气候变化领域集成服务门户(CCPortal): Forest hydrology modeling tools for watershed management: A review

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DOI	10.1016/j.foreco.2022.120755
	Forest hydrology modeling tools for watershed management: A review
	Sun, Ge; Wei, Xiaohua; Hao, Lu; Sanchis, Maria Gonzalez; Hou, Yiping; Yousefpour, Rasoul; Tang, Run; Zhang, Zhiqiang
发表日期	2023
ISSN	0378-1127
EISSN	1872-7042
卷号	530
英文摘要	Demands for water services from forested watersheds have dramatically increased since the 1950s and the trend continues as global environmental change intensifies in the 21st century. The goal of this study is to provide an overview of existing hydrological modeling tools that can be used in watershed management in a forest envi-ronment, offer guidance of model uses, and identify knowledge gaps in model development and applications. We classify 47 selected hydrological models according to their development purposes, theories, functionalities, and potentials to be applied in Decision Support Systems (DSS) for addressing five emerging watershed management challenges. We found that generic field, forest stand, and watershed-scale hydrological models developed in the 1980s-1990s are readily available for being incorporated into DSS for projecting hydrological responses to climate and land cover changes and address other watershed management problems. However, these models rarely explicitly link forest structure and species-level information to hydrological processes and functions, thus have limited utilities to answer specific forest management questions. Since early 2000s, hydrological models have incorporated energy, vegetation, terrain, and ecohydrological processes to begin to answer questions at hillslope to regional scales. However, routine uses of advanced modeling tools in forest watershed decision making remain challenging. Future model development should integrate multiple stressors and fine scale ecosystem and surface processes (e.g., vegetation dynamics, energy partitioning, and biogeochemical cycling), and balance model complexity, applicability, and access. Effective forest watershed DSS should have the ability to forecast short and long-term consequences of forest management decisions that often involve high risk and uncertainty under environmental change. In addition, DSS should integrate both physical and social aspects of watershed sciences that value indigenous culture and values.
英文关键词	Forest hydrology; Modeling; Watershed assessment tools; Watershed management; Decision support systems; Global change
语种	英语
WOS研究方向	Forestry
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000915629800001
来源期刊	FOREST ECOLOGY AND MANAGEMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281222
作者单位	United States Department of Agriculture (USDA); United States Forest Service; University of British Columbia; University of British Columbia Okanagan; Nanjing University of Information Science & Technology; Universitat Politecnica de Valencia; University of Freiburg; Beijing Forestry University
推荐引用方式 GB/T 7714	Sun, Ge,Wei, Xiaohua,Hao, Lu,et al. Forest hydrology modeling tools for watershed management: A review[J],2023,530.
APA	Sun, Ge.,Wei, Xiaohua.,Hao, Lu.,Sanchis, Maria Gonzalez.,Hou, Yiping.,...&Zhang, Zhiqiang.(2023).Forest hydrology modeling tools for watershed management: A review.FOREST ECOLOGY AND MANAGEMENT,530.
MLA	Sun, Ge,et al."Forest hydrology modeling tools for watershed management: A review".FOREST ECOLOGY AND MANAGEMENT 530(2023).