基于生态系统服务簇评价的长沙市生态修复优先区识别

蒋红波; 覃盟琳; 王政强; 罗丁丁; 吴欣芋

doi:10.12153/j.issn.1674-991X.20220983

基于生态系统服务簇评价的长沙市生态修复优先区识别

doi: 10.12153/j.issn.1674-991X.20220983

蒋红波^{1, 3,},
覃盟琳^{2, 3, ,},
王政强^{1, 3},
罗丁丁^{1, 3},
吴欣芋^{1, 3}

1.
广西大学林学院
2.
广西大学土木建筑工程学院
3.
广西大学人居环境设计研究中心

基金项目: 国家自然科学基金项目 (52268008)

详细信息

作者简介:
蒋红波（1998—），男，硕士研究生，主要从事景观生态规划与生态修复研究，1050512327@qq.com

通讯作者:
覃盟琳（1978—），男，副教授，主要从事生态低碳规划研究，XDrenju@163.com

中图分类号: X171.1
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- 文章访问数: 261
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- 被引次数: 0
出版历程
- 收稿日期: 2022-10-10
- 录用日期: 2023-04-21
- 修回日期: 2022-11-23
- 网络出版日期: 2023-05-15

Identification of priority areas for ecological restoration based on evaluation of ecosystem service bundles：taking Changsha City as an example

JIANG Hongbo^{1, 3
,},
QIN Menglin^{2, 3
, ,},
WANG Zhengqiang^{1, 3},
LUO Dingding^{1, 3},
WU Xinyu^{1, 3}

1.
College of Forestry, Guangxi University
2.
School of Civil Engineering and Architecture, Guangxi University
3.
Human Settlements Design and Research Center, Guangxi University

摘要

摘要:
为快速有效地划分长沙市生态修复优先级，构建了“生态系统服务簇—城市化强度”体系的生态修复优先区识别研究框架，运用生态系统服务价值计算模型、聚类分析、线性回归模型、空间统计等方法，识别研究区生态系统服务簇，对生态系统服务簇综合服务能力演变和城市化强度变化进行空间统计，进而识别出研究区生态修复优先区，并提出生态修复和保护策略。结果表明：城市扩张大量侵占城市周边土地，致使长沙市主城区4个生态系统服务簇在2000—2020年，有1 821个网格(占比为20.15%)发生了服务簇类型的改变；城市扩张破坏原有生态环境和景观格局，致使城市化发展对生态系统服务簇发展的影响始终是负面的，且随着城市化速度加快，其负面影响愈加明显；生态修复优先区被划分为5个等级，2 609个网格(占比为28.87%)需要进行生态修复，其中Ⅰ级生态修复优先区占比为13.53%，Ⅱ级、Ⅲ级、Ⅳ级占比分别为0.58%、12.53%、2.23%。Ⅰ级和Ⅲ级生态修复优先区应注重关键生态系统服务能力的提升，Ⅱ级和Ⅳ级生态修复优先区和生态保护区则应注重现有生态系统服务功能的保持。该方法能够快速定位高速城市化与生态系统受损同时发生的区域，并为不同分区修复策略的制定提供参考，在提升生态系统服务能力的同时，降低城市化对生态系统的负面影响。
- 生态修复 /
- 生态系统服务簇 /
- 优先区识别 /
- 长沙市
Abstract:
In order to quickly and effectively divide the priority of ecological restoration in Changsha City, a research framework for identifying the priority areas of territory space ecological restoration in the system of "ecosystem service bundle-urbanization intensity" was constructed. By using the calculation model of ecosystem service value, cluster analysis, linear regression model and spatial statistics, the ecosystem service bundles in the study area were indentified, as well as the evolution of the comprehensive service capacity of ecosystem service bundles and the change of urbanization intensity were analyzed by spatial statistics. The priority areas of ecological restoration in the study area were identified in turn, and ecological restoration and protection strategies were put forward. The results showed that urban expansion heavily encroached on the surrounding land, resulting in 1821 grids (accounting for 20.15%) of the four ecosystem service bundles in the main urban area of Changsha City changing their service bundle types from 2000 to 2020. Urban expansion destroyed the original ecological environment and landscape pattern, which made urbanization always have a negative impact on the development of ecosystem service bundles, and the negative impact became more and more obvious with the acceleration of urbanization. Ecological restoration priority areas were divided into five grades, and 2609 grids (accounting for 28.87%) needed ecological restoration, of which 13.53% were classified as Grade Ⅰ ecological restoration priority areas, with Grade Ⅱ accounting for 0.58%, Grade Ⅲ accounting for 12.53%, and Grade Ⅳ accounting for 2.23%. Priority areas of Grade Ⅰ and Ⅲ ecological restoration paid attention to the promotion of key ecosystem services, while those of Grade Ⅱ and Ⅳ ecological restoration and ecological protection areas paid attention to the maintenance of existing ecosystem services. This method could quickly locate the areas where high-speed urbanization and ecosystem damage occurred at the same time, and provide reference for the formulation of different zoning restoration strategies, which can improve the ecosystem service capacity and reduce the negative impact of urbanization on the ecosystem.
- ecological restoration /
- ecosystem service bundle /
- priority zone identification /
- Changsha City

HTML全文

图 1 研究区概况

Figure 1. Overview of the study area

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图 2 技术路线

Figure 2. Technology route

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图 3 不同聚类数轮廓系数

Figure 3. Contour coefficient of different bundle numbers

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图 4 各生态系统服务簇功能结构

注：图中数值为各生态系统服务类型在相应服务簇中的占比。

Figure 4. Functional structure of each ecosystem service bundle

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图 5 2000—2020年生态系统服务簇空间分布

Figure 5. Spatial distribution of ecosystem service bundles from 2000 to 2020

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图 6 生态系统服务簇综合服务能力与城市化强度相关关系

Figure 6. Relationship between comprehensive service capacity of ecosystem service bundles and urbanization intensity in Changsha City at various periods

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图 7 生态系统修复优先区

Figure 7. Priority areas for ecosystem restoration

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表 1 单位面积生态系统服务价值当量^[28-29]

Table 1. Ecosystem service value equivalent per unit area 元/hm²　

生态系统服务		旱地	水田	林地	草地	水系	湿地	建设用地	未利用地
一级类	二级类	旱地	水田	林地	草地	水系	湿地	建设用地	未利用地
供给服务	食物生产	2199.20	3518.71	653.29	603.70	2069.83	1319.52	0	0
	原料生产	1034.92	232.86	1500.63	888.30	595.08	1293.65	0	0
	水资源供给	51.75	−6804.57	776.19	491.59	21448.63	6701.08	0	0
调节服务	气体调节	1733.48	2871.89	4935.26	3122.00	1992.21	4915.85	0	51.75
	气候调节	931.42	1474.76	14766.96	8253.46	5924.89	9314.24	0	0
	净化环境	258.73	439.84	4327.24	2725.28	14359.46	9314.24	0	258.73
	水文调节	698.57	7037.43	9663.53	6045.63	264524.53	62690.04	−18628.49	77.62
支持服务	土壤保持	2664.91	25.87	6008.98	3803.32	2406.18	5976.64	10168.05	51.75
	维持养分循环	310.47	491.59	459.24	293.23	181.11	465.71	0	0
	生物多样性	336.35	543.33	5472.12	3458.34	6597.59	20361.97	0	51.75
文化服务	美学景观	155.24	232.86	2399.71	1526.50	4889.98	12237.88	0	25.87

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