Landscape evolution as a diversification driver in freshwater fishes.

Detalhes bibliográficos
Autor(a) principal: Val, Pedro Fonseca de Almeida e
Data de Publicação: 2022
Outros Autores: Lyons, Nathan J., Gasparini, Nicole M., Willenbring, Jane Kathryn, Albert, James S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFOP
Texto Completo: http://www.repositorio.ufop.br/jspui/handle/123456789/15248
https://doi.org/10.3389/fevo.2021.788328
Resumo: The exceptional concentration of vertebrate diversity in continental freshwaters has been termed the “freshwater fish paradox,” with > 15,000 fish species representing more than 20% of all vertebrate species compressed into tiny fractions of the Earth’s land surface area (<0.5%) or total aquatic habitat volume (<0.001%). This study asks if the fish species richness of the world’s river basins is explainable in terms of river captures using topographic metrics as proxies. The River Capture Hypothesis posits that drainage-network rearrangements have accelerated biotic diversification through their combined effects on dispersal, speciation, and extinction. Yet rates of river capture are poorly constrained at the basin scale worldwide. Here we assess correlations between fish species density (data for 14,953 obligate freshwater fish species) and basin-wide metrics of landscape evolution (data for 3,119 river basins), including: topography (elevation, average relief, slope, drainage area) and climate (average rainfall and air temperature). We assess the results in the context of both static landscapes (e.g., species-area and habitat heterogeneity relationships) and transient landscapes (e.g., river capture, tectonic activity, landscape disequilibrium). We also relax assumptions of functional neutrality of basins (tropical vs. extratropical, tectonically stable vs. active terrains). We found a disproportionate number of freshwater species in large, lowland river basins of tropical South America, Africa, and Southeast Asia, under predictable conditions of large geographic area, tropical climate, low topographic relief, and high habitat volume (i.e., high rainfall rates). However, our results show that these conditions are only necessary, but not fully sufficient, to explain the basins with the highest diversity. Basins with highest diversity are all located on tectonically stable regions, places where river capture is predicted to be most conducive to the formation of high fish species richness over evolutionary timescales. Our results are consistent with predictions of several landscape evolution models, including the River Capture Hypothesis, Mega Capture Hypothesis, and Intermediate Capture Rate Hypothesis, and support conclusions of numerical modeling studies indicating landscape transience as a mechanistic driver of net diversification in riverine and riparian organisms with widespread continental distributions.
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spelling Landscape evolution as a diversification driver in freshwater fishes.Tropical biodiversityRiver captureMacroecology and macroevolutionBiogeographyGeobiologyThe exceptional concentration of vertebrate diversity in continental freshwaters has been termed the “freshwater fish paradox,” with > 15,000 fish species representing more than 20% of all vertebrate species compressed into tiny fractions of the Earth’s land surface area (<0.5%) or total aquatic habitat volume (<0.001%). This study asks if the fish species richness of the world’s river basins is explainable in terms of river captures using topographic metrics as proxies. The River Capture Hypothesis posits that drainage-network rearrangements have accelerated biotic diversification through their combined effects on dispersal, speciation, and extinction. Yet rates of river capture are poorly constrained at the basin scale worldwide. Here we assess correlations between fish species density (data for 14,953 obligate freshwater fish species) and basin-wide metrics of landscape evolution (data for 3,119 river basins), including: topography (elevation, average relief, slope, drainage area) and climate (average rainfall and air temperature). We assess the results in the context of both static landscapes (e.g., species-area and habitat heterogeneity relationships) and transient landscapes (e.g., river capture, tectonic activity, landscape disequilibrium). We also relax assumptions of functional neutrality of basins (tropical vs. extratropical, tectonically stable vs. active terrains). We found a disproportionate number of freshwater species in large, lowland river basins of tropical South America, Africa, and Southeast Asia, under predictable conditions of large geographic area, tropical climate, low topographic relief, and high habitat volume (i.e., high rainfall rates). However, our results show that these conditions are only necessary, but not fully sufficient, to explain the basins with the highest diversity. Basins with highest diversity are all located on tectonically stable regions, places where river capture is predicted to be most conducive to the formation of high fish species richness over evolutionary timescales. Our results are consistent with predictions of several landscape evolution models, including the River Capture Hypothesis, Mega Capture Hypothesis, and Intermediate Capture Rate Hypothesis, and support conclusions of numerical modeling studies indicating landscape transience as a mechanistic driver of net diversification in riverine and riparian organisms with widespread continental distributions.2022-09-13T20:44:50Z2022-09-13T20:44:50Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfVAL, P. F. de A. e. et al. Landscape evolution as a diversification driver in freshwater fishes. Frontiers in Ecology and Evolution, v. 9, jan. 2022. Disponível em: <https://www.frontiersin.org/articles/10.3389/fevo.2021.788328/full>. Acesso em: 29 abr. 2022.2296-701Xhttp://www.repositorio.ufop.br/jspui/handle/123456789/15248https://doi.org/10.3389/fevo.2021.788328This is an openaccess article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. Fonte: o PDF do artigo.info:eu-repo/semantics/openAccessVal, Pedro Fonseca de Almeida eLyons, Nathan J.Gasparini, Nicole M.Willenbring, Jane KathrynAlbert, James S.engreponame:Repositório Institucional da UFOPinstname:Universidade Federal de Ouro Preto (UFOP)instacron:UFOP2022-09-13T20:44:57Zoai:repositorio.ufop.br:123456789/15248Repositório InstitucionalPUBhttp://www.repositorio.ufop.br/oai/requestrepositorio@ufop.edu.bropendoar:32332022-09-13T20:44:57Repositório Institucional da UFOP - Universidade Federal de Ouro Preto (UFOP)false
dc.title.none.fl_str_mv Landscape evolution as a diversification driver in freshwater fishes.
title Landscape evolution as a diversification driver in freshwater fishes.
spellingShingle Landscape evolution as a diversification driver in freshwater fishes.
Val, Pedro Fonseca de Almeida e
Tropical biodiversity
River capture
Macroecology and macroevolution
Biogeography
Geobiology
title_short Landscape evolution as a diversification driver in freshwater fishes.
title_full Landscape evolution as a diversification driver in freshwater fishes.
title_fullStr Landscape evolution as a diversification driver in freshwater fishes.
title_full_unstemmed Landscape evolution as a diversification driver in freshwater fishes.
title_sort Landscape evolution as a diversification driver in freshwater fishes.
author Val, Pedro Fonseca de Almeida e
author_facet Val, Pedro Fonseca de Almeida e
Lyons, Nathan J.
Gasparini, Nicole M.
Willenbring, Jane Kathryn
Albert, James S.
author_role author
author2 Lyons, Nathan J.
Gasparini, Nicole M.
Willenbring, Jane Kathryn
Albert, James S.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Val, Pedro Fonseca de Almeida e
Lyons, Nathan J.
Gasparini, Nicole M.
Willenbring, Jane Kathryn
Albert, James S.
dc.subject.por.fl_str_mv Tropical biodiversity
River capture
Macroecology and macroevolution
Biogeography
Geobiology
topic Tropical biodiversity
River capture
Macroecology and macroevolution
Biogeography
Geobiology
description The exceptional concentration of vertebrate diversity in continental freshwaters has been termed the “freshwater fish paradox,” with > 15,000 fish species representing more than 20% of all vertebrate species compressed into tiny fractions of the Earth’s land surface area (<0.5%) or total aquatic habitat volume (<0.001%). This study asks if the fish species richness of the world’s river basins is explainable in terms of river captures using topographic metrics as proxies. The River Capture Hypothesis posits that drainage-network rearrangements have accelerated biotic diversification through their combined effects on dispersal, speciation, and extinction. Yet rates of river capture are poorly constrained at the basin scale worldwide. Here we assess correlations between fish species density (data for 14,953 obligate freshwater fish species) and basin-wide metrics of landscape evolution (data for 3,119 river basins), including: topography (elevation, average relief, slope, drainage area) and climate (average rainfall and air temperature). We assess the results in the context of both static landscapes (e.g., species-area and habitat heterogeneity relationships) and transient landscapes (e.g., river capture, tectonic activity, landscape disequilibrium). We also relax assumptions of functional neutrality of basins (tropical vs. extratropical, tectonically stable vs. active terrains). We found a disproportionate number of freshwater species in large, lowland river basins of tropical South America, Africa, and Southeast Asia, under predictable conditions of large geographic area, tropical climate, low topographic relief, and high habitat volume (i.e., high rainfall rates). However, our results show that these conditions are only necessary, but not fully sufficient, to explain the basins with the highest diversity. Basins with highest diversity are all located on tectonically stable regions, places where river capture is predicted to be most conducive to the formation of high fish species richness over evolutionary timescales. Our results are consistent with predictions of several landscape evolution models, including the River Capture Hypothesis, Mega Capture Hypothesis, and Intermediate Capture Rate Hypothesis, and support conclusions of numerical modeling studies indicating landscape transience as a mechanistic driver of net diversification in riverine and riparian organisms with widespread continental distributions.
publishDate 2022
dc.date.none.fl_str_mv 2022-09-13T20:44:50Z
2022-09-13T20:44:50Z
2022
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv VAL, P. F. de A. e. et al. Landscape evolution as a diversification driver in freshwater fishes. Frontiers in Ecology and Evolution, v. 9, jan. 2022. Disponível em: <https://www.frontiersin.org/articles/10.3389/fevo.2021.788328/full>. Acesso em: 29 abr. 2022.
2296-701X
http://www.repositorio.ufop.br/jspui/handle/123456789/15248
https://doi.org/10.3389/fevo.2021.788328
identifier_str_mv VAL, P. F. de A. e. et al. Landscape evolution as a diversification driver in freshwater fishes. Frontiers in Ecology and Evolution, v. 9, jan. 2022. Disponível em: <https://www.frontiersin.org/articles/10.3389/fevo.2021.788328/full>. Acesso em: 29 abr. 2022.
2296-701X
url http://www.repositorio.ufop.br/jspui/handle/123456789/15248
https://doi.org/10.3389/fevo.2021.788328
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
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instname:Universidade Federal de Ouro Preto (UFOP)
instacron:UFOP
instname_str Universidade Federal de Ouro Preto (UFOP)
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reponame_str Repositório Institucional da UFOP
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repository.mail.fl_str_mv repositorio@ufop.edu.br
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