Agricultural Systems最新文献

{"title":"The influence of market access on grain legume adoption and intensity in African small-holder households","authors":"Andrew P. Barnes ,&nbsp;James Hammond ,&nbsp;Tarirai Muoni ,&nbsp;Alan Duncan","doi":"10.1016/j.agsy.2026.104647","DOIUrl":"10.1016/j.agsy.2026.104647","url":null,"abstract":"<div><h3>Context</h3><div>Grain legumes have been promoted to support nutrition, soil quality and income growth. However, uptake is generally low across African smallholders and a number of studies have identified lack of market access for legumes as a main constraint.</div></div><div><h3>Objective</h3><div>The study employs a cross-sectional dataset of 20,218 smallholder households across 10 African countries to explore the level of legume intensity and the characteristics and determinants of adoptionl.</div></div><div><h3>Methods</h3><div>An indicator of grain legume intensity is derived on individual plot areas. To accommodate both the high amounts of non-adoption and the differences in the distribution of intensity observed by country we employ a zero-inflated beta regression.</div></div><div><h3>Results and conclusions</h3><div>There is little diversity in grain legume species planted, though Kenya has the most diversity in legumes grown. Mean legume cultivation intensity ranges from 8% of total cropping area to over 25% in Zambia and Ethiopia. The influence of market access for legumes is a strong and significant predictor of intensity. Conversely, we find the presence of markets for cash crops reduces the incentive to adopt legumes.</div></div><div><h3>Significance</h3><div>Development strategies should combine household-level interventions with broader market-oriented approaches, as improving legume market access is essential for scaling legume production and enhancing food security, income diversification, and ecological resilience across the region. By analysing a large sample of households across diverse agro-ecological zones, we provide generalizable evidence that complements localized studies. Estimating the decision to both cultivate and intensify legumes within the same model reveals a duality that emphasizes the need for targeted interventions to strengthen legume markets.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104647"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146073690","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating agroecological suitability of cacao (Theobroma cacao L.) with biodiversity and land-use constraints in Peru","authors":"Alexander Cotrina-Sanchez ,&nbsp;Betty K. Guzman ,&nbsp;Elgar Barboza ,&nbsp;Manuel Oliva ,&nbsp;Angel Fernando Huaman-Pilco ,&nbsp;Nilton B. Rojas-Briceño","doi":"10.1016/j.agsy.2026.104637","DOIUrl":"10.1016/j.agsy.2026.104637","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Cacao cultivation is vital for rural economies in Peru, but its expansion often overlaps with sensitive ecosystems, raising concerns for biodiversity conservation. Despite international commitments to deforestation-free supply chains, integrated analyses combining agroecological suitability with land-use constraints remain scarce in Peru.</div></div><div><h3>OBJECTIVES</h3><div>This study aims to identify suitable areas for cacao cultivation under multiple exclusion scenarios, evaluate conflicts with biodiversity and conservation areas, and quantify degraded lands that could provide opportunities for agroforestry-based restoration.</div></div><div><h3>METHODS</h3><div>Cacao suitability was modelled with an ensemble of nine machine-learning algorithms using bioclimatic, edaphic, and topographic predictors. Outputs were filtered to exclude biophysical barriers and overlaid with national-scale layers of species richness, protected areas, forest cover, and degraded lands through GIS-based spatial analysis to evaluate exclusion scenarios and trade-offs.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The ensemble achieved high predictive power, with Random Forest (AUC = 0.997) and XGBoost (AUC = 0.972) performing best. Highly suitable areas were concentrated in the Andean-Amazon transition, especially in San Martín, Cusco, Huánuco, and Junín departments, where they overlapped with biodiversity hotspots and legally protected areas. Degraded yet suitable lands highlighted opportunities to expand cacao through agroforestry systems, reducing forest pressure and enhancing ecological restoration.</div></div><div><h3>SIGNIFICANCE</h3><div>By integrating suitability modelling with national-scale geospatial layers, this study delivers a framework linking crop suitability with land-use constraints. The findings support national-scale planning while remaining adaptable to local contexts. They also align with international policy frameworks such as the European Deforestation Regulation (EUDR), promoting sustainable cacao production, biodiversity conservation, and long-term rural development in Peru.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104637"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146071710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Responses of African food systems to climate change: A systematic review of concepts, methods, and evidence","authors":"Mark Appiah-Twumasi ,&nbsp;Cornelis Gardebroek ,&nbsp;Rico Ihle ,&nbsp;Isaac G.K. Ansah","doi":"10.1016/j.agsy.2025.104577","DOIUrl":"10.1016/j.agsy.2025.104577","url":null,"abstract":"<div><h3>Context</h3><div>African food systems are highly vulnerable to external shocks, especially climate change, yet remain central to achieving the Sustainable Development Goals. Research on the intersection of food systems and climate change in Africa is fragmented and lacks coherence in conceptual frameworks and measurement approaches.</div></div><div><h3>Objective</h3><div>This study systematically reviews the peer-reviewed literature in life sciences, biomedicine and economics to assess how African food systems are conceptualized in the context of climate change, evaluate the methods used to study climate impacts, and synthesize empirical findings related to food security, nutrition, social welfare, and environmental sustainability.</div></div><div><h3>Methods</h3><div>We systematically review 56 peer-reviewed studies published between 2007 and 2024. Studies were selected using PRISMA guidelines and analyzed using thematic synthesis grounded in food systems and systems theory. We categorize conceptual approaches and assess methodological and empirical patterns across the selected literature.</div></div><div><h3>Results and conclusions</h3><div>Two conceptual models dominate. Complete models integrate environmental, social, and institutional linkages to capture systemic feedbacks and governance structures, while partial models focus on localized adaptation processes and actor interactions. The choice of the approach depends on the research objectives, data availability, and analytical scale. Most studies use qualitative or cross-sectional methods, limiting quantification of resilience or actor-level trade-offs—such as tensions between producers and consumers or between food security and environmental sustainability. Armed conflict or informal resource extraction are rarely integrated into climate–food system models despite their growing importance. Future research is recommended to employ hybrid, data-driven frameworks that link actor-specific dynamics with system-level feedbacks, operationalize resilience metrics, and assess the coherence of climate and food policies across all geographical and analytical scales.</div></div><div><h3>Significance</h3><div>The African Union's “Decade of Action” (2021−2030) calls for science-policy efforts to address persistent development challenges through a food-systems lens. This review contributes to scientific progress and policy formulation by providing an actionable conceptual framework, synthesizing existing evidence, identifying research gaps, and proposing a future research agenda focused on resilience measurement, policy alignment, and integrated modeling of climate, conflict, and food-system interactions.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104577"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145697396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen dilemma in Chinese crop-livestock systems: Assessing mitigation potential and exploring optimization pathways from the perspectives of utilization efficiency and pollution hotspots","authors":"Zhijian Wu ,&nbsp;Han Liang ,&nbsp;Zhong Liu ,&nbsp;Haijiao Du ,&nbsp;Liujie He ,&nbsp;Zeyang Xie ,&nbsp;Jinqi Zhu ,&nbsp;Bofu Zheng ,&nbsp;Wei Wan","doi":"10.1016/j.agsy.2026.104642","DOIUrl":"10.1016/j.agsy.2026.104642","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Crop-livestock systems in China have become the primary agricultural nitrogen (N) pollution source owing to fertilizer overuse and poor manure management. Yet city-scale analyses of nitrogen use efficiency (NUE) trends and loss hotspots remain insufficient. Current evaluations fail to fully account for spatial variations in farming practices, natural conditions, and sector-specific contributions to N losses.</div></div><div><h3>OBJECTIVE</h3><div>This study aims to quantify N flows, reveal NUE evolution, identify hotspots of N losses, and evaluate mitigation potentials and optimization paths for regionally differentiated N management.</div></div><div><h3>METHODS</h3><div>We improved the Nutrient Flows in Food chains, Environment, and Resources use (NUFER) model by innovatively introducing human excreta indicators and livestock localization parameters, establishing a city-scale comprehensive framework.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The system efficiencies showed marked improvement. From 2000 to 2022, NUE showed a relative increase of 39.91% (crop systems), 46.30% (livestock systems), and 43.47% (crop-livestock systems) compared to the 2000 levels, with pronounced spatial variation. High-performing crop systems (NUE &gt; 50%) clustered in the Northeast China Plain and Huang-Huai-Hai Plain (HHHP), while inefficient livestock operations (NUE &lt; 15%) predominated in western China and the Yunnan-Guizhou Plateau (YGP). Notably, fruits and vegetables (cash crops) showed significantly lower NUE than grain crops. Maize, vegetables, rice, fruits, and wheat contributed 82.29% of crop N losses, while beef cattle, pigs, and poultry accounted for 83.52% of livestock losses. Notably, fruits and dairy cattle showed the highest N loss intensities at 110.07 kg·ha⁻¹ and 31.72 kg·lu⁻¹, respectively. While NH₃ dominated most regions, runoff and erosion prevailed in the Sichuan Basin and Surrounding Regions (SBSR) and YGP. We identified concentrated hotspot regions – representing just 6.17% of Chinese land area but contributing 30.42% of national N losses - primarily located in: (i) the central and southern HHHP, (ii) the northern Middle-Lower Yangtze River Regions, and (iii) Central SBSR, Loess Plateau, and YGP. Scenario analysis demonstrated substantial mitigation potential. Integrated measures (precision fertilization, resource recycling, livestock structure optimization, and advanced manure management) could reduce synthetic N inputs by 22.64% while decreasing N losses by 5.03 Tg (31.38%).</div></div><div><h3>SIGNIFICANCE</h3><div>This study provides a scientific basis for spatially differentiated N management strategies in both Chinese and other countries' worldwide agricultural systems.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104642"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146000566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Revealing the diversity of collective experimentation in agriculture: Constructing idealtypes from French case studies","authors":"Maïté de Sainte Agathe ,&nbsp;Chantal Loyce ,&nbsp;Lorène Prost ,&nbsp;Quentin Toffolini","doi":"10.1016/j.agsy.2025.104623","DOIUrl":"10.1016/j.agsy.2025.104623","url":null,"abstract":"<div><h3>Context</h3><div>The agroecological transition underscores the need to rethink knowledge production in agriculture, especially in relation to experimentation. This includes involving a wider range of stakeholders and exploring diverse and complementary forms of experimentation.</div></div><div><h3>Objective</h3><div>This article aims to shed light on the diversity of existing collective experimentations, in order to document the ongoing renewal of experimental approaches and to propose benchmarks for understanding and supporting them.</div></div><div><h3>Methods</h3><div>We conducted 34 semi-structured interviews and 10 observant participations, leading to the identification of 28 case studies that we define as collective experimentations. We define collective experimentation as the process of implementing and monitoring an intervention with uncertain outcomes, which leads to the production of knowledge. We did a comprehensive analysis of these collective experimentations, to understand how and why they are conducted. To do so, our analysis considered both the physical design of the experimental setups and the questions addressed, as well as the collective organization of the actors involved.</div></div><div><h3>Results and Conclusions</h3><div>We propose six idealtypes of collective experimentations: Idealtype A: Replicating experimental situations to generate standardized data, Idealtype B: Integrating data from diverse experimental practices in a joint analysis, Idealtype C: Distributing questions to generate knowledge on a common topic, Idealtype D: Pooling a diversity of experiences to explore a common subject, Idealtype E: Distributing activities within a single experimental situation and Idealtype F: Gathering human and material resources on a single site to experiment jointly on several experimental situations.</div></div><div><h3>Significance</h3><div>These idealtypes shed light on the diversity of collective experimentation approaches in agriculture, which are often under described in the literature. By offering a set of structured reference points, it can support researchers, facilitators, and practitioners in recognizing, designing and valuing collective experimentations adapted to their contexts. It opens new perspectives for rethinking how experimental knowledge is produced, shared, and valued to support agroecological transitions.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104623"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145823136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change impacts on rainfed maize production of small-scale cropping systems in Eastern Cape, South Africa","authors":"Luleka Dlamini ,&nbsp;Olivier Crespo ,&nbsp;Jos van Dam ,&nbsp;Deborah V. Gaso ,&nbsp;Allard de Wit","doi":"10.1016/j.agsy.2025.104627","DOIUrl":"10.1016/j.agsy.2025.104627","url":null,"abstract":"<div><h3>Context:</h3><div>Climate change poses a growing threat to rainfed maize production systems in southern Africa. The region is warming at nearly twice the global average, intensifying climate extremes and disrupting maize development, with small-scale farmers particularly vulnerable due to their limited adaptive capacity and resource access.</div></div><div><h3>Objective:</h3><div>This study assesses the potential impact of projected future climates on actual water-limited maize yield, phenology, and water stress in small-scale farming systems in the Eastern Cape Province of South Africa.</div></div><div><h3>Methods:</h3><div>We used five global climate models and the WOFOST model to simulate maize growth and yield under three emission scenarios. Maize responses were assessed at a farm level for the near future (2026–2055) and compared to the historical baseline period (1985–2014). We considered five planting dates and five maize varieties.</div></div><div><h3>Results and Conclusions:</h3><div>The results show that the annual average temperature is projected to increase by up to 8.3% coupled with a 95% increase in the number of summer days (day with maximum temperature over 30 °C) under SSP585. Precipitation trends were less consistent and highly variable across years and models. Simulations under conventional management predicted shorter growing cycle duration (by up to 25 days) and grain filling period (by up to 15 days), leading to significant yield losses (up to 14%) under high-emission scenarios, particularly on farms with existing high water stress. However, adaptation strategies, such as early planting and the use of medium-maturity varieties, significantly improved yield performance. These results highlight the combined effects of warming, phenological acceleration, and water stress on maize productivity, while emphasizing the value of localized adaptation.</div></div><div><h3>Significance</h3><div>: Adjusting planting dates and selecting suitable varieties offer low-cost adaptation options, but alone may not suffice under future climate conditions. Integrating these with broader strategies is essential for building long-term resilience and ensuring food security under increasingly uncertain agro-climate conditions.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104627"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145837420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emergence of cross-level poverty traps in agricultural innovations systems: Environmental impacts and sustainable interventions","authors":"Udita Sanga ,&nbsp;Sonja Radosavljevic ,&nbsp;Maja Schlüter","doi":"10.1016/j.agsy.2025.104596","DOIUrl":"10.1016/j.agsy.2025.104596","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;CONTEXT&lt;/h3&gt;&lt;div&gt;Poverty can result from complex social-ecological interactions where persistent feedback loops create resistant, unsustainable states. In dryland regions, agricultural innovations intended to break poverty traps can often neglect long-term environmental consequences, leading to a reinforcing cycle of degradation and poverty.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;OBJECTIVE&lt;/h3&gt;&lt;div&gt;This study investigates how cross-level dynamics in agricultural innovation systems generate and sustain poverty traps. We ask: (i) How do poverty traps emerge in agricultural innovation systems? (ii) What characterizes agents experiencing these traps? (iii) How can traps be avoided or overcome?&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;METHODS&lt;/h3&gt;&lt;div&gt;We combine dynamical systems modeling (DSM) and agent-based modeling (ABM) to analyze poverty trap emergence. DSM uses bifurcation analysis to reveal system-level dynamics under two innovation scenarios: low-impact (“gentle”) and high-impact (“strong”). ABM simulates these scenarios, tracking agent attributes across runs and mapping them onto DSM parameter space to identify producers and innovators in poor or non-poor states. Comparing agent outcomes with DSM parameter space identifies characteristics of poor and non-poor states. Together, DSM captures system dynamics while ABM reflects heterogeneity, enabling targeted interventions to escape poverty traps.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;RESULTS AND CONCLUSIONS&lt;/h3&gt;&lt;div&gt;Under gentle innovations, poverty and well-being depend on thresholds in innovation efficiency, funding, and desire: below thresholds, poverty is inevitable, at intermediate levels, outcomes depend on farmers' initial conditions and above thresholds, all reach well-being. Strong innovations carry higher ecological risks, with traps arising whenever thresholds are unmet. Low efficiency traps all farmers with fragile bistability and oscillating well-being at higher efficiencies. Low innovation funding and desire creates poor equilibria with stable well-being at higher levels. Improving innovation efficiency, through stronger knowledge efficiency (understanding producers' needs), greater innovation demand, and higher capital efficiency (better use of resources), increases the effectiveness of innovations and enables producers to escape poverty traps. Similarly, increasing innovation funding and demand for low-environmental-impact agricultural technologies supports pathways out of poverty by simultaneously improving income, ecological indicators, and crop production.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;SIGNIFICANCE&lt;/h3&gt;&lt;div&gt;This study highlights the critical role of agricultural innovation in shaping poverty trap dynamics and environmental outcomes. By focusing on cross-level interactions between micro-level producers and meso-level innovators, the study demonstrates how these interactions can create or sustain poverty traps. It emphasizes the importance of ecological feedback for understanding the long-term effects of interventions aimed at reducin","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104596"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145645546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Land tenure, autonomy and crop choice: Institutional drivers of agricultural diversification in Uzbekistan","authors":"Muhammad Bilal ,&nbsp;Pishenbay Umirbekov ,&nbsp;Nodir Djanibekov ,&nbsp;Abdusame Tadjiev ,&nbsp;Bakhrom Mirkasimov","doi":"10.1016/j.agsy.2025.104574","DOIUrl":"10.1016/j.agsy.2025.104574","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Crop diversification can improve income stability, reduce environmental risks, and make farming more resilient. Uzbekistan is one such country, where agriculture is shifting from a state-controlled cotton and wheat system towards a more market-oriented approach. This study explores how crop diversification is linked to institutional factors, such as farmers' sense of land security and their ability to make independent decisions.</div></div><div><h3>OBJECTIVE</h3><div>The study aims to understand how the variety of crops grown by farmers is related to their perceptions of land tenure security and decision-making autonomy. It also considers how training, information sources, and farm characteristics are associated with diversification outcomes.</div></div><div><h3>METHODS</h3><div>Using survey data from 450 farms in the Samarkand province collected in 2022, the study measures crop diversification with Simpson's Diversity Index and groups farms into low, medium, and high diversification levels. A heteroscedastic ordered probit model is applied to examine how institutional, geographic, and socio-economic factors are associated with these outcomes.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>Farmers who feel confident about keeping their land and who report greater freedom in deciding what to grow are more likely to have diversified crop portfolios. Attending more training programs and using land as an incentive for farm workers are also positively linked to diversification. In contrast, relying on media for agronomic information and having formal agricultural education focused on traditional crops are associated with lower diversification. Larger farms tend to avoid monoculture but are not necessarily more likely to achieve high diversification.</div></div><div><h3>SIGNIFICANCE</h3><div>These findings suggest that improving land tenure security, expanding farmer autonomy, increasing access to diverse training, and providing better-targeted farming advice can help support the shift towards more diverse and sustainable farming. This has important implications not only for Uzbekistan, but also for other countries undergoing agricultural reform.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104574"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145734206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Segmenting PGS smallholders for assessing the digital adoption: Scaling climate-smart agricultural waste management in Eastern Thailand","authors":"Eain Dray Aung ,&nbsp;Nophea Sasaki ,&nbsp;Takuji W. Tsusaka","doi":"10.1016/j.agsy.2025.104594","DOIUrl":"10.1016/j.agsy.2025.104594","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Adoption of climate-smart agricultural technologies in low- and middle-income countries remains uneven despite the rapid spread of mobile-based solutions. In Thailand, open-field burning of agricultural residues continues to drive greenhouse gas emissions, air pollution, and rural health risks. Digital innovations such as KaseChar—a prototype mobile application—offer potential to promote sustainable residue management; however, smallholder readiness and adoption barriers remain poorly understood.</div></div><div><h3>OBJECTIVE</h3><div>This study aims to analyze smallholder farmers' behavioral readiness to adopt KaseChar by integrating the Technology Acceptance Model (TAM) with behavioral segmentation to identify heterogeneous adoption profiles and their determinants.</div></div><div><h3>METHODS</h3><div>Data were collected from 150 Participatory Guarantee System (PGS) farmers in Chachoengsao Province, Thailand, using household surveys, key informant interviews, and focus group discussions. K-means clustering based on TAM constructs (perceived usefulness, perceived ease of use, behavioral intention), socio-demographic traits, and digital access variables identified farmer segments. Probit regression models assessed financial, demographic, and institutional drivers of adoption likelihood.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>Four behavioral segments emerged—Digitally Confident Adopters (28 %), Skeptical Traditionalists (22 %), Cost-Conscious Opportunists (25 %), and Socially Influenced Learners (25 %). Higher waste management costs significantly increased adoption probability, while older age reduced it. Social influence, peer networks, and access to training enhanced adoption intentions, whereas high data costs and low digital literacy constrained uptake. These results suggest that one-size-fits-all digital strategies risk excluding vulnerable groups; instead, precision interventions tailored to behavioral segments can promote inclusive digital transitions.</div></div><div><h3>SIGNIFICANCE</h3><div>By combining behavioral segmentation with TAM, this study advances understanding of smallholder heterogeneity in digital agriculture adoption. Findings from KaseChar demonstrate how differentiated extension strategies, economic incentives, and peer-led training can strengthen climate-smart transitions and accelerate progress toward Thailand's Bio-Circular-Green (BCG) economy goals.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104594"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergistic management enhances ecosystem services through optimized specialty agro-pastoralism in the context of food security","authors":"Jiahui Jiang ,&nbsp;Jian Hou ,&nbsp;Chen Zeng ,&nbsp;Haobo Feng ,&nbsp;Zhenxing Xiong","doi":"10.1016/j.agsy.2025.104600","DOIUrl":"10.1016/j.agsy.2025.104600","url":null,"abstract":"<div><h3>Context</h3><div>Clarifying the intrinsic mechanisms by which specialty agro-pastoralism (specialty crops, livestock husbandry, cash crops, and forest products) affect ecosystem services will contribute to enhancing the stability and functional redundancy of ecosystem services and meeting the demands of sustainable specialty agro-pastoralism development. However, the relationships among ecosystem services, and specialty agro-pastoralism remain unclear.</div></div><div><h3>Objective</h3><div>This study systematically analyzed the mechanisms by which the spatial composition, configuration, and interactions of specialty agro-pastoralism affect ecosystem services and their trade-offs/synergies.</div></div><div><h3>Methods</h3><div>This study took typical alpine canyon areas of Southwest China as case and revealed the spatial composition and configuration of specialty agro-pastoralism. The key ecosystem services (Carbon sequestration (CS), Food supply (FS), Water yield (WY), and Soil retention (SR)) were evaluated. The trade-offs, synergies, and spatial heterogeneity patterns between ecosystem services were identified. Furthermore, the underlying mechanisms by which interactions of specialty agro-pastoralism influence ecosystem services and their trade-offs/synergies were systematically explored.</div></div><div><h3>Results and Conclusions</h3><div>Specialty agro-pastoralism were predominantly distributed in the southern region, with higher density in the east than the west. Key components included widely distributed specialty crops (e.g., <em>Hordeum vulgare, Fagopyrum tataricum</em>), livestock husbandry (e.g., <em>Bos grunniens, Sus scrofa domesticus</em>), and cash crops (e.g., <em>Ophiocordyceps sinensis, Camellia sinensis</em>), while forest products (e.g., <em>Juglans regia, Zanthoxylum bungeanum</em>) were concentrated in the southern low mountain regions. Ecosystem service interactions showed dominant synergies (CS-WY, CS-SR, WY-SR) and notable trade-offs (CS-FS, FS-WY, FS-SR). Spatially, synergies clustered in less-disturbed western areas, while trade-offs concentrated in southern areas. Specialty agro-pastoralism as key regulators of ecosystem services, in which forest products and cash crops critically enhanced soil conservation. Interactions between forest products and cash crops mitigated spatial trade-offs by optimizing resource utilization, while interactions between livestock husbandry and forest products promoted spatial synergies through coordinated management of grassland and forest resources.</div></div><div><h3>Significance</h3><div>The findings provide scientific insights into the relationship between ecosystem services and specialty agro-pastoralism, as well as theoretical support for optimizing ecological agricultural layouts and sustainable development strategies.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"233 ","pages":"Article 104600"},"PeriodicalIF":6.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}