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Global Agricultural Production: Resilience to Climate Change
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Global Agricultural Production: Resilience to Climate Change in Bloomington, MN
Current price: $199.99
Global Agricultural Production: Resilience to Climate Change in Bloomington, MN
Current price: $199.99
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Size: Paperback
This book covers all aspects related to climate change and agriculture. The book discusses Global Climate Models (GCMs), Coupled Model Intercomparison Project (CMIP) and application of strategic management tool that includes RCP (Representative concentration Pathway), SSP (Shared Socio-economic Pathways) and SPA (Shared climate Policy Assumptions).
The book provides information on how climate change, agricultural productivity and food security are interlinked. The impacts of climate change on food security are studied through different climatic drivers e.g., ENSO (El Niño-Southern Oscillation) and SOI (Southern Oscillation Index). These drivers are responsible for the climatic extreme events hence early prediction of these drivers could help to design appropriate adaptive measures for the agriculture sector and could be considered as early warning tools for risk management.
Similarly, climate change and process-based soil modeling as well as the role of soil microbes andclimate smart agriculture are discussed in this book.
Climate change impacts on legume crop production and adaptation strategies are presented, with details about cereal crop modeling, perspectives of
Camelina sativa
as well as low input biofuel and oilseed crop, greenhouse gases (GHGs) emissions and mitigation strategies.
The book provides information on how climate change, agricultural productivity and food security are interlinked. The impacts of climate change on food security are studied through different climatic drivers e.g., ENSO (El Niño-Southern Oscillation) and SOI (Southern Oscillation Index). These drivers are responsible for the climatic extreme events hence early prediction of these drivers could help to design appropriate adaptive measures for the agriculture sector and could be considered as early warning tools for risk management.
Similarly, climate change and process-based soil modeling as well as the role of soil microbes andclimate smart agriculture are discussed in this book.
Climate change impacts on legume crop production and adaptation strategies are presented, with details about cereal crop modeling, perspectives of
Camelina sativa
as well as low input biofuel and oilseed crop, greenhouse gases (GHGs) emissions and mitigation strategies.
This book covers all aspects related to climate change and agriculture. The book discusses Global Climate Models (GCMs), Coupled Model Intercomparison Project (CMIP) and application of strategic management tool that includes RCP (Representative concentration Pathway), SSP (Shared Socio-economic Pathways) and SPA (Shared climate Policy Assumptions).
The book provides information on how climate change, agricultural productivity and food security are interlinked. The impacts of climate change on food security are studied through different climatic drivers e.g., ENSO (El Niño-Southern Oscillation) and SOI (Southern Oscillation Index). These drivers are responsible for the climatic extreme events hence early prediction of these drivers could help to design appropriate adaptive measures for the agriculture sector and could be considered as early warning tools for risk management.
Similarly, climate change and process-based soil modeling as well as the role of soil microbes andclimate smart agriculture are discussed in this book.
Climate change impacts on legume crop production and adaptation strategies are presented, with details about cereal crop modeling, perspectives of
Camelina sativa
as well as low input biofuel and oilseed crop, greenhouse gases (GHGs) emissions and mitigation strategies.
The book provides information on how climate change, agricultural productivity and food security are interlinked. The impacts of climate change on food security are studied through different climatic drivers e.g., ENSO (El Niño-Southern Oscillation) and SOI (Southern Oscillation Index). These drivers are responsible for the climatic extreme events hence early prediction of these drivers could help to design appropriate adaptive measures for the agriculture sector and could be considered as early warning tools for risk management.
Similarly, climate change and process-based soil modeling as well as the role of soil microbes andclimate smart agriculture are discussed in this book.
Climate change impacts on legume crop production and adaptation strategies are presented, with details about cereal crop modeling, perspectives of
Camelina sativa
as well as low input biofuel and oilseed crop, greenhouse gases (GHGs) emissions and mitigation strategies.
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