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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Telleria, Roberto Dixit, Prakash N. |
| Spatial Coverage | Lebanon Syria |
| Description | Author Affiliation: Dixit PN ( International Centre for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 950764, Amman 11195, Jordan. Electronic address: p.dixit@cgiar.org.); Telleria R ( International Centre for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 950764, Amman 11195, Jordan.) |
| Abstract | Inter-annual and seasonal variability in climatic parameters, most importantly rainfall, have potential to cause climate-induced risk in long-term crop production. Short-term field studies do not capture the full nature of such risk and the extent to which modifications to crop, soil and water management recommendations may be made to mitigate the extent of such risk. Crop modeling studies driven by long-term daily weather data can predict the impact of climate-induced risk on crop growth and yield however, the availability of long-term daily weather data can present serious constraints to the use of crop models. To tackle this constraint, two weather generators namely, LARS-WG and MarkSim, were evaluated in order to assess their capabilities of reproducing frequency distributions, means, variances, dry spell and wet chains of observed daily precipitation, maximum and minimum temperature, and solar radiation for the eight locations across cropping areas of Northern Syria and Lebanon. Further, the application of generated long-term daily weather data, with both weather generators, in simulating barley growth and yield was also evaluated. We found that overall LARS-WG performed better than MarkSim in generating daily weather parameters and in 50 years continuous simulation of barley growth and yield. Our findings suggest that LARS-WG does not necessarily require long-term e.g., >30 years observed weather data for calibration as generated results proved to be satisfactory with >10 years of observed data except in area with higher altitude. Evaluating these weather generators and the ability of generated weather data to perform long-term simulation of crop growth and yield is an important first step to assess the impact of future climate on yields, and to identify promising technologies to make agricultural systems more resilient in the given region. |
| ISSN | 00489697 |
| Volume Number | 511 |
| e-ISSN | 18791026 |
| Journal | Science of The Total Environment |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2015-04-01 |
| Publisher Place | Netherlands |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Climate Change Climate Crops, Agricultural Growth & Development Environmental Monitoring Methods Agriculture Lebanon Models, Theoretical Syria Journal Article Research Support, Non-u.s. Gov't Discipline Environmental Science |
| Content Type | Text |
| Resource Type | Article |
| Subject | Environmental Chemistry Waste Management and Disposal Pollution Environmental Engineering |
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