Climate Change Data Portal
DOI | 10.1111/ecog.04548 |
Integrated modeling predicts shifts in waterbird population dynamics under climate change | |
Zhao, Qing; Boomer, G. Scott; Royle, J. Andrew | |
发表日期 | 2019-09-01 |
ISSN | 0906-7590 |
EISSN | 1600-0587 |
卷号 | 42期号:9页码:1470-1481 |
英文摘要 | Climate change has been identified as one of the most important drivers of wildlife population dynamics. The in-depth knowledge of the complex relationships between climate and population sizes through density dependent demographic processes is important |
关键词 | Anas platyrhynchosDail-Madsen modeldemographyecological forecastglobal changeintegrative modelingmortalityreproductionsystem shift |
学科领域 | Biodiversity Conservation;Ecology |
语种 | 英语 |
WOS记录号 | WOS:000483710100002 |
来源期刊 | ECOGRAPHY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/77693 |
作者单位 | Colorado State Univ, Colorado Cooperat Fish & Wildlife Res Unit, Ft Collins, CO 80523 USA |
推荐引用方式 GB/T 7714 | Zhao, Qing,Boomer, G. Scott,Royle, J. Andrew. Integrated modeling predicts shifts in waterbird population dynamics under climate change[J],2019,42(9):1470-1481. |
APA | Zhao, Qing,Boomer, G. Scott,&Royle, J. Andrew.(2019).Integrated modeling predicts shifts in waterbird population dynamics under climate change.ECOGRAPHY,42(9),1470-1481. |
MLA | Zhao, Qing,et al."Integrated modeling predicts shifts in waterbird population dynamics under climate change".ECOGRAPHY 42.9(2019):1470-1481. |
条目包含的文件 | 条目无相关文件。 |
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