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The impact of climate change on forest systems in the northern United States: projections and implications for forest management

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The northern United States is both the most heavily forested and the most densely populated quadrant of the nation. Forests in the region cover 69.6 million hectares, or 42 percent of the land area...
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  • 25 November 2019
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The northern United States is both the most heavily forested and the most densely populated quadrant of the nation. Forests in the region cover 69.6 million hectares, or 42 percent of the land area. In this chapter we characterize mid- and long-term projected climate change impacts for trees and forests of the region. Selected examples at the regional, subregional, and local level suggest some potential pathways for managers seeking to reduce or otherwise mitigate potential impacts on forests. In the medium term (2010-2060), we projected that changes in regional demographic and economic patterns—not in climatic factors themselves—will be the principal influence on these forests. Unless natural disturbance or anthropogenic activities such as biomass harvesting increase considerably, the current middle-aged forest cohort will continue to age with time. Forest types near population centers, such as oak-hickory, are projected to suffer a disproportionate share of land use conversion due to urban and suburban expansion.
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Price: £25.00
Publisher: Burleigh Dodds Science Publishing
Imprint: Burleigh Dodds Science Publishing
Series: Burleigh Dodds Series in Agricultural Science
Publication Date: 25 November 2019
ISBN: 9781786764980
Format: eBook
BISACs:

TECHNOLOGY & ENGINEERING / Agriculture / Forestry, Forestry and silviculture, SCIENCE / Global Warming & Climate Change, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, Forests and woodland, Boreal, coniferous forest, Climate change, Sustainable agriculture

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1 Introduction 2 Climate projections and their influence on forestland trends in the medium term—the Northern Forests Futures Project 3 Methods of projection in the long term: modeling projected changes in habitat and potential migration 4 Ecoregional vulnerability assessments 5 Management implications 6 Conclusion and future trends 7 Acknowledgements 8 References