Estimating the potential of rain-fed agriculture
A global estimate of the potential for rain-fed agriculture could provide an answer to the question "How much irrigation is required?" Global studies done to date have relied on course resolution climate data (0.5-1 degree arc). In this study a high-resolution climate dataset (10-minute arc) was com...
| Autores principales: | , , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
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International Water Management Institute
2001
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/39259 |
| _version_ | 1855542099478315008 |
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| author | Droogers, Peter Seckler, David Makin, Ian W. |
| author_browse | Droogers, Peter Makin, Ian W. Seckler, David |
| author_facet | Droogers, Peter Seckler, David Makin, Ian W. |
| author_sort | Droogers, Peter |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | A global estimate of the potential for rain-fed agriculture could provide an answer to the question "How much irrigation is required?" Global studies done to date have relied on course resolution climate data (0.5-1 degree arc). In this study a high-resolution climate dataset (10-minute arc) was combined with a soil water storage capacity map and a dynamic water and crop model to estimate the potential for rain-fed agriculture. The methodology applied here, based ona high-resolution climate dataset, allows analyses on a global scale without losing the smaller regional-scale issues. |
| format | Artículo preliminar |
| id | CGSpace39259 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2001 |
| publishDateRange | 2001 |
| publishDateSort | 2001 |
| publisher | International Water Management Institute |
| publisherStr | International Water Management Institute |
| record_format | dspace |
| spelling | CGSpace392592025-11-07T08:47:03Z Estimating the potential of rain-fed agriculture Droogers, Peter Seckler, David Makin, Ian W. irrigation management water management irrigated farming rain-fed farming crop production food production irrigation effects climate models soil-water-plant relationships crop yield evapotranspiration A global estimate of the potential for rain-fed agriculture could provide an answer to the question "How much irrigation is required?" Global studies done to date have relied on course resolution climate data (0.5-1 degree arc). In this study a high-resolution climate dataset (10-minute arc) was combined with a soil water storage capacity map and a dynamic water and crop model to estimate the potential for rain-fed agriculture. The methodology applied here, based ona high-resolution climate dataset, allows analyses on a global scale without losing the smaller regional-scale issues. 2001 2014-06-13T13:51:53Z 2014-06-13T13:51:53Z Working Paper https://hdl.handle.net/10568/39259 en Open Access application/pdf International Water Management Institute Droogers, Peter; Seckler, David; Makin, Ian. 2001. Estimating the potential of rain-fed agriculture. Colombo, Sri Lanka: International Water Management Institute (IWMI). v, 14p. (IWMI Working Paper 020) https://hdl.handle.net/10568/39259 |
| spellingShingle | irrigation management water management irrigated farming rain-fed farming crop production food production irrigation effects climate models soil-water-plant relationships crop yield evapotranspiration Droogers, Peter Seckler, David Makin, Ian W. Estimating the potential of rain-fed agriculture |
| title | Estimating the potential of rain-fed agriculture |
| title_full | Estimating the potential of rain-fed agriculture |
| title_fullStr | Estimating the potential of rain-fed agriculture |
| title_full_unstemmed | Estimating the potential of rain-fed agriculture |
| title_short | Estimating the potential of rain-fed agriculture |
| title_sort | estimating the potential of rain fed agriculture |
| topic | irrigation management water management irrigated farming rain-fed farming crop production food production irrigation effects climate models soil-water-plant relationships crop yield evapotranspiration |
| url | https://hdl.handle.net/10568/39259 |
| work_keys_str_mv | AT droogerspeter estimatingthepotentialofrainfedagriculture AT secklerdavid estimatingthepotentialofrainfedagriculture AT makinianw estimatingthepotentialofrainfedagriculture |