predicting and understanding biogeographic ranges from occurrence records and correlated...
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PREDICTING AND PREDICTING AND UNDERSTANDING UNDERSTANDING
BIOGEOGRAPHIC RANGES BIOGEOGRAPHIC RANGES FROM OCCURRENCE FROM OCCURRENCE
RECORDS AND RECORDS AND CORRELATED CORRELATED
ENVIRONMENTAL DATAENVIRONMENTAL DATA
J. M. Guinottte, J. D. Bartley, A. Iqbal, J. M. Guinottte, J. D. Bartley, A. Iqbal,
D. G. Fautin, R. W. BuddemeierD. G. Fautin, R. W. Buddemeier
University of Kansas: Kansas Geological Survey, Department of Ecology and Evolutionary Biology, and Biodiversity Research Center
PREDICTING AND PREDICTING AND UNDERSTANDING UNDERSTANDING
BIOGEOGRAPHIC RANGES, BIOGEOGRAPHIC RANGES, HABITATS, AND NICHES HABITATS, AND NICHES
FROM OCCURRENCE FROM OCCURRENCE RECORDS AND RECORDS AND CORRELATED CORRELATED
ENVIRONMENTAL DATAENVIRONMENTAL 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)
but occurrence records are sparse – typical of marine organisms of little or no commercial value
Macrodactyla doreensis – sparse distributional data
Point occurrences Point occurrences and generalized and generalized range maps data range maps data convey very convey very different different impressions and impressions and types of types of information. How information. How should the range should the range polygon be polygon be drawn?drawn?
Occurrence Occurrence records use records use symbols of a symbols of a different color different color for each for each synonymous synonymous name -- can name -- can be used for be used for investigating investigating whether a whether a synonymy is synonymy is justified.justified.
MAPPING MAPPING SPECIESSPECIESOCCURRENCESOCCURRENCES
SUMMARIZES SUMMARIZES KNOWNKNOWN RANGERANGE OF SPECIES OF SPECIES
To infer where else animals of this species may occur
ASSOCIATES ASSOCIATES ORGANISMORGANISMOCCURRENCES OCCURRENCES WITHWITHENVIRONMENTAL ENVIRONMENTAL CONDITIONSCONDITIONS
ANALYSED STATISTICALLYANALYSED STATISTICALLY
maximum and minimum SST and minimum depthmaximum and minimum SST and minimum depth
SUMMARIZES SUMMARIZES DISTRIBUTION OF HABITATDISTRIBUTION OF HABITAT MATCHING THAT OF PLACES WHERE SPECIES OCCURSMATCHING THAT OF PLACES WHERE SPECIES OCCURS
maximum and minimum SST, maximum and minimum SST, maximum and minimum salinitymaximum and minimum salinity
ALLOWS INVESTIGATION OF ALLOWS INVESTIGATION OF ENVIRONMENTAL ENVIRONMENTAL PARAMETERSPARAMETERS THAT CONTROL SPECIES DISTRIBUTION THAT CONTROL SPECIES DISTRIBUTION
to predict where else the species might occur
to predict where else the species might NATURALLY occur
POTENTIAL NATURAL RANGE
to predict where the species might UNnaturally occur
POTENTIAL INVASIVE RANGE
““Is there are any way of assessing such predictions??”Is there are any way of assessing such predictions??”
The lionfish, Pterois volitans (from FishBase)
using max and min SST and min depth
only environmental correlates of occurrences
NICHENICHEIs not just habitat –Is not just habitat –it includes bioticit includes bioticattributes that attributes that control occurrencecontrol occurrence
In addition to distribution of anemones and environmental parameters, anemonefishes (FishBase)
CLOSER TO TRULY ILLUSTRATING CLOSER TO TRULY ILLUSTRATING THE DISTRIBUTION OF THE NICHETHE DISTRIBUTION OF THE NICHE
Fishes predict anemones = 95%Anemones predict fishes = 100%
= NICHE= NICHE
= NICHE= NICHE??
RANGES, HABITATS, AND RANGES, HABITATS, AND NICHESNICHES