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79 results for “environmental filters”
Data from: Dispersal versus environmental filtering in a dynamic system: drivers of vegetation patterns and diversity along stream riparian gradients
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Extinction-immigration dynamics lag behind environmental filtering in shaping the composition of tropical dry forests within a changing landscape
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Data for taxon-dependent effects of dispersal limitation versus environmental filters on bryophyte assemblages―Multiple perspective studies in land-bridge islands
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Data from: Environmental filtering explains variation in plant diversity along resource gradients
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The role of environmental vs. biotic filtering in the structure of European ant communities: a matter of trait type and spatial scale
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Data from: Joint effects of environmental filtering and dispersal limitation on species assemblage of the Tibetan Plateau
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Data from: Habitat diversity associated with island size and environmental filtering control the species richness of rock-savanna plants in neotropical inselbergs
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Environmental filtering and spatial processes shape the beta diversity of liana communities in a valley savanna in Southwest China
<p><b><span>Questions:</span></b> Lianas contribute substantially to diversity and function of ecosystems. What is the relative importance of environmental filtering and spatial processes on structuring liana beta diversity at taxonomic, functional and phylogenetic levels? Is there any synergy between these drivers (environmental factors and spatial distance) on shaping three dimensions of beta diversity in a savanna liana community?</p> <p><b><span>Location:</span></b> A dry-hot valley savanna in Yunnan Province, southwest China.</p> <p><b><span>Methods: </span></b>We established 30 20×20 m plots in the savanna to collect data on the distribution of 22 liana species, 19 functional traits, and plot-level soil nutrients, elevation, and slope. The relative contributions of these environmental factors and spatial distance to liana taxonomic, functional and phylogenetic dissimilarity were analyzed using multiple regression on distance matrices. We also tested which environmental factors influence the beta diversity of liana community using permutational multivariate analysis of variance.</p> <p><b><span>Results: </span></b>Both environmental and spatial distances were significantly correlated with taxonomic, functional and phylogenetic dissimilarity. Spatial distance explained more variation in taxonomic beta diversity than environmental factors. But for both nearest neighbor functional and phylogenetic distance <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, environment explained a relatively higher variation than space did. Moreover, the proportion explained by environmental variables was ranked in decreasing order as follows: functional <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, phylogenetic <i><span>D</span></i><i><sub><span><span>nn</span></span></sub></i><sub><span>'</span></sub>, and taxonomic beta diversity. We found soil pH had the highest contribution to taxonomic and functional beta diversity, while soil total nitrogen contributed most to phylogenetic beta diversity.</p> <p><b><span>Conclusions: </span></b>This study revealed that liana taxonomic, functional and phylogenetic beta diversity in the study hot-dry savanna ecosystem are affected and maintained by both environmental filtering and spatial processes. Moreover, the functional and phylogenetic diversities were more strongly subject to environmental filtering. Our study provides the information on mechanisms underlying liana diversity maintenance in savanna, which are necessary to inform conservation management in this vulnerable ecosystem. </p>
Raw data associated to the paper "Analysis of species pair associations combined with functional traits reveals the effects of environmental filtering and biotic interactions in an unmanaged temperate forest"
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Supplementary material 5 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Alternative statistical model :
Supplementary material 4 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
4_NTC :
Supplementary material 2 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Bioinformatic pipeline and thresholds :
Supplementary material 3 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Profiling tables for all libraries :
Supplementary material 1 from: Deiner K, Lopez J, Bourne S, Holman LE, Seymour M, Grey EK, Lacoursière-Roussel A, Li Y, Renshaw MA, Pfrender ME, Rius M, Bernatchez L, Lodge DM (2018) Optimising the detection of marine taxonomic richness using environmental DNA metabarcoding: the effects of filter material, pore size and extraction method. Metabarcoding and Metagenomics 2: e28963. https://doi.org/10.3897/mbmg.2.28963
Extraction protocols :
Environmental filters of freshwater fish community assembly along elevation and latitudinal gradients
Aim <p>The aim was to identify drivers of historical freshwater fish community assembly by testing for interactions between functional traits and two climatic gradients, namely elevation and latitude. Many studies conclude that environmental filtering is the dominant process of community-wide trait convergence at high elevations and high latitudes, but a full understanding of which specific filters cause trait convergence is lacking.</p> Location <p>Great Plains–Rocky Mountains, USA.</p> Time period <p>1960–2018.</p> Major taxa studied <p>Freshwater fish.</p> Methods <p>Using 2,539 stream fish community surveys documenting the native distributions of 51 species, we evaluated trait–environment relationships (trade-offs) and trait–dispersion relationships (standardized effect sizes from null models) along elevation and latitudinal gradients in four functional trait categories. We tested whether elevation and latitude exhibited similar trait–environment and trait–dispersion relationships using four functional trait categories (life history, habitat, trophic and locomotion). We predicted that elevation and latitude would have similar relationships owing to shared environmental filters of cold stress and dispersal constraints.</p> Results <p>Life history was the only trait category to display evidence of increased environmental filtering along both gradients, with trait dispersion more constrained at high elevations and high latitudes. Trade-offs revealed that periodic strategies (high fecundity, low juvenile survivorship) decreased with elevation and increased with latitude, whereas equilibrium strategies (low fecundity, high juvenile survivorship) declined along both gradients. Despite the observation of predictable trade-offs for habitat, trophic and locomotion trait strategies, there was little evidence for environmental filtering of these traits at high elevations and high latitudes.</p> Main conclusions <p>Elevation and latitude appear to be environmental filters of freshwater fish community assembly when mediated through life-history strategies, which is likely to be attributable to thermal constraints on growth and reproduction. Our results support the role of environmental filtering in trait convergence patterns along climatic gradients, and we identify cold stress as one specific filter of community assembly.</p>
Environmental filters of freshwater fish community assembly along elevation and latitudinal gradients
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Environmental filtering and spatial processes shape the beta diversity of liana communities in a valley savanna in Southwest China
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Supporting data and code for "The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community".
<p>R code and dataset for: Menegotto A., Dambros C.S. & Netto S.A. 2019. The scale-dependent effect of environmental filters on species turnover and nestedness in an estuarine benthic community. Ecology, 100, e02721.</p>
Decreasing Environmental Impact and Costs of Using Inhalational Anesthetic With a Carbon Dioxide Membrane Filter System
ClinicalTrials.gov study NCT04210570. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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International Brain Laboratory public data
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OpenNeuro
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