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Soil Moisture Measurement for Ecological and Hydrological Watershed‐Scale Observatories: A Review

David A. RobinsonDep. of Geophysics, 397 Panama Mall Stanford Univ. Stanford CA 94305‐2215Colin S. CampbellDep. of Crop and Soil Sciences Washington State Univ. Pullman WA 99164J. W. HopmansDep. of Land, Air and Water Resources Univ. of California Davis CA 95616Brian K. HornbuckleDep. of Agronomy Iowa State Univ. of Science and Technology Ames IA 50011‐1010Scott B. JonesDep. of Plants, Soils and Climate Utah State Univ. Logan UT 84322‐4820R. KnightDep. of Geophysics, 397 Panama Mall Stanford Univ. Stanford CA 94305‐2215Fred L. OgdenDep. of Civil & Architectural Engineering Univ. of Wyoming Laramie WY 82071J. S. SelkerDep. of Biological and Ecological Engineering Oregon State Univ. Corvallis OR 97331‐3906Ole WendrothDep. of Plant and Soil Sciences Univ. of Kentucky Lexington KY 40546‐0091
2008en
ABI

Аннотация

At the watershed scale, soil moisture is the major control for rainfall–runoff response, especially where saturation excess runoff processes dominate. From the ecological point of view, the pools of soil moisture are fundamental ecosystem resources providing the transpirable water for plants. In drylands particularly, soil moisture is one of the major controls on the structure, function, and diversity in ecosystems. In terms of the global hydrological cycle, the overall quantity of soil moisture is small, ∼0.05%; however, its importance to the global energy balance and the distribution of precipitation far outweighs its physical amount. In soils it governs microbial activity that affects important biogeochemical processes such as nitrification and CO 2 production via respiration. During the past 20 years, technology has advanced considerably, with the development of different electrical sensors for determining soil moisture at a point. However, modeling of watersheds requires areal averages. As a result, point measurements and modeling grid cell data requirements are generally incommensurate. We review advances in sensor technology, particularly emerging geophysical methods and distributed sensors, aimed at bridging this gap. We consider some of the data analysis methods for upscaling from a point to give an areal average. Finally, we conclude by offering a vision for future research, listing many of the current scientific and technical challenges.

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