Long time-series spatiotemporal variations of NPP and water use efficiency in the lower Heihe River Basin with serious water scarcity |
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| Institution: | 1. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;2. College of Water Sciences, Beijing Normal University, Beijing 100875, China;3. School of Economics and Management, Beijing Forestry University, Beijing 100083, China;4. Hebei Province Environmental Emergency and Heavy Pollution Weather Forewarning Center, Shijiazhuang, Hebei Province 050030, China;1. School of Economics, Lanzhou University, Lanzhou, 730000, China;2. Party School of Gansu Provincial Party Committee of the CPC (Gansu Institute of Public Administration), Lanzhou, 730070, China;3. The Joint Graduate School of Energy and Environment (JGSEE), King Mongkut’s University of Technology Thonburi, 126 Prachauthit Road, Bangkok, 10140, Thailand;4. Centre of Excellence on Energy Technology and Environment, PERDO, Bangkok, Thailand;5. Lanzhou Municipal Sub-branch, People’s Bank of China, Lanzhou, 730000, China;6. Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China;7. University of Chinese Academy of Sciences, Beijing, 100049, China;1. Department of Geography, Minjiang University, Surveying Engineering and Technology Research Center of Fujian Province, Fuzhou 350108, China;2. Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;3. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;4. Department of Geography, Hong Kong Baptist University, Hong Kong 999077, China;1. Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, School of Life Sciences, Fudan University, #2005 Songhu Road, Shanghai 200438, China;2. PIESAT Information Technology Co., Ltd, China;3. Rubber Research Institute (RRI), Chinese Academy of Tropical Agricultural Sciences (CATAS), China;4. Hainan Danzhou Agro-ecosystem National Observation and Research Station, China;5. State Key Laboratory Incubation Base for Cultivation & Physiology of Tropical Crops, Haikou 571101, China;1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China;2. Faculty of Resources and Environmental Science, Hubei University, Wuhan, Hubei, 430062, China;3. Center for Chinese Agricultural Policy, Chinese Academy of Sciences, Beijing, 100101, China;4. Zhongnan University of Economics and Law, Wuhan, 430073, China;5. Bureau of Science and Technology for Development, Chinese Academy of Sciences, Beijing, 100864, China;6. University of Chinese Academy of Sciences, Chinese Academy of Sciences, Beijing, 100049, China;7. Department of Geography, Texas State University, San Marcos, TX, 78666, USA;1. State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University, Fuzhou 350007, China;2. Institute of Geography, Fujian Normal University, Fuzhou 350007, China;3. Canada Centre for Remote Sensing, Natural Resource Canada, Ottawa K1A 0E4, Canada;4. Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources ,Chinese Academy of Sciences, Lanzhou 730000, China;5. Institute of Applied Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310058, China;6. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121, China;7. Key Laboratory for Humid Subtropical Eco-Geographical Processes of the Ministry of Education, Fujian Normal University, Fuzhou 350007, China |
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| Abstract: | It is of great significance to analyze the long time-series spatiotemporal dynamics of water use efficiency (WUE) to formulating appropriate management measures in response to the growing water scarcity in arid and semi-arid regions. This study analyzed the long time-series variations of WUE in the Lower Heihe River Basin, a typical arid and semi-arid region in China. The net primary productivity (NPP) was first estimated with the C-fix model, then WUE during 2001–2010 was calculated with the NPP and evapotranspiration (ET) data, and the accumulative WUE was further calculated. The results showed that the annual NPP and WUE in the study area ranged from zero to 448.70 gC/(m2 a) and from zero to 2.20 gC kg?1 H2O, respectively, both of which showed an overall increasing trend during 2001–2010. Besides, the spatial pattern of WUE kept overall unchanged during 2001–2010, but with remarkable change in some part of the study area. In addition, the accumulative WUE of the whole study area showed a first sharply decreasing and then gradually increasing trend, but there was still some scope to improve the WUE, and it is necessary to carry out some more specific policies to further improve the water allocation and WUE within the Lower Heihe River Basin. Although with some uncertainties, these results still can provide valuable reference information for improving the water resource management and ecological conservation to guarantee provision of essential ecosystem services in arid and semi-arid regions. |
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| Keywords: | Water use efficiency NPP Heihe River Basin Ecosystem services C-fix model |
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