Dynamic modeling of organic carbon fates in lake ecosystems

Autores
McCullough, Ian M.; Dugan, Hilary A.; Farrell, Kaitlin J.; Morales Williams, Ana M.; Ouyang, Zutao; Roberts, Derek; Scordo, Facundo; Bartlett, Sarah L.; Burke, Samantha M.; Doubek, Jonathan P.; Krivak Tetley, Flora E.; Skaff, Nicholas K.; Summers, Jamie C.; Weathers, Kathleen C.; Hanson, Paul C.
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Lakes are active processors of organic carbon (OC) and play important roles in landscape and global carbon cycling. Allochthonous OC loads from the landscape, along with autochthonous OC loads from primary production, are mineralized in lakes, buried in lake sediments, and exported via surface or groundwater outflows. Although these processes provide a basis for a conceptual understanding of lake OC budgets, few studies have integrated these fluxes under a dynamic modeling framework to examine their interactions and relative magnitudes. We developed a simple, dynamic mass balance model for OC, and applied the model to a set of five lakes. We examined the relative magnitudes of OC fluxes and found that long-term (>10 year) lake OC dynamics were predominantly driven by allochthonous loads in four of the five lakes, underscoring the importance of terrestrially-derived OC in northern lake ecosystems. Our model highlighted seasonal patterns in lake OC budgets, with increasing water temperatures and lake productivity throughout the growing season corresponding to a transition from burial- to respiration-dominated OC fates. Ratios of respiration to burial, however, were also mediated by the source (autochthonous vs. allochthonous) of total OC loads. Autochthonous OC is more readily respired and may therefore proportionally reduce burial under a warming climate, but allochthonous OC may increase burial due to changes in precipitation. The ratios of autochthonous to allochthonous inputs and respiration to burial demonstrate the importance of dynamic models for examining both the seasonal and inter-annual roles of lakes in landscape and global carbon cycling, particularly in a global change context. Finally, we highlighted critical data needs, which include surface water DOC observations in paired tributary and lake systems, measurements of OC burial rates, groundwater input volume and DOC, and budgets of particulate OC.
Fil: McCullough, Ian M.. University of California; Estados Unidos
Fil: Dugan, Hilary A.. University of Wisconsin-Madison; Estados Unidos
Fil: Farrell, Kaitlin J.. Dartmouth College; Estados Unidos. University of Georgia; Estados Unidos
Fil: Morales Williams, Ana M.. University of Vermont; Estados Unidos
Fil: Ouyang, Zutao. Michigan State University; Estados Unidos
Fil: Roberts, Derek. University of California at Davis; Estados Unidos. Tahoe Environmental Research Center; Estados Unidos
Fil: Scordo, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Bartlett, Sarah L.. University of Wisconsin-Milwaukee; Estados Unidos
Fil: Burke, Samantha M.. University of Waterloo; Canadá
Fil: Doubek, Jonathan P.. Virginia Tech University; Estados Unidos
Fil: Krivak Tetley, Flora E.. Dartmouth College; Estados Unidos
Fil: Skaff, Nicholas K.. Michigan State University; Estados Unidos
Fil: Summers, Jamie C.. Queen’s University; Canadá
Fil: Weathers, Kathleen C.. Cary Institute of Ecosystem Studies; Estados Unidos
Fil: Hanson, Paul C.. University of Wisconsin-Madison; Estados Unidos
Materia
Carbon Cycle
Dissolved Organic Carbon
GLEON
LTER
Mass Balance
Particulate Organic Carbon
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/86365

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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Dynamic modeling of organic carbon fates in lake ecosystemsMcCullough, Ian M.Dugan, Hilary A.Farrell, Kaitlin J.Morales Williams, Ana M.Ouyang, ZutaoRoberts, DerekScordo, FacundoBartlett, Sarah L.Burke, Samantha M.Doubek, Jonathan P.Krivak Tetley, Flora E.Skaff, Nicholas K.Summers, Jamie C.Weathers, Kathleen C.Hanson, Paul C.Carbon CycleDissolved Organic CarbonGLEONLTERMass BalanceParticulate Organic Carbonhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Lakes are active processors of organic carbon (OC) and play important roles in landscape and global carbon cycling. Allochthonous OC loads from the landscape, along with autochthonous OC loads from primary production, are mineralized in lakes, buried in lake sediments, and exported via surface or groundwater outflows. Although these processes provide a basis for a conceptual understanding of lake OC budgets, few studies have integrated these fluxes under a dynamic modeling framework to examine their interactions and relative magnitudes. We developed a simple, dynamic mass balance model for OC, and applied the model to a set of five lakes. We examined the relative magnitudes of OC fluxes and found that long-term (>10 year) lake OC dynamics were predominantly driven by allochthonous loads in four of the five lakes, underscoring the importance of terrestrially-derived OC in northern lake ecosystems. Our model highlighted seasonal patterns in lake OC budgets, with increasing water temperatures and lake productivity throughout the growing season corresponding to a transition from burial- to respiration-dominated OC fates. Ratios of respiration to burial, however, were also mediated by the source (autochthonous vs. allochthonous) of total OC loads. Autochthonous OC is more readily respired and may therefore proportionally reduce burial under a warming climate, but allochthonous OC may increase burial due to changes in precipitation. The ratios of autochthonous to allochthonous inputs and respiration to burial demonstrate the importance of dynamic models for examining both the seasonal and inter-annual roles of lakes in landscape and global carbon cycling, particularly in a global change context. Finally, we highlighted critical data needs, which include surface water DOC observations in paired tributary and lake systems, measurements of OC burial rates, groundwater input volume and DOC, and budgets of particulate OC.Fil: McCullough, Ian M.. University of California; Estados UnidosFil: Dugan, Hilary A.. University of Wisconsin-Madison; Estados UnidosFil: Farrell, Kaitlin J.. Dartmouth College; Estados Unidos. University of Georgia; Estados UnidosFil: Morales Williams, Ana M.. University of Vermont; Estados UnidosFil: Ouyang, Zutao. Michigan State University; Estados UnidosFil: Roberts, Derek. University of California at Davis; Estados Unidos. Tahoe Environmental Research Center; Estados UnidosFil: Scordo, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; ArgentinaFil: Bartlett, Sarah L.. University of Wisconsin-Milwaukee; Estados UnidosFil: Burke, Samantha M.. University of Waterloo; CanadáFil: Doubek, Jonathan P.. Virginia Tech University; Estados UnidosFil: Krivak Tetley, Flora E.. Dartmouth College; Estados UnidosFil: Skaff, Nicholas K.. Michigan State University; Estados UnidosFil: Summers, Jamie C.. Queen’s University; CanadáFil: Weathers, Kathleen C.. Cary Institute of Ecosystem Studies; Estados UnidosFil: Hanson, Paul C.. University of Wisconsin-Madison; Estados UnidosElsevier Science2018-10-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/86365McCullough, Ian M.; Dugan, Hilary A.; Farrell, Kaitlin J.; Morales Williams, Ana M.; Ouyang, Zutao; et al.; Dynamic modeling of organic carbon fates in lake ecosystems; Elsevier Science; Ecological Modelling; 386; 24-10-2018; 71-820304-3800CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0304380018302783info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolmodel.2018.08.009info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:02:01Zoai:ri.conicet.gov.ar:11336/86365instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-10 13:02:02.172CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Dynamic modeling of organic carbon fates in lake ecosystems
title Dynamic modeling of organic carbon fates in lake ecosystems
spellingShingle Dynamic modeling of organic carbon fates in lake ecosystems
McCullough, Ian M.
Carbon Cycle
Dissolved Organic Carbon
GLEON
LTER
Mass Balance
Particulate Organic Carbon
title_short Dynamic modeling of organic carbon fates in lake ecosystems
title_full Dynamic modeling of organic carbon fates in lake ecosystems
title_fullStr Dynamic modeling of organic carbon fates in lake ecosystems
title_full_unstemmed Dynamic modeling of organic carbon fates in lake ecosystems
title_sort Dynamic modeling of organic carbon fates in lake ecosystems
dc.creator.none.fl_str_mv McCullough, Ian M.
Dugan, Hilary A.
Farrell, Kaitlin J.
Morales Williams, Ana M.
Ouyang, Zutao
Roberts, Derek
Scordo, Facundo
Bartlett, Sarah L.
Burke, Samantha M.
Doubek, Jonathan P.
Krivak Tetley, Flora E.
Skaff, Nicholas K.
Summers, Jamie C.
Weathers, Kathleen C.
Hanson, Paul C.
author McCullough, Ian M.
author_facet McCullough, Ian M.
Dugan, Hilary A.
Farrell, Kaitlin J.
Morales Williams, Ana M.
Ouyang, Zutao
Roberts, Derek
Scordo, Facundo
Bartlett, Sarah L.
Burke, Samantha M.
Doubek, Jonathan P.
Krivak Tetley, Flora E.
Skaff, Nicholas K.
Summers, Jamie C.
Weathers, Kathleen C.
Hanson, Paul C.
author_role author
author2 Dugan, Hilary A.
Farrell, Kaitlin J.
Morales Williams, Ana M.
Ouyang, Zutao
Roberts, Derek
Scordo, Facundo
Bartlett, Sarah L.
Burke, Samantha M.
Doubek, Jonathan P.
Krivak Tetley, Flora E.
Skaff, Nicholas K.
Summers, Jamie C.
Weathers, Kathleen C.
Hanson, Paul C.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Carbon Cycle
Dissolved Organic Carbon
GLEON
LTER
Mass Balance
Particulate Organic Carbon
topic Carbon Cycle
Dissolved Organic Carbon
GLEON
LTER
Mass Balance
Particulate Organic Carbon
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Lakes are active processors of organic carbon (OC) and play important roles in landscape and global carbon cycling. Allochthonous OC loads from the landscape, along with autochthonous OC loads from primary production, are mineralized in lakes, buried in lake sediments, and exported via surface or groundwater outflows. Although these processes provide a basis for a conceptual understanding of lake OC budgets, few studies have integrated these fluxes under a dynamic modeling framework to examine their interactions and relative magnitudes. We developed a simple, dynamic mass balance model for OC, and applied the model to a set of five lakes. We examined the relative magnitudes of OC fluxes and found that long-term (>10 year) lake OC dynamics were predominantly driven by allochthonous loads in four of the five lakes, underscoring the importance of terrestrially-derived OC in northern lake ecosystems. Our model highlighted seasonal patterns in lake OC budgets, with increasing water temperatures and lake productivity throughout the growing season corresponding to a transition from burial- to respiration-dominated OC fates. Ratios of respiration to burial, however, were also mediated by the source (autochthonous vs. allochthonous) of total OC loads. Autochthonous OC is more readily respired and may therefore proportionally reduce burial under a warming climate, but allochthonous OC may increase burial due to changes in precipitation. The ratios of autochthonous to allochthonous inputs and respiration to burial demonstrate the importance of dynamic models for examining both the seasonal and inter-annual roles of lakes in landscape and global carbon cycling, particularly in a global change context. Finally, we highlighted critical data needs, which include surface water DOC observations in paired tributary and lake systems, measurements of OC burial rates, groundwater input volume and DOC, and budgets of particulate OC.
Fil: McCullough, Ian M.. University of California; Estados Unidos
Fil: Dugan, Hilary A.. University of Wisconsin-Madison; Estados Unidos
Fil: Farrell, Kaitlin J.. Dartmouth College; Estados Unidos. University of Georgia; Estados Unidos
Fil: Morales Williams, Ana M.. University of Vermont; Estados Unidos
Fil: Ouyang, Zutao. Michigan State University; Estados Unidos
Fil: Roberts, Derek. University of California at Davis; Estados Unidos. Tahoe Environmental Research Center; Estados Unidos
Fil: Scordo, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto Argentino de Oceanografía. Universidad Nacional del Sur. Instituto Argentino de Oceanografía; Argentina
Fil: Bartlett, Sarah L.. University of Wisconsin-Milwaukee; Estados Unidos
Fil: Burke, Samantha M.. University of Waterloo; Canadá
Fil: Doubek, Jonathan P.. Virginia Tech University; Estados Unidos
Fil: Krivak Tetley, Flora E.. Dartmouth College; Estados Unidos
Fil: Skaff, Nicholas K.. Michigan State University; Estados Unidos
Fil: Summers, Jamie C.. Queen’s University; Canadá
Fil: Weathers, Kathleen C.. Cary Institute of Ecosystem Studies; Estados Unidos
Fil: Hanson, Paul C.. University of Wisconsin-Madison; Estados Unidos
description Lakes are active processors of organic carbon (OC) and play important roles in landscape and global carbon cycling. Allochthonous OC loads from the landscape, along with autochthonous OC loads from primary production, are mineralized in lakes, buried in lake sediments, and exported via surface or groundwater outflows. Although these processes provide a basis for a conceptual understanding of lake OC budgets, few studies have integrated these fluxes under a dynamic modeling framework to examine their interactions and relative magnitudes. We developed a simple, dynamic mass balance model for OC, and applied the model to a set of five lakes. We examined the relative magnitudes of OC fluxes and found that long-term (>10 year) lake OC dynamics were predominantly driven by allochthonous loads in four of the five lakes, underscoring the importance of terrestrially-derived OC in northern lake ecosystems. Our model highlighted seasonal patterns in lake OC budgets, with increasing water temperatures and lake productivity throughout the growing season corresponding to a transition from burial- to respiration-dominated OC fates. Ratios of respiration to burial, however, were also mediated by the source (autochthonous vs. allochthonous) of total OC loads. Autochthonous OC is more readily respired and may therefore proportionally reduce burial under a warming climate, but allochthonous OC may increase burial due to changes in precipitation. The ratios of autochthonous to allochthonous inputs and respiration to burial demonstrate the importance of dynamic models for examining both the seasonal and inter-annual roles of lakes in landscape and global carbon cycling, particularly in a global change context. Finally, we highlighted critical data needs, which include surface water DOC observations in paired tributary and lake systems, measurements of OC burial rates, groundwater input volume and DOC, and budgets of particulate OC.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-24
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/86365
McCullough, Ian M.; Dugan, Hilary A.; Farrell, Kaitlin J.; Morales Williams, Ana M.; Ouyang, Zutao; et al.; Dynamic modeling of organic carbon fates in lake ecosystems; Elsevier Science; Ecological Modelling; 386; 24-10-2018; 71-82
0304-3800
CONICET Digital
CONICET
url http://hdl.handle.net/11336/86365
identifier_str_mv McCullough, Ian M.; Dugan, Hilary A.; Farrell, Kaitlin J.; Morales Williams, Ana M.; Ouyang, Zutao; et al.; Dynamic modeling of organic carbon fates in lake ecosystems; Elsevier Science; Ecological Modelling; 386; 24-10-2018; 71-82
0304-3800
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0304380018302783
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolmodel.2018.08.009
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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