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Building evolutionary resilience for conserving biodiversity under climate change

AbstractEvolution occurs rapidly and is an ongoing process in our environments. Evolutionary principles need to be built into conservation efforts, particularly given the stressful conditions organisms are increasingly likely to experience because of climate change and ongoing habitat fragmentation. The concept of evolutionary resilience is a way of emphasizing evolutionary processes in conservation and landscape planning. From an evolutionary perspective, landscapes need to allow in situ selection and capture high levels of genetic variation essential for responding to the direct and indirect effects of climate change. We summarize ideas that need to be considered in planning for evolutionary resilience and suggest how they might be incorporated into policy and management to ensure that resilience is maintained in the face of environmental degradation.
- University of Melbourne Australia
- University of Adelaide Australia
- Monash University, Clayton campus Australia
- University of Adelaide Australia
- University North Croatia
evolutionary resilience, 570, 330, conservation, genetic diversity, 333, climate change, adaptive potential, evolution, Perspective, biodiversity
evolutionary resilience, 570, 330, conservation, genetic diversity, 333, climate change, adaptive potential, evolution, Perspective, biodiversity
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).640 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 0.1% 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 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
