干旱区生态环境知识资源中心(Arid): A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism

Arid

DOI	10.1016/j.jenvman.2022.115592
	A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism
	Kong, Zijie; Han, Feifei; Ling, Hongbo; Deng, Mingjiang; Li, Mengyi; Yan, Junjie
通讯作者	Ling, HB
来源期刊	JOURNAL OF ENVIRONMENTAL MANAGEMENT
ISSN	0301-4797
EISSN	1095-8630
出版年	2022
卷号	318
英文摘要	Systematic analysis of the change law and driving mechanism of ecological indicators (GPP, ET, WUE), as well as the study of maximum threshold of water resources benefit changing with ecological benefit, are important prerequisites for realizing the scientific allocation and efficient utilization of water resources in desert riparian forests. However, previous studies have defects in the detailed description of the change characteristics of ecological indicators. How to accurately diagnose the characteristics of a site, mutation year, pattern (linear, exponential, logarithmic, etc.), duration of change, future change trends of ecological indicators in a desert riparian environment, as well as quantitatively revealing their driving mechanisms, are major scientific problems that need to be solved urgently. In this regard, an ensemble function coupling a logistic function and an asymmetric Gaussian function was creatively adopted, a novel framework was created to integrate the timeseries trajectory fitting method and the sensitivity analysis method, and the arid and ecologically fragile Tarim River Basin was taken as a typical area. The results showed that with enhanced water resource management in the Tarim River Basin, GPP, ET, and WUE all showed patterns of increasing change and could be expected to continue to rise or to remain at a high-level stable state. The longest continuous period of GPP change was 15 years, showing that ecological restoration is a long-term process. The years of GPP mutation were consistent with the implementation periods of major measures in the Tarim River Basin (1990, 2001, and 2011), indicating the reliability of this framework. More importantly, when GPP increased to 216.44 g C m(-2), the maximum WUE threshold of 0.93 g C m(-2) mm(-1) occurred. This threshold can be used as a reference criterion for efficient utilization of ecological water in the basin. Among the ecological indicators studied, GPP was the most sensitive to environmental change, but GPP, with 80.60% of pixel area, showed a weak memory effect ( alpha < 0.4). Besides, GPP was the most sensitive to the leaf area index (LAI) and had the strongest correlation with it (p < 0.001). Therefore, LAI can be used as the main control factor for judging plant growth. This research can provide important scientific guidance and reference for the analysis of ecological indicator changes and the sustainable utilization of water resources in arid areas.
英文关键词	Ecological indicators Change patterns Driving mechanism Ecological restoration Temporal trajectory Sensitivity analysis
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000878742500004
WOS关键词	WATER-USE EFFICIENCY ; TIME-SERIES ; TERRESTRIAL ECOSYSTEMS ; VEGETATION PHENOLOGY ; SEMIARID ECOSYSTEMS ; TRENDS ; CHINA ; VARIABILITY ; RESILIENCE ; PATTERNS
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393418
推荐引用方式 GB/T 7714	Kong, Zijie,Han, Feifei,Ling, Hongbo,et al. A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism[J],2022,318.
APA	Kong, Zijie,Han, Feifei,Ling, Hongbo,Deng, Mingjiang,Li, Mengyi,&Yan, Junjie.(2022).A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism.JOURNAL OF ENVIRONMENTAL MANAGEMENT,318.
MLA	Kong, Zijie,et al."A novel multi-model fusion framework diagnoses the complex variation characteristics of ecological indicators and quantitatively reveals their driving mechanism".JOURNAL OF ENVIRONMENTAL MANAGEMENT 318(2022).