globalchange  > 过去全球变化的重建
DOI: 10.2172/1226921
报告号: 1
报告题名:
Improving models to predict phenological responses to global change
作者: Richardson, Andrew D.
出版年: 2015
发表日期: 2015-11-25
总页数: 5
国家: 美国
语种: 英语
英文关键词: SPRUCE experiment ; phenology ; models
中文主题词: ; 植被 ; 植物气候学 ; 二氧化碳
主题词: CARBON ; VEGETATION ; PLANT PHENOLOGY ; CARBON DIOXIDE
英文摘要: The term phenology describes both the seasonal rhythms of plants and animals, and the study of these rhythms. Plant phenological processes, including, for example, when leaves emerge in the spring and change color in the autumn, are highly responsive to variation in weather (e.g. a warm vs. cold spring) as well as longer-term changes in climate (e.g. warming trends and changes in the timing and amount of rainfall). We conducted a study to investigate the phenological response of northern peatland communities to global change. Field work was conducted at the SPRUCE experiment in northern Minnesota, where we installed 10 digital cameras. Imagery from the cameras is being used to track shifts in plant phenology driven by elevated carbon dioxide and elevated temperature in the different SPRUCE experimental treatments. Camera imagery and derived products (“greenness”) is being posted in near-real time on a publicly available web page (http://phenocam.sr.unh.edu/webcam/gallery/). The images will provide a permanent visual record of the progression of the experiment over the next 10 years. Integrated with other measurements collected as part of the SPRUCE program, this study is providing insight into the degree to which phenology may mediate future shifts in carbon uptake and storage by peatland ecosystems. In the future, these data will be used to develop improved models of vegetation phenology, which will be tested against ground observations collected by a local collaborator.
URL: http://www.osti.gov/scitech/servlets/purl/1226921
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资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/41702
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Richardson, Andrew D.. Improving models to predict phenological responses to global change. 2015-01-01.
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