Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.

Arctic ecosystems at the forest-tundra ecotone are particularly sensitive to climate-driven vegetation changes. Many recent studies have observed shifts in vegetation cover, particularly an increase in shrub growth. Here, vegetation changes were assessed at the local scale near Umiujaq, northern Que...

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Published in:Écoscience
Main Authors: Provencher-Nolet, Laurence, Bernier, Monique, Lévesque, Esther
Format: Article in Journal/Newspaper
Language:unknown
Published: 2014
Subjects:
Online Access:https://espace.inrs.ca/id/eprint/3662/
https://doi.org/10.2980/21-(3-4)-3715
id ftinrsquebec:oai:espace.inrs.ca:3662
record_format openpolar
spelling ftinrsquebec:oai:espace.inrs.ca:3662 2023-05-15T14:56:15+02:00 Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs. Provencher-Nolet, Laurence Bernier, Monique Lévesque, Esther 2014 https://espace.inrs.ca/id/eprint/3662/ https://doi.org/10.2980/21-(3-4)-3715 unknown Provencher-Nolet, Laurence, Bernier, Monique et Lévesque, Esther (2014). Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs. Ecoscience , vol. 21 , nº 3-4. p. 419-433. DOI:10.2980/21-(3-4)-3715 <https://doi.org/10.2980/21-%283-4%29-3715>. doi:10.2980/21-(3-4)-3715 arctic shrub tundra change-detection analysis object-based classification shrubification Umiujaq Article Évalué par les pairs 2014 ftinrsquebec https://doi.org/10.2980/21-(3-4)-3715 2023-02-10T11:42:35Z Arctic ecosystems at the forest-tundra ecotone are particularly sensitive to climate-driven vegetation changes. Many recent studies have observed shifts in vegetation cover, particularly an increase in shrub growth. Here, vegetation changes were assessed at the local scale near Umiujaq, northern Quebec (Canada, 56.55 degrees, 76.55 degrees W) using colour aerial photographs (1994 and 2010). By applying semi-automated image classification methods and change-detection analysis, we were able to detect and map the dominant vegetation cover changes. Comparison of classification results shows a 12% increase in shrub cover, loss of nearly 8% of lichen cover, stability of the spruce zones, and disappearance of nearly a quarter of thermokarst ponds. The 2 resulting maps were superimposed to spatialize the change. Change-detection analysis revealed that a shift toward shrub-dominated landscape was the most important change in the 1994 vegetation classes. This shift affected 18% of the studied area in the valley. The resulting "from-to" land-cover change map illustrates the general ongoing shrubification in the region. Article in Journal/Newspaper Arctic Thermokarst Tundra Umiujaq Institut national de la recherche scientifique, Québec: Espace INRS Arctic Canada Umiujaq ENVELOPE(-76.549,-76.549,56.553,56.553) Écoscience 21 3-4 419 433
institution Open Polar
collection Institut national de la recherche scientifique, Québec: Espace INRS
op_collection_id ftinrsquebec
language unknown
topic arctic shrub tundra
change-detection analysis
object-based classification
shrubification
Umiujaq
spellingShingle arctic shrub tundra
change-detection analysis
object-based classification
shrubification
Umiujaq
Provencher-Nolet, Laurence
Bernier, Monique
Lévesque, Esther
Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
topic_facet arctic shrub tundra
change-detection analysis
object-based classification
shrubification
Umiujaq
description Arctic ecosystems at the forest-tundra ecotone are particularly sensitive to climate-driven vegetation changes. Many recent studies have observed shifts in vegetation cover, particularly an increase in shrub growth. Here, vegetation changes were assessed at the local scale near Umiujaq, northern Quebec (Canada, 56.55 degrees, 76.55 degrees W) using colour aerial photographs (1994 and 2010). By applying semi-automated image classification methods and change-detection analysis, we were able to detect and map the dominant vegetation cover changes. Comparison of classification results shows a 12% increase in shrub cover, loss of nearly 8% of lichen cover, stability of the spruce zones, and disappearance of nearly a quarter of thermokarst ponds. The 2 resulting maps were superimposed to spatialize the change. Change-detection analysis revealed that a shift toward shrub-dominated landscape was the most important change in the 1994 vegetation classes. This shift affected 18% of the studied area in the valley. The resulting "from-to" land-cover change map illustrates the general ongoing shrubification in the region.
format Article in Journal/Newspaper
author Provencher-Nolet, Laurence
Bernier, Monique
Lévesque, Esther
author_facet Provencher-Nolet, Laurence
Bernier, Monique
Lévesque, Esther
author_sort Provencher-Nolet, Laurence
title Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
title_short Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
title_full Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
title_fullStr Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
title_full_unstemmed Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
title_sort quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs.
publishDate 2014
url https://espace.inrs.ca/id/eprint/3662/
https://doi.org/10.2980/21-(3-4)-3715
long_lat ENVELOPE(-76.549,-76.549,56.553,56.553)
geographic Arctic
Canada
Umiujaq
geographic_facet Arctic
Canada
Umiujaq
genre Arctic
Thermokarst
Tundra
Umiujaq
genre_facet Arctic
Thermokarst
Tundra
Umiujaq
op_relation Provencher-Nolet, Laurence, Bernier, Monique et Lévesque, Esther (2014). Quantification of recent changes to the forest- tundra ecotone through numerical analysis of aerial photographs. Ecoscience , vol. 21 , nº 3-4. p. 419-433. DOI:10.2980/21-(3-4)-3715 <https://doi.org/10.2980/21-%283-4%29-3715>.
doi:10.2980/21-(3-4)-3715
op_doi https://doi.org/10.2980/21-(3-4)-3715
container_title Écoscience
container_volume 21
container_issue 3-4
container_start_page 419
op_container_end_page 433
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