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Towards a New Generation of Trait-Flexible Vegetation Models

Plant trait variability, emerging from eco-evolutionary dynamics that range from alleles to macroecological scales, is one of the most elusive, but possibly most consequential, aspects of biodiversity. Plasticity, epigenetics, and genetic diversity are major determinants of how plants will respond to climate change, yet these processes are rarely represented in current vegetation models. Here, we provide an overview of the challenges associated with understanding the causes and consequences of plant trait variability, and review current developments to include plasticity and evolutionary mechanisms in vegetation models. We also present a roadmap of research priorities to develop a next generation of vegetation models with flexible traits. Including trait variability in vegetation models is necessary to better represent biosphere responses to global change.
570, 550, [SDE.MCG]Environmental Sciences/Global Changes, Climate Change, European Cooperation in Science and Technology, eco-evolution, XXXXXX - Unknown, 580, info:eu-repo/classification/ddc/550, ddc:550, Biodiversity, plant genetics, Plants, Biological Evolution, vegetation modeling, Earth sciences, [SDE.MCG] Environmental Sciences/Global Changes, Phenotype, intraspecific variation, plant traits
570, 550, [SDE.MCG]Environmental Sciences/Global Changes, Climate Change, European Cooperation in Science and Technology, eco-evolution, XXXXXX - Unknown, 580, info:eu-repo/classification/ddc/550, ddc:550, Biodiversity, plant genetics, Plants, Biological Evolution, vegetation modeling, Earth sciences, [SDE.MCG] Environmental Sciences/Global Changes, Phenotype, intraspecific variation, plant traits
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).71 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
