<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0034-7744</journal-id>
<journal-title><![CDATA[Revista de Biología Tropical]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. biol. trop]]></abbrev-journal-title>
<issn>0034-7744</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Costa Rica]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0034-77442013000300012</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Bioindicators of climate and trophic state in lowland and highland aquatic ecosystems of the Northern Neotropics]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez]]></surname>
<given-names><![CDATA[Liseth]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lorenschat]]></surname>
<given-names><![CDATA[Julia]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Massaferro]]></surname>
<given-names><![CDATA[Julieta]]></given-names>
</name>
<xref ref-type="aff" rid="A03"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pailles]]></surname>
<given-names><![CDATA[Christine]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sylvestre]]></surname>
<given-names><![CDATA[Florence]]></given-names>
</name>
<xref ref-type="aff" rid="A04"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hollwedel]]></surname>
<given-names><![CDATA[Werner]]></given-names>
</name>
<xref ref-type="aff" rid="A05"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brandorff]]></surname>
<given-names><![CDATA[Gerd-Oltmann]]></given-names>
</name>
<xref ref-type="aff" rid="A06"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Brenner]]></surname>
<given-names><![CDATA[Mark]]></given-names>
</name>
<xref ref-type="aff" rid="A07"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Gerald]]></surname>
<given-names><![CDATA[Islebe]]></given-names>
</name>
<xref ref-type="aff" rid="A08"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lozano]]></surname>
<given-names><![CDATA[María del Socorro]]></given-names>
</name>
<xref ref-type="aff" rid="A08"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Scharf]]></surname>
<given-names><![CDATA[Burkhard]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Schwalb]]></surname>
<given-names><![CDATA[Antje]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Technische Universität Braunschweig Institut für Geosysteme und Bioindikation ]]></institution>
<addr-line><![CDATA[ Braunschweig]]></addr-line>
<country>Germany</country>
</aff>
<aff id="A02">
<institution><![CDATA[,Universidad Nacional Autónoma de México (UNAM) Instituto de Geología ]]></institution>
<addr-line><![CDATA[ Distrito Federal]]></addr-line>
<country>México</country>
</aff>
<aff id="A03">
<institution><![CDATA[,CENAC-APN, CONICET Instituto de Geología ]]></institution>
<addr-line><![CDATA[ Bariloche]]></addr-line>
<country>Argentina</country>
</aff>
<aff id="A04">
<institution><![CDATA[,Université Aix-Marseille CEREGE ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>France</country>
</aff>
<aff id="A05">
<institution><![CDATA[,Oldenburger Strasse CEREGE ]]></institution>
<addr-line><![CDATA[ Varel]]></addr-line>
<country>Germany</country>
</aff>
<aff id="A06">
<institution><![CDATA[,Georg-Gröning-Str. CEREGE ]]></institution>
<addr-line><![CDATA[ Bremen]]></addr-line>
<country>Germany</country>
</aff>
<aff id="A07">
<institution><![CDATA[,University of Florida Department of Geological Sciences & Land Use and Environmental Change Institute ]]></institution>
<addr-line><![CDATA[ Florida]]></addr-line>
<country>USA</country>
</aff>
<aff id="A08">
<institution><![CDATA[,, El Colegio de la Frontera Sur (ECOSUR) Herbario ]]></institution>
<addr-line><![CDATA[Chetumal Quintana Roo]]></addr-line>
<country>México</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2013</year>
</pub-date>
<volume>61</volume>
<numero>2</numero>
<fpage>603</fpage>
<lpage>644</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0034-77442013000300012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0034-77442013000300012&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0034-77442013000300012&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Chironomids, diatoms and microcrustaceans that inhabit aquatic ecosystems of the Northern Neotropics are abundant and diverse. Some species are highly sensitive to changes in water chemical composition and trophic state. This study was undertaken as a first step in developing transfer functions to infer past environmental conditions in the Northern lowland Neotropics. Bioindicator species abundances were related to multiple environmental variables to exploit their use as environmental and paleoenvironmental indicators. We collected and analyzed water and surface sediment samples from 63 waterbodies located along a broad trophic state gradient and steep gradients of altitude (~0-1 560m.a.s.l.) and precipitation (~400-3 200mm/y), from NW Yucatán Peninsula (Mexico) to southern Guatemala. We related 14 limnological variables to relative abundances of 282 diatom species, 66 chironomid morphospecies, 51 species of cladocerans, 29 non-marine ostracode species and six freshwater calanoid copepods. Multivariate statistics indicated that bicarbonate is the strongest driver of chironomid and copepod distribution. Trophic state is the second most important factor that determines chironomid distribution. Conductivity, which is related to the precipitation gradient and marine influence on the Yucatán Peninsula, is the main variable that shapes diatom, ostracode and cladoceran communities. Diatoms, chironomids and cladocerans displayed higher diversities (H=2.4-2.6) than ostracodes and copepods (H=0.7- 1.8). Species richness and diversity were greater at lower elevations (<450m.a.s.l.) than at higher elevations in Guatemala. Distribution and diversity of bioindicators are influenced by multiple factors including altitude, precipitation, water chemistry, trophic state and human impact.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Los quironómidos, diatomeas y microcrustaceos que habitan ecosistemas acuáticos en el norte de los Neotrópicos son abundantes y diversos. Algunas especies son altamente sensibles a cambios en la composición química del agua y en el estado trófico. Este estudio se realizó como el primer paso para desarrollar funciones de transferencia para inferir condiciones ambientales en el norte de las tierras bajas de los Neotrópicos. Es por esto que las abundancias de especies bioindicadoras se relacionaron con múltiples variables ambientales con el fin de explotar al máximo su uso como indicadores ambientales y paleoambientales. Recolectamos y analizamos muestras de agua y de sedimento superficial de 63 cuerpos de agua, ubicados a lo largo de un gradiente trófico y de gradientes marcados de altitud (~0-1 560m.s.n.m.) y de precipitación (~400-3 200mm/año), desde el NO de la Península de Yucatán (México) hasta el sur de Guatemala. Relacionamos 14 variables limnológicas con las abundancias relativas de 282 especies de diatomeas, 66 morfoespecies de quironómidos, 51 especies de cladóceros, 29 especies de ostrácodos no-marinos y seis especies de agua dulce de cladóceros calanoides. La estadística multivariada indicó que el bicarbonato es el principal determinante de la distribución de quironómidos y copépodos. El estado trófico es el segundo factor más importante en determinar la distribución de quironómidos. La conductividad, que está relacionada con el gradiente de precipitación e influencia marina en la Península de Yucatán, es la principal variable en influir las comunidades de diatomeas, ostrácodos y cladóceros. Las diatomeas, quironómidos y cladóceros (H=2.4-2.6) presentaron diversidades más altas que los ostrácodos y copépodos (H=0.7-1.8). La riqueza de especies y la diversidad fueron más altas en las elevaciones bajas (<450m.s.n.m) que en elevaciones altas en Guatemala. La distribución y diversidad de bioindicadores es afectada por múltiples factores incluyendo la altitud, precipitación, composición química del agua, estado trófico y el impacto humano.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[microcrustaceans]]></kwd>
<kwd lng="en"><![CDATA[chironomid]]></kwd>
<kwd lng="en"><![CDATA[diatom]]></kwd>
<kwd lng="en"><![CDATA[aquatic ecosystems]]></kwd>
<kwd lng="en"><![CDATA[bioindicators]]></kwd>
<kwd lng="en"><![CDATA[Northern Neotropics]]></kwd>
<kwd lng="en"><![CDATA[autecology]]></kwd>
<kwd lng="en"><![CDATA[diversity]]></kwd>
<kwd lng="es"><![CDATA[microcrustáceos]]></kwd>
<kwd lng="es"><![CDATA[quironómidos]]></kwd>
<kwd lng="es"><![CDATA[diatomeas]]></kwd>
<kwd lng="es"><![CDATA[ecosistemas acuáticos]]></kwd>
<kwd lng="es"><![CDATA[norte de los Neotrópicos]]></kwd>
<kwd lng="es"><![CDATA[autecología]]></kwd>
<kwd lng="es"><![CDATA[diversidad]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <div style="text-align: justify;">     <div style="text-align: center;"></div>     <div style="text-align: center;"><font size="4"><span  style="font-family: verdana; font-weight: bold;">Bioindicators of climate and trophic state in lowland and highland aquatic ecosystems of the Northern Neotropics</span></font><br  style="font-family: verdana; font-weight: bold;"> </div> <br style="font-family: verdana;">     <div style="text-align: center;"><font size="2"><span  style="font-family: verdana;">Liseth P&eacute;rez<sup><a href="#1">1</a><a name="9"></a>*,<a href="#2">2</a><a  name="10"></a>*</sup>, Julia Lorenschat<a href="#1"><sup>1</sup></a>, Julieta Massaferro<sup><a  href="#3">3</a><a name="11"></a>*</sup>, Christine Pailles<sup><a href="#4">4</a><a name="12"></a>*</sup>, Florence Sylvestre<a href="#4"><sup>4</sup></a>, Werner Hollwedel<sup><a  href="#5">5</a><a name="13"></a>*</sup>, Gerd-Oltmann Brandorff<sup><a href="#6">6</a><a name="14"></a>*</sup>, Mark Brenner<sup><a  href="#7">7</a><a name="15"></a>*</sup>, Gerald Islebe<sup><a href="#8">8</a><a name="16"></a>*</sup>, Mar&iacute;a del Socorro Lozano<sup>2</sup>, Burkhard Scharf<a href="#1"><sup>1</sup></a> &amp; Antje Schwalb<a href="#1"><sup>1</sup></a></span></font><br  style="font-family: verdana;"> </div> <font size="2"><span style="font-family: verdana;"></span></font>    <br>     <a name="Correspondencia2"></a><font size="-1"><span      style="font-family: verdana;">*<a href="#Correspondencia1">Direcci&oacute;n     para correspondencia:</a></span></font><br style="font-family: verdana;">     <hr style="width: 100%; height: 2px;"><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">Abstract</span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Chironomids, diatoms     and     microcrustaceans that inhabit aquatic ecosystems of the Northern     Neotropics are abundant and diverse. Some species are highly sensitive     to changes in water chemical composition and trophic state. This study     was undertaken as a first step in developing transfer functions to     infer past environmental conditions in the Northern lowland Neotropics.     Bioindicator species abundances were related to multiple environmental     ]]></body>
<body><![CDATA[variables to exploit their use as environmental and paleoenvironmental     indicators. We collected and analyzed water and surface sediment     samples from 63 waterbodies located along a broad trophic </span></font><font      size="2"><span style="font-family: verdana;">state gradient and steep     gradients     of altitude (~0-1 560m.a.s.l.) and precipitation (~400-3 200mm/y), from     NW Yucat&aacute;n Peninsula (Mexico) to southern Guatemala. We related     14 limnological variables to relative abundances of 282 diatom species,     66 chironomid morphospecies, 51 species of cladocerans, 29 non-marine     ostracode </span></font><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;">species and six freshwater calanoid     copepods. Multivariate statistics indicated that bicarbonate is the     strongest driver of chironomid and copepod distribution. Trophic state     is the second most important factor that determines chironomid     distribution. Conductivity, which is related to the precipitation     gradient and marine influence on the Yucat&aacute;n Peninsula, is the     main variable that shapes diatom, ostracode and cladoceran communities.     Diatoms, chironomids and cladocerans displayed higher diversities     (H=2.4-2.6) than ostracodes and copepods (H=0.7- 1.8). Species richness     and diversity were greater at lower elevations (&lt;450m.a.s.l.) than     ]]></body>
<body><![CDATA[at higher elevations in Guatemala. Distribution and diversity of     bioindicators are influenced by multiple factors including altitude,     precipitation, water chemistry, trophic state and human impact. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br      style="font-family: verdana; font-weight: bold;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Key words: </span>microcrustaceans,     chironomid, diatom, aquatic ecosystems, bioindicators, Northern     Neotropics, autecology, diversity.</span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">Resumen</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Los     quiron&oacute;midos, diatomeas     y microcrustaceos que habitan ecosistemas acu&aacute;ticos en el norte     de los Neotr&oacute;picos son abundantes y diversos. Algunas especies     son altamente sensibles a cambios en la composici&oacute;n     ]]></body>
<body><![CDATA[qu&iacute;mica del agua y en el estado tr&oacute;fico. Este estudio se     realiz&oacute; como el primer paso para desarrollar funciones de     transferencia para inferir condiciones ambientales en el norte de las     tierras bajas de los Neotr&oacute;picos. Es por esto que las     abundancias de especies bioindicadoras se relacionaron con     m&uacute;ltiples variables ambientales con el fin de explotar al     m&aacute;ximo su uso como indicadores ambientales y paleoambientales.     Recolectamos y analizamos muestras de agua y de sedimento superficial     de 63 cuerpos de agua, ubicados a lo largo de un gradiente     tr&oacute;fico y de gradientes marcados de altitud (~0-1 560m.s.n.m.) y     ]]></body>
<body><![CDATA[de precipitaci&oacute;n (~400-3 200mm/a&ntilde;o), desde el NO de la     Pen&iacute;nsula de Yucat&aacute;n (M&eacute;xico) hasta el sur de     Guatemala. Relacionamos 14 variables limnol&oacute;gicas con las     abundancias relativas de 282 especies de diatomeas, 66 morfoespecies de     quiron&oacute;midos, 51 especies de clad&oacute;ceros, 29 especies de     ostr&aacute;codos no-marinos y seis especies de agua dulce de     clad&oacute;ceros calanoides. La estad&iacute;stica multivariada     indic&oacute; que el bicarbonato es el principal determinante de la     distribuci&oacute;n de quiron&oacute;midos y cop&eacute;podos. El     estado tr&oacute;fico es el segundo factor m&aacute;s importante en     ]]></body>
<body><![CDATA[determinar la distribuci&oacute;n de quiron&oacute;midos. La     conductividad, que est&aacute; relacionada con el gradiente de     precipitaci&oacute;n e influencia marina en la Pen&iacute;nsula de     Yucat&aacute;n, es la principal variable en influir las&nbsp;     comunidades de diatomeas, ostr&aacute;codos y clad&oacute;ceros. Las     diatomeas, quiron&oacute;midos y clad&oacute;ceros (H=2.4-2.6)     presentaron diversidades m&aacute;s altas que los ostr&aacute;codos y     cop&eacute;podos (H=0.7-1.8). La riqueza de especies y la diversidad     fueron m&aacute;s altas en las elevaciones bajas (&lt;450m.s.n.m) que     en elevaciones altas en Guatemala. La distribuci&oacute;n y diversidad     ]]></body>
<body><![CDATA[de bioindicadores es afectada por m&uacute;ltiples factores incluyendo     la altitud, precipitaci&oacute;n, composici&oacute;n qu&iacute;mica del     agua, estado tr&oacute;fico y el impacto humano. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Palabras clave:</span>     microcrust&aacute;ceos, quiron&oacute;midos, diatomeas, ecosistemas     acu&aacute;ticos, norte de los Neotr&oacute;picos, autecolog&iacute;a,     diversidad.</span></font><br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<br style="font-family: verdana;">     <hr style="width: 100%; height: 2px;"><font size="2"><span      style="font-family: verdana;">Natural and     anthropogenic factors     influence physical and chemical lake variables and aquatic biota,     especially environmentally sensitive phytoplankton, phytobenthos,     zooplankton and zoobenthos communities. Such factors include water     extraction, pollution, eutrophication, flow modification, changes in     water level, habitat degradation, climate warming, and changes in     evaporation and precipitation (Dudgeon <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">et al</span>. 2006). Continental     waterbodies are some of the most endangered ecosystems in the world     (Sala <span style="font-style: italic;">et al</span>. 2000),     especially those in developing countries     (P&eacute;rez <span style="font-style: italic;">et al</span>. 2011a).     Waterbodies in the Northern Neotropics are     important resources for local inhabitants. They provide drinking water,     sites for recreation, navigation, and habitat for both aquatic and     terrestrial fauna and flora (Dudgeon <span style="font-style: italic;">et     al</span>. 2006). Despite their     ]]></body>
<body><![CDATA[importance, there have been few limnological or ecological studies of     these ecosystems, especially in Guatemala and Belize (P&eacute;rez <span      style="font-style: italic;">et     al</span>. 2011a). Many local inhabitants around the largest lakes in     Guatemala, Lakes Izabal, Pet&eacute;n Itz&aacute;, Amatitl&aacute;n and     Atitl&aacute;n, rely on local fisheries for subsistence and to generate     income in local markets. Such activities have affected the trophic     state of these lakes. Lake Pet&eacute;n Itz&aacute;, located in the     Maya Biosphere Reserve in Northern Guatemala still displays high     diversity of aquatic bioindicators, but cultural eutrophication in the     ]]></body>
<body><![CDATA[lake has increased during the last few decades (Rosenmeier <span      style="font-style: italic;">et al</span>. 2004,     P&eacute;rez <span style="font-style: italic;">et al</span>. 2010a),     putting many species at risk. Lake     Amatitl&aacute;n is highly productive and has suffered from cultural     eutrophication for decades (P&eacute;rez <span      style="font-style: italic;">et al</span>. 2011a). Aquatic     bioindicator diversities in the lake are probably low because of the     hypereutrophic conditions.&nbsp; Cyanobacteria dominate the     phytoplankton community in the lake, and high rates of decomposition     ]]></body>
<body><![CDATA[lead to hypoxic or anoxic conditions in deep waters. Cyanobacteria     blooms in the lake produce toxins that can be dangerous to humans if     present in high concentrations (P&eacute;rez <span      style="font-style: italic;">et al</span>. 2011a).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Aquatic organisms     that are     sensitive to changes in water chemical composition, pollution and     trophic state, i.e. aquatic bioindicators such as diatoms, chironomids     ]]></body>
<body><![CDATA[and microcrustaceans, are frequently used to track environmental     change. Diatoms are generally a dominant group in the phytoplankton,     whereas cladocerans, copepods and ostracodes are typically the main     zooplankters in fresh waters (Dole-Olivier <span      style="font-style: italic;">et al</span>. 2000, Walseng <span      style="font-style: italic;">et al</span>.     2006). Diatoms are unicellular golden-brown algae (Bacillariophyta)     characterized by silica shells (frustules) that are well preserved in     lake sediments. Diatoms live in planktonic and benthic habitats     (Battarbee <span style="font-style: italic;">et al</span>. 2001).     ]]></body>
<body><![CDATA[Chironomids are non-biting midges (Insecta:     Diptera) and are frequently the most abundant group of aquatic insects     in fresh waters. Chironomids are true flies, but they spend most of     their life cycle (egg, larva, pupa) in aquatic habitats (Armitage <span      style="font-style: italic;">et     al</span>. 1995). They are ubiquitous inhabitants of Neotropical     aquatic     ecosystems. Nevertheless, there have been few studies in the region     concerning their taxonomy and autecology (P&eacute;rez <span      style="font-style: italic;">et al</span>. 2010a).     ]]></body>
<body><![CDATA[Microcrustaceans such as ostracodes, cladocerans and copepods are     important organisms in limnological and paleolimnological studies.     Ostracodes are typically &lt;3mm long. The two valves that enclose the     body are composed of low-Mg calcite (Meisch 2000). Similar to     ostracodes, cladocerans are small (0.2-2.5mm). Limbs and a postabdomen     extend from a ventral opening in the carapace, facilitating locomotion     and feeding (Dole-Olivier <span style="font-style: italic;">et al</span>.     2000). Ostracode valves and cladoceran     exoskeletons preserve well in lake sediments. Body parts of freshwater     copepods (&lt;2.0mm long), however, are poorly preserved. Nevertheless,     ]]></body>
<body><![CDATA[sacs with resting eggs of some copepod species are robust and well     preserved in late Quaternary lake sediments (Bennike 1998).     Microcrustaceans, diatoms and chironomids are the main food sources for     many aquatic macroinvertebrates and for vertebrates such as fish. They     are key components of the food web in lake ecosystems and therefore of     great ecological and economic value (Cohen 2003, O&#8217;Sullivan &amp;     Reynolds 2004). Impacts on these communities from pollution, changes in     lake trophic state or climate, can have dramatic consequences for fish     populations (Moss <span style="font-style: italic;">et al</span>.     2003). Microcrustaceans, diatoms and     ]]></body>
<body><![CDATA[chironomids are widely distributed, can rapidly colonize new habitats     (Cohen 2003, Hausmann &amp; Pienitz 2007) and share characteristics     that make them useful as bioindicators and paleoindicators: (1) their     well preserved remains in lake sediments can be identified to genus,     and sometimes to species level, (2) they are often abundant, (3) they     are highly sensitive to environmental changes, (4) they have short life     cycles and communities thus respond quickly to environmental changes.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Consistent taxonomy,     ]]></body>
<body><![CDATA[along with     information on species autecology and the factors that affect species     distributions and diversity, are indispensable to ensure that     inferences from bioindicators, whether in modern or paleoenvironmental     contexts, are valid. There have been few paleolimnological studies     using bioindicators in remote tropical areas, in large part because of     the paucity of autecological data. Detailed bioindicator analysis,     coupled with information on physical and chemical attributes of aquatic     ecosystems, is required to fully exploit the utility of such     bioindicator taxa. These taxonomic groups are highly sensitive to     ]]></body>
<body><![CDATA[environmental changes, such as shifts in salinity, conductivity or     ionic concentration (Fritz <span style="font-style: italic;">et al</span>.     1991, Smith 1993, P&eacute;rez <span style="font-style: italic;">et al</span>.     2011b), total phosphorus concentration (Hausmann &amp; Kienast 2006),     lake level (Sylvestre 2002), air temperature (Walker <span      style="font-style: italic;">et al</span>. 1997,     Brooks &amp; Birks 2001), pH and organic matter concentration     (Ros&eacute;n <span style="font-style: italic;">et al</span>. 2000),     and changes in precipitation and trophic     state (Massaferro <span style="font-style: italic;">et al</span>.     ]]></body>
<body><![CDATA[2004, P&eacute;rez <span style="font-style: italic;">et al</span>.     2010a).</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">There has been     little research on     the autecology of lacustrine organisms in the Northern Neotropics. Most     studies have focused on taxonomy and biogeography. Studied groups     include cladocerans (El&iacute;as-Guti&eacute;rrez <span      style="font-style: italic;">et al</span>. 2006, 2008)     and copepods (Su&aacute;rez-Morales &amp; El&iacute;as-Guti&eacute;rrez     ]]></body>
<body><![CDATA[2000, Su&aacute;rez-Morales &amp; Reid 2003). P&eacute;rez <span      style="font-style: italic;">et al</span>.     (2010a,b,c, 2011b) recently conducted studies on the freshwater     ostracode fauna of the Yucat&aacute;n Peninsula and surrounding areas.     There are, however, few studies on diatoms and chironomids. This study     presents information on chironomid, diatom, cladoceran, copepod and     ostracode taxa from 63 waterbodies in the Northern Neotropics, along     with associated environmental data. Our objective was to determine the     factors that govern the distributions of these bioindicators so they     could be used to infer late Quaternary environmental conditions and     ]]></body>
<body><![CDATA[climate on the Yucat&aacute;n Peninsula, Guatemala and Belize. In this     study, we (1) present an inventory of the main species that inhabit     aquatic ecosystems of the Northern Neotropics, (2) display ecological     information from the studied waterbodies, (3) evaluate relationships     between bioindicator relative abundances and environmental variables,     (4) identify areas with high species richness and diversity that could     be of conservation interest in this zoogeographic province and (5)     develop a basis for transfer functions that can be applied in     paleolimnological studies to infer past environmental variables such as     water chemical composition and lake level. Ultimately, these transfer     ]]></body>
<body><![CDATA[functions will be applied to fossil assemblages in long sediment cores     retrieved from Lago Pet&eacute;n Itz&aacute;, Guatemala and other     waterbodies in the Northern Neotropics to infer past environmental     variables.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font style="font-weight: bold;" size="3"><span      style="font-family: verdana;">Materials and methods</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span     ]]></body>
<body><![CDATA[ style="font-weight: bold;">Study site: </span>The Yucat&aacute;n     Peninsula (Mexico, Guatemala and Belize, <a      href="/img/revistas/rbt/v61n2/a12i1.jpg">Fig. 1</a>) and surrounding     areas     are rich in aquatic ecosystems that have different origins (tectonic,     volcanic, karstic) and possess diverse water chemical composition.     Chemical characteristics of waterbodies are mainly influenced by     bedrock geology, climate and saltwater intrusion at coastal sites     (P&eacute;rez <span style="font-style: italic;">et al</span>. 2011a).     The Yucat&aacute;n Peninsula (<a     ]]></body>
<body><![CDATA[ href="/img/revistas/rbt/v61n2/a12i1.jpg">Fig. 1</a>) is a     marine carbonate platform. The region is of interest to ecologists and     paleoecologists alike, because it displays steep, increasing NW-S     precipitation (~400- 3 200mm/y) and altitude (~0-1 560m.a.s.l.)     gradients (P&eacute;rez <span style="font-style: italic;">et al</span>.     2011a). A dry season (January-May) and a     rainy season (June- October) characterize the Yucat&aacute;n Peninsula     and surrounding areas. Short-duration showers </span></font><font      size="2"><span style="font-family: verdana;">usually occur from     November to     ]]></body>
<body><![CDATA[December (Schmitter-Soto <span style="font-style: italic;">et al</span>.     2002). Most of the study area is     located in a dry tropical climate zone that is rich in aquatic     ecosystems and displays high aquatic biodiversity (Lutz <span      style="font-style: italic;">et al</span>. 2000,     P&eacute;rez <span style="font-style: italic;">et al</span>. 2011a).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Sampling and habitat     ]]></body>
<body><![CDATA[characterization: </span>Two fieldtrips were carried out in the     Yucat&aacute;n     Peninsula (Mexico), Guatemala and Belize (14&deg;13&#8217;00&#8221;-21&deg;25&#8217;00&#8221; N     and 87&deg;20&#8217;00&#8221;- 91&deg;03&#8217;00&#8221; W) in 2005-2006 and 2008. A single     sampling was carried out for each lake. Chironomids, diatoms and     microcrustaceans (cladocerans, copepods, ostracodes) were collected     from 63 aquatic ecosystems (<a href="/img/revistas/rbt/v61n2/a12i1.jpg">Fig.     1</a>, <a href="/img/revistas/rbt/v61n2/a12t1a.gif">Table 1a</a>, <a      href="/img/revistas/rbt/v61n2/a12t1b.gif">b</a>). These ecosystems     included deep (10-340m) and shallow (&lt;10m) lakes (<a     ]]></body>
<body><![CDATA[ href="/img/revistas/rbt/v61n2/a12t1a.gif">Table 1a</a>),     &#8220;cenotes&#8221; (sinkholes), coastal lagoons, ponds, rivers, and wetlands     (<a href="/img/revistas/rbt/v61n2/a12t1b.gif">Table 1b</a>). Surface     sediment samples (lake deepest point, littoral     zones, other water depths) were retrieved using an Ekman grab.     Ostracodes and cladocerans that live in macrophyte-rich littoral zones     were collected with 250&#956;m and 100&#956;m-mesh hand nets, respectively.     Physical and chemical variables and the chemical and isotopic     composition of lake waters were studied to better characterize the     habitat. Water samples were collected from at least three depths above     ]]></body>
<body><![CDATA[the lake&#8217;s deepest point (surface, mid-depth and bottom). Only surface     waters near the shore were collected in smaller water bodies (ponds,     rivers and wetlands). Water temperature, dissolved oxygen, pH and     conductivity in surface waters were measured <span      style="font-style: italic;">in situ</span> using a WTW Multi     Set 350i. Most measurements were done at midday. Water samples were     collected in duplicate for laboratory analysis of Ca, Na, Mg, K, Cl,     HCO<sub>3</sub>, SO<sub>4</sub>, and for <img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"><sup>18</sup>O     ]]></body>
<body><![CDATA[and <img alt="" src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"><sup>13</sup>C<sub>DIC</sub>     analysis. </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O values were used as     an indicator of the balance between evaporation and precipitation and </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"     ]]></body>
<body><![CDATA[ style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>13</sup>C values as     a productivity proxy (Schwalb 2003). Cations were     measured using an ICP-OES Jobin Yvon JY 50 P Spectrometer. Bicarbonate     was determined by titration with 0.1N HCl. Anions were measured using a     761 Compact IC Methrom at the Institut f&uuml;r Umweltgeologie,     Technische Universit&auml;t Braunschweig, Germany. Carbon and oxygen     isotopes in waters were analyzed on a VG/ Micromass PRISM Series II     isotope ratio mass spectrometer and a Finnigan-MAT DeltaPlus XL isotope     ratio mass spectrometer with a GasBench II universal on-line gas     ]]></body>
<body><![CDATA[preparation device at the University of Florida, USA.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br      style="font-family: verdana; font-weight: bold;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Bioindicator analysis: </span>Surface     sediments (~3g wet sediment) for chironomid analysis were (1)     deflocculated in 10% KOH, (2) heated to 70&deg;C for 10 minutes, (3)     heated in water to 90&deg;C for 20 minutes, and (4) sieved using 212&#956;m     and 95&#956;m-mesh sieves. Chironomid head capsules were extracted from     ]]></body>
<body><![CDATA[samples using a Bogorov sorting tray and fine forceps. Head capsules     were slide-mounted in Euparal, identified, counted and photographed.     Identification followed P&eacute;rez <span style="font-style: italic;">et     al</span>. (2010a). We identified taxa     to the morphospecies level because taxonomic data are generally lacking     for the Northern Neotropics.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Sediment samples for     diatom     ]]></body>
<body><![CDATA[analysis were treated with hot concentrated HNO<sub>3</sub>, then with     33% H<sub>2</sub>O<sub>2</sub>,     followed by successive rinsing and decanting with distilled water.     Sub-samples of the homogenized solution were diluted by adding     distilled water and were left to settle onto coverslips until dry. The     coverslips were fixed onto glass slides with Naphrax&reg; mountant     (refraction index=1.73). Counting was performed generally on three     slides using a Nikon NS600 microscope at 1000x magnification. The total     number of valves counted per sample varied from 50 in nearly sterile     samples to &gt;1000 in rich samples. Diatom identification and taxonomy     ]]></body>
<body><![CDATA[followed Krammer &amp; Lange- Bertalot (1986, 1988, 1991a, 1991b)     revised by the nomenclature of E. Fourtanier &amp; J.P. Kociolek     (on-line version of the Catalog of Diatom Names:     http://research.calacademy.org).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Surface sediments     were initially     analyzed for cladocerans using low magnification on a light microscope.     Remains were isolated, identified, and counted and specimens were kept     ]]></body>
<body><![CDATA[in small vials filled with 3-4% formaldehyde solution. Several drops of     glycerin were added to all vials to prevent desiccation. Permanent     preparations of peculiar species were prepared for detailed microscopic     observation to facilitate identification. We used polyvinyl lactophenol     or Hydro-Matrix&reg; as mounting media. Species were identified using     the works of Korovchinsky (1992), Smirnov (1992, 1996), Lieder (1996),     Fl&ouml;ssner (2000), Kotov &amp; Stifler (2006),     El&iacute;as-Guti&eacute;rrez <span style="font-style: italic;">et al</span>.     (2008) and Van Damme <span style="font-style: italic;">et al</span>.     (2011). Calanoid copepods that live in open waters and littoral zones     ]]></body>
<body><![CDATA[were sampled with a plankton net (100-&#956;m mesh), preserved with 10%     formalin, and identified and counted under a dissecting microscope.     Literature used for taxonomic identification included Bowman (1996),     Guti&eacute;rrez-Aguirre &amp; Su&aacute;rez-Morales (2000),     Su&aacute;rez-Morales &amp; El&iacute;as-Guti&eacute;rrez (2000, 2001),     and El&iacute;as- Guti&eacute;rrez <span style="font-style: italic;">et     al</span>. (2008). The details of the     method used for ostracode analysis is in P&eacute;rez <span      style="font-style: italic;">et al</span>. (2011b).     At least 100 adult ostracode valves were extracted from 50mL of wet     ]]></body>
<body><![CDATA[surface sediment. Samples were wet-sieved using </span></font><font      size="2"><span style="font-family: verdana;">stacked sieves (630-,     250-, 63&#956;m     mesh). Both hard and soft parts were analyzed and used for     identification to species level when possible. Identification followed     Furtos (1933, 1936a, b), Brehm (1939), Keyser (1976), and P&eacute;rez     <span style="font-style: italic;">et al</span>. (2010a, b, c, 2011 b).     Samples are stored at the Institut     f&uuml;r Geosysteme und Bioindikation, Braunschweig, Germany. All     bioindicator data are presented as relative abundances. </span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Species richness     (S), i.e. the     total number of species, and biodiversity, i.e. the Shannon Wiener     Index (H) (Krebs 1989), were determined for each taxonomic group     (chironomids, diatoms, cladocerans, copepods and ostracodes) in all     waterbodies. Multivariate analysis was used to characterize species     autecology by relating species relative abundances to water variables.     Prior to statistical analysis, </span></font><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;">14 environmental     variables (water     depth, water temperature, conductivity, dissolved oxygen (DO),     pH,</span></font><font size="2"><span style="font-family: verdana;"><img      alt="" src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;"><sup>13</sup>C<sub>DIC</sub>,     Ca, K, Mg, Na, Cl, HCO<sub>3</sub>, SO<sub>4</sub>) from all     waterbodies     were standardized (x-mean/st dev) and species relative abundances were     log-transformed. Rare species, i.e. those present in &lt;3 waterbodies,     and samples containing few or no specimens, were excluded from     analysis. Species included in the multivariate analysis are shown in     bold in <a href="/img/revistas/rbt/v61n2/a12t2.gif">tables 2</a>, <a      href="/img/revistas/rbt/v61n2/a12t3.gif">3</a> and <a      href="/img/revistas/rbt/v61n2/a12t4.gif">4</a>. Thirty-eight     ]]></body>
<body><![CDATA[chironomid, 97 diatom, 32     cladoceran, 3 copepod and 17 ostracode species were included in the     statistical analysis. Correlations between environmental factors and     the relative abundance of organisms were explored using Pearson     correlation, which allowed up to seven environmental variables to be     included in statistical analysis. Seven environmental variables were     forward selected for statistical analysis of chironomids (DO, pH,     temperature, conductivity, HCO<sub>3</sub>, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"     ]]></body>
<body><![CDATA[ style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>13</sup>C, water     depth) and diatoms (DO,     pH, temperature, conductivity, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>13</sup>C, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"     ]]></body>
<body><![CDATA[ style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O, water     depth), four for     cladocera (DO, temperature, HCO<sub>3</sub>, conductivity), and six for     copepods     (temperature, HCO<sub>3</sub>, Na, Cl, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O, water depth) and     ]]></body>
<body><![CDATA[ostracodes     (temperature, pH, HCO<sub>3</sub>, Na, conductivity, water depth).     Forward     selection of the environmental variables followed Hausmann &amp;     Kienast (2006) and Mischke <span style="font-style: italic;">et al</span>.     (2007).</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Detrended     Correspondence Analysis     ]]></body>
<body><![CDATA[(DCA) and Canonical Correspondence Analysis </span></font><font      size="2"><span style="font-family: verdana;">(CCA) were used to relate     counts     (relative abundance) of chironomids, diatoms, cladocerans and     ostracodes to environmental variables, whereas Redundancy Analysis     (RDA) was used for copepod counts. This was accomplished using Canoco     for Windows 4.55 (Ter Braak &amp; &#352;milauer 2002). We first estimated     the length of environmental gradients using a DCA and then used a CCA     and RDA to discern the environmental factors that control bioindicator     distributions in the study area. Generally, if a gradient is short     ]]></body>
<body><![CDATA[(&lt;3 SD), a linear model should be used, whereas with larger     gradients (&gt;4 SD), a unimodal model is recommended, because the     approximation using the linear function is poor (Lep&#353; &amp; &#352;milauer     2003).</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">Results</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">We collected 66     chironomid species     ]]></body>
<body><![CDATA[and morphospecies belonging to the subfamilies Chironominae,     Orthocladiinae and Tanypodinae (<a      href="/img/revistas/rbt/v61n2/a12t2.gif">Table 2</a>), 282 diatom     species that     belong to the orders Centrales and Pennales (<a      href="/img/revistas/rbt/v61n2/a12t3.gif">Table 3</a>), 51 cladoceran     species belonging to the orders Anompoda and Ctenopoda, six copepod     species (Calanoida), and 29 ostracode species Podocopina, <a      href="/img/revistas/rbt/v61n2/a12t4.gif">Table 4</a>).     Photographs of selected species are shown in <a     ]]></body>
<body><![CDATA[ href="/img/revistas/rbt/v61n2/a12i2.jpg">figure 2</a>. <a      href="/img/revistas/rbt/v61n2/a12i3a.jpg">Figures 3</a>, <a      href="/img/revistas/rbt/v61n2/a12i4a.jpg">4</a>, <a      href="/img/revistas/rbt/v61n2/a12i5.jpg">5</a>     and <a href="/img/revistas/rbt/v61n2/a12i6.jpg">6 </a>display the     relative abundances and altitude ranges of the     aquatic bioindicators.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Chironomids: </span><a     ]]></body>
<body><![CDATA[ href="/img/revistas/rbt/v61n2/a12i3a.jpg">Figures 3 a</a>, <a      href="/img/revistas/rbt/v61n2/a12i3b.jpg">b</a>, c     display the relative abundances of the most common chironomid     morphospecies, i.e. &gt;10 individuals per waterbody and present in     &gt;2 aquatic ecosystems. The dominant tribe was Chironomini and     consisted of 32 morphospecies (<a      href="/img/revistas/rbt/v61n2/a12t2.gif">Table 2</a>). Widely     distributed taxa, i.e.     present in &gt;15 aquatic environments, included <span      style="font-style: italic;">Cladotanytarsus</span> sp.1,     ]]></body>
<body><![CDATA[<span style="font-style: italic;">Chironomus anthracinus</span>, <span      style="font-style: italic;">Cladopelma</span> sp., <span      style="font-style: italic;">Dicrotendipes </span>sp.,     <span style="font-style: italic;">Goeldochironomus </span>sp., <span      style="font-style: italic;">Micropsectra </span>sp., <span      style="font-style: italic;">Parachironomus </span>sp.,     <span style="font-style: italic;">Paratanytarsus </span>sp.1, <span      style="font-style: italic;">Polypedilum </span>sp. And <span      style="font-style: italic;">Polypedilum </span>sp. 2. <span      style="font-style: italic;">Chironomus     ]]></body>
<body><![CDATA[anthracinus</span>, <span style="font-style: italic;">Dicrotendipes </span>sp.,     <span style="font-style: italic;">Goeldochironomus </span>sp. And <span      style="font-style: italic;">Labrundina</span> sp.     had the highest relative abundances in most aquatic environments. Most     chironomid species were collected at lower elevations (&lt;450m     a.s.l.). Only 15 species were collected in aquatic ecosystems in the     Guatemalan highlands. Dominant species in highland lakes were <span      style="font-style: italic;">Apedilum     </span>sp., <span style="font-style: italic;">Apsectrotanypus </span>sp.     and <span style="font-style: italic;">Chironomus anthracinus</span>. <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Chironomus     anthracinus</span> dominated the chironomid community in hypereutrophic     Lake     Amatitl&aacute;n, Southern Guatemala. Chironomids inhabiting mainly the     Pet&eacute;n lowlands were <span style="font-style: italic;">Stempellina     </span>sp. and     <span style="font-style: italic;">Coelotanypus/Clinotanypus</span>. <span      style="font-style: italic;">Chironomus plumosus</span> was the     dominant species     in Progreso Lagoon, Belize, and <span style="font-style: italic;">Cladopelma     ]]></body>
<body><![CDATA[</span>sp. </span></font><font size="2"><span      style="font-family: verdana;">was collected in all studied     aquatic ecosystems in the Belizean lowlands. Species typical of the     Yucat&aacute;n lowlands were <span style="font-style: italic;">Cladotanytarsus     </span>sp. 1, Goeldochironomus     sp. and <span style="font-style: italic;">Polypedilum </span>sp.1 and     sp. 2.    <br>     <br style="font-family: verdana;">     </span></font><font size="2"><span style="font-family: verdana;"><span     ]]></body>
<body><![CDATA[ style="font-weight: bold;">Diatoms: </span>Diatoms were the most     abundant and diverse taxonomic group studied. <a      href="/img/revistas/rbt/v61n2/a12i3a.jpg">Figures a</a>, <a      href="/img/revistas/rbt/v61n2/a12i3b.jpg">b</a> show the     most abundant diatom species (&gt;2 waterbodies). Pennate diatoms     displayed the highest number of families and species. In contrast,     centric diatoms were only represented by four families (<a      href="/img/revistas/rbt/v61n2/a12t3.gif">Tables 3 a</a>-<a      href="/img/revistas/rbt/v61n2/a12t3.gif">e</a>).     Naviculaceae represents 162 of the 282 diatom species and were mainly     ]]></body>
<body><![CDATA[distributed in lowland waterbodies on the Yucat&aacute;n Peninsula.     Widely distributed diatom species, i.e. those found in &gt;20     waterbodies, include <span style="font-style: italic;">Brachysira     procera</span>, <span style="font-style: italic;">Cyclotella     meneghiniana</span>,     <span style="font-style: italic;">Denticula kuetzingii</span>, <span      style="font-style: italic;">Encyonema densistriata</span>, <span      style="font-style: italic;">Mastogloia smithii</span> and     <span style="font-style: italic;">Nitzschia amphibia</span>. <span      style="font-style: italic;">Nitzschia amphibia</span> and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Ulnaria delicatissima </span>var.     <span style="font-style: italic;">angustissima </span>were found in     all highland lakes. <span style="font-style: italic;">Aulacoseira     granulata</span>,     <span style="font-style: italic;">Fragilaria crotonensis</span>, <span      style="font-style: italic;">Ulnaria acus</span> and <span      style="font-style: italic;">Ulnaria ulna</span> were present in     three of four sampled highland lakes. The dominant species in     hypereutrophic Lake Amatitl&aacute;n were <span      style="font-style: italic;">Cyclotella meneghiniana</span> and     ]]></body>
<body><![CDATA[<span style="font-style: italic;">Discostella</span> aff. <span      style="font-style: italic;">pseudostelligera</span>. <span      style="font-style: italic;">Fragilaria crotonensis</span> is<span      style="font-style: italic;"> </span>a species     restricted to the highlands and the Eastern lowlands in Guatemala,     whereas <span style="font-style: italic;">Staurosirella pinnata</span>     was only collected in Lake Izabal, in the     Eastern lowlands of Guatemala. Interestingly, few waterbodies have a     predominantly monospecific diatom flora, e.g. Lake Rosario (93.6%     <span style="font-style: italic;">Nitzschia amphibioides</span>), Lake     ]]></body>
<body><![CDATA[Atitl&aacute;n (86.2% <span style="font-style: italic;">Fragilaria     crotonensis</span>), Almond Hill Lagoon 81.2% <span      style="font-style: italic;">N. amphibia</span>) and the pond called     Belize 2 (72.6% <span style="font-style: italic;">Encyonema     densistriata</span>).</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Microcrustaceans: </span>Cladocera were     the most diverse group of microcrustacea, with </span></font><font      size="2"><span style="font-family: verdana;">51 species belonging to     ]]></body>
<body><![CDATA[seven     families. Ostracodes were next, with 29 species distributed in 10     families. Calanoid copepods followed, with six species belonging to two     families (<a href="/img/revistas/rbt/v61n2/a12t4.gif">Tables 4 a</a>, <a      href="/img/revistas/rbt/v61n2/a12t4.gif">b</a>). <a      href="/img/revistas/rbt/v61n2/a12i5a.jpg">Figures 5 a</a>, <a      href="/img/revistas/rbt/v61n2/a12i3b.jpg">b</a> and <a      href="/img/revistas/rbt/v61n2/a12i6.jpg">figure 6</a> show the     relative     abundances of the most widespread cladoceran, copepod and ostracode     ]]></body>
<body><![CDATA[species, i.e. those present in &gt;2 aquatic environments.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Cladocerans:</span> Most collected     cladoceran species belong to the order Anomopoda, family Chydoridae     (<a href="/img/revistas/rbt/v61n2/a12t4.gif">Table 4 a</a>). The     greatest numbers of species were collected in lakes,     ponds, and coastal waterbodies, whereas few species were collected in     &#8220;cenotes&#8221; and rivers, where shells without soft parts were generally     ]]></body>
<body><![CDATA[found. Assemblages in the highlands were dominated&nbsp; by <span      style="font-style: italic;">Bosmina     huaronensis</span>, <span style="font-style: italic;">Ceriodaphnia     dubia</span>, <span style="font-style: italic;">Daphnia mendotae</span>,     <span style="font-style: italic;">Daphnia pulicaria</span>,     <span style="font-style: italic;">Moinodaphnia minuta</span> and <span      style="font-style: italic;">Simocephalus congener</span>. <span      style="font-style: italic;">Daphnia pulicaria</span> and     <span style="font-style: italic;">Simocephalus congener</span> are     restricted to highland lakes. <span style="font-style: italic;">Daphnia     ]]></body>
<body><![CDATA[mendotae</span> was the only species collected in highly productive     Lake     Amatitl&aacute;n. <span style="font-style: italic;">Ceriodaphnia </span>cf.     <span style="font-style: italic;">rigaudi </span>and <span      style="font-style: italic;">Bosmina huaronensis</span>     displayed high relative abundance (&gt;35%) in the Eastern lowlands of     Guatemala. <span style="font-style: italic;">Dunhevedia odontoplax</span>     was the only species restricted to the     Pet&eacute;n and Belize lowlands, and like <span      style="font-style: italic;">Ceriodaphnia dubia</span>, was     ]]></body>
<body><![CDATA[absent in the Yucat&aacute;n lowlands. The greatest numbers of     cladoceran species were collected in the Mexican lowlands (n=41),     followed by the Belizean lowlands (n=36), and the Guatemalan lowlands     (n=25). Cladoceran communities in the lowlands were dominated by     <span style="font-style: italic;">Diaphanosoma brevireme</span>, <span      style="font-style: italic;">Simocephalus serrulatus</span>, <span      style="font-style: italic;">Bosmina tubicen</span>,     <span style="font-style: italic;">Ilyocryptus spinifer</span>, <span      style="font-style: italic;">Macrothrix elegans</span>, <span      style="font-style: italic;">Macrothrix </span>cf. <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">spinosa</span>,     <span style="font-style: italic;">Anthalona verrucosa</span>, <span      style="font-style: italic;">Chydorus brevilabris</span> and <span      style="font-style: italic;">Chydorus eurynotus</span>. Rare     cladoceran species collected in only one waterbody of the lowlands     include <span style="font-style: italic;">Coronatella circumfimbriata</span>     (Loch&eacute;), <span style="font-style: italic;">Dadaya macrops</span>     (Jamol&uacute;n), <span style="font-style: italic;">Karualona karua</span>     (Cenote), <span style="font-style: italic;">Kurzia longirostris</span>     (Chacan-Bata) </span></font><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;">and <span style="font-style: italic;">Oxyurella     ciliata</span>     (Cayuc&oacute;n).</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Copepods:</span> Only calanoid copepods     were studied, and only six species belonging to the families     Diaptomidae and Pseudodiaptomidae were identified (<a      href="/img/revistas/rbt/v61n2/a12t4.gif">Table 4 b</a>, <a      href="/img/revistas/rbt/v61n2/a12i6.jpg">Fig. 6</a>).     ]]></body>
<body><![CDATA[Copepod species found in highland lakes include <span      style="font-style: italic;">Arctodiaptomus     dorsalis</span>, <span style="font-style: italic;">Leptodiaptomus     siciloides</span> and <span style="font-style: italic;">Prionodiaptomus     colombiensis</span>.     <span style="font-style: italic;">Arctodiaptomus dorsalis</span> was     the only species collected in     hypereutrophic Lake Amatitl&aacute;n. <span style="font-style: italic;">Leptodiaptomus     siciloides</span> and <span style="font-style: italic;">P.     colombiensis</span> are rare species that live in the highlands and     ]]></body>
<body><![CDATA[were     collected in the oligotrophic Laguna de Ayarza and in Lake G&uuml;ija.     <span style="font-style: italic;">Arctodiaptomus dorsalis</span> was     widely distributed in the lowlands, but     mostly dominated aquatic ecosystems in the Pet&eacute;n lowlands.     <span style="font-style: italic;">Mastigodiaptomus nesus</span> is     restricted to the Belize and Yucat&aacute;n     lowlands, whereas <span style="font-style: italic;">Pseudodiaptomus     marshi</span> inhabits the Pet&eacute;n and     Belize lowlands. Except for <span style="font-style: italic;">Mastigodiaptomus     ]]></body>
<body><![CDATA[nesus</span>, which was found in     Cenote Juarez, no calanoid copepods were collected from &#8220;cenotes&#8221; and     rivers.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Ostracodes: </span>Partial results on     ostracode distribution in the Yucat&aacute;n Peninsula and surrounding     areas were published by P&eacute;rez <span style="font-style: italic;">et     al</span>. (2011b) and therefore only     the most important results are presented here. Ostracoda was the group     ]]></body>
<body><![CDATA[of microcrustaceans that displayed the highest number of families     (<a href="/img/revistas/rbt/v61n2/a12t4.gif">Table 4 b</a>, <a      href="/img/revistas/rbt/v61n2/a12i6.jpg">Fig. 6</a>). Families with     highest numbers of species included     Cyprididae (n=11), Candonidae (n=6) and Limnocytheridae (n=5). The     genera <span style="font-style: italic;">Limnocythere </span>and <span      style="font-style: italic;">Physocypria </span>had the highest     numbers of species     (n=3). Ubiquitous species include <span style="font-style: italic;">Cypridopsis     okeechobei</span>, <span style="font-style: italic;">Cytheridella     ]]></body>
<body><![CDATA[ilosvayi</span>, <span style="font-style: italic;">Darwinula stevensoni</span>     and <span style="font-style: italic;">Pseudocandona </span>sp. (<a      href="/img/revistas/rbt/v61n2/a12i6.jpg">Fig.     6</a>). There is     a clear difference between highland and lowland assemblages and between     fresh and brackish water assemblages. Species typical of the highlands     are </span></font><font size="2"><span style="font-family: verdana;"><span      style="font-style: italic;">Candona </span>sp., <span      style="font-style: italic;">Chlamydotheca     colombiensis</span>, <span style="font-style: italic;">Ilyocypris </span>cf.     ]]></body>
<body><![CDATA[<span style="font-style: italic;">gibba</span>, <span      style="font-style: italic;">Limnocythere </span>sp. and <span      style="font-style: italic;">Trajancypris     </span>sp. <span style="font-style: italic;">Physocypria </span>denticulate     inhabits aquatic ecosystems of the lowlands     in Belize and Yucat&aacute;n, whereas Physocypria <span      style="font-style: italic;">globula </span>is restricted     to the Pet&eacute;n lowlands. Lowland rare species <span      style="font-style: italic;">Cytherura sandbergi</span>,     <span style="font-style: italic;">Elpidium bromeliarum</span>, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Eucypris</span> sp., and <span      style="font-style: italic;">Physocypria xanabanica</span>, were     collected in Celest&uacute;n, R&iacute;o Dulce, Laguna Rosario, and in     the small pond Belize 1, respectively. <span      style="font-style: italic;">Cypretta brevisaepta</span> was     abundant in Lake Oquevix and in a small pond nearby.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Species richness and diversity in     ]]></body>
<body><![CDATA[aquatic ecosystems: </span>The species richness (S) and the Shannon     Wiener     diversity index (H) of diatoms, chironomids and microcrustaceans for     the 63 studied aquatic ecosystems are shown in <a      href="/img/revistas/rbt/v61n2/a12i7.jpg">figures 7 a</a>, <a      href="/img/revistas/rbt/v61n2/a12i7b.jpg">b</a>.     Ostracodes were collected in 59 waterbodies, chironomids in 53 and     cladocerans in 46. Copepods were found in only 30 aquatic environments.     Lowland waterbodies (&lt;450m.a.s.l.) displayed highest diversity     values, up to H=2.6 (diatoms), and greatest species richness, as many     ]]></body>
<body><![CDATA[as 33 species (cladocerans). Lowland waterbodies Crooked Tree Lagoon,     Lake Pet&eacute;n Itz&aacute; and Almond Hill Lagoon, followed by Lakes     Yaxh&aacute;, Macanch&eacute;, San Jos&eacute; Aguilar, Cayuc&oacute;n,     San Francisco Mateos, Cob&aacute;, Yalahau, Ocom, Nohbec, Milagros and     Bacalar, yielded the highest overall species richness (up to S=77) on     the Yucat&aacute;n Peninsula and in surrounding areas. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Chironomids and     ostracodes were     ]]></body>
<body><![CDATA[present in all waterbody types (<a      href="/img/revistas/rbt/v61n2/a12i7a.jpg">Fig. 7 a</a>). Sampled     rivers lacked     diatoms and cladocerans. Copepods were scarce in rivers, &#8220;cenotes&#8221; and     coastal waterbodies. The Jamol&uacute;n wetland was dominated by     chironomids and cladocerans. Cladocerans and ostracodes were present in     all the highland lakes. Lakes Amatitl&aacute;n, Gloria,     Petexbat&uacute;n, Celest&uacute;n and Laguna Rosada displayed H values     of 0 for chironomids, cladocerans and calanoid copepods. Ostracodes     yielded H values &gt;0, in T&Uuml;M, a pond near Lake Oquevix, in the     ]]></body>
<body><![CDATA[Sub&iacute;n river and in Laguna Rosada. Cenote San Ignacio     Chochol&aacute; displayed an H=0 for all </span></font><font size="2"><span      style="font-family: verdana;">bioindicators. Sabanita yielded an     H&gt;0 only for chironomids (H=1.8).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Chironomids were     prominent mainly     in lowland lakes. Up to 18 morphospecies were collected in Lake     Yaxh&aacute; and in the pond Belize 2, and 16 species were collected in     ]]></body>
<body><![CDATA[Lakes Oquevix, Almond Hill Lagoon, Chacan-Bata, Bacalar and highland     Guatemala Lake Atitl&aacute;n (<a      href="/img/revistas/rbt/v61n2/a12i7a.jpg">Fig. 7 a</a>).     Hypereutrophic Lake     Amatitl&aacute;n had a monospecific chironomid assemblage of <span      style="font-style: italic;">Chironomus     anthracinus</span>. <span style="font-style: italic;">Dicrotendipes </span>sp.     was the only species collected in Lake     Petexbat&uacute;n, southern Pet&eacute;n. Highest diversity was     reported in Lakes Oquevix (H=2.50) and Yaxh&aacute; (H=2.54).     ]]></body>
<body><![CDATA[Relatively low diversities (H&#8804;0.7) were determined in Cenotes     Pet&eacute;n de Monos and Timul, Northern Yucat&aacute;n Peninsula. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Diatoms were     generally more diverse     than other bioindicators in each waterbody. The number of diatom     species per lake, if present, ranged from 7 to 28. Highest numbers of     species (S&gt;20) were reported in Lakes Pet&eacute;n Itz&aacute;,     Yaxh&aacute;, Cob&aacute;, Yalahau, Milagros, San Jos&eacute; Aguilar,     ]]></body>
<body><![CDATA[San Francisco Mateos, Cenote and Crooked Tree Lagoon. Among sampled     ponds, only Belize 1 and 2 possessed diatoms. In oligotrophic Crater     Lake Ayarza, no diatoms were found. High diatom diversities (H&#8805;2.0)     were determined in Lakes Yaxh&aacute;, Macanch&eacute;, Pet&eacute;n     Itz&aacute;, San Jos&eacute; Aguilar, San Francisco Mateos,     Cob&aacute;, Yalahau, Milagros, Bacalar, Crooked Tree Lagoon, Cenote     Xlacah and in coastal waterbody Celest&uacute;n. In contrast, Lakes     Atitl&aacute;n, Rosario, Almond Hill Lagoon and Cenote Timul were     characterized by low diversities (H&lt;1.0). </span></font><br      style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Highest cladoceran     species richness     was found in Crooked Tree Lagoon (33), Almond Hill Lagoon (21), Lakes     Pet&eacute;n Itz&aacute; and Ocom, and in the Jamol&uacute;n wetland     (17). Few cladocerans were found in &#8220;cenotes&#8221; and coastal environments.     The highest diversity index (H=2.4) was also found in Crooked Tree     Lagoon. Male specimens were rare and reported for the cladoceran     species <span style="font-style: italic;">Ceriodaphnia </span>cf. <span      style="font-style: italic;">rigauda</span>, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Diaphanosoma brevireme</span>, <span      style="font-style: italic;">Ephemeroporus     barroisi</span>, <span style="font-style: italic;">Macrothrix elegans</span>     and <span style="font-style: italic;">Macrothrix paulensis</span>.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Highest numbers of     ostracode     species (&#8804;10) were collected in Lakes Bacalar and Milagros in Eastern     Yucat&aacute;n and in Ixl&uacute; River, Northern Guatemala (<a     ]]></body>
<body><![CDATA[ href="/img/revistas/rbt/v61n2/a12i7a.jpg">Fig. 7 a</a>).     The largest and deepest lake, Pet&eacute;n Itz&aacute;, possessed nine     ostracode species. Only a few waterbodies on the Yucat&aacute;n     Peninsula lacked ostracodes: Chacan Lara, Sabanita and Silvituc.     Ostracodes were abundant on the Yucat&aacute;n Peninsula, especially in     the lowlands of Pet&eacute;n (S&#8805;5). Rivers were characterized by     relatively high numbers of </span></font><font size="2"><span      style="font-family: verdana;">species (S=5-10). Ostracodes in     &#8220;cenotes&#8221; and in the Jamol&uacute;n wetland were not as abundant as in     other aquatic ecosystems. Ostracodes were highly diverse in rivers, and     ]]></body>
<body><![CDATA[lowland lakes (H&#8804;1.8). Ponds displayed low diversities (H&#8804;0.5) except     for a pond near Lake Oquevix (T&Uuml;M, H=1.0). Brackish waterbodies     were characterized by diversity indices &#8804;1.29. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Copepods were less     abundant and     diverse than chironomids, diatoms, cladocerans and ostracodes. Few     calanoid copepod species (S&#8804;2) were collected and were rarely found in     rivers, &#8220;cenotes&#8221; or coastal waterbodies. Copepod diversity in the     ]]></body>
<body><![CDATA[study area was &#8804;0.69. Highest diversities were reported in Lakes     Bacalar and San Francisco Mateos, followed by Lakes Izabal (H=0.65),     Crooked Tree Lagoon (H=0.60) and Almond Hill Lagoon (H=0.33).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Calibration of bioindicators on the     Yucat&aacute;n Peninsula:</span> We assessed relationships between the     various     studied biological groups and environmental variables. Quantitative     ]]></body>
<body><![CDATA[relations between chironomids, diatoms, cladocerans and ostracodes and     environmental variables were assessed using a unimodal model with 14     explanatory variables, because gradient lengths were &#8805;3 standard     deviations (SDs). The first two axes in the DCA explained 17.7% of     chironomid variability, 16.3% of diatom variability, 21.5% of     cladoceran variability, and 27.8% of the ostracode species data. The     sum of eigenvalues was 2.8 for chironomids, 4.3 for cladocerans, 6.1     for diatoms and 3.1 for ostracodes.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"><span style="font-family: verdana;">To improve the     performance of the     CCA model, the number of environmental variables was reduced to include     only those that best explain the bioindicator distributions.     Forwardselected variables displayed low inflation factors (&lt;5).     Seven variables were related to chironomid (HCO<sub>3</sub>, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>13</sup>C, pH,     ]]></body>
<body><![CDATA[temperature, conductivity, dissolved oxygen, water depth) and diatom     relative abundances (conductivity, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O, dissolved oxygen,     temperature,     pH, </span></font><font size="2"><span style="font-family: verdana;"><img      alt="" src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;"><sup>13</sup>C, water     depth), four to cladoceran (conductivity, HCO<sub>3</sub>,     temperature, dissolved oxygen) and six to ostracode abundances     (conductivity, HCO<sub>3</sub>, Na, water depth, temperature, pH) (<a      href="/img/revistas/rbt/v61n2/a12i8.jpg">Fig.     8</a>). For     copepods, a linear model was chosen because the gradient length was     only 2.15 SD units. The first two axes in the DCA explained 72.9% of     the variability in the copepod species data. The sum of eigenvalues was     1.6. Six forward-selected variables (HCO<sub>3</sub>, Cl, Na,     ]]></body>
<body><![CDATA[temperature, water     depth, </span></font><font size="2"><span style="font-family: verdana;"><img      alt="" src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O) were     included in the final RDA. In the final CCAs and RDA,     HCO<sub>3</sub> was the main factor controlling chironomid and copepod     assemblages     on the Yucat&aacute;n Peninsula (<a      href="/img/revistas/rbt/v61n2/a12i8.jpg">Fig. 8</a>). Diatom,     ]]></body>
<body><![CDATA[cladoceran and     ostracode communities are more influenced by conductivity. </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>13</sup>C<sub>DIC</sub>,     a     lake productivity proxy, and lakewater </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"     ]]></body>
<body><![CDATA[ style="width: 11px; height: 13px;"></span></font><font size="2"><span      style="font-family: verdana;"><sup>18</sup>O, a proxy for changes in     the     balance between evaporation and precipitation and perhaps conductivity,     were the second most important factors affecting chironomid and diatom     distributions, respectively (<a href="/img/revistas/rbt/v61n2/a12i8.jpg">Fig.     8</a>). The final CCA for chironomids     explained 4.8% (1=0.14, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"     ]]></body>
<body><![CDATA[ style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">2=0.11), 6.8% for diatoms (1=0.42, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"      style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">2=0.33),     6.4% for cladocerans (<img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"      style="width: 14px; height: 11px;">1=0.27, </span></font><font      size="2"><span style="font-family: verdana;"><img alt=""     ]]></body>
<body><![CDATA[ src="/img/revistas/rbt/v61n2/a12f2.jpg"      style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">2=0.15), 9.9% for     ostracodes (</span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"      style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">1=0.31, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"     ]]></body>
<body><![CDATA[ style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">2=0.13) of the variability in species     data, and the final RDA for     copepods explained 24.9% (</span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"      style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">1=0.25, </span></font><font size="2"><span      style="font-family: verdana;"><img alt=""      src="/img/revistas/rbt/v61n2/a12f2.jpg"     ]]></body>
<body><![CDATA[ style="width: 14px; height: 11px;"></span></font><font size="2"><span      style="font-family: verdana;">2=0.11) of the variability in     species data (<a href="/img/revistas/rbt/v61n2/a12t5.gif">Table 5</a>).     </span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Chironomid species     such as     <span style="font-style: italic;">Stempellina </span>sp., <span      style="font-style: italic;">Goeldochironomus </span>sp., <span      style="font-style: italic;">Coelotanypus/Clinotanypus</span>,     ]]></body>
<body><![CDATA[<span style="font-style: italic;">Paratanytarsus </span>sp. 2,     Tanytarsini A and Tanytarsini J were positioned     in the lower left quadrant of the CCA ordination biplot&nbsp; <a      href="/img/revistas/rbt/v61n2/a12i8.jpg">Fig. 8     a</a>). These species are typical of lowland waterbodies, especially     those     located on the Eastern part of the Yucat&aacute;n Peninsula, Belize,     and the central and Eastern areas of the Pet&eacute;n Lake District.     Species located in the upper left quadrant inhabit mainly lowland     aquatic ecosystems, except for <span style="font-style: italic;">Apedilum     ]]></body>
<body><![CDATA[</span>sp. This species was collected     at both high and low elevations, but was more abundant in highland Lake     Atitl&aacute;n. <span style="font-style: italic;">Apsectrotanypus </span>sp.,     <span style="font-style: italic;">Cricotopus </span>spp., Tanytarsini     C and     <span style="font-style: italic;">Stenochironomus </span>sp. inhabit     highland lakes and were positioned in the     right upper quadrant of the biplot. The chironomid species     <span style="font-style: italic;">Glyptotendipes </span>sp. 2 in the     upper part of the right quadrant of the     ]]></body>
<body><![CDATA[biplot was mainly collected in &#8220;cenotes,&#8221; Lake Oquevix, R&iacute;o     Dulce and Loch&eacute; pond. <span style="font-style: italic;">Chironomus     anthracinus</span>, located in the     lower right quadrant, was the only species present in hypereutrophic     LakeAmatitl&aacute;n. <span style="font-style: italic;">Labrundina </span>sp.,     <span style="font-style: italic;">Beardius </span>sp. and </span></font><font      size="2"><span style="font-family: verdana;"><span      style="font-style: italic;">Paratanytarsus </span>sp.1 were widely     distributed in the lowlands of the Yucat&aacute;n Peninsula and     surrounding areas.</span></font><br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Diatom species <span      style="font-style: italic;">Halamphora     coffeaeformis</span>, <span style="font-style: italic;">Campylostylus     normannianus</span>, <span style="font-style: italic;">Nitzschia </span></span></font><font      size="2"><span style="font-family: verdana;"><span      style="font-style: italic;">frustulum</span>, <span      style="font-style: italic;">Navicula palestinae</span>,     <span style="font-style: italic;">Tabularia fasciculata</span>, <span      style="font-style: italic;">Navicula salinarum</span>, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Amphora securicula</span> and     <span style="font-style: italic;">Cocconeis placentula</span> are     located in the lower quadrant of the biplot     (<a href="/img/revistas/rbt/v61n2/a12i8a.jpg">Fig. 8 b</a>) and are     characteristic of lakes with high conductivities, up     to 38.2mS/cm. Species characteristic of lower conductivities and most     diatom species typical of fresh waters are located near the central     part of the biplot.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">The CCA biplot for     ]]></body>
<body><![CDATA[cladocerans     indicates that water conductivity influences species distribution on     the Yucat&aacute;n Peninsula (<a      href="/img/revistas/rbt/v61n2/a12i8.jpg">Fig. 8 c</a>). <span      style="font-style: italic;">Simocephalus mixtus</span> and     <span style="font-style: italic;">Karualona muelleri</span> were     positioned in the upper right and left quadrant     of the CCA biplot, respectively, because they dominated lakes with high     conductivities (up to ~6 000&#956;S/cm) such as Cenote, Almond Hill Lagoon,     Chichancanab, Punta Laguna, Yalahau, among others. <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Kurzia polyspina</span> was     located in the upper right quadrant because it prefers waters with     dissolved oxygen concentrations between 7.3 and 8.3mg/L. <span      style="font-style: italic;">Streblocerus     pygmaeus</span>, located in the lower left quadrant of the CCA biplot,     is a     species typical of warm lake waters (&gt;25&deg;C) with lower     conductivities (&lt;350&#956;S/cm) such as Oquevix, Crooked Tree Lagoon and     Cayuc&oacute;n. The dominant cladocerans in highland Lakes     Atitl&aacute;n, Amatitl&aacute;n, Ayarza and G&uuml;ija were     ]]></body>
<body><![CDATA[<span style="font-style: italic;">Ceriodaphnia dubia </span>and <span      style="font-style: italic;">Bosmina huaronensis</span>, located in the     upper and     lower right quadrants, respectively. <span style="font-style: italic;">Moina     minuta</span> was typical of Lake     Atescatempa, Izabal, Chacan-Bata, pond Belize 1 and the Jamol&uacute;n     wetland. <span style="font-style: italic;">Daphnia mendotae</span> was     the only species identified in surface     sediments from Lake Amatitl&aacute;n.</span></font><br      style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Similar to the     findings for     chironomids, bicarbonate determined calanoid copepod distribution in     the study area (<a href="/img/revistas/rbt/v61n2/a12i8a.jpg">Fig. 8 d</a>).     Few specimens were collected in the     highlands of Southern Guatemala, thus all species on the biplot are     typical of the lowlands. <span style="font-style: italic;">Arctodiaptomus     dorsalis</span>, in the lower left     quadrant of the ordination diagram, dominated lakes with fresh waters,     ]]></body>
<body><![CDATA[and was absent in &#8220;cenotes&#8221; and coastal waterbodies. <span      style="font-style: italic;">Mastigodiaptomus     nesus</span>, in the lower right quadrant, is typical of HCO3- rich     waters     (125-710mg/L), such as San Jos&eacute; Aguilar, Loch&eacute;,     Ju&aacute;rez, Cob&aacute;, Punta Laguna, Chichancanab and Yalahau.     <span style="font-style: italic;">Pseudodiaptomus marshi</span>, in the     upper right quadrant, is typical of     lakes at low altitudes (&lt;5m.a.s.l.), such as Lake </span></font><font      size="2"><span style="font-family: verdana;">Izabal, Guatemala and     ]]></body>
<body><![CDATA[Lagoons     Progreso and Almond Hill, Belize. This species was also collected in     waterbodies displaying slightly higher conductivities, such as Bacalar     and Lagoons Progreso and Almond Hill.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">The CCA biplot for     ostracodes     suggests that conductivity, followed by HCO<sub>3</sub>, are the </span></font><font      size="2"><span style="font-family: verdana;">main factors controlling     ]]></body>
<body><![CDATA[species     distribution (<a href="/img/revistas/rbt/v61n2/a12i8a.jpg">Fig. 8 e</a>).     <span style="font-style: italic;">Perissocytheridea     cribosa</span>, <span style="font-style: italic;">Cyprideis </span>sp.     and     <span style="font-style: italic;">Thalassocypria </span>sp. are     situated in the positive part of axis 1,     indicating their preference for high-conductivity waters     (750&#956;S/cm-55.3mS/cm). Ostracode species that prefer freshwaters are     situated in the center of the CCA biplot. <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Cypridopsis vidua</span>, in the     upper right quadrant of the CCA biplot, was more </span></font><font      size="2"><span style="font-family: verdana;">abundant in highland Lake     Ayarza,     Guatemala. Species tolerating the hypereutrophic water of Lake     Amatitl&aacute;n include <span style="font-style: italic;">Candona </span>sp.,     <span style="font-style: italic;">Cypridopsis vidua</span> and <span      style="font-style: italic;">Darwinula     stevensoni</span>. Ostracodes displaying high abundances in highland     and     ]]></body>
<body><![CDATA[lowland lakes included <span style="font-style: italic;">Cypridopsis     okeechobei</span>, <span style="font-style: italic;">Cytheridella     ilosvayi</span>     and <span style="font-style: italic;">Darwinula stevensoni</span>. <span      style="font-style: italic;">Potamocypris </span>sp., in the upper     left quadrant,     was collected in Lakes Rosario, Yalahau, Loch&eacute; pond and Cenote     Timul, suggesting its preference for warm waters (up to 32&deg;C) and     waters with HCO3 concentrations as high as 707mg/L.</span></font><br      style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"></font><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">Discussion</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Neotropical aquatic bioindicators     across broad trophic and climatic gradients:</span> We have provided a     first     comprehensive list of modern diatom (282) and chironomid (66) species     for the region, along with species distributions, relative abundances     ]]></body>
<body><![CDATA[in each lake, and quantitative ecological information. CCA ordination     biplots, relating bioindicator species and forward selected variables,     distinguish between taxa typical of highland vs. lowland lakes,     brackish vs. fresh waters, alkaline vs. acidic waters, and lakes of     different trophic states. Most bioindicator species live at low     elevations (&lt;450m.a.s.l.), with fewer species and individuals in     highland lakes. In general, diatom, cladoceran and ostracode     communities are most affected by conductivity, reflecting lake water     chemical composition, marine influence (Perry <span      style="font-style: italic;">et al</span>. 1995) and the N-S     ]]></body>
<body><![CDATA[precipitation gradient in the Yucat&aacute;n Peninsula. Species of     these taxonomic groups presented characteristic faunas of fresh and     brackish waters. Bicarbonate controls chironomid and copepod     distribution in the study area. Concentration of bicarbonate in lake     waters is an important variable in the study area because most of the     studied lakes lie in karst terrain. Another related factor could be the     greater abundance of edible algae in hard water lakes (Ghadouani <span      style="font-style: italic;">et al</span>.     1998). The second determinant variable for chironomid distribution     was&nbsp;<img alt="" src="/img/revistas/rbt/v61n2/a12f1.jpg"     ]]></body>
<body><![CDATA[ style="width: 11px; height: 13px;"><sup>13</sup>C<sub>DIC</sub>, an     indicator of lake water productivity (McKenzie 1985),     indicating the potential of some chironomid species as indicators of     lake trophic state. Our results demonstrate that aquatic bioindicators     on the Yucat&aacute;n Peninsula are highly sensitive to changes in     water column conductivity, alkalinity and trophic state.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">S&aacute;nchez <span      style="font-style: italic;">et al</span>. (2002)     ]]></body>
<body><![CDATA[identified 75 diatom species in &#8220;cenotes&#8221; and anchialine caves on the     Eastern Yucat&aacute;n Peninsula. Similar to our findings, they     reported that pennate diatoms were the dominant group. Few diatoms were     of marine origin. Similar results were also found in aquatic ecosystems     of Costa Rica (Haberyan <span style="font-style: italic;">et al</span>.     1997), El Salvador (Rivas Flores <span style="font-style: italic;">et     al</span>.     2010) and Nicaragua (Swain 1966). All studies indicated that     Naviculaceae is a dominant family in waterbodies of the Northern     Neotropics. Six species belonging to Naviculaceae, Thalassiosiraceae     ]]></body>
<body><![CDATA[and Bacillariaceae were hydrochemically tolerant and displayed wide     distributions: <span style="font-style: italic;">Brachysira procera</span>,     <span style="font-style: italic;">Encyonema densistriata</span>, <span      style="font-style: italic;">Mastogloia     smithii</span>, <span style="font-style: italic;">Denticula kuetzingii</span>,     <span style="font-style: italic;">Cyclotella meneghiniana</span> and <span      style="font-style: italic;">Nitzschia     amphibia</span>. <span style="font-style: italic;">Nitzschia amphibian</span>     tolerates broad trophic state and     conductivity ranges. <span style="font-style: italic;">Cyclotella     ]]></body>
<body><![CDATA[meneghiniana</span> and <span style="font-style: italic;">Discostella </span>aff.     <span style="font-style: italic;">pseudostelligera</span> dominated the     hypereutrophic waters of Lake     Amatitl&aacute;n, Guatemala. Velez <span style="font-style: italic;">et     al</span>. (2011) used diatoms and other     variables to infer environmental and cultural changes in and around     this highland lake. They suggested that <span      style="font-style: italic;">C. meneghiniana</span> is an indicator     of low lake levels, whereas <span style="font-style: italic;">N.     amphibia</span> indicates eutrophic waters.     ]]></body>
<body><![CDATA[Highland and lowland lakes differ in their bioindicator communities, as     some species are highly sensitive and restricted to specific areas.     <span style="font-style: italic;">Fragilaria crotonensis </span>is a     species typical of the highlands and     Eastern lowlands in Guatemala. <span style="font-style: italic;">Fragilaria     </span>species indicate oligotrophic     to mesotrophic conditions (Castellanos &amp; Dix 2009). This species     dominated (86.2%) in Lake Atitl&aacute;n, a lake that experienced     extensive cyanobacteria (<span style="font-style: italic;">Lyngbya     hieronymusii/birgei/robusta</span>) blooms in     ]]></body>
<body><![CDATA[October 2009 (Rejm&aacute;nkov&aacute; <span      style="font-style: italic;">et al</span>. 2011). When we visited     Lake Atitl&aacute;n in March 2008, the lake still displayed oligo- to     mesotrophic conditions, indicated by the dominance of <span      style="font-style: italic;">F. crotonensis</span>,     shortly before the first cyanobacteria bloom, which occurred in     December 2008.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Vinogradova &amp;     Riss (2007)     ]]></body>
<body><![CDATA[reported 84 chironomid taxa, mainly morphospecies, from 18 lakes on the     Yucat&aacute;n Peninsula. In their study, the dominant chironomid     species were <span style="font-style: italic;">Cladopelma lateralis</span>     and species belonging to the genus     <span style="font-style: italic;">Tanytarsus</span>. Our dataset     included a larger number of aquatic ecosystems     (n=63), however results from both studies are similar. Few chironomid     taxa are restricted to specific </span></font><font size="2"><span      style="font-family: verdana;">areas. Rather, the dipterans seem     to tolerate a broad range of environmental conditions. <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Chironomus     anthracinus</span> displayed high relative abundance in most sampled     waterbodies and the larvae have been to shown to be among the dominant     food items of fish (Armitage <span style="font-style: italic;">et al</span>.     1995). This species was very     abundant </span></font><font size="2"><span      style="font-family: verdana;">in many of our surface sediment     samples. It tolerates eutrophic waters (Porinchu &amp; Mac- Donald     2003), which characterize many lowland and some highland lakes in the     study area. For instance, <span style="font-style: italic;">C.     ]]></body>
<body><![CDATA[anthracinus </span>was the only dipteran species     collected in hypereutrophic Lake Amatitl&aacute;n, Guatemala. For     decades, this highly productive lake has received wastewater, delivered     by its main inflow river, the R&iacute;o Villalobos. This species was     also collected in Cenote Timul, which displayed high <img alt=""      src="/img/revistas/rbt/v61n2/a12f1.jpg"      style="width: 11px; height: 13px;"><sup>13</sup>C<sub>DIC</sub>     values of     +13.6&#8240; (P&eacute;rez <span style="font-style: italic;">et al</span>.     2011a). These&nbsp; results illustrate that     ]]></body>
<body><![CDATA[<span style="font-style: italic;">C. anthracinus </span>can be used as     an indicator of highly productive waters     in the Northern Neotropics. A larger number of species (n=51) inhabit     the lowlands. Fewer species were identified in the highlands (n=15),     suggesting that chironomids are very abundant in low-elevation     neotropical regions, similar to findings in Africa (Eggermont <span      style="font-style: italic;">et al</span>.     2010), where 81 chironomid taxa were collected across an altitude     gradient (489-4 575m.a.s.l.) and in Brazil (de Oliveira Roque &amp;     Trivinho-Strixino 2007), where 191 morphospecies were collected.    ]]></body>
<body><![CDATA[<br>     <br style="font-family: verdana;">     </span></font><font size="2"><span style="font-family: verdana;">Cladocerans     dominated the     microcrustacean communities in the study area. Fifty-one species were     collected in the waterbodies and the greatest number of species     belonged to the family Chydoridae. Many species of Chydoridae have     great value as water-quality indicators because they are highly     sensitive to changes in lake trophic state (de Eyto <span      style="font-style: italic;">et al</span>. 2002).     ]]></body>
<body><![CDATA[Cladocerans and copepods are the two taxonomic groups most studied on     the Yucat&aacute;n Peninsula and in surrounding areas     (El&iacute;as-Guti&eacute;rrez <span style="font-style: italic;">et al</span>.     2008). Mexico has been actively     involved in studying the systematics of Cladocera     (El&iacute;as-Guti&eacute;rrez <span style="font-style: italic;">et al</span>.     2006). Therefore, identification     of collected cladocerans and copepods to species level was possible.     El&iacute;as-Guti&eacute;rrez (2006) reported a total of 162 cladoceran     species for two regions of Mexico (Morelos and southeast Mexico), four     ]]></body>
<body><![CDATA[being endemic species of Southeast Mexico. Some of the cladoceran     species we collected are widely distributed in the Northern Neotropics     and South America. These include <span style="font-style: italic;">Diaphanosoma     brevireme</span>, <span style="font-style: italic;">Pseudosida     ramosa</span>, <span style="font-style: italic;">Macrothrix spinosa</span>,     <span style="font-style: italic;">M. elegans</span>, <span      style="font-style: italic;">Chydorus nitidilus</span>,     <span style="font-style: italic;">Ephemeroporus tridentatus</span>, <span      style="font-style: italic;">Alona ossiani</span>, <span      style="font-style: italic;">Oxyurella ciliata</span> and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">O.     longicaudis</span> (El&iacute;as-Guti&eacute;rrez 2006). One     interesting     finding of our study was the presence of Anthalona brandorffi,     described as Alona brandorffi (Sinev &amp; Hollwedel 2002) in the     waterbodies Crooked Tree Lagoon, Silvituc Lagoon and Loch&eacute;,     because this species was found for the first time in Boa Vista, Brazil,     and its distribution in the Northern Neotropics was unknown.     Cladocerans were not as abundant in highland lakes of Guatemala. Laguna     de Ayarza and Lake Atitl&aacute;n still display oligo-mesotrophic     ]]></body>
<body><![CDATA[conditions. Macrophytes, the typical habitat of cladocerans, are scarce     in these lakes. In contrast, Lake Amatitl&aacute;n is hypereutrophic,     and only a single cladoceran species, <span style="font-style: italic;">Daphnia     mendotae</span>, was collected     in such extreme conditions. Species restricted to the highlands include     <span style="font-style: italic;">D. pulicaria</span> and <span      style="font-style: italic;">S. congener</span>, even though they     apparently have wide     distributions (Cerny &amp; Hebert 1993, Illyov&aacute; &amp;     N&eacute;methov&aacute; 2005, Marrone <span style="font-style: italic;">et     ]]></body>
<body><![CDATA[al</span>. 2005). For instance, D.     pulicaria seems to prefer cool waters, typical of highland Lake     Atitl&aacute;n (&#8804;21.8&deg;C). Occupying cooler, deep waters may be a     strategy to reduce risk of predation (Stich &amp; Maier 2007). Species     restricted to aquatic ecosystems of Guatemala and Belize include:     <span style="font-style: italic;">Dunhevedia odontoplax</span> and <span      style="font-style: italic;">Ceriodaphnia dubia</span>. <span      style="font-style: italic;">Dunhevedia odontoplax</span> has     been collected in Morelos, Veracruz (El&iacute;as-Guti&eacute;rrez     2006). Mainly cladoceran carapaces were collected in &#8220;cenotes&#8221; and     ]]></body>
<body><![CDATA[rivers, but there were few live specimens. Most &#8220;cenotes&#8221; we sampled     lacked aquatic vegetation, the main habitat of most cladoceran species.     Distribution of zooplankton in rivers is very heterogenous     (Vadadi-F&uuml;l&ouml;p 2009) and we might simply have collected     samples from sites where densities were low. Scarcity of cladocerans in     rivers, however, is common because they are not as well adapted to     lotic aquatic environments as ostracodes and chironomid larvae. Another     explanation for the low species richness and numbers could be that     adults of some species are more typical of the rainy season, and we     collected surface sediments in the dry season. Future sampling should     ]]></body>
<body><![CDATA[be conducted across the seasons.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Only six calanoid     copepod species     were collected from the sampled waterbodies. Recent studies in Mexico     (El&iacute;as-Guti&eacute;rrez <span style="font-style: italic;">et al</span>.     2008, Brandorff 2012) report up     to 100 freshwater copepod species, of which 20 species belong to the     order Calanoida. Su&aacute;rez- Morales &amp; Reid (2003) suggest that     ]]></body>
<body><![CDATA[the fauna of the Yucat&aacute;n Peninsula has affinities with Cuba and     the insular Caribbean, and differs from that of Central Mexico, which     is closer to the fauna of upper Central America. <span      style="font-style: italic;">Prionodiaptomus     colombiensis </span>mainly inhabits altitudes from 10 to 100m.a.s.l     and it has     been previously reported in Tabasco, Mexico while <span      style="font-style: italic;">Leptodiaptomus     siciloides </span>is widely distributed in Mexico     (El&iacute;as-Guti&eacute;rrez <span style="font-style: italic;">et al</span>.     ]]></body>
<body><![CDATA[2008). <span style="font-style: italic;">Arctodiaptomus dorsalis</span>     tolerates a broad range of environmental conditions and was collected     in waterbodies with different origins and trophic states. For instance,     it inhabits hypereutrophic volcanic Lake Amatitl&aacute;n in the     highlands, and meso-oligotrophic, karst Lake Pet&eacute;n Itz&aacute;     in the lowlands. According to Su&aacute;rez-Morales (2003), this     nearctic species is the most widespread diaptomid in the Yucat&aacute;n     Peninsula and has also been collected in Southeastern USA, central and     Eastern Mexico, Central America and the Caribbean islands. Dispersal of     this species is relatively recent (post-Pliocene) and it colonized the     ]]></body>
<body><![CDATA[Yucat&aacute;n Peninsula during past marine regressions, during times     of emergence of areas on the peninsula. This could explain why this     species is now highly tolerant and widely distributed.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Of the six copepod     species found,     <span style="font-style: italic;">M. reidae </span>is endemic to     Campeche (El&iacute;as-Guti&eacute;rrez <span      style="font-style: italic;">et al</span>.     ]]></body>
<body><![CDATA[2008, Su&aacute;rez-Morales &amp; El&iacute;as-Guti&eacute;rrez 2000)     and Northern Guatemala (this study). All species belonging to the genus     <span style="font-style: italic;">Mastigodiaptomus </span>found in the     Yucat&aacute;n Peninsula are neotropical.     Su&aacute;rez-Morales (2003) report another endemic species for the     area, <span style="font-style: italic;">Mastigodiaptomus maya</span>.     Unfortunately, we did not collect this     species, but it seems to coexist with <span style="font-style: italic;">M.     reidae</span> in Chican&aacute; pond,     near the Biosphere Reserve of Calakmul, Yucat&aacute;n Peninsula, and     ]]></body>
<body><![CDATA[probably speciated for ecological reasons. Our results indicate that <span      style="font-style: italic;">M.     nesus</span> inhabits waterbodies in Belize, Campeche, Quintana Roo and     Yucat&aacute;n, as reported by El&iacute;as-Guti&eacute;rrez <span      style="font-style: italic;">et al</span>.     (2008). The present distribution of this taxon could be a remnant of     the original <span style="font-style: italic;">Mastigodiaptomus </span>fauna     in the Yucat&aacute;n Peninsula and     may reflect recent, post-Pliocene dispersal and Holocene climatic     fluctuations (Su&aacute;rez-Morales 2003). We identified <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">P. marshi </span>in     aquatic ecosystems in the lowlands of Belize (Lagoons Progreso and     Almond Hill) in the Eastern lowlands of Guatemala (Lake Izabal) and     Southern Yucat&aacute;n (Bacalar). Pseudodiaptomid copepods mainly     inhabit marine and brackish water environments, although recent studies     (Su&aacute;rez-Morales 2003) suggest that <span      style="font-style: italic;">P. marshi</span> is a species that     is starting to colonize freshwater environments. Canonical     Correspondence Analysis indicated that the ions sodium and chloride     affect the distribution of this species. But the fact that we collected     ]]></body>
<body><![CDATA[this copepod species in freshwater Lake Izabal supports the idea that     is starting to colonize freshwater environments. Lake Izabal is     connected with the Caribbean Sea via the R&iacute;o Dulce and El     Golfete. Similar to cladocerans, few copepods were found in rivers,     probably because they are not well adapted to inhabit running waters,     avoiding such environments and preferring the littoral zones of lakes     (Casanova &amp; Henry 2004).</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Effects of altitude     ]]></body>
<body><![CDATA[and related     variables precipitation and trophic state, on ostracode </span></font><font      size="2"><span style="font-family: verdana;">species distribution and     assemblage     composition in the study area are clear. The taxonomy, ecology and     distribution of non-marine ostracodes from the Northern Neotropics     (Mexico, Guatemala and Belize) was investigated by P&eacute;rez <span      style="font-style: italic;">et al</span>.     (2010b, 2010c, 2011b), <span style="font-style: italic;">Darwinula     stevensoni</span> has a worldwide     ]]></body>
<body><![CDATA[distribution and <span style="font-style: italic;">Cytheridella     ilosvayi</span> is abundant throughout the     entire continental Neotropics. <span style="font-style: italic;">Cypridopsis     okeechobei</span> displays a     narrower distribution, extending from the United States to the     Pet&eacute;n Lake District, Northern Guatemala. <span      style="font-style: italic;">Pseudocandona </span>sp. was     also abundant and we suggest this species is endemic to the     Yucat&aacute;n Peninsula, but further taxonomic and molecular analysis     is needed to test this assertion. We were unable to identify some     ]]></body>
<body><![CDATA[ostracodes collected in the highlands to species level. They may be     endemic to the region or be distributed throughout higher-elevation     areas of Central America and Mexico that have not been studied yet.     These species include <span style="font-style: italic;">Candona </span>sp.,     <span style="font-style: italic;">Limnocythere </span>sp. and <span      style="font-style: italic;">Trajancypris     </span>sp. A conductivity gradient is well marked on the Yucat&aacute;n     Peninsula. Ostracodes were mainly typical of freshwaters, but some,     like <span style="font-style: italic;">Cyprideis </span>sp., <span      style="font-style: italic;">Loxoconcha </span>sp., <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Paracytheroma stephensoni</span>,     <span style="font-style: italic;">Perissocytheridea cribosa </span>and     <span style="font-style: italic;">Thalassocypria </span>sp. were     typical of     waterbodies with high conductivities, up to 55.3mS/cm. <span      style="font-style: italic;">Cypretta     brevisaepta</span> had been reported only from Southern Florida and the     West     Indies, but we found it in Lakes Oquevix, Macanch&eacute;, and a pond     near Lake Oquevix in Pet&eacute;n, Guatemala and in San Jos&eacute;     ]]></body>
<body><![CDATA[Aguilar, Mexico. </span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">A broad trophic     state gradient     characterizes the study area, ranging from hypereutrophic Lake     Amatitl&aacute;n to oligotrophic Laguna Ayarza. Hypereutrophic Lake     Amatitl&aacute;n displayed species characteristic of highly productive     waters, including <span style="font-style: italic;">Chironomus     anthracinus</span>, <span style="font-style: italic;">Discostella </span>aff.     <span style="font-style: italic;">pseudostelligera</span>, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Daphnia mendotae</span>, <span      style="font-style: italic;">Candona </span>sp., <span      style="font-style: italic;">Cypridopsis vidua</span> and     <span style="font-style: italic;">Darwinula stevensoni</span>. Our     results demonstrate that few zooplankton and     zoobenthos species inhabit higher elevations (&gt;450m.a.s.l.) in     Guatemala. Cladocerans, copepods and ostracodes were more diverse and     abundant in lowland aquatic ecosystems, suggesting that environmental     conditions in those waterbodies are optimal for zooplankton and     zoobenthos development and reproduction. The Yucat&aacute;n Peninsula     ]]></body>
<body><![CDATA[and surrounding areas (Guatemala and Belize) are rich in aquatic     ecosystems, therefore it will be important to collect samples from     additional sites to expand our training set. Aquatic bioindicators     should also be collected at different seasons to provide information on     species life cycles. Despite the utility of the collected data,     additional sampling campaigns in aquatic ecosystems throughout Mexico,     Guatemala, Belize and Central America are required. We also recommend     return visits to previously studied ecosystems to capture seasonal     variability. Central Mexico is rich in aquatic ecosystems and there     have been few studies on bioindicators in that region. We are     ]]></body>
<body><![CDATA[developing a calibration dataset for central Mexico that will provide     new autecological information for bioindicators that will expand our     original Yucatan training set.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br      style="font-family: verdana; font-weight: bold;">     <font style="font-weight: bold;" size="2"><span      style="font-family: verdana;">Importance of species richness and     diversity of bioindicators in neotropical </span></font><font size="2"><span      style="font-family: verdana;"><span style="font-weight: bold;">aquatic     ]]></body>
<body><![CDATA[ecosystems:</span> Diversity and     species richness data from waterbodies provide information on modern     environmental conditions, e.g., trophic state, anthropogenic impact and     urban development and the degree of degradation. Our findings provide     information for identifying conservation hotspots on the Yucat&aacute;n     Peninsula, Guatemala and Belize. Highest species diversities were     reported at lower elevations (&lt;450m.a.s.l.). The highest number of     species and diversities per waterbody were usually reported for lowland     lakes, where precipitation is high, up to 3 050mm/y. Crooked Tree     Lagoon, Belize displayed the highest diversity (H&#8804;2.4, diatoms). The     ]]></body>
<body><![CDATA[lagoon is protected and recognized as a wetland of international     importance under the Ramsar Convention of Wetlands&nbsp;     (http://www.ramsar.wetlands.org).     Lakes Bacalar and Chichancanab, on     the Yucat&aacute;n Peninsula, were declared protected areas in April     2011 (SIPSE 2011). Most aquatic ecosystems in the study area, however,     lack such environmental protection. Government agencies, universities     and NGOs should collaborate to guarantee that aquatic ecosystems in the     region are protected. Highland lakes, despite their lower diversities,     deserve special attention because they often possess rare or     ]]></body>
<body><![CDATA[unidentified taxa and may be home to new or endemic species.     Chironomids and ostracodes were highly diverse (H&#8804;2.54) in sampled     aquatic ecosystems. Lakes Chacan Lara, Sabanita and Silvituc were small     waterbodies that lacked ostracodes, probably due to low lake water     conductivities (&#8804;183&#956;S/cm). Diatoms, cladocerans and copepods were     scarce or lacking in rivers, &#8220;cenotes&#8221; and coastal waterbodies. Further     sampling campaigns are needed to corroborate these observations and     improve on methods for collection of bioindicators that were present in     low abundances. Rivers deserve special attention because they     frequently receive domestic and industrial waste, affecting species     ]]></body>
<body><![CDATA[distributions and diversity.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">This study on the     waterbodies on     and around the Yucat&aacute;n Peninsula found that microcrustacea,     insect larvae and diatoms in neotropical lakes are abundant, diverse     and highly sensitive to environmental variables. Such organisms     therefore have great potential as modern and late Quaternary     bioindicators. This investigation generated the first training sets for     ]]></body>
<body><![CDATA[chironomids, diatoms, ostracodes, cladocerans and copepods in the     region and is a pre-requisite for future quantitative paleolimnological     reconstruction of late Quaternary environments in the Northern     Neotropics. Our results highlight the exceptional potential of the     studied taxonomic groups as bioindicators of climate and trophic state.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Analysis of the     distribution and     ecological preferences of the five studied groups (diatoms,     ]]></body>
<body><![CDATA[chironomids, cladocerans, copepods and ostracodes) generated new     information that is required to make better use of these aquatic     bioindicators in the neotropical region. Clear differences emerged in     the chemistry and biology of highland versus lowland water bodies.     Volcanic highland lakes display origin and water chemical composition     different from those of karst lowland lakes. Biodiversity in the     highlands is lower than in the lowlands. The highland aquatic fauna is     dominated by chironomids <span style="font-style: italic;">Apsectrotanypus</span>     sp., <span style="font-style: italic;">Cricotopus </span>spp.,     Tanytarsini C, Stenochironomus sp., diatoms Ulnaria acus, cladocerans     ]]></body>
<body><![CDATA[Ceriodaphnia dubia and Bosmina <span style="font-style: italic;">huaronensis</span>,     <span style="font-style: italic;">ostracodes Candona</span> sp.,     <span style="font-style: italic;">Chlamydotheca colombiensis</span>, <span      style="font-style: italic;">Cypridopsis vidua</span>, <span      style="font-style: italic;">Cytheridella ilosvayi</span>,     <span style="font-style: italic;">Darwinula stevensoni</span>, <span      style="font-style: italic;">Limnocythere </span>sp., <span      style="font-style: italic;">Physocypria globula</span>,     <span style="font-style: italic;">Stenocypris major </span>and <span      style="font-style: italic;">Trajancypris </span>sp, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">cladocerans D. pulicaria</span> and <span      style="font-style: italic;">S.     congener</span> and the copepods <span style="font-style: italic;">Leptodiaptomus     siciloides</span> and <span style="font-style: italic;">Prionodiaptomus     colombiensis</span>.</span></font><br style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">This study covered a     wide range of     trophic state, which allowed us to differentiate between species that     are tolerant and intolerant of highly eutrophic waters. Bioindicator     ]]></body>
<body><![CDATA[species inhabiting highly productive waters and tolerating extreme     conditions include <span style="font-style: italic;">Chironomus     anthracinus</span>, <span style="font-style: italic;">Cyclotella     meneghiniana</span>,     <span style="font-style: italic;">Discostella </span>aff. <span      style="font-style: italic;">pseudostelligera</span>, <span      style="font-style: italic;">Daphnia mendotae</span>, <span      style="font-style: italic;">Arctodiaptomus     dorsalis</span>, <span style="font-style: italic;">Candona </span>sp.,     <span style="font-style: italic;">Cypridopsis vidua</span> and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Darwinula stevensoni</span>. A     broad conductivity gradient also characterizes the Yucat&aacute;n     Peninsula and surrounding areas. Most collected species inhabit     freshwaters, but a few tolerate high conductivities, making them     potential indicators of such conditions. They include diatoms such as     <span style="font-style: italic;">Halamphora coffeaeformis</span>, <span      style="font-style: italic;">Campylostylus normannianus</span>, <span      style="font-style: italic;">Nitzschia     frustulum</span>, <span style="font-style: italic;">Navicula palestinae</span>,     <span style="font-style: italic;">Tabularia fasciculata</span>, <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Navicula     salinarum</span>, <span style="font-style: italic;">Amphora securicula</span>,     and <span style="font-style: italic;">Cocconeis placentula</span>, <span      style="font-style: italic;">cladocerans     Simocephalus mixtus </span>and <span style="font-style: italic;">Karualona     muelleri</span>, the copepod species <span style="font-style: italic;">P.     marshi</span>, as well as ostracodes <span style="font-style: italic;">Cyprideis     </span>sp., <span style="font-style: italic;">Perissocytheridea </span></span></font><font      size="2"><span style="font-family: verdana;"><span      style="font-style: italic;">cribosa </span>and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Thalassocypria</span> sp. Good     indicators of alkaline waters are <span style="font-style: italic;">Paratanytarsus     </span>sp.1, <span style="font-style: italic;">Djalmabatista     </span>sp., <span style="font-style: italic;">Endotribelos </span>sp.,     and <span style="font-style: italic;">Mastigodiaptomus nesus</span>,     whereas waters with     HCO<sub>3</sub>&lt;275mg/L were dominated by <span      style="font-style: italic;">Stempellina </span>sp., <span      style="font-style: italic;">Tanytarsini </span>J, K,     <span style="font-style: italic;">Apedilum </span>sp and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Arctodiaptomus dorsalis</span>. </span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Transfer functions     that express     quantitative relations between bioindicator species and environmental     variables will ultimately be developed using results from this study.     These transfer functions will be used to make quantitative     paleoenvironmental inferences, by applying them to fossil assemblages     in sediment cores retrieved from lakes in the region. Despite the     ]]></body>
<body><![CDATA[utility of the collected data, additional sampling campaigns in aquatic     ecosystems throughout Mexico, Guatemala, Belize and other parts of     Central America are required. We also recommend return visits to     previously studied ecosystems to capture seasonal variability.</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">Acknowledgments</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">We are grateful to     ]]></body>
<body><![CDATA[the agencies and     people who helped us with field and laboratory work, including the     University of Belize, Forestry and Fisheries Departments (Belize),     Universidad del Valle de Guatemala, CONAP, AMSCLAE, AMPI, FINABECE,     Trifinio (Guatemala), SRE, CONAPESCA, ECOSUR-Chetumal (Mexico),     Institut f&uuml;r Geosysteme und Bioindikation (Germany),     TU-Braunschweig (Germany), Dietmar Keyser, Dustin Grzesik, Jason     Curtis, David Klassen, Jos&eacute; Harders, Carmen Herold, Bessie     Oliva, Roberto Moreno, Eleonor de Tott, Margaret Dix, Margarita     Palmieri, Alma Quilo, Gabriela Alfaro, Jacobo Blijdenstein, Melisa     ]]></body>
<body><![CDATA[Orozco, Silja Ramirez, Wolfgang Riss, Evgenia Vinogradova, Luis     Toru&ntilde;o, Mario Cruz, Rita Bugja, Luciana Mitsue, Susanne Krueger,     Javier P&eacute;rez y P&eacute;rez, and Carolina Alvarado de     P&eacute;rez. Special thanks to anonymous reviewers for detailed     suggestions and comments. We </span></font><font size="2"><span      style="font-family: verdana;">are grateful for financial support     provided by the Deutsche Forschungsgemeinschaft (DFG, grant Schw 671/3)     and start-up money to A.S. provided by the TU Braunschweig.</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<hr style="width: 100%; height: 2px;"><br style="font-family: verdana;">     <font size="3"><span style="font-family: verdana; font-weight: bold;">References</span></font><br      style="font-family: verdana;">     <font size="2"></font><br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Armitage, P.D., P.S.     Cranston &amp;     L.C.V. Pinder. 1995. The Chironomidae: biology and ecology of nonbiting     <!-- ref -->midges. 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<body><![CDATA[<br> <a name="Correspondencia1"></a><a href="#Correspondencia2">*</a>Correspondencia:    <br> </span></font><font size="2"><span style="font-family: verdana;">Liseth P&eacute;rez: </span></font><font size="2"><span  style="font-family: verdana;">Institut f&uuml;r Geosysteme und Bioindikation, Technische Universit&auml;t Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany/</span></font><font size="2"><span  style="font-family: verdana;"> Instituto de Geolog&iacute;a, Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM), Ciudad Universitaria, 04510, Distrito Federal, M&eacute;xico. </span></font><font  size="2"><span style="font-family: verdana;">l.perez@tu-bs.de; </span></font><font  size="2"><span style="font-family: verdana;">lcpereza@geologia.unam.mx</span></font>    <br> <font size="2"><span style="font-family: verdana;">Julia Lorenschat: </span></font><font size="2"><span  style="font-family: verdana;">Institut f&uuml;r Geosysteme und Bioindikation, Technische Universit&auml;t Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany. </span></font><font size="2"><span  style="font-family: verdana;">j.lorenschat@tu-bs.de</span></font>    <br> <font size="2"><span style="font-family: verdana;">Julieta Massaferro: </span></font><font  size="2"><span style="font-family: verdana;">CENAC-APN, CONICET, San Martin 24, 8400, Bariloche, Argentina; julimassaferro@hotmail.com</span></font>    <br> <font size="2"><span style="font-family: verdana;">Christine Pailles: </span></font><font  size="2"><span style="font-family: verdana;">CEREGE, Universit&eacute; Aix-Marseille, CNRS, IRD, Europ&ocirc;le m&eacute;diterran&eacute;en de l&#8217;Arbois, BP 80, 13545 Aix-en-Provence cedex 4, France. </span></font><font  size="2"><span style="font-family: verdana;"> pailles@cerege.fr</span></font>    <br> <font size="2"><span style="font-family: verdana;">Florence Sylvestre: </span></font><font size="2"><span  style="font-family: verdana;">CEREGE, Universit&eacute; Aix-Marseille, CNRS, IRD, Europ&ocirc;le m&eacute;diterran&eacute;en de l&#8217;Arbois, BP 80, 13545 Aix-en-Provence cedex 4, France. </span></font><font  size="2"><span style="font-family: verdana;">sylvestre@cerege.fr</span></font>    <br> <font size="2"><span style="font-family: verdana;">Werner Hollwedel: </span></font><font  size="2"><span style="font-family: verdana;">Oldenburger Strasse 16A, 26316, Varel, Germany. whollwedel@freenet.de</span></font>    <br> <font size="2"><span style="font-family: verdana;">Gerd-Oltmann Brandorff: </span></font><font size="2"><span  style="font-family: verdana;">Georg-Gr&ouml;ning-Str. 29A, 28209, Bremen, Germany. gobrandorf@aol.com</span></font>    <br> <font size="2"><span style="font-family: verdana;">Mark Brenner: </span></font><font  size="2"><span style="font-family: verdana;">Department of Geological Sciences &amp; Land Use and Environmental Change Institute, University of Florida, Gainesville, 32611, Florida, USA. brenner@ufl.edu</span></font>    <br> <font size="2"><span style="font-family: verdana;">Gerald Islebe: </span></font><font  size="2"><span style="font-family: verdana;">Herbario, El Colegio de la Frontera Sur (ECOSUR), Unidad Chetumal, Av. del Centenario 424, 77000, Chetumal, Quintana Roo, M&eacute;xico; gislebe@ecosur.mx</span></font>    ]]></body>
<body><![CDATA[<br> <font size="2"><span style="font-family: verdana;">Mar&iacute;a del Socorro Lozano: </span></font><font size="2"><span  style="font-family: verdana;">Instituto de Geolog&iacute;a, Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM), Ciudad Universitaria, 04510, Distrito Federal, M&eacute;xico. </span></font><font  size="2"><span style="font-family: verdana;">mslozano@unam.mx</span></font>    <br> <font size="2"><span style="font-family: verdana;">Burkhard Scharf: </span></font><font  size="2"><span style="font-family: verdana;">Institut f&uuml;r Geosysteme und Bioindikation, Technische Universit&auml;t Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany. </span></font><font size="2"><span  style="font-family: verdana;">burkhard.w.scharf@t-online.de</span></font>    <br> <font size="2"><span style="font-family: verdana;">Antje Schwalb: </span></font><font  size="2"><span style="font-family: verdana;"> Institut f&uuml;r Geosysteme und Bioindikation, Technische Universit&auml;t Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany. </span></font><font size="2"><span  style="font-family: verdana;">antje.schwalb@tu-bs.de</span></font><br  style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"></span></font><font  size="2"><span style="font-family: verdana;"></span></font><font  size="2"><span style="font-family: verdana;"><a name="1"></a><a  href="#9">1</a>. Institut f&uuml;r Geosysteme und Bioindikation, Technische Universit&auml;t Braunschweig, Langer Kamp 19c, 38106 Braunschweig, Germany; l.perez@tu-bs.de, j.lorenschat@tu-bs.de, burkhard.w.scharf@t-online.de, antje.schwalb@tu-bs.de</span></font><br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="2"></a><a  href="#10">2</a>. Instituto de Geolog&iacute;a, Universidad Nacional Aut&oacute;noma de M&eacute;xico (UNAM), Ciudad Universitaria, 04510, Distrito Federal, M&eacute;xico; lcpereza@geologia.unam.mx, mslozano@unam.mx</span></font><br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="3"></a><a  href="#11">3</a>. CENAC-APN, CONICET, San Martin 24, 8400, Bariloche, Argentina; julimassaferro@hotmail.com</span></font><br  style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="4"></a><a  href="#12">4</a>. CEREGE, Universit&eacute; Aix-Marseille, CNRS, IRD, Europ&ocirc;le m&eacute;diterran&eacute;en de l&#8217;Arbois, BP 80, 13545 Aix-en-Provence cedex 4, France; pailles@cerege.fr, sylvestre@cerege.fr</span></font><br  style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="5"></a><a  href="#13">5</a>. Oldenburger Strasse 16A, 26316, Varel, Germany; whollwedel@freenet.de</span></font><br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="6"></a><a  href="#14">6</a>. Georg-Gr&ouml;ning-Str. 29A, 28209, Bremen, Germany; gobrandorf@aol.com</span></font><br  style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="7"></a><a  href="#15">7</a>. Department of Geological Sciences &amp; Land Use and Environmental Change Institute, University of Florida, Gainesville, 32611, Florida, USA; brenner@ufl.edu</span></font><br  style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><a name="8"></a><a  href="#16">8</a>. Herbario, El Colegio de la Frontera Sur (ECOSUR), Unidad Chetumal, Av. del Centenario 424, 77000, Chetumal, Quintana Roo, M&eacute;xico; gislebe@ecosur.mx</span></font> <hr style="width: 100%; height: 2px;">     <div style="text-align: center;"><font style="font-weight: bold;"  size="2"><span style="font-family: verdana;">Received 29-V-2012. Corrected 02-IX-2012. Accepted 04-X-2012.</span></font><br  style="font-family: verdana;"> </div> </div>      ]]></body><back>
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