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NON-STATIONARY IN DISTRIBUTION OF FISH SPECIES RICHNESS IN TROPICAL STREAMS
  • +19
  • Thiago Bernardi Vieira,
  • Jorge Iván Botero,
  • Danielle Garcez,
  • Sergio Lima,
  • Carla Simone Pavanelli,
  • Lilian Casatti,
  • Welber Smith,
  • Evanilde Benedito-Cecilio,
  • Rosana Mazzoni,
  • Paulo Pompeu,
  • Carlos Sérgio Agostinho,
  • Luciano Mantag,
  • Jansen Zuanon,
  • Pedro Aquino,
  • Mauricio Cetra,
  • Sndressa Sasha Alves,
  • Francisco Leonardo Garro,
  • Luiz Fernando Duboc,
  • María Angélica Pérez-Mayorga,
  • Nadayca Thayane Mateussi,
  • Rafael P. Leitao,
  • Paulo De Marco Júnior
Thiago Bernardi Vieira
Universidade Federal do Pará - Campus Altamira, NYU Center for Urban Science & Progress
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Jorge Iván Botero
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Danielle Garcez
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Sergio Lima
Universidade Federal do Rio Grande do Norte
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Carla Simone Pavanelli
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Lilian Casatti
Universidade Estadual Paulista Julio de Mesquita Filho - Campus de Sao Jose do Rio Preto
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Welber Smith
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Evanilde Benedito-Cecilio
UEM
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Rosana Mazzoni
UERJ
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Paulo Pompeu
Universidade Federal de Lavras
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Carlos Sérgio Agostinho
UFT
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Luciano Mantag
UFPA
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Jansen Zuanon
Instituto Nacional de Pesquisas da Amazônia
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Pedro Aquino
Universidade de Brasília
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Mauricio Cetra
UFSCar
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Sndressa Sasha Alves
UFPA
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Francisco Leonardo Garro
Pontifícia Universidade Católica de Goiás
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Luiz Fernando Duboc
UFES
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María Angélica Pérez-Mayorga
UNESP
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Nadayca Thayane Mateussi
UNESP
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Rafael P. Leitao
UFMG
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Paulo De Marco Júnior
UFG
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Abstract

Diversity gradients are observed in various groups of organisms. For fishes in streams, the Water-Energy, Productivity and Temporal Heterogeneity hypotheses are considered the best combination to explain richness patterns. The relationship between species diversity and the variables that represent the hypotheses are generally considered linear and stationary, that is, there is equal relation of cause and effect along an entire geographical extension. The assumption of stationarity has not been tested or even observed in diversity gradients, thus producing imprecise models. Therefore, our goal is to quantify stationarity in the existing relationships between the ichthyofauna of streams and the Water-Energy, Productivity and Temporal Heterogeneity hypotheses using a Geographically Weighted Regression – GWR. In the proposed model, there is conspicuous absence of stationarity between fish species richness and the tested hypotheses. Furthermore, water-energy dynamics were observed as a possible metabolic restriction mechanism acting on the community structuring of stream fishes. This mechanism divides the fish fauna from the studied Brazilian watercourses in two regions: i) Amazonian, characterized by a stable climate and populations with little resistance to thermal variation; and ii) Central, featured by greater ranges of temperature and fish populations resistant to thermal variation.