Skip to main content

Advertisement

SpringerLink
Log in

Remote Sensing of Potamogeton crispus L. in Dongping Lake in the North China Plain Based on Vegetation Phenology

  • Research Article
  • Published:
Journal of the Indian Society of Remote Sensing Aims and scope Submit manuscript

Abstract

Curly-leaf pondweed (Potamogeton crispus L.) is a perennial, submerged plant native to Eurasia, Africa, and Australia that tolerates fresh or slightly brackish water. The pondweed has been found widely in many lakes in northern China. The Dongping Lake is a typical shallow macrophytic lake in north China, and it is an important junction at the East Route Project of China’s South-to-North Water Diversion Project (ERP-CSNWDP). In mid-summer, the pondweed die-offs result in a critical loss of dissolved oxygen and decaying plants can result in Dongping Lake eutrophication, blocked waterway, and fish kills. In order to maintain the environment security of the ERP-CSNWDP, there is an urgent need to understand the spatial and temporal changes of pondweed’s rapid range expansion in Dongping Lake. We employed moderate-resolution imaging spectroradiometer, normalized difference vegetation index data, and field investigations to extract its phenological characteristic. Landsat images from pondweed blooming and decay phases were acquired for eight representative growth stage years during the period of 1985–2017 to extract pondweed distribution. Through the validation, there was an accuracy of more than 89% for pondweed extraction in 2017. Then, we used a dimidiate pixel model to calculate its fractional green vegetation coverage (FVC). The results illustrated that its range expanded continuously during the 32-year study period. Its habitat changed from the scattered near shore distribution in 1985 to the contiguous coverage of large areas of the lake surface in 2017. The range expansion of pondweed was grouped into three stages. From 1985 to 1996, it had a slow growth stage with a maximum species range of 10.34 km2 in Dongping Lake. During the period of 1996–2001, there was an explosive growth stage during which it become the dominant species in the Lake. From 2001 to 2017, the range continued to increase to 49.07 km2, which comprised 40% of the surface area of the Lake. By spearman rank correlation analysis, we found that there was a significant correlation between pondweed area and the lake eutrophication level (R = 0.79, P < 0.05). The FVC spatial pattern after 2001 exhibited a gradual horizontal decrease from the southeast to the northwest of Dongping Lake. This study illustrates the application of vegetation phenology to assess the spatial and temporal pattern of pondweed. The opening of the ERP-CSNWDP is diverting a fraction of the total flow of the Yangtze River to Northern China via the Dongping Lake and presents an ongoing environmental security risk which will require future pondweed invasive species control and mitigation strategies utilizing ground and satellite-based spectrum observations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Adam, E., Mutanga, O., & Rugege, D. (2010). Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: A review. Wetlands Ecology and Management,18(3), 281–296.

    Google Scholar 

  • Armstrong, R. A. (1993). Remote sensing of submerged vegetation canopies for biomass estimation. International Journal of Remote Sensing,14, 621–628.

    Google Scholar 

  • Betbeder, J., Rapinel, S., Corpetti, T., Pottier, E., Corgne, S., & Hubert-Moy, L. (2014). Multitemporal classification of TerraSAR-X data for wetland vegetation mapping. Journal of Applied Remote Sensing. https://doi.org/10.1117/1.JRS.8.083648.

    Article  Google Scholar 

  • Chen, S. Y., Dong, J., & Zhang, C. (2007). Countermeasure study on eco-environmental status of Dongping Lake and sustainable development of its catchment. Anhui Agricultural Sciences,35(5), 1436–1437. (in Mandarin with English Abstract).

    Google Scholar 

  • Chen, X. H., Yang, D. D., Chen, J., & Cao, X. (2015). An improved automated land cover updating approach by integrating with downscaled NDVI time series data. Remote Sensing Letters,6(1), 29–38.

    Google Scholar 

  • Chinese Ministry of Ecological Environment. (2012–2017). China environmental status bulletin ministry of ecological environment. People’s Republic of China, Beijing, China (in Mandarin).

  • Chopra, R., Verma, V. K., & Sharma, P. K. (2001). Mapping monitoring and conservation of Harike wetland ecosystem Punjab India through remote sensing. International Journal of Remote Sensing,22(1), 89–98.

    Google Scholar 

  • Dou, S. Z., Yu, Q., Li, D., Liu, G., & Wang, B. (2002). Zooplankton and control of eutrophication in Dongping Lake Shandong Province. Chongqing Environmental Science,24(2), 58–62. (in Mandarin with English Abstract).

    Google Scholar 

  • Feng, Y. W., Hou, K., Pei, H. Y., Wen-Rong, H. U., Ren, Y., & Wei, J. L. (2015). Desmid community characteristics and its relationship with environmental variables in Nansi Lake and Dongping Lake. Chinese Journal of Ecology,34(6), 1738–1746. (in Mandarin with English Abstract).

    Google Scholar 

  • Flynn, K. F., & Chapra, S. C. (2014). Remote sensing of submerged aquatic vegetation in a shallow non-turbid river using an unmanned aerial vehicle. Remote Sensing,6(12), 12815–12836. https://doi.org/10.3390/rs61212815.

    Article  Google Scholar 

  • Fu, B. L., Wang, Y. Q., Campbell, A., Li, Y., Zhang, B., Yin, S. B., et al. (2017). Comparison of object-based and pixel-based random forest algorithm for wetland vegetation mapping using high spatial resolution GF-1 and SAR data. Ecological Indicators,73, 105–117.

    Google Scholar 

  • Gallant, A. L. (2015). The challenges of remote monitoring of wetlands. Remote Sensing,7(8), 10938–10950. https://doi.org/10.3390/rs70810938.

    Article  Google Scholar 

  • Gao, J. Q., Xiong, Z., & Zhang, J. (2009). Phosphorus removal from water of eutrophic Lake Donghu by five submerged macrophytes. Desalination,242(1), 193–204.

    Google Scholar 

  • Guo, P. Y., Lin, Y., & Li, Y. (1997). Study on phytoplankton and evaluation of water quality in Dongping Lake. Transaction of oceanology and limnology,4(7), 37–42. (in Mandarin with English Abstract).

    Google Scholar 

  • Harvey, K. R., & Hill, G. J. E. (2001). Vegetation mapping of a tropical freshwater swamp in the Northern Territory Australia: A comparison of aerial photography Landsat TM and SPOT satellite imagery. International Journal of Remote Sensing,22(15), 2911–2925.

    Google Scholar 

  • He, X. C., Zhou, X., Yang, D., Zhu, L., & Zhang, Z. (2013). Occurrence and damage of major diseases and insect pests on Lotus Root and Water Caltrop and their controlling strategies. Journal of Changjiang Vegetables,10, 59–62. (in Mandarin with English Abstract).

    Google Scholar 

  • Hestir, E. L., Brando, V. E., Bresciani, M., Giardino, C., Matta, E., Villa, P., et al. (2015). Measuring freshwater aquatic ecosystems: The need for a hyperspectral global mapping satellite mission. Remote Sensing of Environment,167, 181–195.

    Google Scholar 

  • Hill, V. J., Zimmerman, R. C., Bissett, W. P., Dierssen, H., & Kohler, D. D. R. (2014). Evaluating light availability, Seagrass biomass, and productivity using Hyperspectral airborne remote sensing in Saint Joseph’s Bay, Florida. Estuaries and Coasts,37(6), 1467–1489.

    Google Scholar 

  • Hou, X., Gao, W., Peng, X. U., Luo, Y., Wei, Y., Ying, N., et al. (2014). Impacts of watershed socio-economic development on Lake Dongping ecosystems of Shandong Province: Assessment and joint-mitigation. Journal of Lake Sciences,26(2), 313–321. (in Mandarin with English Abstract).

    Google Scholar 

  • Hou, H. P., Ge, Y., & Pan, N. (2013). Water quality assessment and water pollution prevention countermeasures of Dongping Lake. Yellow River,35(12), 43–46. (in Mandarin with English Abstract).

    Google Scholar 

  • Ivits, E., Cherlet, M., Sommer, S., & Mehl, W. (2013). Addressing the complexity in non-linear evolution of vegetation phenological change with time-series of remote sensing images. Ecological Indicators,26, 49–60.

    Google Scholar 

  • Jiang, D. S., Liu, C., Liu, G., Wang, W., & Liu, J. (2002). Analysis of the water environment in Dongping Lake and its vicinity. Transactions of Oceanology and Limnology,9(4), 12–15. (in Mandarin with English Abstract).

    Google Scholar 

  • Keddy, P. A. (2010). Wetland ecology: Principles and conservation (p. 497). Cambridge: Cambridge University Press.

    Google Scholar 

  • Li, Y. (2013). Inhibition of Potamogeton crispus on algae and its resistance mechanism to the stress of eutrophicaiton (pp. 20–21). Hefei: Anhui Normal University. (in Mandarin with English Abstract).

    Google Scholar 

  • Lin, W. P., & He, F. (1990). An approach on the exploitation of the sweet-water lake resource in China: Taking the Dongping Lake as an example. Journal of Natural Resources,5(1), 11–19. (in Mandarin with English Abstract).

    Google Scholar 

  • Liu, H. C. (2012). The research of water environment condition and the influencing factor of Dongping Lake (p. 41). Shandong: Shandong University. (in Mandarin with English Abstract).

    Google Scholar 

  • Liu, S. S., Chen, S. Y., Yao, M., Yuan, X., & Liu, H. (2017). Water environment revealed by aquatic communities of lakes: A case study on Dongping Lake. Chinese Journal of Applied and Environmental Biology,23(2), 318–323. (in Mandarin with English Abstract).

    Google Scholar 

  • Liu, X. L., Yao, X., Dong, J., Yao, M., Zhang, J., & Deng, H. G. (2016). Water environment of Dongping Lake. Chinese Agricultural Science Bulletin,32(11), 82–87. (in Mandarin with English Abstract).

    Google Scholar 

  • Mao, W. B., Pang, Q., & Fu, L. (2001). Effects and countermeasures of soil and water loss on water quality of Dongping Lake. Bulletin of Soil and Water Conservation,21(5), 27–29. (in Mandarin with English Abstract).

    Google Scholar 

  • Moomaw, W. R., Chmura, G. L., Davies, G. T., Finlayson, C. M., Middleton, B. A., Natali, S. M., et al. (2018). Wetlands in a changing climate, science, policy and management. Wetlands,38(2), 183–205.

    Google Scholar 

  • Niu, Z. G., Zhang, H. Y., Wang, X. W., Yao, W. B., Zhou, D. M., Zhao, K. Yi., et al. (2012). Mapping wetland changes in China between 1978 and 2008. Chinese Science Bulletin,57(22), 2813–2823.

    Google Scholar 

  • Pang, Q. J. (2000). Investigation and analysis of water quality of Dongping Lake and improvement measures. Water Resources Protection,16(2), 15–21. (in Mandarin with English Abstract).

    Google Scholar 

  • Pang, Q. J., & Li, B. (2003). Evaluation of eutrophication in Dongping Lake. Water Resources Protection,19(5), 42–44. (in Mandarin with English Abstract).

    Google Scholar 

  • Qi, J., Marsett, R. C., Moran, M. S., Goodrich, D. C., Heilman, P., Kerr, Y. H., et al. (2000). Spatial and temporal dynamics of vegetation in the San Pedro River basin area. Agricultural and Forest Meteorology,105(1–3), 55–68.

    Google Scholar 

  • Qiu, T., Yu, Q. Z., Liu, J. Z., Zhang, H. Z., & Liang, C. L. (2017). Study of vegetation coverage change in the last 30 years in Dongping Lake wetland based on Landsat data. Shandong Forestry Science and Technology,1, 6–10. (in Mandarin with English Abstract).

    Google Scholar 

  • Shi, H., Li, X., Niu, Z., Li, J., Li, Y., & Li, N. (2016). Remote sensing information extraction of aquatic vegetation in Lake Taihu based on Random Forest Model. Journal of Lake Sciences,28(3), 635–645. (in Mandarin with English Abstract).

    Google Scholar 

  • Shi, J. H., Wang, Q., Li, X., Gao, Y., & Liu, F. (2011). Aquatic ecosystem changes and eutrophication assessment in Dongping Lake. Journal of Yangtze University,8(4), 242–245. (in Mandarin with English Abstract).

    Google Scholar 

  • Smith, V. H., & Schindler, D. W. (2009). Eutrophication science, where do we go from here? Trends in Ecology and Evolution,24(4), 201–207.

    Google Scholar 

  • Song, T., Huang, J., Yan, F., Wu, W., & Wu, X. (2014). Monitoring of submerged plant in Taihu Lake based on environmental satellite CCD image. Environmental Monitoring and Forewarning,6, 12–19. (in Mandarin with English Abstract).

    Google Scholar 

  • Song, W., Mu, X., Ruan, G., Gao, Z., Li, L., & Yan, G. (2017). Estimating fractional vegetation cover and the vegetation index of bare soil and highly dense vegetation with a physically based method. International Journal of Applied Earth Observations and Geoinformation,58, 168–176.

    Google Scholar 

  • Sun, D., Duan, D. X., Wang, Z. Z., Chen, J. P., Chen, S. J., & Ma, R. L. (2006). Water quality monitoring and evaluation of Dongping Lake. Freshwater Fisheries,4, 13–16. (in Mandarin with English Abstract).

    Google Scholar 

  • Sun, C., Liu, Y., Zhao, S., Zhou, M., Yang, Y., & Li, F. (2016). Classification mapping and species identification of salt marshes based on a short-time interval NDVI time-series from HJ-1 optical imagery. International Journal of Applied Earth Observation and Geoinformation,45, 27–41.

    Google Scholar 

  • Tian, Y. Q., Yu, Q., Zimmerman, M., Suzanne, F., & Marcus, C. W. (2010). Differentiating aquatic plant communities in a eutrophic river using hyperspectral and multispectral remote sensing. Freshwater Biology,55(8), 1658–1673.

    Google Scholar 

  • Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, D. A., Pak, E. W., Mahoney, R., et al. (2005). An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data. International Journal of Remote Sensing,26(20), 4485–4498.

    Google Scholar 

  • Wang, S. M., & Dou, H. (1998). Chinese Lakes (pp. 304–307). Beijing: Science Press. (in Mandarin).

    Google Scholar 

  • Wang, S. L., Li, J. S., Zhang, B., Evangelos, S., Andrew, N. T., Qian, S., et al. (2018). Trophic state assessment of global inland waters using a MODIS-derived Forel-Ule index. Remote Sensing of Environment,217, 444–460.

    Google Scholar 

  • Wang, J., Song, Y., & Wang, G. (2017). Causes of large Potamogeton crispus L. population increase in Xuanwu Lake. Environmental Science and Pollution Research,24(6), 5144–5151. (in Mandarin with English Abstract).

    Google Scholar 

  • Wang, J. Q., Zheng, Y., & Wang, G. (2011). Influences of Potamogeton crispus population on the lake water quality distribution. Environmental Science,32(2), 416–423. (in Mandarin with English Abstract).

    Google Scholar 

  • Wardlow, B. D., & Egbert, S. L. (2008). Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains. Remote Sensing of Environment,112(3), 1096–1116.

    Google Scholar 

  • Xu, X., Liu, X., & Li, L. (2017a). Research Progress on Euryale ferox. Journal of Changjiang Vegetables,18, 62–68. (in Mandarin with English Abstract).

    Google Scholar 

  • Xu, P., Niu, Z., & Tang, P. (2017b). Comparison and assessment of NDVI time series for seasonal wetland classification. International Journal of Digital Earth,11(11), 1103–1131.

    Google Scholar 

  • Yu, Q. Z., Liang, C. L., & Zhang, Z. Z. (2014). Analysis of the NDVI changes and control factors of the Nansi Lake wetland in Shandong province during the past 40 years. Journal of Lake Sciences,26(3), 455–463. (in Mandarin with English Abstract).

    Google Scholar 

  • Yu, S. P., Sun, G., Dou, S., Ma, Y., & Ge, H. (2005). The declining of hydrophyte of Dongping Lake and the influence of the south-to-north water transfer project on it. China Environmental Science,25(2), 200–204. (in Mandarin with English Abstract).

    Google Scholar 

  • Yu, Q. Z., Wang, S. Q., & Zhou, L. (2017). Investigation into the role of canopy structure traits and plant functional types in modulating the correlation between canopy nitrogen and reflectance in a temperate forest in northeast China. Journal of Applied Remote Sensing,11(4), 046013.

    Google Scholar 

  • Zhang, J., Deng, H. G., Wu, A., Chen, S., & Wang, D. (2013). Decomposition of Potamogeton crispus and its effect on the aquatic environment of Dongping Lake. Acta Scientiae Circumstantiae,33(9), 2590–2596. (in Mandarin with English Abstract).

    Google Scholar 

  • Zhang, J. L., Duan, D., & Wang, Z. (2009). The hazard of Potamogeton crispus decline in Dongping Lake and its control measures. Environmental Study and Monitoring,2, 31–33. (in Mandarin with English Abstract).

    Google Scholar 

  • Zomer, R. J., Trabucco, A., & Ustin, S. L. (2009). Building spectral libraries for wetlands land cover classification and hyperspectral remote sensing. Journal of Environmental Management,90(7), 2170–2177.

    Google Scholar 

Download references

Acknowledgements

The authors thank the United States Geological Survey for providing MODIS MOD13Q1 and Landsat series remote sensing data. This work was jointly supported by the National Natural Science Foundation of China (Grant No. 31800367), the Science and Technology Service Network Initiative, CAS (Grant No. KFZD-SW-310), and the Scientific Research Starting Foundation for Doctors, Liaocheng University (Grant No. 318051530).

Author information

Authors and Affiliations

  1. School of Environment and Planning, Liaocheng University, Liaocheng, 252000, China

    Quanzhou Yu, Baohua Zhang, Huanguang Deng & Lili Liang

  2. Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, 27613, USA

    Robert A. Mickler

  3. Research Center for Ecological Civilization, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China

    Yujie Liu

  4. Institute of Geographical Sciences, Hebei Academy of Sciences, Shijiazhuang, 050011, China

    Leigang Sun

  5. College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua, 321004, China

    Lei Zhou

  6. College of Resources and Environmental Sciences, Hunan Normal University, Changsha, 410006, China

    Lili Liang

Authors
  1. Quanzhou Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robert A. Mickler
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yujie Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Leigang Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lei Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Baohua Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Huanguang Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Lili Liang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Quanzhou Yu or Yujie Liu.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, Q., Mickler, R.A., Liu, Y. et al. Remote Sensing of Potamogeton crispus L. in Dongping Lake in the North China Plain Based on Vegetation Phenology. J Indian Soc Remote Sens 48, 563–573 (2020). https://doi.org/10.1007/s12524-020-01103-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12524-020-01103-w

Keywords

Search

Navigation