scholarly journals High beta diversity among small islands is due to environmental heterogeneity rather than ecological drift

2018 ◽  
Vol 45 (10) ◽  
pp. 2252-2261 ◽  
Author(s):  
Jinliang Liu ◽  
Mark Vellend ◽  
Zuhua Wang ◽  
Mingjian Yu

2009 ◽  
Vol 87 (8) ◽  
pp. 699-707 ◽  
Author(s):  
T. S. Vasconcelos ◽  
T. G. Santos ◽  
D. C. Rossa-Feres ◽  
C.F.B Haddad

We hypothesized that the environmental heterogeneity of breeding ponds influences the species composition and species richness of anuran assemblages from southeastern Brazil, because it provides humidity, shelter, and breeding microhabitats for anuran species, which can result in an increasing number of species in a given habitat. To begin, we tested whether the occurrence of anuran species in each breeding pond is different from a null model of random placement of species in those ponds. We then performed two tests to evaluate which of the five environmental descriptors of breeding ponds influence (1) the species composition and (2) species richness. Species composition of the 38 breeding ponds was correlated with number of edge types, number of plant types along the edges of the breeding ponds, and the hydroperiod. Neither the percentage of vegetation cover on the water’s surface nor the size of the breeding ponds were correlated with species composition. Only the number of edge types was correlated with species richness of breeding ponds. The correlation of three environmental descriptors with species composition and one environmental descriptor with species richness, as well as the high beta diversity among breeding ponds, suggest that the analyses of environmental heterogeneity on species composition was more informative than was the analysis for species richness, because breeding ponds with similar species richness can have distinct species composition among them (high beta diversity).



2021 ◽  
Author(s):  
William Godsoe ◽  
Peter J Bellingham ◽  
Elena Moltchanova

Beta diversity describes the differences in species composition among communities. Changes in beta diversity over time are thought to be due to selection based on species' niche characteristics. For example, theory predicts that selection that favours habitat specialists will increase beta diversity. In practice, ecologists struggle to predict how beta diversity changes. To remedy this problem, we propose a novel solution that formally measures selection's effects on beta diversity. Using the Price equation, we show how change in beta diversity over time can be partitioned into fundamental mechanisms including selection among species, variable selection among communities, drift, and immigration. A key finding of our approach is that a species' short-term impact on beta diversity cannot be predicted using information on its long-term environmental requirements (i.e. its niche). We illustrate how our approach can be used to partition causes of diversity change in a montane tropical forest before and after an intense hurricane. Previous work in this system highlighted the resistance of habitat specialists and the recruitment of light-demanding species but was unable to quantify the importance of these effects on beta diversity. Using our approach, we show that changes in beta diversity were consistent with ecological drift. We use these results to highlight the opportunities presented by a synthesis of beta diversity and formal models of selection.



Author(s):  
Christopher W. Dick ◽  
Richard Condit ◽  
Eldridge Bermingham


2017 ◽  
Vol 37 (2) ◽  
Author(s):  
王金旺 WANG Jinwang ◽  
魏馨 WEI Xin ◽  
陈秋夏 CHEN Qiuxia ◽  
李效文 LI Xiaowen ◽  
杨升 YANG Sheng


2008 ◽  
Vol 10 (10) ◽  
pp. 2537-2549 ◽  
Author(s):  
Jianjun Wang ◽  
Yucheng Wu ◽  
Hongchen Jiang ◽  
Chunhai Li ◽  
Hailiang Dong ◽  
...  


2020 ◽  
Author(s):  
Joeselle M. Serrana ◽  
Bin Li ◽  
Tetsuya Sumi ◽  
Yasuhiro Takemon ◽  
Kozo Watanabe

AbstractBackgroundRiver restoration efforts are expected to influence and change the diversity and functions of microbial communities following the recovery of habitat characteristics in the river ecosystem. The recreation or restoration of gravel bars in the Trinity River in California aims to rehabilitate the environmental heterogeneity downstream of the dam impounded channel. Here, we profiled the community composition, estimated diversity, and annotated putative metabolic functions of the sediment microbial communities to assess whether the construction and restoration of gravel bars in the Trinity River in California enhanced environmental heterogeneity, with the increase in the microbial beta diversity of these in-channel structures against the free-flowing reach of the main channel with comparison to its undisturbed tributaries.ResultsMicrobial community composition of the free-flowing (i.e., no gravel bars) communities were relatively closer regardless of dam influence, whereas the Trinity River gravel bar and tributaries’ gravel bar communities were highly dissimilar. Proteobacteria, Bacteroidetes, and Acidobacteria were the highly abundant sediment microbial phyla on most sites, specifically in the Trinity River gravel bar communities. Putative functional annotation of microbial taxa revealed that chemoheterotrophy and aerobic chemoheterotrophy were the most prevalent microbial processes, with the Trinity River gravel bars having relatively higher representations. The considerably large abundance of heterotrophic taxa implies that gravel bars provide suitable areas for heterotrophic microorganisms with metabolic functions contributing to the net respiration in the river.ConclusionsOur results provide supporting evidence on the positive impact of habitat restoration being conducted in the Trinity River with the non-dam influenced, undisturbed tributaries as the basis of comparison. Gravel bar recreation and restoration contributed to the increased microbial biodiversity through the restoration of environmental heterogeneity at the river scale. We provided valuable insights into the potential microbial processes in the sediment that might be contributing to the biogeochemical processes carried out by the microbial communities in the Trinity River. The significant positive correlation between the functional diversity of the identified microbial taxa and beta diversity suggests that differences in the detected metabolic functions were closely related to dissimilarities in community composition.



2017 ◽  
Vol 44 (8) ◽  
pp. 1758-1769 ◽  
Author(s):  
Janne Alahuhta ◽  
Sarian Kosten ◽  
Munemitsu Akasaka ◽  
Dominique Auderset ◽  
Mattia M. Azzella ◽  
...  


2010 ◽  
Vol 19 (6) ◽  
pp. 886-894 ◽  
Author(s):  
Heidi Viljanen ◽  
Federico Escobar ◽  
Ilkka Hanski


Author(s):  
Escarlett de Arruda Ramos ◽  
Adriana Tiemi Ramos Okumura ◽  
Allison Gonçalves Silva ◽  
Tiago Leão Pereira ◽  
Nadson Ressyé Simões


2016 ◽  
Vol 7 ◽  
Author(s):  
Christopher J. Barnes ◽  
Carla Maldonado ◽  
Tobias G. Frøslev ◽  
Alexandre Antonelli ◽  
Nina Rønsted


Sign in / Sign up

Export Citation Format

Share Document