PREDICTING AND UNDERSTANDING BIOGEOGRAPHIC RANGES FROM OCCURRENCE RECORDS AND CORRELATED ENVIRONMENTAL DATA - PowerPoint PPT Presentation

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PREDICTING AND UNDERSTANDING BIOGEOGRAPHIC RANGES FROM OCCURRENCE RECORDS AND CORRELATED ENVIRONMENTAL DATA

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The lionfish, Pterois volitans (from FishBase) using max and min SST and min depth only environmental correlates of occurrences NICHE Is not just habitat ... – PowerPoint PPT presentation

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Title: PREDICTING AND UNDERSTANDING BIOGEOGRAPHIC RANGES FROM OCCURRENCE RECORDS AND CORRELATED ENVIRONMENTAL DATA


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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?
9
Occurrence records use symbols of a different
color for each synonymous name -- can be used for
investigating whether a synonymy is justified.
MAPPING SPECIES OCCURRENCES
SUMMARIZES KNOWN RANGE OF SPECIES
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To infer where else animals of this species may
occur
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ASSOCIATES ORGANISM OCCURRENCES
WITH ENVIRONMENTAL CONDITIONS
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??
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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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