Analysing the distance decay of community similarity in river networks using Bayesian methods

Abstract The distance decay of community similarity (DDCS) is a pattern that is widely observed in terrestrial and aquatic environments. Niche-based theories argue that species are sorted in space according to their ability to adapt to new environmental conditions. The ecological neutral theory argu...

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Autores principales:	Filipe S. Dias, Michael Betancourt, Patricia María Rodríguez-González, Luís Borda-de-Água
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/bbf96ff6d9f14a2e8ebc3114465028aa
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spelling	oai:doaj.org-article:bbf96ff6d9f14a2e8ebc3114465028aa2021-11-08T10:56:17ZAnalysing the distance decay of community similarity in river networks using Bayesian methods10.1038/s41598-021-01149-x2045-2322https://doaj.org/article/bbf96ff6d9f14a2e8ebc3114465028aa2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01149-xhttps://doaj.org/toc/2045-2322Abstract The distance decay of community similarity (DDCS) is a pattern that is widely observed in terrestrial and aquatic environments. Niche-based theories argue that species are sorted in space according to their ability to adapt to new environmental conditions. The ecological neutral theory argues that community similarity decays due to ecological drift. The continuum hypothesis provides an intermediate perspective between niche-based theories and the neutral theory, arguing that niche and neutral factors are at the opposite ends of a continuum that ranges from competitive to stochastic exclusion. We assessed the association between niche-based and neutral factors and changes in community similarity measured by Sorensen’s index in riparian plant communities. We assessed the importance of neutral processes using network distances and flow connection and of niche-based processes using Strahler order differences and precipitation differences. We used a hierarchical Bayesian approach to determine which perspective is best supported by the results. We used dataset composed of 338 vegetation censuses from eleven river basins in continental Portugal. We observed that changes in Sorensen indices were associated with network distance, flow connection, Strahler order difference and precipitation difference but to different degrees. The results suggest that community similarity changes are associated with environmental and neutral factors, supporting the continuum hypothesis.Filipe S. DiasMichael BetancourtPatricia María Rodríguez-GonzálezLuís Borda-de-ÁguaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Filipe S. Dias Michael Betancourt Patricia María Rodríguez-González Luís Borda-de-Água Analysing the distance decay of community similarity in river networks using Bayesian methods
description	Abstract The distance decay of community similarity (DDCS) is a pattern that is widely observed in terrestrial and aquatic environments. Niche-based theories argue that species are sorted in space according to their ability to adapt to new environmental conditions. The ecological neutral theory argues that community similarity decays due to ecological drift. The continuum hypothesis provides an intermediate perspective between niche-based theories and the neutral theory, arguing that niche and neutral factors are at the opposite ends of a continuum that ranges from competitive to stochastic exclusion. We assessed the association between niche-based and neutral factors and changes in community similarity measured by Sorensen’s index in riparian plant communities. We assessed the importance of neutral processes using network distances and flow connection and of niche-based processes using Strahler order differences and precipitation differences. We used a hierarchical Bayesian approach to determine which perspective is best supported by the results. We used dataset composed of 338 vegetation censuses from eleven river basins in continental Portugal. We observed that changes in Sorensen indices were associated with network distance, flow connection, Strahler order difference and precipitation difference but to different degrees. The results suggest that community similarity changes are associated with environmental and neutral factors, supporting the continuum hypothesis.
format	article
author	Filipe S. Dias Michael Betancourt Patricia María Rodríguez-González Luís Borda-de-Água
author_facet	Filipe S. Dias Michael Betancourt Patricia María Rodríguez-González Luís Borda-de-Água
author_sort	Filipe S. Dias
title	Analysing the distance decay of community similarity in river networks using Bayesian methods
title_short	Analysing the distance decay of community similarity in river networks using Bayesian methods
title_full	Analysing the distance decay of community similarity in river networks using Bayesian methods
title_fullStr	Analysing the distance decay of community similarity in river networks using Bayesian methods
title_full_unstemmed	Analysing the distance decay of community similarity in river networks using Bayesian methods
title_sort	analysing the distance decay of community similarity in river networks using bayesian methods
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/bbf96ff6d9f14a2e8ebc3114465028aa
work_keys_str_mv	AT filipesdias analysingthedistancedecayofcommunitysimilarityinrivernetworksusingbayesianmethods AT michaelbetancourt analysingthedistancedecayofcommunitysimilarityinrivernetworksusingbayesianmethods AT patriciamariarodriguezgonzalez analysingthedistancedecayofcommunitysimilarityinrivernetworksusingbayesianmethods AT luisbordadeagua analysingthedistancedecayofcommunitysimilarityinrivernetworksusingbayesianmethods
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Analysing the distance decay of community similarity in river networks using Bayesian methods

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