TY - JOUR
T1 - Modeling the location of the forest line in northeast European Russia with remotely sensed vegetation and GIS-based climate and terrain data
AU - Virtanen, Tarmo
AU - Mikkola, Kari
AU - Nikula, Ari
AU - Christensen, Jens H.
AU - Mazhitova, Galina G.
AU - Oberman, Naum G.
AU - Kuhry, Peter
PY - 2004/8/1
Y1 - 2004/8/1
N2 - 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 X 1 km to 25 X 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.
AB - 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 X 1 km to 25 X 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.
UR - http://www.scopus.com/inward/record.url?scp=12444319421&partnerID=8YFLogxK
M3 - Journal article
AN - SCOPUS:12444319421
VL - 36
SP - 314
EP - 322
JO - Arctic, Antarctic, and Alpine Research
JF - Arctic, Antarctic, and Alpine Research
SN - 1523-0430
IS - 3
ER -