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      Disponibilidad de hábitats adecuados para especies de mamíferos a escalas regional (estado de Guerrero) y nacional (México) Translated title: Suitable habitat availability for mammals at regional (State of Guerrero) and national (Mexico) scales

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          Abstract

          Guerrero es el cuarto estado más biodiverso en México, incluyendo 930 especies de vertebrados en su territorio. Sin embargo, ha mostrado una pérdida significativa de hábitats naturales originales. Se hace evidente la necesidad de generar información sobre los procesos involucrados en pérdida de hábitats naturales, así como identificar los impactos que tienen tales pérdidas sobre la distribución de especies. Se generaron modelos de la distribución potencial del hábitat adecuado para 47 especies, mediante la aplicación del método MaxEnt para la predicción de su distribución geográfica y se refinaron, a su vez, a modelos de la distribución actual de hábitats adecuados. Se analizó la relación entre la amplitud de la distribución potencial de hábitats adecuados y la proporción de hábitat natural remanente para cada especie, tanto a nivel estatal (Guerrero) como nacional (México), y se identificaron zonas de Guerrero necesarias para alcanzar metas fijas de conservación de las especies. Los resultados no mostraron una correlación significativa entre la amplitud de la distribución potencial de hábitats adecuados de las especies y las áreas remanentes de hábitats originales a nivel estatal o nacional. De hecho, existen diferencias significativas en las proporciones de hábitat remanente entre ambas escalas. Esto sugiere que la escala es un factor importante para establecer estrategias de conservación para las mismas especies a nivel local, regional o nacional.

          Translated abstract

          The State of Guerrero is ranked fourth in terms of biodiversity in Mexico, including 930 vertebrate species in its territory. However, Guerrero shows significant loss of its original natural habitats. It is evident the need to generate information on the processes involved in loss of natural habitats and to identify the impact on the distribution of species. We modeled the potential distribution of suitable habitat for 47 species of mammals using MaxEnt, and those were further refined to produce models of the current distribution of suitable habitats. The relationship between the amplitude of the potential distribution of suitable habitats and the proportion of remaining natural habitat for each species were examined, both at the state (Guerrero) and nationwide levels (Mexico), and there were identified areas of Guerrero needed to achieve fixed conservation goals. The results showed no significant correlation between the amplitude of species potential distribution of suitable habitats and species distributions of remaining areas of original habitat, neither at the state or national scales. In fact, there are significant differences in the proportions of remaining habitat between the 2 scales, suggesting that scale is an important factor in establishing conservation strategies for the same species at local, regional or national scales.

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          Most cited references106

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          Spatial prediction of species distribution: an interface between ecological theory and statistical modelling

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            On the relationship between niche and distribution

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              Niches, models, and climate change: assessing the assumptions and uncertainties.

              As the rate and magnitude of climate change accelerate, understanding the consequences becomes increasingly important. Species distribution models (SDMs) based on current ecological niche constraints are used to project future species distributions. These models contain assumptions that add to the uncertainty in model projections stemming from the structure of the models, the algorithms used to translate niche associations into distributional probabilities, the quality and quantity of data, and mismatches between the scales of modeling and data. We illustrate the application of SDMs using two climate models and two distributional algorithms, together with information on distributional shifts in vegetation types, to project fine-scale future distributions of 60 California landbird species. Most species are projected to decrease in distribution by 2070. Changes in total species richness vary over the state, with large losses of species in some "hotspots" of vulnerability. Differences in distributional shifts among species will change species co-occurrences, creating spatial variation in similarities between current and future assemblages. We use these analyses to consider how assumptions can be addressed and uncertainties reduced. SDMs can provide a useful way to incorporate future conditions into conservation and management practices and decisions, but the uncertainties of model projections must be balanced with the risks of taking the wrong actions or the costs of inaction. Doing this will require that the sources and magnitudes of uncertainty are documented, and that conservationists and resource managers be willing to act despite the uncertainties. The alternative, of ignoring the future, is not an option.
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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                rmbiodiv
                Revista mexicana de biodiversidad
                Rev. Mex. Biodiv.
                Instituto de Biología (México )
                2007-8706
                2015
                : 86
                : 1
                : 226-237
                Affiliations
                [1 ] Universidad Nacional Autónoma de México Mexico
                [2 ] Conservación Biológica y Desarrollo Social, A. C. MX
                [3 ] Universidad Nacional Autónoma de México Mexico
                Article
                S1870-34532015000100226
                10.7550/rmb.43353
                47d4dcdf-7a4e-4013-bae4-0f940012cdab

                http://creativecommons.org/licenses/by/4.0/

                History
                Categories
                Biodiversity Conservation

                Animal science & Zoology
                Conservation,Biodiversity,Potential distribution,Species richness,Conservación,Biodiversidad,Distribución potencial,Riqueza específica

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