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A carbon balance model for the great dismal swamp ecosystem

BACKGROUND: Carbon storage potential has become an important consideration for land management and planning in the United States. The ability to assess ecosystem carbon balance can help land managers understand the benefits and tradeoffs between different management strategies. This paper demonstrat...

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Autores principales: Sleeter, Rachel, Sleeter, Benjamin M., Williams, Brianna, Hogan, Dianna, Hawbaker, Todd, Zhu, Zhiliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267585/
https://www.ncbi.nlm.nih.gov/pubmed/28413846
http://dx.doi.org/10.1186/s13021-017-0070-4
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author Sleeter, Rachel
Sleeter, Benjamin M.
Williams, Brianna
Hogan, Dianna
Hawbaker, Todd
Zhu, Zhiliang
author_facet Sleeter, Rachel
Sleeter, Benjamin M.
Williams, Brianna
Hogan, Dianna
Hawbaker, Todd
Zhu, Zhiliang
author_sort Sleeter, Rachel
collection PubMed
description BACKGROUND: Carbon storage potential has become an important consideration for land management and planning in the United States. The ability to assess ecosystem carbon balance can help land managers understand the benefits and tradeoffs between different management strategies. This paper demonstrates an application of the Land Use and Carbon Scenario Simulator (LUCAS) model developed for local-scale land management at the Great Dismal Swamp National Wildlife Refuge. We estimate the net ecosystem carbon balance by considering past ecosystem disturbances resulting from storm damage, fire, and land management actions including hydrologic inundation, vegetation clearing, and replanting. RESULTS: We modeled the annual ecosystem carbon stock and flow rates for the 30-year historic time period of 1985–2015, using age-structured forest growth curves and known data for disturbance events and management activities. The 30-year total net ecosystem production was estimated to be a net sink of 0.97 Tg C. When a hurricane and six historic fire events were considered in the simulation, the Great Dismal Swamp became a net source of 0.89 Tg C. The cumulative above and below-ground carbon loss estimated from the South One and Lateral West fire events totaled 1.70 Tg C, while management activities removed an additional 0.01 Tg C. The carbon loss in below-ground biomass alone totaled 1.38 Tg C, with the balance (0.31 Tg C) coming from above-ground biomass and detritus. CONCLUSIONS: Natural disturbances substantially impact net ecosystem carbon balance in the Great Dismal Swamp. Through alternative management actions such as re-wetting, below-ground biomass loss may have been avoided, resulting in the added carbon storage capacity of 1.38 Tg. Based on two model assumptions used to simulate the peat system, (a burn scar totaling 70 cm in depth, and the soil carbon accumulation rate of 0.36 t C/ha(−1)/year(−1) for Atlantic white cedar), the total soil carbon loss from the South One and Lateral West fires would take approximately 1740 years to re-amass. Due to the impractical time horizon this presents for land managers, this particular loss is considered permanent. Going forward, the baseline carbon stock and flow parameters presented here will be used as reference conditions to model future scenarios of land management and disturbance.
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spelling pubmed-52675852017-02-09 A carbon balance model for the great dismal swamp ecosystem Sleeter, Rachel Sleeter, Benjamin M. Williams, Brianna Hogan, Dianna Hawbaker, Todd Zhu, Zhiliang Carbon Balance Manag Methodology BACKGROUND: Carbon storage potential has become an important consideration for land management and planning in the United States. The ability to assess ecosystem carbon balance can help land managers understand the benefits and tradeoffs between different management strategies. This paper demonstrates an application of the Land Use and Carbon Scenario Simulator (LUCAS) model developed for local-scale land management at the Great Dismal Swamp National Wildlife Refuge. We estimate the net ecosystem carbon balance by considering past ecosystem disturbances resulting from storm damage, fire, and land management actions including hydrologic inundation, vegetation clearing, and replanting. RESULTS: We modeled the annual ecosystem carbon stock and flow rates for the 30-year historic time period of 1985–2015, using age-structured forest growth curves and known data for disturbance events and management activities. The 30-year total net ecosystem production was estimated to be a net sink of 0.97 Tg C. When a hurricane and six historic fire events were considered in the simulation, the Great Dismal Swamp became a net source of 0.89 Tg C. The cumulative above and below-ground carbon loss estimated from the South One and Lateral West fire events totaled 1.70 Tg C, while management activities removed an additional 0.01 Tg C. The carbon loss in below-ground biomass alone totaled 1.38 Tg C, with the balance (0.31 Tg C) coming from above-ground biomass and detritus. CONCLUSIONS: Natural disturbances substantially impact net ecosystem carbon balance in the Great Dismal Swamp. Through alternative management actions such as re-wetting, below-ground biomass loss may have been avoided, resulting in the added carbon storage capacity of 1.38 Tg. Based on two model assumptions used to simulate the peat system, (a burn scar totaling 70 cm in depth, and the soil carbon accumulation rate of 0.36 t C/ha(−1)/year(−1) for Atlantic white cedar), the total soil carbon loss from the South One and Lateral West fires would take approximately 1740 years to re-amass. Due to the impractical time horizon this presents for land managers, this particular loss is considered permanent. Going forward, the baseline carbon stock and flow parameters presented here will be used as reference conditions to model future scenarios of land management and disturbance. Springer International Publishing 2017-01-25 /pmc/articles/PMC5267585/ /pubmed/28413846 http://dx.doi.org/10.1186/s13021-017-0070-4 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Methodology
Sleeter, Rachel
Sleeter, Benjamin M.
Williams, Brianna
Hogan, Dianna
Hawbaker, Todd
Zhu, Zhiliang
A carbon balance model for the great dismal swamp ecosystem
title A carbon balance model for the great dismal swamp ecosystem
title_full A carbon balance model for the great dismal swamp ecosystem
title_fullStr A carbon balance model for the great dismal swamp ecosystem
title_full_unstemmed A carbon balance model for the great dismal swamp ecosystem
title_short A carbon balance model for the great dismal swamp ecosystem
title_sort carbon balance model for the great dismal swamp ecosystem
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5267585/
https://www.ncbi.nlm.nih.gov/pubmed/28413846
http://dx.doi.org/10.1186/s13021-017-0070-4
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