Landscape Pattern and Its Vulnerability of Urban Wetland at Huainan County, Anhui Province—A Case Study at Datong Abandoned Mine Ecological Wetland Restoration Area

Wang Nan; Wang Guisheng; Guo Weiling

doi:10.13961/j.cnki.stbctb.2020.06.024

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Landscape Pattern and Its Vulnerability of Urban Wetland at Huainan County, Anhui Province—A Case Study at Datong Abandoned Mine Ecological Wetland Restoration Area

- Landscape Pattern and Its Vulnerability of Urban Wetland at Huainan County, Anhui Province—A Case Study at Datong Abandoned Mine Ecological Wetland Restoration Area
- Bulletin of Soiland Water Conservation Vol. 40, Issue 6, Pages: 168-174(2020)
- 作者机构：
  
  1. 安徽理工大学空间信息与测绘工程学院,安徽,淮南,232001
  2. 矿山采动灾害空天地协同监测与预警安徽省教育厅重点实验室,安徽,淮南,232001
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2020.06.024
  CLC： X826
- Published：2020
- 稿件说明：
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Wang Nan, Wang Guisheng, Guo Weiling. Landscape Pattern and Its Vulnerability of Urban Wetland at Huainan County, Anhui Province—A Case Study at Datong Abandoned Mine Ecological Wetland Restoration Area[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 168-174.
DOI：

Wang Nan, Wang Guisheng, Guo Weiling. Landscape Pattern and Its Vulnerability of Urban Wetland at Huainan County, Anhui Province—A Case Study at Datong Abandoned Mine Ecological Wetland Restoration Area[J]. Bulletin of Soiland Water Conservation, 2020, 40(6): 168-174. DOI： 10.13961/j.cnki.stbctb.2020.06.024.

摘要

[目的] 对城市湿地景观格局及其脆弱性进行研究，为城市湿地保护和可持续发展提供科学依据。[方法] 以安徽省淮南市大通城市湿地为例，基于高空间分辨率WorldView-3遥感影像，提取景观类型分布信息，选取景观多样性指数、斑块密度、斑块数量等景观空间结构指标，综合利用地理信息系统（GIS）技术与景观生态学方法定量分析大通城市湿地的景观格局及其异质性。基于景观敏感度和适应度指数构建景观脆弱度评价模型，进而评价大通城市湿地的景观脆弱度。[结果] ①大通湿地内景观类型以乔木、水体和裸地等类型为主，各类型的数量规模相对均衡；②各景观类型在空间上呈交错分布，形成明显的"网状结构"，水体、裸地和水杉林分布相对连续，其他景观的破碎化程度较高，呈现出异质性；③景观格局脆弱度以低脆弱度为主，呈现显著空间正自相关性和空间聚集模式，主要集聚类型的"高-高"值集聚区域及脆弱度的热点区主要分布东部裸地，"低-低"值集聚区及脆弱度冷点主要分布在水体区。④景观脆弱度与植被覆盖度、景观格局的复杂度具有空间一致性，即植被覆盖越高且空间分布的交错性越强，其脆弱性越小。[结论] 大通湿地内景观类型主要包括乔木、水体和裸地，景观脆弱性以低脆弱度为主，空间上表现为显著的集聚模式，且与植被覆盖度、景观格局的复杂度具有空间一致性。

Abstract

[Objective] The landscape pattern and its vulnerability of urban wetland were investigated in order to provide a scientific basis for urban wetland protection and sustainable development.[Methods] Based on the high-resolution WorldView-3 remote sensing images

the distribution information of landscape types was extracted

and the landscape spatial structure indicators including landscape diversity index

patch density and number of patches were selected

and the spatial pattern and heterogeneity of landscape composition as well as the landscape vulnerability were evaluated by using geographic information system technology and theory of landscape ecology in the Datong wetland of Huainan City in Anhui Province. Based on the landscape sensitivity and fitness indexes

the landscape vulnerability assessment model was constructed to evaluate the landscape vulnerability of Datong urban wetlands.[Results] ① The landscapes in Datong wetland with balanced area scale were dominated by arbor

water

and bare land. ② The landscapes were interlaced in space and formed a distinct "network structure"

among which

the water

bare land

and Metasequoia glyptostroboides were continuously distributed

while the others were highly fragmented and heterogeneous. ③ The vulnerability of landscape pattern was dominated by low vulnerability

showing significant positive spatial autocorrelation and spatial aggregation pattern. The main "high-high" value aggregation areas and vulnerability hot spots were mainly distributed in eastern bare land. The "low-low" value agglomeration area and vulnerability cold spots were mainly distributed in the water body area. ④ Landscape vulnerability was consistent with vegetation coverage and landscape pattern complexity

that was

the higher the vegetation coverage and the greater the interlace of spatial distribution

the less vulnerable it was.[Conclusion] The landscape types in the Datong wetland mainly include arbor

water bodies

and bare land. The vulnerability of the landscape is mainly low

and shows a significant spatial agglomeration pattern. It has spatial consistency with the vegetation coverage and the complexity of the landscape pattern.

关键词

Keywords

references

Cieoge M, Barry G W, Edward A. Wetlands:environmental gradients, boundaries, and buffers[M]. Boca Raton:CRC Press, 1996.

孙广友,王海霞,于少鹏.城市湿地研究进展[J].地理科学进展,2004,23(5):94-100.

刘厚田.湿地的定义和类型划分[J].生态学杂志,1995,14(4):73-77.

王建华,吕宪国.城市湿地概念和功能及中国城市湿地保护[J].生态学杂志,2007,26(4):555-560.

翟万林,龙江平,乔吉果,等.长江口滨海湿地景观格局变化及其驱动力分析[J].海洋学研究,2010,28(3):17-22.

周亮进,由文辉.闽江河口湿地景观格局动态及其驱动力[J].华东师范大学学报(自然科学版),2007(6):77-87.

孙才志,闫晓露,钟敬秋.下辽河平原景观格局脆弱性及空间关联格局[J].生态学报,2014,34(2):247-257.

孙才志,陈富强.鸭绿江口滨海湿地景观生态健康评价[J].湿地科学,2017,15(1):40-46.

徐燕,孙小银,张大智,等.1980-2015年南四湖流域景观格局及其脆弱性[J].应用生态学报,2018,29(2):635-642.

Riva-Murray K, Riemann R, Murdoch P, et al. Landscape characteristics affecting streams in urbanizing regions of the Delaware River Basin (New Jersey, New York, and Pennsylvania, US)[J]. Landscape Ecology, 2010, 25(10):1489-1503.

张明亮,史同广,王海霞.近20年来开封湿地景观动态与保护对策[J].水土保持研究,2007,14(1):198-201.

郑忠明,李华,周志翔,等.城市化背景下近30年武汉市湿地的景观变化[J].生态学杂志,2009,28(8):1619-1623.

孔春芳,王静,张毅,等.武汉城市湿地景观格局时空结构演化及驱动机制研究[J].中山大学学报(自然版),2012,51(4):119-128.

张猛,曾永年.长株潭城市群湿地景观时空动态变化及驱动力分析[J].农业工程学报,2018,34(1):241-249.

汪建文,王季槐,吴纪华.国家城市湿地公园景观格局分析:以贵阳市花溪城市湿地公园为例[J].贵州科学,2013,31(6):80-84.

杨利,李会敏.西洞庭湖青山湖国家城市湿地公园景观格局变化研究[J].华中师范大学学报(自然科学版),2017,51(5):690-699.

Gitay H, Finlayson C M, Davidson N. A Framework for assessing the vulnerability of wetlands to climatechange[R]. Swizerland Gland:Ramsar Convention Secretariat, 2011.

Ma J. A geospatial methodology for assessing wetland vulnerability under anthropogenic pressures at a watershed scale[D]. Kansas City:University of Missouri, 2006.

Stratford C J, Acreman M G, Rees H G, et al. A vulnerability assessment method for wetlands in the Himalayan Region[R]. Edinburgh:Centre for Ecology and Hydrology, 2008.

Johnson W C, Millett B V, Gilmanov T, et al. Vulnerability of northern prairie wetlands to climate change[J]. BioScience, 2005, 55(10):863-872.

买凯乐,张文辉.基于ALOS影像的黄土丘陵区典型流域景观空间格局[J].应用生态学报,2011,22(3):741-747.

杨朝辉,苏群,朱铮宇,等.利用Landsat 8遥感影像的苏州市湿地景观健康初步评价[J].湿地科学,2016,14(5):628-634.

张雨曲.安徽淮南大通煤矿废弃矿区生态修复研究[D].北京:首都师范大学,2009.

王楠,汪桂生,张震.高分遥感影像下的大通废弃煤矿区生态修复林淹水胁迫灾情信息提取[J].测绘通报,2018(7):13-17,47.

李国元,胡芬,张重阳,等. WorldView-3卫星成像模式介绍及数据质量初步评价[J].测绘通报,2015(S1):11-16.

李团胜,肖笃宁.沈阳市城市景观结构分析[J].地理科学,2005,22(6):717-723.

贺佳,张莹.陕西省生态环境景观格局脆弱性及空间关联研究[J].环境科学与管理,2017,42(5):146-149.

姜永华,江洪.基于RS与GIS的森林景观空间异质性研究:以杭州市余杭区为例[J].中国农学通报,2008,24(6):139-145.

Timmerman P. Vulnerability resilience and collapse of society:A review of models and possible climatic appli-cations[R]. Toronto, Canada:Institute for Environmental Studies, University of Toronto, 1981.

欧阳志云,王效科.中国生态敏感性及其区域差异规律研究[J].生态学报,2000,20(1):9-12.

宁静,张树文,王蕾,等.农林交错区景观敏感性分析:以黑龙江省牡丹江地区为例[J]. 东北林业大学学报,2009,37(1):35-38.

韩振华,李建东,殷红,等.基于景观格局的辽河三角洲湿地生态安全分析[J].生态环境学报,2010,19(3):701-705.

李克让,曹明奎,吴绍洪.中国自然生态系统对气候变化的脆弱性评估[J].地理研究,2005,24(5):653-663.

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