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Biodiversity in changing environments: An external‐driver internal‐topology framework to guide intervention

doi: 10.1002/ecy.4322
pmid: 39014865
AbstractAccompanying the climate crisis is the more enigmatic biodiversity crisis. Rapid reorganization of biodiversity due to global environmental change has defied prediction and tested the basic tenets of conservation and restoration. Conceptual and practical innovation is needed to support decision making in the face of these unprecedented shifts. Critical questions include: How can we generalize biodiversity change at the community level? When are systems able to reorganize and maintain integrity, and when does abiotic change result in collapse or restructuring? How does this understanding provide a template to guide when and how to intervene in conservation and restoration? To this end, we frame changes in community organization as the modulation of external abiotic drivers on the internal topology of species interactions, using plant–plant interactions in terrestrial communities as a starting point. We then explore how this framing can help translate available data on species abundance and trait distributions to corresponding decisions in management. Given the expectation that community response and reorganization are highly complex, the external‐driver internal‐topology (EDIT) framework offers a way to capture general patterns of biodiversity that can help guide resilience and adaptation in changing environments.
- University of New Orleans United States
- University of California, Irvine United States
- University of California, Riverside United States
- United States Department of the Interior United States
- Agricultural Research Service United States
570, Conservation of Natural Resources, restoration, Life on Land, plant community, Climate Change, 577, Models, Biological, Ecological applications, Models, functional traits, species interactions, Evolutionary Biology, Ecology, environmental climate change, temporal dynamics, coexistence, conservation, Biodiversity, Biological Sciences, Plants, Biological, networks, Ecological Applications, time series, Climate Change Impacts and Adaptation, Zoology, Environmental Sciences
570, Conservation of Natural Resources, restoration, Life on Land, plant community, Climate Change, 577, Models, Biological, Ecological applications, Models, functional traits, species interactions, Evolutionary Biology, Ecology, environmental climate change, temporal dynamics, coexistence, conservation, Biodiversity, Biological Sciences, Plants, Biological, networks, Ecological Applications, time series, Climate Change Impacts and Adaptation, Zoology, Environmental Sciences
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).2 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.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
