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.
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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Cited
14 citations as recorded by crossref.
- Cumulative forest disturbances decrease runoff in two boreal forested watersheds of the northern interior of British Columbia, Canada Y. Hou et al.
- Water yield response to forest treatment patterns in a sierra nevada watershed K. Smith et al.
- Reexamining forest disturbance thresholds for managing cumulative hydrological impacts X. Wei et al.
- A global synthesis of hydrological sensitivities to deforestation and forestation Y. Hou et al.
- How reliable are long time-series reanalysis and model-based soil moisture products for agricultural soil water stress monitoring? Insights from a five-dataset evaluation across China P. Li et al.
- Effects of ecohydrological interfaces on migrations and transformations of pollutants: A critical review S. Zhao et al.
- Vegetation Growth Dynamic and Sensitivity to Changing Climate in a Watershed in Northern China W. Cao et al.
- A comparison of annual streamflow sensitivities to vegetation change and climate variability in fourteen large watersheds along climate zones in China Y. Hou et al.
- Vegetation dynamics regulate baseflow seasonal patterns of the Chaohe watershed in North China W. Cao et al.
- Quantifying the Soil Water Storage Capacity of Flysh Catchments Surrounded by Mixed Forests in Outer Carpathians W. Halecki et al.
- Supporting decision-making processes in the assessment of water-related risks: a review of models and methods C. Caprioli & C. D’Alpaos
- A data-driven framework for planning-oriented decision support in integrated watershed management: insights from machine learning in Northern China M. Lu et al.
- Non-stationary streamflow responses to forest harvesting vary along topographic gradients in a sub-alpine watershed of Southwest China S. Deng et al.
- Quantifying spatiotemporal inconsistencies in runoff responses to forest logging in a subtropical watershed, China Y. Xu et al.
14 citations as recorded by crossref.
- Cumulative forest disturbances decrease runoff in two boreal forested watersheds of the northern interior of British Columbia, Canada Y. Hou et al.
- Water yield response to forest treatment patterns in a sierra nevada watershed K. Smith et al.
- Reexamining forest disturbance thresholds for managing cumulative hydrological impacts X. Wei et al.
- A global synthesis of hydrological sensitivities to deforestation and forestation Y. Hou et al.
- How reliable are long time-series reanalysis and model-based soil moisture products for agricultural soil water stress monitoring? Insights from a five-dataset evaluation across China P. Li et al.
- Effects of ecohydrological interfaces on migrations and transformations of pollutants: A critical review S. Zhao et al.
- Vegetation Growth Dynamic and Sensitivity to Changing Climate in a Watershed in Northern China W. Cao et al.
- A comparison of annual streamflow sensitivities to vegetation change and climate variability in fourteen large watersheds along climate zones in China Y. Hou et al.
- Vegetation dynamics regulate baseflow seasonal patterns of the Chaohe watershed in North China W. Cao et al.
- Quantifying the Soil Water Storage Capacity of Flysh Catchments Surrounded by Mixed Forests in Outer Carpathians W. Halecki et al.
- Supporting decision-making processes in the assessment of water-related risks: a review of models and methods C. Caprioli & C. D’Alpaos
- A data-driven framework for planning-oriented decision support in integrated watershed management: insights from machine learning in Northern China M. Lu et al.
- Non-stationary streamflow responses to forest harvesting vary along topographic gradients in a sub-alpine watershed of Southwest China S. Deng et al.
- Quantifying spatiotemporal inconsistencies in runoff responses to forest logging in a subtropical watershed, China Y. Xu et al.
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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...