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Title

Disparity in the climatic sensitivity across altitudinal and latitudinal gradients imply differential forecasted growth through Scots pine distribution range

AuthorsMatías Resina, Luis; Linares, J. C.; Sánchez-Miranda, A.; Jump, Alistair S.
Issue Date31-Jan-2017
PublisherAsociación Española de Ecología Terrestre
CitationAbstract book of the XIV MEDECOS & XIII AEET meeting, pág. 118 (2017 )
AbstractOngoing changes in global climate are altering ecological conditions for many species. The consequences of such changes are typically most evident at distribution edges, where differences in growth or population dynamics may result in range expansions or contractions. Understanding population responses to different climatic drivers along wide geographical gradients is necessary in order to gain a better understanding on the plant responses to the ongoing changes in climate. We selected Scots pine (Pinus sylvestris) to explore growth responses to climatic variability over the last Century through dendrochronological methods, and performed predictive models to forecast growth trends up to year 2100 using climatic projections. Populations were located at the treeline across a latitudinal gradient covering the northernmost, central and southernmost populations and across an altitudinal gradient at the rear edge of the distribution (higher, central and lowermost elevations). Predictive models forecast a general increase in Scots pine growth at treeline across the latitudinal distribution, with southern populations increasing growth up to year 2050, when it stabilises, highest responsiveness at central latitude, reaching similar values to the southern populations by 2100, and moderate growth increase at the northernmost limit. Contrastingly, growth decline is expected at lowland-southern populations, suggesting an upslope range displacement on the coming decades. The results give us a better resolution about the geographical responses of tree species to climate change and demonstrate the importance of incorporating this variability into predictive models for an accurate prediction of species dynamics under a global change scenario.
DescriptionComunicación oral presentada en the XIV MEDECOS & XIII AEET meeting, Seville, Spain, 31st January - 4th February 2017
Publisher version (URL)http://www.medecos-aeet-meeting2017.es/
URIhttp://hdl.handle.net/10261/154507
DOI10.7818/MEDECOSandAEETCongress.2017
Appears in Collections:(IRNAS) Comunicaciones congresos

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