SELECTED PAPERS ON THE USE AND APPLICATION OF ELEMENT
DISTRIBUTION MODELING
Prepared October 2004; updated May 2006
G. Beauvais, Wyoming Natural Diversity Database (University of Wyoming)
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-This is not a complete list, but rather a sample of recent papers detailing the use and application of EDM.
All papers are from primary technical journals and are arranged chronologically in each category.
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Each paper is listed only once, but some have relevance to multiple categories.
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Two recent journal issues present several papers on EDM application - individual papers from these issues
are not listed below, and readers are encouraged to explore these issues in their entirety:
2002 Biodiversity and Conservation 11(12)
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and
2004 Journal of Applied Ecology 41(2)
A recent book discusses EDM applications rather thoroughly - individual chapters from this book are not
listed below, and readers are encouraged to explore this book in its entirety:
J.M. Scott, P.J. Heglund, M.L. Morrison, J.B. Haufler, M.G. Raphael, W.A. Wall, and F.B. Samson
(editors). 2002. Predicting species occurrences: issues of accuracy and scale. Island Press. Covelo,
California, USA.
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TERRESTRIAL PLANT EDM :
Shao, G. and P.N. Halpin. 1995. Climatic controls of eastern North American coastal tree and shrub distributions.
Journal of Biogeography 22:1083-1089.
Franklin, J. 1998. Predicting the distribution of shrub species in southern California from climate and terrain
derived variables. Journal of Vegetation Science 9:733-748.
Guisan, A., J.P. Theurillat, and F. Kienast. 1998. Predicting the potential distribution of plant species in an alpine
environment. Journal of Vegetation Science 9:65-74.
Heegarrd, E. and H.H. Hangelbroek. 1999. The distribution of Ulota crispa at a local scale in relation to both
dispersal- and habitat related factors. Lindbergia 24:65-74.
Leathwick, J.R. 2001. New Zealand’s potential forest pattern as predicted from current species-environment
relationships. New Zealand Journal of Botany 39:447-464.
AQUATIC PLANT EDM :
Lehmann, A., J.M. Jaquet, and J.B. Lachavanne. 1997. A GIS approach of aquatic plant spatial heterogeneity in
relation to sediment and depth gradient, Lake Geneva, Switzerland. Aquatic Botany 58:347-361.
Lehmann, A.C.T. 1998. GIS modeling of submerged macrophyte distribution using Generalized Additive Models.
Plant Ecology 139:113-124.
TERRESTRIAL ANIMAL EDM :
Augustin, N.H., M.A. Muggelstone, and S.T. Buckland. 1996. An autologistic model for the spatial distribution of
wildlife. Journal of Applied Ecology 33:339-347.
Selected papers on the use and application of EDM, May 2006
Page 1 of 4
Mladenoff, D.J., T.A. Sickley, and A.P. Wydeven. 1999. Predicting gray wolf landscape recolonization: logistic
regression models vs. new field data. Ecological Applications 9:37-44.
Franco, A.M.A., J.C. Brito, and J. Almeida. 2000. Modelling habitat selection of Common Cranes Grus grus
wintering in Portugal using multiple logistic regression. Ibis 142:351-358.
Osborne, P.E., J.C. Alonso, and R.G. Bryant. 2001. Modelling landscape-scale habitat-use using GIS and remote
sensing: a case study with great bustards. Journal of Applied Ecology 38:458-471.
Texeira, J., N. Ferrand, and J.W. Arntzen. 2001. Biogeography of the golden-striped salamander, Chioglossa
lusitanica: a field survey and spatial modelling approach. Ecography 24:618-624.
Woolf, A., C.K. Nielsen, T. Weber, and T.J. Gibbs-Kieninger. 2002. Statewide modeling of bobcat, Lynx rufus,
habitat in Illinois, USA. Biological Conservation 104:191-198.
FISH EDM :
Mastorillo, S., S. Lek, F. Dauba, and A. Belaud. 1997. The use of artificial neural network to predict the presence of
small-bodied fish in a river. Freshwater Biology 38:237-246.
Olden, J.D., D.A. Jackson, and P.R. Peres-Neto. 2002. Predictive models of fish distributions: a note on proper
validation and chance predictions. Transactions of the American Fisheries Society 131:329–336.
McKenna, J.E. Jr. 2005. Application of neural networks to prediction of fish diversity and salmonid production in
the Lake Ontario basin. Transactions of the American Fisheries Society 134:28–43.
EDM FOR EXOTIC SPECIES AND PATHOGENS :
Higgins, S.L., D.M. Richardson, R.M. Cowling, and T.H. Trinder-Smith. 1999. Predicting the landscape-scale
distribution of alien plants and their threat to plant diversity. Conservation Biology 13:303-313.
Peterson, A.T. and D.A. Vieglais. 2001. Predicting species invasions using ecological niche modeling: new
approaches from bioinformatics attack a pressing problem. BioScience 51:363–371.
Peterson, A.T., V. Sanchez-Cordero, C.B. Beard (et al.). 2002. Ecological niche modeling and potential reservoirs
for Chagas disease, Mexico. Emerging Infectious Diseases 8: 662–667.
Peterson, A.T. 2003. Predicting the geography of species invasions via ecological niche modeling. Quarterly
Review of Biology. 78:419–433.
Drake, J.M. and J.M. Bossenbroek. 2004. The potential distribution of zebra mussels in the United States.
Bioscience 54:931-941.
EDM FOR PLANT COMMUNITIES, VEGETATION TYPES, PLANT FUNCTIONAL TYPES :
Brzeziecki, B., F. Kienast, and O. Wildi. 1993. Modeling potential impacts of climate change on the spatial
distribution of zonal forest communities in Switzerland. Journal of Vegetation Science 6:257-258.
Brown, D.G. 1994. Predicting vegetation types at treeline using topography and biophysical disturbance variables.
Journal of Vegetation Science 5:641-656.
Franklin, J. 1995. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to
environmental gradients. Progress in Physical Geography 19:474-499.
Box, E.O. 1996. Plant functional types and climate at the global scale. Journal of Vegetation Science 7:309-320.
Selected papers on the use and application of EDM, May 2006
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Zimmermann, N.E. and F. Kienast. 1999. Predictive mapping of alpine grasslands in Switzerland: species versus
community approach. Journal of Vegetation Science 10:469-482.
Franklin, J. 2002. Enhancing a regional vegetation map with predictive models of dominant plant species in
chaparral. Applied Vegetation Science 5:135-146.
EDM FOR BIOMES AND SIMILARLY-DEFINED ENVIRONMENTS :
Monserud, R.A. and R. Leemans. 1992. Comparing global vegetation maps with the Kappa statistic. Ecological
Modelling 62:275-293.
Prentice, I.C., W. Cramer, S.P. Harrison, R. Leemans, R.A. Monseraud, and A.M. Solomon. 1992. A global biome
model based on plant physiology and dominance, soil properties and climate. Journal of Biogeography 19:117-134.
Tchebakova, N.M., R.A. Monseraud, and D.I. Nazimova. 1994. A Siberian vegetation model based on climatic
parameters. Canadian Journal of Forestry Research 24:1597-1607.
Neilson, R.P. 1995. A model for predicting continental-scale vegetation distribution and water balance. Ecological
Applications 5:362-385.
PREDICTING BIOLOGICAL DIVERSITY WITH EDM :
Owen, J.G. 1989. Patterns of herpetofaunal species richness: relation to temperature, precipitation and variance in
elevation. Jounral of Biogeography 16:141-150.
Heikkinen, R.K.K. 1996. Predicting patterns of vascular plant species richness with composite variables: a mesoscale study in Finnish Lapland. Vegetatio 126:151-165.
Fraser, R.H. 1998. Vertebrate species richness at the meso-scale: relative roles of energy and heterogeneity. Global
Ecology and Biogeography Letters 7:215-220.
Wohlgemuth, T. 1998. Modeling floristic species richness on a regional scale: a case study in Switzerland.
Biodiversity Conservation 7:159-177.
Ferrier, S., M. Drielsma, G. Manion, and G. Watson. 2002. Extended statistical approaches to modelling spatial
pattern in biodiversity in north-east New South Wales. II. Community level modelling. Biodiversity Conservation
11:2309–2338.
Oertli, B., D.A. Joye, E. Castella, R. Juge, D. Cambin, and J. Lachavanne. 2002. Does size matter? The relationship
between pond area and biodiversity. Biological Conservation 104:59-70.
IMPROVING/ PRIORITIZING FIELD INVENTORIES WITH EDM :
Moisen, G.G. and T.C. Edwards, Jr. 1999. Use of generalized linear models and digital data in a forest inventory of
Utah. Journal of Agricultural, Biological and Environmental Statistics 4:372-390.
Raxworthy, C.J., E. Martinez-Meyer, N. Horning, R.A. Nussbaum (et al.). 2003. Predicting distributions of known
and unknown reptile species in Madagascar. Nature 426: 837–841.
Engler, R., A. Guisan, and L. Rechsteiner. 2004. An improved approach for predicting the distribution of rare and
endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology 41:263–274.
INVESTIGATIONS OF CLIMATE CHANGE WITH EDM :
Kienast, F., B. Brzeziecki, and O. Wildli. 1996. Long-term adaptation potential of Central European mountain
forests to climate change: a GIS-assisted sensitivity assessment. Forest Ecology and Management 80:133-153.
Selected papers on the use and application of EDM, May 2006
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Kienast, F., O. Wildi, and B. Brzeziecki. 1998. Potential impacts of climate change on species richness in mountain
forests - an ecological risk-assessment. Biological Conservation 83:291-305.
Guisan, A. and J.P. Theurillat. 2000. Equilibrium modeling of alpine plant distribution and climate change: how far
can we go? Phytocoenologia, Special Issue 2000.
Peterson, A.T., M.A. Ortega-Huerta, J. Bartley, V. Sanchez-Cordero, J. Soberon, and R.W. Buddemeier. 2002.
Future projections for Mexican faunas under global climate change scenarios. Nature 416:626-629.
Pearson, R.G. and T.P. Dawson. 2003. Predicting the impacts of climate change on the distribution of species: are
bioclimate envelope models really useful? Global Ecology and Biogeography 12:361-372.
Thomas, C.D., A. Cameron, R.E. Green, M. Bakkenes, L.J. Beaumont, Y.C. Collingham, (et al.). 2004. Extinction
risk from climate change. Nature 427:145–147.
Thuiller, W. 2004. Patterns and uncertainties of species range shifts under climate change. Global Change Biology
10:2020–2027.
TESTING BIOGEGRAPHIC HYPOTHESES WITH EDM :
Mourell, C. and E. Ezcurra. 1996. Species richness of Argentine cacti: a test of biogeographic hypotheses. Journal
of Vegetation Science 7:667-680.
Leathwick, J.R. 1998. Are New Zealand’s Nothofagus species in equilibrium with their environment? Journal of
Vegetation Science 9:719-732.
Anderson, R.P., A.T. Peterson, and M. Gomez-Laverde. 2002. Using niche-based GIS modeling to test geographic
predictions of competitive exclusion and competitive release in South American pocket mice. Oikos 93: 3–16.
USING EDM TO DETERMINE CONSERVATION PRIORITIES :
Araujo, M.B. and P.H. Williams. 2000. Selecting areas for species persistence using occurrence data. Biological
Conservation 96:331-345.
Margules, C.R. and R.L. Pressey. 2000. Systematic conservation planning. Nature 405:243-253.
Polasky, S. and A.R. Solow. 2001. The value of information in reserve site selection. Biodiversity and Conservation
10:1051-1058.
Ferrier, S. 2002. Mapping spatial pattern in biodiversity for regional conservation planning: where to from here?
Systems Biology 51:331–363.
Williams, P.H. and M.B. Araujo. 2002. Apples, oranges, and persistence: integrating multiple factors into
biodiversity conservation with consistency. Environmental Modeling and Assessment 7:139-151.
Loiselle, B.A, C.A. Howell, C.H. Graham, J.M. Goerck (et al.). 2003. Avoiding pitfalls of using species distribution
models in conservation planning. Conservation Biology 17:1591-1600.
Araujo, M.B., M. Cabeza, W. Thuiller, L. Hannah, and P.H. Williams. 2004. Would climate change drive species
out of reserves? An assessment of existing reserve-selection methods. Global Change Biology 10:1618–1626.
Maes, D., D. Bauwens, L. De Bruyn, A. Anselin, (et al.). 2005. Species richness coincidence: conservation
strategies based on predictive modelling. Biodiversity and Conservation 14:1345–1364.
Selected papers on the use and application of EDM, May 2006
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