Modeling the Adaptations of Agricultural Production to Climate Change
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 climat...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 720 | 1 | |a Xiao, Dengpan |4 edt | |
| 720 | 1 | |a Shi, Wenjiao |4 edt | |
| 720 | 1 | |a Shi, Wenjiao |4 oth | |
| 720 | 1 | |a Xiao, Dengpan |4 oth | |
| 245 | 0 | 0 | |a Modeling the Adaptations of Agricultural Production to Climate Change |
| 260 | |a Basel |b MDPI - Multidisciplinary Digital Publishing Institute |c 2023 | ||
| 300 | |a 1 online resource (400 p.) | ||
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| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by/4.0/ |2 cc |u https://creativecommons.org/licenses/by/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Biology, life sciences |2 bicssc | |
| 650 | 7 | |a Research and information: general |2 bicssc | |
| 650 | 7 | |a Technology, Engineering, Agriculture, Industrial processes |2 bicssc | |
| 653 | |a adaptation | ||
| 653 | |a agriculture | ||
| 653 | |a anaerobic digestion | ||
| 653 | |a apple trees | ||
| 653 | |a APSIM model | ||
| 653 | |a ArcGIS | ||
| 653 | |a biogas production | ||
| 653 | |a carbon sequestration | ||
| 653 | |a CERES-rice model | ||
| 653 | |a CLDAS | ||
| 653 | |a climate change | ||
| 653 | |a climate indices | ||
| 653 | |a climate scenario | ||
| 653 | |a climatic yield | ||
| 653 | |a CNRM-CM6 | ||
| 653 | |a contribution rate | ||
| 653 | |a cotton | ||
| 653 | |a crop modelling | ||
| 653 | |a crop water requirement (ETc) | ||
| 653 | |a crop yield | ||
| 653 | |a CROPWAT | ||
| 653 | |a cultivated area | ||
| 653 | |a different scenarios | ||
| 653 | |a DNDC | ||
| 653 | |a enhanced vegetation index (EVI) | ||
| 653 | |a ERA5-Land | ||
| 653 | |a ETo | ||
| 653 | |a evaluation | ||
| 653 | |a food security | ||
| 653 | |a future climate scenarios | ||
| 653 | |a GCM | ||
| 653 | |a GCMs | ||
| 653 | |a geographic distribution | ||
| 653 | |a GLDAS | ||
| 653 | |a growth stage | ||
| 653 | |a heat stress | ||
| 653 | |a IPCC-AR6 | ||
| 653 | |a irrigation water requirement | ||
| 653 | |a irrigation water requirement (Ir) | ||
| 653 | |a k-nearest neighbours | ||
| 653 | |a land use | ||
| 653 | |a light and heat resource utilization | ||
| 653 | |a machine learning | ||
| 653 | |a MaxEnt | ||
| 653 | |a middle and lower reaches of Yangtze River | ||
| 653 | |a n/a | ||
| 653 | |a net greenhouse effect | ||
| 653 | |a nitrous oxide | ||
| 653 | |a North China Plain | ||
| 653 | |a optimal irrigation | ||
| 653 | |a passive gas sampling | ||
| 653 | |a Penman-Monteith | ||
| 653 | |a PET | ||
| 653 | |a phenology shift | ||
| 653 | |a planting boundary | ||
| 653 | |a potential evapotranspiration (ET0) | ||
| 653 | |a random forest | ||
| 653 | |a range shift | ||
| 653 | |a range shifts | ||
| 653 | |a reference crop evapotranspiration (ET0) | ||
| 653 | |a Rheum nanum | ||
| 653 | |a rice | ||
| 653 | |a rice yield | ||
| 653 | |a sensitivity analysis | ||
| 653 | |a silicone diffusion cell | ||
| 653 | |a soil gas diffusion coefficient | ||
| 653 | |a soil gas diffusivity | ||
| 653 | |a soil gas flux | ||
| 653 | |a soil gas flux simulation | ||
| 653 | |a solar induced chlorophyll fluorescence (SIF) | ||
| 653 | |a soybean | ||
| 653 | |a SPEI | ||
| 653 | |a SSP scenarios | ||
| 653 | |a sugarcane | ||
| 653 | |a suitable habitat | ||
| 653 | |a summer maize | ||
| 653 | |a support vector machine | ||
| 653 | |a sustainable development | ||
| 653 | |a sustainable irrigation | ||
| 653 | |a temperature | ||
| 653 | |a water use | ||
| 653 | |a water use efficiency | ||
| 653 | |a waterlogging | ||
| 653 | |a wheat-corn | ||
| 653 | |a winter wheat | ||
| 653 | |a Xinjiang | ||
| 653 | |a yield | ||
| 653 | |a yield forecast | ||
| 653 | |a yield prediction | ||
| 653 | |a yield response factor | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/98883 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://mdpi.com/books/pdfview/book/6936 |7 0 |z Open Access: DOAB, download the publication |