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Estimating the volume and age of water stored in global lakes using a geo-statistical approach

Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales...

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Autores principales: Messager, Mathis Loïc, Lehner, Bernhard, Grill, Günther, Nedeva, Irena, Schmitt, Oliver
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171767/
https://www.ncbi.nlm.nih.gov/pubmed/27976671
http://dx.doi.org/10.1038/ncomms13603
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author Messager, Mathis Loïc
Lehner, Bernhard
Grill, Günther
Nedeva, Irena
Schmitt, Oliver
author_facet Messager, Mathis Loïc
Lehner, Bernhard
Grill, Günther
Nedeva, Irena
Schmitt, Oliver
author_sort Messager, Mathis Loïc
collection PubMed
description Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 10(6) km(2) (1.8% of global land area), a total shoreline length of 7.2 × 10(6) km (about four times longer than the world's ocean coastline) and a total volume of 181.9 × 10(3) km(3) (0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively.
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spelling pubmed-51717672016-12-23 Estimating the volume and age of water stored in global lakes using a geo-statistical approach Messager, Mathis Loïc Lehner, Bernhard Grill, Günther Nedeva, Irena Schmitt, Oliver Nat Commun Article Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 10(6) km(2) (1.8% of global land area), a total shoreline length of 7.2 × 10(6) km (about four times longer than the world's ocean coastline) and a total volume of 181.9 × 10(3) km(3) (0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively. Nature Publishing Group 2016-12-15 /pmc/articles/PMC5171767/ /pubmed/27976671 http://dx.doi.org/10.1038/ncomms13603 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Messager, Mathis Loïc
Lehner, Bernhard
Grill, Günther
Nedeva, Irena
Schmitt, Oliver
Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_full Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_fullStr Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_full_unstemmed Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_short Estimating the volume and age of water stored in global lakes using a geo-statistical approach
title_sort estimating the volume and age of water stored in global lakes using a geo-statistical approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5171767/
https://www.ncbi.nlm.nih.gov/pubmed/27976671
http://dx.doi.org/10.1038/ncomms13603
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