Volume 42 Issue 6
Jun.  2023
Turn off MathJax
Article Contents
Longxiao Zheng, Mengquan Wu, Jie Zhao, Shaopeng Luan, Dongliang Wang, Wei Jiang, Mingyue Xue, Jiayan Liu, Yating Cui. Effects of Ulva prolifera dissipation on the offshore environment based on remote sensing images and field monitoring data[J]. Acta Oceanologica Sinica, 2023, 42(6): 112-120. doi: 10.1007/s13131-022-2129-7
Citation: Longxiao Zheng, Mengquan Wu, Jie Zhao, Shaopeng Luan, Dongliang Wang, Wei Jiang, Mingyue Xue, Jiayan Liu, Yating Cui. Effects of Ulva prolifera dissipation on the offshore environment based on remote sensing images and field monitoring data[J]. Acta Oceanologica Sinica, 2023, 42(6): 112-120. doi: 10.1007/s13131-022-2129-7

Effects of Ulva prolifera dissipation on the offshore environment based on remote sensing images and field monitoring data

doi: 10.1007/s13131-022-2129-7
Funds:  The National Natural Science Foundation of China under contract No. 42071385; the Shandong Natural Science Foundation under contract No. ZR2019MD041; the Open Project Program of Shandong Marine Aerospace Equipment Technological Innovation Center, Ludong University under contract No. MAETIC2021-12; the Yantai Science and Technology Innovation Development Plan Project under contract No. 2022MSGY062.
More Information
  • Corresponding author: ld_wmq@ldu.edu.cn
  • Received Date: 2022-04-27
  • Accepted Date: 2022-10-12
  • Publish Date: 2023-06-25
  • Outbreaks of Ulva prolifera have continued in the South Yellow Sea of China (SYS) since 2007, becoming a serious marine ecological disaster. Large amounts of U. prolifera drift to the coast of the Shandong Peninsula to dissipate under the action of southeast monsoons and ocean surface currents. This causes serious harm to the ecological environment and economic activities of coastal cities. To investigate the impact of U. prolifera dissipation, this study extracted the spatiotemporal distribution of U. prolifera in the SYS from 2012 to 2020 based on the Google Earth Engine. The outbreak cycle of U. prolifera was determined by fitting analysis of outbreak time and coverage area through MATLAB. This study also looked at the effect of U. prolifera dissipation on water quality through field monitoring data. The results showed that the growth curve of the U. prolifera has a significant Gaussian distribution. The U. prolifera dissipates in Haiyang, China, in July and August every year and affects the offshore environment. Water quality parameters of seawater at different depths had significant differences after the U. prolifera dissipation. Changes in pH, chemical oxygen demand, nitrite nitrogen, nitrate nitrogen, ammonia nitrogen, chlorophyll a, total phosphorus, and suspended solids were more significant in surface seawater than in deeper water. Changes in the concentrations of dissolved oxygen and total nitrogen were more significant in the deep seawater (1.63 and 1.1 times higher than those in the surface seawater, respectively). The dissipation of U. prolifera releases a large amount of carbon and nitrogen into the seawater, which provides rich nutrients for phytoplankton and may cause secondary disasters such as red tide. These findings are useful for further understanding the rules of U. prolifera dissipation, as well as preventing and controlling green tide disasters.
  • loading
  • Chen Jing, Li Hongmei, Zhang Zenghui, et al. 2020. DOC dynamics and bacterial community succession during long-term degradation of Ulva prolifera and their implications for the legacy effect of green tides on refractory DOC pool in seawater. Water Research, 185: 116268. doi: 10.1016/j.watres.2020.116268
    Deng Xue, Liu Tao, Liu Chunying, et al. 2018. Effects of Ulva prolifera blooms on the carbonate system in the coastal waters of Qingdao. Marine Ecology Progress Series, 605: 73–86. doi: 10.3354/meps12739
    Ding Yuemin. 2014. Impacts of Ulva (Enteromorpha) prolifera in the green tide on the Yellow Sea ecological environment-implications from migration and transformation of biogenic elements (in Chinese)[dissertation]. Qingdao: Institute of Oceanology, Chinese Academy of Sciences
    Feng Lina, Zhang Haibo, Sun Yuyan, et al. 2020. On nutrient releases from the decomposition of Ulva prolifera green tide and their impacts on nearshore seawaters in the southern Yellow Sea. Haiyang Xuebao (in Chinese), 42(8): 59–68
    Franke A, Clemmesen C. 2011. Effect of ocean acidification on early life stages of Atlantic herring (Clupea harengus L.). Biogeosciences, 8(12): 3697–3707. doi: 10.5194/bg-8-3697-2011
    Gao Guang, Gao Qi, Bao Menglin, et al. 2019. Nitrogen availability modulates the effects of ocean acidification on biomass yield and food quality of a marine crop Pyropia yezoensis. Food Chemistry, 271: 623–629. doi: 10.1016/j.foodchem.2018.07.090
    Gao Guang, Zhao Xin, Jiang Meijia, et al. 2021. Impacts of marine heatwaves on algal structure and carbon sequestration in conjunction with ocean warming and acidification. Frontiers in Marine Science, 8: 758651. doi: 10.3389/fmars.2021.758651
    Hao Binfei, Yang Hong, Ma Mingguo, et al. 2020. Variation in land use and land surface parameters in the three gorges reservoir catchment based on Google Earth Engine. Resources and Environment in the Yangtze Basin (in Chinese), 29(6): 1343–1355
    Hu Yubin, Liu Chunying, Yang Guipeng, et al. 2015. The response of the carbonate system to a green algal bloom during the post-bloom period in the southern Yellow Sea. Continental Shelf Research, 94: 1–7. doi: 10.1016/j.csr.2014.12.006
    Jiao Nianzhi, Cai Ruanhong, Zheng Qiang, et al. 2018. Unveiling the enigma of refractory carbon in the ocean. National Science Review, 5(4): 459–463. doi: 10.1093/nsr/nwy020
    Kong Fanzhou, Jiang Peng, Wei Chuanjie, et al. 2018. Co-occurence of green tide, golden tide and red tides along the 35°N transect in the yellow sea during spring and summer in 2017. Oceanologia et Limnologia Sinica (in Chinese), 49(5): 1021–1030
    Kwon H K, Kang H, Oh Y H, et al. 2017. Green tide development associated with submarine groundwater discharge in a coastal harbor, Jeju, Korea. Scientific Reports, 7(1): 6325. doi: 10.1038/s41598-017-06711-0
    Li Dongxue, Gao Zhiqiang, Song Debin. 2021a. Analysis of environmental factors affecting the large-scale long-term sequence of green tide outbreaks in the Yellow Sea. Estuarine, Coastal and Shelf Science, 260: 107504,
    Li Dongxue, Gao Zhiqiang, Xu Fuxiang. 2021b. Research on the dissipation of green tide and its influencing factors in the Yellow Sea based on Google Earth Engine. Marine Pollution Bulletin, 172: 112801. doi: 10.1016/j.marpolbul.2021.112801
    Li Binghan, Liu Chunying, Deng Xue, et al. 2021c. Responses of the marine carbonate system to a green tide: a case study of an Ulva prolifera bloom in Qingdao coastal waters. Harmful Algae, 110: 102133. doi: 10.1016/j.hal.2021.102133
    Liu Dongyan, Keesing J K, Xing Qianguo, et al. 2009. World’s largest macroalgal bloom caused by expansion of seaweed aquaculture in China. Marine Pollution Bulletin, 58(6): 888–895. doi: 10.1016/j.marpolbul.2009.01.013
    Liu Xiangqing, Wang Zongling, Xin Ming, et al. 2016. Study on process of nutrient release during the decay of Ulva Prolifera. Marine Environmental Science (in Chinese), 35(6): 801–805, 813
    Liu Chunxiang, Zou Dinghui, Liu Zhiwei, et al. 2020. Ocean warming alters the responses to eutrophication in a commercially farmed seaweed, Gracilariopsis lemaneiformis. Hydrobiologia, 847(3): 879–893. doi: 10.1007/s10750-019-04148-2
    Lv Mengchen, Yuan Mengqi, Wang Ying, et al. 2021. Allelopathic effects of Ulva linza on marine phytoplankton and identification of the allelochemicals. Environmental Science and Pollution Research, 28(33): 45714–45723. doi: 10.1007/s11356-021-13734-8
    Nguyen U N T, Pham L T H, Dang T D. 2020. Correction to: an automatic water detection approach using Landsat 8 OLI and Google Earth Engine cloud computing to map lakes and reservoirs in New Zealand. Environmental Monitoring and Assessment, 192(9): 616. doi: 10.1007/s10661-020-08581-y
    Ogawa T, Ohki K, Kamiya M. 2015. High heterozygosity and phenotypic variation of zoids in apomictic Ulva prolifera (Ulvophyceae) from brackish environments. Aquatic Botany, 120: 185–192. doi: 10.1016/j.aquabot.2014.05.015
    Schreyers L, van Emmerik T, Biermann L, et al. 2021. Spotting green tides over brittany from space: three decades of monitoring with landsat imagery. Remote Sensing, 13(8): 1408. doi: 10.3390/rs13081408
    Sun Xiao, Wu Mengquan, Xing Qianguo, et al. 2018. Spatio-temporal patterns of Ulva prolifera blooms and the corresponding influence on chlorophyll-a concentration in the southern Yellow Sea, China. Science of the Total Environment, 640–641: 807–820,
    Wang Bin, Wu Lei. 2021. Numerical study on the massive outbreak of the Ulva prolifera green tides in the southwestern Yellow Sea in 2021. Journal of Marine Science and Engineering, 9(11): 1167. doi: 10.3390/jmse9111167
    Wang You, Yu Zhiming, Song Xiuxian, et al. 2007. Effects of macroalgae Ulva pertusa (Chlorophyta) and Gracilaria lemaneiformis (Rhodophyta) on growth of four species of bloom-forming dinoflagellates. Aquatic Botany, 86(2): 139–147. doi: 10.1016/j.aquabot.2006.09.013
    Wang Chao, Yu Rencheng, Zhou Mingjiang. 2011. Acute toxicity of live and decomposing green alga Ulva (Enteromorpha) prolifera to abalone Haliotis discus hannai. Chinese Journal of Oceanology and Limnology, 29(3): 541–546. doi: 10.1007/s00343-011-0126-3
    Wang Chao, Yu Rencheng, Zhou Mingjiang. 2012. Effects of the decomposing green macroalga Ulva (Enteromorpha) prolifera on the growth of four red-tide species. Harmful Algae, 16: 12–19. doi: 10.1016/j.hal.2011.12.007
    Wu Mengquan, Guo Hao, Zhang Anding, et al. 2014. Research on the characteristics of Ulva Prolifera in Shandong Peninsula during 2008–2012 based on MODIS data. Spectroscopy and Spectral Analysis (in Chinese), 34(5): 1312–1318
    Xing Qianguo, Hu Chuanmin, Tang Danling, et al. 2015. World’s largest macroalgal blooms altered phytoplankton biomass in summer in the Yellow Sea: satellite observations. Remote Sensing, 7(9): 12297–12313. doi: 10.3390/rs70912297
    Xu Jianfang, Fan Xiao, Zhang Xiaowen, et al. 2012. Evidence of coexistence of C3 and C4 photosynthetic pathways in a green-tide-forming alga, Ulva prolifera. PLoS ONE, 7(5): e37438. doi: 10.1371/journal.pone.0037438
    Yin Qi, Liu Maolin, Cheng Junyi, et al. 2019. Mapping paddy rice planting area in northeastern China using spatiotemporal data fusion and phenology-based method. Remote Sensing, 11(14): 1699. doi: 10.3390/rs11141699
    Zhang Baowei, Guo Jianzhong, Li Ziwei, et al. 2022a. Identifying the spatio-temporal variations of Ulva prolifera disasters in all life cycle. Journal of Water and Climate Change, 13(2): 629–644. doi: 10.2166/wcc.2021.424
    Zhang Yongyu, He Peimin, Li Hongmei, et al. 2019. Ulva prolifera green-tide outbreaks and their environmental impact in the Yellow Sea, China. National Science Review, 6(4): 825–838. doi: 10.1093/nsr/nwz026
    Zhang Xiaoli, Song Yanjing, Liu Dongyan, et al. 2015. Macroalgal blooms favor heterotrophic diazotrophic bacteria in nitrogen-rich and phosphorus-limited coastal surface waters in the Yellow Sea. Estuarine, Coastal and Shelf Science, 163: 75–81,
    Zhang Guangzong, Wu Mengquan, Sun Xiao, et al. 2018. The inter-annual drift and driven force of Ulva prolifera bloom in the southern Yellow Sea. Oceanologia et Limnologia Sinica (in Chinese), 49(5): 1084–1093
    Zhang Guangzong, Wu Mengquan, Wei Juan, et al. 2021a. Adaptive threshold model in Google Earth Engine: a case study of Ulva prolifera extraction in the South Yellow Sea, China. Remote Sensing, 13(16): 3240. doi: 10.3390/rs13163240
    Zhang Guangzong, Wu Mengquan, Zhang Anding, et al. 2020. Influence of sea surface temperature on outbreak of Ulva prolifera in the southern Yellow Sea, China. Chinese Geographical Science, 30(4): 631–642. doi: 10.1007/s11769-020-1129-9
    Zhang Guangzong, Wu Mengquan, Zhou Min, et al. 2022b. The seasonal dissipation of Ulva prolifera and its effects on environmental factors: based on remote sensing images and field monitoring data. Geocarto International, 37(3): 860–878. doi: 10.1080/10106049.2020.1745301
    Zhang Pengyan, Xin Yu, Zhong Xiaosong, et al. 2021b. Integrated effects of Ulva prolifera bloom and decay on nutrients inventory and cycling in marginal sea of China. Chemosphere, 264: 128389. doi: 10.1016/j.chemosphere.2020.128389
    Zhang Hailong, Yuan Yibo, Xu Yongjiu, et al. 2021c. Remote sensing method for detecting green tide using HJ-CCD top-of-atmosphere reflectance. International Journal of Applied Earth Observation and Geoinformation, 102: 102371. doi: 10.1016/j.jag.2021.102371
    Zhang Yongyu, Zhang Jihong, Liang Yantao, et al. 2017a. Carbon sequestration processes and mechanisms in coastal mariculture environments in China. Science China: Earth Sciences, 60(12): 2097–2107. doi: 10.1007/s11430-017-9148-7
    Zhang Yao, Zhao Meixun, Cui Qiu, et al. 2017b. Processes of coastal ecosystem carbon sequestration and approaches for increasing carbon sink. Science China: Earth Sciences, 60(5): 809–820. doi: 10.1007/s11430-016-9010-9
    Zhao Peng, Jiang Shu, Shi Jianbin. 2021. Blue carbon in the special report on the ocean and cryosphere in a Changing climate and its impacts. Marine Sciences (in Chinese), 45(2): 137–143
    Zheng Xiaozhong, Ding Zhaokun, Xu Youqing, et al. 2009. Physiological roles of fatty acyl desaturases and elongases in marine fish: characterisation of cDNAs of fatty acyl Δ6 desaturase and elovl5 elongase of cobia (Rachycentron canadum). Aquaculture, 290(1–2): 122–131,
    Zheng Longxiao, Wu Mengquan, Cui Yating, et al. 2022a. What causes the great green tide disaster in the South Yellow Sea of China in 2021?. Ecological Indicators, 140: 108988,
    Zheng Longxiao, Wu Mengquan, Zhou Min, et al. 2022b. Spatiotemporal distribution and influencing factors of Ulva prolifera and Sargassum and their coexistence in the South Yellow Sea, China. Journal of Oceanology and Limnology, 40(3): 1070–1084. doi: 10.1007/s00343-021-1040-y
    Zhou Min, Wu Mengquan, Zhao Lianjie, et al. 2022. Temporal and spatial distributions and influencing factors of HABs outbreaks around the north of Shandong Peninsula during 2000–2019: based on remote sensing images and field monitoring data. Geocarto International, 37(25): 8440–8455. doi: 10.1080/10106049.2021.2002425
  • 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

    Figures(5)  / Tables(3)

    Article Metrics

    Article views (92) PDF downloads(8) Cited by()
    Proportional views


    DownLoad:  Full-Size Img  PowerPoint