UCSB IBM ERP Related
Publications Abstracts
Hierarchical
Representation of Species Distributions for Biological Survey and
Monitoring
David M. Stoms,
Frank W. Davis, and Allan D. Hollander
Spatial and temporal
axes of domain, grain, and sampling intensity can serve as a framework
to discuss opportunities for integrating spatial biodiversity data
into richer, more complex representations of species distributions.
This conceptual framework also highlights many of the problems in
integrating data of different spatial, temporal and thematic properties.
A recent analysis of the distribution of the orange-throated whiptail
lizard in southern California is reviewed as an example of integration
of datasets. Comparison of representations resulting from different
data sources makes biases evident, highlights areas of inadequate
sampling, and can lead to new inferences about habitat relationships
through convergence of evidence. Improvements in the technology needed
to facilitate better integration of distribution models with GIS in
the areas of data entry, linkages to tools outside traditional GIS
functionality, and new GIS tools to integrate existing datasets are
discussed.
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