<?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>S0034-77442013000500021</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Seasonal dynamics of phytoplankton in two tropical rivers of varying size and human impact in Southeast Nigeria]]></article-title>
<article-title xml:lang="es"><![CDATA[Dinamica de temporada del fitoplankton en dos rios tropicales de tamaño e impacto humano variado en el sureste de Nigeria]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Idumah Okogwu]]></surname>
<given-names><![CDATA[Okechukwu]]></given-names>
</name>
<xref ref-type="aff" rid="A01"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ugwumba]]></surname>
<given-names><![CDATA[Alex O]]></given-names>
</name>
<xref ref-type="aff" rid="A02"/>
</contrib>
</contrib-group>
<aff id="A01">
<institution><![CDATA[,Ebony State University  ]]></institution>
<addr-line><![CDATA[Abakaliki Ebonyi State]]></addr-line>
<country>Nigeria</country>
</aff>
<aff id="A02">
<institution><![CDATA[,University of Ibadan  ]]></institution>
<addr-line><![CDATA[Ibadan Oyo State]]></addr-line>
<country>Nigeria</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2013</year>
</pub-date>
<volume>61</volume>
<numero>4</numero>
<fpage>1827</fpage>
<lpage>1840</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_arttext&amp;pid=S0034-77442013000500021&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_abstract&amp;pid=S0034-77442013000500021&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.sa.cr/scielo.php?script=sci_pdf&amp;pid=S0034-77442013000500021&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Phytoplankton occurrence and dynamics in rivers are mainly shaped by hydrophysical conditions and nutrient availability. Phytoplankton main structuring factors have been poorly studied in West African rivers, and this study was undertaken to identify these conditions in two tropical rivers that vary in size and human impact. For this, environmental variables and phytoplankton monthly samples were collected from the middle reaches of Asu and Cross rivers during an 18 months survey from March 2005-July 2006. Phytoplankton biomass (F=11.87, p=0.003), Shannon-Weiner diversity and species richness (F=5.93, p=0.003) showed significant seasonality in Asu but not in Cross River. Data was analyzed with Canonical correspondence analysis (CCA) and showed environmental differences between the two rivers, nitrate in Asu River (5.1-15.5mg/L) was significantly higher than Cross River (0.03-1.7mg/L), while PO4 (0.2-0.9mg/L) was significantly lower in Asu River compared to Cross River (0.03-2.6mg/L) (p<0.05). Eutrophic factors (NO3) determined primarily phytoplankton dynamics in Asu River, especially during the dry season, whereas hydrophysical factors (depth, transparency and temperature) shaped phytoplankton in Cross River. Taxa indicative of an eutrophic condition, such as Euglena, Chlorella, Chlorococcus, Ceratium, Peridinium, Anabaena, Aphanizomenon, Closterium, Scenedesmus and Pediastrum spp., were frequently encountered in the shallow impounded Asu River, while riverine species, such as Frustulia rhomboids, Gyrosigma sp., Opephora martyr and Surirella splendida dominated Cross River. A succession pattern was observed in the functional groups identified: Na/MP&#8594;TB&#8594;P (rainy&#8594;dry season) was observed in Asu River, whereas MP/D predominated in Cross River for both seasons. We concluded that, if nutrients predominate hydrophysical factors in shaping phytoplankton during dry season (half of the year) then, they are as important as hydrophysical factors structuring phytoplankton during rainy season (the other half).]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[La existencia del fitoplancton y la dinámica de los ríos están principalmente determinados por condiciones hidrofísica y disponibilidad de nutrientes. Los principales factores de estructuración del fitoplancton han sido poco estudiados en los ríos de Africa Occidental, y este estudio fue realizado para identificar estas condiciones en dos ríos tropicales que varían en tamaño e impacto humano. Para ello, variables ambientales y muestras ambientales mensuales de fitoplancton se obtuvieron de la parte media de los ríos Asu y Cross durante un estudio de 18 meses, de Marzo-2005 a Julio-2006. La biomasa del fitoplancton (F=11.87, p=0.003), el índice de diversidad de Shannon-Weiner y la riqueza de especies (F=5.93, p=0.003), mostraron estacionalidad significativa en Asu pero no el río Cross. Los datos fueron analizados con el análisis de correspondencia canónica (CCA) y mostró diferencias ambientales entre los dos ríos, el nitrato en el río Asu (5.1-15.5mg/L) fue significativamente mayor que en el río Cross (0.03-1.7mg/L), mientras que PO4 (0.2-0.9mg/L) fue significativamente menor en el río Asu en comparación al río Cross (0.03-2.6mg/L) (p<0.05). Los factores eutróficos (NO3) determinaron principalmente la dinámica del fitplancton en el río Asu, especialmente durante la estación seca, mientras que los factores hidrofísicos (profunidad, transparencia y temperatura) conformaron el fitoplancton en el río Cross. Taxones indicadores de una condición eutrófica, como Euglena, Chlorella, Chlorococcus, Ceratium, Peridinium, Anabaena, Aphanizomenon, Closterium, Scenedesmus y Pediastrum spp fueron frecuentemente encontradas en las aguas poco profundas del río Asu, mientras que las especies fluviales, como Frustulia rhomboids, Gyrosigma sp., Opephora martyr y Surirella splendida dominaron el río Cross. Un patrón de sucesión se observó en los grupos funcionales, identificados: Na/MP&#8594;TB&#8594;P (Estacion lluviosa &#8594; estación seca), fue observado en el río Asu, mientras que MP/D predominó en el río Cross para ambas estaciones. Se concluyó que, si los nutrientes predominan los factores hidrofísicos en la conformación del fitoplancton durante la estación seca (la mitad del año), entonces, son tan importantes como los factores hidrofísicos estructurales del fitoplancton durante la temporada de lluvias (la otra mitad).]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[West Africa]]></kwd>
<kwd lng="en"><![CDATA[phytoplankton]]></kwd>
<kwd lng="en"><![CDATA[eutrophication]]></kwd>
<kwd lng="en"><![CDATA[functional group]]></kwd>
<kwd lng="en"><![CDATA[Cross River]]></kwd>
<kwd lng="en"><![CDATA[Asu River]]></kwd>
<kwd lng="es"><![CDATA[África occidental]]></kwd>
<kwd lng="es"><![CDATA[fitoplancton]]></kwd>
<kwd lng="es"><![CDATA[eutrofización]]></kwd>
<kwd lng="es"><![CDATA[grupo funcional]]></kwd>
<kwd lng="es"><![CDATA[río Cross]]></kwd>
<kwd lng="es"><![CDATA[río Asu]]></kwd>
</kwd-group>
</article-meta>
</front><body><![CDATA[ <div style="text-align: justify;">     <div style="text-align: center;"><font style="font-weight: bold;"  size="4"><span style="font-family: verdana;">Seasonal dynamics of phytoplankton in two tropical rivers&nbsp; of varying size and human impact in Southeast Nigeria    <br>     <br> </span></font><font style="font-weight: bold;" size="4"><span  style="font-family: verdana;">Dinamica de temporada del fitoplankton en dos rios tropicales de tama&ntilde;o e impacto humano variado en el sureste de Nigeria</span></font><font size="2"><span  style="font-family: verdana;"><span style="font-weight: bold;"></span></span></font></div> <br style="font-family: verdana;">     <div style="text-align: center;"><font size="2"><span  style="font-family: verdana;">Okechukwu Idumah Okogwu<sup><a href="#1">1</a><a name="3"></a>*</sup> &amp; Alex O. Ugwumba<sup><a href="#2">2</a><a name="4"></a>*</sup></span></font><br  style="font-family: verdana;"> </div> <font size="2"><span style="font-family: verdana;">    <br> <a name="Correspondencia2"></a>*<a href="#Correspondencia1">Direcci&oacute;n para correspodencia:</a><br style="font-family: verdana;"> </span></font> <hr style="width: 100%; height: 2px;"><font style="font-weight: bold;"  size="3"><span style="font-family: verdana;">Abstract</span></font><br  style="font-family: verdana;"> <br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><span  style="font-weight: bold;"></span>Phytoplankton occurrence and dynamics in rivers are mainly shaped by hydrophysical conditions and nutrient availability. Phytoplankton main structuring factors have been poorly studied in West African rivers, and this study was undertaken to identify these conditions in two tropical rivers that vary in size and human impact. For this, environmental variables and phytoplankton monthly samples were collected from the middle reaches of Asu and Cross rivers during an 18 months survey from March 2005-July 2006. Phytoplankton biomass (F=11.87, p=0.003), Shannon-Weiner diversity and species richness (F=5.93, p=0.003) showed significant seasonality in Asu but not in Cross River. Data was analyzed with Canonical correspondence analysis (CCA) and showed environmental differences between the two rivers, nitrate in Asu River (5.1-15.5mg/L) was significantly higher than Cross River (0.03-1.7mg/L), while PO<sub>4</sub> (0.2-0.9mg/L) was significantly lower in Asu River compared to Cross River (0.03-2.6mg/L) (p&lt;0.05). Eutrophic factors (NO<sub>3</sub>) determined primarily phytoplankton dynamics in Asu River, especially during the dry season, whereas hydrophysical factors (depth, transparency and temperature) shaped phytoplankton in Cross River. Taxa indicative of an eutrophic condition, such as <span style="font-style: italic;">Euglena, Chlorella, Chlorococcus, Ceratium, Peridinium, Anabaena, Aphanizomenon, Closterium, Scenedesmus</span> and <span style="font-style: italic;">Pediastrum </span>spp., were frequently encountered in the shallow impounded Asu River, while riverine species, such as <span  style="font-style: italic;">Frustulia rhomboids, Gyrosigma</span> sp., <span style="font-style: italic;">Opephora martyr</span> and <span style="font-style: italic;">Surirella splendida</span> dominated Cross River. A succession pattern was observed in the functional groups identified: Na/MP&#8594;TB&#8594;P (rainy&#8594;dry season) was observed in Asu River, whereas MP/D predominated in Cross River for both seasons. We concluded that, if nutrients predominate hydrophysical factors in shaping phytoplankton during dry season (half of the year) then, they are as important as hydrophysical factors structuring phytoplankton during rainy season (the other half). </span></font><br  style="font-family: verdana;"> <br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><span  style="font-weight: bold;">Key words:</span> West Africa, phytoplankton, eutrophication, functional group, Cross River, Asu River.</span></font><br  style="font-family: verdana;"> <br style="font-family: verdana;"> <font style="font-weight: bold;" size="3"><span  style="font-family: verdana;">Resumen</span></font><br  style="font-family: verdana;"> <br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;">La existencia del fitoplancton y la din&aacute;mica de los r&iacute;os est&aacute;n principalmente determinados por condiciones hidrof&iacute;sica y disponibilidad de nutrientes. Los principales factores de estructuraci&oacute;n del fitoplancton han sido poco estudiados en los r&iacute;os de Africa Occidental, y este estudio fue realizado para identificar estas condiciones en dos r&iacute;os tropicales que var&iacute;an en tama&ntilde;o e impacto humano. Para ello, variables ambientales y muestras ambientales mensuales de fitoplancton se obtuvieron de la parte media de los r&iacute;os Asu y Cross durante un estudio de 18 meses, de Marzo-2005 a Julio-2006. La biomasa del fitoplancton (F=11.87, p=0.003), el &iacute;ndice de diversidad de Shannon-Weiner y la riqueza de especies (F=5.93, p=0.003), mostraron estacionalidad significativa en Asu pero no el r&iacute;o Cross. Los datos fueron analizados con el an&aacute;lisis de correspondencia can&oacute;nica (CCA) y mostr&oacute; diferencias ambientales entre los dos r&iacute;os, el nitrato en el r&iacute;o Asu (5.1-15.5mg/L) fue significativamente mayor que en el r&iacute;o Cross (0.03-1.7mg/L), mientras que PO<sub>4</sub> (0.2-0.9mg/L) fue significativamente menor en el r&iacute;o Asu en comparaci&oacute;n al r&iacute;o Cross (0.03-2.6mg/L) (p&lt;0.05). Los factores eutr&oacute;ficos (NO<sub>3</sub>) determinaron principalmente la din&aacute;mica del fitplancton en el r&iacute;o Asu, especialmente durante la estaci&oacute;n seca, mientras que los factores hidrof&iacute;sicos (profunidad, transparencia y temperatura) conformaron el fitoplancton en el r&iacute;o Cross. Taxones indicadores de una condici&oacute;n eutr&oacute;fica, como <span  style="font-style: italic;">Euglena, Chlorella, Chlorococcus, Ceratium, Peridinium, Anabaena, Aphanizomenon, Closterium, Scenedesmus</span> y <span style="font-style: italic;">Pediastrum</span> spp fueron frecuentemente encontradas en las aguas poco profundas del r&iacute;o Asu, mientras que las especies fluviales, como <span style="font-style: italic;">Frustulia rhomboids, Gyrosigma </span>sp., <span style="font-style: italic;">Opephora martyr</span> y <span  style="font-style: italic;">Surirella splendida </span>dominaron el r&iacute;o Cross. Un patr&oacute;n de sucesi&oacute;n se observ&oacute; en los grupos funcionales, identificados: Na/MP&#8594;TB&#8594;P (Estacion lluviosa &#8594; estaci&oacute;n seca), fue observado en el r&iacute;o Asu, mientras que MP/D predomin&oacute; en el r&iacute;o Cross para ambas estaciones. Se concluy&oacute; que, si los nutrientes predominan los factores hidrof&iacute;sicos en la conformaci&oacute;n del fitoplancton durante la estaci&oacute;n seca (la mitad del a&ntilde;o), entonces, son tan importantes como los factores hidrof&iacute;sicos estructurales del fitoplancton durante la temporada de lluvias (la otra mitad).</span></font><br  style="font-family: verdana;"> <br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;"><span  style="font-weight: bold;">Palabras clave:</span> &Aacute;frica occidental, fitoplancton, eutrofizaci&oacute;n, grupo funcional, r&iacute;o Cross, r&iacute;o Asu.    <br>     <br style="font-family: verdana;">     </span></font>     <hr style="width: 100%; height: 2px;"><font size="2"><span     ]]></body>
<body><![CDATA[ style="font-family: verdana;">West Africa is located in the     tropical region with well defined dry and rainy seasons. Therefore     limnological features of rivers are extremely variable between seasons     and between small and large rivers, where the factors regulating     phytoplankton species composition, size and dynamics show similar     variability (Salmaso &amp; Braioni, 2008). High water velocities and     turbidity during rainy season limit the phytoplankton chances to     transform light and nutrients into algal biomass (S&oslash;balle &amp;     Kimmel, 1987; Lewis, 1988; Reynolds &amp; Glaister, 1993).     Nevertheless, during the dry season, when water velocity attenuates,     ]]></body>
<body><![CDATA[nutrient concentrations increase and water clarity improves, algal     biomass could be elevated due to increased efficient utilization of     nutrients (Bukaveckas <span style="font-style: italic;">et al</span>.,     2011). The interaction between regulatory     physical, chemical and biological factors to structure phytoplankton is     modified by anthropogenic alterations of rivers such as dam     constructions and re-channelization (Soares, Huszar &amp; Roland,     2007). This trend seemingly encourages high development in river middle     reaches, due to reduced flux and increased innocula from riparian     shallow floodplain lakes and/or back waters (K&ouml;hler, 1994;     ]]></body>
<body><![CDATA[Reynolds &amp; Descy, 1996).</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Worldwide,     phytoplankton are less     studied in rivers compared to lakes and reservoirs (Soares <span      style="font-style: italic;">et al</span>.,     2007), especially in West Africa where there is sparse studies.     Available information (Holden &amp; Green, 1960; Egborge, 1973;     Nwadiaro &amp; Ezefill, 1986; Chindah &amp; Pudo, 1991; Chindah &amp;     ]]></body>
<body><![CDATA[Braide, 2004) is often a floristic documentation of encountered     species. </span></font><br style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Studies have shown     that unlike in     lakes and reservoirs where zooplankton grazing and nutrients are the     dominant limiting factors, phytoplankton in lotic environments are     directly regulated by hydrophysical factors (Billen, Garnier &amp;     Hanset, 1994; Sabater <span style="font-style: italic;">et al</span>.,     2008; Perbiche-Neves,     ]]></body>
<body><![CDATA[Serafim-J&uacute;nior, Shirata &amp; Lagos, 2011). The dominant     regulatory factors generally reported are discharge, wind, transparency     and water temperature (Reynolds, 2006; Salmaso &amp; Braioni, 2008).     This delimits true planktonic species to the few that are capable of     rapid reproduction/growth and can survive turbulence and light     fluctuations (R-strategist), mainly diatoms and chlorophytes (Reynolds     <span style="font-style: italic;">et al</span>., 1994; K&ouml;hler,     1994; Soares <span style="font-style: italic;">et al</span>., 2007).     Nutrients are     considered to play only subordinate role in determining algal biomass     ]]></body>
<body><![CDATA[compared to hydrophysical factors (Biggs &amp; Smith, 2002; Mitrovic,     Chessman, Davie, Avery &amp; Ryan, 2008). However, some studies have     shown a direct relationship between chlorophyll-a and indicators of     eutrophication (Basu &amp; Pick, 1996; Van Nieuwenhuyse &amp; Jones,     1996; Dodds; 2006). The response of rivers to eutrophication differs     remarkably from that of a lake due to physical factors, namely     turbidity effects on light availability and short water residence times     (S&oslash;balle &amp; Kimmel, 1987; Sellers &amp; Bukaveckas, 2003;     Koch, Guelda &amp; Bukaveckas, 2004; Kennedy &amp; Whalen, 2008). These     factors constrain phytoplankton production by reducing the efficiency     ]]></body>
<body><![CDATA[with which light and nutrients are converted to biomass. Phytoplankton     successions in rivers are presumably driven by allogenic factors such     as temperature, light regime, discharge rate and turbidity (Reynolds,     1984; Rossetti, Viaroli &amp; Ferrari, 2009). However, del Giorgio,     Vinocur, Lombardo &amp; Tell (1991) suggested that phytoplankton     succession in rivers become increasingly autogenic with increasing     eutrophication.</span></font><br style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Most rivers around     the world are     ]]></body>
<body><![CDATA[progressively more eutrophic from point and non-point pollution     sources, thus, prompting numerous studies to evaluate their response to     eutrophication. West African rivers are no exceptions and many are     eutrophic due to urbanization, agricultural and industrial activities     and improper disposal of domestic organic wastes (Mathooko, 2001).     Deteriorating water quality could lead to proliferation and increased     biomass of toxin producing Cyanobacteria, especially in regions of     reduced flow (Padis&aacute;k, 1997), however, the response of rivers to     eutrophication are less understood compared to lakes and reservoirs and     more studies from different geographical/climatic regions are required     ]]></body>
<body><![CDATA[for a proper understanding of&nbsp; the response pattern. </span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">In this study, we     applied both     taxonomical and functional group approaches to evaluate (i) species     composition, biomass, diversity and seasonal dynamic of the     phytoplankton community, and (ii) their dependence on hydrophysical     factors and nutrient concentrations in order to identify the main     structuring forces in two rivers differing in size and nutrient level.     ]]></body>
<body><![CDATA[More specifically, we hypothesize that eutrophic factors (NO<sub>3</sub>     and PO<sub>4</sub>)     become increasingly important forcing factors to phytoplankton in     shallow compared to large rivers.</span></font><br      style="font-family: verdana;">     <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;">     <br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Study area:</span> The Cross and Asu     rivers are located in the South-Eastern part of Nigeria. Cross River     system lies approximately between longitude 3&deg;30&#8217; E and 10&deg;00&#8217;     E and latitude 4&deg;N and 8&deg;N. The river basin covers an area of     54&#8201;000km<sup>2</sup> with 14&#8201;000km<sup>2</sup> in the Cameroon and     39&#8201;500km2 in Southern     Nigeria. Mean annual discharge at Obubra is 995m<sup>3</sup>/s with     minimum and     maximum values of 80m<sup>3</sup>/s (February) and 3 300m<sup>3</sup>/s     ]]></body>
<body><![CDATA[(September),     respectively (Moses, 1987). The middle reaches of Cross River are     dotted with several floodplain lakes, which are absent from Asu. Asu     River though a major tributary of the Cross River, has received little     limnological attention. Both rivers drain several farmlands and receive     run-offs from Abakaliki, Afikpo, Unwana and Ozziza municipalities. Asu     River is further impacted by the dam constructed to supply water to     Abakaliki town. The rivers are located within the tropical climatic     zone with dry season (November-April) and rainy season (May-October).     Maximum precipitation (about 70% of the total) occurs between June and     ]]></body>
<body><![CDATA[October.</span></font><br style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;"><span      style="font-weight: bold;">Sample collection:</span> Samples were     collected from four sites within the middle reaches of the Cross River,     Itigidi (CR1), Ozizza (CR2), Ndibe (CR3) and Unwana (CR4) (<a      href="/img/revistas/rbt/v61n4/a21i1.jpg">Fig 1</a>). Two     sites were sampled from Asu River, AR1 (middle reaches of the river)     and AR2 (reservoir). Surface water samples were collected using     modified Von Dorn water sampler in a monthly basis between March 2005     ]]></body>
<body><![CDATA[and August 2006; these samples were analyzed for environmental     variables and plankton. Water transparency was determined using Secchi     disc and water depth was read from permanent calibrated poles mounted     in the sites. Temperature, dissolved oxygen (DO), pH, total dissolved     solids (TDS) and conductivity were determined in situ using Hanna     digital thermometer, DO meter (model HI 9142), pH meter (model HI     98108), TDS meter and conductivity meter (model HI 98303),     respectively. Phosphate (PO<sub>4</sub>) and nitrate (NO<sub>3</sub>)     were determined in the     laboratory according to the methods of APHA (1992) using atomic     ]]></body>
<body><![CDATA[adsorption spectrophotometer (AAS). Rainfall data were kindly provided     by Nigerian Meteorological Services, Calabar Airport, Cross River     State, Nigeria.    <br> </span></font>    <br>     <font size="2"><span style="font-family: verdana;">Phytoplankton     samples were     collected concurrently with environmental data from the different     sites, fixed separately in 5% buffered formalin and then taken to the     laboratory for identification. Phytoplankton identification to species     ]]></body>
<body><![CDATA[was achieved using an Olympus microscope (Model BHTU BH-2).     Quantitative assessment of phytoplankton abundance was done by counting     individuals of each species settled in Uterm&ouml;hl chambers and     presented as the number of individuals per litre (ind./L). Algal     biovolume was estimated by measuring individual cells and the volumes     calculated according to geometrical solids (Rott, 1981). Phytoplankton     biovolume (mm<sup>3</sup>/L) was then obtained by multiplication of     density of     each species by the average volume of its cells (Hillebrand,     D&uuml;rselen, Kirschtel &amp; Pollingher, 1999). Specific biomass was     ]]></body>
<body><![CDATA[expressed in mg (fresh weight)/L, assuming a specific density of     phytoplankton cells of 1g/cm<sup>3</sup>. Species contributing &#8805;5% to     total     biomass (Padis&aacute;k <span style="font-style: italic;">et al</span>.,     2003) were sorted into functional     groups using the guide of Reynolds <span style="font-style: italic;">et     al</span>. (2002) and Padis&aacute;k,     Crossetti &amp; Naselli-Flores (2009). Species richness (SR) was     estimated as the number of taxa in a sample and diversity (H&#8217;) was     calculated using Shannon-Weiner index (Shannon &amp; Weaver, 1963). </span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Seasonal and spatial     difference in     environmental and phytoplankton data were tested using a 2-way analysis     of variance (ANOVA) and Duncan multiply range test used for <span      style="font-style: italic;">post hoc</span>     analysis. The relationship between environmental data and the biomass     of phytoplankton functional groups was analyzed through canonical     correspondence analysis (CCA; Ter Braak, 1986). The null hypothesis of     ]]></body>
<body><![CDATA[&#8220;no structure in main matrix and therefore no relationship among     matrices (biotic and abiotic)&#8221; was tested through Monte Carlo     procedures. ANOVA and CCA were performed with SPSS statistical package,     version 15 and PC-ORD version 5, respectively. &nbsp;</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font style="font-weight: bold;" size="3"><span      style="font-family: verdana;">Results</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<font size="2"><span style="font-family: verdana;">Temperature varied     significantly     between seasons (p&lt;0.05) from 25.1-31.1&deg;C during the rainy     season to 26.7-34.5&deg;C during the dry season. Transparency and water     depth varied significantly between seasons in both rivers and between     sites in Cross River only. The highest depth (26.7 m) was recorded for     site 2 (Cross River) in July 2006. The mean monthly variations in     rainfall and depth are shown in <a      href="/img/revistas/rbt/v61n4/a21i2.jpg">Fig. 2</a>. Dissolved oxygen     varied     ]]></body>
<body><![CDATA[significantly between rivers, seasons and sites and was significantly     higher (p&lt;0.05) in Cross River (4.1-8.1mg/L) compared to Asu River     (3.2-7.5mg/L). Conductivity and total dissolved solids (TDS) were     significantly higher in Asu River than in Cross River (<a      href="/img/revistas/rbt/v61n4/a21t1.gif">Table 1</a>).</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">In Asu River, NO<sub>3</sub>     was significantly     higher during the dry season while variation in PO<sub>4</sub> was not.     ]]></body>
<body><![CDATA[However,     NO<sub>3</sub> was not significantly variable between seasons in Cross     River but     PO<sub>4</sub> was significantly higher during dry season (p&lt;0.5).     Nitrate     values in Asu River (5.1-15.5mg/L) were higher than those of Cross     River (0.03-1.7mg/L) while PO<sub>4</sub> values were significantly     lower in Asu     River (0.2-0.9mg/L) than in Cross River (0.03-2.6mg/L). </span></font><br      style="font-family: verdana;">     ]]></body>
<body><![CDATA[<br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">A total of 184 taxa     from eight     Divisions (Chlorophyta, Bacillariophyta, Euglenophyta, Dinophyta,     Chrysophyta, Xanthophyta, Cryptophyta and Cyanobacteria) were     encountered in the rivers. Chlorophyta was the most abundant and     diverse taxa in Asu River (56 taxa, 52.8%) while Bacillariophyta was     the most abundant group in Cross River (39 taxa, 42.3%). Species     richness was higher in the latter river (106 taxa) compared to the     former (92 taxa), only 14 species were common to both rivers. </span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">In Asu River (AR1),     Chlorophyta     biomass significantly decreased in rainy from dry season values     (F=11.3, p H&#8217;=0.004) while Bacillariophyta increased significantly     (F=14.0, p=0.004) within the same period, a contrary pattern was     observed in AR2 (reservoir). But in Cross River, Chlorophyta and     Cyanobacteria biomass increased significantly in rainy season (F=186.6,     p&lt;0.0001) while Bacillariophyta decreased significantly from dry     ]]></body>
<body><![CDATA[season values (F=1575.8, p=0.000002) (<a      href="/img/revistas/rbt/v61n4/a21i3.jpg">Fig. 3</a>). </span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Total biomass     (F=11.87, p=0.003),     Shannon-Weiner diversity (F=5.93, p=0.003) and species richness     (F=5.93, p=0.003) varied significantly between seasons in Asu River,     however, only species richness exhibited significant variability     between sites (F=9.52, p=0.004) in the river. Peak values in species     ]]></body>
<body><![CDATA[richness (92 taxa), Shannon-Weiner diversity (6.2 bit/ind.) and total     biomass (0.5mg/L) were attained in March 2005 in Asu River (<a      href="/img/revistas/rbt/v61n4/a21i4.jpg">Fig. 4</a>). In     Cross River, total biomass, Shannon-Weiner diversity and species     richness neither exhibited significant seasonal nor spatial     variability, though values were higher during the dry compared to rainy     season. Peak biomass (&gt;10mg/L) was attained in all sites in the     Cross River in February 2006 (<a      href="/img/revistas/rbt/v61n4/a21i4.jpg">Fig. 4f</a>). The lowest     species richness,     ]]></body>
<body><![CDATA[Shannon-Weiner diversity and total biovolume were recorded for the     sites during July-August of each year (peak rainfall). </span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Twenty-one (21)     functional groups     (FG) were identified in both rivers, 15 from Cross and 17 from Asu     (including the reservoir), the frequently observed groups are shown in     <a href="/img/revistas/rbt/v61n4/a21t2.gif">Table 2</a>. During the     rainy season, pennate diatoms and desmids from     ]]></body>
<body><![CDATA[functional group P (<span style="font-style: italic;">Closterium </span>sp.),     Na (<span style="font-style: italic;">Cosmarium </span>sp. and <span      style="font-style: italic;">Tabellaria     </span>sp.), MP (<span style="font-style: italic;">Navicula </span>spp.)     and TB (<span style="font-style: italic;">Nitzschia </span>sp.)     accounted for more than     95% biomass in Asu River (<a href="/img/revistas/rbt/v61n4/a21i5.jpg">Fig.     5</a>), while Na (<span style="font-style: italic;">Cosmarium </span>sp.),     P     (<span style="font-style: italic;">Closterium </span>sp.) and MP (<span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Frustulia </span>sp.) were dominant     during the dry     season. In the reservoir, P (<span style="font-style: italic;">Closterium     </span>sp.) and H1 (<span style="font-style: italic;">Anabaena </span>sp.)     were     dominant during the dry season, while the former and S1 (<span      style="font-style: italic;">Lyngbya </span>sp.)     predominated during the rainy season. In Cross River, MP (<span      style="font-style: italic;">Frustulia     rhomboides </span>and <span style="font-style: italic;">Gyrosigma </span>sp.),     ]]></body>
<body><![CDATA[D (<span style="font-style: italic;">Opephora martyr</span>) and TB (<span      style="font-style: italic;">Surirella     splendida</span>) were predominant during the dry and rainy season.     Functional     group succession pattern was Na/MP&#8594;TB&#8594;P in Asu River and P&#8594;S1     (rainy&#8594;dry season) in the reservoir. In Cross River, MP and D were     alternately dominant during dry and rainy season.    <br> </span></font><br style="font-family: verdana;"> <font size="2"><span style="font-family: verdana;">Canonical correspondence analysis (CCA) showed that the first two axes accounted for 48.8% of plankton-environment association (<a  href="/img/revistas/rbt/v61n4/a21i6.jpg">Fig. 6</a>). Nitrate (-0.96), TDS (-0.75), conductivity (-0.72), depth (0.69), pH (-0.42) and PO4 (0.35) explained variability in axis 1. Dissolved oxygen (0.73) and temperature (0.40) explained most of the variation in axis 2. Monte Carlo test performed along with CCA showed that the first axis was significant (eigenvalue=0.87, p=0.001), this axis was mainly related to eutrophication factors (high NO<sub>3</sub>), while axis 2 was attributed to hydrophysical factors (temperature, dissolved oxygen and transparency). Thus, explaining occurrence of diverse taxa indicative of eutrophication such as <span style="font-style: italic;">Euglena </span>sp. (W1), <span style="font-style: italic;">Chlorella </span>sp. (K), <span style="font-style: italic;">Chlorococcus </span>sp., <span  style="font-style: italic;">Ceratium </span>sp. and <span  style="font-style: italic;">Peridinium </span>sp. (Lo), <span  style="font-style: italic;">Anabaena </span>sp. and <span style="font-style: italic;">Aphanizomenon </span>sp. (H1), <span  style="font-style: italic;">Closterium </span>sp. (P) and <span  style="font-style: italic;">Scenedesmus </span>sp. and <span style="font-style: italic;">Pediastrum </span>sp. (J) in the reservoir and Asu River compared to the less eutrophic Cross River.     <br> </span></font>    <br>     ]]></body>
<body><![CDATA[<font style="font-weight: bold;" size="3"><span      style="font-family: verdana;">Discussion</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Asu and Cross rivers     are under the     same climatic influence (temperature and rainfall), however, they     differ in size and human impact. Impoundment of Asu River modified     seasonal flow and water level fluctuations, which appeared to impact     the water quality. The river and reservoir increasingly become     ]]></body>
<body><![CDATA[eutrophic with decreasing pluviosity; high NO<sub>3</sub>,     conductivity, TDS and     increased oxygen demand were observed during the dry periods.     Reservoirs are well reported in literature to modify the downstream     water quality of rivers (Soares <span style="font-style: italic;">et al</span>.,     2007). The opening and closing     of reservoir&#8217;s gates (for water level regulation) substantially     influence water quality and hydrology downstream the river and     consequently, could influence the seasonal development of phytoplankton     in rivers where dams are constructed. The NO<sub>3</sub> (Asu) and PO<sub>4</sub>     ]]></body>
<body><![CDATA[(Cross)     concentrations were generally high and showed dissimilar seasonal     dynamics in the rivers, probably due to deliveries from divergent     sources such as farmlands and municipalities. Similar observations have     been made on other river such as Paraibuna River (Soares <span      style="font-style: italic;">et al</span>. 2007)     and Po River (Tavernini, Pierobon &amp; Viaroli, 2011). </span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">Peak phytoplankton     ]]></body>
<body><![CDATA[biomass, species     richness and diversity observed during the dry season in both rivers     and reservoir, were attributed to favorable climatic and hydrologic     conditions resulting from elevated temperature, solar irradiation and     increased water retention time. Such conditions tend to encourage algal     development in rivers (Soares <span style="font-style: italic;">et al</span>.,     2007; Perbiche-Neves <span style="font-style: italic;">et al</span>.,     2011). The reasons for such elevation in biomass are more directly     attributed to efficient utilization of light and nutrient and reduction     in algal wash-out (Bukaveckas <span style="font-style: italic;">et al</span>.     ]]></body>
<body><![CDATA[2011). However, algal biomass was     higher in the larger river (Cross) than the shallow Asu River. The     presence of extensive floodplain lakes in Cross River (which is absent     in Asu) provides readily suitable explanation to the difference in     biomass (Okogwu, Nwani &amp; Ugwumba, 2009). Floodplain lakes and back     waters could substantially influence the algal composition of rivers by     providing inoculum that enhances the diversity and biomass of     phytoplankton (Rojo, Colbelas &amp; Arauzo, 1994; Tavernini <span      style="font-style: italic;">et al</span>.,     2011).</span></font><br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">The phytoplankton of     Asu River,     thus appear to be influenced by the reservoir, which is similar to     previous observations (Reynolds &amp; Descy, 1996) on impounded rivers.     Increasing importance of Cyanobacteria in reservoirs especially during     periods of low precipitation as observed in this study is a common     phenomenon (Padis&aacute;k, 1997; Marinho &amp; Huszar, 2002). The     dominant Cyanobacteria in the reservoir, <span      style="font-style: italic;">Anabaena </span>sp. could have     ]]></body>
<body><![CDATA[profited from high temperature and NO3, and low transparency as well as     relatively stable water column. We therefore conclude that while     phytoplankton development in Cross River was influenced by the presence     of floodplain lakes, phytoplankton in Asu River were overwhelmingly     affected by the reservoir and eutrophication.</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">The collapse of the     phytoplankton     community during the rainy season occurred during the period of high     ]]></body>
<body><![CDATA[water discharge, turbidity and suspended solids. Here, a major dilution     of the phytoplankton biomass and a decrease in water temperature and     water retention time also seem to play a role. In addition,     deteriorating physiological status of diatoms (due to prolonged poor     light conditions resulting from low transparency) and wash-out enhanced     algal loss (Reynolds, 1997) during turbulent periods. Such conditions     are known to retard phytoplankton development (Reynolds, 2006; Salmaso     &amp; Braioni, 2008); species loss under these conditions overwhelms     recruitment. The algal community is thus delimited to a few species     capable of exploiting these extreme conditions (Devercelli, 2010),     ]]></body>
<body><![CDATA[which are usually small unicellular pennate diatoms and desmids     (Reynolds, 2006; Soares <span style="font-style: italic;">et al</span>.,     2007). Therefore, the decline in     biomass is not limited to low algal productivity but also due to     diminution in large-sized species. Hence, during the rainy season, both     rivers supported algal growth and selected for a few disturbance and     shade tolerant, opportunistic diatoms and desmids belonging to     functional groups MP and TB. An analogous observation was also made by     Istv&aacute;novics, Honti, V&ouml;ros &amp; Kozma (2010) and Okogwu     &amp; Ugwumba (2012). </span></font><br style="font-family: verdana;">     ]]></body>
<body><![CDATA[<br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">We identified     several environmental     differences between the two rivers, which include the seasonal water     level fluctuation pattern, nutrient availability, transparency,     dissolved oxygen, conductivity and total dissolved solids. Such     environmental differences are expected to induce differences in     phytoplankton community structure and dynamics between the rivers. It     is therefore not surprising that there were obvious differences in the     dominant phylogenic and functional groups in the rivers.     ]]></body>
<body><![CDATA[Hydrogeomorphic differences between these rivers probably account for     the difference, for example, the shoreline of Cross River at some of     the sampled sites is lined with rocks and hydrologic storage zones.     These zones typically house numerous periphyton that are dislodged and     temporarily suspended in water during periods of turbulent flow (Rojo     <span style="font-style: italic;">et al</span>., 1994; Tavernini <span      style="font-style: italic;">et al</span>., 2011), which explains the     dominance of     MP such as <span style="font-style: italic;">Opephora martyr</span>, <span      style="font-style: italic;">Gyrosigma </span>sp. and <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Surirella splendida </span>in     Cross River. Rocky shorelines are absent in Asu River and the high     nutrient value tend to support the growth of eutrophic species such     <span style="font-style: italic;">Chlorococcus </span>sp., <span      style="font-style: italic;">Ceratium </span>sp. and <span      style="font-style: italic;">Peridinium </span>sp. (Lo), <span      style="font-style: italic;">Cyclotella </span>sp.     (C), <span style="font-style: italic;">Anabaena </span>(H1) and <span      style="font-style: italic;">Lyngbya </span>sp. (S1). Differing     hydrogeomorphic     ]]></body>
<body><![CDATA[patches generate divergent ecological processes and patterns (as seen     between the two rivers), and have been shown to influence phytoplankton     dominance pattern (Reynolds, 2006; Istv&aacute;novics <span      style="font-style: italic;">et al</span>., 2010;     Tavernini <span style="font-style: italic;">et al</span>., 2011).</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">It may be arguably     correct to     assume that hydrologic and climatic factors were the most important     ]]></body>
<body><![CDATA[factors structuring the phytoplankton community in both rivers as shown     repeatedly in several studies (Reynolds, 2006; Salmaso &amp; Braioni,     2008; Perbiche-Neves <span style="font-style: italic;">et al</span>.,     2011). However, the importance of     eutrophic factors in shaping phytoplankton tends to increase in     relevance in the shallow and more eutrophic Asu River, and during dry     season as shown by CCA. The increasing relevance of eutrophic factors     in Asu River explains the appearance of numerous species (<span      style="font-style: italic;">Phacus </span>sp.     (W1), <span style="font-style: italic;">Botryococcus </span>sp. (F), <span     ]]></body>
<body><![CDATA[ style="font-style: italic;">Volvox </span>sp. (G), <span      style="font-style: italic;">Rhodomonas </span>sp. (X2) and     <span style="font-style: italic;">Chlorella </span>sp. (K)) that     commonly occur in shallow eutrophic lakes     (Okogwu &amp; Ugwumba, 2009) in the river but not in the Cross River.</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">We therefore     conclude that     nutrients are simply as important as hydrologic and climatic factors in     ]]></body>
<body><![CDATA[determining the biomass, diversity and dominant phylogenic and     functional phytoplankton groups in shallow tropical rivers. Our     argument is simple; &#8216;if nutrients predominate hydrologic factors in     shaping phytoplankton during dry season (half of the year;     November-April), then, it is logically incorrect to assume that it is     subordinate to the other forces (hydro-meteorological) that structure     phytoplankton during the other half of the year (rainy season)&#8217;. It is     therefore proposed that the management of rivers, especially those with     dams, should incorporate nutrient enrichment control measures with     fluvial hydrogeomorphology in order to achieve better results. </span></font><br     ]]></body>
<body><![CDATA[ style="font-family: verdana;">     <br style="font-family: verdana;">     <font style="font-weight: bold;" size="3"><span      style="font-family: verdana;">Acknowledgment</span></font><br      style="font-family: verdana;">     <br style="font-family: verdana;">     <font size="2"><span style="font-family: verdana;">The authors are     grateful to the     students of Applied Biology, Ebonyi State University for their     assistance in sample collection.    ]]></body>
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Canadian Journal of Fisheries and Aquatic Sciences, 53: 99-105.    &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[&#160;<a href="javascript:void(0);" onclick="javascript: window.open('/scielo.php?script=sci_nlinks&ref=1536960&pid=S0034-7744201300050002100048&lng=','','width=640,height=500,resizable=yes,scrollbars=1,menubar=yes,');">Links</a>&#160;]<!-- end-ref --><br>     <br> <a name="Correspondencia1"></a><a href="#Correspondencia2">*</a>Correspondencia a:    <br> </span></font><sup><font style="font-family: verdana;" size="2"><a  name="1"></a><a href="#3">1</a></font></sup><font  style="font-family: verdana;" size="2">Okechukwu Idumah Okogwu:</font><font  style="font-family: verdana;" size="2">Applied Biology Department, Ebonyi State University, PMB 53, Abakaliki, Ebonyi State, Nigeria;okeyokogwu@yahoo.com    <br> </font><font style="font-family: verdana;" size="2"><a name="2"></a><a  href="#4">2</a></font><font style="font-family: verdana;" size="2">Alex O. Ugwumba:</font><font style="font-family: verdana;" size="2">Department of Zoology, University of Ibadan, Ibadan, Oyo State, Nigeria; adiaha4me@yahoo.co.nz</font><font  style="font-family: verdana;" size="2"> </font></font> <hr style="width: 100%; height: 2px;">     <div style="text-align: center;"><font  style="font-family: verdana; font-weight: bold;" size="3"><font  style="font-weight: bold;" size="2"><span style="font-family: verdana;">Received 24-IX-2012.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Corrected 23-III-2013.&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Accepted 24-IV-2013.</span></font></font></div> </div>      ]]></body><back>
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