Modelado de distribución de especies en los bosques de los andes meridionales
Abstract
The high biodiversity along with a great variety of ecosystems turn Andes Mountain one of the regions of greater environmental diversity of the world, where are the most extreme ranges of types of landscapes, climate and forest formations of the Earth, an area suitable for studying the possible effects of climate change on the spatial distribution of forest formations.
For this it is essential to understand the effects of climate change in the area, where climate observations indicate different climate scenarios in the future, for a current time period and for the period 2040-2069, with variations in temperatures and precipitation. The distribution of forests through predictive modelling is analyzed using MaxEnt’s maximum entropy method. The results indicate that most of the forest formations in the Andean forests analysed are expected to face significant problems in the near future, as a result of the loss of climate suitability in the current area of distribution and the geographic change of potentially suitable areas in the future as reflected in the results.
Keywords: biodiversity, species distribution models, climate change, forests, maximum entropy
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References
ATAROFF, M. and L. SARMIENTO (2003) Diversidad en los Andes de Venezuela. I Mapa de unidades ecológicas del Estado de Mérida. CD-ROM,
BUYTAERT, W. and B. BIEVRE (2012). "Water for cities: The impact of climate change and demographic growth in the tropical Andes." Water Resources Research 48.
BUYTAERT, W., F. CUESTA, et al. (2011). "Potential impacts of climate change on the environmental services of humid tropical alpine regions." Global Ecology and Biogeography 20: 19-33.
CUESTA, F. (2009). Atlas de los Andes del Norte y Centro. J. S. Martínez, M. T. Becerra, F. Cuesta and L. Quiñonez. Perú, Secretaría General de la Comunidad Andina.
DE PANDO, B. B. and J. P. GILES (2007). "Aplicación de modelos de distribución de especies a la conservación de la biodiversidad en el sureste de la Península Ibérica." Geofocus(7): 100-119.
DORADO NÁJERA, A. (2010). ¿Que es la biodiversidad? Una publicación para entender su importancia, su valor y los beneficios que nos aporta. Madrid, Ministerio de Medio Ambiente y Medio Rural y Marino.
ELITH, J., C. H. GRAHAM, et al. (2006). "Novel methods improve prediction of species distribution from occurrence data." Ecography 29: 129-151.
FELICÍSIMO, A., A. CUARTERO, et al. (2012). "Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximun entropy methods: a comparative study." Springer 10(2): 175-189.
FELICÍSIMO, A., A. GÓMEZ, et al. (2005). Potencial distribution of forest species in dehesas of Extremadura (Spain). Advances in GeoEcology. S. Schnabel and A. Ferreira. Reiskirchen, Catena Verlag. 37: 231-246.
FELICÍSIMO, A., J. MUÑOZ, et al. (2011). Bosques y cambio global. España - México. Madrid, CYTED.
FERRIER, S. and A. GUISAN (2006). "Spatial modelling of biodiversity at the community level." Journal of Applied Ecology 43(3): 393-404.
GARCÍA-ROMERO, A., J. MUÑOZ, et al. (2009). "Relationship between climate change ang vegetation distribution in the Mediterranean mountains: Manzanares Head valley, Sierra De Guadarrama (Central Spain)." Springer Science 100 (3-4): 645-666.
GREEN, J. L. and A. OSTLING (2003). "Endemics-area relationships: The influence of species dominance and spatial aggregation." Ecology 84(11): 3090-3097.
HERNÁNDEZ, P. A., C. H. GRAHAM, et al. (2006). "The effect of sample size and species characteristics on performance of different species distribution modeling methods." Ecography 29: 773-785.
HIJMANS, R. J., S. E. CAMERON, et al. (2005). "Very high resolution interpolated climate surfaces for global land areas." International Journal of Climatology 25: 1965-1978.
HIRZEL, A. and A. GUISAN (2002). "Which is the optical sampling strategy for hábitat suitability modelling." Ecological Modelling 157(2-3): 331-341.
JAYNES, E. T. (1957). "Information Theory and Statistical Mechanics." Physical Review 106(4): 620-630.
JENSEN, M., P. BOURGERON, et al. (1994). Scientific information required to prescribe for sustainable ecosystems. Porttland, US Dept. of Agriculture, Forest Service.
LOPEZ BERMÚDEZ, F. (2000). "Impactos regionales del Cambio Climático. Valoracion de la vulnerabilidad." Papeles de Geografía 32: 77-95.
MENGES, E. S. (2000). "Population viability analyses in plants: challenges and opportunities." Trends Ecol 15: 51-55.
MUJICA BARREDA, E. and M. HOLLE (1998). Los Andes y la transformación cutural del paisaje. Paisajes Culturales en los Andes, Peru, UNESCO.
MUÑOZ, J. and A. FELICÍSIMO (2004). "Comparison of statistical methods commonly used in predictive modelling." Journal of Vegetation Science 15(2): 285-292.
NAKICENOVIC, N., O. DAVISON, et al. (2000). Escenarios de emisiones. Informe especial del grupo de trabajo III del IPCC. G. I. s. e. c. climático, Interguvernmental Panel on Climate Change
NAVARRO, G. and W. FERREIRA (2007) Mapa de vegetación de Bolivia a escala 1:250.000. The Nature Conservancy
OLDEMAN, I. R. (1988). An Agroclimatic Characterization of Madagascar, International Soil Reference and Information Centre.
PARMESAN, C. (2006). "Ecological and evolutionary responses to recent climate change." The Annual Review of Ecology 37: 637-669.
PERALVO, M., R. Sierra, et al. (2007). "Identification of biodiversity conservation priorities using predictive modelling: An application for the equatorial pacific region of South America." Biodiversity and Conservation 16(9): 2649-2675.
PHILLIPS, S. J., R. P. ANDERSON, et al. (2006). "A maximum entropy modelling of species geographic distributions." Ecological Modelling 190: 231-259.
ROOT, T. L., D. P. MACMYNOWSKI, et al. (2005). "Human-modified temperatures induce species changes: Joint attribution." Proceeding of the National Academy of Sciences (PNAS) 102: 7465-7469.
STORCH, D., P. KEIL, et al. (2012). "Universal species-area and endemics-area relationships at continental scales." Nature 488(7409): 78-83.
THUILLER, W., C. ALBERT, et al. (2008). "Predicting global change impacts on plant species distributions: Future challenges." Perspectives in Plant Ecology Evolution and Systematics 9(137-152).
TOVAR, C., C. A. ARNILLAS, et al. (2013). "Diverging Responses of Tropical Andean Biomes under Climate Conditions." Plos One 8(5): 1-11.
VAUGHAN, I. P. and S. J. ORMEROD (2003). "Improving the quality of distribution models for conservation by addressing shortcomings in the field collection of training data." Conservation Biology 17(6): 1601-1611.
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