Monterrey, Mexico
Monterrey, Mexico
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Leal-Nares O.,Especies | Mendoza M.E.,National Autonomous University of Mexico | Perez-Salicrup D.,National Autonomous University of Mexico | Geneletti D.,University of Trento | And 3 more authors.
Revista Mexicana de Biodiversidad | Year: 2012

The modeling of potential and current distribution of species has become a very active research area. Generally, modeling is based on the concept of ecological niche, and is supported by the use of computer programs. The main objective of this project was to develop a potential distribution model of Pinus martinezii in the Cuitzeo Lake basin using data of environmental variables, and presence of the target species. To this purpose, the environmental factors that determine the distribution of P. martinezii were identified, and a bioclimatic profile of the species was made. The modeling was based on a spatial multicriteria analyisis. The attributes were grouped into 3 criteria: geopedologic, morphometric and climatic conditions. The resulting potential distribution map showed that there are 2 main areas of potential distribution of P. martinezii, and some isolated areas where populations have not been found. The spatial model is an important tool for planning conservation and reforestation efforts, as well as to plan additional field surveys and identifying sites where the specie can be reintroduced.

Moreno-Talamantes A.,Especies | Roszkowska M.,Adam Mickiewicz University | Roszkowska M.,Amazonian State University | Guayasamin P.R.,Amazonian State University | And 3 more authors.
Check List | Year: 2015

In this paper we provide the first record of the eutardigrade Dactylobiotus parthenogeneticus Bertolani, 1982 from Mexico (North America). Our report increases the range of this species and the number of tardigrade species known from Mexico to 43 taxa. © 2015 Check List and Authors.

The representativeness of the inventory of shrub species of a natural protected area in Coahuila, Mexico was analyzed, with the following objectives: to describe the types of sampling bias; to define the environmental heterogeneity of the botanical records; to determine the level of spatial resolution that supports the information collected. Biases were significant (χ2 = distance road 199.01; p< 0.01, by altitudinal range χ2 = 391.02; p< 0.01 and vegetation χ2 = 518.13; p< 0.01). The inventory sample exhibits significant differences between the control group and a randomized design for 5 bioclimatic variables (mean annual temperature (Bio1): U = 117,900; p< 0.01; isothermality (Bio3): U = 189.650, p< 0.01; precipitation wettest month (Bio13): U = 134.330, p< 0.01; seasonality of precipitation (Bio15): U = 175.720, p< 0.01 and precipitation of the coldest quarter (Bio19): U = 146.550, p< 0.01). Environmental variables and road distances, on the coverage of this infrastructure in the area, can contribute to a good characterization of the ANP. The information from collected records is adequate for small scales of analysis (1 and 0.5°). © 2015 Universidad Nacional Autonoma de Mexico, Instituto de Biologia.

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