Social–Ecological Factors and Ecosystem Service Trade-Offs/Synergies in Vegetation Change Zones of Qilian Mountain National Park During 2000–2020 DOI Creative Commons
Xiaoyuan Yang, Zhonghua Zhang, Huakun Zhou

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(8), С. 1402 - 1402

Опубликована: Апрель 15, 2025

An ecological restoration assessment aims to evaluate whether projects (ERPs) have achieved predefined objectives, such as improving fractional vegetation cover (FVC) and enhancing ecosystem services (ESs), well optimize strategies based on outcomes. Despite recent advancements, current studies still fall short of fully capturing the trade-offs among ESs identifying underlying drivers different trends. To address these challenges, we applied Theil–Sen method delineate change zones in Qilian Mountain National Park (QLMNP) between 2000 2020, employed bivariate Moran’s I statistics analyze synergies four within zones, including carbon sequestration (CS), soil conservation (SC), water (WC), biodiversity maintenance (BIO), utilized a spatial random forest (SRF) model explore main socio-ecological driving factors trends their distribution. Our results revealed significant recovery QLMNP particularly regions with initially low FVC. Positive CS, SC, BIO highlighted success efforts, primarily driven by land conversion forests increased precipitation. However, 8.82% exhibited stagnation or degradation due rising temperatures overgrazing, leading declines SC BIO. Notably, introduced ESs, especially high FVC areas, where strong trade-off emerged WC. These findings highlight need for refining balance resource allocation. Finally, integrated trends, ES relationships, propose grid-based zonal governance plans QLMNP, prioritizing WC enhancement critical components future planning. This study serves foundation optimizing maintaining while offering actionable insights fine-grained evaluation sustainable development planning other regions.

Язык: Английский

Spatial and temporal driving mechanisms of ecosystem service trade-off/synergy in national key urban agglomerations: A case study of the Yangtze River Delta urban agglomeration in China DOI Creative Commons
Yuting Huang, Juanyu Wu

Ecological Indicators, Год журнала: 2023, Номер 154, С. 110800 - 110800

Опубликована: Авг. 18, 2023

Clarifying the ecosystem service (ES) trade-off/synergy is a prerequisite for scientific implementation and optimization of integrated ecological system management strategies, especially in highly urbanized areas with declining eco-environmental carrying capacity. This study took China's Yangtze River Delta urban agglomeration (YRDUA) as an example. First, we used pixel-by-pixel analysis based on dynamic spatial correlation to quantify among 6 primary ESs' change amounts from 2005 2020 (habitat quality, soil retention, carbon sequestration, water yield, food production, leisure recreation). Then, multiple ES explored their driving factors by cluster geographically temporally weighted regression (GTWR). The results showed synergy between supporting regulating services predominated while were mostly trade-offs cultural services. 15 functional pairs within YRDUA can be downscaled into 4 trade-off bundles. Furthermore, climate drivers (annual highest temperature (TH), annual total precipitation (PRE), solar radiation (SRT)) significantly influenced heterogeneity ESs YRDUA. socio-economic (night light index (NLI), gross domestic product (GDP)) land use (proportion arable (ALP), proportion construction (CLP), woodland (WLP)) had more remarkable power explanation temporal variation trade-off/synergy. other agglomerations study's findings develop differentiated strategies.

Язык: Английский

Процитировано

43
Drivers of ecosystem services and their trade-offs and synergies in different land use policy zones of Shaanxi Province, China DOI
Yue Yang,

Xuefeng Yuan,

Jianji An

и другие.

Journal of Cleaner Production, Год журнала: 2024, Номер 452, С. 142077 - 142077

Опубликована: Апрель 4, 2024

Язык: Английский

Процитировано

37
Exploring interactions in water-related ecosystem services nexus in Loess Plateau DOI
Yixin Wang, Huimin Wang, Jingxuan Zhang

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 336, С. 117550 - 117550

Опубликована: Март 3, 2023

Язык: Английский

Процитировано

33
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

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(2), С. 411 - 411

Опубликована: Янв. 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.

Язык: Английский

Процитировано

14
Spatiotemporal heterogeneity of ecosystem service interactions and their determining thresholds across distinct climate zones in the temperate desert steppe of northern China DOI Creative Commons
Xin Li, Xiangdong Li, Xiaoqian Li

и другие.

Ecological Indicators, Год журнала: 2025, Номер 170, С. 113099 - 113099

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
Ecosystem service supply and demand relationship and spatial identification of driving threshold in Loess Plateau of China DOI

Haihong Qiu,

Yingchen Bai,

Hairong Han

и другие.

Ecological Engineering, Год журнала: 2025, Номер 212, С. 107534 - 107534

Опубликована: Янв. 31, 2025

Язык: Английский

Процитировано

1
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

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 100, С. 105024 - 105024

Опубликована: Окт. 25, 2023

Язык: Английский

Процитировано

22
Spatiotemporal variations of water conservation and its influencing factors in the Qinghai Plateau, China DOI Creative Commons
Xin Yan,

Guangchao Cao,

Shengkui Cao

и другие.

Ecological Indicators, Год журнала: 2023, Номер 155, С. 111047 - 111047

Опубликована: Окт. 7, 2023

Язык: Английский

Процитировано

17
Spatiotemporal Differentiation and Its Attribution of the Ecosystem Service Trade-Off/Synergy in the Yellow River Basin DOI Creative Commons
Huiying Sun, Zhenhua Di,

Piling Sun

и другие.

Land, Год журнала: 2024, Номер 13(3), С. 369 - 369

Опубликована: Март 14, 2024

Clarifying the spatio-temporal patterns of ecosystem services trade-off/synergy relationships (ESTSs) and their attribution in Yellow River Basin is crucial to constructing ecological civilization China. This study first analyzed change (ESs) including water yield, soil conservation, carbon sequestration, habitat quality during 2000–2020 based on InVEST RUSLE models. Then, spatial autocorrelation methods were used quantify differentiation ESTSs, Geo-detector method was employed identify contributions driving factors associated with natural, social-economic, regional policy aspects ESTSs. Finally, random forest analysis variance validate reasonability major obtained by Geo-detector. The main findings include: (1) In 2000–2020, increased, sequestration decreased. ESs had a pattern high east low west. (2) Overall, there synergistic between four Ess. distribution expansion synergy zone trade-off occupied majority. zones tended be concentrated northwest southeast area. contrast, more scattered than zone, mainly focused east-central southwestern parts Basin. (3) both showed that natural strong explanatory power which NDVI key driver. Both results interactions exerted most significant influence followed interaction socio-economic factors.

Язык: Английский

Процитировано

7
Revealing the Spatial Interactions and Driving Factors of Ecosystem Services: Enlightenments under Vegetation Restoration DOI Creative Commons
Ting Li, Yu Ren, Zemin Ai

и другие.

Land, Год журнала: 2024, Номер 13(4), С. 511 - 511

Опубликована: Апрель 13, 2024

Large-scale vegetation restoration has caused complex changes in ecosystem service (i.e., ES) interactions. However, current analysis on the spatial interactions of ESs and their driving mechanisms remains deficient, limiting adaptive management areas. This study focused a representative area (Yan’an) to analyze relationships among carbon sequestration, water yield, baseflow regulation, soil conservation from 1990 2020. Employing bivariate boxplot autocorrelation methods, we identified overall patterns ES The geographically temporally weighted regression GTWR) model was applied elucidate factors these results indicated following: (1) Over past three decades, synergies between sequestration yield emerged as joint ‘low–low’ ‘high–high’ two ESs, while other pairs generally exhibited comparatively weaker synergies, due ‘low–high’ southern semi-humid (2) In northern semi-arid areas, both fractional cover FVC) climatic consistently exerted negative influences all interactions, which reduced FVC suppressed trade-offs indicating adaptability grassland efforts. (3) impact human activities increased last 10 years, positive effects expansion trade-off warrants attention. offers important insights into understanding carbon, water, soil-related drylands.

Язык: Английский

Процитировано

7