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Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States
As the demand for forest products and carbon storage in standing timbers increases, intensive planting of forest resources is expected to increase. With the increased use of plantation practices, it is important to understand the influence that forest plot characteristics have on the likelihood of w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061452/ https://www.ncbi.nlm.nih.gov/pubmed/32153304 http://dx.doi.org/10.1093/jofore/fvz054 |
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author | Wade, Christopher M. Baker, Justin S. Latta, Gregory Ohrel, Sara B. Allpress, Justine |
author_facet | Wade, Christopher M. Baker, Justin S. Latta, Gregory Ohrel, Sara B. Allpress, Justine |
author_sort | Wade, Christopher M. |
collection | PubMed |
description | As the demand for forest products and carbon storage in standing timbers increases, intensive planting of forest resources is expected to increase. With the increased use of plantation practices, it is important to understand the influence that forest plot characteristics have on the likelihood of where these practices are occurring. Depending on the goals of a policy or program, increasing forest planting could be a desirable outcome or something to avoid. This study estimates a spatially explicit logistical regression function to assess the likelihood that forest plots will be planted based on physical, climate, and economic factors. The empirical results are used to project the potential spatial distribution of forest planting, at the intensive and extensive land-use margins, across illustrative future scenarios. Results from this analysis offer insight into the factors that have driven forest planting in the United States historically and the potential distribution of new forest planting in the coming decades under policy or market scenarios that incentivize improved forest productivity or certain ecosystem services provided by intensively managed systems (e.g., carbon sequestration). |
format | Online Article Text |
id | pubmed-7061452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-70614522020-03-09 Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States Wade, Christopher M. Baker, Justin S. Latta, Gregory Ohrel, Sara B. Allpress, Justine J For Article As the demand for forest products and carbon storage in standing timbers increases, intensive planting of forest resources is expected to increase. With the increased use of plantation practices, it is important to understand the influence that forest plot characteristics have on the likelihood of where these practices are occurring. Depending on the goals of a policy or program, increasing forest planting could be a desirable outcome or something to avoid. This study estimates a spatially explicit logistical regression function to assess the likelihood that forest plots will be planted based on physical, climate, and economic factors. The empirical results are used to project the potential spatial distribution of forest planting, at the intensive and extensive land-use margins, across illustrative future scenarios. Results from this analysis offer insight into the factors that have driven forest planting in the United States historically and the potential distribution of new forest planting in the coming decades under policy or market scenarios that incentivize improved forest productivity or certain ecosystem services provided by intensively managed systems (e.g., carbon sequestration). 2019 /pmc/articles/PMC7061452/ /pubmed/32153304 http://dx.doi.org/10.1093/jofore/fvz054 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Article Wade, Christopher M. Baker, Justin S. Latta, Gregory Ohrel, Sara B. Allpress, Justine Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title | Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title_full | Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title_fullStr | Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title_full_unstemmed | Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title_short | Projecting the Spatial Distribution of Possible Planted Forest Expansion in the United States |
title_sort | projecting the spatial distribution of possible planted forest expansion in the united states |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7061452/ https://www.ncbi.nlm.nih.gov/pubmed/32153304 http://dx.doi.org/10.1093/jofore/fvz054 |
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