The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Climate change and drought: a risk assessment of crop-yield impacts
Open accessAbstract
We assessed the drought risk for world crop production under current and future climatic conditions by using an integrated approach to analyze the correlation between historical crop yield and meteorological drought.Future drought frequencies are estimated based on ensemble results from 20 general circulation model (GCM) climate change patterns and 6 emissions scenarios from SRES (Special Report on Emissions Scenarios) using a revised Palmer Drought Severity Index.The drought risk index was established by combining the effects of drought-disaster frequency, drought severity, production (yield) and extent of irrigation.Results indicate that, for most regions, the probability density functions (PDF) of the 120 drought disaster frequency projections for 2100 show quasi-normal distributions and consistently project higher drought disaster frequency (DDF ) than that of baseline, which indicates an overall enhanced drought risk in the future climate change.Globally, the drought disaster-affected area will increase with the rising global temperature, from 15.4 to 44.00% by 2100.The average cropland drought risk index (DRI) doubles from 52.45 to 104.60 in 2050 projections.In 2100, the projection for the DRI increases to 129.40.Among the regions, Africa is ranked as the highest, with a baseline DRI value of 95.77 which increases to 205.46 in 2100 projections.Correspondingly, the rates of yield reduction related to drought disaster for major crops will increase significantly with future climate change, by > 50% in 2050 and almost 90% in 2100 for the major crops.Adaptation measures to avoid aggravated drought-disaster risks are called for.
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On Estimation of a Probability Density Function and Mode
Parzen, E. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704472 · Cited by 10,585
Barker, T. J., Bashmakov, I., Bernstein, L., Bogner, J. R., Bosch, P. C., Dave, R., Davidson, O., Fisher, B. S., Grubb, M. J., Gupta, S. K., et al. (2007) · Socio-Environmental Systems Modeling · Cited by 9,160
An Approach toward a Rational Classification of Climate
Thornthwaite, C. W. (1948) · Geographical Review · doi:10.2307/210739 · Cited by 9,087
Prioritizing Climate Change Adaptation Needs for Food Security in 2030
Lobell, D. B., Burke, M. B., Tebaldi, C., Mastrandrea, M. D., Falcon, W. P., & Naylor, R. L. (2008) · Science · doi:10.1126/science.1152339 · Cited by 3,105
Global food security under climate change
Schmidhuber, J., & Tubiello, F. N. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701976104 · Cited by 2,128
Dai, A., Trenberth, K. E., & Qian, T. (2004) · Journal of Hydrometeorology · doi:10.1175/jhm-386.1 · Cited by 2,041
(2012) · Water Drops · doi:10.2307/jj.18376987.67 · Cited by 1,662
Conceptualizing food systems for global environmental change research
Ericksen, P. J. (2008) · Global Environmental Change · doi:10.1016/j.gloenvcha.2007.09.002 · Cited by 1,486 · cited 2×
“…in understanding crop yield formation and food systems, the assessment of climate change impacts on crop production has been focused on analyzing specific aspects including crop production modeling, field CO2 fertilization effects on crop yields and socio-economic modeling (Ericksen 2008).”
An Anatomy of Adaptation to Climate Change and Variability
Smit, B., Burton, I., Klein, R. J. T., & Wandel, J. (2000) · Climatic Change · doi:10.1023/a:1005661622966 · Cited by 1,288
The Quantification of Drought: An Evaluation of Drought Indices
Keyantash, J., & Dracup, J. A. (2002) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477-83.8.1167 · Cited by 1,266
Cited by
Impact of Climate Change on Agriculture and Its Mitigation Strategies: A Review
Malhi, G., Kaur, M., & Kaushik, P. (2021) · Sustainability · doi:10.3390/su13031318 · Cited by 1,511
Leng, G., & Hall, J. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2018.10.434 · Cited by 729
Climate change risks for African agriculture
Müller, C., Cramer, W., Hare, W. L., & Lotze-Campen, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1015078108 · Cited by 490
Fisher, M., Abate, T., Lunduka, R. W., Asnake, W., Alemayehu, Y., & Madulu, R. B. (2015) · Climatic Change · doi:10.1007/s10584-015-1459-2 · Cited by 420
The biggest drought events in Europe from 1950 to 2012
Spinoni, J., Naumann, G., Vogt, J. V., & Barbosa, P. (2015) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2015.01.001 · Cited by 408
Metadata
- Authors
- Li, Y., Ye, W., Wang, M., & Yan, X.
- Venue
- Climate Research
- Publisher
- Inter-Research Science Center
- Published
- 2009-05-26
- Volume
- 39
- Pages
- 31-46
- ISSN
- 0936-577X (ISSN-L)
- 1616-1572
- OpenAlex
- W1512871475
- Cited by
- 572
- References
- 40
- FWCI
- 10.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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