Many species show substantial variation in organ size and shape that could be produced by
regional differences in scaling.
Not exact matches
Recent
regional scale analyses using satellite - based vegetation indices such as the Normalized
Difference Vegetation Index have found extensive areas of dryland greening
in areas of the Mediterranean, the Sahel, the Middle East and northern China, as well as greening trends
in Mongolia and South America, according to the paper.
Douglas Robinson, an ecologist at Oregon State University, Corvallis, calls the approach «probably the wave of the future» for determining geographic connections on a
regional scale, but he thinks that more detail will be needed to make a
difference in conservation.
«If you look at the nutrient distributions
in the oceans on a global
scale, you can see
regional differences,» says Dr. Browning.
A study on the
regional differences in sea - level rise: A
scaling approach to project
regional sea level rise and its uncertainties
The reasons for the
regional differences in historical
scaled - interannual and future 30 - year trend regressions are unclear, since as noted above the model's interannual NAO variability does not appear to be affected by climate change between 1850 and 2045.
These
regional differences in amplitude notwithstanding, the large -
scale features of the SLP, SAT and P regression maps show a strong degree of resemblance between the version based on historical
scaled - interannual statistics and that based on future 30 - year trends.
Using results from the HadCM2 four - member ensemble experiments, Giorgi and Francisco (2000), for example, suggest that uncertainty
in future
regional climate change associated with internal climate variability at sub-continental
scales (107 km2), is generally smaller than the uncertainty associated with inter-model or forcing
differences.
Overall, the pattern -
scaled temperature changes
in the high - end and non-high-end models are similar over much of the globe, but there are some
regional differences, indicating that the
regional response of the high - end and non-high-end models to climate change is not completely identical.
Recent analyses using the CCM3 climate model (Govindasamy and Caldeira, 2000) suggest, however, that a 1.7 % decrease
in solar luminosity would closely counterbalance a doubling of CO2 at the
regional and seasonal
scale (
in addition to that at the global and annual
scale) despite
differences in radiative forcing patterns.»