Volume 41 Issue 6
Jun.  2022
Turn off MathJax
Article Contents
Jianbu Wang, Zhaoyang Lin, Yuanqing Ma, Guangbo Ren, Zijun Xu, Xiukai Song, Yi Ma, Andong Wang, Yajie Zhao. Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image[J]. Acta Oceanologica Sinica, 2022, 41(6): 31-40. doi: 10.1007/s13131-021-1907-y
Citation: Jianbu Wang, Zhaoyang Lin, Yuanqing Ma, Guangbo Ren, Zijun Xu, Xiukai Song, Yi Ma, Andong Wang, Yajie Zhao. Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image[J]. Acta Oceanologica Sinica, 2022, 41(6): 31-40. doi: 10.1007/s13131-021-1907-y

Distribution and invasion of Spartina alterniflora within the Jiaozhou Bay monitored by remote sensing image

doi: 10.1007/s13131-021-1907-y
Funds:  The National Natural Science Foundation of China under contract Nos 42076189, 41206172 and 61601133; the Natural Science Foundation of Beijing under contract No. JQ20021; the Remote Sensing Monitoring Project of Geographical Elements in Shandong Yellow River Delta National Nature Reserve—the Remote Sensing Monitoring Technology Project of Spartina alterniflora in Shandong Province in 2020.
More Information
  • Corresponding author: Email: renguangbo@126.com
  • Received Date: 2021-07-21
  • Accepted Date: 2021-09-01
  • Available Online: 2022-04-19
  • Publish Date: 2022-06-16
  • Spartina alterniflora as an alien invasive plant, poses a serious threat to the ecological functions of the coastal wetland of the Jiaozhou Bay. As of 2019, the distribution area of S. alterniflora in the Jiaozhou Bay has reached more than 500 hm2. For this reason, combined with field surveys, remote sensing monitoring of the invasion S. alterniflora in the Jiaozhou Bay has been carried out. To accurately identify S. alterniflora within the Jiaozhou Bay coastal wetland, we used a new method which is an implement of deep convolutional neural network, and by which we got a higher accuracy than the traditional method. Based on distribution of S. alterniflora extracted by the proposed method, the temporal and spatial distribution characteristics of S. alterniflora were analyzed. And then combined with environmental factors, the invasion mechanism of S. alterniflora in the Jiaozhou Bay was analyzed in detail. From the monitoring results, it can be seen that S. alterniflora in Jiaozhou Bay is mainly distributed in the beaches near the Yanghe River Estuary and its southern side, the Dagu River Estuary and the Nügukou. Spartina alterniflora first broke out near the Yanghe River Estuary and gradually spread to the tidal flats near the Nügukou. The Dagu River Estuary is dominated by S. anglica, whose area has not changed much over the years, and a small amount of S. alterniflora has invaded later.
  • loading
  • [1]
    Breiman L. 2001. Random forests. Machine Learning, 45(1): 5–32. doi: 10.1023/A:1010933404324
    [2]
    Brusati E D, Grosholz E D. 2007. Effect of native and invasive cordgrass on Macoma petalum density, growth, and isotopic signatures. Estuarine, Coastal and Shelf Science, 71(3–4): 517–522
    [3]
    Callaway J C, Josselyn M N. 1992. The introduction and spread of smooth cordgrass (Spartina alterniflora) in South San Francisco Bay. Estuaries, 15(2): 218–226. doi: 10.2307/1352695
    [4]
    Chung C H. 1993. Thirty years of ecological engineering with Spartina plantations in China. Ecological Engineering, 2(3): 261–289. doi: 10.1016/0925-8574(93)90019-C
    [5]
    Daehler C C, Strong D R. 1996. Status, prediction and prevention of introduced cordgrass Spartina spp. invasions in Pacific estuaries, USA. Biological Conservation, 78(1–2): 51–58. doi: 10.1016/0006-3207(96)00017-1
    [6]
    Davis M A, Thompson K. 2000. Eight ways to be a Colonizer; two ways to be an invader: a proposed nomenclature scheme for invasion ecology. Bulletin of the Ecological Society of America, 81(3): 226–230
    [7]
    Fan Jianyong. 2005. Monitoring dynamic changes of coastline around Qingdao and its adjacent coastal zone using remote sensing (in Chinese)[dissertation]. Qingdao: The Institute of Oceanology, Chinese Academy of Sciences
    [8]
    Hsu Chih–Wei, Chang Chih–Chung, Lin Chih–Jen. 2003. A practical guide to support vector classification. Taiwan, China: Department of Computer Science and Information Engineering, National Taiwan University
    [9]
    Huang Huamei, Zhang Liquan. 2007. A study of the population dynamics of Spartina alterniflora at Jiuduansha shoals, Shanghai, China. Ecological Engineering, 29(2): 164–172. doi: 10.1016/j.ecoleng.2006.06.005
    [10]
    Huete A R. 1988. A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 25(3): 295–309. doi: 10.1016/0034-4257(88)90106-X
    [11]
    Jordan C F. 1969. Derivation of leaf-area index from quality of light on the forest floor. Ecology, 50(4): 663–666. doi: 10.2307/1936256
    [12]
    Li Yi, Chen Yining, Li Yan. 2017. Remote sensing analysis of the changes in the ecotone of mangrove forests and Spartina alterniflora saltmarshes. Marine Science Bulletin, 36(3): 348–360
    [13]
    Li Xiang, Li Wei, Xu Xiaodong, et al. 2018. CascadeNet: modified resnet with cascade blocks. In: 2018 24th International Conference on Pattern Recognition. Beijing: IEEE, 483–488
    [14]
    Li Jingmei, Wang Xiaoling. 2013. Wetland reclamation and habitat damage assessment in Jiaozhou Bay. Resources Science, 35(1): 59–65
    [15]
    Li Hepeng, Zhang Liquan. 2008. An experimental study on physical controls of an exotic plant Spartina alterniflora in Shanghai, China. Ecological Engineering, 32(1): 11–21. doi: 10.1016/j.ecoleng.2007.08.005
    [16]
    Lin Wenpeng, Chen Guangsheng, Guo Pupu, et al. 2015. Remote-sensed monitoring of dominant plant species distribution and dynamics at Jiuduansha wetland in Shanghai, China. Remote Sensing, 2015, 7(8): 10227–10241
    [17]
    Lu Feng, Yang Junfang. 2018. Remote sensing monitoring and analysis of Spartina alterniflora based on Landsat 8 OLI satellite data—taken the Shandong Yellow River Delta National Nature Reserve as an example. Shandong Forestry Science and Technology, 48(1): 29–32
    [18]
    Ma Xu, Yan Jiaguo, Wang Fangfang, et al. 2019. Trait and density responses of Spartina alterniflora to inundation in the Yellow River Delta, China. Marine Pollution Bulletin, 146: 857–864. doi: 10.1016/j.marpolbul.2019.07.022
    [19]
    Maricle B R, Lee R W. 2002. Aerenchyma development and oxygen transport in the estuarine cordgrasses Spartina alterniflora and S. anglica. Aquatic Botany, 74(2): 109–120. doi: 10.1016/S0304-3770(02)00051-7
    [20]
    Meng Weiqing, Feagin R A, Innocenti R A, et al. 2020. Invasion and ecological effects of exotic smooth cordgrass Spartina alterniflora in China. Ecological Engineering, 143: 105670. doi: 10.1016/j.ecoleng.2019.105670
    [21]
    Pearson R L, Miller L D. 1972. Remote mapping of standing crop biomass for estimation of the productivity of the short-grass prairie. In: Proceedings of the Eighth International Symposium on Remote Sensing of Environment. Ann Arbor: ERIM International, 1357–1381
    [22]
    Qi J, Chehbouni A, Huete A R, et al. 1994. A modified soil adjusted vegetation index. Remote Sensing of Environment, 48(2): 119–126. doi: 10.1016/0034-4257(94)90134-1
    [23]
    Qin Yingying, Jiang Xiaoxiao, Li Feng, et al. 2009. Morphological plasticity and biomass allocation of Spartina alterniflora lossel in different habitats. Marine Environmental Science, 28(6): 657–659, 667
    [24]
    Qin Pei, Jing Meide, Xie Min. 1985. The comparison of three ecotypes of Sparina alterniflora in coastal marshes of Luoyuanwan, Fujian Province. Journal of Nanjing University: Natural Science, 40: 226–236
    [25]
    Ren Guangbo, Wang Jinjin, Wang Andong, et al. 2019. Monitoring the invasion of smooth cordgrass Spartina alterniflora within the modern Yellow River Delta using remote sensing. Journal of Coastal Research, 90(S1): 135–145
    [26]
    Richardson A J, Weigand C L. 1977. Distinguishing vegetation from soil background information. Photogrammetric Engineering and Remote Sensing, 43(12): 1541–1542
    [27]
    Shi Xiaoyu, Zhang Ridong, Zhang Wenjing, et al. 2018. Impact of Jiaozhou Bay cross-sea bridge on winter ice formation in northern Jiaozhou Bay. Marine Science Bulletin, 37(6): 633–642
    [28]
    Silinski A, Van Belzen J, Fransen E, et al. 2016. Quantifying critical conditions for seaward expansion of tidal marshes: a transplantation experiment. Estuarine, Coastal and Shelf Science, 169: 227–237
    [29]
    Sun Samei. 2005. Monitoring of smooth cordgrass invasion by remote sensing in Sandu Bay, Fujian. Journal of Oceanography in Taiwan Strait, 24(2): 223–227
    [30]
    Tao Yancheng, Pan Lianghao, Fan Hangqing, et al. 2017. Remote sensing monitoring of Spartina alterniflora in coastal intertidal zone of Guangxi. Guangxi Sciences, 24(5): 483–489
    [31]
    Tian Yanlin, Jia Mingming, Wang Zongming, et al. 2020. Monitoring invasion process of Spartina alterniflora by seasonal Sentinel-2 imagery and an object-based random forest classification. Remote Sensing, 12(9): 1383. doi: 10.3390/rs12091383
    [32]
    Tucker C J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2): 127–150. doi: 10.1016/0034-4257(79)90013-0
    [33]
    Wang Qing, An Shuqing, Ma Zhijun, et al. 2006. Invasive Spartina alterniflora: biology, ecology and management. Acta Phytotaxonomica Sinica, 44(5): 559–588. doi: 10.1360/aps06044
    [34]
    Yao Hongyan, Liu Pudong, Shi Runhe, et al. 2017. Extracting the transitional zone of Spartina alterniflora and Phragmites australis in the wetland using high-resolution remotely sensed images. Journal of Geo-information Science, 19(10): 1375–1381
    [35]
    Zhu Yuling, Wang Janbu, Wang Andong, et al. 2019. Remote-sensed monitoring of Spartina alterniflora using deep convolutional neural network method with fusion of shallow features. Marine Sciences, 43(7): 12–22
    [36]
    Zuo Ping, Liu Chang’an, Zhao Shuhe, et al. 2009. Distribution of Spartina plantations along the China's coast. Haiyang Xuebao (in Chinese), 31(5): 101–111
    [37]
    Zuo Ping, Zhao Shuhe, Liu Chang’an, et al. 2012. Distribution of Spartina spp. along China’s coast. Ecological Engineering, 40: 160–166. doi: 10.1016/j.ecoleng.2011.12.014
  • 加载中

Catalog

    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

    Figures(10)  / Tables(3)

    Article Metrics

    Article views (91) PDF downloads(4) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return