喀斯特
约束(计算机辅助设计)
承载能力
生态文明
资源(消歧)
环境资源管理
生态学
环境科学
地理
计算机科学
中国
工程类
生物
机械工程
计算机网络
考古
作者
Wei Yang,Xiaohua Li,Yuchi Yang
标识
DOI:10.3389/fenvs.2024.1499757
摘要
Evaluating resource and environmental carrying capacity (RECC) within the framework of ecological civilization is essential for reconciling development with ecological preservation and optimizing land-use patterns. This evaluation through the lens of ecological civilization is crucial for effective resource allocation. This article introduces a technical framework specifically designed for analyzing and evaluating resource and environmental carrying capacity in karst regions, focusing on Anshun City in Guizhou Province as a case study. The framework follows a structured approach, i.e., “problem identification, problem decomposition, and decision-making assessment,” which proves effective for these evaluations. Furthermore, the integrated evaluation index system incorporating resources, environment, and socioeconomic factors under the principles of ecological civilization aligns with contemporary developmental requirements while reflecting the distinctive characteristics of the resources and environment in karst regions. This alignment enhances the specificity and relevance of the evaluation methodology. The application of the obstacle degree model strengthened the utility and depth of the evaluation results. Additionally, Pearson’s correlation analysis clarified the complex interrelationships among various index factors, highlighting the significant role of unique local resources in the carrying capacity of karst regions. Additionally, the article reveals a delay in the socioeconomic development of karst regions, which adversely impacts their carrying capacity. Thus, promoting regional economic growth is crucial for enhancing the overall carrying capacity. In light of these findings, the article proposes practical strategies to enhance resource and environmental carrying capacity. These include establishing technical standards for evaluation, accelerating industrial transfers focused on technological innovation, and enhancing market mechanisms for resource allocation.
科研通智能强力驱动
Strongly Powered by AbleSci AI