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      Multiple components of plant diversity loss determine herbivore phylogenetic diversity in a subtropical forest experiment

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          Opposing effects of competitive exclusion on the phylogenetic structure of communities.

          Though many processes are involved in determining which species coexist and assemble into communities, competition is among the best studied. One hypothesis about competition's contribution to community assembly is that more closely related species are less likely to coexist. Though empirical evidence for this hypothesis is mixed, it remains a common assumption in certain phylogenetic approaches for inferring the effects of environmental filtering and competitive exclusion. Here, we relate modern coexistence theory to phylogenetic community assembly approaches to refine expectations for how species relatedness influences the outcome of competition. We argue that two types of species differences determine competitive exclusion with opposing effects on relatedness patterns. Importantly, this means that competition can sometimes eliminate more different and less related taxa, even when the traits underlying the relevant species differences are phylogenetically conserved. Our argument leads to a reinterpretation of the assembly processes inferred from community phylogenetic structure.
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            Plant Diversity and Productivity Experiments in European Grasslands

            A. Hector (1999)
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              Ecological Niches and Geographic Distributions (MPB-49)

              This book provides a first synthetic view of an emerging area of ecology and biogeography, linking individual- and population-level processes to geographic distributions and biodiversity patterns. Problems in evolutionary ecology, macroecology, and biogeography are illuminated by this integrative view. The book focuses on correlative approaches known as ecological niche modeling, species distribution modeling, or habitat suitability modeling, which use associations between known occurrences of species and environmental variables to identify environmental conditions under which populations can be maintained. The spatial distribution of environments suitable for the species can then be estimated: a potential distribution for the species. This approach has broad applicability to ecology, evolution, biogeography, and conservation biology, as well as to understanding the geographic potential of invasive species and infectious diseases, and the biological implications of climate change. The book lays out conceptual foundations and general principles for understanding and interpreting species distributions with respect to geography and environment. Focus is on development of niche models. While serving as a guide for students and researchers, the book also provides a theoretical framework to support future progress in the field.

                Author and article information

                Journal of Ecology
                J Ecol
                September 11 2019
                November 2019
                September 11 2019
                November 2019
                : 107
                : 6
                : 2697-2712
                [1 ]Key Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China
                [2 ]University of Chinese Academy of Sciences Beijing China
                [3 ]Forest Nature Conservation Georg‐August‐University Goettingen Goettingen Germany
                [4 ]Institute of Biology/Geobotany and Botanical Garden Martin Luther University Halle‐Wittenberg Halle Germany
                [5 ]German Centre for Integrative Biodiversity Research (iDiv) Halle‐Jena‐Leipzig Leipzig Germany
                [6 ]Department of Community Ecology Helmholtz Centre for Environmental Research – UFZ Halle Germany
                [7 ]College of Plant Protection Yunnan Agricultural University Kunming China
                [8 ]Institute of Ecology Leuphana University of Lüneburg Lüneburg Germany
                [9 ]Institute of Botany Chinese Academy of Sciences Beijing China
                [10 ]Department of Geography University of Zurich Zurich Switzerland
                [11 ]Institute of Ecology College of Urban and Environmental Sciences Peking University Beijing China
                [12 ]Institute of General Ecology and Environmental Protection Technische Universität Dresden Tharandt Germany
                [13 ]State Key Laboratory of Integrated Pest Management Institute of Zoology Chinese Academy of Sciences Beijing China
                © 2019





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