Potential reduction of Hartweg´s Pine (Pinus hartwegii Lindl.) geographic distribution

PLoS One. 2020 Feb 18;15(2):e0229178. doi: 10.1371/journal.pone.0229178. eCollection 2020.

Abstract

Geographical distribution of forest species is closely regulated by environmental conditions, particularly temperature and precipitation. Climate change predicted by general circulation models is expected to modify the distribution of many species' distribution, especially those adapted to extreme environmental conditions, leading to large-scale migrations or local extinctions. The aim of this research was to determine the potential impact of climatic change on Pinus hartwegii geographic distribution and the niche breadth of its populations. Ecological niche models were used by generated with four different algorithms based on 19 bioclimatic variables in addition to altitude. Climatic niche breadth was delimited by the dispersion of species occurrence records within the intervals of the bioclimatic variables. We modelled future distribution based on three general circulation models, MIROC-ESM-CHEM, CCSM4 and HadGEM2-ES, using two representative concentration pathways (RCP) 2.6 and 8.5, for two-time horizons 2050 and 2070. Niche breadth analysis showed narrow ranges of suitability, indicating a strong relationship between the presence of P. hartwegii with the temperature of the warmest quarter and precipitation of the coldest quarter. In addition, the suitability area of P. hartwegii is predicted to be reduced up to 70% by 2070; the populations of the extreme northern and southern latitudes will be reduced in greater proportion than those of central Mexico. This suggest that environmental suitability area of P. hartwegii are reduced by the effect of the increase in environmental temperature. Therefore, it is necessary to monitor extreme populations of this species in the long term in order to establish efficient conservation strategies and well adaptive management facing climate change.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Climate Change
  • Geography*
  • Models, Statistical
  • Pinus*

Grants and funding

This work was funded by the Consejo Nacional de Ciencia y Tecnología (CONACYT), basic science project number 219696 (https://www.conacyt.gob.mx/) to MPS and the PhD scholarship number 543046/292688 received by FUAR. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.