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...
সংরক্ষণ করুন:
| বিন্যাস: | Online |
|---|---|
| ভাষা: | ইংরেজি |
| প্রকাশিত: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | ONIX_20230405_9783036568027_162 |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
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| _version_ | 1869524960232341504 |
|---|---|
| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-98883 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-988832024-03-28T03:31:25Z Modeling the Adaptations of Agricultural Production to Climate Change Xiao, Dengpan Shi, Wenjiao 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes 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. 2023-04-05T12:57:04Z 2023-04-05T12:57:04Z 2023 book ONIX_20230405_9783036568027_162 9783036568027 9783036568034 https://directory.doabooks.org/handle/20.500.12854/98883 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/6936 https://mdpi.com/books/pdfview/book/6936 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-6803-4 10.3390/books978-3-0365-6803-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036568027 9783036568034 400 Basel open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes Modeling the Adaptations of Agricultural Production to Climate Change |
| title | Modeling the Adaptations of Agricultural Production to Climate Change |
| title_full | Modeling the Adaptations of Agricultural Production to Climate Change |
| title_fullStr | Modeling the Adaptations of Agricultural Production to Climate Change |
| title_full_unstemmed | Modeling the Adaptations of Agricultural Production to Climate Change |
| title_short | Modeling the Adaptations of Agricultural Production to Climate Change |
| title_sort | modeling the adaptations of agricultural production to climate change |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science::PS Biology, life sciences thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes |
| url | ONIX_20230405_9783036568027_162 |