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Record #179790:
- #179790
Main publication details
MARC recordModeling the location of the forest line in northeast European Russia with remotely sensed vegetation and GIS-based climate and terrain data / Tarmo Virtanen, and six others.
| Title: | Modeling the location of the forest line in northeast European Russia with remotely sensed vegetation and GIS-based climate and terrain data / Tarmo Virtanen, and six others. |
| Author(s): | Virtanen, Tarmo. |
| Date: | 2004. |
| In: | Arctic and Alpine Research. (2004.), Vol. 36(3) (2004) |
| Abstract: | Analyses structure of forest line at landscape level in lowlands of Usa river basin using GIS-based data sets. Constructs logistic regression models to predict forest location explained by July mean temperature, ground temperature (permafrost), annual minimum temperature and Topographic Wetness Index (soil moisture conditions). Suggests that anomalously high temperature isoline for forest line in North-East European Russia is due to inability of local ecotypes of spruce to grow on permafrost terrain. Models indicate that with climate warming of 3°C by end of 21st century, temperature would not limit forest advance in study area. |
| Notes: | Arctic and Alpine Research. Vol. 36(3) :314-322 (2004). |
| Keywords: | 634.0 -- Forests and forestry. 634.0.181.65 -- Trees, environmental influence on. 551.583 -- Climatic changes. 519.673 -- Modelling. 551.5 -- Meteorology. 551.524 -- Air temperature. 551.345 -- Permafrost. Cryopedology. F -- Biological sciences. (*501) -- Russia (Federation). (*531.6) -- Respublika Komi. |
| SPRI record no.: | 179790 |
LDR 01792naa#a2200000#a#4500 001 SPRI-179790 005 20231202052323.0 007 ta 008 231202s2004####xx#ab#|##|###|0||#0|eng#d 035 ## ‡aSPRI-179790 040 ## ‡aUkCU-P‡beng‡eaacr 100 1# ‡aVirtanen, Tarmo. 245 10 ‡aModeling the location of the forest line in northeast European Russia with remotely sensed vegetation and GIS-based climate and terrain data /‡cTarmo Virtanen, and six others. 260 ## ‡a[S.l.] :‡b[s.n.],‡c2004. 300 ## ‡ap. 314-322 :‡bill., diags., maps. 500 ## ‡aArctic and Alpine Research. Vol. 36(3) :314-322 (2004). 520 3# ‡aAnalyses structure of forest line at landscape level in lowlands of Usa river basin using GIS-based data sets. Constructs logistic regression models to predict forest location explained by July mean temperature, ground temperature (permafrost), annual minimum temperature and Topographic Wetness Index (soil moisture conditions). Suggests that anomalously high temperature isoline for forest line in North-East European Russia is due to inability of local ecotypes of spruce to grow on permafrost terrain. Models indicate that with climate warming of 3°C by end of 21st century, temperature would not limit forest advance in study area. 650 07 ‡a634.0 -- Forests and forestry.‡2udc 650 07 ‡a634.0.181.65 -- Trees, environmental influence on.‡2udc 650 07 ‡a551.583 -- Climatic changes.‡2udc 650 07 ‡a519.673 -- Modelling.‡2udc 650 07 ‡a551.5 -- Meteorology.‡2udc 650 07 ‡a551.524 -- Air temperature.‡2udc 650 07 ‡a551.345 -- Permafrost. Cryopedology.‡2udc 650 07 ‡aF -- Biological sciences.‡2local 651 #7 ‡a(*501) -- Russia (Federation).‡2udc 651 #7 ‡a(*531.6) -- Respublika Komi.‡2udc 773 0# ‡7nnas ‡tArctic and Alpine Research. ‡gVol. 36(3) (2004) ‡wSPRI-45285 916 ## ‡a2007/11/14 -- IW 917 ## ‡aUnenhanced record from Muscat, imported 2019 948 3# ‡a20231202 ‡bIW