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43 results for “Sustainable agriculture”
Dataset for Assessing Multi-Dimensional Impacts of Achieving Sustainability Goals by Projecting the Sustainable Agriculture Matrix into the Future
<p>This data repository feeds into the meta-repository setup for post-processing of GCAM-SAM outputs. GitHub link of meta-repository is: <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">https://github.com/JGCRI/Kyle-etal_2022_EF</a> <br> <br> Folders: <br> <strong>model/</strong> is the static version of the model used to simulate 8 scenarios. See the <a href="https://github.com/pkyle/gcam-core/tree/gpk/paper/sam">GitHub GCAM-SAM repository</a> to follow active development of this model. <br> <strong>inputs/</strong> folder contains input datasets and scripts used to prepare files while postprocessing. This is to be used with <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">GitHub post-processing meta-repository</a>. <br> <strong>outdata/</strong> contains <a href="http://github.com/pkyle/gcam-core/tree/gpk/paper/sam">GCAM-SAM</a> output and <a href="http://github.com/JGCRI/Kyle-etal_2022_EF">post-processed</a> output files used to plot figures. <br> <br> Key files: <br> <em><strong>SAM-matrix.dat</strong></em> is the consolidated GCAM-SAM output. Use <em>proj_load.R</em> in the <a href="https://github.com/JGCRI/Kyle-etal_2022_EF">metarepo</a> to read the file. <br> <em><strong>region_vals.csv</strong></em> has all 8 indicators in all 8 scenarios for years 2020 till 2100 on a 10 year time step. <br> <br> Short introduction to the study:</p> <p>In this paper sustainable agriculture matrix (SAM) is estimated to 2100 using Global Change Analysis Model (GCAM). We model combinatorial variations of yield intensification, dietary shift, and greenhouse gas mitigation scenarios. Findings include scenarios having significant tradeoffs across multiple environmental, economic, and social dimensions. Assessment of these multi-dimensional tradeoffs in a consistent framework improves the quality of information for decision-making.<br> <br> Should you have any questions, feel free to reach out Page Kyle at <a href="mailto:pkyle@pnnl.gov">pkyle@pnnl.gov</a>. </p>
Survey data of an integrative evaluation framework for assessing the sustainability of different types of urban agriculture
<p>In this dataset we present core data of an integrative evaluation framework for assessing the environmental, social, and economic sustainability of urban agriculture. The multi-criteria analysis is conducted by an Analytic Hierarchy Process and a participatory approach. The data integrate the selection and weighting of sub-criteria based on two online surveys:</p> <p>1) Survey 1: The selection of suitable sub-criteria for assessing the sustainability of urban agriculture was done by European scientific experts.</p> <p>2) Survey 2: The weighting of the selected sub-criteria was done on the example of vertical farming and community supported agriculture. Therefore, we involved stakeholders representing key actors for the implementation of urban agriculture: city administrations and non-governmental organizations (NGOs) of ten German case study cities, practitioners and technical-scientific experts.</p> <p> </p> <p><strong>List of data and content</strong></p> <p>1) Survey_1 (*.zip):</p> <ul> <li>Survey_1_Criteria_Selection_English: Online survey in English (*.pdf)</li> <li>Survey_1_Information_Sub-criteria_English: Information about the sub-criteria provided in the survey (in English) (*.pdf)</li> <li>Survey_1_Groups: Results of the statistical analyses (U-tests and Kruscal-Wallis) to detect group-specific differences (e.g. gender, different length or degree of experience with urban agriculture, scientific focus, target group, expertise); the tests were conducted with IBM SPSS Statistics 25 (*.xlsx)</li> </ul> <p>2) Survey_2 (*.zip):</p> <ul> <li>Survey_2_AHP_City_Administrations_German: Online survey for city administrations in German (*.pdf)</li> <li>Survey_2_AHP_Practitioners_German: Online survey for practitioners and technical-scientific experts in German (*.pdf)</li> <li>Survey_2_AHP_NGOs_German: Online survey for NGOs in German (*.pdf)</li> <li>Survey_2_Information_Sub-Criteria_German: Information about the sub-criteria provided in the survey (in German) (*.pdf)</li> <li>Survey_2_Groups: Results of the statistical analyses (U-tests and Kruscal-Wallis) to detect group-specific differences (e.g. gender, different length or degree of experience with urban agriculture, scientific focus, target group, expertise); the tests were conducted with IBM SPSS Statistics 25 (*.xlsx)</li> <li>rdata_CA_AHP_edible_Cities_2022-03-18_10-28: Results of the survey for city administrations (*.csv)</li> <li>rdata_NGO_AHP_edible_Cities_2022-03-18_10-40: Results of the survey for NGOs (*.csv)</li> <li>rdata_PE_AHP_edible_Cities_2022-03-18_10-41: Results of the survey for practitioners and technical-scientific experts (*.csv)</li> <li>rdata_all_AHP_edible_Cities_2022-03-18_09-53: Total results of the survey</li> </ul> <p> </p> <p><strong>Data acquisition and processing</strong></p> <p>The methods are described in this linked publication:</p> <p><span>John, H., & Artmann, M. (2024). Introducing an integrative evaluation framework for assessing the sustainability of different types of urban agriculture. </span><span>I<em>nternational Journal of Urban Sustainable Development, </em></span>16 (1), 35-52<em><span>. </span></em><span>doi:<em> </em>10.1080/19463138.2024.2317795</span></p> <p>The methodology of the performed analytic hierarchy process (AHP) is published in a separate repository on GitHub including a paper that systematically explains the AHP by means of code examples, starting with the raw data, through their adaptation to the software functions of the ahpsurvey R-package, and finally, execution of the AHP up to the visualization of the results.</p> <p> </p> <p><strong>Acknowledgments</strong></p> <p>The authors thank Mabel Killinger and Marie Herzig for their help in stakeholder identification as well as all experts and stakeholders for their participation in the two online surveys and their helpful comments. Data processing and analysis by means of an Analytic Hierarchy Process in R would not have been possible without the help of Björn Kasper.</p>
Potential benefits of incorporating arable wildflowers into living mulches for sustainable agriculture
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Different types of semi-natural habitat are required to sustain diverse wild bee communities across agricultural landscapes
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Full list of signatories to: Pe'er et al. "Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Preprint version)
<p>This is the list of signatories to the Scientists' Statement on the EU's Common Agricultural Policy:</p> <p>"Action needed for the EU Common Agricultural Policy to address sustainability challenges" (Pe'er et al. 2019).</p> <p>The preprint version (DOI: 10.5281/zenodo.3666258) has been made available online between 4.11.2019 and 19.2.2020.</p> <p>Signatories were requested to read the full statement prior to adding their name in its support; and to provide a proof that they are scientists.</p> <p>A final version of the paper has been published in March 2020 in the journal People and Nature.</p> <p> </p>
Data from: Changes in soil pH and their dependence on the species of cereals and strategies for sustainable agriculture
<p>The acidity of the environment is one of the key elements determining proper conditions for crop cultivation. Inappropriate environmental conditions may contribute to numerous changes in plant raw materials. New strategies introduced in agriculture bring with them some uncertainties associated with the adaptation of plants to the soil. Currently, in the EU market, a gradual replacement of conventional strategies in favour of organic ones is observed. The change in fertilization strategy may lead to the emergence of new soil conditions in cultivation. Soil pH and humus content determine the phenomenon of soil fertility as well as soil physical, chemical, and biological properties. Rational and effective management of nutrients is related to the assessment of the content of available nutrients in the soil, as well as to the agronomic assessment of the soil class. This type of treatment is key in the planning of crops rotation. The study aimed to evaluate soil pH after combine harvesting, in wheat, rye, and barley crops cultivation according to two agricultural strategies, viz. ecological and conventional. In the course of the study mature soil was sampled. The research was carried out on pH meter CP 411 combined with an EPS-1 pH electrode. The obtained soil pH results varied according to the type of cereal grown. Statistical analysis of variance with the significance level of 0.05 showed no significant difference regardless of the implemented agricultural strategy. It is recommended once every 4 years to perform laboratory examination of soil pH for fertilization advice.</p>
Data from: Ditch network sustains functional connectivity and influences patterns of gene flow in an intensive agricultural landscape
In intensive agricultural landscapes, plant species previously relying on semi-natural habitats may persist as metapopulations within landscape linear elements. Maintenance of populations' connectivity through pollen and seed dispersal is a key factor in species persistence in the face of substantial habitat loss. The goals of this study were to investigate the potential corridor role of ditches and to identify the landscape components that significantly impact patterns of gene flow among remnant populations. Using microsatellite loci, we explored the spatial genetic structure of two hydrochorous wetland plants exhibiting contrasting local abundance and different habitat requirements: the rare and regionally protected Oenanthe aquatica and the more commonly distributed Lycopus europaeus, in an 83 km2 agricultural lowland located in northern France. Both species exhibited a significant spatial genetic structure, along with substantial levels of genetic differentiation, especially for L. europaeus, which also expressed high levels of inbreeding. Isolation-by-distance analysis revealed enhanced gene flow along ditches, indicating their key role in effective seed and pollen dispersal. Our data also suggested that the configuration of the ditch network and the landscape elements significantly affected population genetic structure, with (i) species-specific scale effects on the genetic neighborhood and (ii) detrimental impact of human ditch management on genetic diversity, especially for O. aquatica. Altogether, these findings highlighted the key role of ditches in the maintenance of plant biodiversity in intensive agricultural landscapes with few remnant wetland habitats.
A systems analysis of sustainability impacts of agricultural policies in India - Supporting Information
<p>This Supporting Information provides additional details about the HTE framework applied to study sustainability challenges and interventions in the rice-wheat cropping system of Punjab, India. It includes: </p><p>Supp. Info Word document with: </p><ul><li>Text S1-S2 (Table S1-S3) on detailed quantitative model set-up and model validation and sensitivity analysis results</li><li>Text S3-S4 (Table S4-S5) on methods used to evaluate the impacts of interventions on interactions, specifying direct (structural) and indirect (quantitative) changes as well as sustainability benefits using the inclusive wealth approach.</li><li>Text S5 on expert interviews conducted to inform choice of policy options analyzed in this work </li></ul><p> </p><p>Supp. Info Excel spreadsheet Data Set S1 with the following tables:</p><p>Data Table SD1: List of system components and their attributes</p><p>Data Table SD2: Detailed interaction matrix between system components</p><p>Data Table SD3: Attributes of crops and residues: crop production, protein content and residue generation</p><p>Data Table SD4: Attributes of crops: use of agricultural inputs for crop production </p><p>Data Table SD5: Attributes of technical components: Emission factors and GWP</p><p>Data Table SD6: Values of system components' attributes at t=1 (year=2019)</p><p>Data Tables SD7-SD14: Detailed quantitative impacts of interventions on sustainability metrics</p>
A Brief History of Menominee Agriculture: Historic Perceptions, Late Prehistoric Realities, and Ancestral Practices for a Sustainable Future (recording)
<p>William G. Gartner, a geoarchaeologist at the University of Wisconsin-Madison, delivered this talk on July 31st, 2024, at the Ethical Open Science for Past Global Change Data 2024 Symposium, in Keshena, Wisconsin, on the lands of the Menominee Nation. </p>
Quantitative assessment of agricultural sustainability reveals divergent priorities among nations
<p><span>Agriculture is fundamental to all three pillars of sustainability, environment, society, and economy. However, the definition of sustainable agriculture and capacities to measure it remain elusive. Independent and transparent measurements of national sustainability are needed to gauge progress, encourage accountability, and inform policy. Here, we developed a Sustainable Agriculture Matrix (SAM) to quantify national performance indicators in agriculture and to investigate the tradeoffs and synergies based on historical data for most countries of the world. The results reveal priority areas for improvement by each country and show that the trade-offs and synergies among indicators often differ. Exceptions to common economic-versus-environmental trade-offs, for example, offer opportunities to learn from countries with synergistic pathways for multiple sustainability indicators. These SAM indicators will improve as data become more available, but this version offers a useful starting point for evaluating progress, identifying priorities for improvement, and informing national policies and actions towards sustainable agriculture.</span></p>
Quantitative assessment of agricultural sustainability reveals divergent priorities among nations
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Global greenhouse gas emissions from agriculture: pathways to sustainable reductions
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Data from: Changes in soil pH and their dependence on the species of cereals and strategies for sustainable agriculture
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Data from: Ditch network sustains functional connectivity and influences patterns of gene flow in an intensive agricultural landscape
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Supplementary material 1 from: Strokov AS, Potashnikov VY (2022) Environmental tradeoffs of agricultural growth in Russian regions and possible sustainable pathways for 2030. Russian Journal of Economics 8(1): 60-80. https://doi.org/10.32609/j.ruje.8.78331
Maps of main environmental indicators of Russian regional agricultural development
Supplementary material 2 from: Strokov AS, Potashnikov VY (2022) Environmental tradeoffs of agricultural growth in Russian regions and possible sustainable pathways for 2030. Russian Journal of Economics 8(1): 60-80. https://doi.org/10.32609/j.ruje.8.78331
The dataset on agricultural waste, nitrogen concentration, and GHG emissions in Russian regions
Role of sustainable agricultural intensification in food and nutrition security of smallholder subsistence farmers: Evidence from cereal legume intercropping in Eastern Ethiopia
<p>This data set is a biological data generated through field experimentation on cereal legume intercropping. In general, the contents of the data set are type of treatment (experimental materials), site of experiment, biomass and grain yields, etc. There is no legal and ethical issues related to this data set and its process of generation. The data can be re-used with proper acknowledgement of the authors. </p>
Agricultural adaptation to reconcile food security and water sustainability under climate change: the case of cereals in Iran
<p>In this study, we simulate the crop yield and water footprint (WF) of major food crops of Iran on irrigated and rainfed croplands for the historical and the future climate. We assesse the effects of three agricultural adaptation strategies to climate change in terms of potential blue water savings. We then evaluate to what extent these savings can reduce unsustainable blue WF. We find that cereal production increases under climate change in both irrigated and rainfed croplands (by 2.6-3.1 and 1.4-2.3 million t y<sup>-1</sup>, respectively) due to increased yields (6.6%-78.7%). Simultaneously, the unit WF (m<sup>3</sup> t<sup>-1</sup>) tends to decrease in most scenarios. However, the annual consumptive water use increases in both irrigated and rainfed croplands (by 0.3-1.8 and 0.5-1.7 billion m<sup>3</sup> y<sup>-1</sup>, respectively). This is most noticeable in the arid regions, where consumptive water use increases by roughly 70% under climate change. Off-season cultivation is the most effective adaptation strategy to alleviate additional pressure on blue water resources, with blue water savings of 14-15 billion m<sup>3</sup> y<sup>-1</sup>. The second most effective is WF benchmarking, which results in blue water savings of 1.1-3.5 billion m<sup>3</sup> y<sup>-1</sup>. The early planting strategy is less effective, but still leads to blue water savings of 1.7-1.9 billion m<sup>3</sup> y<sup>-1</sup>. In the same order of effectiveness, these three strategies can reduce blue water scarcity and unsustainable blue water use in Iran under current conditions. However, we find that these strategies do not mitigate water scarcity in all provinces per se, nor all months of the year.</p>
Role of sustainable agricultural intensification in food and nutrition security of smallholder subsistence farmers: Evidence from cereal legume intercropping in Eastern Ethiopia
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Data from: Soil biota enhance agricultural sustainability by improving crop yield, nutrient uptake and reducing nitrogen leaching losses
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