Agricultural Adaptation Research Articles

Climate change adaptation and adaptive capacities of dairy farmers: Evidence from village tank cascade systems in Sri Lanka

CONTEXTDairy farmers are affected by climate change (CC). To reduce the negative effects of CC, farmers need to take numerous adaptive measures. The ability to adapt is context-specific and there is a dearth of research on the adaptation and adaptive capacity (AC) of dairy farmers in village tank cascade systems (VTCS). OBJECTIVEThe study investigates dairy farmers' perception of CC, their AC, adaptation, and the social and institutional drivers of AC and adaptation in the two selected VTCS in Sri Lanka. The knowledge of this is vital in planning specific interventions to enhance the climate resilience of farmers. METHODSThe level of CC adaptation and AC was measured using the Activity-based Adaptation Index and Adaptive Capacity Index. Using an ordered logistic regression model, the determinants of the CC adaptation were examined. Social dimensions of AC are studied by comparing AC scores across social groups differentiated by income and gender. Data were collected from 200 dairy farmers in two VTCS in the Anuradhapura District, North Central Province of Sri Lanka, where dairy farming is predominantly practiced. Pre-tested structured questionnaires were used for data collection. RESULTS AND CONCLUSIONPasture shortage, reduction in milk yield, and growth retardation of animals are reported as perceived CC effects by a majority of dairy farmers. The adaptation strategies mostly implemented by dairy farmers are aimed at reducing the effects of CC on animal physiology. A lesser number of farmers implement adaptation strategies that address pasture shortages. Farmer's perception of CC, socioeconomic characteristics and resource endowment determine the level of adaptation, while the AC moderates the relationship between perception and response to CC. The institutional and social context in which dairy farmers operate differentiates the AC of farmers. Women and poorer farmers tend to have a lower AC. The difference in AC across these social groups is explained by access to resources. The study recommends interventions to address social gaps in AC and highlights the importance of strengthening and expanding extension services and rural credit facilities. SIGNIFICANCEGlobally, fewer studies have been conducted on the impacts of climate-related risks on dairy farming systems and adaptation in comparison with such risks and adaptation in crop farming. This study provides insights into resource-poor dairy farmers' responses to CC and potential solutions in using common resources in VTCS to reduce vulnerability to CC.

Decision-making and resilience in agriculture: improving awareness of the role of accounting

Purpose Australian agriculture is facing increasingly uncertain weather patterns which is impacting financial performance, exacerbated by worsening terms of trade and a decline in commodity prices. Increasing the resilience and adaptive capacity of the primary production sector is of key importance. Governments and farmer groups often depict technology adoption as the salvation of farming, frequently ignoring the importance of decision-making processes and soft information skills and needs. The purpose of this study is to explore farmer decision-making and resilience and, in doing so, address ongoing challenges with soft information, including the inaccessibility of accounting data and a lack of awareness of its formal role in strategic decisions. Design/methodology/approach Drawing on a strategic choice perspective, we explore the links between farmer characteristics, attitudes, technology orientation, decision-making and financial performance to investigate how accounting data and tools could better support growers’ adaptive capacity. Detailed on-farm interviews were conducted with 25 grape growers across the Riverland in South Australia, with information thematically and descriptively analysed. Findings Results show that farmers with low operating profit margins spend double the time making decisions and struggle with minimising variable costs, especially water costs. Lower profit growers were also less likely to perceive climate change as a threat and demonstrated lower resilience. Originality/value The results highlight the potential for accountants to make more use of data-driven technological advances and for this information to be used to enhance on-farm strategic decision-making and support innovative business models. Simply packaged biophysical and financial data could also support strategic decisions and adaptation of farmers struggling to make a profit.

Climate change maladaptation for health: Agricultural practice against shifting seasonal rainfall affects snakebite risk for farmers in the tropics

Snakebite affects more than 1.8 million people annually. Factors explaining snakebite variability include farmers' behaviors, snake ecology and climate. One unstudied issue is how farmers' adaptation to novel climates affect their health. Here we examined potential impacts of adaptation on snakebite using individual-basedsimulations, focusing on strategies meant to counteract major crop yield decline because of changing rainfall in Sri Lanka. For rubber cropping, adaptation led to a 33% increase in snakebite incidence per farmer work hour because of work during risky months, but a 17% decrease in total annual snakebites because of decreased labor in plantations overall. Rice farming adaptation decreased snakebites by 16%, because of shifting labor towards safer months, whereas tea adaptation led to a general increase. These results indicate that adaptation could have both a positive and negative effect, potentially intensified by ENSO. Our research highlights the need for assessing adaptation strategies for potential health maladaptations.

Soil and crop management practices and the water regulation functions of soils: a qualitative synthesis of meta-analyses relevant to European agriculture

Abstract. Adopting soil and crop management practices that conserve or enhance soil structure is critical for supporting the sustainable adaptation of agriculture to climate change, as it should help maintain agricultural production in the face of increasing drought or water excess without impairing environmental quality. In this paper, we evaluate the evidence for this assertion by synthesizing the results of 34 published meta-analyses of the effects of such practices on soil physical and hydraulic properties relevant for climate change adaptation in European agriculture. We also review an additional 127 meta-analyses that investigated synergies and trade-offs or help to explain the effects of soil and crop management in terms of the underlying processes and mechanisms. Finally, we identify how responses to alternative soil–crop management systems vary under contrasting agro-environmental conditions across Europe. This information may help practitioners and policymakers to draw context-specific conclusions concerning the efficacy of management practices as climate adaptation tools. Our synthesis demonstrates that organic soil amendments and the adoption of practices that maintain “continuous living cover” result in significant benefits for the water regulation function of soils, mostly arising from the additional carbon inputs to soil and the stimulation of biological processes. These effects are clearly related to improved soil aggregation and enhanced bio-porosity, both of which reduce surface runoff and increase infiltration. One potentially negative consequence of these systems is a reduction in soil water storage and groundwater recharge, which may be problematic in dry climates. Some important synergies are reductions in nitrate leaching to groundwater and greenhouse gas emissions for nonleguminous cover crop systems. The benefits of reducing tillage intensity appear much less clear-cut. Increases in soil bulk density due to traffic compaction are commonly reported. However, biological activity is enhanced under reduced tillage intensity, which should improve soil structure and infiltration capacity and reduce surface runoff and the losses of agro-chemicals to surface water. However, the evidence for these beneficial effects is inconclusive, while significant trade-offs include yield penalties and increases in greenhouse gas emissions and the risks of leaching of pesticides and nitrate. Our synthesis also highlights important knowledge gaps on the effects of management practices on root growth and transpiration. Thus, conclusions related to the impacts of management on the crop water supply and other water regulation functions are necessarily based on inferences derived from proxy variables. Based on these knowledge gaps, we outlined several key avenues for future research on this topic.

Learning About a Warming World: Attention and Adaptation in Agriculture

Learning About a Warming World: Attention and Adaptation in Agriculture

Effects of rural tourism demonstration county establishment on the adaptability of farmers and herders to tourism

Effects of rural tourism demonstration county establishment on the adaptability of farmers and herders to tourism

Urbanization and farmer adaptation in the Bangkok Suburban area

Urbanization and farmer adaptation in the Bangkok Suburban area

The potential of local government support for climate change adaptation of lowland rice farming

Climate change has impacted the production and productivity of agricultural commodities, including rice as the main food crop. All parties must play an active role in overcoming climate change impact, coming under the local government. This study was carried out by performing focus group discussions (FGD) and filling out questionnaires to identify the potential, opportunities, and problems faced in supporting climate change adaptation. A SWOT analysis was employed by considering Strengths, Weaknesses, Opportunities, and Threats. The study was conducted in two regencies in Central Java Indonesia, namely Purworejo and Banjarnegara, where a climate change adaptation program has been initiated. Local government support is needed to get continuity of climate change adaptation. The results show that the potential of local government support for climate change adaptation should prioritize the Strength Opportunity (SO) strategy. The choice of SO strategy is based on various strengths owned by the local government and many opportunities which can still be reached by growing people’s awareness of climate change. The alternatives of local government support are providing information and appropriate innovations for climate change adaptation. Public awareness and willingness are means for successful adaptation. Physical program supports, such as infrastructure, should be equipped with non-physical programs and local regulations as reinforcement.

Scheduling of Irrigation Based on IW/CPE for Aerobic Rice – A Review

The scheduling of irrigation according to the ratio between irrigation water depth (IW) and cumulative pan evaporation (CPE) rate for aerobic rice. During these days, the shortage of water resources is increasing continually due to climate change. It has led to the adaptation of rice farming under aerobic conditions. This saves irrigation water, labour, eliminates puddling, reduces seepage, percolation losses, and methane emissions. Aerobic rice cultivars produce higher plant growth, physiological, root growth, yield, water use efficiency, productivity, and soil nutrient uptake under different (0.6, 0.8, 1.0, 1.2, 1.4, 1.5, 2, and 2.5) IW/ CPE ratios. Under these irrigation schedules, the yield of rice in aerobic soil is recorded at between 4.5 and 7.1 t ha-1 and the water use efficiency is from 25 to 70 kg ha-1. However, the decline in yield or even crop failure under continuous monocropping, weeds, nematode problems, and aerobic rice micronutrient deficiency Our important findings in aerobic rice are: (1) Scheduling of irrigation based on various IW/ CPE ratios recorded the higher rice plant height, number of tillers hill-1, dry matter production, leaf area index, crop growth rate, relative growth rate, root length, productive tillers, number of grains panicle-1, number of filled grain panicle-1, total number of grains panicle-1, test weight and yield; (2) The last 15 years of aerobic rice research findings focused on irrigation scheduling by IW/CPE ratio for driving economic water use; and (3) nutrient uptake increased with irrigation at more than 1.0 IW/CPE ratio with depth of 5 cm irrigation water. Declining water availability due to climate change makes it necessary to conduct more research on irrigation scheduling in rice crops in order to increase yield and water use efficiency.

Banyumas and It’s Surround Region Farmers Adaptation to Three Years La-Nina 2020-2022

Normal rainy season follows the annual normal rain pattern, which takes place during the rainy season in tropical rain areas. During the last three years (2020–2022), the Banyumas Regency rainfall and its surroundings have been above normal. The significant rainfall fell in all months including May to October (dry season), so that that was a prolonged (La-Nina). To that, farmers made adaptations to crop cultivation and soil tillage with the aim of being able the land and cultivated plants productive. Related to this adaptation, survey research on La-Nina adaptation of farmers has been carried out. Survey research used a questionnaire interview technique of selected farmers groups: medium-highland (400–700 MASL) and lowland (50–250 MASL) of selected villages (Banyumas and Banjarnegara Regency. Data was processed by tabulation, descriptive analysis, and map. The selected villages were 21 villages with 66 respondents in this study. The results show: (1) the adaptation pattern of farmers obtaining adaptive rice varieties and vegetable crops, (2) organic fertilization lead land productive and adaptive La-Nina crops in three years, and 3) local wisdom, organic fertilizer, and selected adapted crops can be as a mix model farmer and region to adapt prolong rainy seasons.

Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China

AbstractUnderstanding how crop phenology responds to climate change is critical for enabling agricultural adaptation measures. Pre‐season temperature alone leads to well‐understood changes in crop phenology. Nevertheless, the modulation effect of concurrent precipitation extremes on the response to temperature extremes has been largely under‐addressed. Here, we investigate the response of rice transplanting dates to pre‐season temperature extremes and reveal the modulation effects of concurrent precipitation extremes by using station‐observed rice transplanting dates from 1981 to 2018 across mainland China. We also evaluate the performance of a remotely sensed phenology product, ChinaCropPhen1km, in reproducing the above temperature responses and modulation effects. Our results showed that transplanting dates tended to advance in response to an extremely hot pre‐season, while concurrent extreme drought offset the advance by up to 2.6 days. Transplanting dates tended to be delayed in response to an extremely cold pre‐season, while concurrent extreme precipitation exacerbated the delay by up to 1 day. Responses to temperature extremes and modulation effects were divergent across different regions. Under extremely hot conditions, transplanting dates advanced further in hotter and wetter regions, while under extremely cold pre‐seasons, transplanting dates delayed less in colder and drier regions. Transplanting dates from the ChinaCropPhen1km product underestimated the responses to temperature extremes by up to 4.7 days and detected the opposite modulation effect compared to those obtained from observations. Our results highlight that the need to improve our understanding and modeling of modulation effects of precipitation extremes on temperature–phenology relationship, which benefits the field of agriculture risk analysis and climate change adaptation.

Evaluating future changes in the South Indian Ocean Convergence Zone projected by CMIP5 models and associated uncertainty

Southern Africa relies heavily on precipitation for agricultural purposes; therefore, spatial and temporal changes in precipitation are crucial to identify and understand. The South Indian Ocean Convergence Zone (SIOCZ), a large-scale, austral summer rainfall feature extending across southern Africa into the southwest Indian Ocean, is evaluated in future projections. Using a best-fit algorithm, future projections of the SIOCZ are determined, which indicate a northward shift of approximately 120 km in CMIP5 models under RCP8.5. A dipole pattern of precipitation wetting/drying is evident, where wetting occurs to the north of the climatological axis of maximum rainfall, implying a northward shift of the Inter Tropical Convergence Zone, consistent with the SIOCZ shift. Common drivers responsible for model changes include enhanced warming in the northern Indian Ocean in line with the ‘warmest-get-wetter’ sea surface temperature hypothesis, which impacts circulation by transporting moisture away from the SIOCZ towards the equator. Most CMIP5 models exhibit drying trends over the SIOCZ region, with mechanisms driving uncertainty related to diverse warming trends across models. Empirical orthogonal function patterns of future precipitation changes across CMIP5 models exhibit a pattern much like the SIOCZ, which is related to inter-model changes in future temperature changes. Reductions in model spread are established in SIOCZ projections, whereby model processes of change exhibit agreement, despite differing initial SIOCZ conditions. Therefore, model process convergence and coherence are established with respect to projected changes in the SIOCZ, irrespective of initial climatology biases. Understanding future changes in this feature will help inform decision-making for water and agriculture adaptation planning in southern Africa.

The financial value of seasonal forecast-based cultivar choice: Assessing the evidence in the Central Rift Valley of Ethiopia

Among many other options, seasonal weather forecasts and the use of cultivars that are better adapted to local climate and climate variability have been discussed as two potential supporting measures to assist farmer adaptation to climatic variability and change. In this article, we evaluate the potential benefit of combining these two measures, i.e., choosing specific crop varieties based on seasonal forecasts – focusing on the Central Rift Valley in Ethiopia. We base our value of information analysis on the available records of field trial data for publicly released crop varieties. We find that experimental evidence must be extended and improved in order to provide reliable evidence of yield performance differences between crop varieties, which is an essential prerequisite for exploiting forecast information. Classification of cumulative seasonal rainfall based on the modified Rainfall Anomaly Index provides a sharper distinction than using the standard tercile-based approach employed in the Ethiopian seasonal forecast communication. Even with a fairly optimistic interpretation of the evidence with respect to exploitable yield differences, we find only modest benefits of seasonal forecasts at realistic forecast accuracy for the region. Given the empirical limitations when assembling long-run yield data, the presented results have to be understood as a first approximation. Apart from sufficiently accurate forecasts, success of forecast-based cultivar choice will depend on (i) more reliable evidence on performance differences between crop varieties under different weather conditions, and (ii) changes in the current seed breeding and distribution system in developing countries, because the full potential of high-accuracy seasonal forecast information could only be tapped, if forecast-matching cultivars are being made available to farmers in time.

DECISION-MAKING PERSPECTIVE ON DIVERSIFYING FARM SYSTEMS FOR CLIMATE CHANGE ADAPTATION AND PROMOTING ORGANIC AGRICULTURE

Climate change adaptation refers to natural or human systems changes in response to current or predicted climatic stressors or their consequences. For example, farmers may adapt to unexpected floods, irregular rainfall, or temperature changes. Effective adaptation planning requires data on the effects of real farmer adaptation on agriculture yields. However, analyzing the consequences and outcomes of adaptation and providing practice recommendations can be challenging. The effectiveness of facilitating learning among participants about adaptation practice and planning can be assessed using a social learning-based evaluation methodology. Climate-smart agriculture, which involves adapting to and anticipating shifting weather patterns, can increase agricultural production. A mixed, diverse or diversified system can better withstand the effects of climate change. Successful adoption of technology and environmental and social concerns has been demonstrated in decent agriculture practices in every agro-ecological zone.

An online Indigenous Knowledge Database on Climate Change Adaptation of Farmers in the Vietnam Mekong Delta

Background and objective: For countries vulnerable to climate change as Vietnam, indigenous knowledge (IK) might assist in revealing the values of local people's adaptations to environmental stresses and potentially support decision-making. Despite IK can provide the adaptive capacity of local people's activities within environmental contexts, but it is rapidly vanishing. This study aimed to describe the documentation of IK associated with climate change adaptation of farmers in the Vietnam Mekong Delta (VMD).Methods: We focused on collecting and establishing online access to IK documents through collaboration between IK holders, public sector, collecting institutions, and researchers in the five agro-ecological zones of the VMD. An online IK database for storing IK documents has been designed and implemented based on the web application schema.Results: Through interviews, we gathered IK from farming practices that are well-adapted to climate risks such as floods, droughts, and saltwater intrusions as well as traditional knowledge being used to forecast weather, flood, and saltwater intrusion. The database for storing IK documents has been successfully deployed using free and open-source software. The database currently contains more than 260 IK documents, with their location on agro-ecological zones displayed on a web-based map.Conclusion: We have captured and provided an online access to IK on climate change adaptation of the farmers in the VMD. This research is expected as an initial strategy for long-term sustainable development of the agriculture system in this region.

Climate Adaptation in Rain-fed Agriculture: Analyzing the Determinants of Supplemental Irrigation Practices in Nepal

Climate change has severely impacted the rain-fed agricultural production system which is dominant in Nepal. This situation demands implementable strategies like supplemental irrigation for mitigating adverse impacts. In spite of the importance of supplemental irrigation, it is not adopted on a wider scale. Hence, this paper aims to assess perceptions of climate change and identify factors that influence the adoption of supplemental irrigation practices. Climate change impact survey data for Province No. 1 (one of the seven provinces in Nepal) with a sample of 800 households were analyzed by using the probit regression model. The results showed that the majority of the farmers perceived increasing temperature and decreasing precipitation, resulting in climate-induced disasters such as drought. Similarly, only about 27% of the households have adopted supplemental irrigation practices. The significant factors influencing the adoption of supplemental irrigation practices were the household head’s number of years of farming experience and education level, distance to motorable roads, operational size of landholding, membership in community-based organizations, and the perception of changes in summer temperature. Considering the empirical results, it is necessary to undertake research on sustainable practices and develop support measures for scaling up this practice as the adoption of this practice is very low in Province No. 1. The policy and strategy should also emphasize enhancing the capacity of farmers in technical and managerial aspects of supplemental irrigation practices, raising awareness about climate change and its impact, and strengthening community-based organizations for sharing and exchanging knowledge and skills. In addition, creating additional employment opportunities to enhance the income of the farmers for mitigating the capital constraint and increasing investment in infrastructures like roads for improving physical access thereby promoting adoption.

Interregional comparative analysis of farmers’ perceptions and expectations of climate change

This study looked into the relationship and effects of agricultural activities in different regions of Turkey on climate change. This study aims to determine farmer awareness of climate change and its effects, as well as farmer adaptation capabilities in different regions of Turkey against climate change, and to develop extension and policy tools based on the findings. Data were collected through face-to-face surveys with farmers in the provinces where the research was conducted. In this context, a proportional sampling survey of 418 farmers was conducted. The collected information was subjected to factor analysis and the independent t-test. According to the findings, farmers associate climate change with precipitation, and the effect of precipitation and the risks it poses in increasing or decreasing crop yields are of particular concern. Farmers in the Southeastern Anatolia Region are more concerned about heat and drought than farmers in the Mediterranean Region. Furthermore, producers believe that human-caused factors and economic development have a greater impact on climate change than agricultural activities. Farmers in research areas are concerned that climate change will increase migration from rural areas and the decline of forests and animal species. As a result, raising individual awareness and utilising new technology in rural areas is critical. Farmers’ awareness of new and environmentally friendly agricultural techniques must be raised to increase their use. Highlights - Farmers associate climate change with drought. - According to the farmers, the leading factors causing climate change are human-induced factors that disrupt the ecological balance. - The most important concern regarding the effects of climate change is that production costs will increase. - Farmers are reluctant to implement adaptation or mitigation methods that can be developed against climate change.

Study of High-Temperature-Induced Morphological and Physiological Changes in Potato Using Nondestructive Plant Phenotyping.

Potato (Solanum tuberosum L.) is vulnerable to high temperatures, which are expected to increase in frequency and duration due to climate change. Nondestructive phenotyping techniques represent a promising technology for helping the adaptation of agriculture to climate change. In this study, three potato cultivars (Agria, Bellarosa and Desiree) were grown under four temperature treatments: 20/15 °C (T1), 25/20 °C (T2), 30/25 °C (T3), and 35/30 °C (T4). Multispectral and chlorophyll fluorescence imaging, 3D multispectral scanning, and gas exchange analysis were used to study the effect of moderate heat stress on potato morphology and physiology and select phenotypic traits most responsive to increased temperatures. The most responsive morphological traits to increased temperatures are related to decreased leaf area, which were detected already at T2. Increased temperatures (already T2) also changed leaf spectral characteristics, indicated by increased red, green, and blue reflectance and decreased far-red reflectance and anthocyanin index (ARI). Regarding chlorophyll fluorescence, increasing temperatures (T2) caused an increase in minimal fluorescence of both dark-adapted (F0) and light-adapted (F0') plants. Stomatal conductance, transpiration rate, photosynthetic rate, instantaneous water use efficiency (WUE), and intrinsic water use efficiency increased from T1 to T3 and decreased again in T4. Using recursive partitioning analysis, the most responsive potato phenotypic traits to increased temperature were leaf area projected (LAP), ARI, F0, and WUE. These traits could be considered marker traits for further studying potato responses to increased temperatures.

Socio-Economic Vulnerability and Adaptations of Fish Farmers to Climate Variability and Extreme Climate Events in Selected Parts of Kitui County, Kenya

Climate variability and extreme climate events is one of the many challenges faced by fish farmers. The present study was carried out to assess and compare the socio-economic vulnerability and adaptations of fish farmers to climate variability and extreme climate events in arid and semi-arid lands of Central and Eastern parts of Kitui County, Kenya. Both study sites were purposively selected and the descriptive research design adopted. A total of 60 fish farming households were randomly selected to form the sample size for the study. The socio-economic vulnerability analysis of the fish farmers was based on an index constructed from carefully selected indicators for adaptive capacity. Principal Component Analysis was used to give weights to the indicators. The overall adaptive capacity index results revealed that possession of various assets varied between the two study sites, implying a spatial difference in socio-economic vulnerability between the two study sites. Regarding adaptation, results revealed that the level of adoption of various adaptation strategies to climate variability and extreme climate events also differed significantly between the two study sites and was subject to the adaptive capacity of the fish farmer. Therefore, this study recommends that the socio-economic vulnerability profile of the fish farmers inform any adaptation actions to be taken on fish farmers in arid and semi-arid lands

Awareness of Climate Change Impact and Adaptation in Agriculture – The Case of Albania

Abstract The Albanian agriculture sector is deeply affected by climate change. To cope with climate change, it is necessary to understand its consequences. The views of agriculture extension service experts are crucial in improving farmers’ understanding and resilience, especially when farming practices are poorly adapted to the changing climate. This paper analyses the risks from climate change and the adaptive capacity of farmers based on an expert evaluation survey. The respondents identified prolongation of drought durations, rising temperatures, above-average occurrences of floods, pre-seasonal rainfall and frost as primary risks during recent years. Extension experts view a high (negative) impact from climate change through processes such as increased plant diseases occurrence, increased exposure to rodents, harmful insects and pests for plants and livestock, as well as forest and pasture degradation. The paper also provides experts’ opinions on the policy implications, such as considerations about adaptation strategies towards climate change.