Environmental filtering and spatial processes shape the beta diversity of liana communities in a valley savanna in southwest China

2020 ◽  
Vol 23 (4) ◽  
pp. 482-494 ◽  
Author(s):  
Yun‐Bing Zhang ◽  
Huai‐Dong Wu ◽  
Jie Yang ◽  
Xiao‐Yang Song ◽  
Da Yang ◽  
...  
Keyword(s):  
Beta Diversity ◽  
Southwest China ◽  
Environmental Filtering ◽  
Spatial Processes

scholarly journals Environmental filtering and spatial processes in urban riparian forests

2016 ◽  
Vol 27 (5) ◽  
pp. 1023-1035 ◽  
Author(s):  
Marie-Hélène Brice ◽  
Stéphanie Pellerin ◽  
Monique Poulin
Keyword(s):  
Environmental Filtering ◽  
Riparian Forests ◽  
Spatial Processes

Assessing the scale-specific importance of niches and other spatial processes on beta diversity: a case study from a temperate forest

Oecologia ◽  
2008 ◽  
Vol 159 (2) ◽  
pp. 377-388 ◽  
Author(s):  
Etienne Laliberté ◽  
Alain Paquette ◽  
Pierre Legendre ◽  
André Bouchard
Keyword(s):  
Beta Diversity ◽  
Temperate Forest ◽  
Spatial Processes

scholarly journals Identifying the Drivers of Spatial Taxonomic and Functional Beta-Diversity of British Breeding Birds

2021 ◽  
Vol 9 ◽  
Author(s):  
Joseph P. Wayman ◽  
Jonathan P. Sadler ◽  
Thomas A. M. Pugh ◽  
Thomas E. Martin ◽  
Joseph A. Tobias ◽  
...  
Keyword(s):  
Land Use ◽  
Beta Diversity ◽  
Environmental Filtering ◽  
Bird Species ◽  
Predictor Variable ◽  
Dispersal Limitation ◽  
Functional Change ◽  
Pairwise Distance ◽  
Geographical Distance ◽  
Human Influence

Spatial variation in community composition may be driven by a variety of processes, including environmental filtering and dispersal limitation. While work has been conducted on the relative importance of these processes on various taxa and at varying resolutions, tests using high-resolution empirical data across large spatial extents are sparse. Here, we use a dataset on the presence/absence of breeding bird species collected at the 10 km × 10 km scale across the whole of Britain. Pairwise spatial taxonomic and functional beta diversity, and the constituent components of each (turnover and nestedness/richness loss or gain), were calculated alongside two other measures of functional change (mean nearest taxon distance and mean pairwise distance). Predictor variables included climate and land use measures, as well as a measure of elevation, human influence, and habitat diversity. Generalized dissimilarity modeling was used to analyze the contribution of each predictor variable to variation in the different beta diversity metrics. Overall, we found that there was a moderate and unique proportion of the variance explained by geographical distance per se, which could highlight the role of dispersal limitation in community dissimilarity. Climate, land use, and human influence all also contributed to the observed patterns, but a large proportion of the explained variance in beta diversity was shared between these variables and geographical distance. However, both taxonomic nestedness and functional nestedness were uniquely predicted by a combination of land use, human influence, elevation, and climate variables, indicating a key role for environmental filtering. These findings may have important conservation implications in the face of a warming climate and future land use change.

scholarly journals Seasonal variation in the relative importance of assembly processes in marine fish communities as determined by environmental DNA analyses

2021 ◽  
Author(s):  
Naoto Shinohara ◽  
Yuki Hongo ◽  
Momoko Ichinokawa ◽  
Shota Nishijima ◽  
Shuhei Sawayama ◽  
...  
Keyword(s):  
Marine Fish ◽  
Seasonal Changes ◽  
Variation Partitioning ◽  
Environmental Filtering ◽  
Fish Communities ◽  
Environmental Dna ◽  
Compositional Variation ◽  
Short Time Scale ◽  
Relative Importance ◽  
Spatial Processes

Compositional variation among local communities is a result of environmental (e.g., environmental filtering) and spatial (e.g., dispersal limitation) processes. Growing evidence suggests that their relative importance varies temporally, but little is known about the short-time scale dynamics, that is, seasonality. Using marine fish communities in a Japanese bay as a model system, we tested the hypothesis that seasonal changes in the environment induce a shift in the relative importance of environmental and spatial processes. We used one-year monthly monitoring data obtained using environmental DNA and conducted a variation partitioning analysis to decompose the two processes. The relative importance of environmental and spatial processes was comparable averaged over the year but changed seasonally. During summer, when lower dissolved oxygen concentrations may adversely affect organisms, species composition was more explained by space despite larger environmental heterogeneity than in other seasons. This suggests that environmental processes weakened during the season with extremely severe environments, likely due to the random loss of individuals. We conclude that the assembly processes of communities of mobile organisms, such as fishes, can shift even within a year in response to seasonal changes in environmental severity. The results also indicate the applicability of eDNA techniques for community assembly studies.

scholarly journals Determinants of beta diversity: the relative importance of environmental and spatial processes in structuring phytoplankton communities in an Amazonian floodplain

2010 ◽  
Vol 22 (3) ◽  
pp. 247-256 ◽  
Author(s):  
Ina de Souza Nogueira ◽  
João Carlos Nabout ◽  
Maria do Socorro Rodrigues Ibañez ◽  
Laurence Maurice Bourgoin
Keyword(s):  
Beta Diversity ◽  
Relative Importance ◽  
Spatial Processes ◽  
Phytoplankton Communities

Interactive effects of environmental filtering predict beta-diversity patterns in a subtropical forest metacommunity

2015 ◽  
Vol 17 (2) ◽  
pp. 96-106 ◽  
Author(s):  
Anita Stival dos Santos ◽  
Daniel Dutra Saraiva ◽  
Sandra Cristina Müller ◽  
Gerhard Ernst Overbeck
Keyword(s):  
Beta Diversity ◽  
Environmental Filtering ◽  
Subtropical Forest ◽  
Interactive Effects ◽  
Diversity Patterns

scholarly journals The Joint Contributions of Environmental Filtering and Spatial Processes to Macroinvertebrate Metacommunity Dynamics in the Alpine Stream Environment of Baima Snow Mountain, Southwest China

Diversity ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 28
Author(s):  
Muhammad Farooq ◽  
Xianfu Li ◽  
Zhengfei Li ◽  
Ronglong Yang ◽  
Zhen Tian ◽  
...  
Keyword(s):  
Community Ecology ◽  
Community Assembly ◽  
Temporal Dynamics ◽  
Explanatory Power ◽  
Environmental Filtering ◽  
Ecological Factors ◽  
Spatial Processes ◽  
Relative Significance ◽  
Alpine Stream ◽  
Over Time

While macroinvertebrates are extensively investigated in many river ecosystems, meta-community ecology perspectives in alpine streams are very limited. We assessed the role of ecological factors and temporal dynamics in the macroinvertebrate meta-community assembly of an alpine stream situated in a dry-hot valley of Baima Snow Mountain, China. We found that spatial structuring and environmental filtering jointly drive the structure of macroinvertebrate meta-community, with relative contributions to the variance in community composition changing over time. RDA ordination and variation partitioning indicate that environmental variables are the most important predictors of community organization in most scenarios, whereas spatial determinants also play a significant role. Moreover, the explanatory power, identity, and the relative significance of ecological factors change over time. Particularly, in the years 2018 and 2019, stronger environmental filtering was found shaping community assembly, suggesting that deterministic mechanisms predominated in driving community dynamics. However, spatial factors had a stronger predictive power on meta-community structures in 2017, implying conspicuous dispersal mechanisms which may be owing to increased connectivity amongst sites. Thereby, we inferred that the alpine stream macroinvertebrate metacommunity composition can be regulated by the interaction of both spatial processes and environmental filtering, with relative contributions varying over time. Based on these findings, we suggest that community ecology studies in aquatic systems should be designed beyond single snapshot investigations.

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