SciELO - Scientific Electronic Library Online

 
vol.73 suppl.1Does mesofaunal abundance and composition influence mangrove leaf litter decomposition?Climate Change Scenarios in the Southern Caribbean region of Central America índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

Compartilhar


Revista de Biología Tropical

versão On-line ISSN 0034-7744versão impressa ISSN 0034-7744

Rev. biol. trop vol.73  supl.1 San José Mar. 2025

http://dx.doi.org/10.15517/rev.biol.trop..v73is1.63714 

Artículo

Soft-bottom benthic assemblage changes due to tropical seasonal upwelling (Bahía Salinas, Costa Rican Pacific)

Cambios en el ensamblaje bentónico de fondos blandos debido al afloramiento estacional tropical (Bahía Salinas, Pacífico, Costa Rica)

Jeffrey-A. Sibaja-Cordero1  2 
http://orcid.org/0000-0001-5323-356X

Jorge Cortés1  2 
http://orcid.org/0000-0001-7004-8649

Viktoria Bogantes1  2  3 
http://orcid.org/0000-0002-9650-5913

Rita Vargas2 
http://orcid.org/0000-0003-0561-2121

Kimberly García-Mendez1  2  4 
http://orcid.org/0000-0001-7059-1860

1. Centro de Investigación en Ciencias del Mar y Limnología (CIMAR), Ciudad de la Investigación, Universidad de Costa Rica, San Pedro, 11501-2060 San José, Costa Rica; jeffrey.sibaja@ucr.ac.cr, jorge.cortes@ucr.ac.cr

2. Escuela de Biología, Museo de Zoología, Universidad de Costa Rica, San Pedro, 11501-2060 San José, Costa Rica; rita.vargas@ucr.ac.cr

3. Department of Biology, University of West Florida, 11000 University Pkwy Pensacola, FL 32514, USA; vikbogantes79@gmail.com

4. O’Dea Lab, Smithsonian Tropical Research Institute, Panama; kimberly13@gmail.com

Abstract

Introduction:

Seasonal upwelling is a displacement offshore of surface seawater and replacement by cool deeper water with higher nutrient levels by the influence of the wind. On the north Pacific coast of Costa Rica the upwelling is present from December to April.

Objective:

Within this seasonal upwelling area, Salinas Bay was sampled to determine whether the upwelling has an effect on the diversity, composition, and trophic guilds of the soft-bottom benthic community.

Methods:

The bay was visited during the upwelling and non-upwelling seasons of 2007-2009. A number of six to nine grab samples were taken in each sampling event.

Results:

Richness and abundance were lower in the non-upwelling season and the highest values were observed at the end of the upwelling. The taxa composition of assemblages varied partially across the seasons, depending on the upwelling intensity.

Conclusions:

The species composition was more diverse and abundant at the end of the upwelling season than at the start or in the non-upwelling season. Differences in infaunal assemblages during the seasonal upwelling could be explained by the change in characteristics of the sediment-water interface, nutrients, and sediment movements that promote the increase of planktonic productivity, and thus food availability.

Key words: diversity; benthos; sediment processes; recruitment; nutrient dynamics; mollusks; population dynamics.

Palabras clave: diversidad; bentos; procesos sedimentarios; reclutamiento; dinámica de nutrientes, moluscos; dinámica poblacional.

Resumen

Introducción:

El afloramiento estacional es un desplazamiento de agua de mar superficial hacia la costa y su reemplazo por agua más profunda y fría con mayores niveles de nutrientes por la influencia del viento. En la costa norte del Pacífico de Costa Rica, el afloramiento está presente de diciembre a abril.

Objetivo:

Dentro de esta área de afloramiento estacional, se muestreó la Bahía de Salinas para determinar si el afloramiento tiene un efecto sobre la diversidad, composición y gremios tróficos de la comunidad bentónica de fondos blandos.

Métodos:

La bahía fue visitada durante las temporadas de afloramiento y no afloramiento de 2007-2009. Se tomaron de seis a nueve muestras al azar en cada evento de muestreo.

Resultados:

La riqueza y abundancia fueron menores en la temporada sin afloramiento y los valores más altos se observaron al final del afloramiento. La composición de taxones de los ensamblajes varió parcialmente a lo largo de las estaciones, dependiendo de la intensidad del afloramiento.

Conclusiones:

La composición de especies fue más diversa y abundante al final de la temporada de afloramiento que al inicio o en la temporada sin afloramiento. Las diferencias en los conjuntos infaunales durante el afloramiento estacional podrían explicarse por el cambio en las características de la interfaz sedimento-agua, los nutrientes y los movimientos de sedimentos que promueven el aumento de la productividad planctónica y, por lo tanto, la disponibilidad de alimentos.

Introduction

In upwelling areas, the warm surface water is pushed offshore by winds and replaced by cool deeper water with higher nutrient levels (Witman, 2007). Marine benthic communities respond to these water column fluctuations (Alongi, 1989a). This coupling between water column processes and the benthos has been documented by Alongi (1990), Graf (1992), Posey et al. (1995), and Witman (2007). In this context, input of organic matter from plankton can result in an increase of benthic biomass, or it could sustain the macrobenthos in posterior oligotrophic environments (Cosentino & Giacobbe, 2008; Escobar-Briones & Soto, 1997).

The upwelling process results in positive and negative effects on the marine fauna. For example, in Peru and Africa the upwelling has a positive influence on the biomass of benthic fauna (Alongi, 1990). Conversely, Alongi (1989b) points out that intense or constant upwelling on these shelves, and on the California coast, can have deleterious effects by exposing the benthos to anoxia. Additionally, the larval recruitment of benthic taxa can be reduced with an increase in the intensity (temporal permanence) of the upwelling (Menge et al., 1997, Menge et al., 2003), by exporting larval stages offshore.

The intensity or temporal permanence of the upwelling causes variations in taxa composition, as observed in rocky shore communities of both temperate and tropical localities (Cortés et al., 2014; Menge et al., 1997; Menge et al., 2003; Sibaja-Cordero & Cortés, 2008). Connolly & Roughgarden, (1999); Menge et al., (1997) and Phillips, (2005) have documented that areas with less intense upwelling, such as Oregon and the north of California, exhibit increased density, biomass, and growth of filter feeders compared to areas with stronger upwelling, like the south of California. These increases are attributed to the more stable and favorable conditions for filter feeders and their recruits in these less intense upwelling zones. Another example is the Galapagos Islands where both the number and the cover of rocky subtidal species (mainly suspension feeders) increased twofold when the upwelling events (causing the water temperature to drop by 3 to 9 ºC in less than a day) became more frequent and predictable from June to February (Witman & Smith, 2003). Sibaja-Cordero & Cortés (2008) report a change in the composition of rocky shore assemblages with more macroalgae cover during the season of upwelling in contrast with a less diverse assemblage dominated by barnacles in the non-upwelling season in Bahía Salinas, Costa Rica. In the case of soft-bottom systems, Quintana et al. (2015) noted that lower abundance values during non-upwelling periods compared to upwelling seasons in southeast Brazil can be the result of the decreased organic matter quality (detritus from phytoflagellate or diatom blooms) on the bottom.

A seasonal upwelling system has a temporal displacement offshore of the coastal surface seawater by the strong influence of wind. As the wind relaxes, the coastal system changes toward its initial condition. Seasonal upwellings in the neotropics occur in the Gulf of Tehuantepec (Mexico), Bay of Panama (Panama), and the Pacific coast of south of Nicaragua to Gulf of Papagayo, Costa Rica. During the dry season (December to April) the Trade Winds blow across Mesoamerica, from the Caribbean to the Pacific, producing strong Northeasterly winds, and resulting in a coastal upwelling of cooler nutrient-rich waters with lowest dissolved oxygen content (Alfaro & Cortés, 2012; Chelton, 2000a, Chelton, 2000b; Legeckis, 1988; McCreary et al., 1989).

During the upwelling season, the water temperature in the Gulf of Papagayo dropped by 7 °C to 9° C, while the nutrient concentrations rose by 3 to 15-fold. This stimulated phytoplankton growth, resulted in a 3 to 6-fold increase in chlorophyll concentration (Stuhldreier et al., 2015). This primary production and nutrient availability in the water column during upwelling possibly promote the development of diverse and abundant macrobenthic populations in the sediments of these areas (Alongi, 1990; Lee 1978; Menge et al., 2003). The small bay of Bahía Salinas (North Pacific of Costa Rica) is located in an area where the Trade Winds blow can blow with more intensity, because this zone has a low altitude of mainland, and a marked east-west axis which allows the winds to pass through without much obstruction (Alfaro & Cortés, 2021).

This study examines how the benthic taxa and feeding guilds vary in number, abundance, and composition between upwelling and non-upwelling seasons in Bahía Salinas. It also describes the oceanological and environmental conditions during the study period and the spatial variability of the benthic macrofauna within the bay.

Materials and methods

The oceanological and environmental conditions were measured to describe the periods of upwelling vs no upwelling in the specific locality of Bahía Salinas, North Pacific of Costa Rica during December 2007 to April 2009 (Fig. 1). Data on chlorophyll (µg/L) concentration, sea surface temperature (ºC), and wind velocity (m/s) to characterize the bay were obtained from the satellite data MODIS, AVHRR P5.1, QuickCAT, respectively available in NOAA Ocean Watch Voyager (http://www.pacioos.hawaii.edu/voyager/oceanwatch.html). The data are monthly averages derived from a box between 85° 38’ 32.64” W to 86° 15’ 0.36” W and 10° 56’ 56.76” N to 11° 9’ 2.16” N (Fig. 1). Additionally, seawater temperature at the bottom was recorded in situ with Hobo®Temp sensors, every 30 min at 3-6 m and 6.5-9 m depth, within the bay and outside the bay, stations H1-H2 and H3-H4, respectively, during the study period (Fig. 1). The mean ± standard deviation, minimum, and maximum values of these variables recorded were presented as indicators of upwelling.

Fig. 1 Stations for benthic grab samples during December 2007 (stations 1-9), August 2008 (stations 1, 3, 4, 6 and 8), December 2008 and April 2009 (stations 1, 3, 4, 6, 8 and 9). Sites for Hobo®Temp sensors, labeled H1-H2 in the bay and H3-H4 outside the bay. The satellite data of wind, seawater temperature and chlorophyll concentration comes from the box on the figure on the right. 

Four sampling visits (December 2007, August 2008, December 2008 and April 2009) were carried out to study the subtidal benthic community of Bahía Salinas. The bottom of the bay (Fig. 1) was divided into three zones: the inner bay (3 to 18 m depth at chart datum), middle bay (18 to 35 m depth) and outside bay (35 to 40 m depth).

A Petite Ponar grab (sampling area: 15.2 x 15.2 cm) was used to sample the sediment and biotic assemblages from an 11 km transect from the inner to outside bay (Fig. 1). In December 2007 (start of the upwelling season), nine grabs were collected, three in each zone of the bay (Fig. 1). In August 2008 (non-upwelling season), five grabs were taken, two in the inner bay, two in the middle bay, and one in the outside bay. In both December 2008 (start of the upwelling season) and April 2009 (end of the upwelling season), six grabs were collected, two in each zone of the bay (Fig. 1). The number of sampled stations vary between dates by the presence of adverse weather or severe oceanographic conditions. All sediment samples were preserved with formalin diluted to 5 % in seawater and stained with Rose Bengal. The samples were sieved through a 500 μm mesh, gently cleaned with fresh water as per Vargas (1987). The organisms were separated and identified to the lowest possible taxonomic category. Polychaetes were identified following Dean (1998), Dean (2001a), Dean (2001b) and de León-González et al. (2009), the mollusks following Keen (1971), and the crustaceans following Fischer et al. (1995), Hendrickx (1997), Hendrickx (1999), Rathbun (1918), Wicksten (1983), and Williams (1986). The identification for other groups was done with Carlton (2007).

Total taxa and total abundance per sampling date and zone of the bay were analyzed using a chi-squared test with expected values corrected by sampling effort (number of grab samples) following Krebs (1999). Additionally, mean diversity (H) using the Shannon-Wiener function with Ln, and mean equitability (J) were compared between dates of the bay with a Friedman test (F). With a Kendall’s coefficient (Wt) was determined the degree of concordance in the values of biodiversity measures across zones of the bay (0 = no concordance to 1 = total concordance) (Krebs, 1999; Siegel, 1956). This statics were carried out in R. A non-metric Multidimensional Scaling (nMDS) based in the Euclidean distance of the abundances (transformed by Ln x+1) was used to visualize the dissimilarity between samples according with the zones of the bay and sampling dates (Hammer et al., 2001). Euclidean distance of transformed data represented a gradient in a better way than a Bray-Curtis of the abundance data (Legendre & Gallagher, 2001). This analysis was conducted using the vegan package in R (Oksanen et al., 2019). In the PAST software, a two-way ANOSIM test was carried out to determine the degree of discrimination (R value as in Clarke, l993) between sampling date and zone of the bay, and a SIMPER analysis was applied to the data (Ln x+1) that provides the percentage contribution of each taxa to the between-group dissimilarity by sampling dates and zones (Clarke & Warwick, 1994; Hammer et al., 2001).

Additional, each taxon was catalogued by feeding guild using the information of (Fauchald & Jumars, 1979), Jumars et al. (2015), and MacDonald et al. (2010), assuming that the taxa found feed in a similar manner to species within the same major group: suspension feeder (active, passive, and mixed), deposit feeder (surface and subsurface), mobile predators, scavengers, omnivores, and herbivores to describe the functional composition of the faunal assemblages. Finally, ANOSIM and SIMPER tests were conducted using the feeding guilds data (Ln x+1) with Euclidean distance. The density of individuals per m2 was calculated from the means through a back transformation from the estimates of the SIMPER output.

Results

Oceanological and environmental conditions: Wind speeds reached above 4 m/s from November to the end of March, and presented the minimum speeds from April to July (Fig. 2A). Sea surface temperature (SST) from satellite data was lowest during the upwelling season (with minimum values of 24-25 ºC), than during the non-upwelling season (with minimum values above 28 ºC) (Fig. 2B). Mean and minimum seawater temperature from the in-situ sensor had lower values during upwelling season (April: 19-21 ºC and 15-17 ºC), and reached a higher mean during non-upwelling season (August: 28-28.5 ºC and 25-26.2 ºC) at the two depths and the two sites recorded (Table 1). Water temperature was 3 to 4 ºC cooler at 6.5-9 m than 3-6 m in both seasons (Table 1). Increased chlorophyll concentration was concordant with the increase in wind velocity and decrease of SST (Fig. 2C).

Table 1 Sea water temperature in the bottom by depth and date, measured at two sites in the region of Bahía Salinas, Costa Rica.  

Depth (m) Mouth of the bay Out of the bay
H1 Dec 2007 Aug 2008 Dec 2008 Apr 2009 H3 Dec 2007 Aug 2008 Dec 2008 Apr 2009
3-6 Mean 23.4 28.4 26.6 19.7 Mean 23.8 28.3 24.4 21.2
Desv 1.3 0.9 0.4 0.8 Desv 1.2 0.8 1.0 3.2
Max 26.6 29.8 27.3 22.3 Max 26.8 29.4 27.4 29.0
Min 20.0 25.4 25.4 17.0 Min 21.3 25.0 22.4 16.2
Depth (m) H2 Dec 2007 Aug 2008 Dec 2008 Apr 2009 H4 Dec 2007 Aug 2008 Dec 2008 Apr 2009
6.5-9 Mean 22.98 28.28 24.07 20.41 Mean 23.6 28.5 24.0 20.8
Desv 0.38 0.96 1.01 3.05 Desv 1.2 0.7 0.7 3.1
Max 23.64 29.71 27.13 28.82 Max 26.7 30.0 26.3 28.7
Min 21.74 25.16 21.82 15.77 Min 20.9 26.2 22.1 15.4

The highest temperatures are in bold font. The minimum temperatures are underlined. H1 to H4 are the Hobo®Temp sensors.

Fig. 2 A. Wind velocity, B. superficial seawater temperature, and C. Chlorophyll concentration from satellite data offshore of Bahía Salinas, Costa Rica. Data from NOAA Ocean Watch Voyager. The gray areas represent the benthic sampling events. 

Fauna diversity and assemblages composition: A total of 1 969 individuals from 157 taxa were collected (Table 2). The nine grabs from December 2007 contained 683 individuals from 75 taxa; 136 individuals from 40 taxa were found in August 2008 (five grabs); 252 individuals from 76 taxa in December 2008 (six grabs); and 898 individuals from 101 taxa in April 2009 (six grabs). Polychaetes showed the highest percentage of total abundance and taxa, followed by crustaceans and mollusks (Table 3). Other relatively abundant taxa were sipunculids, nemerteans, nematodes, and echinoderms; remaining taxa corresponded to a flatworm (Platyhelminthes), a brachiopod, a cephalochordate, and a demersal fish (Table 2, Table 3).

Table 2 Taxa found during the benthic grab samples by dates in Bahía Salinas, Costa Rica. 

Taxonomic group Taxa Feeding guilds SU NU SU U Total
Dec. 2007 Aug. 2008 Dec. 2008 Apr. 2009
Polychaeta Acrocirridae Acrocirridae indet. Ds 1 1 2
Ampharetidae Amphicteis sp. Ds 7 2 1 9 19
Melinna sp. Ds 3 15 18
Capitellidae Capitella sp. Dss 2 2
Capitellidae indet. Dss 1 1
Dasybranchus lumbricoides Dss 1 1
Decamastus nudus Dss 1 5 6
Heteromastus filiformis Dss 1 1
Mediomastus ambiseta Dss 2 1 3 6
Mediomastus californiensis Dss 4 4
Nootmastus tenuis Dss 2 2
Notomastus lineatus Dss 1 1 2
Peresiella sp. Dss 1 1
Chaetopteridae Mesochaetopterus sp. Sfa 1 1
Cirratulidae Cirratulidae indet. Ds 28 2 16 198 244
Cossuridae Cossura brunnea Dss 1 1 3 5
Dorvilleidae Dorvillea sp. Pm-Sca 1 1 5 7
Eulepethidae Grubeulepis ecuadorensis Pm 1 1
Glyceridae Glycera sp. Pm 3 5 4 12
Goniadidae Glycinde armigera Pm 2 1 1 4
Goniada sp. A Pm 3 18 21
Goniada sp. B Pm 4 4
Goniadidae indet. Pm 3 1 4
Hesionidae Gyptis sp. Pm 1 3 8 12
Hesione panamena Pm 2 2
Hesionides arenarius Pm 1 1
Lumbrineridae Lumbrineridae indet. A Pm 2 2 4
Lumbrineridae indet. B Pm 13 4 3 24 44
Magelonidae Magelona californica D-Pm 4 1 2 7
Magelona pacifica D-Pm 9 10 11 30
Maldanidae Heteroclyne cf. glabra Dm 1 1
Maldanidae indet. Dm 1 1
Maldanidae Indet. A Dm 1 1
Nepthyidae Aglaophamus sp. Pm 2 2
Aglaophamus verrilli Pm 4 12 10 4 30
Nepthys panamanensis Pm 26 4 7 12 49
Nereididae Ceratonereis singularis (Juvenile) Om 1 1
Gymnonereis crosslandi Om 3 1 1 5
Neanthes microma Om 1 1
Nereis sp. (Juvenile) Om 2 2
Nereididae (Juvenile) Om 2 2
Nereid larvae Om 1 1 2
Onuphidae Diopatra tridentata Om 3 1 1 13 18
Kinbergonuphis microcephala Om 7 3 4 17 31
Ophelidae Armandia brevis Dss 8 1 1 25 35
Orbiniidae Scoloplos armiger Dss 1 1 1 3
Scoloplos sp. Dss 3 2 5
Owenidae Owenia fusiformis SFp-Ds 1 1
Paraonidae Acesta (Acmira) lopezi Dm 1 1 2 4
Aricidea (Acmira) catherinae Dm 25 4 15 42 86
Aricidea (Aedicira) sp. A Dm 3 2 5 10
Aricidea (Aedicira) sp. B Dm 2 2 4
Levensenia gracilis Dm 1 1
Phyllodocidae Eumida longicornuta Pm-Sca 1 1
Phyllodoce madeirensis Pm-Sca 2 7 9
Phyllodoce sp. Pm-Sca 1 1 11 13
Phyllodocidae indet. A Pm-Sca 1 1
Phyllodocidae indet. B Pm-Sca 1 1
Pilargidae Loandalia riojai Pm 1 2 4 7
Parandalia tricuspis Pm 3 4 7
Sigambra sp. Pm 1 1
Sigambra tentaculata Pm 22 22
Polynoidae Polynoidae indet. Pm 3 1 4
Sabellariidae Idanthyrsus sp. SFp-Ds 1 1
Sabellidae Sabellidae indet. SFp 28 4 6 103 141
Sigalionidae Sthenelais fusca Pm 2 2 2 6
Spionidae Apoprionospio pygmaea SFp-Ds 10 1 2 13
Dipolydora socialis SFp-Ds 1 1
Paraprionospio pinnata SFp-Ds 167 1 17 25 210
Prionospio (Minuspio) multibranchiata Ds 28 15 18 61
Prionospio (Prionospio) ehlersi Ds 1 1
Prionospio delta Ds 5 5
Prionospio sp. A Ds 3 3
Scolelepis (Scolelepis) squamata SFp 1 26 27
Spiophanes duplex SFp-Ds 19 1 4 3 27
Spiophanes sp. A SFp-Ds 1 1 2
Syllidae Brania sp. Om 1 1
Exogone breviantenata Om 2 1 3
Exogone dispar Om 2 1 3 6
Terebellidae Terebellidae indet. Ds 2 1 3
Trichobranchidae Terebellides reishi Dss 2 1 2 3 8
Oligochaeta Oligochaeta indet. Dss 5 5
Sipuncula Aspidosiphonidae Aspidosiphon sp. Dm 1 1 2 4
Aspidosiphon sp. A Dm 1 1 2
Phascolosomatidae Apionsoma sp. Dm 5 28 14 20 67
Mollusca / Class Gastropoda Bullidae Bullidae indet. H 3 3
Caecidae Caecidae indet. Pm 1 1
Naticidae Natica sp. Pm 1 1 2
Sinum noyesii Pm 2 2
Naticidae (Juvenile) Om 1 1
Bivalvia indet. SFa 1 2 3
Mollusca / Class Bivalvia Corbulidae Corbullidae indet. SFa 2 2
Donacidae Donacidae indet. SFa 1 2 3
Mytilidae Mytilidae indet. (Juvenile) SFa 1 1
Nuculidae Nucula (Saccella) elenensis SFa 1 1
Veneridae Pitar helenae SFa 1 1
Veneridae indet. (Juvenile) SFa 1 12 13
Tellinidae Tellina (Eurytellina) eburnea eburnea SFa 3 1 4
Tellinidae indet. (Juvenile) SFa 4 1 30 35
Crustacea / Class Malacostraca / O. Decapoda /I.O. Brachyura Raninidae Raninoides benedicti Om 4 2 1 7
Pseudorhombilidae Malacoplax californiensis Pm 1 6 3 10
Parthenopidae Mesorhoea bellii Om 1 1
Pinnotheridae Pinnotheridae indet. Om 1 1
Parthenopidae Upogebia jonesi Om 1 1
Thalassinidea Thalassinidea indet. Om 3 3
Crustacea / Class Malacostraca / O. Decapoda / I.O. Caridea Caridea indet. A Om 1 1
Caridea indet. B Om 1 1
Caridea indet. C Om 1 1
Caridea indet. D Om 1 1
Processidae Processa peruviana Om 2 2
Pasiphaeidae Leptochela gracilis Om 1 1
Penaeidae Penaeidae indet. Om 3 3
Alpheidae Alpheus sp. Pm 2 1 1 4
Automate dolichognatha Pm 1 1
Zoea larvae Om 1 1
Crustacea / Class Malacostraca / O. Amphipoda Amphipoda indet. A Om 174 36 15 23 248
Amphipoda indet. B Om 1 2 3
Amphipoda indet. C Om 1 2 7 10
Amphipoda indet. D Om 1 1 2
Amphipoda indet. E Om 1 6 7
Amphipoda indet. F Om 1 10 11
Amphipoda indet. G Om 1 2 3
Amphipoda indet. H Om 1 2 3
Amphipoda indet. I Om 1 1
Amphipoda indet. J Om 10 10
Amphipoda indet. K Om 1 1
Amphipoda indet. L Om 1 1
Amphipoda indet. M Om 11 11
Caprellidae indet. H 1 7 8
Crustacea / Class Malacostraca / O. Cumacea Cumacea indet. A Om 1 1 2 4
Cumacea indet. B Om 1 1
Cumacea indet. C Om 1 1
Cumacea indet. D Om 2 2 4
Crustacea / Class Malacostraca / O. Isopoda Gnathiidae Gnathia sp. Pm 1 1
Isopoda indet. A Om 1 1
Isopoda indet. B Om 1 1
Isopoda indet. C Om 3 3
Isopoda indet. D Om 2 2
Crustacea / Class Malacostraca / O. Leptostraca Nebaliidae Nebalia sp. Pm 1 1 2
Crustacea / Class Copepoda / O. Harpacticoida Harpacticoida indet. A Om 8 1 9
Harpacticoida indet. B Om 5 2 7
Harpacticoida indet. C Om 1 1
Crustacea / Class Ostracoda Ostracoda indet. A Om 2 2
Ostracoda indet. B Om 1 1
Ostracoda indet. C Om 1 1
Ostracoda indet. D Om 6 6
Ostracoda indet. E Om 1 1
Ostracoda indet. F Om 1 1
Nemertea Nemertea indet. Pm 6 1 6 19 32
Platyhelminthes / Class Rabditophora / O. Tricladida Tricladida indet. Pm 1 1
Brachiopoda / Class Inarticulata Lingulidae Glottidia albida Sfa 1 2 3
Nematoda Nematoda indet. Om 13 13
Echinodermata / Class Asteroidea Asteroidea indet. Pm 3 1 4
Echinodermata / Class Holothuroidea Holuthuroidea indet. Dss 1 1
Echinodermata / Class Ophiuroidea Ophiuroidea Ophiuroidea indet. Sfa 1 6 7
Chordata / Subphyllum Cephalochordata / Class Leptocardii Branchiostomatidae Branchiostoma californiense SFa 2 2
Chordata / Subphylum Vertebrata / Class Teleostei Ophichthidae Ophichthidae indet. Pm   1     1

SU: Start upwelling season, NU: non-upwelling season, and U: upwelling season. Feeding guilds, D: Deposit feeder, s: surface, ss: subsurface, m: mixed; SF: Suspension feeder, a: active, p: passive; Pm: Predator mobile; Sca: Scavenger; Om: Omnivore, H: Herbivore.

Table 3 Percentage of taxa and total abundance of each faunal group by dates. Bahía Salinas, Costa Rica. 

Taxa %
Dec-07 Aug-08 Dec-08 Apr-09
Annelida 69 65 53 64
Crustacea 19 15 39 23
Mollusca 8 10 4 8
Others 4 10 4 5
Abundance Dec-07 Aug-08 Dec-08 Apr-09
Annelida 67 60 67 80
Crustacea 29 34 27 11
Mollusca 2 4 1 6
Others 3 3 4 3

The total number of taxa and individuals was lower during the non-upwelling season, at the start of the upwelling season, these values increased. By the end of the upwelling season, both values were even higher (taxa: χ2 = 29.24, d.f. = 3, P < 0.001; individuals: χ2 = 678.75, d.f. = 3, P < 0.001, Table 4).

Differences in the number of taxa between zones of the bay varied across sampling dates (χ2 = 17.09, d.f. = 6, P = 0.009) (Table 4). Post-hoc comparisons revealed that a similarly low number of taxa were found between the zones in August 2008 (non-upwelling season) (χ2 = 0.52, d.f. = 2, P = 0.771). In December 2007 (the start of the upwelling season), a lower taxa number were found at mid bay (χ2 = 9.72, d.f. = 2, P = 0.008). However, in December 2008, there was a peak in the number of taxa in the mid bay (χ2=9.14, d.f.=2, P = 0.010). The number of taxa was higher and similar across the bay in April 2009 (upwelling season) (χ2 = 2.87, d.f. = 2, P = 0.238) (Table 4).

Table 4 Biodiversity parameters by date and zone of the bay of the benthic macrofauna of Bahía Salinas, Costa Rica.  

Species
Zone December 2007 August 2008 December 2008 April 2009 Total number of species
Inner bay 36 16 29 49 88
Middle bay 26 19 52 67 103
Outer bay 53 15 30 56 96
Total number of species 75 40 76 101 157
Abundance
Zone December 2007 August 2008 December 2008 April 2009 Total abundance
Inner bay 137 26 52 166 381
Middle bay 122 66 125 348 661
Outer bay 424 44 75 384 927
Total abundance 683 136 252 898 1969
Shannon-Wiener
Zone December 2007 August 2008 December 2008 April 2009 Mean Diversity
Inner bay 2.04 1.75 2.19 2.92 2.20
Middle bay 2.03 1.88 3.16 3.01 2.46
Outer bay 2.08 1.77 2.53 2.77 2.33
Mean Diversity 2.05 1.81 2.63 2.90 2.33
Equitability
Zone December 2007 August 2008 December 2008 April 2009 Mean equitability
Inner bay 0.87 0.84 0.83 0.87 0.86
Middle bay 0.84 0.73 0.91 0.80 0.82
Outer bay 0.62 0.66 0.91 0.76 0.73
Mean equitability 0.78 0.76 0.89 0.81 0.81

The highest values are in bold font and the lowest values are underlined.

Similar to the number of taxa, the values of the total abundance (Table 4) varied in their distribution within the bay (factor zone) across the sampling dates (χ2 = 145.00, d.f. = 6, P < 0.001). Post-hoc comparisons revealed that the middle of the bay showed the lowest abundance in December 2007 (χ2 = 254.46, d.f. = 2, P < 0.001), while higher abundance was observed in the mid bay during August and December 2008 (P < 0.001, d.f. = 2, with χ2 = 17.71 and χ2 = 33.17, respectively). Finally, the abundance values were high at mid and outer bay areas during April 2009 (χ2 = 91.25, d.f. = 2, P < 0.001) (Table 4).

A temporal effect was found for the Shannon-Wiener diversity index (Friedman test, χ2 = 8.20, d.f. = 3, P = 0.042), with the highest value during upwelling season (April 2009) and the lowest value during non-upwelling season (Table 4). This pattern was concordant in high degree across the zones of the bay (Kendall’s concordance: Wt = 0.91). However, a non-temporal trend was found for the equitability (Friedman, χ2 = 1.8, d.f. = 3, P = 0.615) by the low concordance of values between the zones of the bay (Kendall’s concordance: Wt = 0.20) (Table 4). The trend consisted in a decrease of equitability from inner to outside bay (Table 4).

The NMDS (Fig. 3) showed that the biological assemblage composition of samples collected in August was more similar to each other than to samples collected during other periods at the same location. In contrast, high variation was found in the samples collected in April 2009. Dimension 1 of the NMDS revealed the pattern of change in the community from non-upwelling to upwelling season, where the assemblages presented a mid-degree of discrimination between sampling dates (ANOSIM, R = 0.46, P = 0.0004). No difference in the assemblages was found between the start of upwelling season (December) and non-upwelling season (August) (ANOSIM, P > 0.05), but there was degree of discrimination of 0.50-0.59 between the assemblage in the start of upwelling season (December) with the assemblage at the end of the upwelling season (April). Similar situation occurs between assemblages in the non-upwelling and upwelling seasons with a degree of discrimination 0.48 (ANOSIM, P ≤ 0.01).

Fig. 3. MDS to show the similarity between sampling dates and zones of the bay based on their benthic macrofauna. Bahía Salinas, Costa Rica. The ellipses are the convex hull that contains all the samples in the group.

The taxa that changed the most between sampling dates corresponded to two polychaetes: Cirratulidae indet. that had a peak at the upwelling season (April 2009) and the spionid, Paraprionospio pinnata with a peak in December 2007 (Table 5). Both taxa presented their lowest density in August 2008 (non-upwelling season) (Table 5). Additionally, the amphipod indet. A presented low-density values in December 2008, and the polychaete, Aglaophamus verrilli, was more abundant during the non-upwelling season (Table 5).

Table 5 Results of the SIMPER analysis, and individuals per m2 per sampling date in Bahía Salinas, Costa Rica. 

Taxa Feeding guild Overall average dissimilarity Contribution % Cumulative Contribution % Dec. 2007 Aug. 2008 Dec. 2008 Apr. 2009
51.37
Cirratulidae indet. Ds 4.188 8.153 8.153 83 14 73 1062
Paraprinospio pinnata SFp-Ds 3.445 6.707 14.86 402 6 62 147
Amphipoda indet. A Om 2.851 5.55 20.41 290 134 72 117
Sabellidae indet. SFp 2.815 5.48 25.89 73 22 30 280
Aricidea (Acmira) catherinae Dm 1.885 3.67 29.56 71 28 44 235
Apionsoma sp. Dm 1.596 3.106 32.67 20 76 71 87
Prionospio (Minuspio) multibranchiata SFp-Ds 1.572 3.06 35.73 71 0 58 100
Tellinidae indet. (Juvenile) SFa 1.502 2.925 38.65 8 6 0 194
Scolelepis (Scolelepis) squamata SFp 1.117 2.175 40.83 3 0 0 91
Nepthys panamanensis Pm 1.068 2.078 42.9 93 22 24 74
Lumbrineridae indet. B Pm 1.061 2.065 44.97 38 32 18 106
Sigambra tentaculata Pm 1.06 2.064 47.03 0 0 0 95
Armandia brevis Dss 1.045 2.034 49.07 29 6 5 61
Kinbergonuphis microcephala Om 1.037 2.018 51.09 20 14 18 83

The composition of the benthic fauna showed a marked change from inner to outside of the bay (ANOSIM, R= 0.60, P = 0.0001). In the NMDS (Fig. 3) this trend was observed within each sampling date, most notably in April 2009 (average dissimilarity: ad = 69.75, Table 5), followed by December 2007 (ad = 38.85, Table 5) and 2008 (ad = 35.04, Table 6), with the lowest differentiation observed in August 2008 (ad = 21.34, Table 6; Fig. 3).

The taxa that mainly contributed to the spatial change in composition of the assemblages between the zones of the bay are presented in Table 6. In December 2007, the amphipod indet. A and three polychaete taxa had high-density values outside of the bay. Additionally, the spionid Prionospio (Minuspio) multibranchiata had a peak of abundance at mid bay, and P. pinnata also had high abundance at the inner section (Table 6). In August 2008, a sipunculan worm and the onuphid polychaete Kinbergonuphis microcephala presented highest densities at the outside bay. An amphipod and a sabellid polychaete had their highest abundance at mid bay, and the decapod crustacean Malacoplax californiensis showed high densities at the inner bay (Table 6). Samples from December 2007 and December 2008 recovered the same taxa but presented higher densities in different zones of the bay (Table 6). For example, the polychete Aricidea (A.) catherinae and the aforementioned amphipod changed the dominance from outside to mid bay (Table 6).

Table 6 Results of the SIMPER analysis, and individuals per m2 by zone of the bay. Bahía Salinas, Costa Rica. 

Dec 2007 Average dissimilarity 38.85 % Cumulative % Inner Middle Outer
Amphipoda indet. A 5.26 13.54 13.54 40 290 1307
Paraprinospio pinnata 3.90 10.03 23.56 229 184 1362
Aricidea (Acmira) catherinae 2.12 5.46 29.02 11 35 300
Sabellidae indet. 1.84 4.73 33.75 35 53 165
Prionospio (Minuspio) multibranchiata 1.82 4.67 38.42 70 151 25
Aug 2008 Average dissimilarity 21.34 % Cumulative % Inner Middle Outer
Apiosoma sp. 4.48 21.00 21 0 63 1084
Amphipoda indet. A 4.44 20.81 41.81 18 690 43
Malacoplax californiensis 1.42 6.65 48.46 71 0 0
Kinbergonuphis microcephala 0.96 4.50 52.97 0 0 130
Sabellidae indet. 0.90 4.22 57.19 0 79 0
Dec 2008 Average dissimilarity 35.04 % Cumulative % Inner Middle Outer
Aricidea (Acmira) catherinae 2.99 8.52 8.523 0 307 0
Prionospio (Minuspio) multibranchiata 2.20 6.27 14.79 0 43 229
Paraprinospio pinnata 1.91 5.44 20.23 93 71 32
Amphipoda indet. A 1.47 4.21 24.44 18 246 43
Cirratulidae indet. 1.35 3.85 28.29 63 79 79
Apr 2009 Average dissimilarity 69.75 % Cumulative % Inner Middle Outer
Sabellidae indet. 5.88 8.43 8.429 63 141 1690
Goniada sp. A 3.31 4.74 13.17 0 0 332
Armandia brevis 3.22 4.62 17.79 0 32 307
Scolelepis (Scolelepis) squamata 2.42 3.48 21.27 18 141 169
Sigambra tentaculata 2.29 3.29 24.55 32 43 363

Finally, in April 2009 the five taxa that contributed the most to the change in the bay were completely different from previous sampling dates, and the polychaetes presented higher densities outside of the bay (Table 6). Additionally, sabellid worms were the dominant group outside of the bay in that month (Table 6).

The ANOSIM test indicated the change of the feeding guilds composition by sampling dates (R = 0.47, P = 0.001) and zones of the bay (R = 0.34, P = 0.007). The SIMPER test by sampling date indicated that surface deposit feeders, passive suspension feeders, omnivores, and active suspension feeders were the main feeding guilds to explain the changes in the assemblages between sampling dates (Table 7). These groups presented low densities and taxa values during the non-upwelling season, the number of taxa increased at the start of the upwelling season, and the groups reached higher densities during the upwelling season. Among the groups that reached higher densities during the upwelling season, the highest corresponded mainly to the surface deposit feeders and the active suspension feeders. This pattern was present in the rest of the feeding guilds (Table 7). Finally, the assemblage was dominated by omnivores, mobile predators, and deposit feeders with mixed strategies during the non-upwelling season, but their densities were lower than during the upwelling season.

Table 7 Number of taxa (S) and density (D): ind/m2, and % of the community by feeding guilds of the Bahía Salinas. 

Feeding guild SIMPER Species Density (ind/m2)
Av. Dissim. 19.98 Contrib. % Cumulative % Dec 2007 Aug 2008 Dec 2008 Apr 2009 Dec 2007 Aug 2008 Dec 2008 Apr 2009
Ds 4.1 20.5 20.5 8 2 5 6 213 22 169 1404
SFp 3.1 15.6 36.1 7 2 3 5 82 22 30 355
Om 2.0 10.2 46.3 8 5 6 6 539 277 332 800
SFa 1.8 9.2 55.6 6 4 6 6 42 32 68 468
Dm 1.8 9.0 64.6 8 4 5 6 122 196 196 463
Pm 1.7 8.6 73.2 9 5 6 6 705 175 495 967
Dss 1.6 8.0 81.2 6 4 5 5 55 53 54 267
SFp-Ds 1.2 6.1 87.3 6 2 4 3 71 14 61 28
D-Pm 1.1 5.4 92.6 6 4 3 5 59 32 22 112
Pm-Sca 1.0 4.8 97.5 2 1 1 5 7 6 5 108
H 0.5 2.6 100.0 0 0 1 4 0 0 5 53
Feeding guild SIMPER Species Density (ind/m2)
Av. Dissim. 40.16 Contrib. % Cumulative % Inner Middle Outer Total of species Inner Middle Outer Mean density
Ds 3.6 18.8 18.8 6 7 8 9 112 252 474 279
SFp 3.1 16.1 34.9 4 7 6 2 24 100 187 104
Om 2.2 11.7 46.6 8 9 8 56 238 690 620 516
Pm 1.8 9.2 55.8 9 9 8 32 367 474 967 603
Dm 1.7 9.1 64.9 7 8 8 11 129 206 340 225
Dss 1.6 8.2 73.2 5 7 8 17 41 80 167 96
SFa 1.5 7.8 81.0 8 7 7 13 99 65 114 93
SFp-Ds 1.2 6.5 87.5 2 7 6 7 23 62 55 47
D-Pm 1.1 5.8 93.3 4 8 6 2 20 78 74 57
Pm-Sca 0.8 4.3 97.7 2 4 3 6 10 24 32 22
H 0.4 2.3 100.0 1 3 1 2 3 22 6 10

Av. Dissim. = Avarage dissimilarity. Feeding guilds, D: Deposit feeder, s: surface, ss: subsurface, m: mixed; SF: Suspension feeder, a: active, p: passive; Pm: Predator mobile; Sca: Scavenger; Om: Omnivore, H: Herbivore.

The variation of the assemblages between zones of the bay was marked by the surface deposit feeders, passive suspension feeders, omnivores, and mobile predators (Table 7). The general trend was that the density increased from inner to outside bay in the feeding guilds with contribution higher than 8 %. In the rest, the trend was a peak of density at mid bay (Table 7). The number of taxa by feeding guild was less variable between zones of the bay (Table 7).

Discussion

In the present study, the macrofauna had a low diversity and abundance in the non-upwelling season, which increased to a peak with the development of the upwelling season. Lee (1978) also found a change in the subtidal benthos of Panama Bay, concordant with the upwelling seasonality. The opportunist taxa such as spionids and cirratulids polychaetes of the benthos of Bahía Salinas can better utilize the input of food from the high plankton production during the upwelling months, as pointed out by Alongi (1989b) and Alongi (1990) in other localities. In the present study, there was a degree of discrimination (R) of 0.36 in the composition of taxa between December 2007 and December 2008, but the degree of discrimination had lower magnitude (R = 0.17) in the feeding guilds composition between these years.

During the start of the upwelling season (December 2007 and 2008), taxa such as Cirratulidae, Paraprinospio pinnata, Sabellidae, and Amphipoda presented considerable populations in the benthos. At the end of the upwelling season (April 2009), the high abundance of Cirratulidae, Sabellidae, Aricidea, and Tellinidae. This trend highlights the impact of seasonal nutrient influx in both the water and the sediment surface, similar to what occurs during the seasonal upwelling in Las Perlas, Panama Bay, which features comparable assemblage components (Mair et al., 2009). In the case of Kinbergonuphis possiby utilizing the abundance of phyto and zooplankton preys during this period (Checon et al., 2017; Jumars et al., 2015). In contrast, the non-upwelling season (August 2008) showed a decline in these groups, with a shift towards certain taxa such as Amphipoda, Apionsoma, Prionospio, Aricidea and Lumbrineridae that persisted, forming a resilient core that adapts to food availability in the sediment, ensuring the continuity of the assemblage even in less favorable conditions as in other tropical soft bottom assemblages (Tavakoly-Sany et al., 2018). Pacheco et al. (2010) suggested that diverse pathways in the succession process can produce different end points of the communities in subtidal benthos within the same locality. In the present study, year to year, the decline of certain populations during the non-upwelling season results in variable group of survival taxa. This condition allows other taxa to dominate or to be recruited to fill the empty niches resulted in a major taxonomic dissimilarity than the feeding guild dissimilarity.

During the upwelling season, the community was composed mainly of surface deposit feeders (Cirratulidae and Paraonidae worms) and active suspension feeders (tellinid and venerid clams), both in high densities, but both groups decreased during the non-upwelling season. Guzmán-Alvis et al. (2006) indicated that in Bahía Portete in the Colombian Caribbean deposit feeders dominated the fauna during the upwelling season because of the increase in available food on the seabed. This is the case of a Cirratulidae indet. and Aricidea (Acmira) catherinae (surface or mixed deposit feeders), which were within the main contributors to the total abundance during upwelling season, but had low abundance during the non-upwelling season. Similarly, surface deposit feeders accounted for less than a third of the number of polychaete taxa during the non-upwelling season in the Gulf of Panama (Mair et al., 2009). Another opportunist group that decreased drastically during the non-upwelling season were the passive suspension feeders, for example the tube worms (Sabellidae). Lee (1978) also indicated a rapid decrease in benthic biomass of opportunist taxa when primary production dropped during the reduction of the winds, following the upwelling season in Panama Bay. Similar to the present study, Quintana et al., (2015) found that high abundance of macrofauna is the result of the increase in wind velocity and phytoflagellate blooms in a coastal upwelling system in SE Brazil. It is possible that the macrofauna responds positively to the organic matter from the phytoplankton blooms that occur during the upwelling events in this region of Costa Rica (Morales-Ramírez et al., 2016).

Deposit feeders with a mixed strategy (surface and subsurface) such as sipunculans, mobile omnivores (mainly amphipods), and predators (the polychaete Aglaophamus verrilli and the crustancean Malacoplax californiensis) were the remaining fauna during the non-upwelling season. Within the deposit feeders, a few taxa of Ampharetidae, Cirratulidae, Cossuridae, Maldanidae, Spionidae, Paraonidae and Capitellidae persisted in low numbers during the non-upwelling season, because these taxa were able to compete during the period of low food supply. One example was the opportunist capitellid Mediomastus ambiseta, which was found in the non-upwelling season, whilst other capitellids were not recorded. In contrast, other capitellids have not been recorded during this season because these are opportunist taxa (Fauchald & Jumars, 1979), but this pattern could be due to numerous factors, such as nutrient availability, water temperature changes, and variations in granulometry, or biological interactions whether these factors are directly related to upwelling phenomena or not (Alongi, 1990). Graf (1992) pointed out that some infaunal organisms bury for food into the sediment, thus avoiding competition with surface deposit feeders. That food could be used later during a period of scarcity. Additionally, populations that persist through the year (i.e. spionid worms and tellinid bivalves) would have the capacity to use different food sources by switching between surface detritus or suspension feeding when necessary (Cosentino, & Giacobbe, 2008). This could explain in part the coexistence of some subsurface deposit and filter feeders after the upwelling events in the present study.

Finally, the number of taxa varied among zones of the bay in December, but the number of taxa was similar across the bay during August (non-upwelling season) and April (upwelling season). The abundance was low in August and higher during April. The harsh benthic conditions in Bahía Salinas at the beginning of the upwelling season (December), including lower bottom water temperature and lower concentration of dissolved oxygen are similar to those in the Culebra Bay, Gulf of Papagayo (Rixen et al., 2012). These conditions could explain the pattern of spatial variation, as found in other benthic systems (Alongi, 1990; Gray & Elliot, 2009; Mair et al., 2009). Additionally, dry and rainy seasons can influence tropical benthic systems abundance and distribution as in Golfo de Nicoya, Costa Rica (Maurer & Vargas, 1984; Maurer et al., 1988). The abundance and diversity index values were more spatially variable, but results show low equitability in the outside bay. This is the result of several taxa that changed their distribution within the bay through the study period due to differences in the environmental conditions. For example, changes in the dynamic distribution of sediments (data not available), food availability (low during the non-upwelling season, based on chlorophyll concentration), and depth promote the settling, growth, or prevalence of the different benthic populations (Little, 2000). In this way the spatial variability of the assemblages was higher during the upwelling season, and the populations from the outside bay reached maximum density values. Moreover, the spatial pattern of the feeding guilds within the bay was more stable that the taxonomic composition of the assemblage, with an increase of the main feeding guilds from inner to outside bay.

During the upwelling season, the abundance and diversity of benthic communities increased in comparison with the non-upwelling season. The variation in the composition of assemblages and diversity occurs in all the zones of this bay, although the outside bay presents lower values of equitability. During the upwelling season, the community was composed mainly of surface deposit feeders and active suspension feeders. These groups possibly utilize the organic matter that sinks to the bottom, produced by planktonic organisms. At the non-upwelling season, the community was dominated by deposit feeders with a mixed strategy (surface and subsurface), mobile omnivores, and predators.

During the upwelling season in Bahía Salinas, species richness and abundance of benthic fauna peak, likely due to high plankton productivity. In contrast, the non-upwelling season shows a decline in these parameters, shifting from surface deposit and suspension feeders to mixed strategies and omnivore feeders. These findings highlight the dynamic nature of benthic communities, adapting their traits to environmental variations in tropical seasonal upwelling areas.

Ethical statement: the authors declare that they all agree with this publication and made significant contributions; that there is no conflict of interest of any kind; and that we followed all pertinent ethical and legal procedures and requirements. All financial sources are fully and clearly stated in the acknowledgments section. A signed document has been filed in the journal archives.

Acknowledgments

Davis Morera and Eleazar Ruiz helped in the field work. We thank Damien Waits for improving the English of the manuscript. This study is part of the Project 808-A5-037, “Comunidades bentónicas y caracterización física y química de Bahía Salinas” funded by the Vicerrectoría de Investigación, Universidad de Costa Rica.

References

Alfaro, E. J., & Cortés, J. (2012). Atmospheric forcing of cold subsurface water events in Bahía Culebra, Costa Rica. Revista de Biología Tropical, 60(S2), 173-186. https://doi.org/10.15517/rbt.v60i2.20001 [ Links ]

Alfaro, E. J., & Cortés, J. (2021). Forcing of cool and warm subsurface water events in Bahía Salinas, Costa Rica. Revista de Biología Tropical, 69(S2), S127-S141. https://doi.org/10.15517/rbt.v69iSuppl.2.48315 [ Links ]

Alongi, D. M. (1989a). Benthic processes across mixed terrigenous-carbonate sedimentary facies on the central Great Barrier Reef continental shelf. Continental Shelf Research, 9, 629-663. https://doi.org/10.1016/0278-4343(89)90034-4 [ Links ]

Alongi, D. M. (1989b). Ecology of tropical soft-bottom benthos: A review with emphasis on emerging concepts. Revista de Biología Tropical, 37, 85-100. [ Links ]

Alongi, D. M. (1990). The ecology of tropical soft-bottom benthic ecosystems. Oceanography and Marine Biology: An Annual Review, 28, 381-496. [ Links ]

Carlton, J. T. (Ed.). (2007). The Light and Smith manual: intertidal invertebrates from central California to Oregon (4th ed.). University of California Press. [ Links ]

Checon, H. H., Pardo, E. V., & Amaral, A. C. Z. (2017). Breadth and composition of polychaete diets and the importance of diatoms to species and trophic guilds. Helgoland Marine Research, 70, 1-11. https://doi.org/10.1186/s10152-016-0469-4 [ Links ]

Chelton, D. B., Freilich, M. H., & Esbensen, S. K. (2000a). Satellite observations of the wind jets off the Pacific coast of Central America. Part I: Case studies and statistical characteristics. Monthly Weather Review, 128, 1993-2018. https://doi.org/10.1175/1520-0493(2000)128<1993:SOOTWJ>2.0.CO;2 [ Links ]

Chelton, D. B., Freilich, M. H., & Esbensen, S. K. (2000b). Satellite observations of the wind jets off the Pacific coast of Central America. Part II: Regional relationships and dynamical considerations. Monthly Weather Review, 128, 2019-2043. https://doi.org/10.1175/1520-0493(2000)128<2019:SOOTWJ>2.0.CO;2 [ Links ]

Clarke, K. R. (1993). Non-parametric multivariate analyses of changes in community structure. Australian Journal of Ecology, 18, 117-143. https://doi.org/10.1111/j.1442-9993.1993.tb00438.x [ Links ]

Clarke, K. R., & Warwick, R. M. (1994). Change in marine communities: An approach to statistical analysis and interpretation. Bourne, Bournemouth, UK. [ Links ]

Connolly, S. R., & Roughgarden, J. (1999). Theory of marine communities: Competition, predation, and recruitment-dependent interaction strength. Ecological Monographs, 69, 277-296. https://doi.org/10.1890/0012-9615(1999)069(0277:TOMCCP)2.0.CO;2 [ Links ]

Cortés, J., Samper-Villarreal, J., & Bernecker, A. (2014). Seasonal phenology of Sargassum liebmannii J. Agardh (Fucales, Heterokontophyta) in an upwelling area of the Eastern Tropical Pacific. Aquatic Botany, 119, 105-110. https://doi.org/10.1016/j.aquabot.2014.08.009 [ Links ]

Cosentino, A., & Giacobbe, S. (2008). Distribution and functional response of sublittoral soft bottom assemblages to sedimentary constraints. Estuarine, Coastal and Shelf Science, 79, 263-276. https://doi.org/10.1016/j.ecss.2008.04.003 [ Links ]

Dean, H. K. (1998). The Pilargidae (Annelida: Polychaeta) of the Pacific coast of Costa Rica. Revista de Biología Tropical, 46(S6), 47-62. [ Links ]

Dean, H. K. (2001a). Some Nereididae (Annelida: Polychaeta) from the Pacific coast of Costa Rica. Revista de Biología Tropical, 49(S2), 37-67. [ Links ]

Dean, H. K. (2001b). Capitellidae (Annelida: Polychaeta) from the Pacific coast of Costa Rica. Revista de Biología Tropical, 49(S2), 69-84. [ Links ]

de León-González, J. A., Bastida-Zavela, J. R., Carrera-Parra, L. F., García-Garza, M. E., Peña-Rivera, A., Salazar-Vallejo, S. I., & Solís-Weiss, V. (Eds.). (2009). Poliquetos (Annelida: Polychaeta) de México y América Tropical. Universidad Autónoma de Nuevo León, Nuevo León, México. [ Links ]

Escobar-Briones, E. G., & Soto, L. A. (1997). Continental shelf benthic biomass in the western Gulf of Mexico. Continental Shelf Research, 17(6), 585-604. https://doi.org/10.1016/S0278-4343(96)00047-7 [ Links ]

Fauchald, K., & Jumars, P. A. (1979). The diet of worms: A study of polychaete feeding guilds. Oceanography and Marine Biology: An Annual Review, 17, 193-284. [ Links ]

Fischer, W., Krupp, F., Schneider, W., Sommer, C., Carpenter, K. E., & Niem, V. H. (Eds.). (1995). Pacífico centro oriental; Guía FAO para la identificación de especies para los fines de la pesca. Pacífico Centro-Oriental. Vol. I. Plantas e Invertebrados. Food and Agriculture Organization of the United Nations. [ Links ]

Graf, G. (1992). Benthic-pelagic coupling: A benthic view. Oceanography and Marine Biology: An Annual Review, 30, 149-190. [ Links ]

Gray, J. S., & Elliot, M. (2009). Ecology of Marine Sediments: From Science to Management (2nd ed.). Oxford University Press. [ Links ]

Guzmán-Alvis, A., Lattig, P., & Ruiz, J. A. (2006). Spatial and temporal characterization of soft bottom polychaetes in a shallow tropical bay (Colombian Caribbean). Boletín de Investigaciones Marinas y Costeras, 35, 19-36. https://doi.org/10.25268/bimc.invemar.2006.35.0.214 [ Links ]

Hammer, Ø., Harper, D. A. T., & Ryan, P. D. (2001). Past: Paleontological statistics software package for education and data analysis. Palaeontologia Electronica, 4, 1-9. [ Links ]

Hendrickx, M. E. (1997). Los cangrejos braquiuros del Pacífico mexicano (Crustacea: Brachyura: Dromiidae hasta Leucosiidae) (Technical report). Comisión Nacional para el Conocimiento y Uso de la Biodiversidad e Instituto de Ciencias del Mar y Limnología, UNAM, México. [ Links ]

Hendrickx, M. E. (1999). Los cangrejos braquiuros del Pacífico mexicano (Crustacea: Brachyura: Majoidea y Parthenopoidea) (Technical report). Comisión Nacional para el Conocimiento y Uso de la Biodiversidad e Instituto de Ciencias del Mar y Limnología, UNAM, México. [ Links ]

Jumars, P. A., Dorgan, K. M., & Lindsay, S. M. (2015). Diet of worms emended: an update of polychaete feeding guilds. Annual Review of Marine Science, 7(1), 497-520. https://doi.org/10.1146/annurev-marine-010814-020007 [ Links ]

Keen, A. M. (1971). Sea shells of tropical west-America: Marine mollusks from Baja California to Peru. Stanford University Press. [ Links ]

Krebs, C. J. (1999). Ecological Methodology (2nd ed.). Addison-Welsey. [ Links ]

Lee, H. II. (1978). Seasonality, predation and opportunism in high diversity soft-bottom communities in the Gulf of Panama (PhD thesis). University of North Carolina. [ Links ]

Legeckis, R. (1988). Upwelling off the gulfs of Panamá and Papagayo in the tropical Pacific during March 1985. Journal of Geophysics Research, 93, 15489-15489. https://doi.org/10.1029/JC093iC12p15485 [ Links ]

Legendre, P., & Gallagher, E. D. (2001). Ecologically meaningful transformations for ordination of species data. Oecologia, 129, 271-280. https://doi.org/10.1007/s004420100716 [ Links ]

Little, C. (2000). The biology of soft shores and estuaries. Oxford University Press. [ Links ]

Mair, J. M., Cunningham, S. L., Sibaja-Cordero, J. A., Guzman, H. M., Arroyo, M. F., Merino, D., & Vargas, R. (2009). Mapping benthic faunal communities in the shallow and deep sediments of Las Perlas Archipelago, Pacific Panama. Marine Pollution Bulletin, 58(3), 375-383. https://doi.org/10.1016/j.marpolbul.2008.10.015 [ Links ]

McCreary, J. P., Lee, H. S., & Enfield, D. B. (1989). The response of the coastal ocean to strong offshore winds: With application to circulation in the gulfs of Tehuantepec and Papagayo. Journal of Marine Research, 47(1), 81-109. [ Links ]

Maurer, D., & Vargas, J. A. (1984). Diversity of soft-bottom benthos in a tropical estuary: Gulf of Nicoya, Costa Rica. Marine Biology, 81(1), 97-106. https://doi.org/10.1007/BF00397631 [ Links ]

Maurer, D., Vargas, J. A., & Dean, H. K. (1988). Polychaetous annelids from the Gulf of Nicoya, Costa Rica. Internationale Revue der Gesamten Hydrobiologie, 73(1), 43-59. https://doi.org/10.1002/iroh.19880730105 [ Links ]

MacDonald, T. A., Burd, B. J., MacDonald, V. I., & van Roodselaar, A. (2010). Taxonomic and feeding guild classification for the marine benthic macroinvertebrates of the Strait of Georgia, British Columbia. Canadian Technical Reports of Fisheries and Aquatic Sciences. [ Links ]

Menge, B. A., Daley, B. A., Wheeler, P. A., Dahlhoff, E., Sanford, E., & Strub, P. T. (1997). Benthic-pelagic links and rocky intertidal communities: Bottom-up effects on top-down control? Proceedings of the National Academy of Sciences of the United States of America, 94(26), 14530-14535. https://doi.org/10.1073/pnas.94.26.14530 [ Links ]

Menge, B. A., Lubchenco, J., Bracken, M. E. S., Chan, F., Foley, M. M., Freidenburg, T. L., Gaines, S. D., Hudson, G., Krenz, C., Leslie, H., Menge, D. N. L., Russell, R., & Webster, M. S. (2003). Coastal oceanography sets the pace of rocky intertidal community dynamics. Proceedings of the National Academy of Sciences of the United States of America, 100(21), 12229-12234. https://doi.org/10.1073/pnas.1534875100 [ Links ]

Morales-Ramírez, A., Víquez, R., Rodríguez, K., & Vargas, M. (2016). Marea roja producida por Lingulodinium polyedrum (Peridiniales, Dinophyceae) en Bahía Culebra, Golfo de Papagayo, Costa Rica. Revista de Biología Tropical, 49(1), 19-23. [ Links ]

Oksanen, J., Blanchet, F. G., Friendly, M., Kindt, R., Legendre, P., McGlinn, D., Minchin, P., O’Hara, R. B., Simpson, G. L., Solymos, P., Stevens, M. H. H., Szoecs, E., & Wagner, H. (2019). Package ‘vegan’. Community Ecology Package. R package version 2.5-2. https://CRAN.R-project.org/package=vegan [ Links ]

Pacheco, A. S., Laudien, J., Thiel, M., Oliva, M., & Arntz, W. (2010). Succession and seasonal variation in the development of subtidal macrobenthic soft-bottom communities off northern Chile. Journal of Sea Research, 64(3), 180-189. https://doi.org/10.1016/j.seares.2010.02.002 [ Links ]

Phillips, N. E. (2005). Growth of filter-feeding benthic invertebrates from a region with variable upwelling intensity. Marine Ecology Progress Series, 295, 79-89. https://doi.org/10.3354/meps295079 [ Links ]

Posey, M., Powell, C., Cahoon, L., & Lindquist, D. (1995). Top down vs. bottom up control of benthic community composition on an intertidal tideflat. Journal of Experimental Marine Biology and Ecology, 185(1), 19-31. https://doi.org/10.1016/0022-0981(94)00127-Y [ Links ]

Quintana, C. O., Bernardino, A. F., de Moraes, P. C., Valdemarsen, T., & Sumida, P. Y. G. (2015). Effects of coastal upwelling on the structure of macrofaunal communities in SE Brazil. Journal of Marine Systems, 143, 120-129. https://doi.org/10.1016/j.jmarsys.2014.11.003 [ Links ]

Rathbun, M. J. (1918). The grapsoid crabs of America. Bulletin of the United States National Museum, 97, 1-461. [ Links ]

Rixen, T., Jiménez, C., & Cortés, J. (2012). Impact of upwelling events on the sea water carbonate chemistry and dissolved oxygen concentration in the Gulf of Papagayo (Culebra Bay), Costa Rica: Implications for coral reefs. Revista de Biología Tropical, 60(S2), 187-195. https://doi.org/10.15517/rbt.v60i2.20004 [ Links ]

Stuhldreier, I., Sánchez-Noguera, C., Roth, F., Cortés, J., Rixen, T., & Wild, C. (2015). Upwelling increases net primary production of corals and reef-wide gross primary production along the Pacific coast of Costa Rica. Frontiers in Marine Science, 2, 113. https://doi.org/10.3389/fmars.2015.00113 [ Links ]

Sibaja-Cordero, J. A., & Cortés, J. (2008). Vertical zonation of rocky intertidal organisms in a seasonal upwelling area (eastern tropical Pacific). Revista de Biología Tropical, 56(S4), 93-106. https://doi.org/10.15517/rbt.v56i4.27208 [ Links ]

Siegel, S. (1956). Nonparametric Statistics for the Beahavioral Sciences. McGraw-Hill. [ Links ]

Tavakoly-Sany, S. B., Tajfard, M., Hashim, R., Rezayi, M., Rahman, M. A., & Karlen, D. J. (2018). The response of macrobenthic communities to environmental variability in tropical coastal waters. Estuaries and Coasts, 41, 1178-1192. https://doi.org/10.1007/s12237-017-0346-7 [ Links ]

Vargas, J. A. (1987). The benthic community of an intertidal mud flat in the Gulf of Nicoya, Costa Rica. Description of the community. Revista de Biología Tropical, 35, 229-316. [ Links ]

Wicksten, M. K. (1983). Shallow water caridean shrimps of the Gulf of California, México. Allan Hancock Monographs in Marine Biology, 13, 1-59. [ Links ]

Williams, A. (1986). Mud shrimps, Upogebia, from the eastern Pacific (Thalassinoidea: Upogebiidae). San Diego Society of Natural History Memoirs, 14, 1-60. [ Links ]

Witman, J. D. (2007). Benthic-pelagic coupling. In M. W. Denny & S. D. Gaines (Eds.), Encyclopedia of tidepools and rocky shores (pp. 68-71). University of California Press. [ Links ]

Witman, J. D., & Smith, F. (2003). Rapid community change at a tropical upwelling site in the Galapagos Marine Reserve. Biodiversity and Conservation, 12, 25-45. https://doi.org/10.1023/A:1021200831770 [ Links ]

Received: September 04, 2024; Revised: November 18, 2025; Accepted: January 28, 2025

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License