An analysis of growth simulation and yield prediction of Olea Europea against GISS-E2-1-G climate projections for the 21st Century

A new, open dataset for use in the WOFOST model in order to project changes in the yield of the Olea Europea (perennial olive tree) when forced against various climate projections, downscaled from the GISS-E2-1-G global climate model using the RClimchange package, over the next century. This dataset contains Leaf Area Index (LAI), Soil Moisture content, Soil Bulk Density, CO2 and Light use efficiency parameters, and Soil Nitrate, Potassium and Phosphate content for a variety of tree sample sites (all of which have been geo-referenced) across a Mallorcan commercial olive grove. This dataset has also been produced with the potential that it may be utilised in future studies concerning Olea Europea in Mediterranean Environments. Assistance in data collection was provided by Durham University Geography Department and the University of the Balaerics.