Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus
The Cyanobacteria Prochlorococcus and Synechococcus account for a substantial fraction of marine primary production. Here, we present quantitative niche models for these lineages that assess present and future global abundances and distributions. These niche models are the result of neural network,...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00278424_v110_n24_p9824_Flombaum http://hdl.handle.net/20.500.12110/paper_00278424_v110_n24_p9824_Flombaum |
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paper:paper_00278424_v110_n24_p9824_Flombaum2023-06-08T14:54:28Z Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus Climate change Marine biogeochemistry Microbial biogeography article artificial neural network biogeochemical cycle cell count climate change ecosystem environmental factor greenhouse gas microbial community nonhuman priority journal Prochlorococcus sea surface temperature seasonal variation Synechococcus temperature climate change marine biogeochemistry microbial biogeography Algorithms Atlantic Ocean Ecosystem Forecasting Geography Indian Ocean Marine Biology Models, Biological Pacific Ocean Population Density Population Dynamics Prochlorococcus Regression Analysis Seasons Seawater Synechococcus Temperature Cyanobacteria Prochlorococcus Synechococcus The Cyanobacteria Prochlorococcus and Synechococcus account for a substantial fraction of marine primary production. Here, we present quantitative niche models for these lineages that assess present and future global abundances and distributions. These niche models are the result of neural network, nonparametric, and parametric analyses, and they rely on >35,000 discrete observations from all major ocean regions. The models assess cell abundance based on temperature and photosynthetically active radiation, but the individual responses to these environmental variables differ for each lineage. The models estimate global biogeographic patterns and seasonal variability of cell abundance, with maxima in the warm oligotrophic gyres of the Indian and the western Pacific Oceans and minima at higher latitudes. The annual mean global abundances of Prochlorococcus and Synechococcus are 2.9 ± 0.1 × 1027 and 7.0 ± 0.3 × 1026 cells, respectively. Using projections of sea surface temperature as a result of increased concentration of greenhouse gases at the end of the 21st century, our niche models projected increases in cell numbers of 29% and 14% for Prochlorococcus and Synechococcus, respectively. The changes are geographically uneven but include an increase in area. Thus, our global niche models suggest that oceanic microbial communities will experience complex changes as a result of projected future climate conditions. Because of the high abundances and contributions to primary production of Prochlorococcus and Synechococcus, these changes may have large impacts on ocean ecosystems and biogeochemical cycles. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00278424_v110_n24_p9824_Flombaum http://hdl.handle.net/20.500.12110/paper_00278424_v110_n24_p9824_Flombaum |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Climate change Marine biogeochemistry Microbial biogeography article artificial neural network biogeochemical cycle cell count climate change ecosystem environmental factor greenhouse gas microbial community nonhuman priority journal Prochlorococcus sea surface temperature seasonal variation Synechococcus temperature climate change marine biogeochemistry microbial biogeography Algorithms Atlantic Ocean Ecosystem Forecasting Geography Indian Ocean Marine Biology Models, Biological Pacific Ocean Population Density Population Dynamics Prochlorococcus Regression Analysis Seasons Seawater Synechococcus Temperature Cyanobacteria Prochlorococcus Synechococcus |
spellingShingle |
Climate change Marine biogeochemistry Microbial biogeography article artificial neural network biogeochemical cycle cell count climate change ecosystem environmental factor greenhouse gas microbial community nonhuman priority journal Prochlorococcus sea surface temperature seasonal variation Synechococcus temperature climate change marine biogeochemistry microbial biogeography Algorithms Atlantic Ocean Ecosystem Forecasting Geography Indian Ocean Marine Biology Models, Biological Pacific Ocean Population Density Population Dynamics Prochlorococcus Regression Analysis Seasons Seawater Synechococcus Temperature Cyanobacteria Prochlorococcus Synechococcus Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
topic_facet |
Climate change Marine biogeochemistry Microbial biogeography article artificial neural network biogeochemical cycle cell count climate change ecosystem environmental factor greenhouse gas microbial community nonhuman priority journal Prochlorococcus sea surface temperature seasonal variation Synechococcus temperature climate change marine biogeochemistry microbial biogeography Algorithms Atlantic Ocean Ecosystem Forecasting Geography Indian Ocean Marine Biology Models, Biological Pacific Ocean Population Density Population Dynamics Prochlorococcus Regression Analysis Seasons Seawater Synechococcus Temperature Cyanobacteria Prochlorococcus Synechococcus |
description |
The Cyanobacteria Prochlorococcus and Synechococcus account for a substantial fraction of marine primary production. Here, we present quantitative niche models for these lineages that assess present and future global abundances and distributions. These niche models are the result of neural network, nonparametric, and parametric analyses, and they rely on >35,000 discrete observations from all major ocean regions. The models assess cell abundance based on temperature and photosynthetically active radiation, but the individual responses to these environmental variables differ for each lineage. The models estimate global biogeographic patterns and seasonal variability of cell abundance, with maxima in the warm oligotrophic gyres of the Indian and the western Pacific Oceans and minima at higher latitudes. The annual mean global abundances of Prochlorococcus and Synechococcus are 2.9 ± 0.1 × 1027 and 7.0 ± 0.3 × 1026 cells, respectively. Using projections of sea surface temperature as a result of increased concentration of greenhouse gases at the end of the 21st century, our niche models projected increases in cell numbers of 29% and 14% for Prochlorococcus and Synechococcus, respectively. The changes are geographically uneven but include an increase in area. Thus, our global niche models suggest that oceanic microbial communities will experience complex changes as a result of projected future climate conditions. Because of the high abundances and contributions to primary production of Prochlorococcus and Synechococcus, these changes may have large impacts on ocean ecosystems and biogeochemical cycles. |
title |
Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
title_short |
Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
title_full |
Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
title_fullStr |
Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
title_full_unstemmed |
Present and future global distributions of the marine Cyanobacteria Prochlorococcus and Synechococcus |
title_sort |
present and future global distributions of the marine cyanobacteria prochlorococcus and synechococcus |
publishDate |
2013 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00278424_v110_n24_p9824_Flombaum http://hdl.handle.net/20.500.12110/paper_00278424_v110_n24_p9824_Flombaum |
_version_ |
1768544675261579264 |