UID:
almahu_9949568564002882
Format:
1 online resource
ISBN:
1003411150
,
9781003411154
,
9781801461764
,
1801461767
,
9781801461771
,
1801461775
Content:
Climate change is a key threat to agriculture. Modelling is fundamental to assessing its potential impacts. This collection summarises the wealth of research on improving climate impact models and their use in assessing impacts on different regions. Modelling climate change impacts on agricultural systems reviews research on developing models in areas such as, improving data flows, incorporating genetic information and dealing with uncertainty. This collection also reviews what we know about potential climate change impacts on regional agricultural systems such, Europe, North America, Latin America, Australia and Oceania, as well as different regions in Asia and Africa.
Note:
Intro -- Title Page -- Half Title Page -- Copyright Page -- Contents -- Series list -- Introduction -- Acknowledgements -- Part 1 Advances in modelling -- Chapter 1 Advances in integrating different models assessing the impact of climate change on agriculture -- 1 Introduction -- 2 Understanding models and their application to problems such as climate change -- 3 The 'ideal model' to assess the impact of climate change on agriculture -- 4 Implementing the 'ideal model': current approaches -- 5 From ideal to pragmatic modelling of climate change: coupling sub-models
,
6 Integrating new knowledge and facilitating interoperability -- 7 Integrating adaptation management practices into models -- 8 Incorporating interand intra-species diversity into models -- 9 From white to black box models: hybrid approaches and gridded simulations -- 10 Ensemble modelling -- 11 Conclusion and future trends -- 12 References -- Chapter 2 Improving data flow and integration in models assessing the impact of climate change on agriculture -- 1 Introduction -- 2 Model-data integration -- 3 Informing spatiotemporal simulations -- 4 Assimilation of data in spatiotemporal simulations
,
5 Workflows for massive parallel computing -- 6 Model-model integration -- 7 Granularity and modular design for model improvement, reuse, exchange and interoperability -- 8 Concepts for distributed modelling -- 9 Future trends and conclusion -- 10 Where to look for further information -- 11 References -- Chapter 3 Incorporating genetics into crop models to identify new phenotypes adapted to climate change -- 1 Introduction -- 2 Systems analyses and models of crop growth -- 3 Linking genetics and physiology for phenotypic prediction -- 4 Models that predict emergent phenotypes
,
5 Integrating environmental and genomic predictions using crop models -- 6 Assessing impacts of traits and their underpinning genetics on crop performance -- 7 Managing genotype × environment interactions to optimize rather than hamper genetic gain in current and future climates -- 8 Predictive breeding enables iterative impact assessment and adaptation to climate change -- 9 Crop growth models can enable a rethinking of breeding objectives to adapt to and combat climate change -- 10 Conclusion and future trends -- 11 References
,
Chapter 4 Developing more integrated approaches in models assessing the impact of climate change on agriculture -- 1 Introduction -- 2 Addressing key challenges in integrated modelling -- 3 Case study -- 4 Conclusion -- 5 Future trends in research -- 6 Acknowledgements -- 7 Where to look for further information -- 8 References -- Chapter 5 Accounting for uncertainties in modeling the impact of climate change on agriculture -- 1 Introduction -- 2 Managing uncertainties from greenhouse gas emission and climate change scenarios -- 3 Managing uncertainties from crop model input data
Language:
English
Keywords:
Electronic books.
DOI:
10.1201/9781003411154
URL:
https://www.taylorfrancis.com/books/9781003411154
