versión On-line ISSN 2007-8706
versión impresa ISSN 1870-3453
Rev. Mex. Biodiv. vol.81 no.3 México dic. 2010
Mammalian diversity in climatic domains for TehuacánCuicatlán Biosphere Reserve, Mexico
Diversidad de mamíferos en los dominios climáticos de la Reserva de la Biosfera TehuacánCuicatlán, México
Oswaldo Téllez Valdés1, Verónica Farías1*, Patricia Dávila Aranda1, Janet Louis Stein2, Rafael Lira Saade1 and Francisco J. Botello3
1 Laboratorio de Recursos Naturales, Unidad de Biología, Tecnología y Prototipos (UBIPRO), Facultad de Estudios Superiores Iztacala Universidad Nacional Autónoma de México (UNAM). Avenida de los Barrios 1, Los Reyes Iztacala, Tlalnepantla, C.P. 54090, Estado de México, México *Correspondent: firstname.lastname@example.org
2 Centre for Resource and Environmental Studies, The Australian University, Canberra, Australia.
3 Laboratorio de Sistema de Información Geográfica, Instituto de Biología, Universidad Nacional Autónoma de México (UNAM). Circuito exterior s/n, Ciudad Universitaria, Coyoacán, C.P. 04510, México, D. F., México
Recibido: 23 febrero 2009
Aceptado: 08 enero 2010
The TehuacánCuicatlán biosphere reserve (BRTC) is rich in mammalian diversity, but geographical distribution information is absent or insufficient for most species. Consequently, previous efforts to model the ecological niche and potential distribution of mammals have been hampered. The main purpose of this study was to examine the patterns of mammalian diversity in BRTC using a climatic domains classification. Biological datasets composed of geographically referenced localities commonly are raw input during analyses of geographical distributions of species, but in countries like Mexico datasets frequently are incomplete and biased. The recent availability of interpolators and geographic information systems make possible the enhancement of environmental datasets and open the possibility to use climatic parameters to explain biological patterns. In this study we generated a climatic domain classification for the TehuacánCuicatlán valley and its surrounding areas of influence. With this approach, climatic domains were used as biodiversity surrogates, and we justified the overlapping of environmental data with the biological dataset (species, longitude, latitude, and elevation) to evaluate and complement the available mammal diversity information within BRTC.
Key words: biodiversity surrogate, geographic distribution, Mammalia.
La reserva de la biosfera TehuacánCuicatlán (BRTC) posee gran diversidad de mamíferos, pero la información sobre distribución geográfica es incompleta para la mayoría de las especies. Esto ha representado una dificultad en esfuerzos previos para modelar el nicho ecológico y la distribución potencial de mamíferos en la BRTC. Nuestro objetivo fue comparar los patrones de diversidad de mamíferos en la BRTC usando una clasificación de dominios climáticos. Las bases de datos biológicas compuestas de localidades georeferenciadas generalmente son usadas como datos crudos en análisis de distribución geográfica de especies, pero en países como México frecuentemente están incompletas y presentan sesgos de muestreo. La reciente disponibilidad de interpoladores y de sistemas de información geográfica permitió mejorar las bases de datos ambientales, lo que abrió la posibilidad de usar parámetros climáticos para explicar patrones biológicos. En este estudio generamos una clasificación de dominios climáticos del valle de TehuacánCuicatlán y sus áreas de influencia. Con este enfoque, los dominios climáticos fueron usados como sustituto de biodiversidad, y justificamos la superposición de los parámetros climáticos con la base de datos biológica (especie, longitud, latitud y elevación) para evaluar y complementar la información disponible sobre la diversidad de mamíferos en la BRTC.
Palabras clave: sustituto de biodiversidad, distribución geográfica, Mammalia.
The analyses of species distribution aimed to identify priority areas for biodiversity conservation rely mainly on datasets of point localities where specimens were collected. Nevertheless, raw data of geographical distributions of species are frequently incomplete, fragmented and biased (Reddy and Dávalos, 2003; Rondinini et al., 2006). When good range data are available for a species or group of species, it is common to use this information as surrogate of biodiversity patterns in other groups of species where information is absent or incomplete (Caro and O'Doherty, 1999; Pinto et al., 2008). Another choice has been to use the information contained in patterns at higher levels in the biological hierarchy, such as vegetation types and landscape features (Lindenmayer et al., 1991, Margules and Pressey, 2000). Moreover, with the use of geographic information systems and interpolators like ANUSPLIN (Hutchinson, 1991), trustworthy environmental data have been produced for areas where climatic information was missing, opening the possibility to use nonbiological elements, such as climatic variables, to explain biological patterns (Téllez Valdés and Dávila Aranda, 2003). Several studies developed by Hutchinson (1991, 1995a, 1995b, 1997, 1998) and Hutchinson and Gessler (1994) enabled the 3dimensional space interpolation of climatic data by incorporating a digital elevation model to generate raster surfaces of climatic variables and parameters for Australia. Using the software package ANUSPLIN, climatic surfaces of the minimum and maximum temperature and precipitation, and 19 specific bioclimatic parameters have recently been derived for Mexico and for the TehuacánCuicatlán valley (Téllez Valdés and Dávila Aranda, 2003; Téllez Valdés et al., in press).
The TehuacánCuicatlán biosphere reserve (BRTC) belongs to the floristic province of the TehuacánCuicatlán valley, which is outstanding for its high plant diversity and endemism (Rzedowski, 1978; Dávila, 1997; Téllez Valdés and Dávila Aranda, 2003). Recently, some surveys and studies showed that the BRTC is rich in mammal species and endemisms compared to other protected natural areas in México (Botello et al., 2005, 2006a, 2006b; Ramírez Pulido and Martínez Vázquez, 2007). Nevertheless, studies of the diversity and distribution of mammals in the BRTC are limited in the number of localities and species investigated (Ramírez Pulido and Martínez Vázquez, 2007). Therefore, current knowledge regarding mammalian distribution patterns in the BRTC is fragmentary, particularly for Mexican endemic species (Ramírez Pulido and Martínez Vázquez, 2007). Thus, the bias and lack of information prevail for most mammal species in available biological datasets, and this shortcoming hampered our previous efforts to model the ecological niche and potential distribution of mammals within BRTC using BIOCLIM and GARP. Consequently, the main purpose of this study was to examine the patterns of mammalian diversity in BRTC using a climatic domains classification, since domains may be a good surrogate of biodiversity and may represent the reserve's high biological diversity and endemism rate, complex topography, and varied environmental conditions (Téllez Valdés and Dávila Aranda, 2003).
Materials and methods
Study area. The TehuacánCuicatlán biosphere reserve is located in southeastern Puebla and northwestern Oaxaca, approximately at 96° 55' to 97° 44' longitude W and 17° 39' to 18° 53' latitude N. The reserve has an extension of about 5 000 km2, but it belongs to a much larger unit, the floristic province of TehuacánCuicatlán valley (Rzedowski, 1978) which covers about 10 000 km2 and represents the southernmost semiarid area in Mexico and in North America. It is one of the most important arid regions in the world, due to its floristic richness and high endemism rate (Dávila , 1997; Dávila et al., 2002). Because the available biological dataset of mammalian distribution within BRTC was biased and incomplete for most species, we rather used the more complete and less biased dataset of mammalian diversity patterns for a region that included the TehuacánCuicatlán valley and its surrounding areas of influence: the Balsas basin, the Mixteca region, the arid zone of the State of Veracruz, and part of the Sierra Madre del Sur mountain range.
We defined the climatic domains (geographic units with similar environments) through multivariate classification of a data set consisting of climatic estimates for points on a 1km grid across our study area. Using ArcView 3.2 (Environmental Systems Research Institute [ESRI], Redlands, California, U.S.A.), we created a rectangular polygon with extreme coordinates 19.00o North, 17.00o South, 96.65o East, and 99.50o West. This polygon represented our study area and included the TehuacánCuicatlán valley and its surrounding areas of influence: the Balsas basin, the Mixteca region, the arid zone of the State of Veracruz, and part of the Sierra Madre del Sur mountain range. The polygon included an area of approximately 90 000 km2. We overlapped the environmental data with the biological dataset of point locations (species, longitude, latitude, and elevation) from mammalian species that fell in our study area.
Biological dataset. The Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), México, provided a dataset of precisely georeferenced locations from the mammal species that fell in the study polygon with extreme coordinates 19.00o North, 17.00o South, 96.65o East, and 99.50o West. We also included in our dataset georeferenced locations from scats of the neotropical river otter, (Lontra longicaudis), observed by Francisco J. Botello (Instituto de Biología, Universidad Nacional Autónoma de México), and georeferenced locations of pictures of mammal species collected by camera traps during an ecological study of carnivore mammals in the BRTC (Botello, 2006). With this information, and according to the most recent publications (Villa Ramírez and Cervantes Reza, 2003; Ceballos and Oliva, 2005; Botello et al., 2005, 2006a, 2006b; Ramírez Pulido and Martínez Vázquez, 2007), we compiled a list of mammal species that have been collected, observed, or reported within the BRTC.
Climatic variables and climatic domains classification. We estimated 19 climate variables (Table 1) for points on a 1km grid across our study area (approximately 90,000 grid points) from thin plate smoothing splines (Hutchinson, 1995a) using the ANUSPLIN version 4.3 (Hutchinson and Gessler, 1994; Hutchinson, 2004) fitted to meteorological station data. The description of the methodology used to choose and estimate the climate variables, and to classify the climatic domains has been described fully elsewhere (Téllez Valdés et al., in press). ANUSPLIN has been successfully used in interpolation exercises (New et al., 1999, 2002), has good performance in comparative tests of multiple interpolation techniques (Hartkamp et al., 1999; Jarvis and Stuart, 2001; Hijmans et al., 2005), and is computationally resourceful and easy to execute. Interpolation errors were slightly larger than 0.5 Celsius degrees for maximum and minimum temperatures, and between 813% for monthly mean precipitation (Téllez Valdés et al., in press), which are typical of denser data networks (Hutchinson, 1997).
Classification results were imported into desktop geographic information system ArcView 3.2 (ESRI, Redlands, California, U.S.A.) for inspection of 5domains and 10domains levels of classification, and for their comparison with digitalized maps of floristic and ecological regions, and vegetation types (Rzedowski, 1978). The climatic domains were overlapped with the biological database of geographic distribution of mammalian species in the TehuacánCuicatlán valley and surrounding areas of influence.
Mammalian dataset. We compiled 9 669 point locations of mammal species that fell in the study polygon with extreme coordinates 19.00o North, 17.00o South, 96.65o East, and 99.50o West. From these point locations, 2 882 were unique registries for 192 species, from which 2 258 point locations belonged to 92 of 98 mammal species that have been collected, observed or reported within the BRTC. We listed 98 mammals species that may inhabit the BRTC, according to the most recent publications (Villa Ramírez and Cervantes Reza, 2003; Ceballos and Oliva, 2005; Botello et al., 2005, 2006a, 2006b; Ramírez Pulido and Martínez Vázquez, 2007), and to Ramírez Pulido et al. (2005) taxonomic classification. The 98 species belonged to 8 orders, 20 families, and 64 genera of mammals ((Table 2). We plotted the georeferenced locations of mammalian species in TehuacánCuicatlán valley and surrounding areas of influence, as point locations ((Figure 1).
We did not obtain georeferenced locations for the vole Microtus oaxacensis, the big smalleared shrew (Cryptotis magna), and 4 species of bats: Mexican bigeared bat (Corynorhinus mexicanus), western red bat (Lasiurus blossevillii), evening bat (Nycticeius humeralis), and little yellow bat (Rhogeessa parvula). For the Commissaris's longtongued bat (Glossophaga commissarisi ) we compiled just 1 point location. For 7 species we compiled 2 georeferenced locations, and for 19 species we obtained 3 to 9 locations.
Climatic Domain Classification. Noteworthily, at the 5domains level of classification ((Figure 1), domain 4 was made up of the Balsas basin, the Tehuacán Valley, and the Cuicatlán Valley. Two main braches for the 5domains classification were evident ((Figure 2). The first branch included the eastern part of the study area, which was the coastal plain of the Gulf of México, represented by domain 3, and differed in climate from the BRTC and surrounding areas of influence, represented by domains 1, 2, 4 and 5. The second branch showed 2 ramifications which separated domains 1 and 2 from domains 4 and 5, indicating that the TehuacánCuicatlán valley and the Balsas basin had more similarity with the Sierra Madre del Sur mountain range, compared to the Sierra Madre Oriental, the Mexican Transversal Volcanic Belt, and the Sierra Norte de Oaxaca mountain range.
At the 10domains level of classification ((Figure 3), 2 main branches showed that climatic differences were evident and related mainly to precipitation and temperature rates ((Table 3). The first branch was the group of domains 3, 4, and 6, determined mainly by higher precipitation rates and less extreme minimum temperature values in the Gulf of Mexico coastal plain ((Figure 4), which differed in climate from the BRTC and surrounding areas of influence, and was made up of tropical rain forests in Veracruz (domain 4), montane forest in Oaxaca and Veracruz (domain 3), and evergreen tropical forest (domain 6). The second branch was characterized by temperate and arid environments in 3 ramifications: a) domains 2, 10 and 7, b) domains 8 and 9, and c) domains 1 and 5. The first ramification contained xeric vegetation such as desert rosette thicket and pineoak forest in the Mexican Transverse Volcanic Belt (domain 2), oak and pineoak forests in the Sierra Madre del Sur (domain 10), and oak forest in the Sierra Norte de Oaxaca (domain 7). The second ramification contained deciduous dry forest, pine forest, oak forest, and pineoak forest in the Sierra Madre del Sur (domains 8 and 9). The third ramification contained deciduous dry forest in the Balsas basin, oak and pineoak forests in the Sierra Madre del Sur and Mexican Transversal Volcanic Belt, and thicket in the TehuacánCuicatlán valley. Notably again, the 10domains classification identified climatic similarities between the TehuacánCuicatlán valley and the Balsas basin.
Mammalian diversity in Climatic Domains of BRTC. Climate domains in the BRTC were characterized mainly by arid environments, with the addition of some temperate environments as well. At the 10domains level of classification, just 7 of the 10 domains fell in the BRTC ((Table 4), and domain 10, represented by oak and pineoak forests, made up 44% of the reserve area. Domain 2 was oak and pineoak forests, and domains 1 and 5 were represented by thicket in TehuacánCuicatlán valley, and each of these domains covered over 15 % of BRTC total area ((Figure 3). Domain 7 was represented by oak forest and covered less than 10 % of BRTC area, and domains 3 and 4 made up less than 1 % of the reserve's BRTC and were composed of tropical rain and montane forests ((Table 4).
From the total of 98 mammal species that we listed in the BRTC, georeferenced locations were documented only in 5 of the 7 domains in the reserve, and the number of species with point locations varied between 11 and 39 among these 5 domains ((Table 4); domains 3 and 4 had no data and also were poorly represented in BRTC in terms of area.
The number of species with georeferenced locations increased substantially for every domain when we considered the full information in the study area polygon ((Table 4) with extreme coordinates 19.00o North, 17.00o South, 96.65o East, and 99.50o West. For example, the number of species with georeferenced locations in domain 5 increased from 39 to 71. Data behaved similarly for domains 2, 1, and 10. For domains 3 and 4 that had zero georeferenced locations of mammal species within the BRTC, data increased to 53 and 10 species, respectively.
Mammalian dataset. The georeferenced locations of mammalian species in the TehuacánCuicatlán valley and surrounding areas of influence, plotted in (Figure 1 as point locations, showed that the biological dataset was fragmented, biased, and incomplete. There were several places without georefenced locations, as well as some places with higher density of point locations. Although we listed 98 species, we obtained georeferenced locations for 92 of them. Also, there were 29 species with few or very few (1 to 9) point locations. For endemic and rare species with restricted distribution, the lack of information may be explained by the difficulty of collecting or observing specimens, as may be the cases of the vole M. oaxacensis and the big smalleared shrew (C. magna), both endemic to Oaxaca, and the chestnutbellied shrew (Sorex ventralis), endemic to Mexico (Ramírez Pulido et al., 2005; Ramírez Pulido and Martínez Vázquez, 2007). The limited number of species and locations that have been studied within BRTC are other factors that may explain the absence of information regarding the geographic distribution of mammals (Ramírez Pulido and Martínez Vázquez, 2007). Nevertheless, the absence of georeferenced locations occurred also for 4 species of bats that show a wide distribution in México: Mexican bigeared bat (C. mexicanus), western red bat (L. blossevillii), evening bat (N. humeralis), and little yellow bat (R. parvula). Similarly, only 1 point location was obtained for the Commissaris's longtongued bat (G. commissarisi), and 2 point locations were obtained for other mammal species without restricted distributions in México: the silky pocket mouse (Perognathus flavus), the tepezcuintle or lowland paca (Cuniculus paca), and 4 bats: black Myotis (Myotis nigricans), Peale's freetailed bat (Nyctinomops aurispinosus), big freetailed bat (Nyctinomops macrotis), and big crested mastiff bat (Promops centralis).
Our list of mammal species within the BRTC is appointed to change in the near future, because recent studies suggest that some species might be extirpated from the BRTC, and other species may have not been documented yet (Botello et al., 2005, 2006a, 2006b; Ramírez Pulido and Martínez Vázquez, 2007). Ramírez Pulido and Martínez Vázquez (2007) mention that they found no evidence to support the assertion of the presence of jaguarundi (Herpailurus yagouaroundi), puma (Puma concolor), and jaguar (Panthera onca) within the BRTC, whereas for the tayra (Eira barbara) they reported that local people showed them some pelts but they found no further evidence. Recently, Botello et al. (2005, 2006a, 2006b) documented the first photographic registries of margay (Leopardus wiedii), bobcat (Lynx rufus), and tepezcuintle (C. paca) in the BRTC, as well as the first findings of scats of neotropical river otter (Lontra longicaudis). In addition, the American badger (Taxidea taxus) and pocket gophers (Order Rodentia, Family Geomyidae) are species acknowledged by local people to be present in the reserve, but not yet documented with georeferenced data.
Climatic Domains Classification. The climate patterns in our results revealed that at both the 5domains and 10domains levels of classification, although geographically separated from each other, the TehuacánCuicatlán valley and the Balsas basin share great similarity in climatic conditions. Their native flora, mainly in the warmest regions, shows a particular relationship (Miranda, 1948). Although the TehuacánCuicatlán valley forms part of the hydrological region of the Papaloapan river, it probably belonged in the past to the Balsas basin (Rzedowski, 1978). Nevertheless, the floristic composition differs between TehuacánCuicatlán valley and Balsas basin (Rzedowski, 1978), the best example perhaps being the genus Bursera. There are 48 species of Bursera in the Balsas basin compared to 12 species in the TehuacánCuicatlán valley. Thus, the differences in floristic composition are manifested in the tropical deciduous forest being dominated by Bursera in the Balsas basin, while several Leguminosae genera dominate in the TehuacánCuicatlán valley.
If we consider climate domains as a surrogate of biodiversity, the analysis of climate coverage protected by the limits of the BRTC (Téllez Valdés et al., in press), revealed marked variations across the reserve ((Table 3). This fact increases the probability of including enough biological and environmental variation, which are the main elements that enable the occurrence of many of the ecological processes evolved in the area (Téllez Valdés et al., in press).
Mammal Diversity and Climatic Domains Analysis. It is interesting to point out that the environmental characteristics of the climatic domains in the TehuacánCuicatlán valley were not unique and were shared with the Balsas basin. Thus, due to the insufficient information about the distribution of mammals inside the BRTC, climatic similarities between TehuacánCuicatlán valley and Balsas basin justified the overlapping of environmental data with the biological dataset of point locations (species, longitude, latitude, and elevation) from mammalian species throughout the TehuacánCuicatlán valley and its surrounding areas of influence. With this approach we implied that point locations of mammal species that fell within those climatic domains shared with the BRTC may be used to enhance conservation studies and analysis for the reserve. For example, one application may be to improve the modeling of the ecological niche and potential distribution of mammals within BRTC using BIOCLIM. Our previous efforts were severely hampered by bias and lack of information for most species, because we used only those point locations that fell within BRTC. Therefore, in subsequent analyses, we may enhance the modeling of the ecological niche and potential distribution of mammal species within the BRTC, with the more complete and less biased location data from the much wider geographic area of TehuacánCuicatlán valley and its surrounding areas of influence.
We would like to thank Dr. Enrique Martinez Meyer who has critically reviewed the manuscript and suggested valuable comments and corrections. We thank FES Iztacala UNAM for the financial support given through the program PAPCA 20022003, and PAPCA 20092010 (Project number 65), and to DGAPAUNAM through its program PAPIIT (IN2202021, IX2281041, IN212407) for financial support. We also acknowledge the support of DGAPAUNAM through its program PROFIP, awarded to V. Farías. We thank 3 anonymous reviews that greatly enhanced the scope of the manuscript.
Belbin, L. 1987. The use of nonhierarchical clustering methods in the classification of large sets of data. Australian Computer Journal 19:3241. [ Links ]
Belbin, L. 1991. PATN technical reference manual. Division of Wildlife and Ecology. CSIRO Canberra, ACT, Australia. 16 p. [ Links ]
Belbin, L., C. Marshall and D. P. Faith. 1983. Representing relationships by automatic assignment of color. Australian Computer Journal 15:160163. [ Links ]
Botello, F. J. 2006. Distribución, actividad y hábitos alimentarios de carnívoros en la Reserva de la Biosfera Tehuacán Cuicatlán. MSc Thesis. Instituto de Biología, Universidad Nacional Autónoma de México. http://132.248.9.:8080/tesdig/Procesados_2006/0602778/Index.html. [ Links ]
Botello, F., P. Illoldi Rangel, M. Linaje, and V. Sánchez Cordero. 2005. Nuevos registros del tepezcuintle (Agouti paca) para el norte del estado de Oaxaca, México. Revista Mexicana de Biodiversidad 76:103105. [ Links ]
Botello, F., P. Illoldi Rangel, M. Linaje and V. Sánchez Cordero. 2006a. Primer registro del trigrillo (Leopardus wiedii Schinz 1821) y del gato montés (Lynx rufus Kerr 1972) en la Reserva de la Biosfera de TehuacánCuicatlán, Oaxaca, México. Acta Zoológica Mexicana 22:135139. [ Links ]
Botello, F., J. M. Salazar, P. Illoldi Rangel, M. Linaje, G. Monroy, D. Duque and V. Sánchez Cordero. 2006b. Primer registro de la nutria de río (Lontra longicaudis) en la Reserva de la Biosfera de TehuacánCuicatlán, Oaxaca, México. Revista Mexicana de Biodiversidad 77:133135. [ Links ]
Caro, T. M. and G. O'Doherty. 1999. On the use of surrogate species in conservation biology. Conservation Biology 13:805814. [ Links ]
Ceballos, G. and G. Oliva. (coords.) 2005. Los mamíferos silvestres de México. Fondo de Cultura Económica y Comisión Nacional para el Conocimiento y Uso de la Biodiversidad. First edition. México, D. F., México. 968 p. [ Links ]
Dávila Aranda, P., J. L. Villaseñor, R. Medina, A. Ramírez, A. Salinas, J. Sánchez Ken and P. Tenorio. 1993. Flora del Valle de TehuacánCuicatlán. Listados florísticos de México X. Instituto de Biología, Universidad Nacional Autónoma de México. México, D.F. 195 p. [ Links ]
Dávila, P. 1997. Tehuacán Cuicatlán Region. Mexico. In Centres of Plant Diversity. Vol. 3, S. D. Davis, V. H. Heywood, O. Herrera MacBryde, J. Villa Lobos and A. C. Hamilton (eds.). IUCN and WWF, Information Press, Oxford. p. 139143. [ Links ]
Dávila, P., M. C. Arizmendi, A. Valiente Banuet, J. L. Villaseñor, A. Casas and R. Lira. 2002. Biological diversity in the TehuacánCuicatlán Valley, Mexico. Biodiversity and Conservation 3:421442. [ Links ]
Faith, D. P., H. A. Nix, C. R. Margules, M. F. Hutchinson, P. Walker, J. West, J. L. Stein, J. L. Kesteven, A. Allison and G. Natera. 2001. The Biorap Biodiversity Assessment and Planning study for Papua New Guinea. Pacific Conservation Biology 6:279288. [ Links ]
García, E. 1988. Modificaciones al Sistema de Clasificación Climática de Koppen. México, D.F. p. 217. [ Links ]
Hartkamp, A. D., K. De Beurs, A. Stein and J. W. White. 1999. Interpolation Techniques for Climate Variables, NRGGIS Series 9901. CIMMYT: Mexico, D. F., México. http://www.cimmyt.org/Research/nrg/pdf/NRGGIS%209901.pdf (last access:01.IX.2004). [ Links ]
Hijmans, R., 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 25:19651978. [ Links ]
Houlder, D. J., M. F. Hutchinson, H. A. Nix and J. P. McMahon. 2000. ANUCLIM 5.1 User guide, Centre for Resource and Environmental Studies, Australian National University, Canberra. Australian Capital Territory. [ Links ]
Hutchinson, M. F. 1991. The application of thinplate smoothing splines to continentwide data assimilation. In Bureau of Meteorology, J. D. Jasper (ed.). BMRC Research Report Series, Melbourne, Australia. p. 104113. [ Links ]
Hutchinson, M. F. 1995a. Interpolating mean rainfall using thin plate smoothing splines. International Journal of Geographic Information Systems 9:385403. [ Links ]
Hutchinson, M. F. 1995b. Stochastic spacetime weather models from groundbased data. Agricultural and Forest Meteorology 73:237264. [ Links ]
Hutchinson, M. F. 1997. ANUSPLIN. Version 4.1. User guide, Centre for Resource and Environmental Studies, Australian National University, Canberra. Australian Capital Territory. [ Links ]
Hutchinson, M. F. 1998. Interpolation of rainfall with thin plate smoothing splines: I. Twodimensional Smoothing of Data with Short Range Correlation. Journal of Geographic Information and Decision Analysis 2:152167. [ Links ]
Hutchinson, M. F. 2004. ANUSPLIN. Version 4.3. User guide, Centre for Resource and Environmental Studies, Australian National University, Canberra. Australian Capital Territory. [ Links ]
Hutchinson, M. F. and P. E. Gessler. 1994. Splines more than just a smooth interpolator. Geoderma 62:4567. [ Links ]
Instituto Mexicano de Tecnología del Agua (IMTA). 1996. Extractor rápido de información climatológica. Estaciones climatológicas México. [ Links ]
Jarvis, C. H. and N. Stuart. 2001. A comparison among strategies for interpolating maximum and minimum daily air temperatures. Part II: the interaction between the number of guiding variables and the type of interpolation method. Journal of Applied Meteorology 40:10751084. [ Links ]
Jones, H. G. 1994. Plants and microclimate: a quantitative approach to environmental plant physiology. 2nd Edition. Cambridge University Press. Cambridge, United Kingdom. 433 p. [ Links ]
Landsberg, J. J. 1986. Physiological ecology of forest production. Academic Press. London. 198 p. [ Links ]
Leathwick, J. R., J. McC. Overton, M. and McLeod. 2003. An environmental domain classification of New Zealand and its use as a tool for biodiversity management. Conservation Biology 17:16121623. [ Links ]
Lindenmayer, D. B., H. A. Nix, J. P. McMahon, M. F. Hutchinson and M. T. Tanton. 1991. The conservation of Leadbeater's possum, Gymnobelideus leadbeateri (McCoy): a case study of the use of bioclimatic modelling. Journal of Biogeography 18:371383. [ Links ]
Lugo, A.E., S. L. Brown, R. Dodson, T. S. Smith and H. H. Shugart. 1999. The Holdridge life zones of the conterminous United States in relation to ecosystem mapping. Journal of Biogeography 26:10251038. [ Links ]
Margules, C. R. and R. L. Pressey. 2000. Systematic conservation planning. Nature 405:243253. [ Links ]
Miranda, F. 1948. Datos sobre la vegetación en la Cuenca Alta del Papaloapan. Anales del Insituto de Biología, Universidad Nacional Autónoma de México, Serie Botánica 19:333364. [ Links ]
New, M., M. Hulme and P. Jones. 1999. Representing twentiethcentury spacetime climate varibility. Part I: Development of a 196190 mean monthly terrestial climatology. Journal of Climate 12:829856. [ Links ]
New, M., D. Lister, M. Hulme and I. Makin. 2002. A highresolution data set of surface climate over global land areas. Climate Research 21:125. [ Links ]
Nix, H. A. 1986. A Biogeographic analysis of Australian elapid snakes. Flora and Fauna 7: 415. [ Links ]
Nix, H. A., D. P. Faith, M. F. Hutchinson, C. R. Margules, J. West, A. Allison, J. L. Kesteven, G. Natera, W. Slater, J. L. Stein and P. Walker. 2000. The Biorap toolbox. A National Study of Biodiversity Assessment and Planning for Papua New Guinea. Consultancy Report to the World Bank. Centre for Resource and Environmental Studies, The Australian National University, Canberra, Australia. 48 p. [ Links ]
Noss, R. F. 1983. A regional landscape approach to maintain diversity. Bioscience 33:700706. [ Links ]
Noss, R. F. 1991. Landscape Connectivity: different function at different scales. In Landscape linkages and Biodiversity, W.E. Hudson (ed.). Island Press, Washington D.C. p. 2739. [ Links ]
Pinto, M. P., J. A. F. DinizFilho, L. M. Bini, D. Blamires and T. F. L. V. B. Rangel. 2008. Biodiversity surrogate groups and conservation priority areas: birds of the Brazilian Cerrado. Diversity and Distributions 14:7886. [ Links ]
Ramírez Pulido, J. and J. Martínez Vázquez. 2007. Diversidad de los mamíferos de la Reserva de la biósfera TehuacánCuicatlán, PueblaOaxaca, México. Informe final SNIBCONABIO proyect No. BK022. México D. F. 15 p. [ Links ]
Ramírez Pulido, J., J. ArroyoCabrales and A. Castro Campillo. 2005. Estado actual y relación nomenclatural de los mamíferos terrestres de México. Acta Zoológica Mexicana 21:2182. [ Links ]
Reddy, S. and L. M. Dávalos. 2003. Geographical sampling bias and its implications for conservation priorities in Africa. Journal of Biogeography 30:17191727. [ Links ]
Rondinini, C., K. S. Wilson, L. Boitani, H. Grantham and H. P. Possingham. 2006. Tradeoffs of different types of species occurrence data for use in systematic conservation planning. Ecology Letters 9:11361145. [ Links ]
Rzedowski, J. 1978. Los tipos de Vegetación de México. Limusa Wiley. México. 432 p. [ Links ]
Smith, E. C. 1965. Flora, Tehuacan Valley. Fieldiana Botany 31:101143. [ Links ]
Sneath, P. H. and R. R. Sokal. 1973. Numerical taxonomy. W. H. Freeman, San Francisco. 573 p. [ Links ]
Sousa, W. P. 1984. The role of disturbance in natural communities. Annual Review of Ecology and Systematics 15:353391. [ Links ]
Téllez Valdés, O. and P. Dávila Aranda. 2003. Protected areas and climate change: a case study of the cacti in the TehuacánCuicatlán biosphere reserve, México. Conservation Biology 17:846853. [ Links ]
Téllez Valdés, O., P. Dávila Aranda and R. Lira Saade. (2006). The effects of climate change on the longterm conservation of Fagus grandifolia var. mexicana, an important species of the Cloud Forest in Eastern Mexico. Biodiversity and Conservation 15:10951107. [ Links ]
Téllez Valdés, O., M. A. Hutchinson, H. A. Nix and P. Jones. In press. Desarrollo de coberturas digitales climáticas para México. In Cambio climático y biodiversidad en México. N. P. Pavón, C. Ballesteros Barrera and G. Sánchez Rojas (eds.). Colección Ciencia al Día. Universidad Autónoma del Estado de Hidalgo, Hidalgo, México [ Links ]
Valiente Banuet, A., A. Casas, A. Alcántara, P. Dávila, N. Flores Hernández, M.C. Arizmendi, J. Ortega Ramírez and J. A. Soriano. 2000. La vegetación del Valle de TehuacánCuicatlán. Boletín de la Sociedad Botánica de México 67:2575. [ Links ]
Villa Ramírez, B. and F. A. Cervantes Reza. 2003. Los Mamíferos de México. Interamericana. México, D. F., México. p. 140 and CD. [ Links ]
Villaseñor, J. L., P. Dávila and F. Chiang. 1990. Fitogeografía del Valle de TehuacánCuicatlán. Boletín de la Sociedad Botánica de México 50:135149. [ Links ]
Villaseñor, J. L. and O. Téllez Valdés. 2004. Distribución potencial de las especies del género Jefea (Asteraceae) en México. Anales del Instituto de Biología, Universidad Nacional Autónoma de México, Serie Botánica 75:205220. [ Links ]
Woodward, F .I. 1987. Climate and plant distribution. Cambridge University Press. Cambridge, U.K. 177 p. [ Links ]