A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production
Excess agricultural nitrogen, mainly from manure and chemical fertilizers, is a primary source of nutrient pollution and presents serious environmental threats to natural ecosystems and human health. Improvements in nitrogen-use efficiency in crop production are critical for addressing the triple ch...
| Autores principales: | , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2022
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/127228 |
| _version_ | 1855526586805125120 |
|---|---|
| author | Man Li Guo, Zhe Zhang, Wei |
| author_browse | Guo, Zhe Man Li Zhang, Wei |
| author_facet | Man Li Guo, Zhe Zhang, Wei |
| author_sort | Man Li |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Excess agricultural nitrogen, mainly from manure and chemical fertilizers, is a primary source of nutrient pollution and presents serious environmental threats to natural ecosystems and human health. Improvements in nitrogen-use efficiency in crop production are critical for addressing the triple challenge of food insecurity, environmental degradation, and climate change. Approaches such as sustainable intensification that stress technological innovations have received the most attention. But science-based cropland use planning, a promising complementary approach, has so far been largely overlooked. Here we develop a spatially integrated economic-ecological modeling method to assess this previously unexplored potential for improving the economic-environmental performance of crop production by examining the seasonal and spatial implications of cropland and fertilizer use in Bangladesh. In doing so, we aim to make the modeling method accessible to researchers and practitioners interested in achieving the dual goal of food production and environmental sustainability for countries that are characterized by seasonal and spatial variations in crop mix and cropping practices. |
| format | Journal Article |
| id | CGSpace127228 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1272282025-10-26T13:01:28Z A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production Man Li Guo, Zhe Zhang, Wei agriculture nitrogen organic fertilizers chemical fertilizer pollution environment ecosystems human health crop production food insecurity environmental degradation climate change sustainable intensification technological innovation modeling technological changes sustainability modelling intensification Excess agricultural nitrogen, mainly from manure and chemical fertilizers, is a primary source of nutrient pollution and presents serious environmental threats to natural ecosystems and human health. Improvements in nitrogen-use efficiency in crop production are critical for addressing the triple challenge of food insecurity, environmental degradation, and climate change. Approaches such as sustainable intensification that stress technological innovations have received the most attention. But science-based cropland use planning, a promising complementary approach, has so far been largely overlooked. Here we develop a spatially integrated economic-ecological modeling method to assess this previously unexplored potential for improving the economic-environmental performance of crop production by examining the seasonal and spatial implications of cropland and fertilizer use in Bangladesh. In doing so, we aim to make the modeling method accessible to researchers and practitioners interested in achieving the dual goal of food production and environmental sustainability for countries that are characterized by seasonal and spatial variations in crop mix and cropping practices. 2022 2023-01-16T15:21:20Z 2023-01-16T15:21:20Z Journal Article https://hdl.handle.net/10568/127228 en https://doi.org/10.1088/1748-9326/ac0be4 Open Access Elsevier Li, Man; Guo, Zhe; and Zhang, Wei. 2022. A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production. MethodsX 9(2022): 101906. https://doi.org/10.1016/j.mex.2022.101906 |
| spellingShingle | agriculture nitrogen organic fertilizers chemical fertilizer pollution environment ecosystems human health crop production food insecurity environmental degradation climate change sustainable intensification technological innovation modeling technological changes sustainability modelling intensification Man Li Guo, Zhe Zhang, Wei A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title | A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title_full | A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title_fullStr | A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title_full_unstemmed | A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title_short | A novel seasonal-spatial integrated model for improving the economic-environmental performance of crop production |
| title_sort | novel seasonal spatial integrated model for improving the economic environmental performance of crop production |
| topic | agriculture nitrogen organic fertilizers chemical fertilizer pollution environment ecosystems human health crop production food insecurity environmental degradation climate change sustainable intensification technological innovation modeling technological changes sustainability modelling intensification |
| url | https://hdl.handle.net/10568/127228 |
| work_keys_str_mv | AT manli anovelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction AT guozhe anovelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction AT zhangwei anovelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction AT manli novelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction AT guozhe novelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction AT zhangwei novelseasonalspatialintegratedmodelforimprovingtheeconomicenvironmentalperformanceofcropproduction |