Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data
GIS-based data sets were used to analyze the structure of the forest line at the landscape level in the lowlands of the Usa River Basin, in northeast European Russia. Vegetation zones in the area range from taiga in the south to forest-tundra and tundra in the north. We constructed logistic regressi...
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Institute of Arctic and Alpine Research (INSTAAR), University of Colorado
2005
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ftunivhelsihelda:oai:helda.helsinki.fi:1975/269 2023-08-20T04:02:37+02:00 Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data Virtanen, T. Mikkola, K. Nikula, A. Christensen, J.H. Mazhitova, G. Oberman, G. Kuhry, P. Department of Biological and Environmental Sciences Bio- ja ympäristötieteiden laitos Bio- och miljövetenskaper, Institutionen för 2005-03-23T06:38:57Z application/pdf 464919 bytes http://hdl.handle.net/1975/269 eng eng Institute of Arctic and Alpine Research (INSTAAR), University of Colorado 1523-0430 Virtanen, T. et al. 2004. Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data. Arctic, Antarctic, and Alpine Research 36(3): 314–322. B571 http://hdl.handle.net/1975/269 Article 2005 ftunivhelsihelda 2023-07-28T06:07:32Z GIS-based data sets were used to analyze the structure of the forest line at the landscape level in the lowlands of the Usa River Basin, in northeast European Russia. Vegetation zones in the area range from taiga in the south to forest-tundra and tundra in the north. We constructed logistic regression models to predict forest location at spatial scales varying from 1 × 1 km to 25 × 25 km grid cells. Forest location was explained by July mean temperature, ground temperature (permafrost), yearly minimum temperature, and a Topographic Wetness Index (soil moisture conditions). According to the models, the forest line follows the +13.9°C mean July temperature isoline, whereas in other parts of the Arctic it usually is located between +10 to +12°C. It is hypothesized that the anomalously high temperature isoline for the forest line in Northeast European Russia is due to the inability of local ecotypes of spruce to grow on permafrost terrain. Observed patterns depend on spatial scale, as the relative significance of the explanatory variables varies between models implemented at different scales. Developed models indicate that with climate warming of 3°C by the end of the 21st century temperature would not limit forest advance anywhere in our study area. Article in Journal/Newspaper Antarctic and Alpine Research Arctic Arctic permafrost taiga Tundra Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto Arctic |
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Open Polar |
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Helsingfors Universitet: HELDA – Helsingin yliopiston digitaalinen arkisto |
op_collection_id |
ftunivhelsihelda |
language |
English |
description |
GIS-based data sets were used to analyze the structure of the forest line at the landscape level in the lowlands of the Usa River Basin, in northeast European Russia. Vegetation zones in the area range from taiga in the south to forest-tundra and tundra in the north. We constructed logistic regression models to predict forest location at spatial scales varying from 1 × 1 km to 25 × 25 km grid cells. Forest location was explained by July mean temperature, ground temperature (permafrost), yearly minimum temperature, and a Topographic Wetness Index (soil moisture conditions). According to the models, the forest line follows the +13.9°C mean July temperature isoline, whereas in other parts of the Arctic it usually is located between +10 to +12°C. It is hypothesized that the anomalously high temperature isoline for the forest line in Northeast European Russia is due to the inability of local ecotypes of spruce to grow on permafrost terrain. Observed patterns depend on spatial scale, as the relative significance of the explanatory variables varies between models implemented at different scales. Developed models indicate that with climate warming of 3°C by the end of the 21st century temperature would not limit forest advance anywhere in our study area. |
author2 |
Department of Biological and Environmental Sciences Bio- ja ympäristötieteiden laitos Bio- och miljövetenskaper, Institutionen för |
format |
Article in Journal/Newspaper |
author |
Virtanen, T. Mikkola, K. Nikula, A. Christensen, J.H. Mazhitova, G. Oberman, G. Kuhry, P. |
spellingShingle |
Virtanen, T. Mikkola, K. Nikula, A. Christensen, J.H. Mazhitova, G. Oberman, G. Kuhry, P. Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
author_facet |
Virtanen, T. Mikkola, K. Nikula, A. Christensen, J.H. Mazhitova, G. Oberman, G. Kuhry, P. |
author_sort |
Virtanen, T. |
title |
Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
title_short |
Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
title_full |
Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
title_fullStr |
Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
title_full_unstemmed |
Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data |
title_sort |
modeling the location of the forest line in northeast european russia with remotely sensed vegetation and gis-based climate and terrain data |
publisher |
Institute of Arctic and Alpine Research (INSTAAR), University of Colorado |
publishDate |
2005 |
url |
http://hdl.handle.net/1975/269 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Antarctic and Alpine Research Arctic Arctic permafrost taiga Tundra |
genre_facet |
Antarctic and Alpine Research Arctic Arctic permafrost taiga Tundra |
op_relation |
1523-0430 Virtanen, T. et al. 2004. Modeling the Location of the Forest Line in Northeast European Russia with Remotely Sensed Vegetation and GIS-Based Climate and Terrain Data. Arctic, Antarctic, and Alpine Research 36(3): 314–322. B571 http://hdl.handle.net/1975/269 |
_version_ |
1774713158581092352 |