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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Online Access: | https://espace.inrs.ca/id/eprint/3662/ https://doi.org/10.2980/21-(3-4)-3715 |
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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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1766328266373726208 |