Evaluation and Prediction of Ecological Benefits in Song-Liao River Basin DOI Creative Commons
Jiaxi Cao, Meng Liang, Xiaodan Hu

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(21), С. 3993 - 3993

Опубликована: Окт. 28, 2024

The evaluation and prediction of ecological benefits are significant for regional resource development planning path designing. This study established a novel system by integrating macro-ecosystem structure, Ecosystem service index (ESI), quality (EQI). Based on this system, evaluated the spatiotemporal characteristics changing trend in Song-Liao River Basin (SRB) from 1990 to 2020. results show that structure remains stable, ecosystem generally first decline then increase. average growth rates ESI EQI were 0.6% 0.4%, respectively, during 1990–2020. natural areas with widely distributed forest higher, while those frequent human activities lower. model based machine learning has achieved good modeling effect, which shows SRB will be rise future. results, we suggest more environmental protection policies basis maintaining existing plan should promoted reduce contradiction between nature process. For abundant forests area, reasonable management carried out improve carbon-fixation capacity vegetation, Methodology managing constructed make full use carbon sinks. new afforestation project being promoted, carbon-sink projects CCER (Chinese Certified Emission Reduction) realize synergy economic protection.

Язык: Английский

Landscape-based ecological resilience and impact evaluation in arid inland river basin: A case study of Shiyang River Basin DOI
Yimin Wang, Jinghu Pan

Applied Geography, Год журнала: 2024, Номер 167, С. 103299 - 103299

Опубликована: Май 20, 2024

Язык: Английский

Процитировано

7

Spatio-temporal heterogeneity of urban ecological resilience in the middle reaches of the Yangtze River in China DOI
Zhixiang Yin, Tiantian Ma,

Yanlin Sun

и другие.

International Review of Economics & Finance, Год журнала: 2024, Номер 94, С. 103384 - 103384

Опубликована: Июнь 6, 2024

Язык: Английский

Процитировано

4

Unraveling the Impacts of River Network Connectivity on Ecological Quality Dynamics at a Basin Scale DOI Creative Commons
Xia Li,

Xiaobiao Mo,

Cheng Zhang

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(13), С. 2370 - 2370

Опубликована: Июнь 28, 2024

The ecological quality of river basins is significantly influenced by the complex network structures and their connectivity. This study measured temporal spatial variability quality, as reflected remote sensing indices (RSEI), examined responses to connectivity (RNC). In total, 8 RNC indices, including structure density (Dr), water surface ratio (Wr), edge-node (β), (γ), node importance betweenness centrality (BC), PageRank (PG_R), out_degree (Out_D), in_closeness (In_C), were generated at subbasin scale. Our results highlighted significance in influencing both values RSEI, extent this influence varied across different time periods. Specifically, three distinct clusters can be extracted from representing wet, near-normal, dry years. index γ patterns RSEIs, particularly wet years (R2 = 0.554), whereas β displayed a pronounced U-shape correlation with RSEIs 0.512). Although did not correlate directly RSEI levels, did, they positively affected (EI_SD_t). Higher PG_R, Out_D, In_C associated increased variability. Based on these correlations, we developed RNC-based EI_SD_t models high adjusted coefficients determination facilitate assessment ecosystem quality. provides essential insights into dynamics related within basin offers valuable guidance for effective watershed management conservation efforts aimed enhancing resilience sustainability.

Язык: Английский

Процитировано

4

The evolution of urban ecological resilience: An evaluation framework based on vulnerability, sensitivity and self-organization DOI

Xinghua Feng,

Fue Zeng, Becky P.Y. Loo

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105933 - 105933

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4

Spatiotemporal Dynamics and Driving Mechanism of Ecological Environment Quality in Piedmont-Oasis-Desert Ecotone Based on Long-term Harmonized Remote Sensing Ecological Index- Take Korla - Tiemenguan Oasis in Xinjiang as an Example DOI Creative Commons

Junling He,

Xifeng Ju, Chuqiao Han

и другие.

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100611 - 100611

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Decoding the Spatiotemporal Dynamics and Driving Mechanisms of Ecological Resilience in the Beijing-Tianjin-Hebei Urban Agglomeration: A Deep Learning Approach DOI
Fengliang Tang, Peng Zeng, Yuanyuan Guo

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Integration of convolutional neural networks with parcel-based image analysis for crop type mapping from time-series images DOI Creative Commons
Müslüm Altun, Mustafa TÜRKER

Earth Science Informatics, Год журнала: 2025, Номер 18(3)

Опубликована: Фев. 27, 2025

Язык: Английский

Процитировано

0

Research on the cultivated land use system resilience under a safe and just space framework DOI

Linsi LI,

Peipei Pan, Yuan Wang

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 125006 - 125006

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0

Developing an Integrated Risk Assessment Method for Ecological Protection Redlines to Optimize Ecological Protection Policies: Based on a Multidimensional Assessment Framework and Risk Path Analysis DOI
Haoran Gao,

Jian Gong,

Jiakang Liu

и другие.

Land Degradation and Development, Год журнала: 2025, Номер unknown

Опубликована: Апрель 1, 2025

ABSTRACT As urbanization and industrialization advance, China faces increasingly severe ecological challenges. The Ecological Protection Redline (EPR) policy is a crucial tool for land use management protection but requires comprehensive risk assessment method to address ongoing This study integrated multiple factors with resilience theory establish “Hazard‐Exposure‐Vulnerability‐Damage‐Final Risk” framework, assessing the spatiotemporal dynamics risks of different EPR types in Qinghai Province over 20 years. Path analysis was further used reveal relationships between stages. Results show increasing hazards exposure Water Conservation (WC), Biodiversity Maintenance (BM) Land Desertification (LD) types, improved water conservation, stable biodiversity, controlled desertification vulnerability across regions. Integrated results downward trend WC type, BM type fluctuated improved, an initial increase followed by decrease LD type. revealed that damage WC‐type driven direct hazard impacts, BM‐type vulnerability, LD‐type indirect effects through exposure. emphasizes optimization policies reducing external disturbances enhancing ecosystem resilience, providing recommendations practical experience sustainable management.

Язык: Английский

Процитировано

0

Spatiotemporal assessment of ecological quality and driving mechanisms in the Beijing metropolitan area DOI Creative Commons

Aibo Jin,

Hui Li, Xiangrong Wang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

0