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Genetic mixing for population management: From genetic rescue to provenancing

期刊

EVOLUTIONARY APPLICATIONS
卷 14, 期 3, 页码 634-652

出版社

WILEY
DOI: 10.1111/eva.13154

关键词

adaptation; conservation; genetic variation; population size; revegetation

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The diverse strategies for maintaining genetic diversity and adapting to changing environments in animal and plant species are essential for conservation efforts. Interventions involving deliberate movement of genotypes to enhance gene flow are gaining interest, with potential applications at different scales. Understanding mechanisms behind species decline and community impact is crucial for successful implementation of these strategies, with a need to consider risks and trade-offs.
Animal and plant species around the world are being challenged by the deleterious effects of inbreeding, loss of genetic diversity, and maladaptation due to widespread habitat destruction and rapid climate change. In many cases, interventions will likely be needed to safeguard populations and species and to maintain functioning ecosystems. Strategies aimed at initiating, reinstating, or enhancing patterns of gene flow via the deliberate movement of genotypes around the environment are generating growing interest with broad applications in conservation and environmental management. These diverse strategies go by various names ranging from genetic or evolutionary rescue to provenancing and genetic resurrection. Our aim here is to provide some clarification around terminology and to how these strategies are connected and linked to underlying genetic processes. We draw on case studies from the literature and outline mechanisms that underlie how the various strategies aim to increase species fitness and impact the wider community. We argue that understanding mechanisms leading to species decline and community impact is a key to successful implementation of these strategies. We emphasize the need to consider the nature of source and recipient populations, as well as associated risks and trade-offs for the various strategies. This overview highlights where strategies are likely to have potential at population, species, and ecosystem scales, but also where they should probably not be attempted depending on the overall aims of the intervention. We advocate an approach where short- and long-term strategies are integrated into a decision framework that also considers nongenetic aspects of management.

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