Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes

Detalhes bibliográficos
Autor(a) principal: Pelicice,Fernando Mayer
Data de Publicação: 2008
Outros Autores: Thomaz,Sidinei Magela, Agostinho,Angelo Antonio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Neotropical ichthyology (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252008000400001
Resumo: Submerged macrophytes play an important role in structuring habitats and, therefore, in determining patterns of aquatic biodiversity. Because these plants are widespread in shallow areas of many Neotropical reservoirs, the present work investigated if variables related to habitat structure, measured in patches of submerged macrophytes (Egeria densa and E. najas), can be used to predict fish assemblage attributes (fish density and species richness). Based on patch characteristics at fine spatial extents (macrophyte patches within reservoir arms), we considered plant biomass, volume and proportional volume (i.e. percentage of macrophyte volume in the water column) as potential predictors. Fish and macrophytes were sampled with a 1-m² throw trap in littoral habitats of Rosana Reservoir, Paranapanema River, and simple correlation analyses were performed. Fish richness and abundance were highly correlated with all variables (R = 0.53 to 0.90), a relationship consistently observed in all sites. When compared to biomass, plant volume and proportional volume did not yield stronger correlations. We observed stronger correlations when E. densa and E. najas patches were analyzed separately (mono-specificity), probably because particular effects of each macrophyte on habitat structuring were removed (e.g. unnoticed morphological differences or unknown effects on habitat quality). The high R values observed in all pairwise relationships are uncommon in ecological studies, highlighting the predictive potential of variables related to habitat structure. These results suggest that, at small spatial extents, macrophyte biomass may represent an interesting predictor of fish density and richness in reservoirs with extensive colonization of submerged plants.
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spelling Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytesAquatic plantsHabitat structurePredictive ecologyVariabilityTropical reservoirSubmerged macrophytes play an important role in structuring habitats and, therefore, in determining patterns of aquatic biodiversity. Because these plants are widespread in shallow areas of many Neotropical reservoirs, the present work investigated if variables related to habitat structure, measured in patches of submerged macrophytes (Egeria densa and E. najas), can be used to predict fish assemblage attributes (fish density and species richness). Based on patch characteristics at fine spatial extents (macrophyte patches within reservoir arms), we considered plant biomass, volume and proportional volume (i.e. percentage of macrophyte volume in the water column) as potential predictors. Fish and macrophytes were sampled with a 1-m² throw trap in littoral habitats of Rosana Reservoir, Paranapanema River, and simple correlation analyses were performed. Fish richness and abundance were highly correlated with all variables (R = 0.53 to 0.90), a relationship consistently observed in all sites. When compared to biomass, plant volume and proportional volume did not yield stronger correlations. We observed stronger correlations when E. densa and E. najas patches were analyzed separately (mono-specificity), probably because particular effects of each macrophyte on habitat structuring were removed (e.g. unnoticed morphological differences or unknown effects on habitat quality). The high R values observed in all pairwise relationships are uncommon in ecological studies, highlighting the predictive potential of variables related to habitat structure. These results suggest that, at small spatial extents, macrophyte biomass may represent an interesting predictor of fish density and richness in reservoirs with extensive colonization of submerged plants.Sociedade Brasileira de Ictiologia2008-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252008000400001Neotropical Ichthyology v.6 n.4 2008reponame:Neotropical ichthyology (Online)instname:Sociedade Brasileira de Ictiologia (SBI)instacron:SBI10.1590/S1679-62252008000400001info:eu-repo/semantics/openAccessPelicice,Fernando MayerThomaz,Sidinei MagelaAgostinho,Angelo Antonioeng2009-01-22T00:00:00Zoai:scielo:S1679-62252008000400001Revistahttp://www.ufrgs.br/ni/https://old.scielo.br/oai/scielo-oai.php||neoichth@nupelia.uem.br1982-02241679-6225opendoar:2009-01-22T00:00Neotropical ichthyology (Online) - Sociedade Brasileira de Ictiologia (SBI)false
dc.title.none.fl_str_mv Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
title Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
spellingShingle Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
Pelicice,Fernando Mayer
Aquatic plants
Habitat structure
Predictive ecology
Variability
Tropical reservoir
title_short Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
title_full Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
title_fullStr Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
title_full_unstemmed Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
title_sort Simple relationships to predict attributes of fish assemblages in patches of submerged macrophytes
author Pelicice,Fernando Mayer
author_facet Pelicice,Fernando Mayer
Thomaz,Sidinei Magela
Agostinho,Angelo Antonio
author_role author
author2 Thomaz,Sidinei Magela
Agostinho,Angelo Antonio
author2_role author
author
dc.contributor.author.fl_str_mv Pelicice,Fernando Mayer
Thomaz,Sidinei Magela
Agostinho,Angelo Antonio
dc.subject.por.fl_str_mv Aquatic plants
Habitat structure
Predictive ecology
Variability
Tropical reservoir
topic Aquatic plants
Habitat structure
Predictive ecology
Variability
Tropical reservoir
description Submerged macrophytes play an important role in structuring habitats and, therefore, in determining patterns of aquatic biodiversity. Because these plants are widespread in shallow areas of many Neotropical reservoirs, the present work investigated if variables related to habitat structure, measured in patches of submerged macrophytes (Egeria densa and E. najas), can be used to predict fish assemblage attributes (fish density and species richness). Based on patch characteristics at fine spatial extents (macrophyte patches within reservoir arms), we considered plant biomass, volume and proportional volume (i.e. percentage of macrophyte volume in the water column) as potential predictors. Fish and macrophytes were sampled with a 1-m² throw trap in littoral habitats of Rosana Reservoir, Paranapanema River, and simple correlation analyses were performed. Fish richness and abundance were highly correlated with all variables (R = 0.53 to 0.90), a relationship consistently observed in all sites. When compared to biomass, plant volume and proportional volume did not yield stronger correlations. We observed stronger correlations when E. densa and E. najas patches were analyzed separately (mono-specificity), probably because particular effects of each macrophyte on habitat structuring were removed (e.g. unnoticed morphological differences or unknown effects on habitat quality). The high R values observed in all pairwise relationships are uncommon in ecological studies, highlighting the predictive potential of variables related to habitat structure. These results suggest that, at small spatial extents, macrophyte biomass may represent an interesting predictor of fish density and richness in reservoirs with extensive colonization of submerged plants.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252008000400001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-62252008000400001
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1679-62252008000400001
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Ictiologia
publisher.none.fl_str_mv Sociedade Brasileira de Ictiologia
dc.source.none.fl_str_mv Neotropical Ichthyology v.6 n.4 2008
reponame:Neotropical ichthyology (Online)
instname:Sociedade Brasileira de Ictiologia (SBI)
instacron:SBI
instname_str Sociedade Brasileira de Ictiologia (SBI)
instacron_str SBI
institution SBI
reponame_str Neotropical ichthyology (Online)
collection Neotropical ichthyology (Online)
repository.name.fl_str_mv Neotropical ichthyology (Online) - Sociedade Brasileira de Ictiologia (SBI)
repository.mail.fl_str_mv ||neoichth@nupelia.uem.br
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