Agricultural Systems最新文献

{"title":"A farm typology development cycle: From empirical development through validation, to large-scale organisational deployment","authors":"Rhys Manners, Jim Hammond, David Renaud Umugabe, Milindi Sibomana, Marc Schut","doi":"10.1016/j.agsy.2024.104250","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104250","url":null,"abstract":"The publication of farm (or farmer) typologies has increased over recent years. The purpose of these studies is usually to differentiate groups of farmers so that they are “targeted” with specific agricultural innovations, or best-bet interventions can be “prioritised”. The degree to which such typologies actually influence development practice is however unclear, and little has been published on that topic.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"1 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884408","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":"Organic farming enhances the synergy of the water-energy-food-ecology nexus","authors":"Meixi Pan, Zishu Tang, Guishen Zhao","doi":"10.1016/j.agsy.2024.104247","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104247","url":null,"abstract":"Synergies between water-energy-food-ecology (WEFE) nexus essentially embody the sound functioning of complex adaptive systems. As an effective way of promoting the transformation of agricultural systems, it is critical to compare the synergies between conventional and organic farming systems from a nexus perspective, and to explore the contribution of synergies to achieving sustainable development in agriculture.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"290 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884077","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":"Ecological indicators for monitoring coffee agroforestry systems in protected areas: A case study in São Paulo State, Brazil","authors":"Vitoria Duarte Derisso, Ricardo Gomes César, Ricardo Augusto Gorne Viani, Haroldo Borges Gomes, Edson Vidal","doi":"10.1016/j.agsy.2024.104245","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104245","url":null,"abstract":"Biodiverse coffee agroforestry systems (AFS) offer high potential for forest restoration. However, long-term monitoring using appropriate indicators is necessary to ensure successful ecological restoration. In the State of São Paulo, Brazil, legal instruments define ecological indicators and reference values for monitoring AFS-mediated ecological restoration.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"65 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884078","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":"The future of agricultural lands under the combined influence of shared socioeconomic pathways and urban expansion by 2050","authors":"Ali Sadian, Hossein Shafizadeh-Moghadam","doi":"10.1016/j.agsy.2024.104234","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104234","url":null,"abstract":"Food security is increasingly at risk due to rising demand, unprecedented population growth, and challenges such as climate change and urbanization. Consequently, modeling the combined effects of climate change and land conversion on agricultural lands is of strategic importance.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"28 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884079","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":"Environmental effects of improved regional nitrogen cycling in crop-livestock systems – A generic modelling approach","authors":"W.J. Vonk, A.G.T. Schut, M.K. van Ittersum, M. Grillot, C.F.E. Topp, R. Hendriks, R. Hijbeek","doi":"10.1016/j.agsy.2024.104244","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104244","url":null,"abstract":"More nutrient cycling may be achieved by using less external inputs (feed, fertilisers) and reduce losses to the environment, especially in intensive farming systems. Yet, changes in on-farm management may have unintended consequences at higher aggregation scales due to potential trade-offs.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"115 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142841520","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":"The bittersweet economics of different cacao production systems in Colombia, Ecuador and Peru","authors":"Andrés Charry, Carolay Perea, Karen Ramírez, Guillermo Zambrano, Fredy Yovera, Adriana Santos, Tito Jiménez, Miguel Romero, Mark Lundy, Marcela Quintero, Mirjam Pulleman","doi":"10.1016/j.agsy.2024.104235","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104235","url":null,"abstract":"Cacao production takes place in diverse environments and agricultural systems, with its performance and income generation potential depending on multiple contextual factors. The crop has been promoted among smallholders in South America as a driver for sustainable rural development, but a systematic comparison of the economic performance of diverse cacao production systems in this region was missing, which led to a lack of consistency and clarity on the conditions that enable the crops' success in terms of profitability and income generation for farmers.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"41 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804865","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 uptake and leaching from urine and fertilizer applications during simulated grazing rotations of a perennial grass pasture","authors":"Cameron J.P. Gourley, Sharon R. Aarons, Michael W. Heaven","doi":"10.1016/j.agsy.2024.104226","DOIUrl":"https://doi.org/10.1016/j.agsy.2024.104226","url":null,"abstract":"The productivity of grazing-based dairy systems is driven in large part by availability of nitrogen (N) as it cycles though the soil, plant and animal. However, N use efficiency (NUE) is generally less than 40 % with significant N losses attributed to animal excreted N, especially urinary N, due to high N concentrations deposited.","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"10 1","pages":""},"PeriodicalIF":6.6,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142804514","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":"Decomposing the total uncertainty in wheat modeling: an analysis of model structure, parameters, weather data inputs, and squared bias contributions","authors":"Jinhui Zheng ,&nbsp;Shuai Zhang","doi":"10.1016/j.agsy.2024.104215","DOIUrl":"10.1016/j.agsy.2024.104215","url":null,"abstract":"<div><h3>CONTEXT</h3><div>The comparison of agricultural models and the conduct of crop improvement research have garnered significant attention in recent times. One of the primary objectives in this field is to pinpoint and mitigate the uncertainties inherent in modeling the effects of climate on crop growth and productivity. Enhancing the precision and reliability of crop models has emerged as a critical concern.</div></div><div><h3>OBJECTIVE</h3><div>In this study, we calibrate and validate four wheat phenology models using wheat phenology data from 1990 to 2009. More importantly, we explain three significant sources of uncertainty in wheat phenology models, namely model structure, model parameters, and weather data inputs.</div></div><div><h3>METHODS</h3><div>This study examines four wheat models—the GLAM-Wheat model, APSIM-Wheat model, SPASS-Wheat model, and WOFOST model—to simulate phenological changes across 32 agricultural meteorological stations in the North China Plain. Additionally, the three main sources of uncertainty in the model are quantified using the Markov Chain Monte Carlo (MCMC) method.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The results indicate that all four wheat phenological models effectively simulate the growth of wheat in the study area, with an average RMSE ranging from 4.4 to 5.2 days for the heading stage and from 4.7 to 5.6 days for the maturity stage. The uncertainty analysis encompasses parameters, squared bias, weather data inputs, and model structure. During the heading stage, the overall contributions of these uncertainties are 8.9 %, 40.8 %, 47.4 %, and 2.9 %, respectively. During the maturity stage, these contributions are 11.2 %, 51.2 %, 35.0 %, and 2.6 %, respectively. Weather data inputs are identified as the primary sources of uncertainty.</div></div><div><h3>SIGNIFICANCE</h3><div>This study quantifies the uncertainty within wheat phenology models, a critical step towards enhancing the precision and dependability of crop models. Such efforts hold substantial importance in shaping agricultural policies and refining management practices, ultimately aiding in tackling the challenges posed by impending climate change.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"224 ","pages":"Article 104215"},"PeriodicalIF":6.1,"publicationDate":"2024-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758956","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":"Feed the green for a sustainable and protein-efficient dairy production","authors":"Maria Wild ,&nbsp;Martin Komainda ,&nbsp;Katharina Bettin ,&nbsp;Karin Jürgens ,&nbsp;Johannes Isselstein","doi":"10.1016/j.agsy.2024.104216","DOIUrl":"10.1016/j.agsy.2024.104216","url":null,"abstract":"<div><h3>CONTEXT</h3><div>In modern intensive dairy farming, cows are increasingly held indoors and fed arable crops instead of grass to maximize individual animal performance. This leads to environmental issues such as high farm-level nutrient surpluses and loss of grassland plant species diversity as well as a growing competition between food and feed.</div></div><div><h3>OBJECTIVE</h3><div>We conducted this study to define a threshold of concentrate supplementation that ensures a net contribution to the protein supply and evaluate the environmental performance of dairy farms when this level of supplementation is shifted.</div></div><div><h3>METHODS</h3><div>In a first step, we calculated the hePCR (human-edible protein conversion ratio) of 52 dairy farms across a pedo-climatic gradient with varying feeding strategies. Based on farm management data and vegetation surveys, we analyzed the relationship between hePCR and different components of environmental and productive performance, with special interest on farm nutrient balances, grassland biodiversity and grass-based milk production.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>Our results show that higher concentrate supplementation levels significantly reduce the efficiency of converting plant protein into food. A critical threshold was identified at a concentrate milk proportion of 30 % or 177 g of concentrate feed per kilogram of milk produced, beyond which net protein contribution shifts to net consumption. Furthermore, we show critical interlinkages between a high protein efficiency and an enhanced environmental performance of the farms, such as higher grassland Shannon diversity and reduced nutrient surpluses. Our study suggests grass-based dairy farming as an integrated solution for enhancing net protein output while simultaneously safeguarding critical ecosystem functions.</div></div><div><h3>SIGNIFICANCE</h3><div>We are in urgent need of sustainable agricultural practices that align an efficient food production with the reduction of negative environmental impacts. Our study is the first that shows direct positive interlinkages between the protein conversion efficiency of dairy farms and their environmental outcome as based on multi-annual management data and comprehensive vegetation surveys.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"223 ","pages":"Article 104216"},"PeriodicalIF":6.1,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conserving cropland resilience space in alpine agro-pastoral ecotones: A quantitative study of Qinghai Province","authors":"Hongyu Wang ,&nbsp;Rongrong Ma ,&nbsp;Juan Wang ,&nbsp;Huizhong Zhang ,&nbsp;Wei Zhou","doi":"10.1016/j.agsy.2024.104211","DOIUrl":"10.1016/j.agsy.2024.104211","url":null,"abstract":"<div><h3>CONTEXT</h3><div>Influenced by natural conditions, geographic location and socioeconomics, Qinghai Province is a typical alpine agro-pastoral ecotone; additionally, its food production system cannot cope with many risks, and exploring the suitability of resilient cropland spaces and rational utilization paths is of practical significance.</div></div><div><h3>OBJECTIVE</h3><div>The objectives of this study are to explore the influencing factors of the resilience space of cropland in the alpine agro-pastoral ecotone and to establish a method to quantify the quantity and quality of resilience space. Finally, recommendations for the development and utilization of cropland resilience space and cropland protection in Qinghai Province are presented.</div></div><div><h3>METHODS</h3><div>This study takes cropland system resilience as the theoretical basis and creates a conceptual model of the factors influencing cropland resilience space. The Cropland Resilience Space Index (CRSI) is constructed from the three factors of suitability, scale and aggregation and is used to quantify the spatial suitability of cropland resilience in Qinghai Province.</div></div><div><h3>RESULTS AND CONCLUSIONS</h3><div>The results revealed that there are 441,000 ha of cropland resilience space in Qinghai Province, low values of the suitability factor are distributed mainly in the edge areas of the Kunlun Mountains and the Qilian Mountains, and the scale factor and aggregation factor are generally high in the west and low in the east. The average CRSI value in Qinghai Province is 0.445, and that in Haixi Prefecture is 0.469, which is higher than the average value. Priority should be given to the development of cropland resilience space in the eastern part of Dulan County and Golmud city based on utilization sustainability and ecological stability.</div></div><div><h3>SIGNIFICANCE</h3><div>This research will help enrich research methods for the sustainable utilization of cropland and help promote the transformation of cropland protection policies from rigid to resilient. The quantitative results of the cropland resilience space in the alpine agriculture and animal husbandry intertwined zone can provide a reference basis for rationally formulating the policies of cropland protection and resilience space development and utilization.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"223 ","pages":"Article 104211"},"PeriodicalIF":6.1,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757806","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}