Spatiotemporal changes and influencing factors of ecosystem services in the Nanchang metropolitan area, China DOI Creative Commons
Ting Zhang, Yuzhu Hu, Shengyu Guan

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 12, 2024

Ecosystem services (ES) such as carbon storage (CS), soil conservation (SC), habitat quality (HQ), and water yield (WY) play a crucial role in maintaining ecological balance supporting sustainable regional development. With increasing environmental changes, understanding the spatiotemporal dynamics of these their driving factors has become essential science. This study focuses on Nanchang metropolitan area, quantifying CS, SC, HQ, WY from 2000 to 2020. It explores impacts major factors, including climate, topography, social aspects, spatial heterogeneity ES. The results reveal that between 2020, CS HQ decreased by 0.1385×108 tons/ha 0.0507, respectively, while SC increased 2.4754×10 9 1.6668×10 10 m 3 , respectively. Notable exists correlation changes distribution ESs is higher mountainous regions compared central plains. Among human population (POP) gross domestic product (GDP) predominantly influenced whereas climate POP drove SC. Changes were primarily affected topography. These findings suggest need focus key formulate targeted land policies aimed at enhancing ES value area.

Language: Английский

Localized Sustainable Development Goals Changes and Their Response to Ecosystem Services—A Case of Typical Southern Hilly Regions in China DOI Creative Commons
Chang You, Shidong Zhang,

Wenshu Liu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 919 - 919

Published: June 24, 2024

Sustainability has become an indispensable core consideration when nations formulate their development policies. This study delves into the dynamic correlations between ecosystem services (ESs) and localized Sustainable Development Goals (SDGs) in a typical hilly region southern China. Various ESs were computed using InVEST model, while spatial econometric models employed to assess ES responses SDG targets at county, sectoral, overall levels. The findings revealed following. (1) From 2005 2020, there differences rates of various Ganzhou. Except for 15, which declined, other showed increasing trend. was relatively balanced, but 9 7 had highest growth rates, ranging from 9.4% 10.7% 10.3%, respectively. comprehensive assessment index exhibited significant spatiotemporal variation, with general trend higher values north lower south. (2) local delayed response 1 2, positive 3, 4, 6, 8, 9. However, 7, 11, 13, 15 regional differences. not only provides valuable insights sustainable Ganzhou regions China also offers Chinese perspectives experiences that may inform global efforts towards implementation. fills gap existing research by constructing indicator system quantifying each indicator, further exploring region. Looking ahead, we anticipate deepen understanding relationship on broader geographical scale over longer timeframes, aiming provide more robust scientific foundation building harmonious coexistence humans nature future.

Language: Английский

Citations

1

How Does the Three‐North Shelterbelt Engineering of China Improve Its Habitat Quality? A Study of 40 Years of Change Tracking and Driving Factors DOI
Yating Xu, Guangsheng Zhou, Li Zhou

et al.

Land Degradation and Development, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 6, 2024

ABSTRACT The Three‐North Shelterbelt Engineering of China (TNSEC) is a large‐scale ecological restoration project that was initiated in 1978 to enhance the environment Region (TNSER). However, macro long‐term data and driving mechanisms behind habitat quality TNSER remain inadequately understood. Therefore, multi‐source observational data, InVEST model, spatial analysis techniques were employed quantify spatiotemporal evolution since 1980. Additionally, Optimal Parameters‐based Geographical Detector (OPGD) model utilized quantitatively elucidate changes quality. has remained stable from 1980 2020, exhibiting significant agglomeration characteristics. Areas with higher are demonstrating trend expansion, while regions poor experiencing fragmentation expansion. It anticipated will continue future; however, areas their adjacent zones showing signs deterioration. Changes within influenced by multiple factors, primarily socio‐economic factors nature, GDP accounting for 55% variations This study offers valuable recommendations policymakers sustainable development perspective, highlighting critical role projects enhancing environmental amidst ongoing challenges.

Language: Английский

Citations

1

Agricultural resource management strategies for greenhouse gas mitigation: The land-energy-food-waste nexus based on system dynamics model DOI
Bo Yu, Xueqing Liu, Xuehao Bi

et al.

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107647 - 107647

Published: Sept. 6, 2024

Language: Английский

Citations

0

Integrating Ecosystem Services Trade-Off, Drivers and Zoning into Watershed Water Environment Management in Nansihu Lake Basin, China DOI

Xinqi Hu,

Hongqi Wang,

Qingqing Fang

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0

Integrating ecosystem services trade-off, drivers and zoning into watershed water environment management in Nansihu Lake Basin, China DOI Creative Commons

Xinqi Hu,

Hongqi Wang,

Qingqing Fang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 167, P. 112642 - 112642

Published: Sept. 26, 2024

Language: Английский

Citations

0

Spatiotemporal changes and influencing factors of ecosystem services in the Nanchang metropolitan area, China DOI Creative Commons
Ting Zhang, Yuzhu Hu, Shengyu Guan

et al.

Frontiers in Ecology and Evolution, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 12, 2024

Ecosystem services (ES) such as carbon storage (CS), soil conservation (SC), habitat quality (HQ), and water yield (WY) play a crucial role in maintaining ecological balance supporting sustainable regional development. With increasing environmental changes, understanding the spatiotemporal dynamics of these their driving factors has become essential science. This study focuses on Nanchang metropolitan area, quantifying CS, SC, HQ, WY from 2000 to 2020. It explores impacts major factors, including climate, topography, social aspects, spatial heterogeneity ES. The results reveal that between 2020, CS HQ decreased by 0.1385×108 tons/ha 0.0507, respectively, while SC increased 2.4754×10 9 1.6668×10 10 m 3 , respectively. Notable exists correlation changes distribution ESs is higher mountainous regions compared central plains. Among human population (POP) gross domestic product (GDP) predominantly influenced whereas climate POP drove SC. Changes were primarily affected topography. These findings suggest need focus key formulate targeted land policies aimed at enhancing ES value area.

Language: Английский

Citations

0