Climate change impact predictions on Pinus patula and Pinus tecunumanii populations in Mexico and Central America

Climate change is likely to have a negative impact on natural populations of Pinus patula and Pinus tecunumanii, two globally important tree species in plantation forestry. The objective of this work was to evaluate the impact of climate change on the persistence of the natural populations of these species at their actual locations in order to take appropriate conservation measurements. A common approach to assess the impact of climate change on species natural distributions is climate envelope modeling (CEM). CEMs suggest significant impacts of climate change on the natural distribution of the two pine species, but their predictions contain considerable uncertainty related to the adaptive ability of tree populations to withstand future climate conditions. We assessed the adaptive ability of the two pine species based on the evaluations of provenance trials and used the results of these field trials to validate CEM impact assessment studies on provenance collection sites in the wild. The two pine species performed well in a wide range of climates, including conditions that were recorded by CEM as unsuitable for natural pine occurrence. The climate conditions where the two pine species naturally occur are predicted to become in the future more similar to the present climate of some areas where they are successfully established in field trials. These findings suggest that these pine species are in their natural habitat better adapted to climate change than CEM predicts. For the most vulnerable species, P. tecunumanii, human disturbances such as fragmentation from urbanization and conversion to agriculture that are occurring today are more urgent threats requiring action compared to the threat from climate change.

[1]  S. Saatchi,et al.  Predicting geographical distribution models of high-value timber trees in the Amazon Basin using remotely sensed data , 2008 .

[2]  A. Townsend Peterson,et al.  Novel methods improve prediction of species' distributions from occurrence data , 2006 .

[3]  L. López-Mata,et al.  The Pines of Mexico and Central America , 1991 .

[4]  Kitt G. Payn,et al.  The conservation and breeding of Eucalyptus urophylla: a case study to better protect important populations and improve productivity , 2008 .

[5]  James S. Clark,et al.  MOLECULAR INDICATORS OF TREE MIGRATION CAPACITY UNDER RAPID CLIMATE CHANGE , 2005 .

[6]  M. Sykes,et al.  Predicting global change impacts on plant species' distributions: Future challenges , 2008 .

[7]  W. Dvorak,et al.  Genetic parameters and provenenance variation of Pinus caribaea var. hondurensis in 48 international trials , 2001 .

[8]  J. Koskela,et al.  How well can existing forests withstand climate change , 2007 .

[9]  W. Thuiller,et al.  Predicting species distribution: offering more than simple habitat models. , 2005, Ecology letters.

[10]  S. Lavorel,et al.  Biodiversity conservation: Uncertainty in predictions of extinction risk , 2004, Nature.

[11]  Ole R. Vetaas,et al.  Realized and potential climate niches: a comparison of four Rhododendron tree species , 2002 .

[12]  E. Zavaleta Shrub establishment under experimental global changes in a California grassland , 2006, Plant Ecology.

[13]  KOVÁ,et al.  Novel methods , 2006, Biologia Plantarum.

[14]  A. Peterson,et al.  New developments in museum-based informatics and applications in biodiversity analysis. , 2004, Trends in ecology & evolution.

[15]  G. Rehfeldt,et al.  Intraspecific responses to climate in Pinus sylvestris , 2002 .

[16]  John E. Kutzbach,et al.  Projected distributions of novel and disappearing climates by 2100 AD , 2006, Proceedings of the National Academy of Sciences.

[17]  Allison J. Miller,et al.  GIS-based characterization of the geographic distributions of wild and cultivated populations of the Mesoamerican fruit tree Spondias purpurea (Anacardiaceae). , 2006, American journal of botany.

[18]  M. Araújo,et al.  Validation of species–climate impact models under climate change , 2005 .

[19]  Catherine H. Graham,et al.  A comparison of methods for mapping species ranges and species richness , 2006 .

[20]  W. Dvorak,et al.  Genotype by environment interaction for volume growth at 6 years of age in a series of five Pinus patula progeny trials in southern Africa , 2003 .

[21]  R. Neilson,et al.  Estimated migration rates under scenarios of global climate change , 2002 .

[22]  R. Shaw,et al.  Range shifts and adaptive responses to Quaternary climate change. , 2001, Science.

[23]  C. Sáenz-Romero,et al.  Conservation and Restoration of Pine Forest Genetic Resources in México , 2003 .

[24]  J. A. Vozzo Tropical tree seed manual. , 2002 .

[25]  W. Dvorak,et al.  Genetic parameters and provenance variation of Pinus tecunumanii in 78 international trials. , 1999 .

[26]  G. Rehfeldt,et al.  Altitudinal genetic variation among Pinus oocarpa populations in Michoacán, Mexico: Implications for seed zoning, conservation, tree breeding and global warming , 2006 .

[27]  S. Yeaman,et al.  Adaptation, migration or extirpation: climate change outcomes for tree populations , 2008, Evolutionary applications.

[28]  M. Araújo,et al.  How Does Climate Change Affect Biodiversity? , 2006, Science.

[29]  J. Ragle,et al.  IUCN Red List of Threatened Species , 2010 .

[30]  J. Koskela,et al.  Climate change and forest genetic diversity: implications for sustainable forest management in Europe. , 2007 .

[31]  P. Marquet,et al.  A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century , 2008, Science.

[32]  K. Kramer Resilience of European forests: towards a non-equilibrium view for the management of diversity , 2007 .

[33]  Luigi Guarino,et al.  Using GIS to check co-ordinates of genebank accessions , 1999, Genetic Resources and Crop Evolution.

[34]  J. Svenning,et al.  Limited filling of the potential range in European tree species , 2004 .

[35]  M. G. Ryan,et al.  Tree and forest functioning in response to global warming. , 2001, The New phytologist.

[36]  J. Hamrick,et al.  Response of forest trees to global environmental changes , 2004 .

[37]  D. Spittlehouse,et al.  GENETIC RESPONSES TO CLIMATE IN PINUS CONTORTA: NICHE BREADTH, CLIMATE CHANGE, AND REFORESTATION , 1999 .

[38]  J. D. Simpson Vozzo, J. A. (ed.) Tropical tree seed manual , 2004 .

[39]  J. Busby BIOCLIM - a bioclimate analysis and prediction system , 1991 .

[40]  W. Kurz,et al.  Mountain pine beetle and forest carbon feedback to climate change , 2008, Nature.

[41]  David R. B. Stockwell,et al.  Forecasting the Effects of Global Warming on Biodiversity , 2007 .

[42]  Alexei G. Sankovski,et al.  Special report on emissions scenarios , 2000 .

[43]  C. Dormann Promising the future? Global change projections of species distributions , 2007 .

[44]  J. Koskela Responses of gas exchange and growth in Merkus pine seedlings to expected climatic changes in Thailand , 2001 .

[45]  T. Dawson,et al.  Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? , 2003 .

[46]  S. Schneider,et al.  Climate Change 2007 Synthesis report , 2008 .

[47]  Robert P. Anderson,et al.  Maximum entropy modeling of species geographic distributions , 2006 .

[48]  A. Prasad,et al.  Estimating potential habitat for 134 eastern US tree species under six climate scenarios , 2008 .

[49]  Hong S. He,et al.  Predicting the distributions of suitable habitat for three larch species under climate warming in Northeastern China , 2008 .

[50]  J. L. Parra,et al.  Very high resolution interpolated climate surfaces for global land areas , 2005 .

[51]  P. Fulé,et al.  Fire ecology of Mexican pines and a fire management proposal , 2003 .

[52]  J. Régnière,et al.  Assessing the Impacts of Global Warming on Forest Pest Dynamics , 2022 .

[53]  L. Gómez-Mendoza,et al.  Modeling the Effect of Climate Change on the Distribution of Oak and Pine Species of Mexico , 2007, Conservation biology : the journal of the Society for Conservation Biology.

[54]  C. Margules,et al.  Nature Conservation: Cost Effective Biological Surveys and Data Analysis , 1990 .

[55]  R. F. Billings,et al.  Bark beetle outbreaks and fire: A devastating combination for Central America's pine forests , 2004 .

[56]  Antoine Guisan,et al.  Are niche-based species distribution models transferable in space? , 2006 .