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1. Introduction The impacts of climate change on agriculture are dependent on the magnitude and type of climate change and the mitigation and adaptation practices undertaken by agricultural producers and managers ( Parry 1989 ; Easterling et al. 1993 ; Southworth et al. 2000 ). By considering the observed trends, adjustments and adaptations will need to be made in order to exploit favorable agricultural conditions and to mitigate negative effects in maintaining optimal agricultural
1. Introduction The impacts of climate change on agriculture are dependent on the magnitude and type of climate change and the mitigation and adaptation practices undertaken by agricultural producers and managers ( Parry 1989 ; Easterling et al. 1993 ; Southworth et al. 2000 ). By considering the observed trends, adjustments and adaptations will need to be made in order to exploit favorable agricultural conditions and to mitigate negative effects in maintaining optimal agricultural
Manitoba, the longitudinal center of Canada, is the easternmost of the three Canadian prairie provinces with a population of about 1.28 million people and population density of 2.3 people km −2 ( Statistics Canada 2017 ). The fertile prairie soil creates thriving agricultural communities in the southern region of the province where most of the agricultural production occurs. This region of the province is referred to as agro-Manitoba and it extends south from the 53rd parallel to the U
Manitoba, the longitudinal center of Canada, is the easternmost of the three Canadian prairie provinces with a population of about 1.28 million people and population density of 2.3 people km −2 ( Statistics Canada 2017 ). The fertile prairie soil creates thriving agricultural communities in the southern region of the province where most of the agricultural production occurs. This region of the province is referred to as agro-Manitoba and it extends south from the 53rd parallel to the U
used in regression analyses (regressions are used to test hypotheses concerning determinants of weather data use); (iv) discuss results; and (v) summarize main findings and suggests areas of future research. 2. Empirical specification Here, we introduce a discrete choice framework that treats acquisition and use of weather data as part of an agricultural decision-maker’s utility function. Utility is a measure of benefit or satisfaction the producer derives. Information use is a choice variable
used in regression analyses (regressions are used to test hypotheses concerning determinants of weather data use); (iv) discuss results; and (v) summarize main findings and suggests areas of future research. 2. Empirical specification Here, we introduce a discrete choice framework that treats acquisition and use of weather data as part of an agricultural decision-maker’s utility function. Utility is a measure of benefit or satisfaction the producer derives. Information use is a choice variable
The COVID-19 pandemic created new challenges for food security, such as increased price volatility and destabilized supply chains due to labor shortages, restricted mobility, and general uncertainty, worsening the severity of preexisting food crises due to climate change ( FAO 2021 ; Phillips et al. 2020 ). In addition, the feasibility of conducting face-to-face services and providing farmers with weather-informed agricultural advisories has been reduced in many countries ( FAO 2020 ). While
The COVID-19 pandemic created new challenges for food security, such as increased price volatility and destabilized supply chains due to labor shortages, restricted mobility, and general uncertainty, worsening the severity of preexisting food crises due to climate change ( FAO 2021 ; Phillips et al. 2020 ). In addition, the feasibility of conducting face-to-face services and providing farmers with weather-informed agricultural advisories has been reduced in many countries ( FAO 2020 ). While
1. Introduction Growing sufficient food, fuel, and fiber to meet the world’s needs in a sustainable manner is dependent upon favorable weather conditions. The upper midwestern United States, commonly referred to as the Corn Belt, produces more than one-third of the global supply of corn ( USDA NASS 2011 ; USDA FAS 2012 ). Short and long-term weather patterns affect agriculture in this region and are expected to become increasingly variable due to climate change ( Karl et al. 2009 ). Modern
1. Introduction Growing sufficient food, fuel, and fiber to meet the world’s needs in a sustainable manner is dependent upon favorable weather conditions. The upper midwestern United States, commonly referred to as the Corn Belt, produces more than one-third of the global supply of corn ( USDA NASS 2011 ; USDA FAS 2012 ). Short and long-term weather patterns affect agriculture in this region and are expected to become increasingly variable due to climate change ( Karl et al. 2009 ). Modern
1. Introduction Climate change and shifts in weather patterns are expected to present many challenges to agricultural sectors worldwide ( Hatfield et al. 2018 ; Walthall et al. 2012 ), as changing temperatures, precipitation regimes, pest and disease pressure, and rising instances of extreme weather events put increasing pressure on existing productions systems ( Gowda et al. 2018 ). Agricultural systems are vulnerable to changing climatic conditions, with potential impacts spanning economic
1. Introduction Climate change and shifts in weather patterns are expected to present many challenges to agricultural sectors worldwide ( Hatfield et al. 2018 ; Walthall et al. 2012 ), as changing temperatures, precipitation regimes, pest and disease pressure, and rising instances of extreme weather events put increasing pressure on existing productions systems ( Gowda et al. 2018 ). Agricultural systems are vulnerable to changing climatic conditions, with potential impacts spanning economic
1. Introduction U.S. agriculture produces almost $330 billion annually in agricultural commodities and is vulnerable directly and indirectly to changing climate conditions and extreme weather events that impact crop and livestock productivity and pest and pathogen pressures ( Harwood et al. 1999 ; Walthall et al. 2012 ; Pryor 2013 ; Melillo et al. 2014 ). The recently released U.S. National Climate Assessment points out that the success of farmers in managing climate risks depends upon their
1. Introduction U.S. agriculture produces almost $330 billion annually in agricultural commodities and is vulnerable directly and indirectly to changing climate conditions and extreme weather events that impact crop and livestock productivity and pest and pathogen pressures ( Harwood et al. 1999 ; Walthall et al. 2012 ; Pryor 2013 ; Melillo et al. 2014 ). The recently released U.S. National Climate Assessment points out that the success of farmers in managing climate risks depends upon their
1. Introduction The endemic poverty of rural agriculturalists in many less developed countries (LDCs), together with growing evidence of climate change, has led to increasing interest in the effects of weather on the well-being of these populations. Since the 1960s, the dominant approach to rural development in low-income countries has focused on strengthening the small-farm agricultural sector in order to alleviate rural poverty ( IFPRI 2002 ; Ellis and Biggs 2001 ; Ellis 2000 ). Yet, the
1. Introduction The endemic poverty of rural agriculturalists in many less developed countries (LDCs), together with growing evidence of climate change, has led to increasing interest in the effects of weather on the well-being of these populations. Since the 1960s, the dominant approach to rural development in low-income countries has focused on strengthening the small-farm agricultural sector in order to alleviate rural poverty ( IFPRI 2002 ; Ellis and Biggs 2001 ; Ellis 2000 ). Yet, the
1. Introduction Because of its importance for the Turkish and regional economy, it is critical that agricultural enterprise is carefully analyzed and characterized for threats and opportunities. In the recent decades, these threats and opportunities have mainly risen from climatic perturbations. Using actual precipitation index, which can be applied regardless of the data distribution unlike standard precipitation index, Şen and Almazroui (2021) recently reported drought characteristics
1. Introduction Because of its importance for the Turkish and regional economy, it is critical that agricultural enterprise is carefully analyzed and characterized for threats and opportunities. In the recent decades, these threats and opportunities have mainly risen from climatic perturbations. Using actual precipitation index, which can be applied regardless of the data distribution unlike standard precipitation index, Şen and Almazroui (2021) recently reported drought characteristics
1. Introduction Understanding future food production is critical in conditions of changing climate and growing population ( Porter et al. 2014 ). Meeting agricultural food demand that is estimated to increase by ~60% by 2050 ( OECD/FAO 2012 ) presents a significant challenge for future society. Changing demand coupled with changing production will likely have significant impacts on food availability, and subsequently affect food prices ( Nelson et al. 2014 ) and migration patterns ( Feng et al
1. Introduction Understanding future food production is critical in conditions of changing climate and growing population ( Porter et al. 2014 ). Meeting agricultural food demand that is estimated to increase by ~60% by 2050 ( OECD/FAO 2012 ) presents a significant challenge for future society. Changing demand coupled with changing production will likely have significant impacts on food availability, and subsequently affect food prices ( Nelson et al. 2014 ) and migration patterns ( Feng et al
