Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018
Large freshwater lakes provide immense value to the surrounding populations, yet there is limited understanding of how these lakes will respond to climate change and other factors. This study uses satellite remote sensing to estimate annual, lake-wide primary production in 11 of the world’s largest...
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ftmdpi:oai:mdpi.com:/2073-4441/12/12/3500/ 2023-08-20T04:06:45+02:00 Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 Michael Sayers Karl Bosse Gary Fahnenstiel Robert Shuchman agris 2020-12-12 application/pdf https://doi.org/10.3390/w12123500 EN eng Multidisciplinary Digital Publishing Institute Water Quality and Contamination https://dx.doi.org/10.3390/w12123500 https://creativecommons.org/licenses/by/4.0/ Water; Volume 12; Issue 12; Pages: 3500 primary production carbon remote sensing climate change Great Lakes Text 2020 ftmdpi https://doi.org/10.3390/w12123500 2023-08-01T00:39:23Z Large freshwater lakes provide immense value to the surrounding populations, yet there is limited understanding of how these lakes will respond to climate change and other factors. This study uses satellite remote sensing to estimate annual, lake-wide primary production in 11 of the world’s largest lakes from 2003–2018. These lakes include the five Laurentian Great Lakes, the three African Great Lakes, Lake Baikal, and Great Bear and Great Slave Lakes. Mean annual production in these lakes ranged from under 200 mgC/m2/day to over 1100 mgC/m2/day, and the lakes were placed into one of three distinct groups (oligotrophic, mesotrophic, or eutrophic) based on their level of production. The analysis revealed only three lakes with significant production trends over the study period, with increases in Great Bear Lake (24% increase over the study period) and Great Slave Lake (27%) and a decline in Lake Tanganyika (−16%). These changes appear to be related to climate change, including increasing temperatures and solar radiation and decreasing wind speeds. This study is the first to use consistent methodology to study primary production in the world’s largest lakes, allowing for these novel between-lake comparisons and assessment of inter-annual trends. Text Great Bear Lake Great Slave Lake MDPI Open Access Publishing Great Bear Lake ENVELOPE(-120.753,-120.753,65.834,65.834) Great Slave Lake ENVELOPE(-114.001,-114.001,61.500,61.500) Water 12 12 3500 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
primary production carbon remote sensing climate change Great Lakes |
spellingShingle |
primary production carbon remote sensing climate change Great Lakes Michael Sayers Karl Bosse Gary Fahnenstiel Robert Shuchman Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
topic_facet |
primary production carbon remote sensing climate change Great Lakes |
description |
Large freshwater lakes provide immense value to the surrounding populations, yet there is limited understanding of how these lakes will respond to climate change and other factors. This study uses satellite remote sensing to estimate annual, lake-wide primary production in 11 of the world’s largest lakes from 2003–2018. These lakes include the five Laurentian Great Lakes, the three African Great Lakes, Lake Baikal, and Great Bear and Great Slave Lakes. Mean annual production in these lakes ranged from under 200 mgC/m2/day to over 1100 mgC/m2/day, and the lakes were placed into one of three distinct groups (oligotrophic, mesotrophic, or eutrophic) based on their level of production. The analysis revealed only three lakes with significant production trends over the study period, with increases in Great Bear Lake (24% increase over the study period) and Great Slave Lake (27%) and a decline in Lake Tanganyika (−16%). These changes appear to be related to climate change, including increasing temperatures and solar radiation and decreasing wind speeds. This study is the first to use consistent methodology to study primary production in the world’s largest lakes, allowing for these novel between-lake comparisons and assessment of inter-annual trends. |
format |
Text |
author |
Michael Sayers Karl Bosse Gary Fahnenstiel Robert Shuchman |
author_facet |
Michael Sayers Karl Bosse Gary Fahnenstiel Robert Shuchman |
author_sort |
Michael Sayers |
title |
Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
title_short |
Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
title_full |
Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
title_fullStr |
Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
title_full_unstemmed |
Carbon Fixation Trends in Eleven of the World’s Largest Lakes: 2003–2018 |
title_sort |
carbon fixation trends in eleven of the world’s largest lakes: 2003–2018 |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2020 |
url |
https://doi.org/10.3390/w12123500 |
op_coverage |
agris |
long_lat |
ENVELOPE(-120.753,-120.753,65.834,65.834) ENVELOPE(-114.001,-114.001,61.500,61.500) |
geographic |
Great Bear Lake Great Slave Lake |
geographic_facet |
Great Bear Lake Great Slave Lake |
genre |
Great Bear Lake Great Slave Lake |
genre_facet |
Great Bear Lake Great Slave Lake |
op_source |
Water; Volume 12; Issue 12; Pages: 3500 |
op_relation |
Water Quality and Contamination https://dx.doi.org/10.3390/w12123500 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/w12123500 |
container_title |
Water |
container_volume |
12 |
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12 |
container_start_page |
3500 |
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1774718054959153152 |