黄河灌区经济生态效益时空演变及其驱动因素

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Chang Liu , Enhui Jiang , Bo Qu , Lingqi Li , Lingang Hao , Wei Zhang
{"title":"黄河灌区经济生态效益时空演变及其驱动因素","authors":"Chang Liu ,&nbsp;Enhui Jiang ,&nbsp;Bo Qu ,&nbsp;Lingqi Li ,&nbsp;Lingang Hao ,&nbsp;Wei Zhang","doi":"10.1016/j.ecolind.2025.113419","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding the spatial–temporal variations in the economic-ecological benefits and driving factors within the Yellow River irrigation areas (YRIA) is crucial for ensuring high-quality socioeconomic development and ecological environment health of the Yellow River Basin, China, which is inherently water scarce. This study improved an accounting method for economic-ecological benefits in irrigation areas, based on the quantification methods for ecosystem service value and economic output value at constant prices, and quantitatively analyzed the different types of benefits and total benefits in the YRIA. The key driving factors of the economic-ecological benefits per unit area (<em>EEBUA</em>) in the YRIA and their spatial and temporal driving mechanisms were analyzed by the least absolute shrinkage and selection operator (LASSO) algorithm and geographically and temporally weighted regression (GTWR) model. The results revealed that the economic-ecological benefits markedly increased during 1990–2020. The YRIA in the middle and lower reaches of the Yellow River had stronger economic benefit output capabilities, while the YRIA in the upper reaches of the Yellow River had stronger ecological benefit output capabilities. The order of importance of the key factors influencing the economic-ecological benefits was precipitation (<em>PRE)</em>, industrial water use (<em>IW</em>), the proportion of the cultivated land area (<em>CL</em>), the proportion of the arable land area (<em>AL</em>), and agricultural water use (<em>AW</em>). Under the limited total water consumption assumption, the average standardized regression coefficient of <em>AW</em> with the <em>EEBUA</em> decreased from 0.034 to −0.120 in 1995–2000, indicating a shift from a promoting to an inhibiting effect. The average standardized regression coefficient of <em>IW</em> notably increased from 0.37 to 1.69, indicating a rapid rise in the importance of <em>IW</em> for the economic-ecological benefits economic-ecological benefits in 2010–2015. This inhibiting effect of <em>AW</em> on the <em>EEBUA</em> was greater in the downstream areas of the Yellow River, and the intensity gradually increased. These findings could provide a basis for water and land resource utilization planning and the yellow river water dispatch scheme.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"173 ","pages":"Article 113419"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial–temporal evolution of economic-ecological benefits and their driving factors in Yellow River irrigation areas\",\"authors\":\"Chang Liu ,&nbsp;Enhui Jiang ,&nbsp;Bo Qu ,&nbsp;Lingqi Li ,&nbsp;Lingang Hao ,&nbsp;Wei Zhang\",\"doi\":\"10.1016/j.ecolind.2025.113419\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Understanding the spatial–temporal variations in the economic-ecological benefits and driving factors within the Yellow River irrigation areas (YRIA) is crucial for ensuring high-quality socioeconomic development and ecological environment health of the Yellow River Basin, China, which is inherently water scarce. This study improved an accounting method for economic-ecological benefits in irrigation areas, based on the quantification methods for ecosystem service value and economic output value at constant prices, and quantitatively analyzed the different types of benefits and total benefits in the YRIA. The key driving factors of the economic-ecological benefits per unit area (<em>EEBUA</em>) in the YRIA and their spatial and temporal driving mechanisms were analyzed by the least absolute shrinkage and selection operator (LASSO) algorithm and geographically and temporally weighted regression (GTWR) model. The results revealed that the economic-ecological benefits markedly increased during 1990–2020. The YRIA in the middle and lower reaches of the Yellow River had stronger economic benefit output capabilities, while the YRIA in the upper reaches of the Yellow River had stronger ecological benefit output capabilities. The order of importance of the key factors influencing the economic-ecological benefits was precipitation (<em>PRE)</em>, industrial water use (<em>IW</em>), the proportion of the cultivated land area (<em>CL</em>), the proportion of the arable land area (<em>AL</em>), and agricultural water use (<em>AW</em>). Under the limited total water consumption assumption, the average standardized regression coefficient of <em>AW</em> with the <em>EEBUA</em> decreased from 0.034 to −0.120 in 1995–2000, indicating a shift from a promoting to an inhibiting effect. The average standardized regression coefficient of <em>IW</em> notably increased from 0.37 to 1.69, indicating a rapid rise in the importance of <em>IW</em> for the economic-ecological benefits economic-ecological benefits in 2010–2015. This inhibiting effect of <em>AW</em> on the <em>EEBUA</em> was greater in the downstream areas of the Yellow River, and the intensity gradually increased. These findings could provide a basis for water and land resource utilization planning and the yellow river water dispatch scheme.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"173 \",\"pages\":\"Article 113419\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25003498\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25003498","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

了解黄河灌区经济生态效益的时空变化及其驱动因素,对于确保黄河流域高质量的社会经济发展和生态环境健康至关重要。在固定价格下生态系统服务价值和经济产出价值量化方法的基础上,改进了灌区经济生态效益核算方法,定量分析了灌区不同类型效益和总效益。采用最小绝对收缩选择算子(LASSO)算法和地理时间加权回归(GTWR)模型,分析了长江三角洲地区单位面积经济生态效益的关键驱动因素及其时空驱动机制。结果表明:1990-2020年,经济生态效益显著提高;黄河中下游的长江流域具有较强的经济效益输出能力,而黄河上游的长江流域具有较强的生态效益输出能力。影响经济生态效益的关键因素的重要程度依次为降水(PRE)、工业用水(IW)、耕地面积占比(CL)、耕地面积占比(AL)、农业用水(AW)。在总耗水量有限的假设下,1995-2000年,水资源利用与EEBUA的平均标准化回归系数从0.034降至- 0.120,表明水资源利用由促进作用向抑制作用转变。IW的平均标准化回归系数从0.37显著上升至1.69,表明2010-2015年IW对经济生态效益的重要性迅速上升。在黄河下游地区,AW对EEBUA的抑制作用更大,且强度逐渐增强。研究结果可为黄河流域的水土资源利用规划和水资源调度方案提供依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial–temporal evolution of economic-ecological benefits and their driving factors in Yellow River irrigation areas
Understanding the spatial–temporal variations in the economic-ecological benefits and driving factors within the Yellow River irrigation areas (YRIA) is crucial for ensuring high-quality socioeconomic development and ecological environment health of the Yellow River Basin, China, which is inherently water scarce. This study improved an accounting method for economic-ecological benefits in irrigation areas, based on the quantification methods for ecosystem service value and economic output value at constant prices, and quantitatively analyzed the different types of benefits and total benefits in the YRIA. The key driving factors of the economic-ecological benefits per unit area (EEBUA) in the YRIA and their spatial and temporal driving mechanisms were analyzed by the least absolute shrinkage and selection operator (LASSO) algorithm and geographically and temporally weighted regression (GTWR) model. The results revealed that the economic-ecological benefits markedly increased during 1990–2020. The YRIA in the middle and lower reaches of the Yellow River had stronger economic benefit output capabilities, while the YRIA in the upper reaches of the Yellow River had stronger ecological benefit output capabilities. The order of importance of the key factors influencing the economic-ecological benefits was precipitation (PRE), industrial water use (IW), the proportion of the cultivated land area (CL), the proportion of the arable land area (AL), and agricultural water use (AW). Under the limited total water consumption assumption, the average standardized regression coefficient of AW with the EEBUA decreased from 0.034 to −0.120 in 1995–2000, indicating a shift from a promoting to an inhibiting effect. The average standardized regression coefficient of IW notably increased from 0.37 to 1.69, indicating a rapid rise in the importance of IW for the economic-ecological benefits economic-ecological benefits in 2010–2015. This inhibiting effect of AW on the EEBUA was greater in the downstream areas of the Yellow River, and the intensity gradually increased. These findings could provide a basis for water and land resource utilization planning and the yellow river water dispatch scheme.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信