Yongyong Zhang

Prof. Dr. Yongyong Zhang

Northwest Institute of Eco-Environment and Resources, Lanzhou, Gansu, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 February 2018 in Water Resources Research
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Journal Article
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Yongyong ZhangYongyong Zhang
Yongyong Zhang
WZWenzhi Zhao
Wenzhi Zhao
JHJianhua He
Jianhua He
LFLi Fu
Li Fu

10 November 2020 in Land Degradation & Development
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Journal Article
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Yongyong ZhangYongyong Zhang
Yongyong Zhang
WZWenzhi Zhao
Wenzhi Zhao
Xiaobin LiXiaobin Li
Xiaobin Li
AJAngyuan Jia
Angyuan Jia
WKWenrong Kang
Wenrong Kang

19 August 2022 in Remote Sensing
Verified
Journal Article
Open access
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CWchuan wamg
chuan wamg
WZWenzhi Zhao
Wenzhi Zhao
Yongyong ZhangYongyong Zhang
Yongyong Zhang
During the past several decades, the carbon budget in the dryland ecosystem has experienced great variation under the joint impact of climate change and anthropogenic interference. How the net ecosystem productivity (NEP) responds to climate change and human interference in the Qilian Mountains (QLM), Northwest China, remains unclear. To fill these gaps, we first estimated the NEP in the QLM and then quantified the independent and interactive influences of natural environment factors, climatic factors, and human activity intensity on the NEP change from 2000 to 2020 by linking the Geodetector and structural equation models. The NEP of the QLM showed a significant increase during the recent 20 years, and 78.93% of the QLM experienced a significant increase in NEP; while only 4.83% of the area in the QLM experienced a decreasing trend, which is dominantly located on the southeast edge, surrounding the Qinghai Lake, and the midland of the QLM. The area percentage of the carbon sink region increased from 47% in 2000 to 62% in 2020. The natural environment factors (e.g., altitude and soil type) and climate factors (e.g., temperature and precipitation) were the dominant factors that determine the spatial distribution of NEP. Compared with a single factor, the interaction of pairs of factors enhanced the influence strength on NEP. The natural environment factors indirectly affected NEP change through influencing human activities intensity and climatic factors. Human activities intensity played a medium indirectly negative effect on NEP, while climatic factors exerted strong direct and indirect positive influences on NEP. The contributions of human activity intensity, climatic factors, and natural environment on NEP change in the QLM were 33.5%, 62.3%, and 38.3%, respectively. Overall, warming and wetting shifts in meteorological conditions offset the negative impact of human activities on NEP in the QLM, and the QLM has acted as a growing carbon sink in the past 20 years.

16 June 2019 in Journal of Soils and Sediments
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FZFengyan Zhao
Fengyan Zhao
Yongyong ZhangYongyong Zhang
Yongyong Zhang
ZLZhijun Li
Zhijun Li
JSJinwei Shi
Jinwei Shi
GZGuoxian Zhang
Guoxian Zhang
JYjuan li Yang
juan li Yang

2 January 2026 in Reviews of Geophysics
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Journal Article
Open access
YING ZHAOYING ZHAO
YING ZHAO
CZCe Zheng
Ce Zheng
AGAlexander Gelfan
Alexander Gelfan
KWKunio Watanabe
Kunio Watanabe
HLHaojie Liu
Haojie Liu
WJWentao Jiao
Wentao Jiao
Frozen soils, including seasonally frozen ground and permafrost, are rapidly changing under a warming climate, with cascading effects on water, energy, and carbon cycles. We synthesize recent advances in the physics, observation, and modeling of frozen‐soil hydrology, emphasizing freeze–thaw dynamics, infiltration regimes and preferential flow, groundwater–permafrost interactions (including talik development and advective heat), and resulting shifts in streamflow seasonality. Progress in in situ sensing, geophysics, and remote sensing now resolves unfrozen water, freezing fronts, and active‐layer dynamics across scales, while land‐surface and tracer‐aided hydrological models increasingly represent phase change, macropore bypass, and vapor transport. Thaw‐induced activation of subsurface pathways alters recharge and baseflow, influences vegetation and biogeochemistry, and modulates greenhouse‐gas emissions. Key uncertainties persist in scaling micro‐scale processes, parameterizing ice‐impeded hydraulics, and representing abrupt thaw and wetland dynamics. We outline a tiered modeling framework, priority observations, and integration of vegetation–hydrology–carbon processes to improve projections of cold‐region water resources and climate feedbacks.