SciELO - Scientific Electronic Library Online

SciELO - Scientific Electronic Library Online

Article References

TOGNELLI, MARCELO F et al. An evaluation of methods for modelling distribution of Patagonian insects. Rev. chil. hist. nat. [online]. 2009, vol.82, n.3, pp. 347-360. ISSN 0716-078X.  http://dx.doi.org/10.4067/S0716-078X2009000300003.

    ALLOUCHE O, A TSOAR & R KADMON (2006) Assessing the accuracy of species distribution models: Prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology 43: 1223-1232. [ Links ]

    ANDERSON RP, D LEW & AT PETERSON (2003) Evaluating predictive models of species' distributions: Criteria for selecting optimal models. Ecological Modelling 162: 211-232. [ Links ]

    ARAÚJO MB, M CABEZA, W THUILLER, L HANNAH & PH WILLIAMS (2004) Would climate change drive species out of reserves? An assessment of existing reserve-selection methods. Global Change Biology 10: 1618-1626. [ Links ]

    ARAÚJO MB, W THUILLER & RG PEARSON (2006) Climate warming and the decline of amphibians and reptiles in Europe. Journal of Biogeography 33: 1712-1728. [ Links ]

    BULLUCK L, E FLEISHMAN, C BETRUS & R BLAIR (2006) Spatial and temporal variations in species occurrence rate affect the accuracy of occurrence models. Global Ecology and Biogeography 15: 27-38. [ Links ]

    CABEZA M, MB ARAÚJO, RJ WILSON, CD THOMAS, MJR COWLEY & A MOILANEN (2004) Combining probabilities of occurrence with spatial reserve design. Journal of Applied Ecology 41: 252-262. [ Links ]

    CHEFAOUI RM, J HORTAL & JM LOBO (2005) Potential distribution modelling, niche characterization and conservation status assessment using GIS tools: A case study of Iberian Copris species. Biological Conservation 122: 327-338. [ Links ]

    COUDUN C, JC GEGOUT, C PIEDALLU & JC RAMEAU (2006) Soil nutritional factors improve models of plant species distribution: An illustration with Acer campestre (L.) in France. Journal of Biogeography 33: 1750-1763. [ Links ]

    DETTMERS R, DA BUEHLER & JG BARLETT (2002) A test and comparison of wildlife-habitat modelling techniques for predicting bird occurrence at a regional scale. In: Scott JM, PJ Heglund, ML Morrison, JB Haufler, MG Raphael, WA Wall & FB Samson (eds) Predicting species occurrences: issues of accuracy and scale: 607-615. Island Press, Washington D.C. [ Links ]

    ELITH J, CH GRAHAM, RP ANDERSON, M DUDIK, S FERRIER et al. (2006) Novel methods improve prediction of species' distributions from occurrence data. Ecography 29:129-151. [ Links ]

    ENGLER R, A GUISAN & 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. [ Links ]

    FERRIER S (2002) Mapping spatial pattern in biodiversity for regional conservation planning: Where to from here? Systematic Biology 51: 331-363. [ Links ]

    FIELDING AH (2002) What are the appropriate characteristics of an accuracy measure? In: Scott JM, PJ Heglund, ML Morrison, JB Haufler, MG Raphael, WA Wall & FB Samson (eds) Predicting species occurrences: issues of accuracy and scale: 271-280. Island Press, Washington D.C. [ Links ]

    FIELDING AH & JF BELL (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation 24: 38-49. [ Links ]

    FITZPATRICK MC, JF WELTZIN, NJ SANDERS & RR DUNN (2006) The biogeography of prediction error: why does the introduced range of the fire ant over-predict its native range? Global Ecology and Biogeography 16: 24-33. [ Links ]

    FRANKLIN J (1998) Predicting the distribution of shrub species in southern California from climate and terrain-derived variables. Journal of Vegetation Science9: 733-748. [ Links ]

    GRAHAM CH, S FERRIER, F HUETTMAN, C MORITZ & AT PETERSON (2004) New developments in museum-based informatics and applications in biodiversity analysis. Trends in Ecology and Evolution 19: 497-503. [ Links ]

    GUISAN A, JP THEURILLAT & F KIENAST (1998) Predicting the potential distribution of plant species in an Alpine environment. Journal of Vegetation Science 9: 65-74. [ Links ]

    GUISAN A & W THUILLER (2005) Predicting species distribution: Offering more than simple habitat models. Ecology Letters 8: 993-1009. [ Links ]

    GUISAN A & NE ZIMMERMANN (2000) Predictive habitat distribution models in ecology. Ecological Modelling 135: 147-186. [ Links ]

    HERNÁNDEZ PA, CH GRAHAM, LL MASTER & DL ALBERT (2006) The effect of sample size and species characteristics on performance of different species distribution modeling methods. Ecography 29: 773-785. [ Links ]

    HIJMANS RJ, SE CAMERON, JL PARRA, PG JONES & A JARVIS (2005) Very high resolution interpolated climate surfaces for global land áreas. International Journal of Climatology 25: 1965-1978. [ Links ]

    JIMÉNEZ-VAL VERDE A & JM LOBO (2006) The ghost of unbalanced species distribution data in geographical model predictions. Diversity and Distributions 12: 521-524. [ Links ]

    JIMÉNEZ-VALVERDE A, JM LOBO & J HORTAL (2008) Not as good as they seem: the importance of concepts in species distribution modelling. Diversity and Distributions 14: 885-890. [ Links ]

    JOHNSON CJ & MP GILLINGHAM (2005) An evaluation of mapped species distribution models used for conservation planning. Environmental Conservation 32: 117-128. [ Links ]

    KOMAR O, BJ O'SHEA, AT PETERSON & AG NAVARRO-SIGÜENZA (2005) Evidence of latitudinal sexual segregation among migratory birds wintering in México. Auk 122: 938-948. [ Links ]

    LIU C, PM BERRY, TP DAWSON & RG PEARSON (2005)   Selecting thresholds of occurrence in the prediction of species distributions. Ecography 28: 385-393. [ Links ]

    LOBO JM (2008) More complex distribution models or more representative data? Biodiversity Informatics 5: 14-19. [ Links ]

    LOBO JM, JR VERDÚ & C NUMA (2006) Environmental and geographical factors affecting the Iberian distribution of flightless Jekelius species (Coleóptera: Geotrupidae). Diversity and Distributions 12: 179-188. [ Links ]

    LOBO JM, A JIMÉNEZ-VALVERDE & R REAL (2008) AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography 17: 145-151. [ Links ]

    LOISELLE BA, CA HOWELL, CH GRAHAM, JM GOERCK, T BROOKS, KG SMITH, & PH WILLIAMS (2003) Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning. Conservation Biology 17: 1591-1600. [ Links ]

    LÓPEZ-CÁRDENAS J, FE GONZÁLEZ BRAVO, PM SALAZAR SCHETTINO, JC GALLAGA SOLORZANO, ER BARBA et al. (2005) Fine-scale predictions of distributions of Chagas disease vectors in the state of Guanajuato, México. Journal of Medical Entomology 42: 1068-1081. [ Links ]

    LUOTO M, RK HEIKKINEN, J POYRY & K SAARINEN (2006) Determinants of the biogeographical distribution of butterflies in boreal regions. Journal of Biogeography 33: 1764-1778. [ Links ]

    MANEL S, JM DÍAS, ST BUCKTON & SJ ORMEROD (1999) Alternative methods for predicting species distribution: An illustration with Himalayan river birds. Journal of Applied Ecology 36: 734-747. [ Links ]

    MANEL S, HC WILLIAMS & SJ ORMEROD (2001) Evaluating presence-absence models in ecology: The need to account for prevalence. Journal of Applied Ecology 38: 921-931. [ Links ]

    MARTÍNEZ-MEYER E & AT PETERSON (2006) Conservatism of ecological niche characteristics in North American plant species over the Pleistocene-to-Recent transition. Journal of Biogeography 33: 1779-1789. [ Links ]

    MEGGS JM, SA MUNKS, R CORKREY & K RICHARDS (2004) Development and evaluation of predictive habitat models to assist the conservation planning of a threatened lucanid beetle, Hoplogonus simsoni, in north-east Tasmania. Biological Conservation 118: 501-511. [ Links ]

    MOISEN GG & TS FRESCINO (2002) Comparing five modelling techniques for predicting forest characteristics. Ecological Modelling 157: 209-225. [ Links ]

    MUÑOZ J & AM FELICÍSIMO (2004) Comparison of statistical methods commonly used in predictive modelling. Journal of Vegetation Science 15: 285-292. [ Links ]

    NEW M, D LISTER, M HULME & I MAKIN (2002) A high-resolution data set of surface climate over global land áreas. Climate Research 21: 1-25. [ Links ]

    PEARCE J & S FERRIER (2000) An evaluation of alternative algorithms for fitting species distribution models using logistic regression. Ecological Modelling 128: 127-147. [ Links ]

    PEARSON RG, W THUILLER, MB ARAÚJO, E MARTÍNEZ-MEYER, L BROTONS et al. (2006) Model-based uncertainty in species range prediction. Journal of Biogeography 33: 1704-1711. [ Links ]

    PEARSON RG, CJ RAXWORTHY, M NAKAMURA & AT PETERSON (2007) Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography 24: 102-117. [ Links ]

    PETERSON AT (2005) Predicting potential geographic distributions of invading species. Current Science 89: 9. [ Links ]

    PETERSON AT, C MARTÍNEZ-CAMPOS, Y NAKAZAWA & E MARTÍNEZ-MEYER (2005) Time-specific ecological niche modeling predicts spatial dynamics of vector insects and human dengue cases. Transactions of the Royal Society of Tropical Medicine and Hygiene 99: 647-655. [ Links ]

    PETERSON AT, J SOBERÓN & V SÁNCHEZ-CORDERO (1999) Conservatism of ecological niches in evolutionary time. Science 285: 1265-1267. [ Links ]

    PHILLIPS SJ, RP ANDERSON & RE SCHAPIRE (2006) Máximum entropy modeling of species geographic distributions. Ecological Modelling 190: 231-259. [ Links ]

    RENCHER, AC (2002) Methods of Multivariate Analysis. Second edition. John Wiley & Sons, New York. 715 pp. [ Links ]

    ROURA-PASCUAL N, AV SUAREZ, C GÓMEZ, P PONS, Y TOUYAMA, AL WILD & AT PETERSON (2004) Geographical potential of Argentine ants (Linepithema humile Mayr) in the face of global climate change. Proceedings of the Royal Society of London B 271: 2527-2534. [ Links ]

    RUPPERT E, RD BARNES & RS FOX (2004) In vertébrate Zoology. A functional evolutionary approach. Seventh Edition. Brooks/Cole Thompson Learning, Belmont, California. 989 pp. [ Links ]

    SÁNCHEZ-CORDERO V, P ILLOLDI-RANGEL, M LINAJE, S SARKAR & AT PETERSON (2005) Deforestation and extant distributions of Mexican endemic mammals. Biological Conservation 126: 465-473. [ Links ]

    SCOTT JM, PJ HEGLUND, ML MORRISON, JB HAUFLER, MG RAPHAEL, WA WALL & FB SAMSON (2002) Predicting species occurrences: issues of accuracy and scale. Island Press, Washington D.C. 868 pp. [ Links ]

    SEGURADO P & MB ARAÚJO (2004) An evaluation of methods for modelling species distributions. Journal of Biogeography 31: 1555-1568. [ Links ]

    SEOANE J, J BUSTAMANTE & R DÍAZ-DELGADO (2005) Effect of expert opinión on the predictive ability of environmental models of bird distribution. Conservation Biology 19: 512-522. [ Links ]

    SKOV F & JC SVENNING (2004) Potential impact of climatic change on the distribution of forest herbs in Europe. Ecography 27: 366-380. [ Links ]

    SPRENT P & NC SMEETON (2001) Applied nonparametric statistical methods. Texts in statistical science. Third Edition. Chapman & Hall/ CRC, Boca Ratón, Florida. 461 pp. [ Links ]

    STOCKWELL DRB & AT PETERSON (2002) Effects of sample size on accuracy of species distribution models. Ecological Modelling 148: 1-13. [ Links ]

    THOMAS CD, A CAMERON, RE OREEN, M BAKKENES, LJ BEAUMONT et al. (2004) Extinction risk from climate change. Nature 427: 145-148. [ Links ]

    THUILLER W (2004) Patterns and uncertainties of species' range shifts under climate change. Global Change Biology 10: 2020-2027. [ Links ]

    THUILLER W, MB ARAÚJO & S LAVOREL (2003) Generalized models vs. classification tree analysis: Predicting spatial distributions of plant species at different scales. Journal of Vegetation Science 14: 669-680. [ Links ]

    THUILLER W, S LAVOREL, MT SYKES & MB ARAÚJO (2006) Using niche-based modelling to assess the impact of climate change on tree functional diversity in Europe. Diversity and Distributions 12: 49-60. [ Links ]

    TSOAR A, O ALLOUCHE, O STEINITZ, D ROTEM & R KADMON (2007) A comparative evaluation of presence-only methods for modelling species distribution. Diversity and Distributions 13: 397-405. [ Links ]

    VETAAS OR (2002) Realized and potential climate niches: A comparison of four Rhododendron tree species. Journal of Biogeography 29: 545-554. [ Links ]

    ZANIEWSKI AE, A LEHMANN & JM OVERTON (2002) Predicting species spatial distributions using presence-only data: A case study of native New Zealand ferns. Ecological Modelling 157: 261-280. [ Links ]