Monitoring the Spatio-Temporal Distribution of Ulva prolifera in the Yellow Sea (2020–2022) Based on Satellite Remote Sensing DOI Creative Commons
Zhuyi Wang,

Bowen Fan,

Dingfeng Yu

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 15(1), P. 157 - 157

Published: Dec. 27, 2022

The green tide caused by Ulva prolifera (U. prolifera) is becoming more severe as climate change and human activity accelerate, endangering tourism, aquaculture, urban landscapes in coastal cities. In order to understand the spatio-temporal distribution of U. response disaster, this study used Haiyang-1C (HY-1C) satellite accompanied Sentinel-2 GaoFen-1 (GF-1) satellites systematically monitor between 2020 2022. consistency HY-1C satellites, well GF-1 was first investigated determination coefficients (R2) were 0.966 0.991, respectively, which supports feasibility China’s ocean water color operational satellite, HY-1C, for monitoring. Therefore, studied herein, along with influence range, area, drift paths. From 2022, appeared late May lasted 61, 88, 73 days. Additionally, area continuously decreased while it generally increased then 2021. It an interesting phenomenon that when maximum occurred at early stage both paths tended move southward after traveling northward. overall trend path 2021 head Thus, dynamic evolution, helpful promote systematic development emergency mechanisms prolifera.

Language: Английский

Mapping Ulva prolifera green tides from space: A revisit on algorithm design and data products DOI Creative Commons
Chuanmin Hu, Lin Qi, Lianbo Hu

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2023, Volume and Issue: 116, P. 103173 - 103173

Published: Jan. 3, 2023

Since the first report in 2008, macroalgal blooms of Ulva prolifera (often called green tides) Yellow Sea have occurred every year, with their origins, transport pathways, temporal changes, as well causes and consequences studied extensively. Of these studies, satellite remote sensing has been used widely to detect bloom presence quantify size (i.e., U. coverage km2 or biomass kilotons). However, substantial variability found refereed literature methodology, results, interpretation coverage, especially attempts study inter-annual changes long-term trends. There are often inconsistent contradicting results even from same sensor. Such inconsistencies contradictions create difficulty not only within community when presenting new methodology but also researchers attempting use make predictions perform impact assessments. Here, we review on blooms, recommendations based physical principles. Specifically, propose following conceptual guidelines: 1) a reliable index algorithm should be relatively tolerant perturbations by non-optimal observing conditions (thick aerosols, thin clouds, moderate sun glint, cloud-adjacent straylight, which can all frequently region) for presence/absence detection, small errors selected thresholds prolifera; 2) it easy account subpixel through pixel unmixing) order obtain an accurate estimate total image; 3) data product maps) able variable clouds interpreting spatial patterns uncertainty estimates provided whenever possible; 4) both minimize manual work them more objective repeatable other researchers. Finally, show different types time series amounts using approaches guidelines Moderate Resolution Imaging Spectroradiometer (MODIS) observations, discuss implications annual interdisciplinary studies.

Language: Английский

Citations

46

Climate and Anthropogenic Controls of Seaweed Expansions in the East China Sea and Yellow Sea DOI Creative Commons
Lin Qi, Chuanmin Hu, Brian B. Barnes

et al.

Geophysical Research Letters, Journal Year: 2022, Volume and Issue: 49(19)

Published: Sept. 17, 2022

Abstract Blooms of various types seaweeds have been reported worldwide, with recent expansions in surface waters. While most the attributed to eutrophication due mainly human activities, any potential role climate change is unclear. Here we show that, East China Sea and Yellow Sea, increased biomass Sargassum horneri ( S. horneri, brown seaweed) from 2000 2021 appears be caused primarily by ocean warming, as prefers a certain temperature range grow. In contrast, while increases Ulva prolifera U. prolifera, green same regions might also related during period, activities such coastal aquaculture or seaweed mitigation may muddle effects. With projected warming next decades, hypothesize that blooms occur earlier year continue expand future.

Language: Английский

Citations

47

Review of the development of the green tide and the process of control in the southern Yellow Sea in 2022 DOI
Zhangyi Xia, Jinlin Liu, Shuang Zhao

et al.

Estuarine Coastal and Shelf Science, Journal Year: 2024, Volume and Issue: 302, P. 108772 - 108772

Published: April 19, 2024

Language: Английский

Citations

14

Advances in the research on micropropagules and their role in green tide outbreaks in the Southern Yellow Sea DOI

Jiaxing Cao,

Jinlin Liu, Shuang Zhao

et al.

Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 188, P. 114710 - 114710

Published: Feb. 16, 2023

Language: Английский

Citations

19

Morphology, growth, and photosynthesis of Ulva prolifera O.F. Müller (Chlorophyta, Ulvophyceae) gametophytes, the dominant green tide species in the Southern Yellow Sea DOI Creative Commons
Shuang Zhao, Zhangyi Xia, Jinlin Liu

et al.

Journal of Sea Research, Journal Year: 2023, Volume and Issue: 193, P. 102375 - 102375

Published: March 21, 2023

Green tide with the main dominant species is Ulva prolifera O.F. Müller have been reported in Southern Yellow Sea since 2007. This study investigated differences morphology, growth, chlorophyll fluorescence parameters, and chloroplast pigment content of different day-aged U. gametophytes. Gametes had two flagella exhibited positive phototaxis. On 7th day culture, young gametophytes began to branch out. Changes length width branches, first-level branches showed "S"-shaped growth within 0–30 days, while fresh weight single algae "J"-shaped growth. The average dry was 12.32 1.38 g per thallus, respectively, when cultured from one gamete 30 days. number 10-day-aged thalli 119 blade, maximum branching level one. 30-day-aged 243 five. Except for NPQ IK values 0 d compared 10 thalli, value 20 d, NPQ, ETRmax Alpha Fv / Fm, YII, ETRmax, other significant or extremely differences. There no difference Chl b Car between Chla significantly different. a, b, Car, a were highly These results not only verify that can directly develop into new by parthenogenesis, but also reveal morphological physiological characteristics In addition presenting typical morphology different-day-aged gametophytes, this reports contents among them. revealed mechanism varying rates prolifera. findings provide essential reference information green prevention outbreak research.

Language: Английский

Citations

16

Identification and assessment of the drift velocity of green tides using the maximum cross-correlation method in the Yellow Sea DOI
Menghao Ji,

Chengyi Zhao,

Xin Dou

et al.

Marine Pollution Bulletin, Journal Year: 2023, Volume and Issue: 194, P. 115420 - 115420

Published: Aug. 24, 2023

Language: Английский

Citations

13

A Massive Green Tide in the Yellow Sea in 2021: Field Investigation and Analysis DOI Open Access
Min-Jie Song, Fan‐Zhou Kong, Yifan Li

et al.

International Journal of Environmental Research and Public Health, Journal Year: 2022, Volume and Issue: 19(18), P. 11753 - 11753

Published: Sept. 17, 2022

A massive green tide occurred in the Southern Yellow Sea (SYS) 2021. As previous years, its high biomass caused trouble to coastal environment and landscape Unusually, 2021 was unexpectedly massive. Thus, field surveys remote sensing were conducted SYS from December 2020 July Compared pure satellite observations, it revealed initial development of more clearly. Given effects temperature nutrient changes on biomass, we compared environmental parameters recent years found no significant increase concentrations or Relative 2020, exhibited a wide distribution, prolonged duration. It mainly affected by (1) reduced implementation source-control measures (2) limited

Language: Английский

Citations

19

Multi-Factors Synthetically Contribute to Ulva prolifera Outbreaks in the South Yellow Sea of China DOI Creative Commons

Mingyue Xue,

Mengquan Wu, Longxiao Zheng

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(21), P. 5151 - 5151

Published: Oct. 27, 2023

In recent years, the frequent outbreaks of Ulva prolifera in South Yellow Sea have become largest-scale green tide disasters world. The causes its garnered widespread attention, particularly coupled effects multiple factors. Leveraging Google Earth Engine (GEE) platform, this study conducted a long-term investigation disaster and factors using multi-source satellite imagery. Finally, combined natural environmental changes human activities on were analyzed by redundancy analysis (RDA) variation partitioning (VPA). results indicate: (1) Since 2018, scale has shown distinct “biennial” trend. (2) Regarding factors, SST, PAR, precipitation, windspeed certain growth prolifera. However, they cannot be considered as determining for outbreak (0.002 < R2 0.14). anthropogenic recycle time Pyropia yezoensis culture rafts relatively minor influence extent There exists positive correlation (R2 = 0.45) between footprint index (HFI) Jiangsu Province annual area Sea. (3) outbreaks. Ulvatotal explanatory power windspeed, HFI, is 31.8%, with these interweaving mutually influencing each other. This offers important insights into quantifying driving forces behind Sea, providing valuable information deeper comprehension complexity marine ecosystems sustainable management.

Language: Английский

Citations

12

Estimating Ulva prolifera green tides of the Yellow Sea through ConvLSTM data fusion DOI
Zhongyuan Wang, Zhixiang Fang,

Liang Jian-feng

et al.

Environmental Pollution, Journal Year: 2023, Volume and Issue: 324, P. 121350 - 121350

Published: Feb. 28, 2023

Language: Английский

Citations

11

Effects of photoperiod on the growth and physiological responses in Ulva prolifera under constant and diurnal temperature difference conditions DOI
Yahe Li,

Jianan Jiang,

Ruihong Zhang

et al.

Marine Environmental Research, Journal Year: 2024, Volume and Issue: 197, P. 106477 - 106477

Published: March 27, 2024

Language: Английский

Citations

4