江苏盐城滨海湿地系统格局变化及其对丹顶鹤生境的影响
Pattern change of the coastal wetland system and its dynamic impact on the habitat of red-crowned cranes in Yancheng, Jiangsu Province
- 2021年25卷第12期 页码:2507-2519
纸质出版日期: 2021-12-07
DOI: 10.11834/jrs.20210606
扫 描 看 全 文

浏览全部资源
扫码关注微信
纸质出版日期: 2021-12-07 ,
扫 描 看 全 文
李景霞,付碧宏.2021.江苏盐城滨海湿地系统格局变化及其对丹顶鹤生境的影响.遥感学报,25(12): 2507-2519
Li J X and Fu B H. 2021. Pattern change of the coastal wetland system and its dynamic impact on the habitat of red-crowned cranes in Yancheng, Jiangsu Province. National Remote Sensing Bulletin, 25(12):2507-2519
世界遗产地江苏盐城滨海湿地是亚洲最重要的丹顶鹤越冬栖息地之一,近几十年来,由于农业、工业、水产养殖业及城镇化等人类活动的加强,湿地系统的格局发生了巨大变化,丹顶鹤适宜生境出现急剧退化。本研究利用1989年—2019年间的多时相遥感数据对盐城滨海湿地进行分类,分析湿地系统的格局变化及丹顶鹤生境连接度的动态变化。研究结果表明,过去30年盐城滨海湿地中自然湿地呈现快速退化,其面积减少49.46%;而人工湿地面积增长69.24%,其面积增加主要通过占用自然湿地和围垦填海的方式来实现,围垦重心具有自北向南和从陆到海方向迁移的趋势。其中,作为丹顶鹤适宜生境的碱蓬盐沼和盐碱地的面积减少了489.10 km²,适宜生境面积占比从1989年19.88%降至2019年4.36%。结构连接度计算结果显示,适宜生境斑块的连接度指数从1.83下降至1.30,斑块间距离增大,破碎化加剧;而功能连接度的计算结果显示,2019年整体连接度指数和概率连接度指数均小于0.01,连接网络总体破碎,适宜生境连接网络存在于小区域范围,区域连接网络主要集中在中介度指数高的遗产地核心区和条子泥湿地,它们是丹顶鹤适宜生境的关键节点。遗产地核心区自2014年实行退耕还湿、退渔还湿等措施以来,丹顶鹤适宜生境有了很大改善。建议除了加强对现有丹顶鹤适宜生境区域的科学保护外,应加大对关键节点自然湿地的恢复力度,提高丹顶鹤适宜生境斑块间的连接度。
The Yancheng coastal wetland in Jiangsu province
as a UNESCO (United Nations Educational
Scientific and Cultural Organization) natural heritage site with an area of 2687 km²
is one of the most important habitats for the overwintering of red-crowned cranes in Asia. In recent decades
due to the combined effects of intensive human activities in sectors
such as industry
agriculture
aquaculture
and urbanization
the pattern of coastal wetland system and the suitable habitat for red-crowned cranes have changed dramatically. Therefore
the spatio-temporal variation pattern of coastal wetland system must be identified
and its key impact factors must be explored to protect the coastal wetland and conserve its biodiversity. Currently
research on land cover changes in the Yancheng coastal wetland is insufficient for species habitat monitoring. Thus
further study on the suitable habitat for red-crowned cranes in a long-term and large regional scale is warranted.
In this study
multi-temporal and multi-source remote sensing data
such as Landsat TM/OLI data during 1989 to 2019 and Sentinel-2 data in 2019
were used to analyze the features of spatio-temporal variation in the Yancheng coastal wetland. First
the classification system and image interpretation symbols of the study area were established to draw the maps of classification and transfer distribution in six periods from 1989 to 2019. Then
the structural and functional connectivity of the suitable habitat for red-crowned cranes were evaluated on the basis of the species diffusion ability. Finally
the key ecological nodes for the overwintering of red-crowned cranes were evaluated.
Results show that the eco-environment of natural wetland has degraded rapidly
with an area loss of 49.46%. Contrastingly
the artificial wetland increased by 69.24%
which was mainly realized by occupying the natural wetland and reclaiming the tidal flat. The center of reclamation tended to migrate from north to south and from coastal land to sea. The area of seepweed saltmarsh and alkaline land as suitable habitat decreased by 489.10 km²
with a proportion decreased from 19.88% in 1989 to 4.36% in 2019. As for structural connectivity
our results reveal that the connectance index of suitable habitat patches decreased from 1.83 to 1.30
showing a downward trend. The distance between the patches increased and the fragmentation intensified. Concurrently
the estimations of functional connectivity index demonstrate that the integral and probability indexes of connectivity in 2019 are less than 0.01. The functional connectivity decreased
and the connection network was generally broken with only a small part of the connection network with high betweenness centrality index. They exist in the core area of UNESCO natural heritage site and the Tiaozini region. They are also the key ecological nodes for the habitat of red-crowned cranes.
In summary
the connectivity of the suitable habitat for red-crowned cranes has decreased sharply because of land cover changes in the UNESCO natural heritage site—Yancheng coastal wetland in the past 30 years. However
the habitat for red-crowned cranes has been greatly improved since the core area has reverted aquaculture pond and cultivated land to natural wetland in 2014. In addition to enhancing the scientific conservation of the existing suitable habitat
such as the core area of UNESCO natural heritage site and Tiaozini region
the key ecological nodes in the natural wetland should be restored to improve the connectivity among the habitat patches.
遥感应用滨海湿地丹顶鹤生境世界自然遗产地多时相遥感景观连接度
remote sensing applicationcoastal wetlandhabitat for red-crowned cranesUNESCO natural heritage sitemulti-temporal remote sensinglandscape connectivity
Carrasco L, Vera P, Belda E J and Monrós J S. 2018. Combining remote sensing and field mapping methods to study the vegetation dynamics within a coastal wetland and determine the habitat effects of a threatened bird species (Emberiza schoeniclus witherbyi). Journal of Coastal Research, 34(1): 42-49 [DOI: 10.2112/JCOASTRES-D-16-00194.1http://dx.doi.org/10.2112/JCOASTRES-D-16-00194.1]
Chen L, Ren C Y, Wang C, Yao Y C and Song K S. 2017. Dynamic of coastal wetlands of the Yellow River Delta for 6 Periods. Wetland Science, 15(2): 179-186
陈琳, 任春颖, 王灿, 姚云长, 宋开山. 2017. 6个时期黄河三角洲滨海湿地动态研究. 湿地科学, 15(2): 179-186 [DOI: 10.13248/j.cnki.wetlandsci.2017.02.003http://dx.doi.org/10.13248/j.cnki.wetlandsci.2017.02.003]
Duan H L, Xia S X, Jackson M V, Zhao N, Liu Y, Teng J K, Meng Z, Yu X B and Shi J B. 2020. Identifying new sites of significance to waterbirds conservation and their habitat modification in the Yellow and Bohai Seas in China. Global Ecology and Conservation, 22: e01031 [DOI: 10.1016/j.gecco.2020.e01031http://dx.doi.org/10.1016/j.gecco.2020.e01031]
Gong N, Niu Z G, Qi W and Zhang H Y. 2016. Driving forces of wetland change in China. Journal of Remote Sensing, 20(2): 172-183
宫宁, 牛振国, 齐伟, 张海英. 2016. 中国湿地变化的驱动力分析. 遥感学报, 20(2): 172-183 [DOI: 10.11834/jrs.20164210http://dx.doi.org/10.11834/jrs.20164210]
Han Q Q and Niu Z G. 2019. China intertidal zone dataset based on tidal correction. Journal of Global Change Data and Discovery, 3(1): 42-47
韩倩倩, 牛振国. 2019. 基于潮位校正的中国潮间带模拟数据集. 全球变化数据学报, 3(1): 42-47 [DOI: 10.3974/geodp.2019.01.06http://dx.doi.org/10.3974/geodp.2019.01.06]
Han Q Q, Niu Z G, Wu M Q and Wang J W. 2019. Remote-sensing monitoring and analysis of China intertidal zone changes based on tidal correction. Chinese Science Bulletin, 64(4): 456-473
韩倩倩, 牛振国, 吴孟泉, 王靖雯. 2019. 基于潮位校正的中国潮间带遥感监测及变化. 科学通报, 64(4): 456-473 [DOI: 10.1360/N972018-00723http://dx.doi.org/10.1360/N972018-00723]
Li Y F and Liu H Y. 2014. Advance in wetland classification and wetland landscape classification researches. Wetland Science, 12(1): 102-108
李玉凤, 刘红玉. 2014. 湿地分类和湿地景观分类研究进展. 湿地科学, 12(1): 102-108 [DOI: 10.13248/j.cnki.wetlandsci.2014.01.019http://dx.doi.org/10.13248/j.cnki.wetlandsci.2014.01.019]
Liao H J, Li G S, Wang S H, Cui L L and Ouyang N L. 2014. Evolution and spatial patterns of tidal wetland in North Jiangsu Province in the past 30 Years. Progress in Geography, 33(9): 1209-1217
廖华军, 李国胜, 王少华, 崔林林, 欧阳宁雷. 2014. 近30年苏北滨海滩涂湿地演变特征与空间格局. 地理科学进展, 33(9): 1209-1217 [DOI: 10.11820/dlkxjz.2014.09.008http://dx.doi.org/10.11820/dlkxjz.2014.09.008]
Lin W P, Cen J W, Xu D, Du S Q and Gao J. 2018. Wetland landscape pattern changes over a period of rapid development (1985-2015) in the Zhoushan Islands of Zhejiang province, China. Estuarine, Coastal and Shelf Science, 213: 148-159. [DOI: 10.1016/j.ecss.2018.08.024http://dx.doi.org/10.1016/j.ecss.2018.08.024]
Liu D W, Zhang Y L, Sun Y, Lü S C, Cheng H, Mu S J and Lu C H. 2016. Population dynamics and habitat selection of overwintering red-crowned cranes in coastal wetland of Yancheng, Jiangsu Province. Journal of Ecology and Rural Environment, 32(3): 473-477
刘大伟, 张亚兰, 孙勇, 吕士成, 成海, 穆少杰, 鲁长虎. 2016. 江苏盐城滨海湿地越冬丹顶鹤种群动态变化与生境选择. 生态与农村环境学报, 32(3): 473-477 [DOI: 10.11934/j.issn.1673-4831.2016.03.021http://dx.doi.org/10.11934/j.issn.1673-4831.2016.03.021]
Liu L, Liu H Y, Li Y F, Wang J and Xie F F. 2018. Dynamic changes in population size and habitat distribution of wintering red-crowned crane in northern Jiangsu Province. Acta Ecologica Sinica, 38(3): 926-933
刘伶, 刘红玉, 李玉凤, 王娟, 谢富赋. 2018. 苏北地区丹顶鹤越冬种群数量及栖息地分布动态变化. 生态学报, 38(3): 926-933 [DOI: 10.5846/stxb201611022231http://dx.doi.org/10.5846/stxb201611022231]
Liu R H, Liang S C, Zhao H Y, Qi G C, Li L X, Jiang Y and Niu Z G. 2017. Progress of Chinese coastal wetland based on remote sensing. Remote Sensing Technology and Application, 32(6): 998-1011
刘润红, 梁士楚, 赵红艳, 漆光超, 李丽香, 姜勇, 牛振国. 2017. 中国滨海湿地遥感研究进展. 遥感技术与应用, 32(6): 998-1011 [DOI: 10.11873/j.issn.1004-0323.2017.6.0998http://dx.doi.org/10.11873/j.issn.1004-0323.2017.6.0998]
Lu S C. 2008. Current distribution of red crown crane and its development trends in Yancheng Coastal Marshes. Ecological Science, 27(3): 154-158
吕士成. 2008. 盐城沿海滩涂丹顶鹤的分布现状及其趋势分析. 生态科学, 27(3): 154-158 [DOI: 10.3969/j.issn.1008-8873.2008.03.006http://dx.doi.org/10.3969/j.issn.1008-8873.2008.03.006]
Lu S L, Wu B F and Li F P. 2011. Wetland pattern change in Hai Basin. Journal of Remote Sensing, 15(2): 349-371
卢善龙, 吴炳方, 李发鹏. 2011. 海河流域湿地格局变化分析. 遥感学报, 15(2): 349-371
MacKinnon J, Verkuil Y I and Murray N. 2012. IUCN Situation Analysis on East and Southeast Asian Intertidal Habitats, with Particular Reference to the Yellow Sea (Including the Bohai Sea). Occasional Paper of the IUCN Species Survival Commission No. 47. IUCN: 5-8
Ou W X and Yuan W J. 2015. Priority of red-crowned crane wintering habitat patches using landscape connectivity in the Yancheng coastal wetland. Resources Science, 37(4): 823-831
欧维新, 袁薇锦. 2015. 基于景观连接度的盐城滨海湿地丹顶鹤生境斑块重要性评价. 资源科学, 37(4): 823-831
Pang Q. 2014. Change of Red-Crowned Crane Habitat Connectivity and Recovery Based on Graph Theory in Yancheng Coastal Wetland. Nanjing: Nanjing Agricultural University
逄谦. 2014. 基于图论的盐城滨海湿地丹顶鹤生境连接度变化及恢复研究. 南京: 南京农业大学
Pascual-Hortal L and Saura S. 2006. Comparison and development of new graph-based landscape connectivity indices: towards the priorization of habitat patches and corridors for conservation. Landscape Ecology, 21(7): 959-967 [DOI: 10.1007/s10980-006-0013-zhttp://dx.doi.org/10.1007/s10980-006-0013-z]
Qin P, Zuo P and He Z X. 2004. Seashore Systems Ecology. Beijing: Chemical Industry Press: 2-11
钦佩, 左平, 何祯祥. 2004. 海滨系统生态学. 北京: 化学工业出版社: 2-11
Ren W Y, Wang C, Liu H Y, Li Y F, Zhou Y, Xu J Y and Chen H. 2019. Diversity of vegetation coverage based on birds’ habitat demand in the coastal wetland of Yancheng, Jiangsu Province. Chinese Journal of Ecology, 38(12): 3870-3877
任武阳, 王成, 刘红玉, 李玉凤, 周奕, 徐嘉仪, 陈浩. 2019. 基于鸟类生境需求的植被景观覆盖度多样性——以江苏盐城滨海湿地为例. 生态学杂志, 38(12): 3870-3877 [DOI: 10.13292/j.1000-4890.201912.004http://dx.doi.org/10.13292/j.1000-4890.201912.004]
Saura S and Pascual-Hortal L. 2007. A new habitat availability index to integrate connectivity in landscape conservation planning: comparison with existing indices and application to a case study. Landscape and Urban Planning, 83(2/3): 91-103 [DOI: 10.1016/j.landurbplan.2007.03.005http://dx.doi.org/10.1016/j.landurbplan.2007.03.005]
Su L Y and Zou H F. 2012. Status, threats and conservation needs for the continental population of the red-crowned crane. Chinese Birds, 3(3): 147-164 [DOI: 10.5122/cbirds.2012.0030http://dx.doi.org/10.5122/cbirds.2012.0030]
Suo A N, Guan D M, Sun Y G, Lin Y and Zhang M H. 2016. Advances in coastal landscape ecology and its role in the construction of marine ecological civilization. Acta Ecologica Sinica, 36(11): 3167-3175
索安宁, 关道明, 孙永光, 林勇, 张明慧. 2016. 景观生态学在海岸带地区的研究进展. 生态学报, 36(11): 3167-3175 [DOI: 10.5846/stxb201506171227http://dx.doi.org/10.5846/stxb201506171227]
UNESCO and World Heritage Committee. 2019. Decisions adopted during the 43rd session of the World Heritage Committee. Baku, Republic of Azerbaijan[EB/OL]. [2020-12-28]. http://whc.unesco.org/en/sessions/43COMhttp://whc.unesco.org/en/sessions/43COM
Wen Q K, Zhang Z X, Xu J Y, Zuo L J, Wang X, Liu B, Zhao X L and Yi L. 2011. Spatial and temporal change of wetlands in Bohai rim during 2000-2008: An analysis based on satellite images. Journal of Remote Sensing, 15(1): 183-200
温庆可, 张增祥, 徐进勇, 左丽君, 汪潇, 刘斌, 赵晓丽, 易玲. 2011. 环渤海滨海湿地时空格局变化遥感监测与分析. 遥感学报, 15(1): 183-200 [DOI: 10.11834/jrs.20110115http://dx.doi.org/10.11834/jrs.20110115]
Wu C G, Zhou Z X, Wang P C, Xiao W F and Teng M J. 2010. The concept and measurement of landscape connectivity and its applications. Acta Ecologica Sinica, 30(7): 1903-1910
吴昌广, 周志翔, 王鹏程, 肖文发, 滕明君. 2010. 景观连接度的概念、度量及其应用. 生态学报, 30(7): 1903-1910
Wu J G. 2007. Landscape Ecology: Pattern, Process, Scale and Hierarchy. 2nd ed. Beijing: Higher Education Press: 102-121
邬建国. 2007. 景观生态学——格局、过程、尺度与等级. 2版. 北京: 高等教育出版社: 102-121
Wu Y Q, Xiao X M, Chen B Q, Wang X X and Li X P. 2018. Phenological remote sensing monitoring of salt marsh vegetation in Yancheng intertidal wetland in recent thirty years. Jiangsu Agricultural Sciences, 46(16): 264-270
吴亚茜, 肖向明, 陈帮乾, 王新新, 李香萍. 2018. 近30年来盐城潮间带湿地盐沼植被物候遥感监测. 江苏农业科学, 46(16): 264-270 [DOI: 10.15889/j.issn.1002-1302.2018.16.063http://dx.doi.org/10.15889/j.issn.1002-1302.2018.16.063]
Xie H W. 2014. The Construction of Ecological Networks Based on Natural Heritage Sites in Jiangsu Province. Nanjing: Nanjing Normal University
谢慧玮. 2014. 江苏省自然遗产地生态网络构建. 南京: 南京师范大学
Yun C X and Jiang X W. 2002. Sustainable Development and Comprehensive Management of Coastal Zones. Beijing: Ocean Press
恽才兴, 蒋兴伟. 2002. 海岸带可持续发展与综合管理. 北京: 海洋出版社
Zhang Y, Li L, Wu G S, Zhou Y, Qin S P and Wang X M. 2016. Analysis of landscape connectivity of the Yunnan snub-nosed monkeys (Rhinopithecus bieti) based on habitat patches. Acta Ecologica Sinica, 36(1): 51-58
张宇, 李丽, 吴巩胜, 周跃, 覃顺萍, 王小明. 2016. 基于生境斑块的滇金丝猴景观连接度分析. 生态学报, 36(1): 51-58 [DOI: 10.5846/stxb201408191641http://dx.doi.org/10.5846/stxb201408191641]
Zhang Y N, Zhao Y Q, Chen H, Lv S C and Zuo P. 2018. Analysis on population change of red-crowned cranes in its wintering habitat Yancheng during 1983~2017. Sichuan Environment, 37(6): 154-159
张亚楠, 赵永强, 陈浩, 吕士成, 左平. 2018. 1983~2017年间丹顶鹤在盐城越冬地的种群变化分析. 四川环境, 37(6): 154-159 [DOI: 10.14034/j.cnki.schj.2018.06.026http://dx.doi.org/10.14034/j.cnki.schj.2018.06.026]
Zhu C M, Zhang X and Huang Q H. 2018. Four decades of estuarine wetland changes in the yellow river delta based on Landsat observations between 1973 and 2013. Water, 10(7): 933 [DOI: 10.3390/w10070933http://dx.doi.org/10.3390/w10070933]
Zhu J F, Zhou Y, Wang S X, Wang L T, Liu W L, Li H T and Mei J J. 2019. Analysis of changes of Baiyangdian wetland from 1975 to 2018 based on remote sensing. National Remote Sensing Bulletin, 23(5): 971-986
朱金峰, 周艺, 王世新, 王丽涛, 刘文亮, 李海涛, 梅军军. 2019. 1975年—2018年白洋淀湿地变化分析. 遥感学报, 23(5): 971-986 [DOI: 10.11834/jrs.20198379http://dx.doi.org/10.11834/jrs.20198379]
相关作者
相关机构
京公网安备11010802024621