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Forest Ecology and Management
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Evolution-based approach needed for the conservation and silviculture of peripheral forest tree populations

Authors: Fady, Bruno; Aravanopoulos, Filippos A.; Alizoti, Paraskevi; Mátyás, Csaba; von Wühlisch, Georg; Westergren, Marjana; Belletti, Piero; +19 Authors

Evolution-based approach needed for the conservation and silviculture of peripheral forest tree populations

Abstract

The fate of peripheral forest tree populations is of particular interest in the context of climate change. These populations may concurrently be those where the most significant evolutionary changes will occur ; those most facing increasing extinction risk ; the source of migrants for the colonization of new areas at leading edges ; or the source of genetic novelty for reinforcing standing genetic variation in various parts of the range. Deciding which strategy to implement for conserving and sustainably using the genetic resources of peripheral forest tree populations is a challenge. Here, we review the genetic and ecological processes acting on different types of peripheral populations and indicate why these processes may be of general interest for adapting forests and forest management to climate change. We particularly focus on peripheral populations at the rear edge of species distributions where environmental challenges are or will become most acute. We argue that peripheral forest tree populations are ‘‘natural laboratories” for resolving priority research questions such as how the complex interaction between demographic processes and natural selection shape local adaptation ; and whether genetic adaptation will be sufficient to allow the long-term persistence of species within their current distribution. Peripheral populations are key assets for adaptive forestry which need specific measures for their preservation. The traditionally opposing views which may exist between conservation planning and sustainable forestry need to be reconciled and harmonized for managing peripheral populations. Based on existing knowledge, we suggest approaches and principles which may be used for the management and conservation of these distinctive and valuable populations, to maintain active genetic and ecological processes that have sustained them over time.

Countries
Italy, Croatia, Croatia, Italy, Italy, France, Netherlands, Finland, United Kingdom, France
Keywords

570, forest tree genetics, ta1172, forest management, 634, Conservation, 333, Ecology and Environment, Geographic distribution range, Geographic distribution range, Forest tree genetics, Ecology, Climate change, Forest management, Conservation, Climate change, 580, [ SDE.BE ] Environmental Sciences/Biodiversity and Ecology, Ecology, Forest management, geographic distribution range ; forest tree genetics ; ecology ; climate change ; forest management ; conservation, conservation, Forest tree genetics, ta4112, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, climate change, geographic distribution range, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, ecology

  • BIP!
    Impact byBIP!
    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).
    97
    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%
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
97
Top 1%
Top 10%
Top 1%
Green
hybrid