Agronomy for Sustainable Development可持续农业农学
Agronomy for Sustainable Development(英文缩写 AGRON SUSTAIN DEV),ISSN 1774-0746,eISSN 1773-0155,中文译名:可持续农业农学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-09-28 至 2026-09-28，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 7.832 | Q1 |
| 2022 | 7.300 | Q1 |
| 2023 | 6.400 | Q1 |
| 2024 | 6.700 | Q1 |
| 2025 | 8.200 | Q1 |
Agronomy for Sustainable Development 最新收录文献
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1. Agroforestry protects arable crops from climate shock during critical early-season phenological stages.
PMID:日期:2026-01-01Climate change poses significant threats to European agricultural production, with increasing frequency and severity of adverse weather events impacting crop yields. Agroforestry, the integration of woody elements into agricultural systems, is recognized as a vital agroecological approach for both climate change mitigation and adaptation yet key mechanistic and long-term performance questions remain unresolved. This study utilized the mechanistic Hi-sAFe model to simulate 100 years (2001-2100) of silvoarable agroforestry performance at Wakelyns farm in southeastern England, focusing on winter wheat () and pea () yields under intermediate (Representative Concentration Pathway 4.5) and very high (Representative Concentration Pathway 8.5) emissions scenarios. The research assessed yield stability, underlying microclimatic and phenological mechanisms, and long-term land-use efficiency (land equivalent ratio). This study demonstrates for the first time that agroforestry functions as a climate shock absorber by protecting crops during a critical early-season phenological window, preventing catastrophic yield failures under climate change scenarios. These protective effects were mechanistically linked to microclimatic modification, likely shade, provided by newly emerged walnut () leaves during the early stages of crop flowering and grain filling, rather than during peak summer heat. While overall yield stability assessed statistically was not significantly enhanced, the mitigation of extreme downside risk represents a profound benefit for farm resilience. Analysis of land equivalent ratio revealed a substantial initial productivity lag, with consistent land equivalent ratio > 1 achieved only after 80 years for wheat and 40 years for pea, highlighting economic adoption barriers but also the potential for optimized system design and adaptive management to accelerate productivity gains. Overall, these results identify a previously unreported mechanistic and temporal basis for agroforestry's capacity to buffer temperate arable crops against climate-induced yield shocks.
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2. Global determinants of yield variability under sustainable farming approaches across climate, soil, and topography. A meta-analysis.
PMID:日期:2026-01-01Enhancing ecosystem services without compromising crop productivity is a central challenge for sustainable agriculture, yet biophysical drivers of yield variability across farming approaches remain poorly resolved. Here, we provide the first comparative global assessment of how climate, soil, and topographic conditions shape yield responses to agroforestry, cover cropping, no-tillage, and organic farming by synthesizing global meta-analytic datasets and linking field comparisons to a common framework of biophysical moderators. Across all sustainable farming approaches, there was no significant overall yield difference relative to conventional management (1.1%; 95% confidence interval -0.7 to 3.0%), but outcomes diverged across biophysical contexts. While agroforestry and cover cropping showed statistically significant positive yield effects under specific aridity conditions, no-tillage was consistently associated with statistically significant yield reductions in wetter environments, and organic farming showed no significant overall effect. Responses across soil and topographic gradients were context-dependent, with significant effects observed for specific soil types and elevated or sloping landscapes, whereas most other patterns were not consistently statistically significant. These findings demonstrate that environmental heterogeneity governs yield responses to sustainable farming approaches and support context-specific implementation strategies to improve agricultural sustainability and resilience. The online version contains supplementary material available at 10.1007/s13593-026-01133-7.
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3. Driving climate resilience: citizen attitudes toward agroforestry and their policy implications in the UK.
PMID:日期:2026-01-01Agroforestry provides essential ecosystem services while enhancing climate resilience and biodiversity in rural landscapes. Despite a growing body of research on farmers' adoption of agroforestry, much less is known about citizens' attitudes and priorities. Citizen disapproval of agroforestry practices or policies may undermine the legitimacy of these initiatives and impede their long-term implementation. This risk is particularly relevant in countries where agroforestry is being promoted as a national policy priority, such as the UK. We surveyed 1509 UK citizens to examine their attitudes toward agroforestry, explore factors influencing these attitudes, and study how these factors operate across distinct segments of the sample. Overall, participants expressed neutral to positive attitudes toward agroforestry. Benefits associated with climate resilience (wildlife habitat creation, greenhouse gas capture, and flood control) were rated most highly. Negative socio-economic consequences (delayed benefit realization, higher input requirements, and potential stakeholder conflicts) were identified as representing the greatest risks. Structural equation modeling validated a novel hybrid model explaining participants' attitudes toward agroforestry, highlighting three primary drivers: evoked affect, perceived benefits, and the perceived importance of environmental conservation in farming. Latent class analysis identified three distinct citizen groups. The negative impact of perceived risk associated with agroforestry on attitudes was greatest among . The positive impact of perceived threat to the rural environment exceeded the influence of perceived importance of environmental conservation in farming among . Among , perceived importance of both environmental conservation and food productivity as well as attachment to the countryside emerged as strong positive predictors of acceptance. Our results provide evidence for adopting a holistic approach that accounts for diverse citizen preferences when promoting agroforestry across UK regions, and highlight the importance of addressing multiple ecosystem services at the landscape level in agroforestry policies. The online version contains supplementary material available at 10.1007/s13593-026-01130-w.
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4. Sustainable resource optimization for tomato cultivation in a rooftop greenhouse: an 8-year case study.
PMID:日期:2026-01-01Tomato is one of the most popular and consumed crops worldwide and its cultivation via hydroponic techniques is widespread. In this study, we evaluated the performance of an evolving management strategy through an iterative system design over 8 years in an integrated-rooftop greenhouse in Barcelona. Yield, solar radiation, water and nutrient consumption, and environmental impacts through Life Cycle Assessment were analysed. We hypothesized that improving irrigation management, partially substituting mineral fertilizers with recovered nutrients, and ensuring optimal solar radiation would enhance tomato productivity while reducing the environmental impact. The highest productivity was obtained in 2023 (49 g plant day), in a cycle using 100 g plant of struvite and in a cycle using mineral fertilization. The replacement of deteriorated polycarbonate sheets in 2023 increased greenhouse solar transmissivity and led to the highest productivity. Life Cycle Assessment impacts were mainly driven by crop yields, growing system characteristics, and energy required to power artificial lighting or nebulization systems, among other inputs. The lowest environmental impacts were obtained in the 2017 cycle (0.54 kg CO eq.) followed by the 2023 cycle (0.94 kg CO eq.), in which the highest yields were produced thanks to optimal solar transmissivity, dynamic fertigation, and/or struvite. The highest environmental impacts (3.84-12.05 kg CO eq.) were achieved in cycles with the lowest productivity (0.9-3.3 kg m) and in cycles using artificial lighting in the greenhouse (3.71 kg CO eq.) or in an indoor environment (7.07 kg CO eq.). Our findings demonstrate that statistically higher yields and environmental sustainability can be achieved by adopting struvite-based fertilization and regularly replacing the greenhouse covering material to ensure maximum light transmissivity. This research provides valuable and novel insights into optimizing tomato cultivation in rooftop greenhouses, achieving constant yields, and reducing the environmental footprints thus contributing to sustainable food production. The online version contains supplementary material available at 10.1007/s13593-026-01118-6.
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5. A conceptual framework for simultaneous optimization of integrated climate scenario data and phenology models.
PMID:日期:2026-01-01Climate-resilient crop varieties are exceedingly important for global food security. High-accuracy predictions of crop phenology in future climate scenarios require a more precise description of putative crop-environment interactions. While the accuracy of these predictions is affected by three primary sources of uncertainty - the phenology model, the climate scenario data, and their interaction - commonly used approaches consider only the phenology model as a source of uncertainty, while uncertainties arising from climate scenario data and their interaction with the model are commonly neglected. To address this gap, we developed a novel dynamic crop phenology model framework that simultaneously integrates uncertainties arising from all three sources. This model framework was developed using a large dataset of winter wheat phenology ratings and environmental covariate observations, encompassing more than 2500 locations spanning more than 80 years. It incorporates and combines up to seven environmental covariates in an additive manner, resulting in a large set of possible models from which to select. For each model, the phenological development follows a defined response curve per environmental covariate. Using climate scenario projections in Switzerland, our proposed effective model selection process helps to find the best model that reduces uncertainties in predicting future crop phenology. In addition to predictions, the model can pinpoint the driving environmental covariates for different phenological phases. Four major phenological stages are predicted for an independent subset of the large dataset and future climate scenario projections. Predictions for future climate scenario projections indicate a 22-day earlier heading for 2070-2099 compared to the reference period (1981-2010). Ignoring uncertainties arising from climate data results in contradictory predictions. These findings underscore the importance of considering all three uncertainty sources - phenology model, climate scenario data, and their interaction - in accurately predicting phenology under future climates. The online version contains supplementary material available at 10.1007/s13593-026-01091-0.
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6. Implementation of practices shapes the effectiveness of agricultural diversification for arthropod related ecosystem services: a meta-analysis.
PMID:日期:2026-01-01Agricultural intensification has increased food production but has also caused significant environmental degradation and biodiversity loss. Diversification practices can mitigate these impacts while sustaining yields. While previous meta-analyses have examined their effects on arthropod populations and associated ecosystem services, focusing on individual practices or treating them as a whole, this is the first study to compare a wide range of diversification strategies across specific arthropod groups and assess how management factors, such as plant diversity, spatial configuration, and sowing time, modulate their outcome. Clarifying these mechanisms is crucial for optimizing diversification practices and enhancing their adoption by farmers. We conducted the most up-to-date and comprehensive meta-analysis to evaluate the effects of four diversification practices (agroforestry, intercropping, flower resource addition, and maintaining semi-natural habitats) on arthropods (parasitoids, predators, pollinators, and herbivores), their associated ecosystem services (predation, parasitism, pollination), and disservices (herbivory), using 19,421 data points from 449 publications. On average, all diversification practices increased beneficial arthropod populations and their services by 41%, compared to a non-diverse control, and reduced herbivore abundance and plant damage by 33%. Intercropping was particularly effective, reducing herbivore abundance and damage by 39% and 30%, respectively, while increasing predator and parasitoid populations by 48% and 56%. Other practices showed no consistent effects, likely due to high variability across studies. For the first time, we tested the influence of management factors and found complex effects on parasitoid abundance and parasitism, highlighting the need for context-specific approaches. These results highlight the importance of tailored policies and targeted research to support the adoption of diversification practices. Effective implementation can reduce reliance on insecticides while simultaneously promoting ecosystem services and supporting the transition to sustainable agricultural systems. The online version contains supplementary material available at 10.1007/s13593-025-01082-7.
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7. Global warming potential of farming systems across England: possible mitigation and co-benefits for water quality and biodiversity.
PMID:日期:2025-01-01Agriculture is a key contributor to gaseous emissions causing climate change, the degradation of water quality, and biodiversity loss. The extant climate change crisis is driving a focus on mitigating agricultural gaseous emissions, but wider policy objectives, beyond net zero, mean that evidence on the potential co-benefits or trade-offs associated with on-farm intervention is warranted. For novelty, aggregated data on farm structure and spatial distribution for different farm types were integrated with high-resolution data on the natural environment to generate representative model farms. Accounting for existing mitigation effects, the Catchment Systems Model was then used to quantify global warming potential, emissions to water, and other outcomes for water management catchments across England under both business-as-usual and a maximum technically feasible mitigation potential scenario. Mapped spatial patterns were overlain with the distributions of areas experiencing poor water quality and biodiversity loss to examine potential co-benefits. The median business-as-usual GWP20 and GWP100, excluding embedded emissions, were estimated to be 4606 kg CO eq. ha (inter-quartile range 4240 kg CO eq. ha-) and 2334 kg CO eq. ha (inter-quartile range 1462 kg CO eq. ha), respectively. The ratios of business-as-usual GHG emissions to monetized farm production ranged between 0.58 and 8.89 kg CO eq. £ for GWP20, compared with 0.53-3.99 kg CO eq. £ for GWP100. The maximum mitigation potentials ranged between 17 and 30% for GWP20 and 19-27% for GWP100 with both corresponding medians estimated to be ~24%. Here, we show for the first time that the co-benefits for water quality associated with reductions in phosphorus and sediment loss were both equivalent to around a 34% reduction, relative to business-as-usual, in specific management catchment reporting units where excess water pollutant loads were identified. Several mitigation measures included in the mitigation scenario were also identified as having the potential to deliver co-benefits for terrestrial biodiversity. The online version contains supplementary material available at 10.1007/s13593-025-01015-4.
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8. Farm resilience to climatic risk. A review.
PMID:日期:2025-01-01Increasing our understanding of farm resilience drivers to climate-related risks is critical for designing innovative farm systems, especially for smallholders that are highly vulnerable to climatic hazards and expected to follow a pathway toward sustainable development. However, the literature is fragmented on the concepts and methods to measure farm resilience. Moreover, quantitative assessments of options to enhance farm resilience to climate risks are scarce. Resilience can be defined as the ability of a system to recover, reorganize and evolve following external stresses and disturbances. Such definition can be applied to farm systems. In this study, we systematically reviewed how changes in resilience-enhancing attributes (reserves, openness, modularity, tightness of feedbacks and diversity) impacted farm performance and resilience to climate-related risks, with a specific attention to smallholder farms. Our analysis showed that reviewed studies assessed farm resilience using the agricultural and economic dimensions of performance, often excluding the socio-environmental dimensions. To assess performance, the average value of indicators was most commonly employed, sometimes combined with variability metrics or the probability of exceeding a critical threshold. Improving one resilience attribute increased one dimension of farm performance for a given metric in most of the studies, but some studies showed the opposite effect. The lack of comprehensive assessments exploring different attributes and their impact on several dimensions of performance using diverse metrics prevents a robust conclusion on how to improve farm resilience to climate-related risks. Therefore, we recommend to pay more attention to quantitative assessments of farm resilience, including a systematic investigation of the temporal variability of performance and the socio-environmental dimensions of performance. Finally, we emphasize the need to focus on the recovery of smallholder farms after a disturbance, with the goal of achieving growth in farm performance rather than simply reverting to their current state of food insecurity and poverty. The online version contains supplementary material available at 10.1007/s13593-024-00998-w.
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9. Transitions to crop residue burning have multiple antecedents in Eastern India.
PMID:日期:2024-01-01Far removed from the agricultural fire "hotspots" of Northwestern India, rice residue burning is on the rise in Eastern India with implications for regional air quality and agricultural sustainability. The underlying drivers contributing to the increase in burning have been linked to the adoption of mechanized (combine) harvesting but, in general, are inadequately understood. We hypothesize that the adoption of burning as a management practice results from a set of socio-technical interactions rather than emerging from a single factor. Using a mixed methods approach, a household survey ( = 475) provided quantitative insights into landscape and farm-scale drivers of burning and was complemented by an in-depth qualitative survey ( = 36) to characterize decision processes and to verify causal inferences derived from the broader survey. For communities where the combine harvester is present, our results show that rice residue burning is not inevitable. The decision to burn appears to emerge from a cascading sequence of events, starting with the following: (1) decreasing household labor, (2) decreasing household livestock holdings, (3) reduced demands for residue fodder, (4) adoption of labor-efficient combine harvesting and subsequent burning of loose residues that are both difficult to collect and of lower feeding value than manually harvested straw. Local demand for crop residues for livestock feeding plays a central role mediating transitions to burning. Consequently, policy response options that only consider the role of the combine harvester are likely to be ineffective. Innovative strategies such as the creation of decentralized commercial models for dairy value chains may bolster local residue demand by addressing household-scale labor bottlenecks to maintaining livestock. Secondary issues, such as timely rice planting, merit consideration as part of holistic responses to "bend" agricultural burning trajectories in Eastern India towards more sustainable practices. The online version contains supplementary material available at 10.1007/s13593-024-00983-3.
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10. APSIM-based modeling approach to understand sorghum production environments in Mali.
PMID:日期:2024-01-01Sorghum production system in the semi-arid region of Africa is characterized by low yields which are generally attributed to high rainfall variability, poor soil fertility, and biotic factors. Production constraints must be well understood and quantified to design effective sorghum-system improvements. This study uses the state-of-the-art in silico methods and focuses on characterizing the sorghum production regions in Mali for drought occurrence and its effects on sorghum productivity. For this purpose, we adapted the APSIM-sorghum module to reproduce two cultivated photoperiod-sensitive sorghum types across a latitude of major sorghum production regions in Western Africa. We used the simulation outputs to characterize drought stress scenarios. We identified three main drought scenarios: (i) no-stress; (ii) early pre-flowering drought stress; and (iii) drought stress onset around flowering. The frequency of drought stress scenarios experienced by the two sorghum types across rainfall zones and soil types differed. As expected, the early pre-flowering and flowering drought stress occurred more frequently in isohyets < 600 mm, for the photoperiod-sensitive, late-flowering sorghum type. In isohyets above 600 mm, the frequency of drought stress was very low for both cultivars. We quantified the consequences of these drought scenarios on grain and biomass productivity. The yields of the highly-photoperiod-sensitive sorghum type were quite stable across the higher rainfall zones > 600 mm, but was affected by the drought stress in the lower rainfall zones < 600 mm. Comparatively, the less photoperiod-sensitive cultivar had notable yield gain in the driest regions < 600 mm. The results suggest that, at least for the tested crop types, drought stress might not be the major constraint to sorghum production in isohyets > 600 mm. The findings from this study provide the entry point for further quantitative testing of the Genotype × Environment × Management options required to optimize sorghum production in Mali. The online version contains supplementary material available at 10.1007/s13593-023-00909-5.