Articles producció científica> Enginyeria Química

Using the available indicators of potential biodiversity damage for Life Cycle Assessment on soybean crop according to Brazilian ecoregions

  • Identification data

    Identifier: imarina:9218755
    Authors:
    Garcia Lucas, Kassio R.Anton, AssumpcioVentura, Mauricio UrsiPereira Andrade, EdileneRalisch, Ricardo
    Abstract:
    The purpose of the study was to evaluate the use of and suggest possible adjustments to indicators of biodiversity loss for LCA proposed by Chaudhary and Books (2018). For this, we analyzed soybean production in Brazil. Potential damage to biodiversity has been determined for all Brazilian ecoregions: the Amazon; the Atlantic forest; Caatinga; Cerrado; Pampas; and the Pantanal. Two dimensions of assessment were considered - global and regional - in addition to Average-country. An adjustment was proposed for the vulnerability coefficient to the indicators Average-country Brazil: the Regional Species Fragility Index (FI). Two inventories were created using two different functional units: area of production of soybean by ecoregion (year m2); and area corresponding to production of 1 kg of soybean (year m2). Thus, we observed that when the indicators of aggregate values were adopted, the Atlantic Forest was the ecoregion most affected by the crop. Regarding the assessments of the Potential Biodiversity Damage (BD) Global and Regional indicators, the Atlantic Forest and the Amazon were the ecoregions that suffered the highest impacts, mainly on plants, birds and amphibians taxa. Besides, the impacts at the global level were always more expressive than the regional ones. Due to this, we noticed that the results were influenced by the Vulnerability Score (VS). The suitability of the VS for FI is relevant and the adjustment in the equation can be suggested for other regions. Considering the results found here, to prevent regional impacts, technical measures such as extensive farming and crop rotation should be prioritized as impact mitigation actions. However, political measures tend to be more effective at geographic levels when addressing more than one ecoregion, due to the s
  • Others:

    Author, as appears in the article.: Garcia Lucas, Kassio R.; Anton, Assumpcio; Ventura, Mauricio Ursi; Pereira Andrade, Edilene; Ralisch, Ricardo;
    Department: Enginyeria Química
    URV's Author/s: ANTON VALLEJO, MARIA ASUNCIÓN / PEREIRA ANDRADE, EDILENE
    Project code: Grant agreement No. 713679
    Keywords: Soybean production Soybean Prioritization Pantanal Pampas Mitigation Life cycle analysis Life cycle Landuse change Land use change Land use Glycine max Geographics Fragility index Forestry Environmental indicator Ecoregions Ecoregion Ecological impact Damage detection Damage Cultivation Crops Crop rotation Crop production Characterization factors Cerrado Caatinga Brazilian biomes Brazil Biodiversity preservation Biodiversity loss Biodiversity Atlantic forest Argentina Amphibia Amazonas [brazil] Action plan
    Abstract: The purpose of the study was to evaluate the use of and suggest possible adjustments to indicators of biodiversity loss for LCA proposed by Chaudhary and Books (2018). For this, we analyzed soybean production in Brazil. Potential damage to biodiversity has been determined for all Brazilian ecoregions: the Amazon; the Atlantic forest; Caatinga; Cerrado; Pampas; and the Pantanal. Two dimensions of assessment were considered - global and regional - in addition to Average-country. An adjustment was proposed for the vulnerability coefficient to the indicators Average-country Brazil: the Regional Species Fragility Index (FI). Two inventories were created using two different functional units: area of production of soybean by ecoregion (year m2); and area corresponding to production of 1 kg of soybean (year m2). Thus, we observed that when the indicators of aggregate values were adopted, the Atlantic Forest was the ecoregion most affected by the crop. Regarding the assessments of the Potential Biodiversity Damage (BD) Global and Regional indicators, the Atlantic Forest and the Amazon were the ecoregions that suffered the highest impacts, mainly on plants, birds and amphibians taxa. Besides, the impacts at the global level were always more expressive than the regional ones. Due to this, we noticed that the results were influenced by the Vulnerability Score (VS). The suitability of the VS for FI is relevant and the adjustment in the equation can be suggested for other regions. Considering the results found here, to prevent regional impacts, technical measures such as extensive farming and crop rotation should be prioritized as impact mitigation actions. However, political measures tend to be more effective at geographic levels when addressing more than one ecoregion, due to the standardization of preservation procedures. Thus, from the results reported here, we conclude that the FI is relevant to diagnose measures at the administrative geographic levels of the ecoregions present in a single country, and the applied indicators reinforce that the Atlantic Forest ecoregion is the most vulnerable due to the replacement of wild forest for cultivated areas, which includes soybean crops.
    Thematic Areas: Zootecnia / recursos pesqueiros Sociología Saúde coletiva Química Planejamento urbano e regional / demografia Nutrição Medicina veterinaria Medicina ii Medicina i Interdisciplinar Geografía Geociências General decision sciences Environmental sciences Engenharias iv Engenharias iii Engenharias ii Engenharias i Ecology, evolution, behavior and systematics Ecology Decision sciences (miscellaneous) Decision sciences (all) Ciencias sociales Ciências biológicas ii Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Biodiversidade Antropologia / arqueologia Administração pública e de empresas, ciências contábeis e turismo
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    ISSN: 1470160X
    Author's mail: edilene.pereira@urv.cat edilene.pereira@urv.cat
    Author identifier: 0000-0001-8910-4911 0000-0001-8910-4911
    Record's date: 2024-07-27
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.sciencedirect.com/science/article/pii/S1470160X2100474X
    Funding program: Marie Skłodowska-Curie Actions - European Union's Horizon 2020 research and innovation programme
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Ecological Indicators. 127 (107809):
    APA: Garcia Lucas, Kassio R.; Anton, Assumpcio; Ventura, Mauricio Ursi; Pereira Andrade, Edilene; Ralisch, Ricardo; (2021). Using the available indicators of potential biodiversity damage for Life Cycle Assessment on soybean crop according to Brazilian ecoregions. Ecological Indicators, 127(107809), -. DOI: 10.1016/j.ecolind.2021.107809
    Acronym: MFP
    Article's DOI: 10.1016/j.ecolind.2021.107809
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Funding program action: Martí i Franquès COFUND Doctoral Programme
    Publication Type: Journal Publications
  • Keywords:

    Decision Sciences (Miscellaneous),Ecology,Ecology, Evolution, Behavior and Systematics,Environmental Sciences
    Soybean production
    Soybean
    Prioritization
    Pantanal
    Pampas
    Mitigation
    Life cycle analysis
    Life cycle
    Landuse change
    Land use change
    Land use
    Glycine max
    Geographics
    Fragility index
    Forestry
    Environmental indicator
    Ecoregions
    Ecoregion
    Ecological impact
    Damage detection
    Damage
    Cultivation
    Crops
    Crop rotation
    Crop production
    Characterization factors
    Cerrado
    Caatinga
    Brazilian biomes
    Brazil
    Biodiversity preservation
    Biodiversity loss
    Biodiversity
    Atlantic forest
    Argentina
    Amphibia
    Amazonas [brazil]
    Action plan
    Zootecnia / recursos pesqueiros
    Sociología
    Saúde coletiva
    Química
    Planejamento urbano e regional / demografia
    Nutrição
    Medicina veterinaria
    Medicina ii
    Medicina i
    Interdisciplinar
    Geografía
    Geociências
    General decision sciences
    Environmental sciences
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Ecology, evolution, behavior and systematics
    Ecology
    Decision sciences (miscellaneous)
    Decision sciences (all)
    Ciencias sociales
    Ciências biológicas ii
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Biodiversidade
    Antropologia / arqueologia
    Administração pública e de empresas, ciências contábeis e turismo
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