Habitats modelling in Pinus caribaea var. caribaea Barrett and Golfari and Pinus tropicalis Morelet

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Published: Feb 27, 2018
Keywords:
P. tropicalis, P. caribaea, modelling potential habitats, MaxEnt.

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Yordani Crespo Martínez
Universidad de Pinar del Río

Abstract

The aims of this study was to model the potencial habitats of P. caribaea and P. tropicalis using the Max Ent algorithm based on the relation between presence data and climatological data from a global climatic model or observed climatic serie (1981-2010). 258 and 1 381 natural stand were georeferenced as a presence data. The precipitation regimen was most important factor for both species. The potential suitable areas agree with the current densest areas for both species, but not for the planted areas in P. caribaea. The approximated potential areas with a higher presence probability (0.6) in P. caribaea was 26 900 ha for the observed data; whereas for P. tropicalis was around 88 200 ha. Besides, these models clearly shown that the potential habitats laid on the western of Cuba, exclusively in Pinar del Río.

Article Details

How to Cite
Crespo Martínez, Y. (2018). Habitats modelling in Pinus caribaea var. caribaea Barrett and Golfari and Pinus tropicalis Morelet. Forestry and Environmental Sciences, 3(1), 89–113. Retrieved from https://cifam.upr.edu.cu/index.php/cifam/article/view/105
Issue
Vol. 3 No. 1 (2018): January-june
Section
Scientific Original Article

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References

Álvarez-Brito, A., Mercadet-Portillo, A. (2014). El sector forestal cubano y el cambio climático. Instituto de Investigaciones Agroforestales. Ministerio de la Agricultura. Anales de la Academia de Ciencias de Cuba, 4(2), 11.

Anderson, R. P., Lew, D., & Townsend Peterson, A. (2003). Evaluating predictive models of species distributions: criteria for selecting optimal models. Ecological Modelling, 162(3), 211-232. https://doi.org/10.1016/S0304-3800(02)00349-6.

Araújo, M. B., & Guisan, A. (2006). Five (or so) challenges for species distribution modelling. Journal of Biogeography, 33(10):16771688. https://doi.org/10.1111/j.1365-2699.2006.01584.x.

Ávila-Coria, R., Villavicencio García, R., Ruiz Corral, J. A. (2014). Distribución potencial de Pinus herrerae Martínez en el Occidente del estado de Jalisco. Revista Mexicana de Ciencias Forestales, 5(24), 93-108.

Barbolla, L. J., Delgado-Valerio, P., Geada-López, G., Vázquez-Lobo, A., Piñero, D. (2011). Phylogeography of Subsection Australes pines in the Caribbean basin. Annals of Botany, 107(2), 229-241. https://doi.org/10.1093/aob/mcq232

Borhidi, A. (1996). Phytogeography and vegetation ecology of Cuba. 28(1). Budapest: Akademiai kiado. Recuperado a partir de https://link.springer.com/content/pdf/10.1007%2FBF02853198.pdf

Centella-Artola, A., Llanes-Regueiro, J., Paz-Castro, L., López, C., Limia-Martínez, M. (2001). Primera Comunicación Nacional a la Convención Marco de las Naciones Unidas sobre Cambio Climático, República de Cuba (p. 166). La Habana, Cuba: Instituto de Meteorología-CUBAENERGIA. Recuperado a partir de http://unfccc.int/resource/docs/natc/cubnc1.pdf

Cobos Cobos, M. E. (2016, marzo 11). Posibles implicaciones del cambio climático sobre la distribución de las especies del género Peltophryne (Anura: Bufonidae) en Cuba (Tesis de maestría). La Habana, Cuba. Recuperado a partir de http://repositorio.educacionsuperior.gob.ec/handle/28000/2470, http://repositorio.educacionsuperior.gob.ec/bitstream/28000/2470/1/T-SENESCYT-01321.pdf

Contreras-Medina, R., Luna Vega, I., Ríos Muñoz, C. A. (2010). Distribución de Taxus globosa (Taxaceae) en México: Modelos ecológicos de nicho, efectos del cambio del uso de suelo y conservación. Revista Chilena de Historia Natural, 83, 421-433.

Cutié-Cancino, V., Lapinel-Pedroso, B., Gonzáles-Rodríguez, N., Perdigón-Morales, J., Fonseca-Rivera, C., Gonzáles-García, I. (2013). La sequía en Cuba, un texto de referencia. Monografía. Proyecto 1/OP-15/GEF. La Habana, Cuba: Instituto de Meteorología.

Elith, J., Graham, C. H., Anderson, R. P., Dudík, M., Ferrier, S., Guisan, A., Huettmann, F. (2006). Novel methods improve prediction of species' distributions from occurrence data, 29(2), 129-151. https://doi.org/10.1111/j.2006.0906-7590.04596.x

Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y. E., Yates, C. J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 4357. https://doi.org/10.1111/j.1472-4642.2010.00725.x

Fong Grillo, A. (2008). Distribución y conservación de los anfibios de los macizos montañosos de la región oriental de Cuba (Tesis doctoral). Universidad Complutense de Madrid Facultad de Ciencias Biológicas, biología vegetal I, Madrid, España.

Geada López, G., Kamiya, K., Harada, K. (2002). Phylogenetic relationships of Diploxylon pines (Subgenus Pinus) based on plastid sequence data. International Journal of Plants Science, 163(5), 737-747. https://doi.org/10.1086/342213

Gernandt, D. S., Geada López, G., Ortiz García, S., Liston, A. (2005). Phylogeny and classification of Pinus. International Association for Plant Taxonomy (IAPT), Taxon, 54(1), 29-42. https://doi.org/10.2307/25065300

Guisan, A., Thuiller, W. (2005). Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8(9), 9931009. https://doi.org/10.1111/j.1461-0248.2005.00792.x

Hanley, J. A., McNeil, B. J. (1982). The meaning and use of the area under a Receiver Operating Characteristic (ROC) curve. Radiology, 143(1), 29-36.

J. Hijmans, R., Guarino, L., Bussink, C., Mathur, P., Cruz, M., Barrantes, I., Rojas, E. (2004). Sistema de Información Geográfica para el Análisis de Datos de Distribución de Especies. Universidad de California. USA: DIVA-GIS, Versión 4. Recuperado a partir de http://www.diva-gis.org/docs/DIVA-GIS4_manual_Esp.pdf

Jiménez-Valverde, A., M. Lobo, J., Hortal, J. (2008). Not as good as they seem: the importance of concepts in species distribution modelling. Diversity and Distributions, 14(6), 885890. https://doi.org/10.1111/j.1472-4642.2008.00496.x

Karmalkar, A. V., Taylor, M. A., Campbell, J., Stephenson, T., New, M., Centella, A., Charlery, J. (2013). A review of observed and projected changes in climate for the islands in the Caribbean. (edited by H. Diaz). Atmósfera, 26(2). Recuperado a partir de http://www.revistascca.unam.mx/atm/index.php/atm/article/view/36417

Kumar, S., Stohlgren, T. J. (2009). Maxent modeling for predicting suitable habitat for threatened and endangered tree Canacomyrica monticola in New Caledonia. Journal of Ecology and Natural Environment, 14, 94-98.

Ledig, F. T. (2012). Climate change and conservation. Acta Silvatica et Lignaria Hungarica, 8, 5774.

Ledig, F. T., Rehfeldt, G. E. C., Sáenz-Romero, Flores-López, C. (2010). Projections of suitable habitat for rare species under global warming scenarios. American Journal of Botany, 97(6), 970-987.

Miranda-Sierra, C. A., Geada-López, G., Sotolongo-Sospedra, R. (2016). Modelación de la distribución potencial de Pinus tropicalis en el Occidente de Cuba. Avances, 18, enero-marzo (1), 28-35.

Narkis-Morales, S. (2012). Modelos de distribución de especies: Software Maxent y sus aplicaciones en Conservación. Revista Conservación Ambienta, 2(1), 1-5.

Palma-Ordas, S., Delgadillo-Rodríguez, J. (2007). Distribución potencial de ocho especies exóticas de carácter invasor en el estado de Baja California, México. Botanical Sciences, 92(4), 587-597.

Phillips, S., Dudik, M. (2010). Una breve guía didáctica sobre MaxEnt. AT&T. Princeton University y el Centro para la Biodiversidad y Conservación del Museo Americano de Historia Natural. Recuperado a partir de http://manualzz.com/doc/21178397/una-breve-gu%C3%ADa -did%C3%A1ctica-sobre-maxent—por-steven-phillip...

Phillips, S. J., Dudik, M., Schapire, R. E. (2004). A maximum entropy approach to species distribution modeling. En Proceedings of the 21st International Conference on Machine Learning (pp. 655-662). Banff, Canadá. Recuperado a partir de https://dl.acm.org/citation.cfm?id=2856767&picked=prox

Phillips, S. J., Dudik, M., Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026

Piloto, J. A. (2015). Variación anatómica de Pinus caribaea var. caribaea Barrett y Golfari y Pinus tropicalis Morelet (Tesis de Diploma). Pinar del Río.

Planos Gutiérrez, E. O., Guevara Velazco, A. V., Rivero Vega, R., Pérez Suárez, R., Centella Artola, A. (2013). Impacto del cambio climático y medidas de adaptación en Cuba. La Habana, Cuba: Instituto de Meteorología, Agencia de Medio Ambiente, Ministerio de Ciencia, Medio Ambiente y Tecnología. Recuperado a partir de http://www.revistaccuba.cu/index.php/acc/article/download/387/318

Rundel, A. (1998). Ecology and biogeography of Pinus: and introduction. En D. M. Richardson, Ecology and Biogeography of Pinus (pp. 3-46). Cambridge.UK, USA: Cambridge University Press. Recuperado a partir de http://mfkp.org/INRMM/article/13504288

Saunders, D. A., Hobbs, R. J., Margules, C. R. (1991). Biological consequences of ecosystem fragmentation: A review. Conservation Biology, 5(1), 18-32. https://doi.org/10.1111/j.1523-1739.1991.tb00384.x

Silva, L., Dias, E., Sardos, J., Azevedo, E., Schaefer, H., Moura, M. (2015). Towards a more holistic research approach to plant conservation: the case of rare plants on oceanic islands. AoB Plants, 7(1). https://doi.org/10.1093/aobpla/plv066

Téllez, V., O., Chabes H, Y. M., Gómez-Tagle, C., A., Gutiérrez G, M. V. (2005). Modelado bioclimático como herramienta para el manejo forestal. Revista de Ciencias Forestales México, 29(95), 61-82.

VanDerWal, J., Shoo, L. P., Johnson, C. N., Williams, S. E. (2009). Abundance and the environmental niche: Environmental suitability estimated from niche models predicts the upper limit of local abundance. The American Naturalist, 174(2), 282-291. https://doi.org/10.1086/600087

Whittaker, R. J., Fernández-Palacios, J. (1998). Island Biogeography: ecology, evolution and conservation. New York, USA: Oxford University Press. Recuperado a partir de https://global.oup.com/academic/product/island-biogeography-9780198566120?cc=cu&lang=en&