Objective
Explanation of variability in crop responses to climate change characteristics such as increased carbon dioxide and
temperature.
Observed responses of crop yields to climate changes, as they are obtained in a number of experimental programs such as
CROPCHANGE, CLAIRE and ESPACE-WHEAT, appear to vary
considerably from site to site, season to season, and crop to crop. It is important to better understand the causes of this variability if we are to give a sound and reliable prognosis of the impact of climatic change on future crop yields. By
experiments alone the origin of the differences is hard to
unravel. Therefore process oriented models for crop growth
will be included in the analysis to obtain a deeper and more reliable understanding. The experimental variability will be quantified, and the performance of different model
approximations will be measured by an analysis of variance.
This project aims at using a few existing crop growth models and combining these with existing data sets. This project is based on combined activities of the partners as they are
involved in both the experimental work and the modelling work. A scientist in Wageningen will do the modelling work, whereas the partners will contribute data and formulate alternative
model hypotheses. The Copenhagen partner will concentrate on the phenological development module, and the Colchester
partner on the physiological modules. This project will address the question to what extent climate change is potentially
aggravating the variability of crop yields. The result will help to improve the correct estimation of the changes in plant
response and crop yield under various climate change scenarios ([CO2] and temperature). The output of this project will be of direct importance to the IGBP/GCTE crop networks, and also to the European research programmes in this field.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- agricultural sciencesagriculture, forestry, and fisheriesagriculture
- natural sciencesearth and related environmental sciencesatmospheric sciencesclimatologyclimatic changes
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Call for proposal
Data not availableFunding Scheme
CSC - Cost-sharing contractsCoordinator
6708 PD Wageningen
Netherlands