Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1007/s10584-018-2201-7 |
Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba's forests | |
Park, Andrew1; Talbot, Carolyn1; Smith, Ryan2 | |
2018-06-01 | |
发表期刊 | CLIMATIC CHANGE
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ISSN | 0165-0009 |
EISSN | 1573-1480 |
出版年 | 2018 |
卷号 | 148期号:4页码:591-606 |
文章类型 | Article |
语种 | 英语 |
国家 | Canada |
英文摘要 | Forest managers are beginning to experiment with assisted migration (AM), the intentional movement of organisms to areas outside their historic range, as a pre-emptive adaptation to climate change. To date, AM studies have focused on species conservation, while AM in forestry has received little attention. Using Manitoba, Canada, as our study area, we developed a two-stage framework to evaluate North American tree species as AM candidates. Little's (1971) range maps were used to characterize climatic ranges for 87 species, and GCM projections under RCP8.5 estimated potential future tree distributions for 2011-2040, 2041-2070, and 2071-2100. Traits for the resulting 26 candidate species were evaluated in eight categories, each divided into several response factors, to investigate management potential, adaptation and interspecific interactions, vulnerability to pests, diseases and natural disturbance, and range of soil conditions tolerated. Multivariate analyses were used to classify species into groups characterized by different combinations of management potential, tolerance for climate extremes, and relative vulnerability to disturbances, insects, and disease. These groupings could be used by managers in a variety of applications-commercial forestry, urban forests, or restoration-as an initial selection filter for AM candidates. Separate uncertainty scores in each category should allow users to independently judge the quality of information contributing to a given category. Although our framework was regionally focused, it could be readily adapted to selecting AM candidates elsewhere. We recommend that the framework be further field tested among different practitioners, modifying, editing, and adding to the list of categories and factors, as needed. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000434459200011 |
WOS关键词 | CLIMATE-CHANGE ; MANAGED RELOCATION ; CANADIAN FORESTS ; DROUGHT ; FUTURE ; UNCERTAINTY ; DEBATE ; COLONIZATION ; COMPETITION ; MORTALITY |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/30034 |
专题 | 气候变化 |
作者单位 | 1.Univ Winnipeg, Dept Biol, 515 Portage Ave, Winnipeg, MB R3B 2E9, Canada; 2.Univ Winnipeg, Prairie Climate Ctr, 515 Portage Ave, Winnipeg, MB R3B 2E9, Canada |
推荐引用方式 GB/T 7714 | Park, Andrew,Talbot, Carolyn,Smith, Ryan. Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba's forests[J]. CLIMATIC CHANGE,2018,148(4):591-606. |
APA | Park, Andrew,Talbot, Carolyn,&Smith, Ryan.(2018).Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba's forests.CLIMATIC CHANGE,148(4),591-606. |
MLA | Park, Andrew,et al."Trees for tomorrow: an evaluation framework to assess potential candidates for assisted migration to Manitoba's forests".CLIMATIC CHANGE 148.4(2018):591-606. |
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