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General GIS Journal Articles |
Spatial Modeling |
Bojorquez-Tapia, L.A., Balvanera, P., and A.D. Cuaron. 1994.
Environmental auditing: Biological inventories and computer
databases: their role in environmental assessments.
Environmental Management 18(5): 775-785.
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Predicting Species Occurrences: Issues of Scale and Accuracy,
(ed. J. M. Scott, P. J. Heglund & M. Morrison) Island Press,
Covelo, CA.
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Fearnside, P.M. and J. Ferraz. 1994. A conservation gap analysis
of Brazil's Amazonian vegetation. Conservation Biology 9(5):
1134-1147.
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Austin, M. P. & Meyers, J. A. (1996) Current approaches to
modelling the environmental niche of eucalypts: implications
for management of forest biodiversity. Forest Ecology and
Management 85, 95-106.
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Funk, V.A., Fernanda, Z., and N. Nasir. 1999. Testing the use
of specimen data and GIS in biodiversity exploration and
conservation decision making in Guyana. Biological Conservation
8: 727-759.
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Bio, A. M. F. (2000) Does Vegetation Suit Our Models? Data and
Model Assumptions and the Assessment of Species Distribution in
Space, PhD thesis, published., Utrecht University, Netherlands.
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Jones, P., Beebe, S., Tohme, J ., and N. Galwey. 1997. The use
of geographical information systems in biodiversity exploration
and conservation. Biodiversity and Conservation 6: 947-958.
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Bio, A. M. F., Alkemande, R. & Barendregt, A. (1998) Determining
alternative models for vegetation response analysis - a
non-parametric approach. Journal of Vegetation Science 9, 5-16.
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Kiester, A.R., Scott, J.M., Csuti, B., Noss, R.F., Butterfield, B.
Sahr, K., and D. White. 1996. Conservation Prioritization Using
Gap Data. Conservation Biology 10(5): 1332-1342.
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Buckland, S. T., Burnham, K. P. & Augustin, N. H. (1997) Model
selection: an integral part of inference. Biometrics 53,
603-618.
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Kress, W.J., Heyer, P., Acevedo, P., Coddington, J., Cole, D.,
Erwin, T.L., Meggers, B.J., Pogue, M., Thorington, R.W., Vari,
R.P., Weitzman, M.J., and S.H. Weitzman. 1998. Amazonian
biodiversity: assessing conservation priorities with taxonomic
data. Biodiversity and Conservation 7: 1577-1587.
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Burgman, M. A., Breininger, D. R., Duncan, B. W. & Ferson, S.
(2001) Setting reliability bounds on Habitat Suitability
Indices. Ecological Applications 11, 70-78.
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Lechmere-Oertel, R.G., and R.M. Cowling. 1999. Predicting the
distribution of fynbos and succulent karoo biome boundaries
and plant communities using generalised linerar models and
geographic information systems. South African Journal of Botany
65(1): 89-96.
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Byrt, E., Bishop, J. & Carlin, J. B. (1993) Bias, prevalence
and kappa. Journal of Clinical Epidemiology 46, 423-429.
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Prasad, S.N., Vijayan, L., Balachandran, S., Ramachandran,
V.S., and C.P.A. Verghese. 1998. Conservation planning for
the Western Ghats of Kerala: A GIS approach for location of
biodiversity hot spots. Current Science 75(3): 211-219.
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Carpenter, G., Gillison, A. N. & Winter, J. (1993) DOMAIN: a
flexible modelling procedure for mapping potential distributions
of plants and animals. Biodiversity and Conservation 2,
667-680.
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Rhoads, A.F., and L. Thompson. 1992. Integrating herbarium data
into a geographic information system: requirements for spatial
analysis. Taxon 41: 43-49.
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Ferrier, S. 2002. Mapping spatial pattern in biodiversity for
regional conservation planning: where to from here? Syst. Biol.
51:331-363.
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Sanchez-Cordero, V. and E. Martinez-Meyer. 2000. Museum specimen
data predict crop damage by tropical rodents. PNAS 97 (13):
7074-7077.
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Ferrier, S. & Pearce, J. (1996) An Evaluation of the Accuracy of
Habitat Models for Vertebrates and Vascular Plants. Project No.
FBU NP6, Consultancy report prepared by New South Wales National
Parks and Wildlife Service for the Australian Nature Conservation
Agency; Canberra.
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Shultz, L.M. 2000. Using geographical information systems in
floristic studies. SIDA, Bot. Misc. 18: 73-81.
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Ferrier, S., Watson, G., Pearce, J. & Drielsma, M. (2002) Extended
statistical approaches to modelling spatial pattern in biodiversity:
the north-east New South Wales experience. I. Species-level modelling.
Biodiversity and Conservation 11: 2275-230.
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Soveron, J., Llorente, J., and H. Benitez. 1996. An international
view of national biological surveys. 0. 83: 562-573.
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Ferrier, S., Drielsma, M, Manion, G., & Watson, G. (2002) Extended
statistical approaches to modelling spatial pattern in biodiversity:
the north-east New South Wales experience. II. Community-level
modelling. Biodiversity and Conservation 11: 2309-2338.
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Skov, F. & F. Borchsenius. 1997. Predicting plant species
distribution patterns using simple climatic parameters: a case
study of Ecuadorian palms. Ecography 20:347-355.
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Fielding, A. H. & Bell, J. F. (1997) A review of methods for the
assessment of prediction errors in conservation presence/absence
models. Environmental Conservation 24, 38-49. Note: Seminal
paper.
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Skov, F. & F. Borchsenius. 1999. Conservation status of palms
(Arecaceae) in ecuador. Acta Bot. Venez. 22(1): 221-236.
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Funk, V.A. and K.S. Richardson. 2002. Systematic data in
biodiversity studies: use it or lose it. Syst. Biol. 51:303-316.
Note: Great for systematics perspective.
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Skov, F. 2000. Potential plant distribution mapping based on
climate similarity. Taxon 49:503-515.
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Guisan, A. & Zimmerman, N. E. (2000) Predictive habitat
distribution models in ecology. Ecological Modelling 135,
147-186.Note: Model Review Paper!
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Ved, D.K., Barve, V., Noorunnisa Begum, S., and R. Latha. 1998.
Eco-distribution mapping of the priority medicinal plants of
southern India. Current Science 75(3): 205-208.
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Hastie, T. & Tibshirani, R. (1990) Generalized Additive Models,
edn. Chapman and Hall, London.
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Books |
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Fotheringham, S. and Rogerson, P. 1995. Spatial Analysis and
GIS. Taylor & Francis.
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Hirzel, A. H. & Guisan, A. (in press) Which is the optimal
strategy for habitat suitability modelling? Ecological
Modelling.
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Goodchiled, M.F., et al. 1996. GIS and Environmental Modelling:
Progress and Research Issues. GIS World Books.
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Hirzel, A. H., Helfer, V. & Metral, F. (2001) Assessing
habitat-suitability models with a virtual species. Ecological
Modelling 145, 111-121.
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Mitchell, A. 1999. The ESRI Guide to GIS Analysis: Vol. 1:
Geographic Patterns & Relationships. Environmental Systems
Research Institute. (Available in GIS lab).
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Hugall, A., Moritz, C., Moussalli, A., and J. Stanisic. 2002.
Reconciling paleodistribution models and comparative
phylogeography in the Wet Tropics rainforest land snail
Gnarosophia bellendenkerensis (Brazier 1875). PNAS.
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ESRI Virtual Campus - Library |
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ESRI's website has a great bibliography section that allows
the user to search for papers that deal with GIS projects.
Most of these papers have been presented at the User
Conferences or at other Conferences and not always published
in scientific journals. Searches are done using keywords,
authors, journals, etc. Examples of subjects tested are:
conservation, climate, herbarium, biodiversity, biogeography.
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Leathwick, J. R. (1995) Climatic relationships of some New
Zealand forest tree species. Journal of Vegetation Science 6,
237-248.
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Bioinformatics |
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Science, 29 September 2000. Vol. 289(5488).
Special Issue: Bioinformatics for Biodiversity
The above link contains all of the links discussed in the
articles.
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Manel, S., Ceri Williams, H. & Ormerod, S. J. (2001) Evaluating
presence-absence models in ecology: the need to account for
prevalence. Journal of Applied Ecology 38, 921-931.
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This issue takes a look at the emerging science of
"biodiversity informatics" -- the efforts under way
to make the vast, decentralized resources of global biodiversity
information available in digital form, and the enormous
challenge of imposing consistency and compatibility among the
scores of searchable databases on the world's biota.
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Moisen, G. G. & Frescino, T. S. (2002) Comparing five modeling
techniques for predicting forest characteristics. Ecological
Modelling 157(2).
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Included articles are: "Diversity Digitized,"
"Taxonomic Revival," "The Quiet Revolution:
Biodiversity Informatics and the Internet," and
"Interoperability of Biodiversity Databases:
Biodiversity Information on Every Desktop."
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Pearce, J. & Ferrier, S. (2000) Evaluating the predictive
performance of habitat models developed using logistic
regression. Ecological Modelling 133, 225-245. Note: Another
good model evaluation paper.
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Pearce, J. L., Cherry, K., Drielsma, M., Ferrier, S. & Whish,
G. (2001) Incorporating expert knowledge and fine-scale
vegetation mapping into statistical modelling of faunal
distribution. Journal of Applied Ecology 38, 412-424.
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Peterson, A.T. 2001. Predicting species' geographic
distributions based on ecological niche modeling. Condor
103:599-605.
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Peterson, A.T.& Vieglais, D.A. 2001. Predicting species
invasions using ecological niche modeling: new approaches
from bioinformatics attack a pressing problem. BioScience
51:363-.
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*Peterson, A.T., Ortega-Muerta, M.A., Bartley, J.,
Sanchez-Cordero, V., Soberon, J., Buddemeier, R.H. &
Stockwell, D.R.B. (2002) Future projections for Mexican
faunas under global climate change scenarios. Nature 416:626-
Note: Shows powerful application of modeling for multiple
scecies.
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Rykiel, E. J. J. (1996) Testing ecological models: the meaning
of validation. Ecological Modelling 90, 229-244.
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Stockwell, D.R.B. & Peterson, A.T. 2002. Effects of sample size
on accuracy of species distribution models. Ecological Modelling
148:1-13.
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Yee, T. W. & Mitchell, N. D. (1991) Generalized additive models
in plant ecology. Journal of Vegetation Science 2, 587-602.
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Zaniewski, A. E., Lehmann, A. & Overton, J. M. (2002) Predicting
species distribution using presence-only data: a case study of
native New Zealand ferns. Ecological Modelling 157(2).
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