Modeling the Effect of Climate Change on the Distribution of Oak and Pine Species of Mexico
- 18 December 2007
- journal article
- Published by Wiley in Conservation Biology
- Vol. 21 (6), 1545-1555
- https://doi.org/10.1111/j.1523-1739.2007.00814.x
Abstract
We examined the vulnerability of 34 species of oaks (Quercus) and pines (Pinus) to the effects of global climate change in Mexico. We regionalized the HadCM2 model of climate change with local climatic data (mean annual temperature and rainfall) and downscaled the model with the inverse distance-weighted method. Databases of herbaria specimens, genetic algorithms (GARP), and digital covers of biophysical variables that affect oaks and pines were used to project geographic distributions of the species under a severe and conservative scenario of climate change for the year 2050. Starting with the current average temperature of 20.2 degrees C and average precipitation of 793 mm, under the severe warming scenario mean temperature and precipitation changed to 22.7 degrees C and 660 mm, respectively, in 2050. For the conservative warming scenario, these variables shifted to 21.8 degrees C and 721 mm. Responses to the different scenarios of climate change were predicted to be species-specific and related to each species climate affinity. The current geographic distribution of oaks and pines decreased 7-48% and 0.2-64%, respectively. The more vulnerable pines were Pinus rudis, P. chihuahuana, P. oocarpa, and P. culminicola, and the most vulnerable oaks were Quercus crispipilis, Q. peduncularis, Q. acutifolia, and Q. sideroxyla. In addition to habitat conservation, we think sensitive pine and oak species should be looked at more closely to define ex situ strategies (i.e., seed preservation in germplasm banks) for their long-term conservation. Modeling climatic-change scenarios is important to the development of conservation strategies.Keywords
This publication has 38 references indexed in Scilit:
- Ecological and Evolutionary Responses to Recent Climate ChangeAnnual Review of Ecology, Evolution, and Systematics, 2006
- Uncertainty analysis of statistical downscaling methodsJournal of Hydrology, 2006
- Sensitivity of canopy transpiration to altered precipitation in an upland oak forest: evidence from a long‐term field manipulation studyGlobal Change Biology, 2005
- Climate change may already threaten Scots pine stands in the Swiss AlpsTheoretical and Applied Climatology, 2004
- Extinction risk from climate changeNature, 2004
- Likely effects of climate change on growth of Quercus ilex, Pinus halepensis, Pinus pinaster, Pinus sylvestris and Fagus sylvatica forests in the Mediterranean regionForest Ecology and Management, 2002
- Constructing Site-Specific Climate Change Scenarios on a Monthly Scale Using Statistical DownscalingTheoretical and Applied Climatology, 2000
- The GARP modelling system: problems and solutions to automated spatial predictionInternational Journal of Geographical Information Science, 1999
- A review of methods for the assessment of prediction errors in conservation presence/absence modelsEnvironmental Conservation, 1997