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HyperNiche Publication References

• Agresti, A. 1990. Categorical Data Analysis. Wiley, New York.
• Agterberg, F. P. 1984. Trend surface analysis. Pages 147-171 in G. L. Gaile, & C. J. Willmott (eds.), Spatial Statistics and Models. Reide, Dordrecht, The Netherlands.
• Antoine, M. E. & B. McCune. 2004. Contrasting fundamental and realized ecological niches with epiphytic lichen transplants in an old-growth Pseudotsuga forest. Bryologist 107:163-173.
• Austin, M. P. 1987. Models for the analysis of species response to environmental gradients. Vegetatio 69:35-45.
• Austin, M. P. 2002. Spatial prediction of species distribution: an interface between ecological theory and statistical modeling. Ecological Modeling 157:101-118.
• Austin, M. P., R. B. Cunningham & P. M. Flemming. 1984. New approaches to direct gradient analysis using environmental scalars and statistical curve-fitting procedures. Vegetatio 55:11-27.
• Austin, M. P., A. O. Nicholls & C. R. Margules. 1990. Measurement of the realized qualitative niche: environmental niches of five Eucalyptus species. Ecological Monographs 60:161-177.
• Austin, M. P., A. O. Nicholls, M. D. Doherty & J. A. Meyers. 1994. Determining species response functions to an environmental gradient by means of a beta-function. Journal of Vegetation Science 5:215-228.
• Berryman, S. & B. McCune. 2006. Estimating epiphytic macrolichen biomass from topography, stand structure and lichen community data. Journal of Vegetation Science 17:157-170.
• Binder, M.B. & Ellis, C.J. 2008. Conservation of the rare British lichen Vulpicida pinastri: climate change, habitat loss and strategies for mitigation. Lichenologist 40: 63-79.
• Bio, A. M. F., R. Alkemade, & A. Brarendregt. 1998. Determining alternative models for vegetation response analysis: a non-parametric approach. Journal of Vegetation Science 9:5-16.
• Bowman, A. W. and A. Azzalini. 1997. Applied smoothing techniques for data analysis. Clarendon Press, Oxford. 193 pp.
• Boyce, M. S., P. R. Vernier, S. E. Nielsen & F. K. A. Schmiegelow. 2002. Evaluating resource selection functions. Ecological Modelling 157:281-300.
• Cade, B. S. & B. R. Noon. 2003. A gentle introduction to quantile regression for ecologists. Frontiers in Ecology and the Environment 1:412-420.
• Casazza, G., E. Zappa, M. G. Mariotti, F. Médail & L. Minuto. 2007. Ecological and historical factors affecting distribution pattern and richness of endemic plant species: the case of the Maritime and Ligurian Alps hotspot. Diversity and Distributions 14: 47 – 58.
• Cleveland, W. S. 1979. Robust locally weighted regression and smoothing scatterplots. Journal of the American Statistical Association 74:829-836.
• Cristofolini, F., P. Giordani, E. Gottardini, &Paolo Modenesi. 2008. The response of epiphytic lichens to air pollution and subsets of ecological predictors: A case study from the Italian Prealps. Environmental Pollution 151: 308-317.
• Curtis, J. T. 1959. The Vegetation of Wisconsin. University of Wisconsin Press, Madison.
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• Ellis, C.J. & Coppins, B.J. 2007. Changing climate and historic-woodland structure interact to control species diversity of the ‘Lobarion’ epiphyte community in Scotland. Journal of Vegetation Science 18: 725-734.
• Ellis, C. J., B. J. Coppins & T. P. Dawson. 2007a. Predicted response of the lichen epiphyte Lecanora populicola to climate change scenarios in a clean-air region of Northern Britain. Biological Conservation 135: 396-404.
• Ellis, C. J., B. J. Coppins, T. P. Dawson, & M. R.D. Seaward. 2007b. Response of British lichens to climate change scenarios: Trends and uncertainties in the projected impact for contrasting biogeographic groups. Biological Conservation 140:217-235
• Erjnaes, R. 2000. Can we trust gradients extracted by detrended correspondence analysis? Journal of Vegetation Science 11:573-584.
• Eubank, R. L. 1999. Nonparametric Regression and Spline Smoothing. 2nd ed. Marcel Dekker, Inc., New York. 338 pp.
• Fan, J. 1993. Local linear regression smoothers and their minimax efficiency. Annals of Statistics 21:196-216.
• Fan, J. & I. Gijbels. 1996. Local Polynomial Modelling and Its Applications. Chapman & Hall, London. 341 pp.
• Fenton, N. J. & Y. Bergeron. 2008. Does time or habitat make old-growth forests species rich? Bryophyte richness in boreal Picea mariana forests. Biological Conservation 141: 1389-1399.
• Fielding, A. H. and Bell, J. F. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24:38-49.
• Fleishman, E., R. MacNally, & J. P Fay. 2003. Validation tests of predictive models of butterfly occurrence based on environmental variables. Conservation Biology 17:806-817.
• Flitcroft, R. L. 2008. Regions to streams : spatial and temporal variation in stream occupancy patterns of coho salmon (Oncorhynchus kisutch) on the Oregon coast. PhD Dissertation, Oregon State University, 206 pp.
• Fox, J. 2002. Nonparametric Regression. Appendix to an R and S-PLUS Companion to Applied Regression. 15 pages.
• Franklin, J. 1995. Predictive vegetation mapping: geographic modelling of biospatial patterns in relation to environmental gradients. Prog. Phys. Geogr. 19:474-499.
• 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.
• Friedman, J.H. 1991. Multivariate adaptive regression splines (with discussion). Ann. Stat. 19:1-141.
• Friedman, J. H. and C. B. Roosen. 1995. An introduction to multivariate adaptive regression splines. Statistical Methods in Medical Research 4:197-217.
• Gignac, L. D., D. H. Vitt, S. C. Zoltai, & S. E. Bayley. 1991a. Bryophyte response surfaces along climatic, chemical, and physical gradients in peatlands of western Canada. Nova Hedwigia 53:27-71.
• Gignac, L. D., D. H. Vitt & S. E. Bayley. 1991b. Bryophyte response surfaces along ecological and climatic gradients. Vegetatio 93:29-45.
• Giordani, P. 2007. Is the diversity of epiphytic lichens a reliable indicator of air pollution? A case study from Italy Environmental Pollution 146: 317-323.
• Giordani, P. & G. Incerti. 2008. The influence of climate on the distribution of lichens: a case study in a borderline area (Liguria, NW Italy). Plant Ecology 195: 257-272.
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• Heegaard, E. 2002a. The outer border and central border for species-environmental relationships estimated by non-parametric generalized additive models. Ecological Modelling 157:131-139.
• Heegaard, E. 2002b. A model of alpine species distribution in relation to snowmelt time and altitude. Journal of Vegetation Science 13:493-504.
• Hirzel, A. H., J. Hausser, D. Chessel, and N. Perrin. 2002. Ecological-niche factor analysis: how to compute habitat suitability maps without absence data. Ecology 83:2027-2036.
• Hosten, P. E., H. Whitridge, D. Schuster, and J. Alexander. 2007. Livestock on the Cascade-Siskiyou National Monument: A Summary of Stocking Rates, Utilization, and Management. U.S. Department of the Interior, Bureau of Land Management, Medford District.
• Huisman, J., H. Olff & L. F. M. Fresco. 1993. A hierarchical set of models for species response analysis. Journal of Vegetation Science 4:37-46.
• Huntley, B., P. J. Bartlein, & I. C. Prentice. 1989. Climatic control of the distribution and abundance of beech (Fagus L.) in Europe and North America. Journal of Biogeography 16:551-560.
• Huntley, B., P. M. Berry, W. Cramer, & A. P. McDonald. 1995. Modelling present and potential future ranges of some European higher plants using climate response surfaces. Journal of Biogeography 22:967-1001.
• Huston, M. A. 2002. Critical issues for improving predictions. Pages 7-21 in J. M. Scott, P. J. Heglund, M. L. Morrison, J. B. Haufler, M. G. Raphael, W. A. Wall, & F. B. Samson, eds., Predicting Species Occurrences: Issues of Accuracy and Scale. Island Press, Washington.
• Hutchinson, G. E. 1957. Concluding remarks. Cold Spring Harbor Symposia on Quantitative Biology 22:415-427.
• Hutchinson, G. E. 1965. The niche: an abstractly inhabited hypervolume. Pages 26-78 in The Ecological Theatre and the Evolutionary Play. Yale University Press, New Haven, Conn.
• Jovan, S. 2003. Distribution and habitat models of epiphytic Physconia in north-central California. Bulletin of the California Lichen Society 10:29-35.
• Jovan, S. & B. McCune. 2005. Air-quality bioindication in the greater Central Valley of California, with epiphytic macrolichen communities. Ecological Applications 15:1712-1726.
• Jovan, S. & B. McCune. 2006. Using epiphytic macrolichen communities for biomonitoring ammonia in forests of the greater Sierra Nevada, California. Water, Air and Soil Pollution 170:69-93.
• Kaiser, M. S., P. L. Speckman, & J. R. Jones. 1994. Statistical models for limiting nutrient relations in inland waters. Journal of the American Statistical Association 89: 410-423.
• Kass, R. E. and Raftery, A. E. 1995. Bayes factors. Journal of the American Statistical Association 90:773-795.
• Kohler, G. R. 2007. Predators associated with hemlock woolly adelgid (Hemiptera: Adelgidae) infested western hemlock in the Pacific Northwest. M.S. Thesis, Oregon State University. 135 pp.
• Leathwick, J. R. 1995. Climatic relationships of some New Zealand forest tree species. Journal of Vegetation Science 6:237-248.
• Loucks, O. L. 1962. Ordinating forest communities by means of environmental scalars and phytosociological indices. Ecological Monographs 32:137-166.
• Martinez-Taberner, A., M. Ruiz-Perez, I. Mestre, & V. Forteza. 1992. Prediction of potential submerged vegetation in a silted coastal marsh, Albufera of Majorca, Balearic Islands. Journal of Environmental Management 35:1-12.
• McCune, B. 2006. Nonparametric habitat models with automatic interactions. Journal of Vegetation Science 17: 819-830.
• McCune, B. 2007. Improved estimates of incident radiation and heat load using nonparametric regression against topographic variables. Journal of Vegetation Science 18: 751-754.
• McCune, B., S. D. Berryman, J. H. Cissel, and A. I. Gitelman. 2003. Use of a smoother to forecast occurrence of epiphytic lichens under alternative forest management plans. Ecological Applications 13:1110-1123.
• McCune, B. and J. B. Grace. 2002. Analysis of Ecological Communities. MjM Software, Gleneden Beach, Oregon, USA (www.pcord.com) 304 pages.
• McCune, B. and Mefford. 1999. Multivariate analysis on the PC-ORD system. Version 4. MjM Software, Gleneden Beach, Oregon, U.S.A.
• McCune, B. and M. J. Mefford. 2004. HyperNiche. Multiplicative Habitat Modeling. Version 1. MjM Software, Gleneden Beach, Oregon, U.S.A.
• Miller, S. W., D. Wooster, & J. Li. 2007. Resistance and resilience of macroinvertebrates to irrigation water withdrawals. Freshwater Biology 52: 2494-2510.
• Minuto, L., F. Grassi & G. Casazza. 2006. Ecogeographic and genetic evaluation of endemic species in the Maritime Alps: the case of Moehringia lebrunii and M. sedoides (Caryophyllaceae). Plant Biosystems 140: 146-155.
• Morrison, M. L. & L. S. Hall. 2002. Standard terminology: toward a common language to advance ecological understanding and application. Pages 43-52 in J. M. Scott, P. J. Heglund, M. L. Morrison, J. B. Haufler, M. G. Raphael, W. A. Wall, & F. B. Samson, eds., Predicting Species Occurrences: Issues of Accuracy and Scale. Island Press, Washington.
• Oksanen, J., E. Läära, P. Huttunen & J. Meriläinen. 1988. Estimation of pH optima and tolerances of diatoms in lake sediments by the methods of weighted averaging, least squares and maximum likelihood, and their use for the prediction of lake acidity. Journal of Paleolimnology 1:39-49.
• Oksanen, J. 1997. Why the beta-function cannot be used to estimate skewness of species responses. Journal of Vegetation Science 8:147-152.
• Oreskes, N., K. Shrader-Frechette, & K. Belitz. 1994. Verification, validation, and confirmation of numerical models in the earth sciences. Science 263:641-646.
• Peters, R. H. 1991. A Critique for Ecology. Cambridge University Press, Cambridge.
• Peterson, E. B. 2000. Analysis and Prediction of Patterns in Lichen Communities over the Western Oregon Landscape. Ph.D. Dissertation, Oregon State University, Corvallis.
• Peterson, A. T. 2001. Predicting species’ geographic distributions based on ecological niche modeling. Condor 103:599-605.
• Peterson, A. T. & C. R. Robins. 2003. Using ecological-niche modeling to predict barred owl invasions with implications for spotted owl conservation. Conservation Biology 17:1161-1165.
• Peterson, A. T., D. R. B. Stockwell, & 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, & M. L. Morrison, editors. Predicting species occurrences: issues of scale and accuracy. Island Press, Washington, D.C.
• Ponadera, K. C. & M. G. Potapova. 2007. Diatoms from the genus Achnanthidium in flowing waters of the Appalachian Mountains (North America): Ecology, distribution and taxonomic notes. Limnologica. Ecology and Management of Inland Waters 37: 227-241.
• Ponzetti, J., B. McCune & D. A. Pyke. 2007. Biotic soil crusts in relation to topography, cheatgrass and fire in the Columbia Basin, Washington. Bryologist 110: 706-722.
• Potapova, M. G. & D. M. Wintel. 2006. Use of nonparametric multiplicative regression for modeling diatom habitat: a case study of three Geissleria species from North America. Advances In Phycological Studies, Festschrift in Honour of Prof. Dobrina Temniskova-Topalova, pp. 319-332.
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• Scachetti-Pereira, R. 2002. Desktop GARP. University of Kansas Natural History Museum, Lawrence, Kansas. http://www.lifemapper.org/desktopgarp/
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