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BIODIVERSITY OF REEFS: BIODIVERSITY OF REEFS: INFERRING FROM SPARSE INFERRING FROM SPARSE
DATADATA
Daphne G. FautinEcology & Evolutionary Biology
Natural History MuseumUniversity of Kansas
Photo by Mark Baine
to infer occurrence of members of a species to infer occurrence of members of a species in places where sampling has not been done in places where sampling has not been done at times in the past and futureat times in the past and future
inferences are based on inferences are based on knowledge of the habitat of the species knowledge of the habitat of the species determining where else those habitat parameters occurdetermining where else those habitat parameters occur
precision of such an inference depends on precision of such an inference depends on accurate and precise knowledge of the species’ habitataccurate and precise knowledge of the species’ habitatdetailed spatially-explicit environmental datadetailed spatially-explicit environmental datacomprehensive taxonomic and nomenclatural informationcomprehensive taxonomic and nomenclatural information
such inferences can be important insuch inferences can be important inunderstanding biogeographic consequences of climate changeunderstanding biogeographic consequences of climate changerecognizing invasive speciesrecognizing invasive speciespredicting where invasive species might persistpredicting where invasive species might persist
With gratitude for grants from NSF (DEB 99-78106, OCE 00-03970, EF-0531779, NBII, the Alfred P. Sloan Foundation; and to individuals too numerous to mention other than Adorian Ardelean, Jeremy Bartley, Asif Iqbal, and Suman Kansakar
Distribution of the sea anemone Heteractis aurora
Fautin and Allen 1992
OBIS: www.iobis.org
Abstract; over-represents
Concrete; under-represents
Guinotte, J. M., J. D. Bartley, A. Iqbal, D. G. Fautin, & R. W.
Buddemeier. 2006. Modeling habitat distribution from
organism occurrences and environmental data: a
case study using anemonefishes and their
sea anemone hosts Marine Ecology Progress
Series 316: 269-283.
[open access http://www.int-res.com/abstracts/meps/v316]
ASSOCIATES ORGANISM OCCURRENCES WITH ENVIRONMENTAL CONDITIONS
Calculates where habitat is similar and therefore where animals of this species could occur
Displays valuesof 52 environmentalparameters(mean, sd)
Based on 75 published occurrence records (red spots)And the environmental parameters
mean depth, mean and minimum surface seawater temperature, maximum and minimum monthly salinity
Distribution of habitat suitable for Heteractis aurora
POTENTIAL NATURAL RANGE – where to do field work
to infer occurrence of members of a species to infer occurrence of members of a species in places where sampling has not been donein places where sampling has not been done
to infer where the species might UNnaturally occur
predicting where species might invadepredicting where species might invade
allows investigation of ENVIRONMENTAL PARAMETERS that control species distribution
temperature and salinity the same – no depth
precision of such an inference depends on accurate precision of such an inference depends on accurate and precise knowledge of the species’ habitatand precise knowledge of the species’ habitat
can be used to infer importance of habitat can be used to infer importance of habitat parameters – and possible future scenariosparameters – and possible future scenarios
using symbols of a different color for
each synonymous name. Can be used
for investigating whether a synonymy
is justified. And occurrences of homonymous
species are not mapped.
MAP RECORDSOCCURRENCES OF THAT SPECIES
For the species Heteractis aurora, regardless of nameused in the record
For records of Heteractis aurora that used the name Radianthus koseirensis