The precise implementation of the ecological water transfer project effectively promotes the enhancement of desert riparian ecosystem service value in the mainstream of Tarim River DOI Creative Commons

Ziwei Kang,

Hongbo Ling, Yanming Gong

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 169, P. 112914 - 112914

Published: Dec. 1, 2024

Language: Английский

Identifying the impact of global human activities expansion on natural habitats DOI
Liyan Yang, Hang Xu, Sipei Pan

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 140247 - 140247

Published: Dec. 23, 2023

Language: Английский

Citations

25

Quantifying the Impact and Importance of Natural, Economic, and Mining Activities on Environmental Quality Using the PIE-Engine Cloud Platform: A Case Study of Seven Typical Mining Cities in China DOI Open Access
Jianwen Zeng,

Xiaoai Dai,

Wenyu Li

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(4), P. 1447 - 1447

Published: Feb. 8, 2024

The environmental quality of a mining city has direct impact on regional sustainable development and become key indicator for assessing the effectiveness national policies. However, against backdrop accelerated urbanization, increased demand resource development, promotion concept ecological civilization, cities are faced with major challenge balancing economic protection. This study aims to deeply investigate spatial temporal variations its driving mechanisms mineral resource-based cities. utilizes wide coverage multitemporal capabilities MODIS optical thermal infrared remote sensing data. It innovatively develops index (RSEI) algorithm PIE-Engine cloud platform quickly obtain RSEI, which reflects environment. evolution characteristics in seven typical China from 2001 2022 were analyzed. Combined vector mine surface data, variability impacts activities environment quantitatively separated explored. In particular, taken into account by creating buffer zones zoning statistics analyze response relationship between RSEI these factors, including distance area percentage area. addition, drivers 2019 analyzed through Pearson correlation coefficients pixel 10 natural, economic, mining. Regression modeling was performed using random forest (RF) model, ranked order importance factor assessment. results showed that (1) changed significantly during period, negative significant. (2) areas low values closely related (3) generally lower than average level gradually as site increased. (4) increase size initially exacerbates environment, but is weakened beyond certain threshold. (5) most important affecting followed DEM, GDP, precipitation. great advancing formulating strategies.

Language: Английский

Citations

9

Understanding the effects of socio-ecological factors on trade-offs and synergies among ecosystem services to support urban sustainable management: A case study of Beijing, China DOI
Kaiping Wang,

Jingran Gao,

Chenhui Liu

et al.

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 100, P. 105024 - 105024

Published: Oct. 25, 2023

Language: Английский

Citations

21

Identifying and warning against spatial conflicts of land use from an ecological environment perspective: A case study of the Ili River Valley, China DOI
Can Wang, Hongwei Wang, Jinhua Wu

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119757 - 119757

Published: Dec. 14, 2023

Language: Английский

Citations

21

Mapping the evolution patterns of urbanization, ecosystem service supply–demand, and human well-being: A tree-like landscape perspective DOI Creative Commons
Jing Tan, Li Peng, Wenxin Wu

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110591 - 110591

Published: July 3, 2023

Ecosystem services (ESs) are closely related to human well-being (HWB). Recently, urbanization has increased worldwide, which had a significant impact on the ecosystem service supply–demand (ESSD) and HWB. However, previous studies have primarily focused spatiotemporal pattern of ESSD HWB, while ignoring their evolutionary pathways, especially in karst areas. We aimed quantify optimal trade-offs under constraints nonlinear relationship between further constructing tree-like framework explore pathways urbanization, ESSD, HWB from landscape evolution perspective. used production possibility frontier (PPF) three ESSDs, generalized additive model (GAM) fit geographic tree (Geotree) construct structure levels, comprehensive (CESD), There is trade-off deficit carbon storage (CS) water yield (WY), but synergy WY surplus FS. Further, there CSs food supply (FS). The response CS not obvious, FS obvious. Based Geotree model, CESD, present strong coupling relationships, show characteristics clustering, stratified heterogeneity, evolution.

Language: Английский

Citations

20

Disentangling the relative and cumulative impacts of diverse policies on food- and water-related ecosystem services and their trade-offs in ecologically fragile areas DOI
Guangyi Deng, Yang Liu, Haibo Jiang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 447, P. 141322 - 141322

Published: Feb. 21, 2024

Language: Английский

Citations

8

Spatial characteristics and trade-offs of ecosystem services in arid central asia DOI Creative Commons
Qian Ding, Li Wang,

Meichen Fu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 161, P. 111935 - 111935

Published: April 1, 2024

Ecosystem services (ESs) research is crucial for comprehending the intricate interplay between humans activities and environment, particularly in ecologically sensitive regions like Central Asia, which straddles transition from semi-arid to arid climates. Despite ecological significance of these regions, on ESs remains limited. In this study, we applied InVEST model analyze spatial characteristics multiple ESs, including water yield (WY), soil retention (SR), carbon storage (CS), habitat quality (HQ), Asia. Our findings unveil significant zonal disparities distribution trade-offs across region. WY, SR WY-SR display distinct vertical zonation patterns, while CS HQ exhibit both latitudinal patterns. Trade-offs, with exception WY-SR, mostly a striped pattern. Additionally, based GeoDetector approach, identified key influencing factors, encompassing land use type, precipitation, evapotranspiration, temperature, vegetation coverage, depth, organic matter. Notably, discovered that relationship factors as well trade-offs, non-linear, certain exhibiting optimal thresholds maintaining either high or low levels trade-offs. This study advances our understanding offering valuable insights regional ecosystem management coordinated development. By shedding light non-linear dynamics their response it underscores importance further support sustainable development efforts regions. Future can build upon develop policies interventions harness benefit environment local communities.

Language: Английский

Citations

7

Spatiotemporal characteristics and socio-ecological drivers of ecosystem service interactions in the Dongting Lake Ecological Economic Zone DOI Creative Commons

Chuxiong Deng,

Xinlv Shen,

Changchang Liu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112734 - 112734

Published: Oct. 1, 2024

Language: Английский

Citations

6

Threshold effect of ecosystem services in response to human activity in China’s urban agglomeration: a perspective on quantifying ecological resilience DOI
Xiao Ouyang, Jian Chen, Li Cao

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 9671 - 9684

Published: Jan. 9, 2024

Language: Английский

Citations

4

How can ecosystem services trade-offs/synergies help select the optimal cultivated land restoration pattern? A study based on multi-scenario simulations DOI
Xian Zhao, Wei Sun, Shiqin Zhang

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 177, P. 103563 - 103563

Published: Feb. 20, 2025

Language: Английский

Citations

0