Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests

Abstract Forest management practices emphasizing stand structural complexity are of interest across the northern forest region of the United States because of their potential to enhance carbon storage. Our research is part of a long‐term study evaluating silvicultural treatments that promote late‐su...

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Main Authors: Sarah E. Ford, William S. Keeton
Format: Article
Language:English
Published: Wiley 2017-04-01
Series:Ecosphere
Subjects:
Online Access:https://doi.org/10.1002/ecs2.1721
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author Sarah E. Ford
William S. Keeton
author_facet Sarah E. Ford
William S. Keeton
author_sort Sarah E. Ford
collection DOAJ
description Abstract Forest management practices emphasizing stand structural complexity are of interest across the northern forest region of the United States because of their potential to enhance carbon storage. Our research is part of a long‐term study evaluating silvicultural treatments that promote late‐successional forest characteristics in northern hardwood‐conifer forests. We are testing the hypothesis that aboveground biomass development (carbon storage) is greater in structural complexity enhancement (SCE) treatments when compared to conventional uneven‐aged treatments. Structural complexity enhancement treatments were compared against selection systems (single‐tree and group) modified to retain elevated structure. Manipulations and controls were replicated across 2‐ha treatment units at two study areas in Vermont, United States. Data on aboveground biomass pools (live trees, standing dead, and downed wood) were collected pre‐ and post‐treatment, then again a decade later. Species group‐specific allometric equations were used to estimate live and standing dead biomass, and downed log biomass was estimated volumetrically. We used the Forest Vegetation Simulator to project “no‐treatment” baselines specific to treatment units, allowing measured carbon responses to be normalized against differences in site characteristics affecting tree growth and pre‐treatment stand structure. Results indicate that biomass development and carbon storage 10 yr post‐treatment were greatest in SCE treatments compared to conventional treatments, with the greatest increases in coarse woody material (CWM) pools. Structural complexity enhancement treatments contained 12.67 Mg/ha carbon in CWM compared to 6.62 Mg/ha in conventional treatments and 8.84 Mg/ha in areas with no treatment. Percentage differences between post‐treatment carbon and simulated/projected baseline values indicate that carbon pool values in SCE treatments returned closest to pre‐harvest or untreated levels over conventional treatments. Total carbon storage in SCE aboveground pools was 15.90% less than that projected for no‐treatment compared to 44.94% less in conventionally treated areas. Results from classification and regression tree models indicated treatment as the strongest predictor of aboveground C storage followed by site‐specific variables, suggesting a strong influence of both on carbon pools. Structural enhancement treatments have the potential to increase carbon storage in managed northern hardwoods. They offer an alternative for sustainable management integrating carbon, associated climate change mitigation benefits, and late‐successional forest structure and habitat.
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spelling doaj.art-cc8e6889993048218c36bfaf35b0466e2022-12-22T00:35:41ZengWileyEcosphere2150-89252017-04-0184n/an/a10.1002/ecs2.1721Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forestsSarah E. Ford0William S. Keeton1Rubenstein School of Environment and Natural Resources University of Vermont 81 Carrigan Drive Burlington Vermont 05405 USARubenstein School of Environment and Natural Resources University of Vermont 81 Carrigan Drive Burlington Vermont 05405 USAAbstract Forest management practices emphasizing stand structural complexity are of interest across the northern forest region of the United States because of their potential to enhance carbon storage. Our research is part of a long‐term study evaluating silvicultural treatments that promote late‐successional forest characteristics in northern hardwood‐conifer forests. We are testing the hypothesis that aboveground biomass development (carbon storage) is greater in structural complexity enhancement (SCE) treatments when compared to conventional uneven‐aged treatments. Structural complexity enhancement treatments were compared against selection systems (single‐tree and group) modified to retain elevated structure. Manipulations and controls were replicated across 2‐ha treatment units at two study areas in Vermont, United States. Data on aboveground biomass pools (live trees, standing dead, and downed wood) were collected pre‐ and post‐treatment, then again a decade later. Species group‐specific allometric equations were used to estimate live and standing dead biomass, and downed log biomass was estimated volumetrically. We used the Forest Vegetation Simulator to project “no‐treatment” baselines specific to treatment units, allowing measured carbon responses to be normalized against differences in site characteristics affecting tree growth and pre‐treatment stand structure. Results indicate that biomass development and carbon storage 10 yr post‐treatment were greatest in SCE treatments compared to conventional treatments, with the greatest increases in coarse woody material (CWM) pools. Structural complexity enhancement treatments contained 12.67 Mg/ha carbon in CWM compared to 6.62 Mg/ha in conventional treatments and 8.84 Mg/ha in areas with no treatment. Percentage differences between post‐treatment carbon and simulated/projected baseline values indicate that carbon pool values in SCE treatments returned closest to pre‐harvest or untreated levels over conventional treatments. Total carbon storage in SCE aboveground pools was 15.90% less than that projected for no‐treatment compared to 44.94% less in conventionally treated areas. Results from classification and regression tree models indicated treatment as the strongest predictor of aboveground C storage followed by site‐specific variables, suggesting a strong influence of both on carbon pools. Structural enhancement treatments have the potential to increase carbon storage in managed northern hardwoods. They offer an alternative for sustainable management integrating carbon, associated climate change mitigation benefits, and late‐successional forest structure and habitat.https://doi.org/10.1002/ecs2.1721carbon forestrycarbon storageforest structureForest Vegetation Simulatorlate‐successionalnorthern hardwoods
spellingShingle Sarah E. Ford
William S. Keeton
Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
Ecosphere
carbon forestry
carbon storage
forest structure
Forest Vegetation Simulator
late‐successional
northern hardwoods
title Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
title_full Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
title_fullStr Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
title_full_unstemmed Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
title_short Enhanced carbon storage through management for old‐growth characteristics in northern hardwood‐conifer forests
title_sort enhanced carbon storage through management for old growth characteristics in northern hardwood conifer forests
topic carbon forestry
carbon storage
forest structure
Forest Vegetation Simulator
late‐successional
northern hardwoods
url https://doi.org/10.1002/ecs2.1721
work_keys_str_mv AT saraheford enhancedcarbonstoragethroughmanagementforoldgrowthcharacteristicsinnorthernhardwoodconiferforests
AT williamskeeton enhancedcarbonstoragethroughmanagementforoldgrowthcharacteristicsinnorthernhardwoodconiferforests