Yan Zhang , Xinyi Yin , Yufei Li , Junqing Wei , Haofeng Wang , Peiheng Yu , Yiyun Chen
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引用次数: 0
Abstract
Ecological redlines (ERLs) are vital for conserving key ecological spaces and maintaining ecosystem connectivity. While existing research has focused primarily on ERLs delineation, less attention has been paid to assessing their impacts. To address this gap, we proposed an innovative framework integrating multi-scenario land use simulation and ecological network analysis to evaluate ERLs policy effectiveness. Using Wuhan as a case study, we simulated land use under four scenarios: business-as-usual (BAU), ecological baseline (EBL), ecological development line (EDL), and ecological redline (ERL). Subsequently, ecological network construction and connectivity analysis were implemented. The results revealed that: (1) ERLs implementation significantly protects cultivated land and curbs urban expansion. (2) Different ERLs vary in effectiveness: The EBL scenario optimizes large-scale ecological source protection; the EDL scenario features the highest number and longest total corridor length; the ERL scenario minimizes the number and area of ecological barrier points. (3) ERLs implementation does not significantly enhance overall network connectivity. (4) Most network indicators under the ERL scenario fall between the EBL and EDL results, demonstrating policy trade-offs in ecological protection. This study provides scientific references for the delineation, evaluation and optimization of ecological policy for sustainable development.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).