Observations on the bioclimate of some taiga mammals. ❋ Unknown (2009)
Significance of spring breakup to the bioclimate of the Mackenzie River Delta. ❋ Unknown (2009)
Climatically, the ecoregion is characterized by a sharp altitudinal bioclimate gradient, from the warm and dry lower elevations (average annual temperature of about 14-17º Celsius [C]) to the cold and humid higher elevations (average annual temperature of about 9-13º C). ❋ Unknown (2008)
This ecoregion forms the northern part of the subarid bioclimate zone of Cornet. ❋ Unknown (2008)
In the summits and north-facing slopes of the highest mountain massifs (i.e. Mt. Cintu, 2,710 meters [m] and Mt. Rotondu, 2,625 m) a "Eurosiberian" alpine bioclimate type appears, characterized by rigorous winters, frequent snow and the absence of a summer drought period. ❋ Unknown (2008)
Pinus laricio dominates on south-facing slopes with a more Mediterranean cold and humid bioclimate type, while silver fir (Abies alba) and beech (Fagus sylvatica) predominate in the "sub-alpine-like" bioclimate of the north-facing slopes. ❋ Unknown (2008)
Humbert's (1955) southern vegetation domain was used to delineate the Spiny Thicket ecoregion, with the remaining extent of Cornet's subarid bioclimate defined as the Succulent Woodland. ❋ Unknown (2008)
Climatically, the ecoregion is characterized by a perhumid sub-alpine bioclimate (over 1,800 millimeters (mm) of annual rainfall; average annual temperature of about 3-5ºC). ❋ Unknown (2008)
Cork oak forests mainly grow at a humid and warm bioclimate type, with annual rainfall ranges of 600-800 mm and with no frost appearance, from the shore to about 1,500 meters (m). ❋ Unknown (2008)
Justification of Ecoregion Delineation The line work for this ecoregion follows Cornet's montane bioclimate boundaries. ❋ Unknown (2008)
Pinus laricio dominates on south-facing slopes with a more Mediterranean cold and xeric bioclimate type. ❋ Unknown (2007)
Intensification of summer droughts and increase in the average annual temperature could strongly modify the bioclimate conditions necessary for survival of these forests. ❋ Unknown (2007)
Climatically, the ecoregion is characterized by a sharp altitudinal bioclimate gradient, from the warm and semiarid low plains of the central part of the island (average annual temperature of about 17-19 ºC; total rainfall of less than 300 millimeters [mm]) to the cold and humid higher elevations (average annual temperature of about 9-13 ºC; total rainfall up to 1100 mm). ❋ Unknown (2007)
“Here we analyzed a time series of 21-yr satellite data for three bioclimate subzones in northern Alaska and confirmed a long-term trend of increase in vegetation greenness for the Alaskan tundra that has been detected globally for the northern latitudes.” ❋ Unknown (2005)
The Climate Change Indicator combines two independent strands of work; bioclimate envelope-modeling, which predicts species range through climatic variables, and observed populations trends in European birds, derived from the Pan-European Common Bird Monitoring Scheme.
We used the climatic envelope models, described above, and annual values of the bioclimate variables to calculate the probability of occurrence of each species in each of the years 1980-2002 for every 50-km UTM square in the study area. ❋ Unknown (2009)
An assumption of our use of CLIM is that bioclimate variables have already changed since 1980 in the direction of the GCM projections of change between 1961-1990 and 2070-2099. ❋ Unknown (2009)
The model describes each species 'distribution in relation to 1961-1990 means of three bioclimate variables; the annual sum of positive differences between the daily mean temperature and 5°C (in °C days); mean temperature of the coldest month (°C); and an estimate of the annual ratio of actual to potential evapotranspiration ❋ Unknown (2009)
The Climate Change Indicator combines two independent strands of work; bioclimate envelope-modelling and observed populations trends in European birds, derived from the Pan-European Common Bird Monitoring Scheme. ❋ Unknown (2009)
Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful? ❋ Unknown (2009)
