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Local and nonlocal topographic controls on landscape ecohydrology

Local and nonlocal topographic controls on landscape ecohydrology
当地和非当地地形对景观生态水文学的控制
批准号:
1763284
负责人:
Amilcare Porporato
金额:
$12.77万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2018-07-31

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中文摘要
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英文摘要
The overarching goal of this research is the statistical quantification of the relative importance of local vs. nonlocal geomorphologic controls on landscape metabolism in complex topographies differing in hydroclimatic forcing and geologic age, and the quantification of their degree of nonlinearity and threshold effects. The research is guided by the hypothesis that the relative importance of local and nonlocal topographic effects on landscape metabolism shifts according to hydroclimatic conditions. Moreover, the conditions for such shifts change with the landscape age and the related surface smoothing processes, which modify the relative importance of tails vs. mode of the distributions of topographic properties (aspect, slope, contributing area, etc.). The research will provide a theoretical description of landscapes using statistical field theories, and analyze local and nonlocal controls on CN cycles (radiation, soil features, vegetation cover, and soil moisture dynamics). Finally it will couple local and nonlocal controls to biogeochemical dynamics, extending previous stochastic soil moisture and biogeochemistry models to include spatially random components. The fundamental environmental processes controlling vegetation and soil nutrient dynamics and the related carbon and nitrogen fluxes (also called landscape metabolism) are related to the land energy and water budgets. This research analyzes such processes and quantifies how they differ in space and time, as a function of the local and nonlocal landscape features, such as slope, orientation and drainage area. This proposal will pave the way to a more fundamental understanding of the laws for carbon, nitrogen, and water fluxes at different spatial scales over complex landscapes such as river basins and mountain regions. The project will be instrumental for the quantification of the land surface conditions for global climate models, especially in the contexts of variation in climatic and land-use scenarios.
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