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About o Why Publish with PLOS ONE o Journal Information o Staff Editors o Editorial Board o Section Editors o Advisory Groups o Publishing Information o Publication Fees o Press and Media o Contact Browse advanced search Loading metrics OPEN ACCESS PEER-REVIEWED RESEARCH ARTICLE A Comparative Analysis on Assessment of Land Carrying Capacity with Ecological Footprint Analysis and Index System Method Yao Qian, Lina Tang , Quanyi Qiu, Tong Xu, Jiangfu Liao
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Published: June 29, 2015 Article Authors Metrics Comments Related Content Reader Comments (0) Media Coverage Figures Figures Abstract Land carrying capacity (LCC) explains whether the local land resources are effectively used to support economic activities and/or human population. LCC can be evaluated commonly with two approaches, namely ecological
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footprint analysis (EFA) and the index system method (ISM). EFA is helpful to investigate the effects of different land categories whereas ISM can be used to evaluate the contributions of social, environmental, and economic factors. Here we compared the two LCC-evaluation approaches with data collected from Xiamen City, a typical region where rapid economic growth and urbanization are found in China. The results show that LCC assessments with EFA and ISM not only complement each other but also are mutually supportive. Both assessments suggest that decreases in arable land and increasingly high energy consumption have major negative effects on LCC and threaten sustainable development for Xiamen City. It is important for the local policy makers, planners and designers to reduce ecological deficits by controlling fossil energy consumption, protecting arable land and forest land from converting into other land types, and slowing down the speed of urbanization, and to promote sustainability by controlling rural-to-urban immigration, increasing hazard-free treatment rate of household garbage, and raising energy consumption per unit industrial added value. Although
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