Integrated research methods in watershed science

被引:83
作者
Cheng GuoDong [1 ]
Li Xin [1 ]
机构
[1] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Peoples R China
基金
中国国家自然科学基金;
关键词
watershed science; land-surface system science; Earth system science; self-organized complex system; scale; Darwinian theory; human-nature system co-evolution; meta-synthesis; macro science; RIVER-BASIN MANAGEMENT; HYDROLOGY; NETWORK; SUPPORT; MODELS; FLOW;
D O I
10.1007/s11430-015-5074-x
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
We discuss the concepts, research methods, and infrastructure of watershed science. A watershed is a basic unit and possesses all of the complexities of the land surface system, thereby making it the best unit for practicing Earth system science. Watershed science is an Earth system science practiced on a watershed scale, and it has developed rapidly over the previous two decades. The goal of watershed science is to understand and predict the behavior of complex watershed systems and support the sustainable development of watersheds. However, watershed science confronts the difficulties of understanding complex systems, achieving scale transformation, and simulating the co-evolution of the human-nature system. These difficulties are fundamentally methodological challenges. Therefore, we discuss the research methods of watershed science, which include the self-organized complex system method, the upscaling method dominated by statistical mechanics, Darwinian approaches based on selection and evolutionary principles, hydro-economic and eco-economic methods that emphasize the human-nature system co-evolution, and meta-synthesis for addressing unstructured problems. These approaches together can create a bridge between holism and reductionism and work as a group of operational methods to combine hard and soft integrations and capture all aspects of both natural and human systems. These methods will contribute to the maturation of watershed science and to a methodology that can be used throughout land-surface systems science.
引用
收藏
页码:1159 / 1168
页数:10
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