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PREDICTING AND UNDERSTANDING BIOGEOGRAPHIC RANGES FROM OCCURRENCE RECORDS AND CORRELATED ENVIRONMENTAL DATA J. M. Guinottte, J. D. Bartley, A. Iqbal, D. G. Fautin, R. W. Buddemeier University of Kansas: Kansas Geological Survey, Department of Ecology and Evolutionary Biology, and Biodiversity Research Center
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PREDICTING AND UNDERSTANDING BIOGEOGRAPHIC RANGES, HABITATS, AND NICHES FROM OCCURRENCE RECORDS AND CORRELATED ENVIRONMENTAL DATA National Science Foundation grants OCE 00-03970 (NOPP), DEB95-21819 (PEET), DEB 99-78106 (PEET) Land-Ocean Interactions in the Coastal Zone (LOICZ, an IGBP project)
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but occurrence records are sparse – typical of marine organisms of little or no commercial value
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Macrodactyla doreensis – sparse distributional data Point occurrences and generalized range maps data convey very different impressions and types of information. How should the range polygon be drawn?
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Occurrence records use symbols of a different color for each synonymous name -- can be used for investigating whether a synonymy is justified. MAPPINGSPECIESOCCURRENCES SUMMARIZES KNOWN RANGE OF SPECIES
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To infer where else animals of this species may occur
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ASSOCIATESORGANISMOCCURRENCESWITHENVIRONMENTALCONDITIONS ANALYSED STATISTICALLY
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maximum and minimum SST and minimum depth SUMMARIZES DISTRIBUTION OF HABITAT MATCHING THAT OF PLACES WHERE SPECIES OCCURS
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maximum and minimum SST, maximum and minimum salinity ALLOWS INVESTIGATION OF ENVIRONMENTAL PARAMETERS THAT CONTROL SPECIES DISTRIBUTION
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to predict where else the species might occur
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to predict where else the species might NATURALLY occur POTENTIAL NATURAL RANGE
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to predict where the species might UNnaturally occur POTENTIAL INVASIVE RANGE
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“Is there are any way of assessing such predictions??” The lionfish, Pterois volitans (from FishBase)
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using max and min SST and min depth
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only environmental correlates of occurrences NICHE Is not just habitat – it includes biotic attributes that control occurrence In addition to distribution of anemones and environmental parameters, anemonefishes (FishBase)
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CLOSER TO TRULY ILLUSTRATING THE DISTRIBUTION OF THE NICHE Fishes predict anemones = 95% Anemones predict fishes = 100%
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= NICHE ?
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RANGES, HABITATS, AND NICHES
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