Articles | Volume 25, issue 3
https://doi.org/10.5194/hess-25-1447-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-1447-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Mar 2021
Research article |
| 25 Mar 2021
| 25 Mar 2021
Quantification of ecohydrological sensitivities and their influencing factors at the seasonal scale
Yiping Hou
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Department of Earth, Environmental and Geographic Sciences, University of British Columbia (Okanagan campus), 1177 Research Road, Kelowna, British Columbia V1V 1V7, Canada
Mingfang Zhang
CORRESPONDING AUTHOR
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Center for Information Geoscience, University of Electronic Science
and Technology of China, Chengdu 611731, China
Xiaohua Wei
Department of Earth, Environmental and Geographic Sciences, University of British Columbia (Okanagan campus), 1177 Research Road, Kelowna, British Columbia V1V 1V7, Canada
Shirong Liu
Research Institute of Forest Ecology, Environment and Protection,
Chinese Academy of Forestry, Beijing 100091, China
Center for Ecological Forecasting and Global Change, College of
Forestry, Northwest A&F University, Yangling 712100, China
Tijiu Cai
Department of Forestry, School of Forestry, Northeast Forestry
University, Harbin 150040, China
Wenfei Liu
Jiangxi Provincial Key Laboratory for Restoration of Degraded
Ecosystems & Watershed Ecohydrology, Nanchang Institute of Technology, Nanchang 330099, China
Runqi Zhao
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
Division of Ocean Science and Technology, Tsinghua Shenzhen
International Graduate School, Tsinghua University, Shenzhen 518055, China
Xiangzhuo Liu
School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
INRA, Centre INRA Bordeaux Aquitaine, URM 1391 ISPA, 33140 Villenave d'Ornon, France
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We provide the first long-term (since 1992), high-resolution (8.9 km) satellite radar backscatter data set (LHScat) with a C-band (5.3 GHz) signal dynamic for global lands. LHScat was created by fusing signals from ERS (1992–2001; C-band), QSCAT (1999–2009; Ku-band), and ASCAT (since 2007; C-band). LHScat has been validated against independent ERS-2 signals. It could be used in a variety of studies, such as vegetation monitoring and hydrological modelling.
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Short summary
Ecohydrological sensitivity, defined as the response intensity of streamflow to vegetation change, indicates the hydrological sensitivity to vegetation change. The study revealed seasonal ecohydrological sensitivities were highly variable, depending on climate condition and watershed attributes. Dry season ecohydrological sensitivity was mostly determined by topography, soil and vegetation, while wet season ecohydrological sensitivity was mainly controlled by soil, landscape and vegetation.
Ecohydrological sensitivity, defined as the response intensity of streamflow to vegetation...
