Demographic synthesis for global tree species conservation |
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| Affiliation: | 1. German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany;2. Department of Community Ecology, Helmholtz Centre for Environmental Research – UFZ, Halle (Saale), Germany;3. Institute of Biology, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany;4. Department of Integrative Biology, University of Texas at Austin, Austin, TX, USA;5. Forest Global Earth Observatory, Smithsonian Environmental Research Center, Edgewater, MD, USA;6. Department of Biology, University of Oxford, Oxford, UK;7. Department of Economics, University of Leipzig, Leipzig, Germany;8. Smithsonian Tropical Research Institute, Balboa, Ancón, Panama;1. Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil;1. State Key Laboratory of Cotton Bio-breeding and Integrated Utilization, School of Life Sciences and College of Agriculture, Henan University, Kaifeng 475004, China;2. Laboratory of Fundamental and Applied Research in Chemical Ecology, University of Neuchâtel, Neuchâtel 2000, Switzerland;3. State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China;1. Biodiversity Pathways, Wildlife Science Centre, Kelowna, British Columbia, V1V 1V7, Canada;2. University of British Columbia, Department of Biology, Kelowna, British Columbia, V1V 1V7, Canada;3. Canadian Wildlife Service – Pacific Region, Environment and Climate Change Canada, Kelowna, British Columbia, V1V 1V9, Canada;1. Department of Political Science, Umeå University, Umeå, Sweden;2. Department of Geography, Umeå University, Umeå, Sweden;3. Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden;4. Grimsö Wildlife Research Station, Department of Ecology, Swedish University of Agricultural Sciences, Riddarhyttan, Sweden;5. Department of Environmental Science, Kristianstad University, Kristianstad, Sweden;6. Environmental Psychology, Department of Architecture and Built Environment, Lund University, Lund, Sweden;1. Institute at Brown for Environment and Society & Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, RI, USA;2. Institute of Environmental Sciences, University of Geneva, Geneva, Switzerland;3. School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA, USA;1. Invasive Species Working Group, Global Change Center, Fralin Life Sciences Institute, Virginia Tech, Blacksburg, VA, USA;2. School of Public and International Affairs, Virginia Tech, Blacksburg, VA, USA;3. Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA;4. Department of Fish and Wildlife Conservation, Virginia Tech, Blacksburg, VA, USA;5. School of Plant and Environmental Sciences, Virginia Tech, Blacksburg, VA, USA |
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| Abstract: | Conserving the tree species of the world requires syntheses on which tree species are most vulnerable to pressing threats, such as climate change, invasive pests and pathogens, or selective logging. Here, we review the population and forest dynamics models that, when parameterized with data from population studies, forest inventories, or tree rings, have been used for identifying life-history strategies of species and threat-related changes in population demography and dynamics. The available evidence suggests that slow-growing and/or long-lived species are the most vulnerable. However, a lack of comparative, multi-species studies still challenges more precise predictions of the vulnerability of tree species to threats. Improving data coverage for mortality and recruitment, and accounting for interactions among threats, would greatly advance vulnerability assessments for conservation prioritizations of trees worldwide. |
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