We're sorry. An error has occurred
Please cancel or retry.
Accounting for uncertainties in modeling the impact of climate change on agriculture
Some error occured while loading the Quick View. Please close the Quick View and try reloading the page.
Couldn't load pickup availability
- Format:
-
24 July 2023

Model-based climate change impact assessments involve uncertainties given the many physical, biological and socio-economic processes involved and their complexity. Among other things, uncertainties arise from unknown future development of greenhouse gas emissions and uncertainties in climate change scenarios, input data, model structures and parameters, human error, as well as how adaptations and socio-economic development are taken into account. This chapter reviews recent progress in quantifying or reducing these uncertainties.
TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, Sustainable agriculture, TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science, SCIENCE / Global Warming & Climate Change, Agronomy and crop production, Climatology and climate modelling, Climate change, Agricultural science
- 1 Introduction
- 2 Managing uncertainties from greenhouse gas emission and climate change scenarios
- 3 Managing uncertainties from crop model input data
- 4 Managing uncertainties from model parameters and human error
- 5 Managing uncertainties from model structures
- 6 Managing uncertainties from adaptations in agricultural practices
- 7 Reducing model uncertainties
- 8 Conclusion and future trends
- 9 Acknowledgements
- 10 Where to look for further information
- 11 References