Farmers' perceptions of climate change and adaptation behavior in Wushen Banner, China

What drives farmers' behavior under climate change? Decoding risk awareness, perceived impacts, and adaptive capacity in northern Italy

Understanding climate change in a precise and timely manner may assist in gauging the occurrence and seriousness of its impacts, thereby boosting the adaptive capacity and responsiveness of farmers. This investigation looks into farmers' knowledge of climate change, their perception of risks and impacts, and the strategies they anticipate to tackle the challenges of adaptation. A well-structured online survey covering risk awareness, perception, and adaptation was used to randomly sample 460 respondents from 12 irrigation districts in northern Italy. Descriptive and multivariate statistics, including structural equation modeling, were employed to outline the profiles of farmers, explore the drivers shaping their behavior, and disentangle the magnitude and direction underpinning their adaptive capacity. Findings revealed that farmers recognize changes in climate and perceive its variability and effects, such as rising temperatures, extreme heat events, and irregular precipitation. Farmers blend adaptive measures, including climate services and insurance, with preventive mechanisms like reducing fertilizer use, rotating and diversifying crops, and introducing soil conservation techniques. However, they encounter obstacles such as poor government assistance, expensive investments and overlay intricate regulations. Regarding decision-making processes, the structural model demonstrated that 1) recognizing climate change can sensibly predict alterations in farmers' behavior concerning climate impacts while 2) there is a lack of correlation between perceiving risks and implementing risk adaptation measures. Interestingly, factors such as farming experience, farm size, area under irrigation, and primary crop type significantly influence how risks are perceived and what measures are adopted. In light of these results, we offer guidance for upcoming research.

An assessment of priorities in handling climate change impacts on infrastructures

Climate change (CC) will likely significantly impact the world's infrastructure significantly. Rising temperatures, increased precipitation, and rising sea levels are all likely to stress critical infrastructures (CI). Rising temperatures can lead to infrastructure damage from extreme heat events. This can cause roads and bridges to buckle or crack, leading to costly repairs and potential traffic disruptions. In addition, heat waves can damage vital electrical infrastructure, leading to widespread power outages. In light of this context, this article reports on a study which examined the connections and impacts of CC on infrastructure. The study employed a mixed-method approach, combining bibliometric analysis for the period 1997-2022 with a series of relevant case studies from the five continents to offer insight into the impact of CC on infrastructure. The article fills a research gap in respect of assessments of the extent to which climate change (CC) negative influences the infrastructure, with a special focus on developing countries. It also showcases CI projects and adaptation measures being currently deployed, to address CC. The results show that the current infrastructure is vulnerable to CC. The selected case studies on CI adaptation show that in developing and industrialised countries, there is a perceived need to understand better the connections and potential impacts of CC on critical areas such as transport, settlements, and coastal infrastructure. In order to protect infrastructure from CC impacts, governments need to invest in measures such as flood control, early warning systems, and improved building codes. Additionally, they need to work to reduce greenhouse gas emissions more actively, which are the primary cause of CC.

Incentives for promoting climate change adaptation technologies in agriculture: an evolutionary game approach

Climate change adaptation technologies (CCATs) have become increasingly important for farmers as they face the challenges of climate change and natural disasters. Despite this, many rural areas still rely on traditional agricultural techniques. To promote the adoption of CCATs in agriculture, it is necessary to explore the incentives and conditions for the effectiveness of the policy. We develop an evolutionary game model to analyze the behavior of local governments and farmers in promoting CCATs. Our findings indicate that, under certain conditions, the promotion of CCATs can achieve equilibrium. The incentive for farmers to adopt CCATs increases within a certain range when local governments provide risk subsidies and cost sharing. When subsidies are too high, however, local governments may choose not to promote CCATs, which reduces the incentives for farmers to adopt them. Publicity is also an important factor in promoting CCATs. Our study provides insight into the development of policies aimed at promoting CCATs in agriculture.

Smallholders' resilience-building adaptation and its influencing factors in rainfed agricultural areas in China: based on random forest model

In recent years, extreme events and risks have increased under the background of global warming, which influenced agricultural production significantly. Adaptation has been considered as a key pathway to enhancing smallholders' climate resilience. We selected a total of 903 smallholders using the multi-stage random sampling technique in rainfed areas in China, and then collected the survey data through the structured questionnaire and focus group discussion. Three resilience-building adaptation indices (RBAS-A, RBAS-D and RBAS-I) were constructed by the entropy method, whose mean values were 0.378, 0.336, and 0.602, respectively. Furtherly, the random forest model was used to explore influencing factors of climate-resilient adaptation strategies. The results revealed that education level of household head, family size, farmland size, access to information by mass media and kith and kin, perception of temperature change in summer and winter, and perception of crop yield change were the significant factors influencing smallholders' alteration strategies. Meanwhile, age and education level of household heads, off-farm income, farmland size, mass media, and perception of winter temperature changes had significant effects on the diversification strategies. Moreover, demographic characteristics, socioeconomic characteristics, information access and climate change perceptions, and impacts had significant impacts on intensification strategies. Importantly, we found that there was a certain threshold for the impact of several factors on the constructed composite indices. And the impacts of the perceptions of temperature on alteration and intensification strategies showed a V-shape. Finally, we proposed targeted suggestions for improving smallholders' climate-resilient adaptation in the rainfed agricultural areas in China.

Spatiotemporal Changes in Mean and Extreme Climate: Farmers’ Perception and Its Agricultural Implications in Awash River Basin, Ethiopia

The increase in the intensity and frequency of climate extremes threatens socioeconomic development. This study examines variability of mean and extreme climate, farmers’ perception of the changes, and impacts in the Awash River Basin. Daily rainfall and temperature data were used to analyze 23 extreme climate indices. The Mann–Kendall test was used to assess the magnitude and significance of the changes. Results show an increase in minimum (0.019–0.055 °C/year) and maximum temperatures (0.049–0.09 °C/year), while total rainfall is on a downward trend (from −3.84 mm/year to −10.26 mm/year). Warm extreme temperature indicators, including warmest day (TXx), warmest night (TNx), warm day (TX90p), warm night (TN90p), and warm spell duration indicator (WSDI), show a significant increasing trend (p < 0.05). Nevertheless, except the tepid–cool humid agroecology zone, cold extreme temperature indicators in cool days (TN10p), cool nights (TX10p), and cold spell duration (CSDI) are declining. Extreme precipitation indices, including maximum 1-day precipitation amount (RX1day), count of days when precipitation ≥10 mm (R10 mm), maximum 5-day precipitation amount (RX5day), count of days when precipitation ≥20 mm (R20mm), very wet days (R95p), extreme wet days (R99p), and total precipitation (PRCPTOT), show a decreasing trend. The perception of most farmers’ on climate change and climate extremes agreed with climate records. The major impacts perceived and asserted over all agroecologies are food price inflation, crop productivity decline, crop pests and diseases spread, livestock disease increase, and the emergence of pests and weeds. The increasing trend in extreme warm temperatures, decreasing trend in the cold extreme, and declining trend in precipitation indicators affected agricultural productivity and farmers whose livelihood depends on rainfed agriculture. This agroecology-specific study provides critical information to policymakers, decision makers, and farmers about the potential impacts of climate change and extreme events, leading to the development of agroecology-based adaptation measures.

Climate Change Resilience and Sustainable Tropical Agriculture: Farmers’ Perceptions, Reactive Adaptations and Determinants of Reactive Adaptations in Hainan, China

The adversities of a changing climate in developing countries and the related impact on agriculture are directly dependent on the adaptive behavior of local farmers towards climate change events. The perception of farmers as basic executers of agricultural production plays a crucial role in their adaptation decisions. Through a field survey of 200 farmers in Hainan, China, this study covers the methodological gap in determining the reactive adaptations for coping with the changing climate and the underlying factors of farmers’ adaptive behavior. The results indicated that the smallholder farmers are well aware of climate change, and the majority of them are taking adaptive measures such as following up on weather forecast, changing crop varieties, conserving agriculture through soil conservation and/or agroforestry, modifying different farm operations, increasing investment in infrastructure, increasing non-agricultural income of household, switching to new genetically modified cultivars, and engaging in water conservation methods. A binary logistic regression analysis was performed to study the determinants of farmers’ adaptive behavior, and the results highlighted 10 significant factors affecting farmers’ adaptations, including the age and gender of the farmer, non-agricultural income, training, credit access, policy demand, and perceived changes in climate change events. Our results are in line with the extant literature. The percentage of consistency (POC) was also calculated to evaluate the BLR results, and the overall POC was 60.7%. On the policy front, several suggestions are made based on derived conclusions, such as arranging training programs as a supplement to policymaking, incorporating significant factors for the development of high protection capacity, accounting for gender differences, and supporting crop insurance via subsidies.

Constructed Wetlands to Face Water Scarcity and Water Pollution Risks: Learning from Farmers’ Perception in Alicante, Spain

Treated wastewater is constantly produced and relatively unaffected by climatic conditions, while Constructed Wetlands (CWs) are recognized as green technology and a cost-effective alternative to improve treated wastewater quality standards. This paper analyses how farmers consider (1) treated wastewater to face water scarcity risk and (2) CW as mechanisms to face agricultural water pollution in a climate change adaptation context. A survey about climate change perception and adaptation measures was answered by 177 farmers from two irrigation communities near El Hondo coastal wetland and the Santa Pola saltmarshes, both perceived as natural-constructed systems in Alicante, southern Spain. Results highlighted how, even with poor-quality standards, treated wastewater is considered a non-riskier measure and more reliable option when addressing climate change impacts. Overall, physical water harvesting (such as CWs) is the favorite choice when investing in water technologies, being perceived as the best option for users of treated wastewater and those concerned about water quality standards. Consequently, CWs were recognized as mechanisms to increase water supply and reduce water pollution. Policy-makers and water managers can use these learnings from farmers’ experience to identify the main barriers and benefits of using treated wastewater and CWs to address water scarcity and water pollution risks.

Two Sides of the Same Coin: Environmental and Health Concern Pathways Toward Meat Consumption

The dramatic increase of meat production in the last decades has proven to be one of the most impacting causes of negative environmental outcomes (e.g., increase of greenhouse emissions, pollution of land and water, and biodiversity loss). In two studies, we aimed to verify the role of key socio-psychological dimensions on meat intake. Study 1 (N = 198) tested the predictive power of an extended version of the Value-Belief-Norm (VBN) model on individual food choices in an online supermarket simulation. In an online survey, participants were directed to a virtual shop and asked to buy food within a set amount of money. Subsequently, they completed measures of behavioral intention, the VBN constructs (values, general pro-environmental beliefs, awareness of consequences, ascription of responsibility, and personal norm), and social norms (injunctive and descriptive). The outcome variable was operationalized in terms of percentage of expenses dedicated to meat and processed meat items, which provided a more robust behavioral measure than the common self-reported ones. Results confirmed the VBN sequential path, showing direct effects of biospheric values and descriptive norm on personal norm. Furthermore, a proof of validity for the new behavioral measure was provided (medium-sized correlation with behavioral intention). Study 2 (N = 218) aimed at verifying whether the meat consumption could be also motivated by a health concern, reflecting individual (cost/benefit) considerations, besides pro-environmental drivers. Results showed the direct impact of health concern and confirmed the indirect role of biospheric values and descriptive norm (via personal norm) on meat intake. This evidence would suggest the use of multiple-frame messages, highlighting both pro-environmental and health consequences, for meat consumption reduction. Nevertheless, the different implications of moral (e.g., environmental concern) vs. non-moral motivators (e.g., health concern) for reducing meat intake need to be stressed: indeed, the first drivers are more central for self-identity and for engaging in environmental citizenship behaviors.