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37 results for “Food supply”
Short Food Supply Chains Business and Marketing Models Categorisation
<p>The present dataset contains information about the categorisation of Business Models for Short Food Supply Chains, in the context of the <a href="http://agrobridges.eu">agroBRIDGES project</a> (Horizon 2020, GA No. 101000788). Regional information about existing and new business models for Short Food Supply Chains were collected from 12 regions and countries of focus for the project (Beacon Regions) through desk research, interviews and co-creation workshops.</p> <p>The datasets collected information provided by Beacon Region Leaders in the co-creation workshops about models applied and newly or potentially developed ones and available in the literature, to categorise them into stylized models with specific and distinguishable features and attributes, enabling a systematic approach in the development of the sustainability assessment framework. An initial ranking of local business models was provided at a regional / country level. </p> <p>Through analysis of the aggregate ranking results of business models at local level, a final list of business models for SFSCs was derived. Five different Business Model types have been addressed and developed ( i. Community Supported Agriculture - CSA, ii. Face to face trade, iii. Online Food Trade, iv. Local Food Trade, and v. Improved Logistics). The final categorization list provided valuable insights in order to represent all regional contexts and eventually offer value-added information about the main factors for developing a successful business model that can enhance market success in the long term; as well as to strengthen farmer´s strategy that eventually enhances their position within the whole value chain and improve their customer experience.</p> <p>The Value Proposition Canvas and Business Model Canvas was defined for each of the most common SFSC represented in each of the targeted regions.</p> <p><br> The dataset contains:<br> • <strong>agroBRIDGES_SFSCs-BMModels-Categorisation_2021.12.01_v1 [zip file]: </strong>The initial list of business models collected from the co-creation workshops<br> • <strong>agroBRIDGES_SFSCs-BMModels-Categorisation-Tool_2021.12.01_v1 [.xlsx file]: </strong>Internal Assessment tool for Business models regional data collection: A data collection tool was built in-house and shared to all Beacon Region Leaders in order to enable them to fill it regarding their assumptions and conclusions after the co-creation participants discussed and presented their insights from regional activities.<br> • <strong>agroBRIDGES_SFSCs-BModels-CategorisationResults_2021.12.01_v1 [.xlsx file]:</strong> SFSCs BM type results in each of the regions.<br> • <strong>agroBRIDGES_BusinessModels_Canvas_2021.12.01_v1 [zip file]: </strong>The Business Model and Value Proposition Canvas of the 5 BM categories</p>
Data and R Code from "A novel approach to sustainability assessment of food supply chains using networks of ecosystem services"
<p>Data and R code from this paper applying network analysis (iGraph) to two case studies pre and post agroecological transitions in Central America and Tanzania, Africa from the IPES-Food report. Further descriptions of this data and code can be found within the extended manuscript. R Code relies on the data from the scenarios (e.g., Nodes and Relations CSVs) and creates the output network metrics (e.g., Node Metric CSVs). </p>
Good Practices and Success Cases for Short Food Supply Chains connecting consumers and producers
<p>The agroBRIDGES Good Practices (GPs) is a compilation of 51 Good Practices prepared by TEAGASC in collaboration with other agroBRIDGES project partners, where the Good Practices, success cases and opportunities related to Short Food Supply Chains (SFSCs) across Europe are highlighted. The Good Practices are identified and collated from SFSCs in Denmark, France, Greece, Italy, Latvia, Lithuania, the Netherlands, Poland, Turkey, Finland, Ireland, Spain and other international representations across Europe.</p> <p>The dataset contains a spreadsheet containing the 51 Good Practices collected. The included cases are presented in alphabetical order and numbered from 1 -51:</p> <p>1. "Bios Coop" Social Consumer Cooperative </p> <p>2. AGFORISE (AGroFOod clusters platform with common long-term Research and Innovation) </p> <p>3. Agriloops </p> <p>4. Airfield Estate </p> <p>5. Benedicto Turgus (Benedict’s Market) </p> <p>6. Bienvenue à la ferme </p> <p>7. Bioalverde </p> <p>8. Burgerboerderijen </p> <p>9. CASETTA ROSSA Solidarity Purchase Group / Gruppo di Acquisto Solidale (GAS) Casetta Rossa </p> <p>10. Castlegregory Market </p> <p>11. Cloughjordan Community Farm </p> <p>12. Conservas artesanales contigo </p> <p>13. Digital Agriculture Market </p> <p>14. Drumanilra </p> <p>15. Evidence of Public Procurement of local food in the EU </p> <p>16. Fru Møllers Mølleri </p> <p>17. Gastroteca </p> <p>18. Kindergarten "Duzgynelis" </p> <p>19. Københavns Fødevarefællesskab (KBHFF)/Copenhagen Food Co-operative (CPH) </p> <p>20. La Colmena que dice sí </p> <p>21. La OSA Coop </p> <p>22. La OSA Coop </p> <p>23. La Ruche qui dit Oui/Boeren en Buren/L'Alveare Che Dice SÍ </p> <p>24. Local food program </p> <p>25. M**bun </p> <p>26. Manna Organic Store </p> <p>27. Más Que Lechugas </p> <p>28. Mobilus Turgelis </p> <p>29. Naturecode </p> <p>30. Né d'une seule ferme </p> <p>31. Podkarpacki E-bazarek </p> <p>32. Podkarpackie Smaki (Subcarpathian Flavors Cluster) </p> <p>33. Pora Na Pola </p> <p>34. American Farm School of Thessaloniki </p> <p>35. Public Food Services </p> <p>36. QualityLowInputFood (QLIF) </p> <p>37. Rechtstreek </p> <p>38. REKO food collective </p> <p>39. School milk and fruit </p> <p>40. Self picking berries </p> <p>41. Streeckgenoten</p> <p>42. SVAIGI - online shop </p> <p>43. Telaraki.com </p> <p>44. The Agricultural Marketing Platform </p> <p>45. The Cold Chain of Raw Milk </p> <p>46. The Eco-Cabinet (Økoskabet) </p> <p>47. The Little Cheese Shop </p> <p>48. Tiešā pirkšana - Direct shopping group </p> <p>49. TomaTomate </p> <p>50. Traditional United Europe Food (TRUEFOOD) </p> <p>51. Via Amerina and Forre Bio-District</p>
Regional assessment of the current status of Short Food Supply Chains
<p>The assessment of the current status of the Short Food Supply Chains (SFSCs) in each of the 12 Beacon Regions (focal regions) of the agroBRIDGES project is one of the different key aspects that jointly conform to the overall project concept.</p> <p>It is important to study the existing knowledge and SFSCs in each region, to identify and later stimulate the wide adoption of sustainable SFSC-based business models already existing successfully in one or some of the regions. The traditional/current business models, that will be spotted here, like the new SFSCs business and marketing models to be developed later, be categorised, and analysed from an economic (with special attention on producer’s income), environmental and social point of view.</p> <p>The 12 Beacon Regions portrayed in this report are listed in the table below:</p> <table> <thead> <tr> <th> <p><strong>Country</strong></p> </th> <th> <p><strong>Region</strong></p> </th> <th> <p><strong>Beacon Region Leader </strong></p> </th> </tr> </thead> <tbody> <tr> <td> <p>Greece</p> </td> <td> <p>Central Macedonia</p> </td> <td> <p>Q-PLAN</p> </td> </tr> <tr> <td> <p>Finland</p> </td> <td> <p>All</p> </td> <td> <p>VTT</p> </td> </tr> <tr> <td> <p>Netherlands</p> </td> <td> <p>All</p> </td> <td> <p>WU</p> </td> </tr> <tr> <td> <p>Italy</p> </td> <td> <p>Lazio and Piemonte</p> </td> <td> <p>CREA</p> </td> </tr> <tr> <td> <p>Ireland</p> </td> <td> <p>All</p> </td> <td> <p>MTU</p> </td> </tr> <tr> <td> <p>Denmark</p> </td> <td> <p>All</p> </td> <td> <p>FBCD</p> </td> </tr> <tr> <td> <p>Spain</p> </td> <td> <p>Andalucia</p> </td> <td> <p>CTA</p> </td> </tr> <tr> <td> <p>Poland</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>Latvia</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>Lithuania</p> </td> <td> <p>All</p> </td> <td> <p>UNMF</p> </td> </tr> <tr> <td> <p>France</p> </td> <td> <p>Bretagne, Pays de la Loire, Auvergne – Rhône Alpes</p> </td> <td> <p>VGP</p> </td> </tr> <tr> <td> <p>Turkey</p> </td> <td> <p>All</p> </td> <td> <p>SUF</p> </td> </tr> </tbody> </table> <p>All Beacon Regions have contributed data and insights about their specific region collected through desk research. They have focused on 2 appointed sectors that is of importance for the region. The focal sectors have been settled in the application for this project. The knowledge generated in the desk research is qualified through interviews with members of the regional Multi Actor Platform (MAP). Some interviews are summarized in the document, while others are integrated into the description.</p> <p>For each Beacon Region the current status of SFSCs is described in these chapters:</p> <ul> <li>Overall status</li> <li>Main regional drivers</li> <li>Environmental aspects</li> <li>Economic aspects</li> <li>Social aspects</li> </ul> <p>Along this information you will find a description of 5-10 important business or marketing models for each region together with statistics on market sectors and size. The description of the models is based on Business Model Canvas.</p> <p>The dataset contains the 12 regional reports, outlining the core topics of the regional assessment described above. In some regional reports, the notes from interviews with local actors are available and provided in the respective Annex. </p>
Framework for the Supply-side Food self-sufficiency ratio (SSFSSR)
<p><span>The SSFSSR is<span> <strong> </strong></span><strong>a method of calculating Food self-sufficiency Ratio (FSSR) by considering food from the point it enters the supply chain after harvest until it is consumed.</strong> It thus incorporates the stages of post-harvest, storage, import, and export. Most food in these stages is in the form of primary products, with some being processed into secondary products, such as livestock products, edible oils, sugar products, and juices, which undergo compositional changes. The SSFSSR automatically accounts for the quantitative loss of food due to spoilage, waste, rodent damage, and attrition during processing after harvest. <strong>The conventional methods of the FSSR excludes the calories of primary products used as intermediate inputs, such as livestock feed and raw materials for edible oils, as well as losses</strong>, spoilage, waste, rodent damage, and attrition during processing from the post-harvest stage until human consumption.</span></p>
Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: 773785
<p>Questionnaires: Opinions and data on short food supply chains related policy analysis in 9 EU countries generated in the H2020 SMARTCHAIN Project grant number: <strong>773785</strong></p>
Case study for Sustainable agri-food supply chain planning through multi-objective optimisation
<p>Case study used to solve the multi-objective model proposed in: Sustainable agri-food supply chain planning through multi-objective optimisation</p>
Animated video presenting the advancements from AI4DI Supply Chain for Food and Beverage industries
<p>This animated video presents the dvancements from AI4DI Supply Chain for Food and Beverage industries.</p>
Data from: The effects of food supply on reproductive hormones and timing of reproduction in an income-breeding seabird
<p class="CxSpFirst">Current food supply is a major driver of timing of breeding in income-breeding animals, likely because increased net energy balance directly increases reproductive hormones and advances breeding. In capital breeders, increased net energy balance increases energy reserves, which eventually leads to improved reproductive readiness and earlier breeding. To test the hypothesis that phenology of income-breeding birds is independent of energy reserves, we conducted an experiment on food-supplemented ("fed") and control female black-legged kittiwakes (<em>Rissa tridactyla</em>). We temporarily increased energy costs (via weight handicap) in a 2 × 2 design (fed/unfed; handicapped/unhandicapped) during the pre-laying period and observed movement via GPS-accelerometry. We measured body mass, baseline hormones (corticosterone; luteinising hormone) before and after handicap manipulation, and conducted a gonadotropin-releasing hormone challenge. Females from all treatment groups foraged in similar areas, implying that individuals could adjust time spent foraging, but had low flexibility to adjust foraging distance. Consistent with the idea that income breeders do not accumulate reserves in response to increased food supply, fed birds remained within an energy ceiling by reducing time foraging instead of increasing energy reserves. Moreover, body mass remained constant until the onset of follicle development 20 days prior to laying regardless of feeding or handicap, implying that females were using a 'lean and fit' approach to body mass rather than accumulating lipid reserves for breeding. Increased food supply advanced endocrine and laying phenology and altered interactions between the hypothalamic-pituitary-adrenal axis and the hypothalamic-pituitary-gonadal axis, but higher energy costs (handicap) had little effect. Consistent with our hypothesis, increased food supply (but not net energy balance) advanced endocrine and laying phenology in income-breeding birds without any impact on energy reserves.</p>
Annex - Information Technology as Enabler of Transparency in Food Supply Chains
<p>This is the Annex of the paper: Information Technology as Enabler of Transparency in Food Supply Chains</p>
Altered temperature and restricted food supply reduce pH tolerance in both juvenile and adult ascidians
<p>Data was generated during a laboratory study considering the pH tolerance of four ascidians. All methods are detailed within Matikinca P, Robinson TB (2024) Altered temperature and restricted food supply reduce pH tolerance in both young and adult ascidians. Marine Biology Research DOI: 10.1080/17451000.2024.2390528</p> <p>Data layout: The species, life stage and size of each individual is provided, along with the food supply and temperature treatment they were allocated to. CpHmin represents the pH at which the individual died. </p>
Supplementary material for "Filter-feeding gelatinous macrozooplankton response to climate change and implications for benthic food supply and global carbon cycle"
<p>Simulation Outputs Description<br> ---------------------------</p> <p>This text file outlines the contents of the simulation outputs utilized in the analysis presented in Clerc et al. (2023). Pre-treated outputs are not provided for storage reasons, but the complete output can be made available upon request. Spatial files are regridded to a 1-degree resolution regular grid using the treatment: cdo remapdis,r360x180 in.nc out.nc.</p> <p>Folder Names:<br> --------------</p> <p>Here is a brief overview of the content within each folder.</p> <p>- TS_PICONTROL: Globally averaged time series for the PI-control runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_RCP85: Globally averaged time series for the RCP8.5 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_RCP26: Globally averaged time series for the RCP2.6 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- EXPORT_LAYERS_PICONTROL: Time-averaged Pi-control flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- EXPORT_LAYERS_RCP85: Time-averaged RCP8.5 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- EXPORT_LAYERS_RCP26: Time-averaged RCP2.6 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.)</p> <p>- SURFACE_LAYERS_RCP85: Vertically integrated (0-300m) time-averaged RCP8.5 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- SURFACE_LAYERS_RCP26: Vertically integrated (0-300m) time-averaged RCP2.6 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- SURFACE_LAYERS_PICONTROL: Vertically integrated (0-300m) time-averaged PiControl outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.)</p> <p>- CHLOROPHYLL: Surface chlorophyll on a 360x180 degree grid, time-averaged over the indicated period. (Units: mg Chl/m3.)</p> <p>- TS_BIOME: Biome-specific averaged time series spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.)</p> <p>- TS_CFLX: Globally averaged carbon uptake time series spanning 1850-2100. (Units: PgC/yr.)</p> <p>- BIOMES: Biome masks on a regular 360x180 grid.</p> <p>Filename Conventions:<br> -----------------------</p> <p>Please refer to the following conventions for filenames.</p> <p>MODEL:<br> - PISCES-FFGM: SLP<br> - PISCES-v2: STD<br> - PISCES-GM: MAC</p> <p>FORCING:<br> - Pi-control: PI<br> - Climate-change scenario: AD</p> <p>PERIOD:<br> - 1881-1900: PRI<br> - 1995-2014: HIS<br> - 2081-2100: FUT</p> <p>DEPTH:<br> - 0-300 m: dmin0_dmax300<br> - 100 m: ilevel9<br> - 1000 m: ilevel21<br> - Seafloor: seafloor</p> <p>BIOMES:<br> - High Chlorophyll: HC<br> - Intermediate Chlorophyll: IC<br> - Low Chlorophyll: LC<br> - Southern Ocean: SO<br> - Arctic Ocean: LCA</p> <p>NetCDF Variables:<br> ------------------</p> <p>- SALP: Filter-feeding gelatinous Macrozooplankton (FFGM)<br> - ZOO3: Generic Macrozooplankton (GM)<br> - ZOO2: Mesozooplankton<br> - ZOO: Microzooplankton<br> - PHY: Nanophytoplankton<br> - PHY2: Diatoms<br> - POC: Small particles (quantity or flux)<br> - GOC: Large particles (quantity or flux)<br> - SPCC: FFGM carcasses carbon (content or flux)<br> - SPFC: FFGM fecal pellets carbon (content or flux)<br> - MPCC: GM carcasses carbon (content or flux)<br> - MPFC: GM fecal pellets carbon (content or flux)<br> - CHL: Chlorophyll<br> - Cflx: Carbon uptake<br> - NO3: Nitrate<br> - PO4: Phosphate<br> - O2: Oxygen</p> <p>For any inquiries or data access requests, please contact corentin.clerc -at- usys.ethz.ch.</p>
Data from: What is regulating chironomid populations? The influence of food supply and interference competition on development and mortality in <em>Chironomus riparius</em>
Open the record for dataset details and reuse information.
Data from: The effects of food supply on reproductive hormones and timing of reproduction in an income-breeding seabird
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Body size, light intensity and nutrient supply determine plankton stoichiometry in mixotrophic plankton food webs
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Predictability of food supply modulates nocturnal hypothermia in a small passerine
<p class="MsoBodyText">The combination of short days and long cold nights in winter, in temperate regions, presents a major challenge for small diurnal birds. Small birds regularly employ heterothermy and enter rest-phase hypothermia during winter nights to conserve energy. However, we know little about how environmental conditions, such as food availability, shape these strategies.</p> <p class="MsoBodyText">Using an experimental set-up, we manipulated food availability in winter to free-living great tits <i>Parus major</i>. A "predictable" and constant food supply was provided to birds in one area of a forest, while birds in another area did not have access to a reliable supplementary food source. We found that predictability of food affected the extent of nocturnal hypothermia, but the response differed between sexes. Whereas male nocturnal body temperature was similar regardless of food availability, females exposed to a naturally "unpredictable" food supply entered deeper hypothermia at night, compared with females that had access to predictable food and compared with males in both treatment groups. We suggest that this response likely is a consequence of dominance, and the subdominant females cannot maintain sufficient energy intake, resulting in a higher demand for energy conservation at night.</p>
Data from: Evolutionary and food supply implications of ongoing maize domestication by Mexican campesinos
Maize evolution under domestication is a process that continues today. Case studies suggest that Mexican smallholder family farmers, known as campesinos, contribute importantly to this, but their significance has not been explicitly quantified and analyzed as a whole. Here we examine the evolutionary and food security implications of the scale and scope under which campesinos produce maize. We gathered official municipal-level data on maize production under rainfed conditions and identified campesino agriculture as occurring in municipalities with average yields of ≤ 3 t/ha. Environmental conditions vary widely in those municipalities and are associated with a great diversity of maize races, representing 85.3% of native maize samples collected in the country. We estimate that in those municipalities around 1.38 x 1011 genetically different individual plants are subjected to evolution under domestication each season. This implies that 5.24x108 mother plants contribute to the next generation with their standing genetic diversity and rare alleles. Such a large breeding population size also increases the total number of adaptive mutations that may appear and be selected for. We also estimate that campesino agriculture could potentially feed around 54.7 million people in Mexico. These analyses provide insights about the contributions of smallholder agriculture around the world.
Data from: Predictable food supplies induce plastic shifts in avian scaled body mass
Urbanization constitutes one of the most profound forms of land-use change and strongly affects global biodiversity and ecosystem functioning. Expansion of urban areas typically leads to species loss but may also induce more subtle changes in species dynamics through selection or plasticity. Using a dual correlative (field) and experimental (aviary) approach, we here show that free-ranging urban house sparrows in southern France were smaller and lighter than their rural counterparts after allometric scaling, whereas 2 independent indices of nutritional (feather growth rates) and developmental (feather asymmetry) stress did not vary with urbanization. When subjecting these individuals to urban or rural diets in a highly predictable, controlled setting, rural but not urban sparrows decreased their body mass, independent of diet type, to the extent that initial scaled mass differences between urban and rural birds disappeared by the end of the captive period. By integrating field- and aviary measurements of body size and mass with indices of nutritional and developmental stress, we conclude that the lower scaled body masses of urban birds likely reflect a plastic response to predictable food supplies, possibly mediated through predation. Urban environments therefore do not necessarily constitute nutritionally stressful environments for species that typically cohabit with humans, such as house sparrows.
Effects of embryo energy, egg size and larval food supply on the development of asteroid echinoderms
Organisms have limited resources available to invest in reproduction, causing a tradeoff between the number and size of offspring. One consequence of this tradeoff is the evolution of disparate egg sizes and, by extension, developmental modes. In particular, echinoid echinoderms (sea urchins and sand dollars) have been widely used to experimentally manipulate how changes in egg size affect development. Here we test the generality of the echinoid results by 1) using laser ablations of blastomeres to experimentally reduce embryo energy in the asteroid echinoderms (sea stars), Pisaster ochraceus and Asterias forbesi and 2) comparing naturally produced, variably-sized eggs (1.7 fold volume difference between large and small eggs) in A. forbesi. In P. ochraceus and A. forbesi there were no significant differences between juveniles from both experimentally reduced embryos and naturally produced eggs of variable size. However, in both embryo reduction and egg size variation experiments, simultaneous reductions in larval food had a significant and large effect on larval and juvenile development. These results indicate that 1) food levels are more important than embryo energy or egg size in determining larval and juvenile quality in sea stars and 2) the relative importance of embryo energy or egg size to fundamental life history parameters (time-to and size-at metamorphosis), does not appear to be consistent within echinoderms.
Dashboard "Communication technologies used and parameters measured in Food Supply Chains in the scientific literature"
<p>This dashboard collects information about the communication technologies used and parameters measured in several scientific papers. Data can be filtered according to different criteria:</p> <ol> <li>Year of publication of the paper.</li> <li>Main topic in which the objetive of the paper is framed within.</li> <li>Stage of the food supply chain where the study is developed.</li> <li>Product group according to the Classification of Products by Activity (CPA) of the European Union.</li> </ol> <p>This dashboard was created by Manuel Amador Cervera for the University of Deusto in the context of the Horizon 2020 project "FOODRUS". The information contained in it refers to the scientific publications outlined in the table that can be found in the "References" sheet.<br> This project has received funding from the European Union’s Horizon 2020 Research & Innovation programme under Grant Agreement no. 101000617. This dashboard is the sole responsibility of the University of Deusto, and the European Union or any user is not liable for any use that may be made of the information contained therein.</p>
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