The response of ecosystem services to ecological spatial network patterns in China’s arid and semi-arid regions DOI Creative Commons
Yu Wang, Qiang Yu,

Buyanbaatar Avirmed

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113300 - 113300

Опубликована: Март 1, 2025

Язык: Английский

Study on the relationship between ecological spatial network structure and regional carbon use Efficiency: A case study of the Wuding river basin DOI Creative Commons
Yufan Zeng, Xiang Chen, Ziyan Yang

и другие.

Ecological Indicators, Год журнала: 2023, Номер 155, С. 110909 - 110909

Опубликована: Сен. 11, 2023

Plant carbon use efficiency (CUE) reflects the assimilation ability and sequestration potential of organisms, is an important quantitative index in ecology. Therefore, investigating CUE can better understand explore ecosystem flux allocation patterns. In this paper, Wuding River Basin taken as research area. MODIS were used to calculate its spatiotemporal variations. Using remote sensing environmental indicators (RSEI) extract ecological sources, MCR model construct spatial network. By analogy with complex network theory, topological indicators, combine significance investigate relationship between these considering their significance. The results are follows: (1) average value slightly increased, overall increase southeastern part study area, minor changes southern parts, decrease western northern parts basin. (2) showed a strong positive correlation closeness centrality, betweenness harmonic negative eccentricity, while no significant was found component number.

Язык: Английский

Процитировано

10

Developing Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab DOI Creative Commons

Tauqeer Nawaz,

Muhammad Gohar Ismail Ansari, Qiang Yu

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 431 - 431

Опубликована: Янв. 27, 2025

Carbon neutrality is an important goal for addressing global warming. It can be achieved by increasing carbon storage and reducing emissions. Vegetation plays a key role in storing carbon, but it often lost or damaged, especially areas affected desertification. Therefore, restoring vegetation these crucial. Using advanced techniques to improve ecosystem structure support ecological processes, enhance soil environmental conditions, encourage growth, boost effectively. This study focuses on optimizing Ecological Spatial Networks (ESNs) revitalization regional development, employing such as the MCR model corridor construction, spatial analysis, Gephi mapping topological attributes. Various metrics were used evaluate network performance, while EFCT was applied optimize ESN maximize sinks. In Thal Desert, source patches (ESPs) divided into four modularity levels (15.6% 49.54%) five communities. The northeastern southwestern regions showed higher functionality lower connectivity, central region exhibited reverse. To structure, 27 51 corridors added 76 existing patches, including 56 forest 20 water/wetland using model. optimized resulted 14.97% improvement sink capacity compared unoptimized primarily due better functioning of wetland areas. Enhanced connectivity between components contributed more resilient stable ESN, supporting both sustainability sequestration.

Язык: Английский

Процитировано

0

Balancing on Carbon Storage and Ecological Security in Urban Areas: the Case of Dongguan City, China DOI Creative Commons
Xinyi Wang, Fenzhen Su, Fengqin Yan

и другие.

Sustainable Futures, Год журнала: 2025, Номер unknown, С. 100468 - 100468

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Integrating circuit theory and network modeling to identify ecosystem carbon sequestration service flow networks DOI Creative Commons

Chen Qu,

Jia Xu,

Wen Li

и другие.

Ecological Informatics, Год журнала: 2025, Номер unknown, С. 103077 - 103077

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The response of ecosystem services to ecological spatial network patterns in China’s arid and semi-arid regions DOI Creative Commons
Yu Wang, Qiang Yu,

Buyanbaatar Avirmed

и другие.

Ecological Indicators, Год журнала: 2025, Номер 172, С. 113300 - 113300

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0