Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest

A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled...

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Published in:Remote Sensing
Main Authors: Bruce Wylie, Matthew Rigge, Brian Brisco, Kevin Murnaghan, Jennifer Rover, Jordan Long
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2014
Subjects:
Online Access:https://doi.org/10.3390/rs6109145
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spelling ftmdpi:oai:mdpi.com:/2072-4292/6/10/9145/ 2023-10-09T21:56:29+02:00 Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest Bruce Wylie Matthew Rigge Brian Brisco Kevin Murnaghan Jennifer Rover Jordan Long agris 2014-09-26 application/pdf https://doi.org/10.3390/rs6109145 eng eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs6109145 https://creativecommons.org/licenses/by/4.0/ Remote Sensing Volume 6 Issue 10 Pages: 9145-9169 boreal climate change fire succession forest composition future Text 2014 ftmdpi https://doi.org/10.3390/rs6109145 2023-09-10T23:55:36Z A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled Expected Ecosystem Performance (EEP), or anticipated productivity, in undisturbed stands over the 2000–2008 period from a variety of abiotic data sources, using a rule-based piecewise regression tree. The EEP model was applied to a future climate ensemble A1B projection to quantify expected changes to mature boreal forest performance. Ecosystem Performance Anomalies (EPA), were identified as the residuals of the EEP and GSN relationship and represent performance departures from expected performance conditions. These performance data were used to monitor successional events following fire. Results suggested that maximum EPA occurs 30–40 years following fire, and deciduous stands generally have higher EPA than coniferous stands. Mean undisturbed EEP is projected to increase 5.6% by 2040 and 8.7% by 2070, suggesting an increased deciduous component in boreal forests. Our results contribute to the understanding of boreal forest successional dynamics and its response to climate change. This information enables informed decisions to prepare for, and adapt to, climate change in the Yukon River Basin forest. Text Yukon river Yukon MDPI Open Access Publishing Yukon Remote Sensing 6 10 9145 9169
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic boreal
climate change
fire
succession
forest composition
future
spellingShingle boreal
climate change
fire
succession
forest composition
future
Bruce Wylie
Matthew Rigge
Brian Brisco
Kevin Murnaghan
Jennifer Rover
Jordan Long
Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
topic_facet boreal
climate change
fire
succession
forest composition
future
description A warming climate influences boreal forest productivity, dynamics, and disturbance regimes. We used ecosystem models and 250 m satellite Normalized Difference Vegetation Index (NDVI) data averaged over the growing season (GSN) to model current, and estimate future, ecosystem performance. We modeled Expected Ecosystem Performance (EEP), or anticipated productivity, in undisturbed stands over the 2000–2008 period from a variety of abiotic data sources, using a rule-based piecewise regression tree. The EEP model was applied to a future climate ensemble A1B projection to quantify expected changes to mature boreal forest performance. Ecosystem Performance Anomalies (EPA), were identified as the residuals of the EEP and GSN relationship and represent performance departures from expected performance conditions. These performance data were used to monitor successional events following fire. Results suggested that maximum EPA occurs 30–40 years following fire, and deciduous stands generally have higher EPA than coniferous stands. Mean undisturbed EEP is projected to increase 5.6% by 2040 and 8.7% by 2070, suggesting an increased deciduous component in boreal forests. Our results contribute to the understanding of boreal forest successional dynamics and its response to climate change. This information enables informed decisions to prepare for, and adapt to, climate change in the Yukon River Basin forest.
format Text
author Bruce Wylie
Matthew Rigge
Brian Brisco
Kevin Murnaghan
Jennifer Rover
Jordan Long
author_facet Bruce Wylie
Matthew Rigge
Brian Brisco
Kevin Murnaghan
Jennifer Rover
Jordan Long
author_sort Bruce Wylie
title Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
title_short Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
title_full Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
title_fullStr Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
title_full_unstemmed Effects of Disturbance and Climate Change on Ecosystem Performance in the Yukon River Basin Boreal Forest
title_sort effects of disturbance and climate change on ecosystem performance in the yukon river basin boreal forest
publisher Multidisciplinary Digital Publishing Institute
publishDate 2014
url https://doi.org/10.3390/rs6109145
op_coverage agris
geographic Yukon
geographic_facet Yukon
genre Yukon river
Yukon
genre_facet Yukon river
Yukon
op_source Remote Sensing
Volume 6
Issue 10
Pages: 9145-9169
op_relation https://dx.doi.org/10.3390/rs6109145
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs6109145
container_title Remote Sensing
container_volume 6
container_issue 10
container_start_page 9145
op_container_end_page 9169
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