Predictive species distribution model of two endemic kangaroo rats from Mexico: Dipodomys ornatus and D. phillipsii (Rodentia: Heteromyidae)
Keywords:
conservation, desert, endemic, species distribution model, habitat, rodents.Abstract
Predictive species distribution models (SDMs) allow identifying suitable areas for the conservation of populations of endangered species. Dipodomys ornatus and D. phillipsii are two Nearctic rodents endemic to Mexico that inhabit arid and semiarid environments. Endemic species have a restricted distribution, making it difficult to monitor their distribution and conservation status. Therefore, it is important to understand the interactions between these species and the environmental/ecological variables in their local habitat. In this study, we constructed SDMs for these two rodents using MaxEnt (Maximum Entropy model). Also, we defined the areas with the suitable ecological characteristics for the preservation of the species. In order to construct an SDM for each species, we used MaxEnt at a national scale (Mexico), with a resolution of 30 arc-sec (1 km2). To this end, 91 presence data (63 for D. ornatus and 28 for D. phillipsii) reported in the literature and data bases were used, along with 27 climatic and ecological variables. Maps with a high predictive capability (Area under a Receiver Operating Characteristic [ROC] Curve = AUC > 0.9) were obtained for both species. Principal Component Analyses were carried out, resulting in 11 PCs that accounted for 95% of variability of the original environmental variables. The D. ornatus SDM is defined mainly by PC2, PC11 and PC1. PC4, PC2 and PC6 are the most influential variables in predicting the SDM of D. phillipsii. Sites with suitable environmental conditions for D. ornatus are located in the States of Durango, Zacatecas, Aguascalientes, San Luis Potosí, and Guanajuato, whereas the best environmental conditions for D. phillipsii were found in Puebla, Tlaxcala, Veracruz, and Hidalgo. As these species have a restricted distribution and field sampling is difficult, determining their conservation status is a complex issue; however, SDMs are a useful tool to identify areas with ideal characteristics to conduct surveys aimed at determining their conservation status or that could be used as future natural protected areas.References
Abraczinskas, L. 2016. Datos de la colección de la Universidad Estatal de Michigan (MSU). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Adhikari, D., S. K. Barik, and K. Upadhaya. 2012. Habitat distribution modeling for reintroduction of Ilex khasiana Purk, a critically endangered tree species of northeastern India. Ecological Engineering 40:37–43.
Aguilar–Soto, V., A. Melgoza–Castillo, F. Villarreal–Guerrero, C. Wehenkel and C. Pinedo–Álvarez. 2015. Modeling the potential distribution of Picea chihuahuana Martínez, an endangered species at the Sierra Madre Occidental, Mexico. Forest 6:692–707.
Bailey, S. A., R. H. Haines-Young, and C. Watkins. 2002. Species presence in fragmented landscapes: Modelling of species requirements at the national level. Biological Conservation 108:307–316.
Baldwin, R. A. 2009. Use of maximum entropy modeling in wildlife research. Entropy 11:854–866.
Bean, W. T., L. R. Prugh, R. Stafford, H. S. Butterfield, M. Westphal, and J. S. Brashares. 2014. Species distribution models of an endangered rodent offer conflicting measures of habitat quality at multiple scales. Journal of Applied Ecology 51:1116–1125.
Bivand, R. S., E. J. Pebesma, and V. Gómez-Rubio. 2008. Applied Spatial Data Analysis with R. Springer. New York, U. S. A.
Braun, J. 2017. Datos de la colección del Museo de Historia Natural de Sam Noble Oklahoma. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Comisión Nacional del Agua (CONAGUA). 2016. Distribución de precipitación pluvial. In: http://www.conagua.gob.mx/atlas/mapa/14/index_svg.html. Consultado el 08 junio 2016. CONAGUA.
Conroy, C. 2016. Datos de la colección del Museo de Zoología de Vertebrados, UC Berkeley (MVZ). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Cook, J. 2016. Datos de la colección del Museo de Biología del Suroeste (MSB). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Cruz-Cárdenas, G., L. López-Mata, J. L. Villaseñor, and E. Ortiz. 2014. Potential species distribution modeling and the use of principal component analysis as predictor variables. Revista Mexicana de Biodiversidad 85:189–199.
Dalquest, W. W. 1953. Mammals of the Mexican state of San Luis Potosí. Louisiana State University Studies, Biological Sciences Series 1:1–229.
Davis, W. B. 1944. Notes on Mexican mammals. Journal of Mammalogy 25:370–403.
Elith, J., C. H. Graham, R. P. Anderson, M. Dudík, S. Ferrier, A. Guisan, R. J. Hijmans, F. Huettmann, J. R. Leathwick, A. Lehmann, J. Li, L. G. Lohmann, B. A. Loiselle, G. Manion, C. Moritz, M. Nakamura, Y. Nakazawa, J. McC. M. Overton, A. Townsend-Peterson, S. J. Phillips, K. Richardson, R. Scachetti-Pereira, R. E. Schapire, J. Soberón, S. Williams, M. S. Wisz, and N. E. Zimmermann. 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography 29:129–151.
Elith, J., S. J. Phillips, T. Hastie, M. Dudík, Y. E. Chee, and C. J. Yates. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions 17:43–57.
ESRI. 2006. ArcGIS Desktop 9.2. Environmental System Research Institute. Redlands, EE. UU.
Esselstyn, J. 2015. Datos de la colección del Museo de Ciencia Natural de la Universidad Estatal de Louisiana (LSUMZ). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Feeney, R. 2018. Datos de la colección del Museo de Historia Natural del condado de Los Ángeles. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Fernández, J. A., F. A. Cervantes, and M. S. Hafner. 2012. Molecular systematics and biogeography of the Mexican endemic kangaroo rat, Dipodomys phillipsii (Rodentia: Heteromyidae). Journal of Mammalogy 93:560–571.
Ferraz, K., M. De Siqueira, E. Alexandrino, D. Da Luz, and H. Do Couto. 2012. Environmental suitability of a highly fragmented and heterogeneous landscape for forest bird species in south-eastern Brazil. Environmental Conservation 39:316–324.
Flannery, M. 2016. Datos de la colección de la Academia de Ciencia de California. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Fois, M., G. Fenu, A. C. Lombraña, D. Cogoni, and G. Bacchetta. 2015. A practical method to speed up the discovery of unknown populations using Species Distribution Models. Journal for Nature Conservation 24:42–48.
Gall, L. 2017. Datos de la colección del Museo Yale Peabody, División de Zoología Vertebrados – Mastozoología. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Garner, H. 2015. Datos de la colección del Museo de la Universidad Tecnológica de Texas (TTU). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Gegick, P. 2015. Datos de la colección del Museo de Historia Natural y Ciencias de Nuevo Mexico (NMMNH). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Genoways, H. H., and J. K. Jones. 1971. Systematics of southern banner-tailed kangaroo rats of the Dipodomys phillipsii group. Journal of Mammalogy 52:265–287.
Genoways, H. H., and J. H. Brown. 1993. Biology of the Heteromyidae. The American Society of Mammalogists. Provo, U. S. A.
Gil, G. E., and J. M. Lobo. 2012. El uso de Modelos predictivos de distribución para el diseño de muestreos de especies poco conocidas. Mastozoología Neotropical 19:47–62.
Grant, S. 2017. Datos de la colección del Museo de Historia Natural Field. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Grinnell, J. 1917. The niche-relationships of the California thrasher. The Auk: Ornithological Advances 34:427–434.
Hall, E. R. 1981. The mammals of North America. John Wiley and Sons. New York, EE. UU.
Hall, E. R., and W. W. Dalquest. 1963. The mammals of Veracruz. University of Kansas Publications, Museum of Natural History 14:165–362.
Hengl, T. 2007. A practical guide to geostatistical mapping of environmental variables. Geoderma 140:417–427.
Hernández, P. A., I. Franke, S. K. Herzog, V. Pacheco, L. Paniagua, H. L. Quintana, A. Soto, J. J. Swenson, C. Tovar, T. H. Valqui, J. Vargas, and B. E. Young. 2008. Predicting species distributions in poorly-studied landscapes. Biodiversity and Conservation 17:1353–1366.
Hijmans, R. J., S. E. Cameron, J. L. Parra, P. G. Jones, and A. Jarvis. 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25:1965–1978.
Hutchinson, G. E. 1957. Concluding remarks. Cold Spring Harbour Symposia on Quantitative Biology 22:415–427.
Hutchinson, G. E. 1978. An introduction to population ecology. Yale University Press. New Haven, U. S. A.
Instituto Nacional de Estadística y Geografía (INEGI). 2015. Recursos Naturales. In: http://www.inegi.org.mx/geo/contenidos/recnat/default.aspx. Consultado el 14 agosto 2015. INEGI.
Instituto Nacional de Estadística y Geografía (INEGI). 2016. Mapa Digital de México. In: http://gaia.inegi.org.mx/mdm6/?v=bGF0OjIyLjg3OTA3LGxvbjotMTAyLjEyMzY4LHo6MixsOmM0MDF8YzQxOA==. Consultado el 08 junio 2016.
Isik, K. 2011. Rare and endemic species: Why are they prone to extinction? Turkish Journal of Botany 35:411–417.
Jones, J. K., and H. H, Genoways. 1975. Dipodomys phillipsii. Mammalian Species 51:1–3.
Jorge, M., M. Galetti, M. Ribeiro, and K. Ferraz. 2013. Mammal defaunation as surrogate of trophic cascades in hotspot. Biological Conservation 163:49–57.
Kebede, F., P. D. Moehlman, A. Bekele, and P. H. Evangelista. 2014. Predicting seasonal habitat suitability for the critically endangered African wild ass in the Danakil, Ethiopia. African Journal of Ecology 52:533–542.
Kumar, S., and T. J. Stohlgren. 2009. Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. Journal of Ecology and the Natural Environment 1:094–098.
Liu, C., P. M. Berry, T. P. Dawson, and R. G. Person. 2005. Selecting thresholds of occurrence in the predictions of species distribution. Ecography 28:385–393.
Maguire, Jr., B. 1973. Niche response structure and the analytical potentials of its relationships to the habitat. The American Naturalist 107:213–246.
Martínez-Calderas, J. M., J. Palacio-Núñez, F. Clemente-Sánchez, J. F. Martínez-Montoya, G. Sánchez-Rojas, and G. Olmos-Oropeza. 2015. Distribución potencial de la rata magueyera (Neotoma leucodon Merriam, 1984) y densidad de madrigueras en el sur del desierto Chihuahuense. Therya 6:421–434.
McMahon, J. A. 1979. North American deserts: their floral and faunal components. Pp. 21–82 in Arid-land ecosystems: structure, functioning and management (Goodall D. W., R. A. Perry, and K.M.W. Howes, eds.), Vol. I, Cambridge University Press. New York, U. S. A.
Merriam, C. H. 1894. Preliminary descriptions of eleven new kangaroo rats of the genera Dipodomys and Perodipus. Proceedings of the Biological Society of Washington 9:109–115.
Millen, B. 2018. Datos de la colección del Museo Real de Ontario. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Newbold, T., F. Gilbert, S. Zalat, A. El-Gabbas, and T. Reader. 2009. Climate-based models of spatial patterns of species richness in Egypt’s butterfly and mammal fauna. Journal of Biogeography 36:2085–2095.
Opitz, C. 2016. Datos de la colección del Museo de Historia Natural de la Universidad de Iowa. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Orrell, T. 2015. Datos de la colección del Museo Nacional de Historia Natural del Smithsonian. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Papeş, M., and P. Gaubert. 2007. Modelling ecological niches from low numbers of occurrences: Assessment of the conservation status of poorly known viverrids (Mammalia, Carnivora) across two continents. Diversity and Distributions 13:890–902.
Pearce, J., and S. Ferrier. 2000. Evaluating the predictive performance of habitat models developed using logistic regression. Ecological Modelling 133:225–245.
Pearson, R. G. 2007. Species’ Distribution Modeling for Conservation Educators and Practitioners. Synthesis. American Museum of Natural History. New York, U. S. A.
Peterson, A. 2006. Uses and requirements of ecological niche models and related distributional models. Biodiversity Informatics 3:59–72.
Phillips, S. J., R. P. Anderson, and R. E. Schapire. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling 190:231–259.
Phillips, S. J., and M. Dudík. 2008. Modeling of species distribution with Maxent: new extensions and a comprehensive evaluation. Ecography 31:161–175.
Pliscoff, P., and T. Fuentes-Castillo. 2011. Modelación de la distribución de especies y ecosistemas en el tiempo y en el espacio: una revisión de las nuevas herramientas y enfoques disponibles. Revista de Geografía Norte Grande 79:61–79.
Prestridge, H. 2015. Datos de la colección de la Universidad de Texas A&M Instituto de Biodiversidad. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Quinn, G. P., and M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press. Cambridge, United Kindom.
R Development Core Team. 2018. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Ramírez-Albores, J. E., L. León-Paniagua, and A. G. Navarro-Sigüenza. 2014. Mamíferos silvestres del Parque Ecoturístico Piedra Canteada y alrededores, Tlaxcala, México; con notas sobre algunos registros notables para el área. Revista Mexicana de Biodiversidad 85:48–61.
Ramírez-Pulido, J., N. González-Ruíz, A. L. Gardner, and J. Arroyo-Cabrales. 2014. List of recent land mammals of México. Special Publications, Museum of Texas Tech University 63:1–69.
Revelez, M. 2015. Datos de la colección de la Universidad Estatal Angelo (ASNHC). In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Rhoden, C. M., W. E. Peterman, and C. A. Taylor. 2017. Maxent-directed field surveys identify new populations of narrowly endemic habitat specialists. PeerJ 5:e3632.
Rovzar, C., T. W. Gillespie, K. Kawelo, M. McCain, E. C. Riordan, and S. Pau. 2013. Modelling the potential distribution of endangered, endemic Hibiscus brackenridgei on Oahu to assess the impacts of climate change and prioritize conservation efforts. Pacific Conservation Biology 19:156–168.
Rzedowski, J. 2006. Vegetación de México, primera edición digital. Comisión Nacional para el Conocimiento y Uso de la Biodiversidad. Ciudad de México, México.
Schmidly, D. J., K. T. Wilkins, and J. M. Derr. 1993. Biogeography. Pp. 319–356 in Biology of the Heteromyidae (H. H. Genoways, and J. H. Brown, eds.), American Society of Mammalogists. Provo, U. S. A.
Secretaría del Medio Ambiente y Recursos Naturales (SEMARNAT). 2010. Norma Oficial Mexicana NOM-059-SEMARNAT- 2010, Protección ambiental, Especies nativas de México de flora y fauna silvestres, Categorías de riesgo y especificaciones para su inclusión, exclusión o cambio, Lista de especies en riesgo. Secretaría del Medio Ambiente y Recursos Naturales, México. Diario Oficial de la Federación. 30 de diciembre 2010, Segunda Sección.
Slade, N. 2017. Datos de la colección de la Universidad de Kansas Instituto de Biodiversidad. In: VertNet 2018. Versión 2016-09-29. www.vertnet.org/index.html. Consultado el 15 junio 2018.
Soberón, J., and A. T. Peterson. 2005. Interpretation of models of fundamental ecological niches and species’ distributional areas. Biodiversity Informatics 2:1–10.
Stuart, S., J. S. Chanson, N. A. Cox, B. E. Young, A. S. L. Rodrigues, D. L. Fischman, and R. W. Waller. 2004. Status and trends of amphibian declines and extinctions worldwide. Science 306:1783–1786.
Thomas, C. D., A. Cameron, R. E. Green, M. Bakkenes, L. J. Beaumont, Y. C. Collingham, B. F. N. Erasmus, M. F. De Siqueira, A. Grainger, L. Hannah, L. Hughes, B. Huntley, A. S. Van Jaarsveld, G. F. Midgley, L. Miles, M. A. Ortega - Huerta, A. T. Peterson, O. L. Phillips, and S. E. Williams. 2004. Extinction risk from climate change. Nature 427:145–8.
Vale, C. G., P. Tarroso, J. C. Brito, and M. Robertson. 2014. Predicting species distribution at range margins: testing the effects of study area extent, resolution and threshold selection in the Sahara–Sahel transition zone. Diversity and Distribution 20:20–33.
Wiser, S., R. Peet, and P. White. 1998. Prediction of rare-plant occurrence: A southern Appalachian example. Ecological Applications 8:909–920.
Wisz, M. S., R. J. Hijmans, J. Li, A. T. Peterson, C. H. Graham, A. Guisan, J. Elith, M. Dudík, S. Ferrier, F. Huettmann, J. R. Leathwick, A. Lehmann, L. Lohmann, B. A. Loiselle, G. Manion, C. Moritz, M. Nakamura, Y. Nakazawa, J. M. Overton, S. J. Phillips, K. S. Richardson, R. Scachetti-Pereira, R. E. Schapire, J. Soberón, S. E. Williams, and N. E. Zimmermann. 2008. Effects of sample size on the performance of species distribution models. Diversity and Distribution 14:763–773.
Woolf, A., C. K. Nielsen, T. Weber, and T. J. Gibbs-Kieninger. 2002. Statewide modeling of bobcat, Lynx rufus, habitat in Illinois, U. S. A. Biological Conservations 104:191–198.
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