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Unprecedent green macroalgae bloom: mechanism and implication to disaster prediction and prevention
- Source :
- International Journal of Digital Earth, Vol 16, Iss 1, Pp 3772-3793 (2023)
- Publication Year :
- 2023
- Publisher :
- Taylor & Francis Group, 2023.
-
Abstract
- Green macroalgae bloom (GMB), with the dominant species of Ulva prolifera, has regularly occurred since 2007 along the China coast. Although disaster prevention and control achieved favorable results in 2020, the satellite-observed GMB annual maximum coverage (AMC) rebounded sharply in 2021 to an unprecedented level. The reasons for this rebound and the significant interannual variability over past 15 years are still open questions. Here, by using long-term time-series (2007–2022) optical and Synthetic Aperture Radar satellite observations (1000+ scenes), meteorological data and water quality statistics, the mechanism analysis was performed by exploring effects from natural factors and human activities. Two key determinants for AMC are successfully identified from numerous potential factors which are the macroalgae distribution in a key area (the Subei Shoal) during a critical period (from April to May 20) and the nutrient availability. Furthermore, by using these two parameters, a novel model for AMC prediction (R2 = 0.87, p
Details
- Language :
- English
- ISSN :
- 17538947 and 17538955
- Volume :
- 16
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- International Journal of Digital Earth
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.f462f83f3416462f8b7e5260dd0e9af4
- Document Type :
- article
- Full Text :
- https://doi.org/10.1080/17538947.2023.2257658