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modelagem
Bibliografia

Referências bibliográficas sobre modelagem e suas aplicações:

Anderson, R. P., M. Laverde, and A. T. Peterson. 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.

Beard, K. H., N. Hengartner, and D. K. Skelly. in press. The effectiveness of predicting breeding bird distributions using probabilistic models. Conservation Biology.

Benning, T. L., D. LaPointe, C. T. Atkinson, and P. M. Vitousek. 2002. Interations of climate change with biological invasions and land use in the Hawaiian Islands: Modeling the fate of endemic birds using a geographic information system. Proceedings of the National Academy of Sciences USA 99:14246-14249.

Bojorquez-Tapia, L. A., I. Azuara, E. Ezcurra, and O. A. Flores V. 1995. Identifying conservation priorities in Mexico through geographic information systems and modeling. Ecological Applications 5:215-231.

Box, E. O. 1981. Macroclimate and plant forms: an introduction to predictive modeling in phytogeography. Junk, The Hague, Netherlands.

Carpenter, G., A. N. Gillison, and J. Winter. 1993. DOMAIN: A flexible modeling procedure for mapping potential distributions of animals and plants. Biodiversity and Conservation 2:667-680.

Chen, G., and A. T. Peterson. 2000. A new technique for predicting distributions of terrestrial vertebrates using inferential modeling. Zoological Research 21:231-237.

Costa, J., A. T. Peterson, and C. B. Beard. 2002. Ecological niche modeling and differentiation of populations of Triatoma brasiliensis Neiva, 1911, the most important Chagas disease vector in northeastern Brazil (Hemipter, Reduviidae, Triatominae). American Journal of Tropical Medicine & Hygeine 67:516-520.

Davey, S. M., and D. R. B. Stockwell. 1991. Incorporating wildlife habitat into an AI environment: Concepts, theory, and practicalities. AI Applications 5.

Egbert, S. L., A. T. Peterson, V. Sanchez-Cordero, and K. P. Price. 1998. Modeling conservation priorities in Veracruz, Mexico. Pages 141-150 in S. Morain, editor. GIS in natural resource management: Balancing the technical-political equation. High Mountain Press, Santa Fe, New Mexico.

Goodchild, M. F. 1994. Integrating GIS and remote sensing for vegetation analysis and modeling: Methodological issues. Journal of Vegetation Science 5:615-626.

Grinnell, J. 1924. Geography and evolution. ECOLOGY 5:225-229.

Holt, R. D., and R. Gomulkiewicz. 1996. The evolution of species\' niches: A population dynamic perspective. Pages 25-50 in H. G. Othmer, F. R. Adler, M. A. Lewis, and J. C. Dallon, editors. Case Studies in Mathematical Modeling: Ecology, Physiology and Cell Biology. Prentice-Hall, Saddle River, N.J.

Hutchinson, G. E. 1957. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology 22:415-427.

Jones, P. G., and A. Gladkov. 1999. FloraMap: A computer tool for predicting the distribution of plants and other organisms in the wild. Centro Internacional de Agricultura Tropical, Cali, Colombia.

Koch, I., M. F. d. Siqueira, and A. T. Peterson. Submitted. Characterizing geographic distributions of tropical woody plant species via ecological niche modeling. Diversity and Distributions.

Liu, J., J. B. Dunning, Jr., and H. R. Pulliam. 1995. Potential effects of a forest management plan on Bachman\'s Sparrows (Aimophila aestivalis): Linking a spatially explicit model with GIS. Conservation Biology 9:62-75.

McNyset, K. M., E. O. Wiley, and A. T. Peterson. Accepted pending revision. Use of ecological niche modeling to predict distributions of North American freshwater fish species. Transactions of the American Fisheries Society.

Miller, R. I., editor. 1994. Mapping the diversity of nature. Chapman & Hall, London.

Mladenoff, D. J., T. A. Sickley, R. G. Haight, and A. P. Wydeven. 1995. A regional landscape analysis and prediction of favorable gray wolf habitat in the northern Great Lakes region. Conservation Biology 9:279-294.

Nix, H. A. 1986. A biogeographic analysis of Australian elapid snakes. Pages 4-15 in R. Longmore, editor. Atlas of elapid snakes of Australia. Australian Government Publishing Service, Canberra.

Peterson, A. T. 2001. Predicting species\' geographic distributions based on ecological niche modeling. Condor 103:599-605.

Peterson, A. T., and C. R. Robins. In press. When endangered meets invasive: Ecological niche modeling predicts double trouble for spotted owls, Strix occidentalis. Conservation Biology.

Peterson, A. T., and D. A. Vieglais. 2001. Predicting species invasions using ecological niche modeling. BioScience 51:363-371.

Peterson, A. T., and M. A. Ortega-Huerta. Submitted. Modeling ecological niches and predicting geographic distributions: A test of five methods. Ecological Modelling.

Peterson, A. T., D. R. B. Stockwell, and D. A. Kluza. 2002. Distributional prediction based on ecological niche modeling of primary occurrence data. Pages 617-623 in J. M. Scott, P. J. Heglund, and M. L. Morrison, editors. Predicting Species Occurrences: Issues of Scale and Accuracy. Island Press, Washington, D.C.

Peterson, A. T., I. Koch, R. Scachetti-Pereira, and A. G. Navarro-Sigüenza. Submitted. Detecting identification problems in biodiversity data sets based on ecological niche modeling. Diversity and Distributions.

Peterson, A. T., V. Sanchez-Cordero, C. B. Beard, and J. M. Ramsey. 2002. Ecologic niche modeling and potential reservoirs for Chagas disease, Mexico. Emerging Infectious Diseases 8:662-667.

Price, J. 2000. Modeling the potential impacts of climate change on the summer distributions of Massachusetts passerines. Bird Observer 28:224-230.

Price, J. 2000. Modeling the potential impacts of climate change on the summer distributions of Massachusetts passerines. Bird Observer 28:224-230.

Raines, G. L., G. F. Bonham-Carter, and L. Kemp. 2000. Predictive probabilistic modeling using ArcView GIS. ArcUser April-June:45-48.

Root, K. V. 1998. Evaluating the effects of habitat quality, connectivity, and catastrophes on a threatened species. Ecological Applications 8:854-865.

Sánchez-Cordero, V., and E. Martínez-Meyer. 2000. Museum specimen data predict crop damage by tropical rodents. Proceedings of the National Academy of Sciences USA 97:7074-7077.

Stockwell, D. R. B. 1997. Generic predictive systems: An empirical evaluation using the Learning Base System (LBS). Expert Systems with Applications 12:301-310.

Stockwell, D. R. B. 1999. Genetic algorithms II. Pages 123-144 in A. H. Fielding, editor. Machine learning methods for ecological applications. Kluwer Academic Publishers, Boston.

Stockwell, D. R. B., and A. T. Peterson. 2002. Effects of sample size on accuracy of species distribution models. Ecological Modelling 148:1-13.

Stockwell, D. R. B., and D. P. Peters. 1999. The GARP modelling system: Problems and solutions to automated spatial prediction. International Journal of Geographic INformation Systems 13:143-158.

Stockwell, D. R. B., and I. R. Noble. 1992. Induction of sets of rules from animal distribution data: A robust and informative method of analysis. Mathematics and Computers in Simulation 33:385-390.

Tian, H., C. Hall, and Y. Qi. 1998. Modeling primary productivity of the terrestrial biosphere in changing environments: Toward a dynamic biosphere model. Critical Reviews in Plant Sciences 15:541-557.

Tucker, K., S. P. Rushton, R. A. Sanderson, E. B. Martin, and J. Blaiklock. 1997. Modeling bird distributions--a combined GIS and Bayesian rule-based approach. Landscape Ecology 12:77-93.

Walker, P. A., and K. D. Cocks. 1991. HABITAT: A procedure for modelling a disjoint environmental envelope for a plant or animal species. Global Ecology and Biogeography Letters 1:108-118.

Wiley, E. O., K. McNyset, A. T. Peterson, C. R. Robins, and A. M. Stewart. Accepted pending revision. Niche modeling and geographic range predictions in the marine environment using a machine-learning algorithm. Oceanography.

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