Reprint
Modeling the Adaptations of Agricultural Production to Climate Change
Edited by
March 2023
400 pages
- ISBN978-3-0365-6802-7 (Hardback)
- ISBN978-3-0365-6803-4 (PDF)
This book is a reprint of the Special Issue Modeling the Adaptations of Agricultural Production to Climate Change that was published in
Biology & Life Sciences
Engineering
Environmental & Earth Sciences
Summary
This reprint focuses on quantitatively assessing the impact of climate change on agricultural production based on multi-source model simulation and reveals the role and mechanism of improved management measures in adapting to climate change.
Modeling is a key tool for exploring the impacts of climate change on agriculture and proposing adaptation strategies. The insights derived from this reprint will be helpful for relevant decision makers in the areas of agricultural adaptation and food security.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
temperature; evaluation; CLDAS; GLDAS; ERA5-Land; adaptation; climate change; summer maize; phenology shift; GCM; CNRM-CM6; PET; climate change; IPCC-AR6; SSP scenarios; solar induced chlorophyll fluorescence (SIF); winter wheat; yield forecast; random forest; enhanced vegetation index (EVI); geographic distribution; suitable habitat; Rheum nanum; MaxEnt; ArcGIS; range shifts; climate scenario; climate change; agriculture; food security; planting boundary; winter wheat; climate change; agriculture; crop modelling; yield; future climate scenarios; climate change; soybean; CROPWAT; reference crop evapotranspiration (ET0); crop water requirement (ETc); irrigation water requirement (Ir); climate change; crop yield; cultivated area; future climate scenarios; water use; wheat–corn; DNDC; climate change; crop yield; net greenhouse effect; anaerobic digestion; biogas production; k-nearest neighbours; support vector machine; middle and lower reaches of Yangtze River; rice; climate change; heat stress; nitrous oxide; soil gas flux; silicone diffusion cell; soil gas diffusivity; passive gas sampling; soil gas diffusion coefficient; soil gas flux simulation; carbon sequestration; different scenarios; land use; sustainable development; Xinjiang; climate change; ETo; yield response factor; irrigation water requirement; cotton; Xinjiang; GCMs; CERES-rice model; climate change; rice yield; light and heat resource utilization; potential evapotranspiration (ET0); climate change; Penman–Monteith; sensitivity analysis; contribution rate; optimal irrigation; sustainable irrigation; yield; water use efficiency; North China Plain; sugarcane; heat stress; SPEI; waterlogging; climate change; growth stage; climatic yield; yield prediction; machine learning; APSIM model; climate indices; North China Plain; suitable habitat; climate scenario; range shift; ArcGIS; MaxEnt; apple trees; n/a