N application rates from mineral fertiliser and manure
<p>Historical N application rates from mineral fertiliser and manure. Prepared for Gridded Global Crop Model Intercomparison (GGCMI) project phase 3. </p> <p>Gridded time series of fertiliser application rates are based on national and sub-national estimates for 141 individual crops for the year 2000 from Mueller et al. (2012) and national time series for five different crop groups from LUH2v2 (Hurtt et al., 2020). Gridded time series of manure application rates on cropland are based on total applied manure per grid cell from Zhang et al. (2017) and cropland extent from LUH2v2 (Hurtt et al., 2020).</p> <p>This update (v.1.1) corrects an error in the manure application rates, which was caused by a misalignment of manure data and cropland extent. Files for fertiser application rates are identical to the previous version.</p> <p> </p> <p><strong>Reference</strong></p> <p>Hurtt, G. C., Chini, L., Sahajpal, R., Frolking, S., Bodirsky, B. L., Calvin, K., Doelman, J. C., Fisk, J., Fujimori, S., Klein Goldewijk, K., Hasegawa, T., Havlik, P., Heinimann, A., Humpenöder, F., Jungclaus, J., Kaplan, J. O., Kennedy, J., Krisztin, T., Lawrence, D., … Zhang, X. (2020). Harmonization of global land use change and management for the period 850–2100 (LUH2) for CMIP6. <em>Geoscientific Model Development</em>, <em>13</em>(11), 5425–5464. https://doi.org/10.5194/gmd-13-5425-2020</p> <p>Mueller, N. D., Gerber, J. S., Johnston, M., Ray, D. K., Ramankutty, N., & Foley, J. a. (2012). Closing yield gaps through nutrient and water management. <em>Nature</em>, <em>490</em>(7419), 254–257. https://doi.org/10.1038/nature11420</p> <p>Zhang, B., Tian, H., Lu, C., Dangal, S. R. S., Yang, J., & Pan, S. (2017). Global manure nitrogen production and application in cropland during 1860–2014: a 5 arcmin gridded global dataset for Earth system modeling. <em>Earth System Science Data</em>, <em>9</em>(2), 667–678. https://doi.org/10.5194/essd-9-667-2017</p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 4