Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections

[1] Large variations in the composition, structure, and function of Arctic ecosystems are determined by climatic gradients, especially of growing-season warmth, soil moisture, and snow cover. A unified circumpolar classification recognizing five types of tundra was developed. The geographic distribu...

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Other Authors: The Pennsylvania State University CiteSeerX Archives
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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2756
http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.420.2756 2023-05-15T14:57:08+02:00 Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2756 http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2756 http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf interactions 1615 Global Change Biogeochemical processes (48 text ftciteseerx 2016-01-08T03:58:57Z [1] Large variations in the composition, structure, and function of Arctic ecosystems are determined by climatic gradients, especially of growing-season warmth, soil moisture, and snow cover. A unified circumpolar classification recognizing five types of tundra was developed. The geographic distributions of vegetation types north of 55°N, including the position of the forest limit and the distributions of the tundra types, could be predicted from climatology using a small set of plant functional types embedded in the biogeochemistry-biogeography model BIOME4. Several palaeoclimate simulations for the last glacial maximum (LGM) and mid-Holocene were used to explore the possibility of simulating past vegetation patterns, which are independently known based on pollen data. The broad outlines of observed changes in vegetation were captured. LGM simulations showed the major reduction of forest, the great extension of graminoid and forb tundra, and the restriction of low- and high-shrub tundra (although not all models produced sufficiently dry conditions to mimic the full observed change). Mid-Holocene simulations reproduced the contrast between northward forest extension in western and central Siberia and stability of the forest limit in Beringia. Projection of the effect of a Text Arctic Climate change Tundra Beringia Siberia Unknown Arctic
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic interactions
1615 Global Change
Biogeochemical processes (48
spellingShingle interactions
1615 Global Change
Biogeochemical processes (48
Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
topic_facet interactions
1615 Global Change
Biogeochemical processes (48
description [1] Large variations in the composition, structure, and function of Arctic ecosystems are determined by climatic gradients, especially of growing-season warmth, soil moisture, and snow cover. A unified circumpolar classification recognizing five types of tundra was developed. The geographic distributions of vegetation types north of 55°N, including the position of the forest limit and the distributions of the tundra types, could be predicted from climatology using a small set of plant functional types embedded in the biogeochemistry-biogeography model BIOME4. Several palaeoclimate simulations for the last glacial maximum (LGM) and mid-Holocene were used to explore the possibility of simulating past vegetation patterns, which are independently known based on pollen data. The broad outlines of observed changes in vegetation were captured. LGM simulations showed the major reduction of forest, the great extension of graminoid and forb tundra, and the restriction of low- and high-shrub tundra (although not all models produced sufficiently dry conditions to mimic the full observed change). Mid-Holocene simulations reproduced the contrast between northward forest extension in western and central Siberia and stability of the forest limit in Beringia. Projection of the effect of a
author2 The Pennsylvania State University CiteSeerX Archives
format Text
title Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
title_short Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
title_full Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
title_fullStr Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
title_full_unstemmed Climate change and Arctic ecosystems: 2. Modeling, paleodata-model comparisons, and future projections
title_sort climate change and arctic ecosystems: 2. modeling, paleodata-model comparisons, and future projections
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2756
http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Tundra
Beringia
Siberia
genre_facet Arctic
Climate change
Tundra
Beringia
Siberia
op_source http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf
op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.2756
http://www.lter.uaf.edu/pdf/909_kaplan_bigelow.pdf
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