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Global mapping reveals increase in lacustrine algal blooms over the past decade

Hou, Xuejiao ; Feng, Lian ; Dai, Yanhui ; Hu, Chuanmin ; Gibson, Luke ; Tang, Jing LU orcid ; Lee, Zhongping ; Wang, Ying ; Cai, Xiaobin and Liu, Junguo , et al. (2022) In Nature Geoscience 15(2). p.130-134
Abstract

Algal blooms constitute an emerging threat to global inland water quality, yet their spatial and temporal distribution at the global scale remains largely unknown. Here we establish a global bloom database, using 2.91 million Landsat satellite images from 1982 to 2019 to characterize algal blooms in 248,243 freshwater lakes, representing 57.1% of the global lake area. We show that 21,878 lakes (8.8%) spread across six continents have experienced algal blooms. The median bloom occurrence of affected lakes was 4.6%, but this frequency is increasing; we found increased bloom risks in the 2010s, globally (except for Oceania). The most pronounced increases were found in Asia and Africa, mostly in developing countries that remain reliant on... (More)

Algal blooms constitute an emerging threat to global inland water quality, yet their spatial and temporal distribution at the global scale remains largely unknown. Here we establish a global bloom database, using 2.91 million Landsat satellite images from 1982 to 2019 to characterize algal blooms in 248,243 freshwater lakes, representing 57.1% of the global lake area. We show that 21,878 lakes (8.8%) spread across six continents have experienced algal blooms. The median bloom occurrence of affected lakes was 4.6%, but this frequency is increasing; we found increased bloom risks in the 2010s, globally (except for Oceania). The most pronounced increases were found in Asia and Africa, mostly in developing countries that remain reliant on agricultural fertilizer. As algal blooms continue to expand in scale and magnitude, this baseline census will be vital towards future risk assessments and mitigation efforts.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Nature Geoscience
volume
15
issue
2
pages
5 pages
publisher
Nature Publishing Group
external identifiers
  • scopus:85124134947
ISSN
1752-0894
DOI
10.1038/s41561-021-00887-x
language
English
LU publication?
yes
id
171f73e3-2a64-4492-bbab-37a470c49e94
date added to LUP
2022-05-16 15:39:47
date last changed
2022-05-16 15:39:47
@article{171f73e3-2a64-4492-bbab-37a470c49e94,
  abstract     = {{<p>Algal blooms constitute an emerging threat to global inland water quality, yet their spatial and temporal distribution at the global scale remains largely unknown. Here we establish a global bloom database, using 2.91 million Landsat satellite images from 1982 to 2019 to characterize algal blooms in 248,243 freshwater lakes, representing 57.1% of the global lake area. We show that 21,878 lakes (8.8%) spread across six continents have experienced algal blooms. The median bloom occurrence of affected lakes was 4.6%, but this frequency is increasing; we found increased bloom risks in the 2010s, globally (except for Oceania). The most pronounced increases were found in Asia and Africa, mostly in developing countries that remain reliant on agricultural fertilizer. As algal blooms continue to expand in scale and magnitude, this baseline census will be vital towards future risk assessments and mitigation efforts.</p>}},
  author       = {{Hou, Xuejiao and Feng, Lian and Dai, Yanhui and Hu, Chuanmin and Gibson, Luke and Tang, Jing and Lee, Zhongping and Wang, Ying and Cai, Xiaobin and Liu, Junguo and Zheng, Yi and Zheng, Chunmiao}},
  issn         = {{1752-0894}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{2}},
  pages        = {{130--134}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Geoscience}},
  title        = {{Global mapping reveals increase in lacustrine algal blooms over the past decade}},
  url          = {{http://dx.doi.org/10.1038/s41561-021-00887-x}},
  doi          = {{10.1038/s41561-021-00887-x}},
  volume       = {{15}},
  year         = {{2022}},
}