Abstract
Combining climate change, crop growth and crop disease
models to predict impacts of climate change on crop diseases
can guide planning of climate change adaptation strategies to
ensure future food security. This review summarises recent
developments in modelling climate change impacts on crop
diseases, emphasises some major challenges and highlights
recent trends. The use of multi-model ensembles in climate
change modelling and crop modelling is contributing towards
measures of uncertainty in climate change impact projections
but other aspects of uncertainty remain largely unexplored.
Impact assessments are still concentrated on few crops and
few diseases but are beginning to investigate arable crop
disease dynamics at the landscape level.
models to predict impacts of climate change on crop diseases
can guide planning of climate change adaptation strategies to
ensure future food security. This review summarises recent
developments in modelling climate change impacts on crop
diseases, emphasises some major challenges and highlights
recent trends. The use of multi-model ensembles in climate
change modelling and crop modelling is contributing towards
measures of uncertainty in climate change impact projections
but other aspects of uncertainty remain largely unexplored.
Impact assessments are still concentrated on few crops and
few diseases but are beginning to investigate arable crop
disease dynamics at the landscape level.
| Original language | English |
|---|---|
| Pages (from-to) | 101-109 |
| Number of pages | 9 |
| Journal | Current Opinion in Plant Biology |
| Volume | 32 |
| Early online date | 27 Jul 2016 |
| DOIs | |
| Publication status | Published - 1 Aug 2016 |
Keywords
- Climate Change
- crop disease
- disease modelling
- FOOD SECURITY
- model ensembles
- Uncertainty