Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019GL082762 |
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. | |
2019-06-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2019 |
卷号 | 46期号:12页码:6554-6562 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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 sensitivity of the dominant woody vegetation types in New Mexico using both a generalized functional type and a species-specific model parameterization. Both parameterizations achieve reasonable current carbon uptake rates and aboveground biomass amount at the ecosystem scale. When vegetation types are subjected to increasing temperature and decreasing precipitation, the generalized parameterization differs substantially from the species-specific parameterization by homogenizing the diversity of adaptations for dealing with higher temperature and drought, leading to divergent responses under changing climate. We recommend integrating species-specific information, when available, to improve projections of climate change impacts on forested ecosystems to develop robust ecosystem management strategies at regional scales. |
英文关键词 | LANDIS-II PnET-succession eddy-covariance North America southwest carbon climate change |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477616300045 |
WOS关键词 | LANDSCAPE SIMULATION-MODEL ; PLANT FUNCTIONAL TYPES ; TREE MORTALITY ; ENGELMANN SPRUCE ; SIERRA-NEVADA ; UNITED-STATES ; CARBON-CYCLE ; DOUGLAS-FIR ; DIE-OFF ; FOREST |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
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/184244 |
专题 | 气候变化 |
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]. GEOPHYSICAL RESEARCH LETTERS,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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论