A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities.
Several hypotheses are used to explain species richness patterns. Some of them (e.g. species-area, species-energy, environment-energy, water-energy, terrestrial primary productivity, environmental spatial heterogeneity, and climatic heterogeneity) are known to explain species richness patterns of te...
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC6145546?pdf=render |
| _version_ | 1818338367186665472 |
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| author | Thiago Bernardi Vieira Carla Simone Pavanelli Lilian Casatti Welber Senteio Smith Evanilde Benedito Rosana Mazzoni Jorge Iván Sánchez-Botero Danielle Sequeira Garcez Sergio Maia Queiroz Lima Paulo Santos Pompeu Carlos Sérgio Agostinho Luciano Fogaça de Assis Montag Jansen Zuanon Pedro De Podestà Uchôa de Aquino Mauricio Cetra Francisco Leonardo Tejerina-Garro Luiz Fernando Duboc Ruanny Casarim Corrêa María Angélica Pérez-Mayorga Gabriel Lourenço Brejão Nadayca Thayane Bonani Mateussi Míriam Aparecida de Castro Rafael Pereira Leitão Fernando Pereira de Mendonça Leandra Rose Palheta da Silva Renata Frederico Paulo De Marco |
| author_facet | Thiago Bernardi Vieira Carla Simone Pavanelli Lilian Casatti Welber Senteio Smith Evanilde Benedito Rosana Mazzoni Jorge Iván Sánchez-Botero Danielle Sequeira Garcez Sergio Maia Queiroz Lima Paulo Santos Pompeu Carlos Sérgio Agostinho Luciano Fogaça de Assis Montag Jansen Zuanon Pedro De Podestà Uchôa de Aquino Mauricio Cetra Francisco Leonardo Tejerina-Garro Luiz Fernando Duboc Ruanny Casarim Corrêa María Angélica Pérez-Mayorga Gabriel Lourenço Brejão Nadayca Thayane Bonani Mateussi Míriam Aparecida de Castro Rafael Pereira Leitão Fernando Pereira de Mendonça Leandra Rose Palheta da Silva Renata Frederico Paulo De Marco |
| author_sort | Thiago Bernardi Vieira |
| collection | DOAJ |
| description | Several hypotheses are used to explain species richness patterns. Some of them (e.g. species-area, species-energy, environment-energy, water-energy, terrestrial primary productivity, environmental spatial heterogeneity, and climatic heterogeneity) are known to explain species richness patterns of terrestrial organisms, especially when they are combined. For aquatic organisms, however, it is unclear if these hypotheses can be useful to explain for these purposes. Therefore, we used a selection model approach to assess the predictive capacity of such hypotheses, and to determine which of them (combined or not) would be the most appropriate to explain the fish species distribution in small Brazilian streams. We perform the Akaike's information criteria for models selections and the eigenvector analysis to control the special autocorrelation. The spatial structure was equal to 0.453, Moran's I, and require 11 spatial filters. All models were significant and had adjustments ranging from 0.370 to 0.416 with strong spatial component (ranging from 0.226 to 0.369) and low adjustments for environmental data (ranging from 0.001 to 0.119) We obtained two groups of hypothesis are able to explain the richness pattern (1) water-energy, temporal productivity-heterogeneity (AIC = 4498.800) and (2) water-energy, temporal productivity-heterogeneity and area (AIC = 4500.400). We conclude that the fish richness patterns in small Brazilian streams are better explained by a combination of Water-Energy + Productivity + Temporal Heterogeneity hypotheses and not by just one. |
| first_indexed | 2024-12-13T15:09:59Z |
| format | Article |
| id | doaj.art-3af554d0b62c4653bfc13de76b9d1139 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-13T15:09:59Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-3af554d0b62c4653bfc13de76b9d11392022-12-21T23:40:54ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01139e020411410.1371/journal.pone.0204114A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities.Thiago Bernardi VieiraCarla Simone PavanelliLilian CasattiWelber Senteio SmithEvanilde BeneditoRosana MazzoniJorge Iván Sánchez-BoteroDanielle Sequeira GarcezSergio Maia Queiroz LimaPaulo Santos PompeuCarlos Sérgio AgostinhoLuciano Fogaça de Assis MontagJansen ZuanonPedro De Podestà Uchôa de AquinoMauricio CetraFrancisco Leonardo Tejerina-GarroLuiz Fernando DubocRuanny Casarim CorrêaMaría Angélica Pérez-MayorgaGabriel Lourenço BrejãoNadayca Thayane Bonani MateussiMíriam Aparecida de CastroRafael Pereira LeitãoFernando Pereira de MendonçaLeandra Rose Palheta da SilvaRenata FredericoPaulo De MarcoSeveral hypotheses are used to explain species richness patterns. Some of them (e.g. species-area, species-energy, environment-energy, water-energy, terrestrial primary productivity, environmental spatial heterogeneity, and climatic heterogeneity) are known to explain species richness patterns of terrestrial organisms, especially when they are combined. For aquatic organisms, however, it is unclear if these hypotheses can be useful to explain for these purposes. Therefore, we used a selection model approach to assess the predictive capacity of such hypotheses, and to determine which of them (combined or not) would be the most appropriate to explain the fish species distribution in small Brazilian streams. We perform the Akaike's information criteria for models selections and the eigenvector analysis to control the special autocorrelation. The spatial structure was equal to 0.453, Moran's I, and require 11 spatial filters. All models were significant and had adjustments ranging from 0.370 to 0.416 with strong spatial component (ranging from 0.226 to 0.369) and low adjustments for environmental data (ranging from 0.001 to 0.119) We obtained two groups of hypothesis are able to explain the richness pattern (1) water-energy, temporal productivity-heterogeneity (AIC = 4498.800) and (2) water-energy, temporal productivity-heterogeneity and area (AIC = 4500.400). We conclude that the fish richness patterns in small Brazilian streams are better explained by a combination of Water-Energy + Productivity + Temporal Heterogeneity hypotheses and not by just one.http://europepmc.org/articles/PMC6145546?pdf=render |
| spellingShingle | Thiago Bernardi Vieira Carla Simone Pavanelli Lilian Casatti Welber Senteio Smith Evanilde Benedito Rosana Mazzoni Jorge Iván Sánchez-Botero Danielle Sequeira Garcez Sergio Maia Queiroz Lima Paulo Santos Pompeu Carlos Sérgio Agostinho Luciano Fogaça de Assis Montag Jansen Zuanon Pedro De Podestà Uchôa de Aquino Mauricio Cetra Francisco Leonardo Tejerina-Garro Luiz Fernando Duboc Ruanny Casarim Corrêa María Angélica Pérez-Mayorga Gabriel Lourenço Brejão Nadayca Thayane Bonani Mateussi Míriam Aparecida de Castro Rafael Pereira Leitão Fernando Pereira de Mendonça Leandra Rose Palheta da Silva Renata Frederico Paulo De Marco A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. PLoS ONE |
| title | A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. |
| title_full | A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. |
| title_fullStr | A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. |
| title_full_unstemmed | A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. |
| title_short | A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities. |
| title_sort | multiple hypothesis approach to explain species richness patterns in neotropical stream dweller fish communities |
| url | http://europepmc.org/articles/PMC6145546?pdf=render |
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