气候变化领域集成服务门户(CCPortal): An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale

CCPortal

DOI	10.1016/j.envres.2024.118730
	An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale
	Zhang, Yifan; Pang, Jianzhuang; Xu, Hang; Leng, Manman; Zhang, Zhiqiang
发表日期	2024
ISSN	0013-9351
EISSN	1096-0953
起始页码	251
卷号	251
英文摘要	The Budyko framework, widely used to quantify the watershed hydrological response to the watershed characteristics and climate variabilities, is continuously refined to overcome the disadvantages of steady state assumption. However, dynamic variations in vegetations and climate variables are not fully integrated including coverages and precipitation regimes of intensity, frequency, and duration. To address this, we developed an innovative approach for determining the parameter omega in the Budyko framework to quantify the hydrological effects of vegetation restoration in a mesoscale watershed located in northern China. We found that fractional vegetation coverage (FVC), heavy precipitation amount (95pTOT), and the number of precipitation days (R01mm) are significant variables for estimating omega to improve the predictive capability of the watershed response. This extended time-varying Budyko framework can rigorously capture the temporal variations and underlying mechanisms of interactions between vegetation dynamic and precipitation regime partitioning precipitation (P) to R. Under the Budyko-Fu framework, compared to constant omega ((omega) over bar) or omega that only considers FVC (omega(P)) or precipitation regimes (omega(FVC)) for simulating R, using omega that integrated FVC and precipitation regimes (omega(P-FVC)) can improve Nash-Sutcliffe efficiency coefficient (NSE) by 24.81%, while reduced the root mean squared error (RMSE) and relative error (RE) by 64.08% and 65.77%, respectively. Although the increase in climatic dryness (PET/P) resulted in decreased R, the increase in FVC has also a significant contribution to this decrease due to vegetation restoration. We highlight that decrease precipitation intensity (95pTOT) and frequency (R01mm) amplified the hydrological effects of vegetation restoration, causing a 79.09 similar to 100.31% increase in R compared to the independent impact of changes in FVC. We conclude that the extended time-varying Budyko framework by precipitation regime is more rigorous for quantifying the hydrological effects of ecological restoration under climate change and providing more reliable approach for adaptive watershed management.
英文关键词	Precipitation regime; Vegetation restoration; Climatic dryness; Budyko framework; Decomposition method
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号	WOS:001224772900001
来源期刊	ENVIRONMENTAL RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/304412
作者单位	Beijing Forestry University; Beijing Forestry University; Beijing Forestry University
推荐引用方式 GB/T 7714	Zhang, Yifan,Pang, Jianzhuang,Xu, Hang,et al. An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale[J],2024,251.
APA	Zhang, Yifan,Pang, Jianzhuang,Xu, Hang,Leng, Manman,&Zhang, Zhiqiang.(2024).An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale.ENVIRONMENTAL RESEARCH,251.
MLA	Zhang, Yifan,et al."An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale".ENVIRONMENTAL RESEARCH 251(2024).