Ecological boundaries and their regional exceedance in China DOI
Feifei Li, Kai Huang, Yajuan Yu

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 461, P. 142669 - 142669

Published: May 24, 2024

Language: Английский

Understanding the spatial relationships and drivers of ecosystem service supply-demand mismatches towards spatially-targeted management of social-ecological system DOI
Jiashu Shen, Shuangcheng Li, Huan Wang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 406, P. 136882 - 136882

Published: March 31, 2023

Language: Английский

Citations

99

Simulating the impact of land use change on ecosystem services in agricultural production areas with multiple scenarios considering ecosystem service richness DOI
Long Jiang, Zongzhi Wang, Qiting Zuo

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 397, P. 136485 - 136485

Published: Feb. 22, 2023

Language: Английский

Citations

57

Matching ecosystem services supply and demand in China's urban agglomerations for multiple-scale management DOI

Wenyue Hou,

T W Hu, Liping Yang

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 420, P. 138351 - 138351

Published: Aug. 5, 2023

Language: Английский

Citations

38

Mapping and Analyzing the Spatiotemporal Patterns and Drivers of Multiple Ecosystem Services: A Case Study in the Yangtze and Yellow River Basins DOI Creative Commons
Yuanhe Yu, Zhouxuan Xiao, Lorenzo Bruzzone

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(2), P. 411 - 411

Published: Jan. 20, 2024

The Yangtze River Basin (YZRB) and the Yellow (YRB), which are crucial for ecology economy in China, face growing challenges to ecosystem service (ES) functions due global population growth, urbanization, climate change. This study assessed spatiotemporal dynamics of ESs YZRB YRB between 2001 2021, comprehensively encompassing essential aspects such as water yield (WY), carbon sequestration (CS), soil conservation (SC), habitat quality (HQ) while also analyzing trade-offs synergies among these at grid cells. GeoDetector was employed ascertain individual or interactive effects natural anthropogenic factors on their trade-offs/synergies. results showed that (1) from four exhibited significant spatial disparities distribution within two basins, with overall trend mainly increasing. consistently substantially higher ES values than YRB. (2) Complex were apparent both characterized by distinct heterogeneity. relationships WY–CS, WY–SC, CS–SC, CS–HQ synergistic. (3) Precipitation, potential evapotranspiration, elevation, land use cover (LULC), slope influenced basins. Notably, factors, particularly interactions involving LULC other demonstrated more robust explanatory power trade-offs/synergies drivers. These findings significantly affect refined management sustainable development decision-making large rivers regions.

Language: Английский

Citations

13

Identifying the priority areas for ecological protection considering ecological connectivity and ecosystem integrity: A case study of Xianyang City, China DOI Creative Commons
Tong Gu,

Ya-wen Tong,

Shiyu Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112102 - 112102

Published: May 3, 2024

Identifying ecological protection priority areas (EPPAs) in municipal is essential for accurate restoration and ensuring sustainable regional development. Xianyang represents a typical medium-sized city that currently grappling with the dual challenges of urban This study employed multi-criteria method to evaluate importance, considering both ecosystem services vulnerability. Based on this, corridors pinch points enhance connectivity were delineated using circuit theory. Subsequently, integrity ecosystems assessed from structural functional perspectives ensure their health stability. With support Geographic Information System (GIS) technology, three important integrated designate EPPAs. The results showed that: (1) extremely area spans 1956.44 km2, primarily made up forests grasslands. (2) There found be 19 sources, 26 corridors, 23 points. (3) excellent integrity, region was dominated by eco-lands, which accounted 2692.71 km2. (4) In end, this identified 3328.83 km2 EPPAs, 32.65 % area. These are located northern mountains major watersheds. Human activities as most factor overall spatial variations A multi-level framework developed establish continuous, comprehensive, systematic identifying thereby enhancing restoration, protection, use ecosystems.

Language: Английский

Citations

8

Identification of ecologically sensitive zones affected by climate change and anthropogenic activities in Southwest China through a NDVI-based spatial-temporal model DOI Creative Commons
Yong Xu,

Qiang-Yu Dai,

Yun-Gui Lu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 158, P. 111482 - 111482

Published: Dec. 26, 2023

Revealing the driving mechanism of climatic change and anthropogenic activities on vegetation variation identifying ecologically sensitive zones in Southwest China are critical for formulating regional ecological restoration strategies. Herein, a NDVI-based spatial–temporal model from 2000 to 2021 under influences alone combination was determined based MODIS NDVI situ meteorological data using Theil-Sen median analysis, Mann–Kendall significance test, residual relative analysis. The results showed that annual scale, NDVI, predicted significantly increased at rates 0.0016 yr−1, 0.0008 yr−1 2021, respectively. Moreover, (P < 0.05) Guangxi Hills (GXH), Hengduan Mountains (HDM), Sichuan Basin (SCB), Yunnan-Guizhou Plateau (YGP), Zoige (ZP) Tibetan (TP). areas with an increase accounted 81.45 %, 79.73 71.20 % China, dominated by combined effects activities, accounting 83.22 total study area. In addition, 62.76 area exhibited greening trend. contributions were greater than those areas, opposite is true browning areas. Innovatively, identified through analysis test 16.78 Overall, this proposed mode investigate forces variation, identify suggest management framework China.

Language: Английский

Citations

21

Coupling eco-environmental quality and ecosystem services to delineate priority ecological reserves—A case study in the Yellow River Basin DOI

Yangjing Xu,

Xiuchun Yang,

Xiaoyu Xing

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 365, P. 121645 - 121645

Published: July 2, 2024

Language: Английский

Citations

6

Analyzing spatial patterns and influencing factors of different illegal land use types within ecological spaces: A case study of a fast-growing city DOI
Hua Li,

Yinuo Peng,

Minying Li

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 424, P. 138883 - 138883

Published: Sept. 14, 2023

Language: Английский

Citations

14

Effects of land use/cover changes on soil organic carbon stocks in Qinghai-Tibet plateau: A comparative analysis of different ecological functional areas based on machine learning methods and soil carbon pool data DOI
Haoran Gao,

Jian Gong,

Jiakang Liu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139854 - 139854

Published: Dec. 3, 2023

Language: Английский

Citations

13

Thresholds for Rural Public and Ecosystem Services: Integration into Rural Green Space Spatial Planning for Sustainable Development DOI Creative Commons

Huiya Yang,

Jiahui Zou,

Chongxiao Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 113 - 113

Published: Jan. 8, 2025

Rural landscapes are experiencing ecosystem degradation due to urbanization and rapid suburban expansion. Ecosystem services derived from natural resources essential public facilitated by social capital collectively address the growingly diverse ecological requirements of rural residents. Even so, often trade-offs, highlighting necessity enhance their coordinated development. However, it remains unclear how use identified thresholds delineate functional zones. This will scientifically guide sound efficient spatial planning management. study takes countryside Jiangning in Nanjing as area. It explores inclusion threshold value strategic design sustainable development China. First, we quantify map six types (ESs) 13 (RPSs). Secondly, piecewise linear regression method identify response RPSs kinds ESs. Finally, combination classification values used divide areas, space-specific management suggestions put forward. The results follows (1) With increase RPSs, all ESs respond with a downward trend. (2) In addition negative relationship between education welfare ESs, other were identified. (3) According multiple density analysis each RPS’s four areas obtained. We emphasize priority management, that is, “ESs enhancement area optimization area”. (4) can be tools zones areas. general, our research helps ensure maximization benefits while also meeting growing diversity needs residents enabling efficient, phased, gradient, precise ecosystems promote realize revitalization.

Language: Английский

Citations

0