Subsistence Farming Research Articles

Participatory modelling across Kenyan villages facilitates insights into the complexity of human–elephant interactions

Abstract Negative human–wildlife interactions are a growing problem, particularly for people living near protected areas and wildlife refuges. In Kenya, African savannah elephants Loxodonta africana threaten food security for subsistence farmers by crop foraging, which can jeopardize conservation efforts if farmers retaliate against elephants. To inform conservation and management, this study had three objectives: (1) to evaluate stakeholder participatory models of human–elephant conflict; (2) to note any novel or underrepresented variables in the models; and (3) to determine if there were indicators for assessing the success of mitigation programmes using a biocultural approach. We conducted participatory modelling sessions in six villages in rural Kenya using fuzzy cognitive mapping (n = 206 participants). Farmers created group visual models with variables related to conflict with elephants. A total of 14 variables were common across all six villages, with the two highest centrality scores (a measure of importance to overall dynamics) associated with income and feelings of security. Most variables fell into two categories: environmental interactions, and policy and management. Multiple variables such as road infrastructure (drivers) and soil compaction (consequences) were identified as aspects of conflicts that are under-reported or absent in scientific literature, as well as potential socio-cultural indicators. The participatory method used is a tool for gaining more refined insights into interactions with elephants, with implications for other complex conservation issues or wildlife interactions. A more holistic view of the impacts of human–elephant interactions as demonstrated here can lead to sustainable, co-developed programmes that benefit both farmer livelihoods and elephant conservation.

Transforming Subsistence Farming: Determinants of Sorghum Output Commercialization: The Case of Arsi Zone, Oromia Regional State, Ethiopia

Transforming Subsistence Farming: Determinants of Sorghum Output Commercialization: The Case of Arsi Zone, Oromia Regional State, Ethiopia

Livelihood diversification strategies and food security in the Weaving-based livelihood system of Gamo Zone, Southern Ethiopia

Background Livelihood diversification involves households earning through various economic activities, such as non-farm businesses, entrepreneurship, and off-farm jobs, improving sustainability, resilience, risk sharing, employment opportunities, and reducing poverty and food insecurity. However, little research has been done on the status, factors and relation of livelihood diversification and food security. This study explores the relationship between food security and livelihood diversification in the Chencha district of southern Ethiopia, focusing on determinants and their connection with household food security. Methods Quantitative and qualitative data were collected from 303 randomly selected households using surveys, key informant interviews, focus group discussions, and observations. Data were analyzed by using descriptive statistics, Herfindahl-Hirschman Index, Ordered probit regression and Pearson’s correlation coefficient. Results The result revealed that subsistence farming (52.1%) and weaving (38.6%) activities were reported as the primary and secondary main income sources of households. A majority of households (90.7%) diversified their livelihood. Based on income share, non-farm, on-farm, and off-farm income sources contributed, 72.96%, 25.3%, and 1.74% of total household income, respectively. Formal employment, weaving, barber/hairdresser, cattle production and sale, cereal production, and vegetable production (Potato) were highly paying livelihood activities in order. Households who combined on-farm, off-farm, and non-farm have gained far larger mean income followed by on-farm and non-farm strategies. Ordered Probit model results showed that landholding size, livestock holding size, and access to farmer training center (FTC) have positively affected the extent of livelihood diversification. Positive association was found between livelihood diversification and the food security status of households. Conclusion thus, the majority of weaving-based livelihood groups diversify their livelihood activities to on-farm, off-farm, and non-farm activities. Hence, supporting the weaving activity and motivating females’ participation, increasing other livelihood options, and modernizing the system with appropriate training, education, and market linkage seems inevitable.

Intensifying homestead climate-smart agriculture and the challenges to its wider adoption in Azuari watershed, Northwest Ethiopia

IntroductionThe adoption of climate-smart agriculture practices (CSAPs) at the plot level is a promising yet underutilized strategy in Ethiopia, where subsistence farming predominates. This study investigates the factors influencing the intensity of CSAPs on homesteads and identifies key barriers to their broader adoption.MethodsQuantitative data were collected through household surveys. Multiple Linear Regression (MLR) analysis was employed to examine the relationship between the independent variables and farmers' decisions to intensify CSAPs.ResultsThe findings reveal that slope gradient, extension contacts, farming experience, dependency ratio-induced labor, and livestock diversity significantly impact farmers' decisions to enhance CSAPs. Major barriers include insecure land tenure, poor management of open grazing, labor-intensive practices, and limited access to agricultural inputs.DiscussionTo promote the widespread implementation of CSAPs, it is imperative that these variables are prioritized in agricultural extension policies. Addressing these barriers is essential for enhancing the adoption of CSAPs, which will significantly contribute to sustainable agricultural development in Ethiopia.

Socio-Economic and Environmental Interactions in the Maasai Mau Forest Kenya: A Comprehensive Household Survey Analysis

Maasai Mau Forest contains a diversity of flora and fauna, which are a source of livelihood for the local communities and provide various valuable ecosystem services. However, it is under threat from illegal subsistence farming in the Mau catchment and its surrounding areas due to anthropogenic activities leading to deforestation. The main objective of the study was to look at socioeconomic and environmental contexts of the households to inform sustainable land management (SLM) and conservation efforts. A descriptive cross-sectional research design was employed with a study area located in the Maasai Mau Forest region, Narok County, Kenya, which comprises of communities living within and around the Maasai Mau Forest. The study participants included Maasai communities, with a study population being mainly household-headed in the Maasai Mau Forest, which mainly depended on agriculture and animal farming for their livelihoods. A multi-stage sampling approach was also used in selecting the sampling units, such as villages, which were then further stratified into different areas or locations depending on the boundaries. The final sample size comprised of 385 households. Data were collected using semi-structured household questionnaires. Data was analyzed by the software SPSS using frequencies and percentages for nominal data and means for numeric data. About 59.5% of the respondents were women, a higher proportion compared to male-headed households of 76.1%. The major source of education of respondents was primary education (49.9%) followed by secondary education (29.6%) while only 14% had no formal education. Sources of income included crop farming (37.4%); livestock production (28.2%) followed by casual employment (15.8%). About 77.9% of the households had monthly incomes of below KES 15,000. Land ownership was freehold with 97.7% of the land in the freehold status and an average of a freehold land size at 1.4 acres. Most households kept various livestock including cattle (71.7%), poultry (12.5%) followed by other livestock kept. Crop production declined from the past years; with maize (96.4%) and beans (90.9%) being the main crops grown followed by potatoes (30.6%) and wheat (29.8%). Food security was a main concern with 54% of households indicating a downward trend in crop production over time. The survey objectives were met, showing that there are challenges with socio-economic issues, resource base, agricultural productivity and food security impacting the Maasai Mau Forest. However, there are opportunities for investing in sustainable agriculture and enhancing community involvement in conservation. The study recommended an integrated conservation approach that addressed the economic related issues, improved sustainable farming practices and enhanced community involvement, by: Improving land use planning and its management; Improving agricultural productivity and increasing market access; and Increasing food and water security to support improved sustainability of the Maasai Mau Forest Ecosystem.

Groundwater flow system of the Abijata-Langano-Ziway lakes basin, Ethiopia

The Abijata-Langano-Ziway Lakes Basin (ALZLB) is situated in the Central part of the Main Ethiopian Rift. The availability and dynamics of groundwater in the Abijata-Langano-Ziway Lakes Basin (ALZLB) are primarily controlled by its geological and hydrogeological characteristics, shaped by volcanic-tectonic and sedimentary processes. The basin faces significant challenges, including drastic change in land use pattern, rapid population growth sustained by subsistence farming, over-extraction of water resources, and vulnerability to climate change and fragile ecosystems. These issues emphasize the urgent need for effective water resource management.To understand this complex system, a numerical groundwater flow model was employed to characterize the groundwater flow system within the ALZLB and examine its interaction with surface water bodies. The MODFLOW model translates the conceptual understanding of the basin's hydrogeology into a mathematical representation, allowing for numerical analysis. The model incorporates input parameters such as hydraulic conductivity and boundary conditions representing groundwater inflow and outflow. Steady-state numerical calculation was used to characterize the qualitative hydrogeological conceptual model into numerical representation and thereby describe the groundwater system.The calibrated model exhibited excellent agreement between simulated and observed groundwater levels. Statistical measures indicated a strong correlation (R2 = 0.98) and high efficiency (NSE = 0.97) in replicating the observed data. Additionally, the Mean Error (ME) of −8.3 m suggests minimal bias in the simulations. Further analysis of the histogram residuals revealed that a significant portion of the simulated values (65 % and 82 %) fell within ±20 m and ±30 m of the observed groundwater levels, respectively. This revealed the model's accuracy in capturing the groundwater system's behavior.The model identified groundwater recharge and constant head boundaries as the primary sources of groundwater inflow, contributing 445 million cubic meters per year (MCM/year) and 90 MCM/year, respectively. Conversely, constant head boundaries represented the most significant outflow pathway, with a simulated discharge of 519 MCM/year. The calibrated balance between inflow and outflow (discrepancy of −0.75 %) confirms that the model effectively simulates steady-state groundwater flow conditions. The calibrated model demonstrates the model's capability to accurately represent the basin's groundwater system.

Assessment of Dairy Farmers' Knowledge Regarding Good Dairy Farming Practices in Uttar Pradesh, India

Dairy farming is essential for households with low and moderate-income, serving as a crucial component of both subsistence and commercial farming. The dairy sector holds significant potential and offers ample opportunities to enhance the socio-economic status of farmers due to its ability to generate higher productivity and profits within a shorter timeframe compared to other businesses. The study was conducted to measure dairy farmers' knowledge level regarding good dairy farming practices in Uttar Pradesh. Being the highest milk-producing state in India, Uttar Pradesh was selected purposively for the study. Further selection of districts, blocks, and villages for two each was done randomly. While selecting respondents, 10 percent of dairy farmers from the total household of each village were considered under a proportionate random sampling method. The criteria of the respondents were the dairy farmers should have at least one lactating dairy animal at the time of investigation. From the study, it was observed that 64.85 percent of respondents had knowledge about how many days is the colostrum-free milk available from animals and 81.21 percent of respondents knew about animals going to repeat their heat cycle. The majority (97.88%) of respondents had knowledge about colostrums feeding to newborn calves and 62.42 percent respondents had knowledge about special bedding for newborn calves. 84.24 percent of respondents had knowledge about ill animals and 56.36 percent of respondents had knowledge about the proper disposal of dung. 94.24 percent of respondents knew how many workers manage 5 animals on their farm. 48.79 percent of respondents had overall knowledge about good dairy farming practices. Study identified require a clear strengthening of extension services through targeted training programs to improve the knowledge of key practices among the farming community. Another low awareness is about schemes by the government on support to farmers in terms of finances and technical means. This can be improved through better communication channels by working with local cooperatives and NGOs.

Provisioning food and medicine from public forests in the United States

Forests contribute to the nutritional and medicinal needs of billions of people worldwide. In the United States, the extent and impacts of provisioning forest foods are not fittingly understood. This study seeks to elucidate the scope and scale of forest food harvest. Using publicly available data, hunting surveys and proprietary data from the Wild Harvest Initiative®, we provide estimates of the amount of foods and medicines from wild-harvested flora and fauna, and meat produced from domesticated livestock grazed on public forest lands. The evidence strongly supports the assertion that large volumes of forest-dependent fauna and flora contribute to the health and well-being of a substantial portion of the country's population. Each year, >255 thousand metric tons of forest foods and medicines are harvested across public lands of the United States. Our findings are relevant to the global challenge of providing more nutritional food to a growing population through ecologically sustainable sources. The study provides more clarity to the importance of wild flora and fauna harvesting in the United States. The case of the State of Alaska, which codifies subsistence harvesting in its constitution, exemplifies the potential benefits of recognizing the importance of these natural resources to its residents. Concerted institutional efforts recognizing the importance of forest food and medicines to people and communities would shed more light on these natural resources and could lead to improved land management and food security.

Towards sustainable land management in small islands: A Water-Energy-Food nexus approach.

The environmental and multi-sectoral challenges faced by small islands requires consideration of sustainability issues. The sustainability challenges in these regions involve in particular the achievement of a greater autonomy through the development of local resources. This is a complex system that encompasses interconnections between the resources available and the land use. In this article we focus on the study of the Water-Energy-Food (WEF) nexus, and propose an integrated and systemic approach to do so. Our contribution consists in studying food system sustainability of small islands by exploring the reciprocal influences between the valorization of local WEF resources and land use competition for various integrated WEF scenarios. Additionally, we integrate dietary behaviors and demonstrate their close interlinking with land use practices, and thus their impact on the potential for transitioning towards a more sustainable food system. To achieve this, we present a generic combined Geographical Information Systems (GIS) and robust optimization model. This model is then applied to Reunion island using collected real data. Our approach aims to assist local policymakers, at the island scale, by constructing insightful scenarios to facilitate informed decision-making. Our results highlight the need to save land space when developing local resources through effective land use management policies combined with a shift in food practices. This shift would imply in particular, to convert some of the sugarcane areas into subsistence farming. Furthermore, the results emphasize the importance of transitioning consumption practices under various integrated WEF scenarios, showcasing our model as an insightful decision-support tool.

Patterns of primates crop foraging and the impacts on incomes of smallholders across the mosaic agricultural landscape of Wolaita zone, southern Ethiopia.

Crop foraging by primates is a prevalent form of human-wildlife conflict, especially near protected areas. This behavior poses significant economic challenges for subsistence farmers, jeopardizing both livelihoods and conservation efforts. This study aimed to assess patterns of primate crop-foraging events and estimate maize damage in protected and unprotected fields in southern Ethiopia. Data were collected over 12 months between 2020 and 2021 in the Sodo Zuriya and Damot Gale districts of Southern Ethiopia. A team of six field experts and 25 farmers participated in the study, during which maize damage inflicted by primates was assessed using 25 deployed camera traps. Linear mixed models were used to explore the relationship between maize damage by primates and spatio-temporal variables. Olive baboons and grivet monkeys were found to target maize more frequently during June, July, and August. Olive baboons forage in the morning, while grivet monkeys do so in the afternoon. The average maize yield losses due to primate damage were 43.1% in protected fields and 31.4% in unprotected fields. Of the total damage, 43.1% occurred in protected fields situated 50 meters from the forest edge. Conversely, unprotected fields experienced lower rates of damage: 14.4%, 13.2%, 3.7%, and 0.1% at distances of 50 m, 100 m, 200 m, and 300 m from the forest edge, respectively. Camera traps captured 47 photos of baboons, 21 photos of grivet monkeys, and documented eight primate crop-foraging events. This study revealed that maize fields within 50 meters of the forest edge faced significant damage. Despite the use of wire mesh fencing, it was largely ineffective in deterring olive baboons and grivet monkeys. Additionally, while human guarding is often considered an effective protective strategy, these findings suggest its ineffectiveness due to inconsistent implementation. Overall, this study provides valuable insights for promoting primate conservation and mitigating human-primate conflicts.

Vegetables grafting: Green surgical fusion to combat biotic and abiotic stresses

Vegetables are considered protective foods with high nutritional value and play an important role in subsistence farming, generating more income. Vegetable crops are highly sensitive to weather fluctuations, which impact their growth, flowering and fruit development and ultimately reduce yield. Grafting has become a viable green surgical option to decelerate conventional breeding approaches to enhance resilience to biotic and abiotic stresses. It is the technique of uniting 2 plants with different genetic backgrounds to create a new one, allowing genetic differences to transfer to the scion. This process offers a better alternative to chemical sterilants in mitigating certain soil-borne diseases in vegetable crops. Solanaceous and Cucurbitaceous vegetable grafting is commercially practiced and has a greater impact in farmers’ fields. Grafting is suggested to mitigate environmental changes' negative impact on vegetable quantity and quality by enhancing physiological activities in plants grafted onto rootstocks with potential traits. This method offers insights into stress response mechanisms, improves stress tolerance and enhances vegetable yield and quality. Recent research on vegetable grafting aims to promote sustainable agriculture by offering resilient, high-yielding crop varieties, such as dual-grafted Brimato, suitable for urban and suburban areas. Research is necessary to comprehend the genetic mechanism and physiological process of grafting technology, with a focus on identifying key physiological processes associated with the characteristic features of rootstock.

Evaluation of the Sensitivity of Thirteen (13) Promising Cassava Varieties to Diseases (Viruses-Bacteria) and Pests (Mealybugs-Mites) in Central Côte d’Ivoire

Cassava (<i>Manihot esculenta</i>), a plant with starch-rich roots, plays a crucial role in global food security. For producers, it has become both a subsistence and cash crop. In Côte d’Ivoire, it ranks second among crops after yam. However, cassava is severely affected by bacteria, fungi, viruses, mites, and mealybugs, causing yield losses ranging from 20% to 90%. This study was conducted at the Food Crop Research Station (FCRS) of the National Center for Agronomic Research (NCAR) in Bouake in central Côte d’Ivoire. The plant material consisted of thirteen varieties of cassava of the <i>Manihot esculenta</i> species, from the national cassava collection. It aimed to assess the performance of thirteen promising cassava varieties, originating from the national cassava collection, against these diseases and pests under natural infestation conditions. The results revealed that the Yacé variety showed the highest sensitivity to viruses, with an incidence (I) of 96.25% and a severity index (IGS) of 2.8. In contrast, the Yavo variety was the least sensitive, with an incidence of 11.50% and a severity index of 1.3. All varieties studied demonstrated high sensitivity to bacterial blight and mite attacks, with high incidence rates observed in Bocou1 (71.25%) and Bocou3 (68.75%). However, mealybug infestation was relatively low, ranging from 8.75% (Yavo) to 33.75% (Bocou2). Except for mosaic disease, the severity indices for diseases and pests were similar across all varieties.

Herders in Transformation: Exploring Changing Landscapes in the Eastern Italian Alps

Until the structural change in South Tyrolean agriculture in the 1960s, the high pastures were important as essential fodder resources for the subsistence farming of mountain farmers, so it was primarily the farmers who were responsible for negotiating grazing rights. The task of the herder, on the other hand, was essentially to observe these rights strictly. Historically, herders in South Tyrol have played a socially marginal role, their activities focusing exclusively on the summer high pastures. But the current situation is different. Drawing on the example of one particular mountain pasture and one herder, the landscape can be understood as a “total social fact.” This landscape as a whole is able to give us a condensed account of the comprehensive changes over the past fifty years, expressed as the return of scrub, and the new embodied practices of the herder as well as the grazing animals.

Uncovering Patterns: Data Mining the Deforestation Frontier in Brazilian Cerrado

Abstract. The Brazilian Cerrado, recognized as the world's most diverse tropical savanna, has undergone significant land clearance for agriculture, cattle ranching, and charcoal production, leading to considerable loss of its natural vegetation. This deforestation disrupts major aquifers, affecting ecosystems and human populations. The Cerrado Deforestation Monitoring Project (PRODES), active since 2017, systematically maps new deforestation using satellite imagery. This study used GeoDMA, a geospatial data mining tool for analyzing complex spatial databases such as those provided by the PRODES. The study area is the Alto Parnaíba region within the MATOPIBA agricultural frontier, characterized by high rates of crop expansion and burned areas. Using PRODES deforestation data from 2000 to 2023, the study categorizes deforestation patterns into geometric, multidirectional, and diffuse types, associated with large-scale agriculture, smallholder farming, and subsistence agriculture, respectively. The analysis reveals that approximately 50% of land use trajectories are small-scale subsistence agriculture, predominantly in northern Alto Parnaíba. Unchanged large-scale farms are concentrated in the southern part of the study area, linked to annual crops. The transition from small to large-scale farms is significant in the western region. Protected areas, especially strictly protected conservation units, show minimal changes in native vegetation. This study highlights the expansion of large-scale agriculture in MATOPIBA, emphasizing the need for targeted interventions to manage land use changes and prevent further deforestation. Future research should extend this approach to other Cerrado ecoregions to improve the detection and analysis of deforestation processes.

Children, common bracken and cows at work: re-considering work in multispecies relations through childhood memories

ABSTRACT Drawing on Tim Ingold’s conceptualization of taskscape, this article explores children´s being and working within the landscape through childhood memories and walking ethnography. It examines situated relationships among children, common bracken and cows as they jointly inhabited and shaped steljniki – specific patches of land in South Eastern Slovenia. In contrast to conventional perspectives that narrowly frame children’s work as either an economic necessity or an educational endeavour, our emphasis is on the symmetrical unfolding of work in the multispecies collaboration of children, common bracken and cows in shaping the landscape in keeping with the seasons, natural rhythms, topography, soil composition and temporality. Situated in the context of the subsistence agriculture of extensive farming, where children have actively participated in work for generations, our study reimagines work within multispecies relationality. This conceptual shift responds to the imperative of challenging prevailing paradigms governing the relationship between young people and the environment.

Associations of back muscle endurance with occupational back muscle activity and spinal loading among subsistence farmers and office workers in Rwanda.

Over the course of the physical activity transition, machines have largely replaced skeletal muscle as the source of work for locomotion and other forms of occupational physical activity in industrial environments. To better characterize this transition and its effect on back muscles and the spine, we tested to what extent typical occupational activities of rural subsistence farmers demand higher magnitudes and increased variability of back muscle activity and spinal loading compared to occupational activities of urban office workers in Rwanda, and whether these differences were associated with back muscle endurance, the dominant risk factor for back pain. Using electromyography, inertial measurement units, and OpenSim musculoskeletal modeling, we measured back muscle activity and spinal loading continuously while participants performed occupational activities for one hour. We measured back muscle endurance using electromyography median frequency analysis. During occupational work, subsistence farmers activate their back muscles and load their spines at 390% higher magnitudes and with 193% greater variability than office workers. Partial correlations accounting for body mass show magnitude and variability response variables are positively associated with back muscle endurance (R = 0.39-0.90 [P < 0.001-0.210] and R = 0.54-0.72 [P = 0.007-0.071], respectively). Body mass is negatively correlated with back muscle endurance (R = -0.60, P = 0.031), suggesting higher back muscle endurance may be also partly attributable to having lower body mass. Because higher back muscle endurance is a major factor that prevents back pain, these results reinforce evidence that under-activating back muscles and under-loading spines at work increases vulnerability to back pain and may be an evolutionary mismatch. As sedentary occupations become more common, there is a need to study the extent to which occupational and leisure time physical activities that increase back muscle endurance helps prevent back pain.

Nepali oral microbiomes reflect a gradient of lifestyles from traditional to industrialized

BackgroundLifestyle plays an important role in shaping the gut microbiome. However, its contributions to the oral microbiome remain less clear, due to the confounding effects of geography and methodology in investigations of populations studied to date. Furthermore, while the oral microbiome seems to differ between foraging and industrialized populations, we lack insight into whether transitions to and away from agrarian lifestyles shape the oral microbiota. Given the growing interest in so-called “vanishing microbiomes” potentially being a risk factor for increased disease prevalence in industrialized populations, it is important that we distinguish lifestyle from geography in the study of microbiomes across populations.ResultsHere, we investigate salivary microbiomes of 63 Nepali individuals representing a spectrum of lifestyles: foraging, subsistence farming (individuals that transitioned from foraging to farming within the last 50 years), agriculturalists (individuals that have transitioned to farming for at least 300 years), and industrialists (expatriates that immigrated to the USA within the last 20 years). We characterize the role of lifestyle in microbial diversity, identify microbes that differ between lifestyles, and pinpoint specific lifestyle factors that may be contributing to differences in the microbiomes across populations. Contrary to prevailing views, when geography is controlled for, oral microbiome alpha diversity does not differ significantly across lifestyles. Microbiome composition, however, follows the gradient of lifestyles from foraging through agrarianism to industrialism, supporting the notion that lifestyle indeed plays a role in the oral microbiome. Relative abundances of several individual taxa, including Streptobacillus and an unclassified Porphyromonadaceae genus, also mirror lifestyle. Finally, we identify specific lifestyle factors associated with microbiome composition across the gradient of lifestyles, including smoking and grain sources.ConclusionOur findings demonstrate that by studying populations within Nepal, we can isolate an important role of lifestyle in determining oral microbiome composition. In doing so, we highlight the potential contributions of several lifestyle factors, underlining the importance of carefully examining the oral microbiome across lifestyles to improve our understanding of global microbiomes.CnT2gR8wWnMkEju1223Bx6Video

Trends and Variability in annual and seasonal rainfall amount and timing in Wereilu district, Northeastern Highlands of Ethiopia

Studying climate change can significantly benefit agricultural practices in a country where many people rely heavily on subsistence farming. To this end, this study aimed to examine trends and variability in rainfall amounts and timing in the climate-vulnerable Wereilu district, northeastern highlands of Ethiopia. The coefficient of variation and standardized rainfall anomaly were employed to analyse rainfall variability, while the Innovative Trend Analysis (ITA) was applied to examine rainfall trends. The findings revealed that Kiremt (main rainy season) exhibited moderate variability, whereas Belg (small rainy season) exhibited high variability. The trend analysis showed significant changes in both seasonal and annual rainfall amounts and their timing. Annual and Kiremt rainfall significantly increased at Wereilu by 55.5 mm and 88.7 mm per decade, respectively, and at Kabie by 16.6 mm and 48.4 mm per decade (p < 0.01). In contrast, Belg rainfall revealed a significant declining trend at both sites. The graphical trend analysis revealed a positive trend for all clusters during Kiremt. In contrast, Belg showed a declining trend across all clusters, with a more pronounced decline in higher values at both sites. Rainfall onset dates significantly shifted towards earlier onset, while rainfall cessation dates showed insignificant late cessation. The length of the rainy season exhibited a positive trend (p < 0.01) at Wereilu and (p < 0.05) at Kabie. Overall, the observed substantial changes in rainfall amounts and timing imply the need for relevant adaptation measures, particularly in the farming system and water sector.

Challenges of Applying Circular Economy in Agricultural Sustainable Development: A Case Study of Kurdistan Province, Iran

Current production and distribution models in agriculture primarily operate based on the 'linear economy' approach. This means that after the exploitation of natural resources and the production of the final product, a significant portion of these resources and products, now contaminated or turned into waste, exit the economic cycle. The circular economy approach in agriculture seeks to reuse waste products and depleted inputs, thereby reducing the intensity of resource exploitation and taking a step towards sustainable agriculture. However, applying circular economy concepts in agriculture across different regions, especially in developing countries like Iran, can encounter various obstacles and challenges. The present study aims to identify and analyze these obstacles and challenges in the agriculture sector of Kurdistan Province, one of Iran’s key agricultural regions. For this purpose, after reviewing the literature and gathering expert opinions from the province's agrarian elites, 16 challenging factors were identified as potential barriers to expanding the circular economy in Kurdistan Province. These were examined and analyzed using the Interpretive Structural Modeling (ISM) approach. The required data were collected via a questionnaire in the spring of 2024. The research findings indicate that among the 16 factors analyzed, the key variables are the second, first, and third factors—namely, the illiteracy and low literacy rates among farmers, traditional and subsistence farming, and the small size and fragmentation of agricultural lands in Kurdistan Province. According to the experts and specialists interviewed, addressing these variables can significantly influence others, reducing the barriers and challenges facing the circular agricultural economy and the sustainable development of agriculture in Kurdistan Province.

Climate Change induced Drought and its Impact on Subsistence Farming and Food System in High Mountains: An Interpretation of Women’s Insight in a Rain-fed Watershed, Kumaon Lesser Himalaya, India

Climate Change induced Drought and its Impact on Subsistence Farming and Food System in High Mountains: An Interpretation of Women’s Insight in a Rain-fed Watershed, Kumaon Lesser Himalaya, India