Modeling the Adaptations of Agricultural Production to Climate Change

• Autres auteurs: Xiao, Dengpan (Éditeur intellectuel), Shi, Wenjiao (Éditeur intellectuel)
• Format: Électronique Chapitre de livre
• Langue: anglais
• Publié: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Sujets: Research & information: general; Biology, life sciences; Technology, engineering, agriculture; temperature; evaluation; CLDAS; GLDAS; ERA5-Land; adaptation; climate change; summer maize; phenology shift; GCM; CNRM-CM6; PET; 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; agriculture; food security; planting boundary; crop modelling; yield; future climate scenarios; soybean; CROPWAT; reference crop evapotranspiration (ET0); crop water requirement (ETc); irrigation water requirement (Ir); crop yield; cultivated area; water use; wheat-corn; DNDC; net greenhouse effect; anaerobic digestion; biogas production; k-nearest neighbours; support vector machine; middle and lower reaches of Yangtze River; rice; 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; ETo; yield response factor; irrigation water requirement; cotton; GCMs; CERES-rice model; rice yield; light and heat resource utilization; potential evapotranspiration (ET0); Penman-Monteith; sensitivity analysis; contribution rate; optimal irrigation; sustainable irrigation; water use efficiency; North China Plain; sugarcane; SPEI; waterlogging; growth stage; climatic yield; yield prediction; machine learning; APSIM model; climate indices; range shift; apple trees; n/a
• Accès en ligne: DOAB: download the publication; DOAB: description of the publication