Risk Communication for Farmers’ Adaptation to Climate Change: A New Task for Agricultural Advisory Services (original) (raw)
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Risk perception and decision-making: do farmers consider risks from climate change?
Climatic Change, 2018
Small-scale farmers are highly threatened by climate change. Experts often base their interventions to support farmers to adapt to climate change on their own perception of farmers' livelihood risks. However, if differences in risk perception between farmers and experts exist, these interventions might fail. Thus, for effective design and implementation of adaptation strategies for farmers, it is necessary to understand farmers' perception and how it influences their decision-making. We analyze farmers' and experts' systemic view on climate change threats in relation to other agricultural livelihood risks and assess the differences between their perceptions. For Cauca, Colombia, we found that experts and farmers perceived climate-related and other livelihood risks differently. While farmers' perceived risks were a failure in crop production and lack of access to health and educational services, experts, in contrast, perceived insecurity and the unreliable weather to be the highest risks for farmers. On barriers that prevent farmers from taking action against risks, experts perceived both external factors such as the national policy and internal factors such as the adaptive capacity of farmers to be the main barriers. Farmers ranked the lack of information, especially about weather and climate, as their main barrier to adapt. Effective policies aiming at climate change adaptation need to relate climate change risks to other production risks as farmers often perceive climate change in the context of other risks. Policymakers in climate change need to consider differences in risk perception.
Farmers’ Decision-Making Process under Climate Change: Developing a Conceptual Framework
2021
I n recent decades, climate change and frequent droughts have had great impacts on farming systems and have led farmers to become accustomed to these conditions, which are causing problems, especially, for smallholder farmers. With the severe weather events and their adverse effects, especially in arid regions, farmers' adaptation to these changes is indisputable and critical strategy. Thus, farmers need to make complex decisions about mitigating the adverse effects of climate change to take advantage of newer opportunities as possible. The understanding of the process by which farmers decide to stand facing climate changes and probing into the determinants of the process provide research evidence for policy makers to assist farmers to adapt to climate change effects. This article would establish a conceptual framework, inclusive of factors influencing farmers' decision-making to adapt to climate change, and would clarify causal relations among these factors. According to the results, household characteristics, economic factors, knowledge, motives and goals, perceived outcomes of adaptation, social, personal norms, perception of climate change, perceived risk and obstacles, attitude towards climate change, prospective perception of climate change, the evaluation of climate change, and adaptation initiatives could influence farmers' decisions to adapt to climate change.
Journal of Rural Studies, 2019
Climate change poses a major challenge for farmers, but agricultural sustainability, mitigation, and adaptation can effectively decrease climate impacts on agricultural systems. Changes in farming practices are necessary to reduce emissions and to adapt to climate change. However, such modifications to common practices depend, to a large extent, on farmers' knowledge and attitudes towards climate risks. An empirical study of farmers' attitudes and knowledge of climate change mitigation and adaptation practices is useful to understand how farmers' knowledge influences their attitudes and practices towards climate change mitigation and adaptation. Based on a case study characterised by four agricultural farming systems (extensive dairy sheep, intensive dairy cattle, horticultural farming, and rice farming) in the Province of Oristano in Italy, this study contains an investigation of (i) farmers' knowledge of climate change causes and effects, how they construct such knowledge, and how they adapt to the phenomenon; (ii) what and how are farmers' attitudes towards climate change causes are shaped under their contextual social interests and values; and (iii) if their practices in responding to climate variability are influenced by their constructed knowledge. The research results showed that farmers' declarative knowledge of climate change did not affect their adaptation practices but directed farmers' attitudes towards climate change causes. The findings also underscore the necessity of facilitating social learning spaces for enhancing virtuous behaviours towards climate change mitigation and the sharing and co-production of procedural knowledge for developing shared sustainable climate adaptation practices at the farm level.
Climate Risk Management
Although the need for agriculture to adapt to climate change is well established, there is relatively little research within a UK context that explores how the risks associated with climate change are perceived at the farm level, nor how farmers are adapting their businesses to improve resilience in the context of climate change. Based on 31 in-depth, qualitative interviews (15 with farmers and 16 with stakeholders including advisors, consultants and industry representatives) this paper begins to address this gap by exploring experiences, attitudes and responses to extreme weather and climate change. The results point to a mixed picture of resilience to climate risks. All interviewees had experienced or witnessed negative impacts from extreme weather events in recent years but concern was expressed that too few farm businesses are taking sufficient action to increase their business resilience to extreme weather and climate change. Many farmers interviewed for this research did not perceive adaptation to be a priority and viewed the risks as either too uncertain and/or too long-term to warrant any significant investment of time or money at present when many are preoccupied with short-term profitability and business survival. We identified a range of issues and barriers that are constraining improved resilience across the industry, including some lack of awareness about the type and cost-effectiveness of potential adaptation options. Nevertheless, we also found evidence of positive actions being taken by many, whether in direct response to climate change/extreme weather or as a result of other drivers such as soil health, policy and legislation, cost reduction, productivity and changing consumer demands. Our findings reveal a number of actions that can help enable adaption at the farm level including improved industry collaboration, farmer-to-farmer learning, and the need for tools and support that take into account the specificities of different farming systems and that can be easily tailored or interpreted to help farmers understand what climate change means for their particular farm and, crucially, what they can do to increase their resilience to both extreme weather and longer term climate risks.
Journal of Semi Arid Tropical Agricultural Research, 2007
We argue that more effective management of climate risk must be part of the response of the international agriculture community to the double crisis of persistent poverty and a changing climate. The most promising opportunities to adapt to climate change involve action on shorter time scales that also contributes to immediate development challenges. Climate risk management (CRM) combines systematic use of climate information, and technology that reduces vulnerability and policy that transfers risk. The cost of climate risk comes both through damaging extreme events and through forfeited opportunity in climatically-favorable years. Effective CRM therefore involves managing the full range of variability, balancing hazard management with efforts to capitalize on opportunity. We discuss several innovations for managing climate risk in agriculture, which have not yet been fully mainstreamed in international agricultural research-for-development. First, effective rural climate information services enable farmers to adopt technology, intensify production, and invest in more profitable livelihoods when conditions are favorable; and to protect families and farms against the long-term consequences of adverse extremes. Second, information and decision support systems synthesize historic, monitored and forecast climate information into forms that are directly relevant to institutional decisions (planning, trade, food crisis response) that impact farmer livelihoods. Third, innovations in index-based insurance and credit overcome some of the limitations of traditional insurance, and are being applied to pre-financing food crisis response, and to removing credit constraints to adopting improved technology. We present a typology of CRM interventions around the concept of dynamic poverty traps.
2007
We argue that more effective management of climate risk must be part of the response of the international agriculture community to the double crisis of persistent poverty and a changing climate. The most promising opportunities to adapt to climate change involve action on shorter time scales that also contributes to immediate development challenges. Climate risk management (CRM) combines systematic use of climate information, and technology that reduces vulnerability and policy that transfers risk. The cost of climate risk comes both through damaging extreme events and through forfeited opportunity in climatically-favorable years. Effective CRM therefore involves managing the full range of variability, balancing hazard management with efforts to capitalize on opportunity. We discuss several innovations for managing climate risk in agriculture, which have not yet been fully mainstreamed in international agricultural research-for-development. First, effective rural climate information services enable farmers to adopt technology, intensify production, and invest in more profitable livelihoods when conditions are favorable; and to protect families and farms against the long-term consequences of adverse extremes. Second, information and decision support systems synthesize historic, monitored and forecast climate information into forms that are directly relevant to institutional decisions (planning, trade, food crisis response) that impact farmer livelihoods. Third, innovations in index-based insurance and credit overcome some of the limitations of traditional insurance, and are being applied to pre-financing food crisis response, and to removing credit constraints to adopting improved technology. We present a typology of CRM interventions around the concept of dynamic poverty traps.
Climate Smart Agriculture
Climate change adds to the existing challenges in improving crop productivity and welfare for smallholder agricultural households by affecting the mean and variability of weather conditions and the frequency of extreme weather events. In the face of such growing uncertainty, agricultural practices of small landholders need to be adapted to better manage the changing risk structures. Since government risk management programs may complement or substitute for farmer adaptation, this chapter examines how a range of institutional interventions might assist, obstruct, channel, or change smallholder agricultural adaptation to climate change. Taken together, our results underscore the importance of the informational role of the agriculture extension, suggest that insurance can lead to significant changes in farmer planting and land management decisions, and show how information about changing conditions and insurance can be complimentary in driving changes in farmer behavior.
Ethnographic and participatory approaches to research on farmers responses to climate predictions
Climate Research, 2006
This article synthesizes the state of the art in the application of ethnographic and participatory methods in climate application research. The review focuses on 2 aspects: (1) the cognitive and cultural landscape in which farmers' understanding of climate and climate information is grounded and (2) the decision-making processes and environment which shape farmers' adaptive strategies. The first part analyzes methods to elicit how farmers perceive and predict climate events and how these perspectives relate to scientific forecasts. It addresses the long-standing question of whether and how farmers understand the probabilistic nature of climate forecasts and how they assess the credibility and accuracy of such information. The second part examines approaches to characterizing the vulnerability of decision makers and to elucidating the configuration of options and obstacles that farmers face in using climate forecasts to mitigate risk. The complexities of farmers' decisions and the difficulties of identifying the exact role that climate predictions play (and, therefore, of directly attributing impacts to them) are taken into account. Finally, the review highlights efforts to transcend the localized focus of farmer-centered approaches in order to capture interactions across sectors and scales. The review concludes by proposing that climate application research move from a 'technology-adoption' paradigm to a broader perspective on vulnerability and adaptation. This shift will entail a cross-scale, multi-sited research design and an interdisciplinary mix of interactive and structured tools and techniques. It will also require that the analytical focus be expanded to encompass local communities and their multiple action spaces as well as the higher spheres of decision-making, where policy and science are shaped.
Society & Natural Resources
Climate change adaptation requires that we anticipate future conditions that may deviate from our historical experiences. Our ability to do so is associated with the perceived proximity of decision-outcomes. Through analysis of semi-structured interviews with farmers in the northeastern United States, we conclude that temporal distance (now versus later) and social distance (self versus other) of climate impacts interact to play important roles in climate risk perception. Using Psychological Distance and Construal Level Theory, we identified two distinct temporal perspectives, historically oriented and future oriented. Our analysis suggests that climate-informed farmers use different temporal perspectives depending on whether they are asked to imagine the climate risks through a personal lens versus a lens reserved for the other.
Embedding Weather and Climate Services within an Agricultural Risk Management Framework
2008
Increased preparedness to better manage risks arising from weather or climate related events will lead to better social, economic and environmental outcomes. Such increased preparedness can be aided by forecasts. However, weather and climate forecasting is not the panacea to manage all risks. Instead, it is one of many risk management tools that sometimes play an important role in decision-making. Tailoring the required weather/climate information to decision makers requires understanding when, where and how forecasting can be used most effectively. This is a complex and multi-dimensional issue that is best addressed via a participatory, cross-disciplinary approach bringing together institutions, disciplines and people as equal partners. To create climate knowledge, climate science can provide insights into climatic processes, agricultural systems science can translate these insights into management options and rural sociology can help to determine the options that are most feasible or desirable. Any scientific breakthroughs in weather or climate forecasting capabilities are much more likely to have an immediate and positive impact if they are conducted and delivered within such a framework. In addition to problem orientation and stakeholder engagement, a better understanding of temporal and spatial variability is required for sound decision making. This can only be achieved if the uncertainties associated with forecasts are also communicated. Given the large degree of unreducible uncertainty associated with the semi-chaotic bio-physical processes that drive weather and climate systems, only probabilistic approaches to forecast dissemination should be considered.