Optimization of Production–Living–Ecological Space in National Key Poverty-Stricken City of Southwest China

Di Wang,Dong Jiang,Jingying Fu

doi:10.3390/land11030411

Abstract

Trade-offs and conflicts among different sectors of production, living, and ecology have become important issues in regional sustainable development planning due to both the versatility and limitation of land resources, especially in poverty-stricken mountainous areas. This study builds an optimization model to assist policymakers in simulating land demand and allocation in the future. The model takes socioeconomic and demographic development into consideration and couples local planning policy with land use data from the perspective of system integration. The model was employed for a case study of Zhaotong city to optimize production–living–ecological (PLE) space. The results show that the model provides a feasible method to explore the sustainable development pattern of territorial space, especially in distressed regions.

Highlights

Poverty-Stricken City of SouthwestInteractions between human and the environment have attracted increasing attention [1].In general, cross-sectoral issues involve a variety of social and natural knowledge [2]
This paper aims to build an optimization model based on system dynamics and FLUS
PLE space is divided into production, living, and ecological space based on land-use data

Summary

Introduction

Interactions between human and the environment have attracted increasing attention [1]. Cross-sectoral issues involve a variety of social and natural knowledge [2]. Gaps between natural and social sciences imply that understanding the mechanisms underlying human–environment systems from a systematic perspective is crucial to sustainable development [3]. Several studies have reflected the fact that the problems are multi-scale and complex while the solutions are diverse [4,5]. Effective domestic policymaking hinges on diverse stakeholders, which plays a critical role in accelerating the localization of the SDGs (Sustainable Development Goals, proposed by the United Nations in 2015) [6]. National development plans for the 2030 Agenda in many countries try to position human, social, environmental, economic, and institutional objectives at the same level [7–9]. A scientific challenge that obviously exists in sustainable issues is trade-offs and compensation. The achievement of one SDG is often at the cost of sacrificing or assisting another [10–13]

Objectives

Methods

Results