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从多尺度角度研究沈阳的生物承载力的时空分异。

Study on temporal and spatial differentiation of biocapacity in Shenyang from a multi-scale perspective.

机构信息

Jangho Architecture College, Northeastern University, Shenyang, Liaoning Province, China.

出版信息

PLoS One. 2022 Feb 7;17(2):e0263601. doi: 10.1371/journal.pone.0263601. eCollection 2022.

DOI:10.1371/journal.pone.0263601
PMID:35130288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8820629/
Abstract

Biocapacity of a region exhibits spatial differences owing to the limitations of regional scale and natural conditions. Based on the multi-scale perspective, we comprehensively studied and analyzed the temporal and spatial differences of the biocapacity of a region in an attempt to establish the groundwork for optimizing urban development and its utilization framework. By adopting the ecological footprint model along with multi-scale difference evaluation method, the municipal and county scales are incorporated into a unified analysis framework in this paper, thereby facilitating the exploration of the temporal and spatial differences in the biocapacity of Shenyang-a city in China-from 2005 to 2019. The results demonstrated that: 1) At the municipal scale, the biocapacity per capita fluctuated between 1.35 hm2/person and 2.22 hm2/person. It revealed an "up-down-up" trend, which appeared consistent with the Kuznets cycle; at the county scale, the biocapacity depicted spatial differences, while those of downtown and surrounding districts/counties developed a two-level ascending hierarchical structure. 2) The time series of footprint size and depth first ascended and then declined, and can be classified into four types: closed type, inverted U-type, S-type, and M-type. Among them, S-type and M-type have the phenomenon of over-utilizing the stock capital. 3) For a long time, the regional difference of biocapacity has mostly dwelt on two scales with an evident scale effect, and the biocapacity of Liaozhong District was the worst.

摘要

区域生物承载力因区域尺度和自然条件的限制而存在空间差异。基于多尺度视角,我们综合研究和分析了区域生物承载力的时空差异,试图为优化城市发展及其利用框架奠定基础。本文采用生态足迹模型和多尺度差异评价方法,将市级和县(市)级纳入统一的分析框架,探讨了中国沈阳市 2005 年至 2019 年生物承载力的时空差异。结果表明:1)在市级尺度上,人均生物承载力在 1.35 hm2/人和 2.22 hm2/人之间波动,呈现出“先降后升”的趋势,与库兹涅茨曲线一致;在县级尺度上,生物承载力存在空间差异,而市中心区和周边区县则呈现出两级上升的层次结构。2)足迹大小和深度的时间序列呈先升后降的趋势,可分为四类:封闭型、倒 U 型、S 型和 M 型。其中,S 型和 M 型存在过度利用存量资本的现象。3)长期以来,生物承载力的区域差异主要集中在两个尺度上,存在明显的尺度效应,辽中区的生物承载力最差。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/e915b142e383/pone.0263601.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/d7330d13b71e/pone.0263601.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/9e584b302b46/pone.0263601.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/3fc2d93eb2d9/pone.0263601.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/ff4efc25883d/pone.0263601.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/c340990e0e6c/pone.0263601.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/e915b142e383/pone.0263601.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/d7330d13b71e/pone.0263601.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/9e584b302b46/pone.0263601.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/3fc2d93eb2d9/pone.0263601.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/ff4efc25883d/pone.0263601.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/c340990e0e6c/pone.0263601.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/305a/8820629/e915b142e383/pone.0263601.g006.jpg

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