Global-scale drought risk assessment for agricultural systems
نویسندگان
چکیده
منابع مشابه
An Agricultural Drought Risk-Assessment Model for Corn and Soybeans
An agricultural drought risk-assessment model was developed for Nebraska, USA, for corn and soybeans on the basis of variables derived from the standardized precipitation index and crop-specific drought index using multivariate techniques. This model can be used to assess real-time agricultural drought risk for specific crops at critical times before and during the growing season by retaining p...
متن کاملAn Operational Agricultural Drought Risk Assessment Model for Nebraska, USA
Drought is a common occurrence in Nebraska and agriculture is the primary economic sector affected. Because of repeated and widespread severe drought impacts, more emphasis on drought risk management is warranted. This study develops an agricultural drought risk assessment model using multivariate techniques. The model is specific to corn and soybeans and is able to assess realtime agricultural...
متن کاملWhy well yield matters for managing agricultural drought risk
Groundwater-fed irrigation has supported growth in agricultural production around the world by allowing farmers to buffer production against the risks associated with variable and uncertain climatic conditions. However, uncontrolled exploitation has also led to rapid rates of groundwater depletion in many semi-arid and arid regions that threaten farmers' long-term capacity to adapt to future cl...
متن کاملagricultural drought risk assessment for rainfed barley crop using limited data (case study: east azarbaijan, iran)
assessment of agricultural drought risk at critical times before and during the growing season can provide sufficient time to policy makers and farmers to implement appropriate strategies to reduce the potential of risk. the purpose followed in the present study is to develop a statistical model to estimate the quality of agricultural drought risk for rainfed barley crop (prior to planting and ...
متن کاملagricultural drought risk assessment model for kermanshah province, using statistical and intelligent methods
the agriculture sector has been affected by severe drought in recent years, making development of a drought warning system for agriculture crucial. such a system can be a useful tool for policy makers and investors. this research develops a model for agricultural drought risk assessment using statistical and intelligent methods. kermanshah province, a major rain-fed region of iran, was selected...
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ژورنال
عنوان ژورنال: Natural Hazards and Earth System Sciences
سال: 2020
ISSN: 1684-9981
DOI: 10.5194/nhess-20-695-2020