Spatial identification of restored priority areas based on ecosystem service bundles and urbanization effects in a megalopolis area DOI
Zhenhuan Liu, Qiandu Huang, Yi Zhou

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 308, P. 114627 - 114627

Published: Feb. 1, 2022

Language: Английский

Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins DOI

Lulu Fang,

Lunche Wang, Wanxu Chen

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 314, P. 127995 - 127995

Published: June 23, 2021

Language: Английский

Citations

310
Uncovering the relationships between ecosystem services and social-ecological drivers at different spatial scales in the Beijing-Tianjin-Hebei region DOI
Jiashu Shen, Shuangcheng Li, Laibao Liu

et al.

Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 290, P. 125193 - 125193

Published: Nov. 19, 2020

Language: Английский

Citations

168
Driving factors of ecosystem services and their spatiotemporal change assessment based on land use types in the Loess Plateau DOI
Xiaozhen Wang, Jianzhao Wu, Yulin Liu

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 311, P. 114835 - 114835

Published: March 17, 2022

Language: Английский

Citations

158
Spatial differences of ecosystem services and their driving factors: A comparation analysis among three urban agglomerations in China's Yangtze River Economic Belt DOI
Qiaoling Luo,

Junfang Zhou,

Zhigang Li

et al.

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 725, P. 138452 - 138452

Published: April 6, 2020

Language: Английский

Citations

156
Spatial Differentiation and Driving Mechanisms in Ecosystem Service Value of Arid Region：A case study in the middle and lower reaches of Shule River Basin, NW China DOI

Ninghui Pan,

Qingyu Guan, Qingzheng Wang

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 319, P. 128718 - 128718

Published: Aug. 19, 2021

Language: Английский

Citations

151
Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland DOI Creative Commons

Xiangren Long,

Hui Lin,

Xuexian An

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 136, P. 108619 - 108619

Published: Feb. 2, 2022

Wetland vegetation has experienced significant loss and degradation over the last few decades. Although volumes of studies involve wetlands, limited attention been paid to long-term changes ecological values inland lake wetlands in China. In this paper, land use/cover data Dongting Lake wetland from 1995 2020 was generated based on Google Earth engine using Stacking algorithm. Subsequently, spatial temporal variation types explored dynamic analysis correlation indices change. The main factors influencing distribution were identified by Geodetector. Finally, degree impact ecosystem service value quantified equivalence factor method. results show that, past 25 years, use had switched with each other more frequently, a total 294.94 km2 area lost, mainly due shrinkage water, reeds sedge. affecting are population density, GDP, elevation sunshine duration, interaction drivers is mostly linearly enhanced no weakening effect. addition, showed trend first decreasing then increasing, ¥87,000.99 million ESV. study can provide basic information for preliminary work planning design, demonstrate importance ecosystems different regions. Based assessment results, it an important basis construction security patterns policy formulation civilization construction.

Language: Английский

Citations

127
Identifying and analyzing ecosystem service bundles and their socioecological drivers in the Three Gorges Reservoir Area DOI
Mengmeng Gou, Le Li, Shuai Ouyang

et al.

Journal of Cleaner Production, Journal Year: 2021, Volume and Issue: 307, P. 127208 - 127208

Published: May 3, 2021

Language: Английский

Citations

120
The ecosystem service values simulation and driving force analysis based on land use/land cover: A case study in inland rivers in arid areas of the Aksu River Basin, China DOI Creative Commons
Ling Xie, Hongwei Wang, Suhong Liu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 138, P. 108828 - 108828

Published: April 8, 2022

The ecosystem of inland river basin is great significance to the socio-economic stability in arid area. Therefore, evaluate service values (ESVs) necessary for monitor changes. In this paper, response land use/land cover (LULC) during 1990 2020 Aksu River Basin (ARB) ESV was explored. advanced equivalent factor which modified by biomass and used ESVs ARB. A patch-generating use simulation (PLUS) simulate spatial distribution considering influences temperature (TEM), precipitation (PRE), NDVI, DEM, Soil organic matter content (SOMC) Human Activity Intensity Land Surface (HAILS) ARB 2030. results show that total study area showed an increasing trend (1.63 × 1010 yuan 5.64 yuan) from 2020. grassland had highest ESV, accounting nearly 50% detection q value following explanatory power ESV: HAILS (0.332) > NDVI (0.126) TEM (0.125) PRE (0.108) DEM(0.096) SOMC(0.089)and interaction between effect 0.493 on ESV. shape index (SI) negatively correlated with correlation coefficient −0.794. aggregation (AI) Shannon's Diversity Index (SHDI) were positively coefficients 0.872 0.878, respectively. a rapid increase 2030, would still be largest, per unit plowland, forestland, unused water 20131.07 yuan/km2, 64743.29 3054.21 41398.54 This paper can help decision-makers achieve sustainable management develop land-use strategies basins oases.

Language: Английский

Citations

98
Modeling the spatially heterogeneous relationships between tradeoffs and synergies among ecosystem services and potential drivers considering geographic scale in Bairin Left Banner, China DOI

Chenli Xue,

Xinghua Chen,

Lirong Xue

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 855, P. 158834 - 158834

Published: Sept. 17, 2022

Language: Английский

Citations

98
Coupling relationship between urbanization and water-related ecosystem services in China’s Yangtze River economic Belt and its socio-ecological driving forces: A county-level perspective DOI Creative Commons
Yuzhe Bi, Liang Zheng, Ying Wang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 146, P. 109871 - 109871

Published: Jan. 10, 2023

"Taking the county as an important carrier to promote urbanization" has been identified China's most significant strategic planning for urban development. Exploring level of coordination among both water-related ecosystem services (WES) and urbanization analyzing their social ecological drivers at county-level can benefit in tackling various environmental challenges that arise a result urbanization. This research examined spatial temporal variation WES (i.e., water provision, soil conservation, purification services) Yangtze River Economic Belt (YREB) from 2000 2018 through Integrated Valuation Ecosystem Services Tradeoffs (InVEST) model, quantitative assessment terms population, economy, area increase. Then, coupling degree (CCD) model was then used assess extent coordinated growth Finally, GeoDetector regionally weighted regression were investigate influence multiple factors on CCD The findings indicate that: 1) Each unit YREB had significantly higher 2018, with hotspots located primarily Shanghai, Jiangsu, Zhejiang vicinity Wuhan Chengdu. 2) varied considerably between years, but exhibited upward tendency. 3) eastern portion is than western portion. increasing overall low. 4) Land use intensity, nighttime light NDVI primary determinants urbanization, considerable heterogeneity driving forces locations. To improve differentiated development schemes protection measures proposed based findings.

Language: Английский

Citations

83