基于国产高分辨率影像的图们江口中、朝、俄三国湿地景观格局对比分析

吴春国; 李晓敏; 贾源旭; 马毅; 朱卫红

doi:10.3969/j.issn.1001-909X.2017.02.009

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海洋学研究 ›› 2017, Vol. 35 ›› Issue (2) : 82-90. DOI: 10.3969/j.issn.1001-909X.2017.02.009

研究报道

基于国产高分辨率影像的图们江口中、朝、俄三国湿地景观格局对比分析

吴春国^1,2,3, 李晓敏³, 贾源旭^1,3, 马毅³, 朱卫红^*1,2

作者信息 +

Comparative analysis of wetland landscape pattern in Tumen River Estuary of China, DPR Korea and Russia based on Chinese high resolution images

WU Chun-guo^1,2,3, LI xiao-min³ , JIA Yuan-xu^1,3, MA Yi³, ZHU Wei-hong^*1,2

Author information +

文章历史 +

摘要

图们江是我国重要的国际性河流之一,受中国、朝鲜、俄罗斯三国政策、经济、文化等因素影响,三国的湿地景观截然不同。本文以我国国产高分辨率卫星GF-1和GF-2影像为数据源,通过对图们江口湿地的实地踏勘,建立了图们江口湿地遥感分类体系,包括湖泊、河流、沼泽、滩涂、坑塘、水田和水库共7类。采用目视解译方法,提取了图们江口湿地信息,对图们江口湿地现状和中、朝、俄湿地差异进行了分析。利用Fragstats景观分析软件,选取了斑块数(NP)、最大斑块指数(LPI)、斑块平均面积(MPS)、加权平均形状指数(SHAPE)、加权平均分形维数(FRAC)、香农多样性指数(SHDI)和香农均匀性指数(SHEI)等几个景观格局指数分析了图们江口湿地景观格局特征。结果表明:(1)研究区湿地总面积为39 503.38 hm²,以沼泽和湖泊为主,呈现近日本海聚集分布格局。(2)俄罗斯湿地面积占各国研究区湿地总面积比例最大,朝鲜次之,中国最小;朝鲜湿地开发程度最高,湿地破坏较严重。(3)朝鲜湿地破碎程度在三国中最重,中国次之;朝鲜因水田开发较严重,景观规则度最高;中国湿地多样性较其他两国丰富。

Abstract

Tumen River is one of the most important international rivers in China. Because of the differences in the policy, economy and culture, there are many differences in the wetland landscape among Chinese, Russian and DPR Korean wetlands in Tumen River Estuary. Taking GF-1 and GF-2 images as the data sources and according to the wetland classification of national standard, the classification system of wetlands in Tumen River Estuary was set up, which included lake, river, marsh, tidal flat, pit, paddy field and reservoir. The Tumen River Estuary wetland information was extracted by visual interpretation, and then the status and differences among Chinese, Russian and DPR Korean wetlands were analyzed. By the means of Fragstats software, the landscape pattern indexes, such as NP, LPI, MPS, SHAPE, FRAC, SHDI and SHEI were used to analyze the characteristics of wetland landscape pattern in Tumen River Estuary. The results show:(1)The total area of wetlands in the study area is 39 503.38 hm², which is dominated by marsh and lake, and is presented as an aggregate distribution pattern close to the Japan Sea.(2)The wetland area of Russia is the largest, followed by those of DPR Korea and China. The disturbance is serious in that of DPR Korea.(3)The landscape fragmentation of wetland in DPR Korea is most serious, followed by those of China and Russia. Because of the serious development of paddy field, the landscape regulation degree is highest in DPR Korean wetland. The diversity of Chinese wetland is more abundant than those of other countries.

导出引用

吴春国, 李晓敏, 贾源旭, 马毅, 朱卫红. 基于国产高分辨率影像的图们江口中、朝、俄三国湿地景观格局对比分析[J]. 海洋学研究. 2017, 35(2): 82-90 https://doi.org/10.3969/j.issn.1001-909X.2017.02.009

WU Chun-guo, LI xiao-min , JIA Yuan-xu, MA Yi, ZHU Wei-hong. Comparative analysis of wetland landscape pattern in Tumen River Estuary of China, DPR Korea and Russia based on Chinese high resolution images[J]. Journal of Marine Sciences. 2017, 35(2): 82-90 https://doi.org/10.3969/j.issn.1001-909X.2017.02.009

中图分类号： X37

参考文献

[1] KIM Joo young. Dumangang River[J]. Koreana,2000,14(4):1-56.
[2] DOU Bo. The Arctic Ocean navigation and the strategy of Tumen River as a sea gate[J]. Northeast Asia Forum,2012,3(101):113-120.
窦博.北冰洋通航与中国图们江出海战略探讨[J].东北亚论坛,2012,21(3):113-120.
[3] SUN Peng. Research of wetland changes and driving force in Tumen River Basin for the past 50 years[D]. Yanji: Yanbian University,2011.
孙鹏.近50年图们江流域湿地景观动态变化及驱动机制研究[D].延吉:延边大学,2011.
[4] SUN Peng, ZHU Wei-hong, MIAO Cheng-yu, et al. Dynamic changes and driving force in Jingxin wetlands at the lower reaches of Tumen River Area[J]. Journal of Agricultural Science Yanbian University,2011,33(1):15-21.
孙鹏,朱卫红,苗承玉,等.图们江下游敬信湿地动态变化及驱动机制研究[J].延边大学农学学报,2011,33(1):15-21.
[5] SUN Peng, MIAO Cheng-yu, ZHANG Da, et al. Remote sensing monitoring of changes in wetland landscape in the upper reaches of Tumen River during 1960-2009[J]. Journal of Northeast Forestry University,2012,40(3):115-119,126.
孙鹏,苗承玉,张达,等.1960—2009年图们江上游湿地景观变化的遥感监测[J].东北林业大学学报,2012,40(3):115-119,126.
[6] LIU Zhi-feng, ZHU Wei-hong, NAN Ying, et al. Change of Jingxin wetland in the lower reaches of Tumen River based on Corona and Spot-5 images[J]. Wetland Science,2009,7(3):237-242.
刘志锋,朱卫红,南颖,等.基于Corona和Spot-5影像的图们江下游敬信湿地变化研究[J].湿地科学,2009,7(3):237-242.
[7] MIAO Cheng-yu, MA Xiao-nan, CAO Guang-lan, et al. Analysis of ecological security of Jingxin wetland in Tumen River downstream[J].Journal of Yanbian University: Natural Science,2011,37(2):184-188.
苗承玉,马晓男,曹光兰,等.图们江下游敬信湿地生态安全评价研究[J].延边大学学报:自然科学版,2011,37(2):184-188.
[8] ZHENG Xiao-jun. Study on ecological safety evaluation wetlands and park planning in Tumen River Downstream[D]. Yanji: Yanbian University,2014.
郑小军.图们江下游湿地生态安全评价及湿地生态公园规划研究[D].延吉:延边大学,2014.
[9] CÉSAR D,ROUSSIN S,JO Jin-cheol. Going West? Spatial polarization of the North Korean port system[J]. Journal of Transport Geography,2009,17(5):357-368.
[10] LÜ Yun-feng, XU Hai-feng, FEI Long, et al. On land suitability evaluation based on remote sensing and GIS[J]. Journal of Changchun Nomal University: Natural Science,2007,26(5):94-98.
吕云峰,徐海峰,费龙,等.基于遥感和GIS的土地适宜性评价研究[J].长春师范学院学报,2007,26(5):94-98.
[11] CHEN Wen-qian, DING Jian-li, WANG Jiao, et al. Classification method of land cover based on GF-1 image[J]. Arid Land Geography,2016,39(1):182-189.
陈文倩,丁建丽,王娇,等.基于高分一号影像的土地覆被分类方法初探[J].干旱区地理,2016,39(1):182-189.
[12] LIU Jian-feng, ZHANG Ke-hui, MA Wen-cai. Research on evaluation of mining area ecological security based on Gaofen-1 satellite imagery: Take Jingxing mining area for example[J]. Geography and Geo-Information Science,2015,31(5):121-126.
刘剑锋,张可慧,马文才.基于高分一号卫星遥感影像的矿区生态安全评价研究——以井陉矿区为例[J].地理与地理信息科学,2015,31(5):121-126.
[13] JIA Yuan-xu, LI Xiao-min, WU Chun-guo, et al. Remote sensing monitoring of land use/land cover in Tumen River Estuary based on Chinese high-resolution images and comparative analysis of China, North Korea and Russia[J]. Ocean Development and Management,2017(5):59-66.
贾源旭,李晓敏,吴春国,等.基于国产高分数据的图们江口土地利用/覆盖现状遥感监测与中、朝、俄对比分析[J].海洋开发与管理,2017(5):59-66.
[14] FENG Deng-chao, QIN Huan-yu, ZENG Yong. Study on straw incineration monitoring based on the combination of remote sensing image[J]. Instrumentation,2014,1(3):25-42.
[15] GB/T24708—2009 Classification of national standard wetland[S].2009.
GB/T24708—2009湿地分类[S].2009.
[16] ZHU Wei-hong, NAN Ying, LIU Zhi-feng, et al. Study on wetland classification and distribution in the Tumen River lower stream area based on 3S technologies[J]. Journal of Northeast Normal University: Natural Science Edition,2007(3):106-113.
朱卫红,南颖,刘志锋,等.基于3S技术的图们江下游湿地系统分类及分布特征研究[J].东北师大学报:自然科学版,2007(3):106-113.
[17] ZHANG Qiu-ju, FU Bo-jie, CHEN Li-ding. Several problems about landscape pattern change research[J]. Scientia GeographicaSinica,2003,23(3):264-270.
张秋菊,傅伯杰,陈利顶.关于景观格局演变研究的几个问题[J].地理科学,2003,23(3):264-270.
[18] LU Liang, GUO Luo, ZHAO Song-ting. Land use and land cover change on slope in Qiandongnan prefecture of Southwest China[J]. Journal of Mountain Science,2014,11(3):762-773.
[19] ZHAI Wan-lin, LONG Jiang-ping, QIAO Ji-guo, et al. Study of the landscape pattern change and its driving force for the coastal wetland around Changjiang River Estuary[J]. Journal of Marine Sciences,2010,28(3):17-22.
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.
[20] QIU Peng-fei, WU Ning, LUO Peng, et al. Analysis of Dynamics and driving factors of wetland landscape in Zoige,eastern Qinghai-Tibetan Plateau[J]. Journal of Mountain Science,2009,1(6):42-55.
[21] LIU Yu, LÜ Yi-he, FU Bo-jie. Implication and limitation of landscape metrics in delineating relationship between landscape pattern and soil erosion[J]. Acta Ecologica Sinica,2011,31(1):267-275.
刘宇,吕一河,傅伯杰.景观格局-土壤侵蚀研究中景观指数的意义解释及局限性[J].生态学报,2011,31(1):267-275.
[22] COHEN M, VARGA D, VILA J, et al. A multi-scale and multi-disciplinary approach to monitor landscape dynamics: A case study in the Catalan Pre-pyrenees(spain)[J]. The Geographical Journal,2011,177(1):79-91.
[23] GARY L R. Description and comparison of geologic maps with FRAGSTATS-a spatial statistics program[J]. Computers and Geosciences,2002,28(7):169-177.