Evaluating urban land carrying capacity based on the ecological sensitivity analysis : a case study in Hangzhou, China

Tsou, Jinyeu and Gao, Yanfei and Zhang, Yuanzhi and Sun, Genyun and Ren, Jinchang and Li, Yu (2017) Evaluating urban land carrying capacity based on the ecological sensitivity analysis : a case study in Hangzhou, China. Remote Sensing, 9 (6). 529. ISSN 2072-4292 (https://doi.org/10.3390/rs9060529)

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Abstract

In this study, we present the evaluation of urban land carrying capacity (ULCC) based on an ecological sensitivity analysis. Remote sensing data and geographic information system (GIS) technology are employed to analyze topographic conditions, land-use types, the intensity of urban development, and ecological environmental sensitivity to create reasonable evaluation indicators to analyze urban land carrying capacity based on ecological sensitivity in the rapidly developing megacity of Hangzhou, China. In the study, ecological sensitivity is grouped into four levels: non-sensitive, lightly sensitive, moderately sensitive, and highly sensitive. The results show that the ecological sensitivity increases progressively from the center to the periphery. The results also show that ULCC is determined by ecologically sensitive levels and that the ULCC is categorized into four levels. Even though it is limited by the four levels, the ULCC still has a large margin if compared with the current population numbers. The study suggests that the urban ecological environment will continue to sustain the current population size in the short-term future. However, it is necessary to focus on the protection of distinctive natural landscapes so that decision makers can adjust measures for ecological conditions to carry out the sustainable development of populations, natural resources, and the environment in megacities like Hangzhou, China.

ORCID iDs

Tsou, Jinyeu, Gao, Yanfei, Zhang, Yuanzhi, Sun, Genyun, Ren, Jinchang ORCID logoORCID: https://orcid.org/0000-0001-6116-3194 and Li, Yu;
CORE (COnnecting REpositories)