Ecological Modelling, Год журнала: 2024, Номер 501, С. 110974 - 110974
Опубликована: Дек. 6, 2024
Язык: Английский
Environmental Impact Assessment Review, Год журнала: 2025, Номер 112, С. 107827 - 107827
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
4
Energy, Год журнала: 2024, Номер 307, С. 132751 - 132751
Опубликована: Авг. 8, 2024
Язык: Английский
Процитировано
7
Land, Год журнала: 2025, Номер 14(2), С. 319 - 319
Опубликована: Фев. 5, 2025
The development of inner harbors has been accompanied by the destruction natural landscapes, which in turn led to numerous ecological problems. However, temporal and spatial relationships between changes harbor landscape effects are not yet clear, there relatively few studies at smaller scales such as villages. In this study, we investigated Xieqian Harbor Xiangshan County, along eastern coast China, then analyzed change evolutionary characteristics carbon storage, soil conservation, water yield village scale for years 2000, 2010, 2020. We used geographically temporally weighted regression (GTWR) model explore spatiotemporal variables effects. results showed that fragmentation diversity patches increased from 2000 2020 due reclamation aquaculture, tourism development, construction, reflected edge density (ED) Shannon index (SHDI), 11.31% 2.82%, respectively. This resulted a notable reduction 572.6 thousand tons sequestration, 853 million 19 cubic meters over past 20 years. When non-stationarity heterogeneity were combined, relationship became highly intricate, with varying responses across different time periods locations. area-weighted mean patch shape (AWMSI) was key factor affecting three Our research confirmed significant on scale. Compared larger-scale studies, village-scale revealed more precisely impacts localized effects, providing support sustainable management new approach integrating GTWR into time–space analysis research.
Язык: Английский
Процитировано
0
Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Фев. 19, 2025
Ecosystem services (ESs) are a key component of social-ecological system (SES). Exploring the spatial processes coastal ESs is great significance for promoting high-quality development zones. This study investigates patterns and their interrelationships, identifies driving mechanisms, subsequently offers sustainable management strategies. The major results reveal that (1) exhibit fluctuating growth trend (k = 0.017, R 2 0.175) from 2000 to 2022, but synergistic effects gradually weakening; Spatially, show pattern higher levels in south lower north, with significant north-south disparity; In future, slight upward (mean Hurst 0.516), southern region being stronger than those northern region. (2) more strongly influenced by social factors less affected natural factors. Natural have weak positive influence on ESs, while opposite true factors; Social exert nonlinear mechanism (3) demonstrate pronounced aggregation pattern, which can serve as basis partitioning. As result, we integrate local realities governance knowledge into planning support SES.
Язык: Английский
Процитировано
0
Remote Sensing, Год журнала: 2025, Номер 17(5), С. 921 - 921
Опубликована: Март 5, 2025
Studying the spatiotemporal trends and influencing factors of vegetation coverage is essential for assessing ecological quality monitoring regional ecosystem dynamics. The existing research on variations their driving predominantly focused inland ecologically vulnerable regions, while coastal areas received relatively little attention. However, with unique geographical, ecological, anthropogenic activity characteristics, may exhibit distinct distribution patterns mechanisms. To address this gap, we selected Shandong Province (SDP), a representative province in China significant natural socioeconomic heterogeneity, as our study area. investigate coastal–inland differentiation dynamics its underlying mechanisms, SDP was stratified into four geographic sub-regions: coastal, eastern, central, western. Fractional cover (FVC) derived from MOD13A3 v061 NDVI data served key indicator, integrated multi-source datasets (2000–2023) encompassing climatic, topographic, variables. We analyzed characteristics dominant across these sub-regions. results indicated that (1) FVC displayed complex notable gradient where decreased towards coast. (2) influence various significantly varied sub-regions, dominating an east–west polarity, i.e., explanatory power intensified westward resurging zones. (3) intricate interaction multiple influenced spatial FVC, particularly dual-factor synergies interactions between other were crucial determining coverage. Notably, zone exhibited high sensitivity to drivers, highlighting exceptional ecosystems human activities. This provides insights different geographical zones well factors. These findings can help understand challenges faced protecting vegetation, facilitating deeper insight responses enabling formulation effective tailored strategies promote sustainable development areas.
Язык: Английский
Процитировано
0
Land Degradation and Development, Год журнала: 2025, Номер unknown
Опубликована: Апрель 1, 2025
ABSTRACT Investigating the spatial coupling between urbanization and ecosystem services (ESs) enhances understanding of social–ecological interactions while addressing sustainability challenges in urban agglomerations. While most studies have focused on local ESs, fewer examined their telecoupling, considering increasing distant systems. In this study, we developed a methodological framework to disentangle telecoupling ESs Beijing‐Tianjin‐Hebei agglomeration, China. Urbanization seven were mapped, relationships quantified. Different further generalized through archetype analysis, influencing factors identified. The results indicate that from 2000 2020, number counties with relatively high‐level increased. lagged or balanced counties. showed both increases decreases across different revealing networks ESs. Areas clustered into four archetypical interactions. These distributed along urban–peri‐urban–rural gradient: three types found separately mountainous, rural, central areas, type was mainly peri‐urban areas. Our study provides implications for targeted land management similar We suggest increase self‐sufficiency improve ecological compensation, thereby fostering sustainable development.
Язык: Английский
Процитировано
0
Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125180 - 125180
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0
Sustainability, Год журнала: 2025, Номер 17(9), С. 3916 - 3916
Опубликована: Апрель 26, 2025
Research on woodland ecosystem services is the premise of formulation regional policies and ecological protection measures in a new round utilization planning. Based remote-sensing images socioeconomic data, this study used InVEST model, geographical detectors, Spearman correlation analysis, coupling coordination degree model to evaluate spatiotemporal changes, driving factors, trade-off/synergies relationship habitat quality (HQ), soil conservation (SC), water (WC), carbon storage (CS) Zhangjiajie City 1995, 2005, 2015, 2022. The results show following: (1) HQ significantly decreased, SC WC fluctuated CS continued increase. (2) Natural factors were predominant, other natural interact increase effect. (3) four dominated by weak synergy, but turned into trade-offs These research can provide theoretical support for optimization tourism development compensation policies, high-quality sustainable City, case management world heritage sites.
Язык: Английский
Процитировано
0
Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100703 - 100703
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0
Frontiers of Environmental Science & Engineering, Год журнала: 2025, Номер 19(7)
Опубликована: Апрель 27, 2025
Язык: Английский
Процитировано
0