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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ftdoajarticles:oai:doaj.org/article:a937959da8de4f6c85517135ca277c24 2023-05-15T18:45:57+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 2014-09-01T00:00:00Z https://doi.org/10.3390/rs6109145 https://doaj.org/article/a937959da8de4f6c85517135ca277c24 EN eng MDPI AG http://www.mdpi.com/2072-4292/6/10/9145 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6109145 https://doaj.org/article/a937959da8de4f6c85517135ca277c24 Remote Sensing, Vol 6, Iss 10, Pp 9145-9169 (2014) boreal climate change fire succession forest composition future Science Q article 2014 ftdoajarticles https://doi.org/10.3390/rs6109145 2022-12-31T11:08:19Z 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. Article in Journal/Newspaper Yukon river Yukon Directory of Open Access Journals: DOAJ Articles Yukon Remote Sensing 6 10 9145 9169 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
boreal climate change fire succession forest composition future Science Q |
spellingShingle |
boreal climate change fire succession forest composition future Science Q 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 Science Q |
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 |
Article in Journal/Newspaper |
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 |
MDPI AG |
publishDate |
2014 |
url |
https://doi.org/10.3390/rs6109145 https://doaj.org/article/a937959da8de4f6c85517135ca277c24 |
geographic |
Yukon |
geographic_facet |
Yukon |
genre |
Yukon river Yukon |
genre_facet |
Yukon river Yukon |
op_source |
Remote Sensing, Vol 6, Iss 10, Pp 9145-9169 (2014) |
op_relation |
http://www.mdpi.com/2072-4292/6/10/9145 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs6109145 https://doaj.org/article/a937959da8de4f6c85517135ca277c24 |
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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1766237180222504960 |