ZHU Changming, ZHANG Xin, QI Jiaguo. Detecting and assessing Spartina invasion in coastal region of China: A case study in the Xiangshan Bay[J]. Acta Oceanologica Sinica, 2016, 35(4): 35-43. doi: 10.1007/s13131-016-0836-7
Citation: ZHU Changming, ZHANG Xin, QI Jiaguo. Detecting and assessing Spartina invasion in coastal region of China: A case study in the Xiangshan Bay[J]. Acta Oceanologica Sinica, 2016, 35(4): 35-43. doi: 10.1007/s13131-016-0836-7

Detecting and assessing Spartina invasion in coastal region of China: A case study in the Xiangshan Bay

doi: 10.1007/s13131-016-0836-7
  • Received Date: 2014-12-02
  • Rev Recd Date: 2015-10-19
  • Spartina alterniflora is one of exotic plants along the coastal region in China. It was introduced as an important engineering approach to ecological restoration in the later 1970s. However, owing to its good adaptability and strong reproductive capacity, the introduced species is explosively spreading along the coastal region quickly and resulting in a significant impact on the health and safety of coastal wetland ecosystems. It is imperative to quantify the spatial extent and the rate of S. alterniflora sprawl in order to assess its ecological damages and economic impacts. Remote sensing techniques have been used to address these challenges but large unsuccessful due to mixed spectral properties. In this study, a hybrid method was proposed for S. alterniflora detection using medium resolution remote sensing images by integrating both spatial and spectral features of S. alterniflora. The hybrid method consists of two phases:(1) delineation of intertidal zone as the potential area of S. alterniflora distribution and(2) extraction of S. alterniflora fraction distribution with a mixture pixel analysis. The proposed method was tested at the Xiangshan Bay on the east coastal region of Zhejiang Province, China, and mapped the spatial extent of S. alterniflora with Landsat datasets in the 2003, 2009 and 2014. The results showed that, the S. alterniflora has grown exponentially over past 10 years. In 2003, the total area of S. alterniflora was about 590 hm2, but quickly reached to 1745 hm2 in 2009, and 5715 hm2 in 2014. With a rate of approximately 10-folds growth within a decade, the invasive species almost occupied all muddy beaches to become the most dominant coastal salt vegetation in this region. It is believed that the strong biological reproductive capacity was the primary reason for such quick spread and at the same time human reclamation activities were also believed to have facilitated the environmental conditions for S. alterniflora sprawl.
  • loading
  • Adams J B, Sabol D E, Kapos V, et al. 1995. Classification of multis-pectral images based on fractions of endmembers:application to land-cover change in the Brazilian Amazon. Remote Sensing of Environment, 52(2):137-154
    Aguiar A P D, Shimabukuro Y E, Mascarenhas N D A. 1999. Use of synthetic bands derived from mixing models in the multispec-tral classification of remote sensing images. International Journal of Remote Sensing, 20(4):647-657
    Ayres D R, Strong D R. 2002. The Spartina invasion of San Francisco Bay. Aquatic Nuisance Species Digest, 4(4):37-39
    Boardman J W, Kruse F A. 1994. Automated spectral analysis:a geolo-gical example using AVIRIS data, north Grapevine Mountains, Nevada. In:Proceedings of the ERIM 10th Thematic Confer-ence on Geologic Remote Sensing. Ann Arbor, Michigan:Envir-onmental Research Institute of Michigan, 1:1-407
    Chander G, Markham B L, Helder D L. 2009. Summary of current ra-diometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113(5):893-903
    Chen Zhongyi, Li Bo, Chen Jiakuan. 2005. Study of the impact of soil salty and intetidal leveal to Spartinas' growth in island Chongmng. Journal of Yangtze University(Nature Science Edi-tion)(in Chinese), 2(2):6-9
    Chung C H. 2006. Forty years of ecological engineering with Spartina plantations in China. Ecological Engineering, 27(1):49-57
    Cochrane M A. 1998. Linear mixture model classification of burned forests in the eastern Amazon. International Journal of Remote Sensing, 19(17):3433-3440
    Congalton R G. 1991. A review of assessing the accuracy of classifica-tions of remotely sensed data. Remote Sensing of Environment, 37(1):35-46
    Cracknell A P. 1998. Review article Synergy in remote sensing-what's in a pixel. International Journal of Remote Sensing, 19(11):2025-2047
    Daehler C C, Strong D R. 1996. Status, prediction and prevention of introduced cordgrass Spartina spp invasions in Pacific estuar-ies, USA. Biological Conservation, 78(1-2):51-58
    Defries R S, Hansen M C, Townshend J R G. 2000. Global continuous fields of vegetation characteristics:a linear mixture model ap-plied to multi-year 8 km AVHRR data. International Journal of Remote Sensing, 21(6-7):1389-1414
    Deng Zifa, An Shuqing, Zhi Yingbiao, et al. 2006. Preliminary studies on invasive model and outbreak mechanism of exotic species, Spartina alterniflora Loisel. Acta Ecologica Sinica(in Chinese), 26(8):2678-2686
    Dennison P E, Roberts D A. 2003. The effects of vegetation phenology on endmember selection and species mapping in southern California chaparral. Remote Sensing of Environment, 87(2-3):295-309
    Donoghue D N M, Thomas D C R, Zong Y. 1995. Mapping and monit-oring the intertidal zone of the east coast of England using re-mote sensing techniques and a coastal monitoring GIS. Ocean-ographic Literature Review, 42(5):410
    Fisher P. 1997. The pixel:a snare and a delusion. International Journ-al of Remote Sensing, 18(3):679-685
    Foody G M. 2002. Status of land cover classification accuracy assess-ment. Remote Sensing of Environment, 80(1):185-201
    Frazier P S, Page K J. 2000. Water body detection and delineation with Landsat TM data. Photogrammetric Engineering and Remote Sensing, 66(12):1461-1468
    Gade M, Alpers W, Melsheimer C, et al. 2008. Classification of sedi-ments on exposed tidal flats in the German Bight using multi-frequency radar data. Remote Sensing of Environment, 112(4):1603-1613
    García-Haro F J, Gilabert M A, Meliá J. 1996. Linear spectral mixture modelling to estimate vegetation amount from optical spectral data. International Journal of Remote Sensing, 17(17):3373-3400
    Green A A, Berman M, Switzer P, et al. 1988. A transformation for or-dering multispectral data in terms of image quality with implic-ations for noise removal. IEEE Transactions on Geoscience and Remote Sensing, 26(1):65-74
    Green E P, Mumby P J, Edwards A J, et al. 1996. A review of remote sensing for the assessment and management of tropical coastal resources. Coastal Management, 24(1):1-40
    Li Jialin, Yang Xiaoping, Tong Yiqin, et al. 2005. Influences of Spar-tina alterniflora invasion on ecosystem services of coastal wet-land and its countermeasures. Marine Science Bulletin(in Chinese), 24(5):33-38
    Liu Haisong, Jezek K C. 2004. Automated extraction of coastline from satellite imagery by integrating Canny edge detection and loc-ally adaptive thresholding methods. International Journal of Remote Sensing, 25(5):937-958
    Liu Jin'e, Zhou Hongxia, Qin Pei, et al. 2007. Effects of Spartina al-terniflora salt marshes on organic carbon acquisition in inter-tidal zones of Jiangsu Province, China. Ecological Engineering, 30(3):240-249
    Lu Dengsheng, Moran E, Batistella M. 2003. Linear mixture model applied to Amazonian vegetation classification. Remote Sens-ing of Environment, 87(4):456-469
    Lu Dengsheng, Weng Qihao. 2006. Use of impervious surface in urb-an land-use classification. Remote Sensing of Environment, 102(1-2):146-160
    Luo Jiancheng, Sheng Yongwei, Shen Zhanfeng, et al. 2009. Automat-ic and high-precise extraction for water information from multispectral images with the step-by-step iterative transform-ation mechanism. Journal of Remote Sensing(in Chinese), 13(4):610-615
    McFeeters S K. 1996. The use of the Normalized Difference Water In-dex(NDWI) in the delineation of open water features. Interna-tional Journal of Remote Sensing, 17(7):1425-1432
    Min L, Lu S, Wang B, et al. 1997. Spartinas' Observation, Test and It's Enginnering Application(in Chinese). Hangzhou:Reclamation Bureau of Zhejiang Province
    Murray N J, Phinn S R, Clemens R S, et al. 2012. Continental scale mapping of tidal flats across East Asia using the Landsat archive. Remote Sensing, 4(11):3417-3426
    Mustard J F, Sunshine J M. 1999. Spectral analysis for earth science:investigations using remote sensing data. In:Andrew N, ed. Re-mote Sensing for the Earth Sciences:Manual of Remote Sens-ing. 3rd ed. Vol. 3. New York:John Wiley & Sons, Inc, 251-306
    Ouma Y O, Tateishi R. 2006. A water index for rapid mapping of shoreline changes of five East African Rift Valley lakes:an em-pirical analysis using Landsat TM and ETM+ data. Internation-al Journal of Remote Sensing, 27(15):3153-3181
    Ridd M K. 1995. Exploring a V-I-S(vegetation-impervious surface-soil) model for urban ecosystem analysis through remote sens-ing:comparative anatomy for cities. International Journal of Remote Sensing, 16(12):2165-2185
    Rosso P H, Ustin S L, Hastings A. 2006. Use of lidar to study changes associated with Spartina invasion in San Francisco Bay marshes. Remote Sensing of Environment, 100(3):295-306
    Ryu J H, Kim C H, Lee Y K, et al. 2008. Detecting the intertidal mor-phologic change using satellite data. Estuarine, Coastal and Shelf Science, 78(4):623-632
    Ryu J H, Won J S, Min K D. 2002. Waterline extraction from Landsat TM data in a tidal flat:a case study in Gomso Bay, Korea. Re-mote Sensing of Environment, 83(3):442-456
    Smith M O, Ustin S L, Adams J B, et al. 1990. Vegetation in deserts:I. A regional measure of abundance from multispectral images. Re-mote Sensing of Environment, 31(1):1-26
    Theseira M A, Thomas G, Taylor J C, et al. 2003. Sensitivity of mixture modelling to end-member selection. International Journal of Remote Sensing, 24(7):1559-1575
    Van Der Meer F, De Jong S M. 2000. Improving the results of spectral unmixing of Landsat Thematic Mapper imagery by enhancing the orthogonality of end-members. International Journal of Re-mote Sensing, 21(15):2781-2797
    Vinther N, Christiansen C, Bartholdy J. 2001. Colonisation of Spar-tina on a tidal water divide, Danish Wadden Sea. Geografisk Tidsskrift-Danish Journal of Geography, 101(1):11-19
    Wan Huawei, Wang Qiao, Jiang Dong, et al. 2014. Monitoring the in-vasion of Spartina alterniflora using very high resolution un-manned aerial vehicle imagery in Beihai, Guangxi(China). The Scientific World Journal, 2014:638296
    Woodcock C E, Macomber S A, Pax-Lenney M, et al. 2001. Monitor-ing large areas for forest change using Landsat:Generalization across space, time and Landsat sensors. Remote Sensing of En-vironment, 78(1-2):194-203
    Xu Guowan, Zhuo Rongzong. 1985. Preliminary studies of intro-duced of Spartina alterniflora Losiel in China. Journal of Nanjing University(in Chinese), 40(2):212-225
    Yuan Hongwei, Li Shouzhong, Zheng Huaizhou, et al. 2009. Evalu-ation of the influences of foreign Spartina alterniflora on eco-system of Chinese coastal wetland and its countermeasures. Marine Science Bulletin(in Chinese), 28(6):122-128
    Zhang Ying. 2010. The spatial distribution and bioenergy estimation of an invasive plant Spartina alterniflora in China(in Chinese)[dissertation]. Hangzhou:Zhejiang University
    Zhang R S, Shen Y M, Lu L Y, et al. 2004. Formation of Spartina al-terniflora salt marshes on the coast of Jiangsu Province, China. Ecological Engineering, 23(2):95-105
    Zhang M, Ustin S L, Rejmankova E, et al. 1997. Monitoring Pacific coast salt marshes using remote sensing. Ecological Applica-tions, 7(3):1039-1053
    Zhang Yinlong, Lu Dengsheng, Yang Bo, et al. 2011. Coastal wetland vegetation classification with a Landsat Thematic Mapper im-age. International Journal of Remote Sensing, 32(2):545-561
    Zhao Bin, Guo Haiqiang, Yan Yaner, et al. 2008. A simple waterline approach for tidelands using multi-temporal satellite images:a case study in the Yangtze Delta. Estuarine, Coastal and Shelf Science, 77(1):134-142
    Zhu Changming, Luo Jiancheng, Shen Zhanfeng, et al. 2011. A spatial adaptive algorithm for endmember extraction on multispectral remote sensing image. Spectroscopy and Spectral Analysis(in Chinese), 31(10):2814-2818
    Zuo Ping, Liu Chang'an, Zhao Shuhe, et al. 2009. Distribution of Spar-tina plantations along the China's coast. Acta Oceanologica Sinica, 31(5):101-111
    Zuo Ping, Zhao Shuhe, Liu Chang'an, et al. 2012. Distribution of Spartina spp. along China's coast. Ecological Engineering, 40:160-166
  • 加载中


    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1205) PDF downloads(628) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint