Poster Open Access

PREDICTED SEED WEIGHT DISTRIBUTIONS OF PINUS SYLVESTRIS L. IN RUSSIA IN A WARMING CLIMATE DURING THE 21TH CENTURY

Parfenova Elena; Tchebakova Nadezhda

Our goal was to construct a bioclimatic  regression model relating seed weight as a key trait of seed quality of Scots pine (Pinus sylvestris L.) and climate factors; to apply it to predicting seed weight distributions over Russia in altered climates by 2100 modeled with twenty CMIP5 climate models and two scenarios RCP 2.6 (moderate) and RCP 8.5 (extreme).

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