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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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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. |
format | Online Article Text |
id | pubmed-5171767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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