The impact of irrigation modes on agricultural water-energy‑carbon nexus DOI

Ruiming Zhu,

Rongqin Zhao,

Xiaojian Li

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 860, P. 160493 - 160493

Published: Nov. 24, 2022

Language: Английский

Land use/land cover change and its impact on ecosystem carbon storage in coastal areas of China from 1980 to 2050 DOI

Liya Zhu,

Ruixiang Song,

Shuang Sun

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 142, P. 109178 - 109178

Published: Aug. 2, 2022

Language: Английский

Citations

115
Global urban low-carbon transitions: Multiscale relationship between urban land and carbon emissions DOI
Wanxu Chen, Tianci Gu, Chuanglin Fang

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 100, P. 107076 - 107076

Published: Feb. 25, 2023

Language: Английский

Citations

46
Nighttime light in China's coastal zone: The type classification approach using SDGSAT-1 Glimmer Imager DOI

Mingming Jia,

Haihang Zeng, Zuoqi Chen

et al.

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114104 - 114104

Published: March 8, 2024

Language: Английский

Citations

18
Sensitivity assessment and simulation of ecosystem services in response to land use change in arid regions: Empirical evidence from Xinjiang, China DOI
Xiaoyun Li, Chunsheng Wu

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113150 - 113150

Published: Jan. 27, 2025

Language: Английский

Citations

2
Driving factors of the variation of ecosystem service and the trade-off and synergistic relationships in typical karst basin DOI
Yuan Jiang, Rui Li, Kai Huang

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 142, P. 109253 - 109253

Published: Aug. 5, 2022

Language: Английский

Citations

49
Quantification and spatially explicit driving forces of the incoordination between ecosystem service supply and social demand at a regional scale DOI Creative Commons
Menghao Yang, Xining Zhao, Pute Wu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 137, P. 108764 - 108764

Published: March 11, 2022

Accurate spatio-temporal quantifying of ecosystem services (ESs) supply and social demand their coordination dynamics, determining which factors affect such the spatial distribution patterns these effects, is essential to guide targeted management decisions. Unfortunately, quantitative data demonstrating explicit relationships between biophysical for ESs, as well identifying non-stationary response influencing factors, currently inadequate. To this end, study employed China's Loess Plateau (LP) an example quantify ES in 2000 2015, during society ecology region have undergone tremendous changes. Then, coupling degree model was used explore demand. Also, we analyzed correlations various natural policy socio-economic using geographically weighted regression. The results showed that had great variations, both increased from 2015. Although incoordination great, did improve 2015 with positive transitions lower grades higher grades. occurrence highly correlated vegetation cover driven by "Grain Green" Program, followed slope (a factor) factors. This helps deepen our understanding LP spatially drivers incoordination, could support auxiliary decision-making regional management.

Language: Английский

Citations

46
Assessment of ecosystem services in new perspective: A comprehensive ecosystem service index (CESI) as a proxy to integrate multiple ecosystem services DOI Creative Commons
Linlin Wu, Fenglei Fan

Ecological Indicators, Journal Year: 2022, Volume and Issue: 138, P. 108800 - 108800

Published: March 25, 2022

A comprehensive understanding of multiple ecosystem services (ES) across the landscape is a key highlight management. There still remain weakness to integrate ESs for mirroring capability ecosystems deliver in broad perspective. Here, we proposed index (CESI) integrating based on multiplicative method. Water supply service, carbon storage service and soil conservation were assessed using multi-sources remote sensing datasets InVEST models build CESI. To examine suitability performance CESI, took Guangdong-Hongkong-Macao Greater Bay Areas (GBA) as test region. Meanwhile, applied two previous methods used commonly assessing ESs: i) cumulative method ii) maximum value composite construct comparative indexes evaluating CESI with help spatial autocorrelation regression analysis from pattern numerical distribution The results showed that was well GBA got rid limitation single ES. observed high-value clustering central areas low-value outer regions. comparison illustrated linear autocorrelation, which good correlation between each similar clustering, but had subtle different clustering. Specifically, expressing better than other could indicate benefits manifest lagging provision This study pave way new approach evaluate socio-ecological systems

Language: Английский

Citations

38
An improved approach for evaluating landscape ecological risks and exploring its coupling coordination with ecosystem services DOI
Hongjiang Guo, Yanpeng Cai, Bowen Li

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 348, P. 119277 - 119277

Published: Oct. 14, 2023

Language: Английский

Citations

32
Exploring the historical and future spatial interaction relationship between urbanization and ecosystem services in the Yangtze River Basin, China DOI

Zhenzhen Pan,

Guangyao Gao, Bojie Fu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 428, P. 139401 - 139401

Published: Oct. 18, 2023

Language: Английский

Citations

27
Spatial and temporal differentiation and coupling analysis of land use change and ecosystem service value in Jiangsu Province DOI Creative Commons
Xiaodong Jing, Guiliang Tian, Yuchen He

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112076 - 112076

Published: April 27, 2024

Language: Английский

Citations

15