Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment

Quantifying carbon emissions of water bodies at regional scale is required as recent studies revealed their contribution in carbon cycling is significant. This demands to scale up water bodies carbon emissions from local to regional scale using as accurate approach as possible. In this study data of...

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Main Author: Salimi, Shokoufeh
Format: Bachelor Thesis
Language:English
Published: Institutionen för ekologi, miljö och geovetenskap 2013
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82963
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spelling ftumeauniv:oai:DiVA.org:umu-82963 2023-10-09T21:56:09+02:00 Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment Salimi, Shokoufeh 2013 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82963 eng eng Institutionen för ekologi, miljö och geovetenskap http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82963 info:eu-repo/semantics/openAccess Subarctic catchment CO2 emission Upscaling method Lakes and ponds Alpine and subalpine regions Earth and Related Environmental Sciences Geovetenskap och miljövetenskap Student thesis info:eu-repo/semantics/bachelorThesis text 2013 ftumeauniv 2023-09-22T13:45:12Z Quantifying carbon emissions of water bodies at regional scale is required as recent studies revealed their contribution in carbon cycling is significant. This demands to scale up water bodies carbon emissions from local to regional scale using as accurate approach as possible. In this study data of carbon (CO2-C) fluxes for 80 sampled lakes were used to scale up to more than 3000 lakes and ponds over the catchment. The most appropriate method for upscaling was the one in which two factors of water body size and location (altitude) were involved and the uncertainties were quantified in an advanced approach (Monte Carlo model). Based on the estimates obtained in this method, the annual carbon emission from all water bodies (~ 500 km2) was about 2900 ton C yr-1 . About 62% of this annual emission was related to the large lake Torneträsk (334 km2) and another 38% to all other lakes and ponds (166 km2). Water bodies in subalpine region dominated (90%) total water bodies area and were the major contributor (97%) to the total carbon emissions of all water bodies. The remaining small contribution (3%) was for water bodies in the alpine region, which contains only 10% of total water bodies area. These data indicate that all water bodies smaller than the large lake Torneträsk especially the ones in the subalpine region have considerable contribution to the annual carbon emission of all water bodies. Considering water body size and altitude factors in the advanced upscaling method was appropriate to obtain accurate estimates. Bachelor Thesis Subarctic Umeå University: Publications (DiVA) Torneträsk ENVELOPE(18.861,18.861,68.392,68.392)
institution Open Polar
collection Umeå University: Publications (DiVA)
op_collection_id ftumeauniv
language English
topic Subarctic catchment
CO2 emission
Upscaling method
Lakes and ponds
Alpine and subalpine regions
Earth and Related Environmental Sciences
Geovetenskap och miljövetenskap
spellingShingle Subarctic catchment
CO2 emission
Upscaling method
Lakes and ponds
Alpine and subalpine regions
Earth and Related Environmental Sciences
Geovetenskap och miljövetenskap
Salimi, Shokoufeh
Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
topic_facet Subarctic catchment
CO2 emission
Upscaling method
Lakes and ponds
Alpine and subalpine regions
Earth and Related Environmental Sciences
Geovetenskap och miljövetenskap
description Quantifying carbon emissions of water bodies at regional scale is required as recent studies revealed their contribution in carbon cycling is significant. This demands to scale up water bodies carbon emissions from local to regional scale using as accurate approach as possible. In this study data of carbon (CO2-C) fluxes for 80 sampled lakes were used to scale up to more than 3000 lakes and ponds over the catchment. The most appropriate method for upscaling was the one in which two factors of water body size and location (altitude) were involved and the uncertainties were quantified in an advanced approach (Monte Carlo model). Based on the estimates obtained in this method, the annual carbon emission from all water bodies (~ 500 km2) was about 2900 ton C yr-1 . About 62% of this annual emission was related to the large lake Torneträsk (334 km2) and another 38% to all other lakes and ponds (166 km2). Water bodies in subalpine region dominated (90%) total water bodies area and were the major contributor (97%) to the total carbon emissions of all water bodies. The remaining small contribution (3%) was for water bodies in the alpine region, which contains only 10% of total water bodies area. These data indicate that all water bodies smaller than the large lake Torneträsk especially the ones in the subalpine region have considerable contribution to the annual carbon emission of all water bodies. Considering water body size and altitude factors in the advanced upscaling method was appropriate to obtain accurate estimates.
format Bachelor Thesis
author Salimi, Shokoufeh
author_facet Salimi, Shokoufeh
author_sort Salimi, Shokoufeh
title Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
title_short Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
title_full Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
title_fullStr Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
title_full_unstemmed Quantifying CO2 emissions from lakes and ponds in a large subarctic catchment
title_sort quantifying co2 emissions from lakes and ponds in a large subarctic catchment
publisher Institutionen för ekologi, miljö och geovetenskap
publishDate 2013
url http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82963
long_lat ENVELOPE(18.861,18.861,68.392,68.392)
geographic Torneträsk
geographic_facet Torneträsk
genre Subarctic
genre_facet Subarctic
op_relation http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-82963
op_rights info:eu-repo/semantics/openAccess
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