FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313593778> ?p ?o ?g. }

• W4313593778 endingPage "135759" @default.
• W4313593778 startingPage "135759" @default.
• W4313593778 abstract "Agent-based models (ABMs) are particularly suitable to simulate human-natural systems since they allow modelers to consider the behavioral aspects of individuals. Life Cycle Assessment (LCA) has also been widely used in research, industry, and policy to assess systems' environmental sustainability. In this paper, we introduce a coupled ABM-LCA model to simulate mixed crop-livestock farming activities in the Grand Duchy of Luxembourg. The simulator considers a wide range of aspects related to typical farming business activities and allows the calculation of the environmental and economic impacts of the decisions taken by agents as well. The paper simulates different scenarios. Scenario A is the baseline scenario. Scenario B considers reducing the stocking rate from 1.6 to 1.3 livestock units per ha (LSU/ha). Scenario C aims to reduce the soybean ratio in animals’ feed rations to the minimum possible level that is feasible for each farm. Scenario D simulates an increase in soybean autonomy: the farmer chooses to adopt local soybean (instead of imported one) into the crop rotation if its green consciousness exceeds a pre-fixed threshold. As expected, in scenario B, all impact categories show improvement with respect to the baseline scenario, the highest ones being an almost 25% reduction in freshwater eutrophication, 21% in climate change - human health, and 19% in freshwater ecotoxicity. For natural land transformation, the most significant improvements are obtained in scenarios C (11% reduction) and D (13% reduction). On the other hand, in scenario C, the change in feed composition, combined with an expected decrease in stocking rates, also has a positive effect (about 16% reduction compared to the baseline) on agricultural land occupation, due to the utilization of pasture and locally produced crops. An analysis of the systemic uncertainty calculated at the endpoint indicators level showed low coefficients of variation (CV) for all the scenarios, with scenario A always having the lowest values of CV in every impact category, scenario C having the highest CV in the ecosystem quality and the human health categories and scenario B having the highest CV in the resources category. The consideration of subsidy schemes in the Grand Duchy of Luxembourg allows the modelers to better interpret the resulting revenue and cost structures of different scenarios. The results show that the farm profitability stays on the same level when the stocking rate is reduced, and the subsidy granted for reducing nitrogen emissions is in place at the same time. Moreover, the soybean autarky in Luxembourg can be increased to 17% if the farmers are willing to incorporate soybean into their rotation scheme, thus reducing the impacts due to the transportation and production of soybean in South American countries." @default.
• W4313593778 created "2023-01-06" @default.
• W4313593778 creator A5017181641 @default.
• W4313593778 creator A5019091931 @default.
• W4313593778 creator A5027928315 @default.
• W4313593778 creator A5067374815 @default.
• W4313593778 creator A5080037112 @default.
• W4313593778 creator A5080800803 @default.
• W4313593778 date "2023-02-01" @default.
• W4313593778 modified "2023-09-26" @default.
• W4313593778 title "Sustainable farming strategies for mixed crop-livestock farms in Luxembourg simulated with a hybrid agent-based and life-cycle assessment model" @default.
• W4313593778 cites W1935536680 @default.
• W4313593778 cites W1945084368 @default.
• W4313593778 cites W1980792586 @default.
• W4313593778 cites W1989465135 @default.
• W4313593778 cites W2039313905 @default.
• W4313593778 cites W2089993486 @default.
• W4313593778 cites W2092008105 @default.
• W4313593778 cites W2107411908 @default.
• W4313593778 cites W2122050911 @default.
• W4313593778 cites W2206866241 @default.
• W4313593778 cites W2338018034 @default.
• W4313593778 cites W2340972631 @default.
• W4313593778 cites W2462583090 @default.
• W4313593778 cites W2520448605 @default.
• W4313593778 cites W2553106384 @default.
• W4313593778 cites W2559872466 @default.
• W4313593778 cites W2564630286 @default.
• W4313593778 cites W2598961525 @default.
• W4313593778 cites W2599797818 @default.
• W4313593778 cites W2607050686 @default.
• W4313593778 cites W2766564513 @default.
• W4313593778 cites W2767846718 @default.
• W4313593778 cites W2799955051 @default.
• W4313593778 cites W2803014378 @default.
• W4313593778 cites W2894141306 @default.
• W4313593778 cites W2898223931 @default.
• W4313593778 cites W2936795231 @default.
• W4313593778 cites W2944373848 @default.
• W4313593778 cites W2991453699 @default.
• W4313593778 cites W3118997336 @default.
• W4313593778 cites W3121631991 @default.
• W4313593778 cites W3135170646 @default.
• W4313593778 cites W3148071517 @default.
• W4313593778 cites W3167131540 @default.
• W4313593778 cites W3169700586 @default.
• W4313593778 cites W4200561682 @default.
• W4313593778 doi "https://doi.org/10.1016/j.jclepro.2022.135759" @default.
• W4313593778 hasPublicationYear "2023" @default.
• W4313593778 type Work @default.
• W4313593778 citedByCount "2" @default.
• W4313593778 countsByYear W43135937782022 @default.
• W4313593778 countsByYear W43135937782023 @default.
• W4313593778 crossrefType "journal-article" @default.
• W4313593778 hasAuthorship W4313593778A5017181641 @default.
• W4313593778 hasAuthorship W4313593778A5019091931 @default.
• W4313593778 hasAuthorship W4313593778A5027928315 @default.
• W4313593778 hasAuthorship W4313593778A5067374815 @default.
• W4313593778 hasAuthorship W4313593778A5080037112 @default.
• W4313593778 hasAuthorship W4313593778A5080800803 @default.
• W4313593778 hasBestOaLocation W43135937781 @default.
• W4313593778 hasConcept C10138342 @default.
• W4313593778 hasConcept C107826830 @default.
• W4313593778 hasConcept C111368507 @default.
• W4313593778 hasConcept C112964050 @default.
• W4313593778 hasConcept C118518473 @default.
• W4313593778 hasConcept C12725497 @default.
• W4313593778 hasConcept C127313418 @default.
• W4313593778 hasConcept C134560507 @default.
• W4313593778 hasConcept C139719470 @default.
• W4313593778 hasConcept C144133560 @default.
• W4313593778 hasConcept C162324750 @default.
• W4313593778 hasConcept C166957645 @default.
• W4313593778 hasConcept C175760724 @default.
• W4313593778 hasConcept C18785705 @default.
• W4313593778 hasConcept C18903297 @default.
• W4313593778 hasConcept C205649164 @default.
• W4313593778 hasConcept C2778348673 @default.
• W4313593778 hasConcept C2778706760 @default.
• W4313593778 hasConcept C37621935 @default.
• W4313593778 hasConcept C39432304 @default.
• W4313593778 hasConcept C66204764 @default.
• W4313593778 hasConcept C86803240 @default.
• W4313593778 hasConcept C97137747 @default.
• W4313593778 hasConceptScore W4313593778C10138342 @default.
• W4313593778 hasConceptScore W4313593778C107826830 @default.
• W4313593778 hasConceptScore W4313593778C111368507 @default.
• W4313593778 hasConceptScore W4313593778C112964050 @default.
• W4313593778 hasConceptScore W4313593778C118518473 @default.
• W4313593778 hasConceptScore W4313593778C12725497 @default.
• W4313593778 hasConceptScore W4313593778C127313418 @default.
• W4313593778 hasConceptScore W4313593778C134560507 @default.
• W4313593778 hasConceptScore W4313593778C139719470 @default.
• W4313593778 hasConceptScore W4313593778C144133560 @default.
• W4313593778 hasConceptScore W4313593778C162324750 @default.
• W4313593778 hasConceptScore W4313593778C166957645 @default.
• W4313593778 hasConceptScore W4313593778C175760724 @default.
• W4313593778 hasConceptScore W4313593778C18785705 @default.

• next