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A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century
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| Type: | Resource | |
| Storage: | The size of this resource is 1.6 GB | |
| Created: | Sep 20, 2024 at 10:54 p.m. | |
| Last updated: | Sep 24, 2024 at 2:09 p.m. (Metadata update) | |
| Published date: | Sep 24, 2024 at 2:09 p.m. | |
| DOI: | 10.4211/hs.60a890eb841c460192c03bb590687145 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1412 |
| Downloads: | 687 |
| +1 Votes: | 1 other +1 this |
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Abstract
Crop production is among the most extensive human activities on the planet – with critical importance for global food security, land use, environmental burden, and climate. Yet despite the key role that croplands play in global land use and Earth systems, there remains little understanding of how spatial patterns of global crop cultivation have recently evolved and which crops have contributed most to these changes. Here we construct a new data library of subnational crop-specific irrigated and rainfed harvested area statistics and combine it with global gridded land cover products to develop a global gridded (5-arcminute) irrigated and rainfed cropped area (MIRCA-OS) dataset for the years 2000 to 2015 for 23 crop classes. These global data products support critical insights into the spatially detailed patterns of irrigated and rainfed cropland change since the start of the century and provide an improved foundation for a wide array of global assessments spanning agriculture, water resource management, land use change, climate impact, and sustainable development.
Subject Keywords
Coverage
Spatial
Temporal
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Content
Additional Metadata
| Name | Value |
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| MIRCA-OS Metadata | This manuscript is currently under review at Nature Scientific Data and may undergo revisions. Future versions of the dataset and manuscript may contain minor changes. Upon acceptance, the final version will be available through the DOI link provided on this webpage. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| United States Department of Agriculture | Targeted Conservation: A coupled hydro-economic modeling approach to maximizing water availability across the Mississippi River Basin | Grant no. 2022-67019-37180 |
| The University of Alabama Global Water Security Center | ||
| The Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI) | Hydroinformatics Innovation Fellowship | |
| National Science Foundation | Digital Transformation of Development Fellowship | DGE- 2125913 |
| National Science Foundation Graduate Research Fellowship Program | #DGE-1752814 | |
| Deutsche Forschungsgemeinschaft | German Research Foundation | SFB 1502/1-2022 – Projektnummer: 450058266 |
Contributors
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
| Name | Organization | Address | Phone | Author Identifiers |
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| Gambhir Lamsal | Virginia Polytechnic Institute and State University (Virginia Tech) | Virgnia, US | ||
| Landon Marston | Virginia Polytechnic Institute and State University | Virginia, US |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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