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Dataset was used in a scientifically peer-reviewed publication
Description:
This dataset represents actual and predicted suitable habitat for
Robinia pseudoacacia (black locust, species code 901) in the Eastern
United States as measured by importance value based on data obtained
from the Forest Inventory and Analysis (FIA) project, current climate
conditions, and future climate projections. This summary unit of this
dataset is a 20 by 20 kilometer cell. The actual importance value (IV)
was calculated based on the number of stems and basal area of a given
tree species relative to other tree species on a plot using about
100,000 FIA plots (representing nearly 3 million tree records) in the 37
states within the United States east of the 100th meridian. These
importance values were summarized to 20 by 20 kilometer grid cells.
Current estimates of IV were obtained from regression tree and
regression tree ensemble (using Random Forests) classifiers using 38
environmental variables including measures of current climate
conditions. Predictions based on future climate were obtained from
applying these classifiers to the environmental variables including
projections of future climate conditions derived from the downscaled
output of selected general circulation models (HADCM3, PCM, and GFDL)
for both low (B1) and high (A1F1) emissions scenarios. The
reliability of the predictions for this species is Low. For more
information about this dataset, please see the Climate Change Tree Atlas
web page: http://www.nrs.fs.fed.us/atlas/tree/tree_atlas.html
Data Provided By:
USDA Forest Service
Content date:
2006
Citation:
Schwartz, M. W., L. R. Iverson, A. M. Prasad, S. N. Matthews, O, and R.
J. Connor. 2006. Predicting extinctions as a result of climate change.
Ecology 87(7):1611-1615.
This dataset is provided in the public domain without warranty of any kind by the US Forest Service. Users are free to use this dataset but must cite authors correctly without in any way suggesting that the US Forest Service or authors endorse use of this dataset. Because this dataset is part of an ongoing effort, users are highly encouraged to contact the authors directly for updated versions. Users of this dataset are requested to inform the authors of their intended use of the data or provide citations to publications or reports in which the data are used; this information helps the authors quantify the usefulness of the data and ensure that the data continue to be made available and maintained.
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The Conservation Biology Institute (CBI) provides scientific expertise to support the conservation and recovery of biological diversity in its natural state through applied research, education, planning, and community service.