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Journal of Forestry
Article . 2016 . Peer-reviewed
Data sources: Crossref
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Managing Moist Temperate Forests for Bioenergy and Biodiversity

Authors: Heather T. Root; Matthew G. Betts;

Managing Moist Temperate Forests for Bioenergy and Biodiversity

Abstract

Demand for bioenergy is expected to triple by 2050 as a result of policies aimed to improve energy independence and mitigate global climate change. We review forest practices that generate biomass in mesic forests and show that they vary widely in intensity and potential magnitude of the effects on biodiversity. Although increased demand for bioenergy may incentivize maintaining forestland, increasing economic value of woody biomass will probably stimulate more intensive management practices, impacting many species, especially those associated with deadwood. The spatial extent of habitat modification and the type and degree of management will have an impact on populations of sensitive species. We propose preliminary management guidelines to minimize biodiversity impacts and introduce an initial research agenda to test the sensitivity of forest biodiversity to bioenergy practices at multiple scales.

Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: Biomass (ecology) Agroforestry Global warming Forest management Biodiversity Bioenergy Energy independence Environmental science Energy source Temperate rainforest

Keywords

Forestry, Plant Science

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    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).
    16
    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 10%
    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.
    Top 10%
  • 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).
    16
    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 10%
    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.
    Top 10%
    Powered byBIP!BIP!
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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!
16
Top 10%
Average
Top 10%
bronze
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