Identification, Attribution, and Mitigation of Agricultural–Ecological Functional Conflicts in Urban Agglomerations

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2565 - 2565

Published: March 14, 2025

Amid the increasing demands for ecological civilization and food security, addressing conflicts between agricultural functions has become a critical priority in spatial governance. Focusing on Chang-Zhu-Tan Urban Cluster, this study establishes multi-indicator evaluation framework employs weighted model to measure functions. The ESDA characterizes distribution clustering patterns of conflicts, while RF identifies key drivers underlying mechanisms. results indicate following: (1) Agricultural exhibit “center-weak, periphery-strong” pattern, with high-function zones covering over 60% area, whereas are primarily concentrated low-function zones, areas localized northeast. Overall, agro-ecological functionality declined from 2000 2020, accompanied by increased gradient differentiation. (2) High-conflict decreased 7.73% during period, medium-conflict conflict-free expanded. Spatially, trend “peripheral mitigation high central expansion low conflicts” emerged. (3) Natural environmental factors were primary conflict dynamics, land use gained significance time. Elevation slope dominated economic density crop planting area more influential 2010. Synergistic effects observed, slope–precipitation interactions providing strongest explanatory power. This offers empirical insights into managing agricultural–ecological thereby contributing enhanced governance sustainable development practices.

Language: Английский

Spatiotemporal Changes and the Drivers of Ecological Environmental Quality Based on the Remote Sensing Ecological Index: A Case Study of Shanxi Province, China

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 952 - 952

Published: April 28, 2025

Ecological transition zones spanning semi-humid to semi-arid regions pose distinctive monitoring challenges owing their climatic vulnerability and geomorphic diversity. This study focuses on Shanxi Province, a typical ecologically fragile area in the Loess Plateau of China. Based Google Earth Engine (GEE) platform Moderate Resolution Imaging Spectroradiometer (MODIS) datasets, we established Remote Sensing Index (RSEI) series from 2000 2024 for Province. The Theil–Sen Median, Mann–Kendall, Hurst indices were comprehensively applied systematically analyze spatiotemporal differentiation patterns ecological environmental quality. Furthermore, geodetector-based quantification elucidated synergistic interactions among topographic, climatic, anthropogenic drivers. results indicate following: (1) From 2024, restoration initiatives have shaped an “aggregate improvement-localized degradation” paradigm, with medium-quality territories persistently accounting 30–40% total land area. (2) Significant spatial heterogeneity exists, Lüliang Mountain west Datong Basin north being core degradation zones, while Taihang east shows remarkable improvement. However, Median–Hurst index predictions reveal that 60.07% improved areas face potential trend reversal risks. (3) driving mechanisms exhibit heterogeneity, where use type, temperature, precipitation, elevation, slope serve as global dominant factors. research provides scientific support formulating differentiated strategies, establishing compensation mechanisms, optimizing territorial planning contributing achievement sustainable development goals.

Language: Английский