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DOI10.1029/2019GL082762
Integrating Species-Specific Information in Models Improves Regional Projections Under Climate Change
Remy, Cecile C.; Krofcheck, Dan J.; Keyser, Alisa R.; Litvak, Marcy E.; Collins, Scott L.; Hurteau, Matthew D.
发表日期2019-06-28
ISSN0094-8276
EISSN1944-8007
卷号46期号:12页码:6554-6562
英文摘要Models commonly used to project forest carbon response to climate change reduce biodiversity to a small number of plant functional types or plant functional traits for the sake of computational efficiency at large spatial scales. We simulated the climate
关键词LANDIS-IIPnET-successioneddy-covarianceNorth America southwestcarbonclimate change
学科领域Geosciences, Multidisciplinary
语种英语
WOS记录号WOS:000477616300045
来源期刊GEOPHYSICAL RESEARCH LETTERS
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/79129
作者单位Univ New Mexico, Dept Biol, Albuquerque, NM 87131 USA
推荐引用方式
GB/T 7714
Remy, Cecile C.,Krofcheck, Dan J.,Keyser, Alisa R.,et al. Integrating Species-Specific Information in Models Improves Regional Projections Under Climate Change[J],2019,46(12):6554-6562.
APA Remy, Cecile C.,Krofcheck, Dan J.,Keyser, Alisa R.,Litvak, Marcy E.,Collins, Scott L.,&Hurteau, Matthew D..(2019).Integrating Species-Specific Information in Models Improves Regional Projections Under Climate Change.GEOPHYSICAL RESEARCH LETTERS,46(12),6554-6562.
MLA Remy, Cecile C.,et al."Integrating Species-Specific Information in Models Improves Regional Projections Under Climate Change".GEOPHYSICAL RESEARCH LETTERS 46.12(2019):6554-6562.
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