Global Change Biology · 2018 · 49 citations · 77 references
Life SciencesBiologyEcologyCommunity EcologyFreshwater EcologyMicrobial EcologyBiodiversityFunctional DiversityMicrobial DiversitySpecies DiversitySpecies RichnessTaxonomic DiversityAlpha DiversityAlpha Diversity PartitioningBacterial Community DynamicsBeta DiversityCommunity Response To Climate ChangeGamma DiversitySpecies TurnoverTop Predator
Global biodiversity is eroding due to anthropogenic causes, such as climate change, habitat loss, and trophic simplification of biological communities. Most studies address only isolated causes within a single group of organisms; however, biological groups of different trophic levels may respond in particular ways to different environmental impacts. Our study used natural microcosms to investigate the predicted individual and interactive effects of warming, changes in top predator diversity, and habitat size on the alpha and beta diversity of macrofauna, microfauna, and bacteria. Alpha diversity (i.e., richness within each bromeliad) generally explained a larger proportion of the gamma diversity (partitioned in alpha and beta diversity). Overall, dissimilarity between communities occurred due to species turnover and not species loss (nestedness). Nevertheless, the three biological groups responded differently to each environmental stressor. Microfauna were the most sensitive group, with alpha and beta diversity being affected by environmental changes (warming and habitat size) and trophic structure (diversity of top predators). Macrofauna alpha and beta diversity was sensitive to changes in predator diversity and habitat size, but not warming. In contrast, the bacterial community was not influenced by the treatments. The community of each biological group was not mutually concordant with the environmental and trophic changes. Our results demonstrate that distinct anthropogenic impacts differentially affect the components of macro and microorganism diversity through direct and indirect effects (i.e., bottom-up and top-down effects). Therefore, a multitrophic and multispecies approach is necessary to assess the effects of different anthropogenic impacts on biodiversity.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Gerard Muyzer, Ellen C. de Waal, André G. Uitterlinden · Applied and Environmental Microbiology · 1993 · 11.5K citations · Full text
The metacommunity concept: a framework for multi‐scale community ecology
Mathew A. Leibold, Marcel Holyoak, Nicolas Mouquet et al. · Ecology Letters · 2004 · 5.4K citations
Global Biodiversity: Indicators of Recent Declines
Stuart H. M. Butchart, Matt Walpole, Ben Collen et al. · Science · 2010 · 4.8K citations · Full text
Public Affairs, Biodiversity Conservation, Environmental Policy +13