Quantitative Evaluation of Ecological Stress Caused by Land Use Transitions Considering the Location of Incremental Construction Lands: The Case of Southern Jiangsu in Yangtze River Delta Region
Quantitative Evaluation of Ecological Stress Caused by Land Use Transitions Considering the Location of Incremental Construction Lands: The Case of Southern Jiangsu in Yangtze River Delta Region
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考虑增量建设用地区位的土地利用转型生态压力定量评价——以长三角苏南地区为例
作者：
李平星;刘崇刚;曹辉
土地利用转型在连接社会经济发展与生态环境影响方面具有重要意义，已逐渐成为土地变化科学和可持续发展科学的研究热点。虽然各种研究已经确定了土地利用转型的生态效应，并提供了建议，以调节他们，很少有研究从不同的生态分化区域的空间位置的角度来研究建设用地的不同生态压力。以经济发达、城市化程度较高的苏南地区为例，提出了基于过程的生态适宜度空间异质性表征方法，并将苏南地区划分为5个生态适宜度等级区。考虑到生态适宜度较高的生态区建设用地造成的生态压力较大，对1990年后不同阶段新增建设用地的生态压力水平进行了评价。在此基础上，结合县级建设用地的面积和生态压力水平，进行了县级生态压力计算和县级区划。结果表明，生态适宜度最高、最低的生态区分别占49.85%、25.73%、15.56%、6.51%和2.34%。大部分新增建设用地的生态压力水平最高和中等偏高，主要分布在沿着和环太湖地区。苏南地区各阶段总体生态压力水平均处于较高水平，但县域生态压力水平的空间格局存在差异。根据每个单元中增加的建设用地数量与这些用地相关的平均应力水平之间的关系，确定了四种类型的区域，即，确定了H-H、H-L、L-H和L-L区，并提出了有针对性的土地利用法规建议。我们的结论是，从维护生态系统完整性的角度来看，增量建设用地的空间分布显着影响其生态后果。建设用地和生态适宜性都具有区位特异性，因此区位导向的评价可以为基于空间分异的生态后果确定土地利用变化的空间格局提供有效途径。必须提出针对具体地点的政策，以进行空间上精确的生态恢复和重新分配增量建设用地。
With their significance in connecting socio-economic development and related eco-environmental consequences, land use transitions have gradually become the focus of land change science and sustainability science. Although various research studies have determined the ecological effects of land use transitions and provided suggestions to regulate them, few studies have investigated the different ecological stress of construction lands from the perspective of their spatial locations in ecologically differentiated regions. Taking economically developed and highly urbanized southern Jiangsu in Eastern China as an example, we developed a process-based method to indicate the spatial heterogeneity of ecological suitability and divided southern Jiangsu into five-level ecological zones accordingly. Considering that construction lands in ecological zones with higher ecological suitability levels cause greater ecological stress, we evaluated the ecological stress levels of incremental construction lands at different stages after 1990. Then, we carried out the calculation of county-level ecological stress and county-level zoning based on both the area and ecological stress level of their incremental construction lands. Results indicated that ecological zones with the highest to lowest ecological suitability levels accounted for 49.85%, 25.73%, 15.56%, 6.51%, and 2.34%, respectively. The majority of the incremental construction lands had the highest and moderately high ecological stress levels, and they were mainly distributed in areas along the Yangtze River and around Taihu Lake. The general ecological stress level of southern Jiangsu was at a relatively high level at each stage, but the county-level patterns of ecological stress levels were spatially different. As determined from the relationship between the amount of incremental construction lands and the average stress level associated with these lands in each unit, four types of zones, i.e., H-H, H-L, L-H and L-L zones, were identified, and targeted suggestions on land use regulations were proposed. We conclude that the spatial distribution of incremental construction lands significantly affects their ecological consequences from the perspective of maintaining ecosystem integrity. Both construction lands and ecological suitability are location specific, so the location-oriented evaluations could provide an effective approach for determining the spatial patterns of land use transitions based on spatially differentiated ecological consequences. It is essential to propose location-specific policies to carry out spatially precise ecological restoration and the redistribution of incremental construction lands.
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DOI：
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发表时间：
1998
期刊：
--
影响因子：
--
作者：
S. Villalba;H. Gulinck;G. Verbeylen;Erik Matthysen
通讯作者：
S. Villalba;H. Gulinck;G. Verbeylen;Erik Matthysen
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DOI：
10.1016/j.ecolind.2020.106507
发表时间：
2020-10
期刊：
Ecological Indictors
影响因子：
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作者：
Changyan Wu;Bowen Chen;Xianjin Huang;Y.H. Dennis Wei
通讯作者：
Y.H. Dennis Wei
影响因子：
--
作者：
Chen Li
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Chen Li
基于GIS的评估模型模拟黄河三角洲自然保护区国土开发空间压力
DOI：
10.1007/s10661-017-6038-8
发表时间：
2017-06
期刊：
Environal Moniting and Assessment
影响因子：
--
作者：
Baolei Zhang;Qiaoyun Zhang;Qingyu Feng;Bohao Cui;Shumin Zhang
通讯作者：
Shumin Zhang
影响因子：
8.7
作者：
Kaipeng Xu;Jinnan Wang;Jingjing Wang;Xiahui Wang;Y. Chi;Xiao Zhang
通讯作者：
Kaipeng Xu;Jinnan Wang;Jingjing Wang;Xiahui Wang;Y. Chi;Xiao Zhang