Global Urbanization and Habitat Quality: Interactive Coercive Relationships DOI Creative Commons
Weisong Li, Jiahui Wu,

Yanghaoyue Yuan

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1943 - 1943

Published: Nov. 18, 2024

Urbanization is inevitably accompanied by drastic changes in regional land use and therefore presents an evident influence on ecosystems. Habitat quality (HQ) reflects the ability of a habitat to provide suitable conditions for survival individual or population, clarifying interrelationships between urbanization level (UL) HQ provides insights into sustainable urbanzation ecosystems conservation. Much attention has focused how related at multi-scales, but few studies have analyzed interactive coercive relationships UL global county level. To address this gap, we adopted bivariate spatial autocorrelation coupling coordination degree (CCD) model determine their globally. Results showed that average was 0.0807, 0.0838, 0.0857 2000, 2010, 2020, respectively, with continuously increasing trend. The 0.6186, 0.6133, 0.6111 reflecting opposite declining trends. Moran’s I population 2020 globally remained negative trend, values −0.189, −0.228, −0.254, while those economic also exhibited similar autocorrelations different dimensions indicated deserts plateaus functioned as catchment areas low HQ. CCD each ranged from 0 0.70, most optimal 0–0.90. terms distribution. Nevertheless, greatest among three during study period. These findings provided important support ecosystem protection

Language: Английский

Identifying the spatial relationships and drivers of ecosystem service supply–demand matching: A case of Yiluo River Basin DOI Creative Commons
Yuru Chen, Xuning Qiao,

Yongju Yang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 163, P. 112122 - 112122

Published: May 16, 2024

Identifying the spatial patterns and driving factors of ecosystem service supply–demand help to regulate optimize river basin's services' supply–demand, which is quite important for protection natural areas green development in China. The water yield services (WY), food production (FP), carbon sequestration (CS), soil retention (SR) Yiluo River Basin years 2000, 2010, 2020 were quantified using a variety models, including Integrated Valuation Ecosystem Services Trade-offs (InVEST), revised universal loss equation (RUSLE), ArcGIS, Canoco5. Additionally, features their spatial–temporal distributions identified. results combined with redundancy analysis (RDA) identify drivers supply/demand ratios three different years. There four main findings. (1) From 2000 2020, Basin's supply WY SR showed declining trend, while FP CS an increasing trend. In Basin, there was rising tendency demand decreasing trend WY, FP, SR. (2) Whereas ratio high-high aggregation regions (high supply-high demand) dominated relationship services. (3) population density forest land. Population had both positive negative effects on SR; however, only CS. Forest land effect ratios. (4) According principles clustering factors, divided into two first-level subzones upper middle portions Ecological Stability Zone lower reaches Reserve Zone, second-level Precautionary Reserve, Construction Management Control Zone. characterizedWe put forward practicable measures based characteristics balancing

Language: Английский

Citations

17
Cross-scale coupling of ecosystem service flows and socio-ecological interactions in the Yellow River Basin DOI
Qiulei Ji, Xiaoming Feng,

Siqi Sun

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 367, P. 122071 - 122071

Published: Aug. 3, 2024

Language: Английский

Citations

16
Identifying driving factors of ecosystem service trade-offs in mountainous region of southwestern China across geomorphic and climatic types DOI Creative Commons
Erfu Dai, Yahui Wang

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111520 - 111520

Published: Jan. 1, 2024

Mountainous areas have obvious spatial differences in topography and climate, which could further cause heterogeneity of ecosystem service (ES) trade-offs. The characteristics ES trade-offs had been extensively studied, however, the driving mechanism is still unclear mountainous areas. Focusing on Hengduan Mountain region (HDM) southwest China, this study quantified aggregation effects ESs their using a autocorrelation analysis, identified dominant drives for each trade-off across various geomorphological climatic zones. In terms distribution, significant positive correlation, was mainly manifested as high-high (H-H) low-low (L-L) value aggregations. factors some differed Land use type main factor flat paired water yield (WY) with soil conservation (SC) carbon storage (C). plateau (PLA) mid-subtropical (MS) climate zones, were land types WY C, respectively. Temperature higher contribution C SC For other trade-offs, constant different normalized difference vegetation index (NDVI) net primary productivity (NPP) between habitat quality (HQ) ESs, those among multiple drive, influence decreased increase topographic relief. Therefore, attention should be paid to ecological change future urban planning development. will help guide zoning regional achieve mountain sustainable

Language: Английский

Citations

9
Ecosystem service supply and demand relationship and spatial identification of driving threshold in Loess Plateau of China DOI

Haihong Qiu,

Yingchen Bai,

Hairong Han

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107534 - 107534

Published: Jan. 31, 2025

Language: Английский

Citations

1
Spatial drivers of ecosystem services supply-demand balances in the Nanjing metropolitan area, China DOI
Ligang Lv, Hanqiu Xu,

Junjun Zhu

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 434, P. 139894 - 139894

Published: Nov. 30, 2023

Language: Английский

Citations

20
Ecosystem service supply–demand ratio zoning and thresholds of the key influencing factors in the Pearl River Delta, China DOI Creative Commons

Yixuan Wu,

Yiming Liu, Hui Zeng

et al.

Landscape Ecology, Journal Year: 2024, Volume and Issue: 39(9)

Published: Aug. 18, 2024

Human demand for natural resources continues to increase owing climate change and population growth. The supply capacity of ecosystem services has also declined drastically, posing a severe threat the long-term sustainability human society. Taking fast-urbanized Pearl River Delta (PRD) as study area, specific research objectives this were intuitively reveal spatial distribution service supply–demand relationships in rapid urbanization explore dominant influencing factors their impact process on relationships. It zoned ecological space based ratio (ESSDR) evaluated by six typical services. And then, Geographical Detector model, Structural Equation Modeling regression analysis used ranking threshold effects ESSDR. (1) From 2000 2020, ESSDR central PRD deteriorated, whereas remote areas was further optimized. Stable grading eigenvalues found cumulative frequency curves from 2020. (2) Green density (GD) land development size (LDS) social PRD, respectively. (3) There two thresholds GD (21% 66%) LDS (8% 54%) ESSDR, which matched gradients urban, developing rural areas. are certain responding use change. focus should be imbalance with < 21% or > 54% protective measures strengthened 66% 8%.

Language: Английский

Citations

4
Trade-Off and Synergy Relationships and Driving Factor Analysis of Ecosystem Services in the Hexi Region DOI Creative Commons

Sijia Xiao,

Haonan Xia,

Jun Zhai

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(17), P. 3147 - 3147

Published: Aug. 26, 2024

The Hexi region, located in a sensitive and fragile ecological zone northwest China, requires scientific assessment of ecosystem services their interactions. Identifying the main factors influencing spatial distribution is crucial for sustainable development effective management region. This study evaluates key services, including regulating (water conservation, soil carbon storage) provisioning (NPP), using Spearman’s correlation pixel-by-pixel analysis to calculate trade-offs synergies. Geographic detectors were used uncover underlying driving mechanisms. results show that: (1) From 2000 2020, NPP, storage showed fluctuating growth, while water conservation declined. Spatially, high-value areas storage, NPP concentrated central southern areas, high values mainly southeast regions. (2) synergies among various exhibit temporal shifts, along with scale effects heterogeneity. In area, proportion pixels showing trade-off relationship between accounts 48.21% 21.42%, respectively. These are southeastern regions, northwestern counties predominantly (3) Precipitation was dominant factor as well these services. Among natural factors, climatic significantly more influential than socio-economic interaction two had greater explanatory power single factors.

Language: Английский

Citations

4
Towards ecological security: Two-thirds of China’s ecoregions experienced a decline in habitat quality from 1992 to 2020 DOI Creative Commons
Qiang Xue, Yang Zhang,

Qingmin Zhang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113275 - 113275

Published: March 1, 2025

Language: Английский

Citations

0
Balancing Poverty Alleviation and Ecosystem Vulnerability Reduction: Implication from China’s Targeted Interventions DOI Open Access

Li Wei,

Zhenbang Ma,

Ruisi Luo

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2490 - 2490

Published: March 12, 2025

The coordination between poverty alleviation and ecological protection is both a crucial requirement long-standing challenge for sustainable development. China’s implementation of targeted strategy has completed the task eliminating extreme poverty. However, evaluation corresponding ecosystem changes in entire poverty-alleviated areas still insufficient. This study investigated spatiotemporal vulnerability across 832 national poverty-stricken counties from 2005 to 2020. A habitat–structure–function framework was applied develop an index, along with factor analysis environmental socio-economic indicators conducted through Geodetector model. Finally, implications practices balance were explored. results show that decreased 2020, even greater decrease observed after 2013, which twice amount seen before 2013. post-2013 mainly brought about by enhancement function critical zones such as Qinghai–Tibet Plateau Ecoregion, Yangtze River Sichuan–Yunnan Key Yellow Ecoregion. From 2013 influence gross domestic product (GDP) surpassed other factors, playing significant positive role diminishing three regions mentioned. suggest have found “win–win” solution protection, is, they built synergistic mechanism combines government financial support strict policies (e.g., more compensation, eco-jobs, public welfare positions poor or poor). These findings elucidate mechanisms behind outcomes their implications, establishing practical coordinated development stewardship comparable regions.

Language: Английский

Citations

0
Assessing the spatiotemporal changes and drivers of ecological security by integrating ecosystem health and ecosystem services in Loess Plateau, China DOI
Le Hui, Hao Wang, Jiamin Liu

et al.

Journal of Geographical Sciences, Journal Year: 2025, Volume and Issue: 35(3), P. 459 - 482

Published: March 1, 2025

Language: Английский

Citations

0