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Processoepd.additionalLciaResults = Indicadores adicionais de impacto ambientalConjunto de dados: coffee green bean production, arabica, manual (br) en

Informações sobre o conjunto de dados-chave
Localização BR-MG
Descrição da representatividade geográfica The inventory is modelled for Brazil, Minas Gerais
Ano de referência 2020
Nome
coffee green bean production, arabica, manual
Sinônimos coffee cultivation, coffee beans production, green coffee beans production
Classificação
Nome da classe : Nível hierárquico
  • ISIC rev.4 ecoinvent: A.Agriculture, forestry and fishing / 01:Crop and animal production, hunting and related service activities / 012:Growing of perennial crops / 0127:Growing of beverage crops
Comentário geral sobre o conjunto de dados Activity Linkable Id: a00cc675-e773-5df3-94b3-752d0033b1db Activity Subtype: ordinary transforming activity Tag: No Macroeconomic Scenario: Business-as-Usual The raw data collected in interviews were organized in electronic spreadsheets and checked for completeness and consistency. Agricultural inputs were detailed as to their composition and physical characteristics. Agricultural operations were characterized in terms type of fuel and specific consumption. Precipitation is enought to supply water to the crop, no extra water needed. Emissions from the agricultural process were estimated using the BRCalc/ICVCalc tool, developed by Embrapa Environment, which includes specific climate and soil databases for the 137 Brazilian agricultural mesoregions, in addition to databases of parameters related to agricultural crops, fertilisers and pesticides. The main emission models adopted by BRCalc/ICVCalc (Folegatti-Matsuura et al., 2022) derive from the references: Nemecek et al. (2015), IPCC (2019), Nemecek & Kagi (2007), Folegatti-Matsuura & Picoli (2018). It was used the model BRLUC (Donke et al., 2020) to estimate the LUC emissions.
Direitos autorais Sim
Referência quantitativa
Fluxo(s) de referência
Conteúdo biogênico de carbono
  • carbon content, non-fossil: 0.44472171808805205 kg
Representatividade de tempo
Conjunto de dados válido até 2023
Descrição da representatividade de tempo Validity: Data is valid for the entire period. Time period of the most of the data collected for this dataset.
Representatividade tecnológica
Descrição da tecnologia, incluindo sistema de fundo Technology Level: Current This dataset represents the production of 1 kg of green coffee beans (Arabic) in the South region in the state of Minas Gerais, which is composed of the coffee production region of South/Southwest. Planting and harvesting are manual activities while cultivation is predominantly mechanized. The period of 20 years was adopted as the average life span of a coffee plantation, from the cleaning of the land to the last year of the coffee plantation in production, before a new cleaning. In this study, it was assumed that the phases of implantation and formation of the coffee plantation last one year and two years, respectively. For the formation phase, the data collected correspond to the average of two years. The full production phase lasts 18 years. Grain production data were “annualized” (ie calculated for the reference of 1 hectare of coffee per year). Therefore, the input flows (natural resources, agricultural inputs and energy) and outflows (emissions to air, water and soil) of the initial phases were divided by 20. The input flows of the full production phase correspond to the average of two consecutive agricultural years, considering the behavior of the coffee plantation of alternating years of higher and lower production in succession. Mineral fertiliser input is 1534 kg ammonium sulphate/ha, 255 kg monoammonium phosphate/ha, 1026 kg potassium chloride/ha, 15 kg N (inorganic nitrogen fertiliser)/ha and 20 kg P2O5 (inorganic phosphorus fertiliser)/ha. Total active ingredients (a.i.) applied as pesticides amount to 5.9 kg a.i./ha. No manure is applied. The average productivity is 2564 kg/ha, at 10% moisture. The amount of packing for fertilisers was calculated by adding the NPK inputs (elements and not commercial fertiliser) multiplying this total by two. Agricultural operation was modelled based on the total diesel consumed to perform the operation and the emissions to air related to diesel burning. Activity Start: This activity starts with reforming and cleaning of the area after the harvest of the previous crop Activity End: The dataset includes the inputs of correctives, mineral fertilisers and pesticides and organic fertiliser. The dataset includes the agricultural operations and the amount of fuel consumed during operations and emissions related. The dataset also includes direct field emissions and land use change emissions, with important regionalizations added. The dataset doesn't include: seedlings production, drying, cleaning and storage of harvested grains. The activity ends after harvest at the farm gate.
Modelo matemático
Variável / parâmetro Fórmula Valor médio Valor mínimo Valor máximo Tipo de distribuição de incertezas StdDev relativo em % Comentário geral
Eq_uv_2 3.9e-05*__ha_to_m2__ 0.39 0.04923742709744588 3.0891134847273523 LOG_NORMAL 7.920803806993211 % [m2] Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07
__ha_to_m2__ 10000.0 % Conversion from ha to m2
Eq_uv_3 0.122*__kWh_to_MJ__ 0.4392 0.05544891790050828 3.4788170320314182 LOG_NORMAL 7.920803806993211 % [MJ] Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07
__kWh_to_MJ__ 3.6 % Conversion from kWh to MJ
Eq_uv_4 1.95e-05*__ha_to_m2__ 0.195 0.02461871354872294 1.5445567423636761 LOG_NORMAL 7.920803806993211 % [m2] Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07
Eq_uv_5 1.43e-05*__ha_to_m2__ 0.14300000000000002 0.015580186734122337 1.3125003152378416 LOG_NORMAL 9.178323882782108 % [m2] Uncertainty Comment: Pedigree: (2,1,1,2,3); Basic Variance: 1.22
Eq_uv_6 1.95e-05*__ha_to_m2__ 0.195 0.02461871354872294 1.5445567423636761 LOG_NORMAL 7.920803806993211 % [m2] Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07
Eq_uv_7 1.95e-05*__ha_to_m2__ 0.195 0.02461871354872294 1.5445567423636761 LOG_NORMAL 7.920803806993211 % [m2] Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07
manganese_sulfate_output_MW 0.0 % [g_per_mol]
Método LCI e alocação
Tipo de conjunto de dados Unit process, black box
Princípio do Método LCI Not applicable
Desvio do princípio do método LCI / explicações Original ecoinvent System Model: Undefined
O método LCI se aproxima
  • Not applicable
Desvios do método LCI aproximam-se / explicações Coffee is a perennial crop and is cultivated in dedicated areas, not requiring any allocation actions.
Fontes de dados, tratamento e representatividade
Desvio dos princípios/explicações de corte e completude de dados none
Desvio da seleção de dados e princípios/explicações de combinação none
Desvio do tratamento de dados e princípios / explicações das extrapolações none
Volume anual de fornecimento ou produção Production volume for coffee, green bean is 939723000.0 kilogram
Procedimento de amostragem The main source of data for agricultural inputs and operations is interview with relevant coffee producers located in Minas Gerais state. Emissions from the agricultural process are estimated using BRCalc/ICVCalc (Folegatti-Matsuura et al., 2022).
Integralidade
Completude do modelo do produto No statement
Validação
Detalhes da revisão
Date of Review: 2022-07-29 Review Version: 3.0.0.9 Validation failed with errors: - Non-global datasets cannot be uploaded unless a global dataset (for the same activity name, time period and macro-economic scenario) exists in the database or is uploaded together with the non-global dataset. No matching activities found. If you have already submitted a corresponding global dataset for review, you make ask the database administrator to abort this submission, so that you can upload your non-global datasets together with the global. - No GLO dataset found! Related datasets:
Comentários de revisão subseqüente
Validation warnings: - Mass and/or economic deficit in activity dataset exceeds either 0.1% of input or output sum: Property 'carbon content, fossil': - Input='0.424932753109153', Output='0.059911794309969' - Input > output by 0.365020958799184 kg (609.26% of output) Property 'carbon content, non-fossil': - Input='0.452829517591107', Output='0.474644249750099' - Input < output by 0.0218147321589923 kg (4.6% of output) Property 'water in wet mass': - Input='0', Output='0.0925589836661' - Input < output by 0.0925589836661 kg (100% of output) Property 'dry mass': - Input='3.27560009452327', Output='1.56520918394201' - Input > output by 1.71039091058127 kg (109.28% of output) Property 'wet mass': - Input='3.27560009452327', Output='1.65776816760801' - Input > output by 1.61783192691527 kg (97.59% of output) Property 'price': - Input='0.02826084', Output='0' - Input > output by 0.02826084 EUR2005 - The total water in wet mass of all input exchanges (0) and output exchanges (0.0925589836661) is unbalanced. - The dataset contains user added exchange master data entries. The following user added exchanges do not contain product information data. Please consider adding the appropriate data before submitting the dataset for review. - Flutriafol - Copper oxychloride - Uncertainty shall always be provided for all primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): water content=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water content=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, water content=0, dry mass=1, wet mass=1, carbon content, fossil=0, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, water content=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, carbon content, fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, fossil=0, wet mass=1, dry mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.0952062831866544, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0.476031415933272, water content=0, carbon content, fossil=0.476031415933272, water in wet mass=0, wet mass=1, dry mass=1, carbon content, fossil=0.922578950360014, water content=0, water in wet mass=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.922578950360014, water content=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.748686634968048, water content=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, water in wet mass=0, carbon content, fossil=0.434314460785212, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.329386599387079, water content=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.797535211267606, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.428805015280039, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.440921815395685, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.436893203883495, wet mass=1, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.498099844957013, water content=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, dry mass=1, carbon content, fossil=0.629737609329, water content=0, carbon content, fossil=0.617468132866023, carbon content, non-fossil=0, water in wet mass=0, water content=0, wet mass=1, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0.619197040190902, water content=0, carbon content, non-fossil=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0.272916486782489, water content=0, wet mass=1, dry mass=1, carbon content, fossil=0.588436811443917, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.42281732714395, wet mass=1, dry mass=1, dry mass=1, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0.637259782933386, carbon content, non-fossil=0, carbon content, fossil=0.308335276395981, water in wet mass=0, water content=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, dry mass=1, wet mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.213119671335434, carbon content, non-fossil=0, dry mass=1, wet mass=1, carbon content, non-fossil=0.748686634968048, water content=0, carbon content, fossil=0, water in wet mass=0, dry mass=1, wet mass=1, dry mass=1, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, water content=0, water in wet mass=0, wet mass=1, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, wet mass=1, dry mass=1, carbon content, fossil=0, water in wet mass=0, carbon content, non-fossil=0, water content=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, water in wet mass=0, water content=0, carbon content, fossil=0.272916486782489, wet mass=1, dry mass=1, carbon content, fossil=0, carbon content, non-fossil=0.272916486782489, water in wet mass=0, water content=0, wet mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=0, wet mass=0 - Pedigree information shall always be provided for all uncertainties of primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): water content=0, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, carbon content, 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Nome do revisor e instituição
Detalhes da revisão
Date of Review: 2022-09-16 Review Version: 3.1.0.3 Validation failed with errors: - Non-global datasets cannot be uploaded unless a global dataset (for the same activity name, time period and macro-economic scenario) exists in the database or is uploaded together with the non-global dataset. No matching activities found. If you have already submitted a corresponding global dataset for review, you make ask the database administrator to abort this submission, so that you can upload your non-global datasets together with the global. - No GLO dataset found! Related datasets:
Comentários de revisão subseqüente
Validation warnings: - Mass and/or economic deficit in activity dataset exceeds either 0.1% of input or output sum: Property 'dry mass': - Input='3.12895187173703', Output='1.41856096115577' - Input > output by 1.71039091058127 kg (120.57% of output) Property 'carbon content, fossil': - Input='0.424932753109153', Output='0.059911794309969' - Input > output by 0.365020958799184 kg (609.26% of output) Property 'carbon content, non-fossil': - Input='0.452829517591107', Output='0.474644249750099' - Input < output by 0.0218147321589923 kg (4.6% of output) Property 'water in wet mass': - Input='0', Output='0.0925589836661' - Input < output by 0.0925589836661 kg (100% of output) Property 'wet mass': - Input='3.12895187173703', Output='1.51111994482177' - Input > output by 1.61783192691527 kg (107.06% of output) Property 'price': - Input='0.02826084', Output='0' - Input > output by 0.02826084 EUR2005 - The total water in wet mass of all input exchanges (0) and output exchanges (0.0925589836661) is unbalanced. - Uncertainty shall always be provided for all primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): dry mass=1, water content=0, carbon content, fossil=0.272916486782489, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0.617468132866023, carbon content, fossil=0.637259782933386, dry mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, carbon content, non-fossil=0, dry mass=1, water content=0, wet mass=1, water in wet mass=0, water in wet mass=0, carbon content, fossil=0.498099844957013, water content=0, dry mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, water in wet mass=0, dry mass=1, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.629737609329, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.440921815395685, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.436893203883495, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, water content=0, dry mass=1, carbon content, non-fossil=0.272916486782489, water content=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0.308335276395981, wet mass=1, water in wet mass=0, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, wet mass=0, dry mass=0, carbon content, fossil=0, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.213119671335434, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.42281732714395, wet mass=1, dry mass=1, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, water content=0, water content=0, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, wet mass=1, carbon content, fossil=0.588436811443917, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, water content=0, water in wet mass=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0.272916486782489, wet mass=1, carbon content, fossil=0, dry mass=1, water content=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.619197040190902, carbon content, non-fossil=0, carbon content, non-fossil=0.748686634968048, water content=0, dry mass=1, wet mass=1, carbon content, fossil=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, water content=0, water in wet mass=0, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, dry mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, dry mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.922578950360014, wet mass=1, carbon content, non-fossil=0, water content=0, dry mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0.797535211267606, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.329386599387079, water content=0, water in wet mass=0, dry mass=1, dry mass=1, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0.476031415933272, wet mass=1, carbon content, fossil=0.476031415933272, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, dry mass=1, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0.922578950360014, wet mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.434314460785212, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, fossil=0, water in wet mass=0, carbon content, fossil=0, wet mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, water content=0, water in wet mass=0, dry mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, dry mass=1, carbon content, fossil=0.428805015280039, water content=0, carbon content, non-fossil=0, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, water in wet mass=0, water content=0, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, wet mass=1, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.0952062831866544, dry mass=1, water content=0, dry mass=1, water content=0, water in wet mass=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.748686634968048, dry mass=1, water content=0 - Pedigree information shall always be provided for all uncertainties of primary data inputs (exchange amounts, properties and parameters), except for the amount and properties of reference products. -- Property(ies): dry mass=1, water content=0, carbon content, fossil=0.272916486782489, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, dry mass=1, carbon content, fossil=0.617468132866023, carbon content, fossil=0.637259782933386, dry mass=1, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, carbon content, non-fossil=0, dry mass=1, water content=0, wet mass=1, water in wet mass=0, water in wet mass=0, carbon content, fossil=0.498099844957013, water content=0, dry mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0.428805015280039, water content=0, water in wet mass=0, dry mass=1, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0.629737609329, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.440921815395685, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.436893203883495, water in wet mass=0, water content=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, fossil=0, carbon content, non-fossil=0, water in wet mass=0, wet mass=1, water content=0, dry mass=1, carbon content, non-fossil=0.272916486782489, water content=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, dry mass=1, carbon content, non-fossil=0, carbon content, fossil=0.308335276395981, wet mass=1, water in wet mass=0, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, wet mass=0, dry mass=0, carbon content, fossil=0, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0.213119671335434, carbon content, non-fossil=0, wet mass=1, water in wet mass=0, carbon content, non-fossil=0, water content=0, carbon content, fossil=0.42281732714395, wet mass=1, dry mass=1, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, water content=0, water content=0, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, wet mass=1, carbon content, fossil=0.588436811443917, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, water content=0, water in wet mass=0, dry mass=1, water in wet mass=0, carbon content, non-fossil=0.272916486782489, wet mass=1, carbon content, fossil=0, dry mass=1, water content=0, wet mass=1, water content=0, dry mass=1, water in wet mass=0, carbon content, fossil=0.619197040190902, carbon content, non-fossil=0, carbon content, non-fossil=0.748686634968048, water content=0, dry mass=1, wet mass=1, carbon content, fossil=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, water content=0, water in wet mass=0, water in wet mass=0, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, wet mass=1, dry mass=1, water content=0, carbon content, fossil=0, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0, dry mass=1, water content=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.922578950360014, wet mass=1, carbon content, non-fossil=0, water content=0, dry mass=1, dry mass=1, water in wet mass=0, carbon content, fossil=0.797535211267606, water content=0, carbon content, non-fossil=0, wet mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0.329386599387079, water content=0, water in wet mass=0, dry mass=1, dry mass=1, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, non-fossil=0, wet mass=1, dry mass=1, water in wet mass=0, water content=0, carbon content, fossil=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water content=0, carbon content, non-fossil=0, water in wet mass=0, dry mass=1, dry mass=1, water in wet mass=0, carbon content, non-fossil=0.476031415933272, wet mass=1, carbon content, fossil=0.476031415933272, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water content=0, water in wet mass=0, dry mass=1, water in wet mass=0, dry mass=1, water content=0, carbon content, fossil=0.922578950360014, wet mass=1, carbon content, non-fossil=0, water content=0, water in wet mass=0, dry mass=1, carbon content, fossil=0.434314460785212, carbon content, non-fossil=0, wet mass=1, dry mass=1, carbon content, non-fossil=0, wet mass=1, water content=0, water in wet mass=0, carbon content, fossil=0, water in wet mass=0, carbon content, fossil=0, wet mass=1, water content=0, carbon content, non-fossil=0, dry mass=1, carbon content, fossil=0, water content=0, water in wet mass=0, dry mass=1, carbon content, non-fossil=0, wet mass=1, carbon content, fossil=0, dry mass=1, water in wet mass=0, wet mass=1, carbon content, non-fossil=0, water content=0, wet mass=1, dry mass=1, carbon content, fossil=0.428805015280039, water content=0, carbon content, non-fossil=0, water in wet mass=0, carbon content, non-fossil=0, carbon content, fossil=0, wet mass=1, water in wet mass=0, dry mass=1, water content=0, water in wet mass=0, water content=0, carbon content, fossil=0, wet mass=1, carbon content, non-fossil=0, dry mass=1, wet mass=1, carbon content, fossil=0, water content=0, carbon content, non-fossil=0, dry mass=1, water in wet mass=0, water in wet mass=0, wet mass=1, water content=0, carbon content, non-fossil=0, carbon content, fossil=0, dry mass=1, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.0952062831866544, dry mass=1, water content=0, dry mass=1, water content=0, water in wet mass=0, wet mass=1, carbon content, fossil=0, carbon content, non-fossil=0, wet mass=1, carbon content, non-fossil=0, water in wet mass=0, carbon content, fossil=0.748686634968048, dry mass=1, water content=0
Nome do revisor e instituição
Nome do revisor e instituição
Detalhes da revisão
Date of Review: 2022-07-29 Review Version: 3.0.0.9 all the review comments have been addressed, solved or better explained
Comentários de revisão subseqüente
agricultural operations with minor consumption (fertilizer distribution, pesticide application, etc) should be better defined in the future updates, for the sake of precision even if the overall impact don't change significantly
Nome do revisor e instituição
Gerador de dados
Gerador / modelador de conjunto de dados
Entrada de dados por
Carimbo de tempo (último gravado) 2023-02-24T01:38:46
Formato(s) do(s) conjunto(s) de dados
Conjunto de dados original convertido de
Entrada de dados por
Publicação e propriedade
UUID e0ce1a90-c551-5f29-bf13-84c11f3375c0
Data da última revisão 2022-09-16T00:00:00
Versão do conjunto de dados 03.01.000
Fluxo de trabalho e status de publicação Data set finalised; entirely published
Republicação sem alterações de
Direitos autorais Sim
Tipo de licença License fee
Restrições de acesso e uso Licensees; Licensees

Entradas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
Product flow
allocatable product Eq_uv_2 1.0 m20.39 m2 0.04923742709744588 3.0891134847273523
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Refers to application of pesticides
Product flow
allocatable product Eq_uv_3 1.0 MJ0.4392 MJ 0.05544891790050828 3.4788170320314182
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Electricity amount used in agricultural field
Product flow
8: Business and production services / 86: Support and operation services to agriculture, hunting, forestry, fishing, mining and utilities / 861: Support and operation services to agriculture, hunting, forestry and fishing / 8612: Animal husbandry services / 86122: Support services to farm animal husbandry Eq_uv_4 1.0 m20.195 m2 0.02461871354872294 1.5445567423636761
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Refers to weed control operation
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 36: Rubber and plastics products / 364: Packaging products of plastics / 3641: Sacks and bags, of plastics / 36410: Sacks and bags, of plastics 0.429 kg0.429 kg 0.03310680152834099 5.559008768710327
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,5,4); Basic Variance: 1.59 The HDPE packaging was considered for macronutrient fertilisers. Soil correctives were not considered in the packaging calculation since these are transported in bulk. The amount of packaging for pesticides was also estimated. It was considered twice the value of the active ingredient of fertilisers and pesticides applied in the field to account for the packaging of the diluted products. The production and disposal of the packaging were included in this exchange.
Product flow
allocatable product Eq_uv_5 1.0 m20.14300000000000002 m2 0.015580186734122337 1.3125003152378416
Comentário geral Uncertainty Comment: Pedigree: (2,1,1,2,3); Basic Variance: 1.22 LUC modeling implemented in ecoinvent for Brazil is based on Donke et al. (2020). LUC amount was updated, based on yield and crop expansion rate from IBGE (2022). Reference years: average among 2017, 2018, 2019. Equation: (1/yield * % crop expansion). The yield is the average for the years 2017 to 2019. Expansion: difference of the average area of the years 2017 to 2019 (t1=t0+20) for the years 1998 to 2000 (t0), by the formula (1-(t0/t1)).
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides / 3463: Mineral or chemical fertilizers, potassic / 34631: Potassium chloride (muriate of potash) 0.113 kg0.113 kg 0.014266228876952267 0.8950508301902329
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Product flow
allocatable product 7.42E-5 kg7.42E-5 kg 8.001016564749801E-6 6.881175604930355E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 The amount of biodiesel fuel (B12 mix in Brazil) used in agricultural operations not found in ecoinvent plus the fatty acids used as pesticide adjuvant
7.71E-4 7.71E-4 9.733860587725838E-5 0.006106939735191766
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 No specific inventory was found in ecoinvent with chemical formula corresponding to a fertilizer with micronutients. It was necessary to adapt the amount of micronutrients to a processes (flows) available in this database, based on the molar masse of the micronutrients.
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides / 3462: Mineral or chemical fertilizers, phosphatic / 34621: Superphosphate 0.00976 kg0.00976 kg 0.0012321981755668507 0.07730704515625374
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Product flow
allocatable product 0.00732 kg0.00732 kg 9.24148631675138E-4 0.057980283867190306
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
0.0821 0.0821 0.010077652212806914 0.6688472530768755
Comentário geral Uncertainty Comment: Pedigree: (1,1,1,1,1); Basic Variance: 1.1 The amount of coffee seedlings used to start coffee production
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides 0.00387 kg0.00387 kg 4.885867765823475E-4 0.03065351073306373
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The commercial pesticides not found in the ecoinvent database were summed up and added as “pesticide, unspecified”
Product flow
1: Ores and minerals; electricity, gas and water / 16: Other minerals / 163: Precious and semi-precious stones; pumice stone; emery; natural abrasives; other minerals / 1633: Chalk and dolomite / 16330: Chalk and dolomite 0.449 kg0.449 kg 0.05668616606859795 3.556440909339952
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of soil corrective was obtained from interviews with producers and experts.
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 36: Rubber and plastics products / 364: Packaging products of plastics / 3649: Other articles for the conveyance or packing of goods, of plastics; stoppers, lids, caps and other closures, of plastics / 36490: Other articles for the conveyance or packing of goods, of plastics; stoppers, lids, caps and other closures, of plastics 0.0112 kg0.0112 kg 8.64326753187457E-4 0.14513029885677312
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,5,4); Basic Variance: 1.59 The HDPE packaging was considered for macronutrient fertilisers. Soil correctives were not considered in the packaging calculation since these are transported in bulk. The amount of packaging for pesticides was also estimated. It was considered twice the value of the active ingredient of fertilisers and pesticides applied in the field to account for the packaging of the diluted products. The production and disposal of the packaging were included in this exchange.
Product flow
allocatable product 0.418 kg0.418 kg 0.052772421863416345 3.310895991323162
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Product flow
8: Business and production services / 86: Support and operation services to agriculture, hunting, forestry, fishing, mining and utilities / 861: Support and operation services to agriculture, hunting, forestry and fishing / 8611: Support and operation services to crop production / 86119: Other support services to crop production Eq_uv_6 1.0 m20.195 m2 0.02461871354872294 1.5445567423636761
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Refers to application of soil correctives
Product flow
8: Business and production services / 86: Support and operation services to agriculture, hunting, forestry, fishing, mining and utilities / 861: Support and operation services to agriculture, hunting, forestry and fishing / 8611: Support and operation services to crop production / 86119: Other support services to crop production Eq_uv_7 1.0 m20.195 m2 0.02461871354872294 1.5445567423636761
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Refers to the operation of subsoiling, for preparing the field before the seedlings are planted
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides / 3466: Insecticides, fungicides, herbicides and disinfectants / 34663: Herbicides, anti-sprouting products and plant-growth regulators 0.00173 kg0.00173 kg 2.1841217661174709E-4 0.013702990586098255
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of pesticide or adjuvant was obtained from interviews with producers and experts. Concentration of the active ingredient was obtained in the Material Safety Data Sheet. The amount of dilution water was 200 L/ha per application.
Product flow
allocatable product 6.53E-4 kg6.53E-4 kg 8.244112793495426E-5 0.0051722848859665676
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 No specific inventory was found in ecoinvent with chemical formula corresponding to a fertilizer with micronutients. It was necessary to adapt the amount of micronutrients to a processes (flows) available in this database, based on the molar masse of the micronutrients.
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 33: Coke oven products; refined petroleum products; nuclear fuel / 333: Petroleum oils and oils obtained from bituminous materials, other than crude; preparations n.e.c. containing by weight 70% or more of these oils, such oils being the basic constituents of the preparations / 3336: Gas oil / 33360: Gas oil 5.26E-4 kg5.26E-4 kg 5.6718796671946025E-5 0.004878030145813163
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 The amount of diesel fuel (B12 mix in Brazil) used in agricultural operations not found in ecoinvent
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides / 3464: Mineral or chemical fertilizers containing at least two nutrients of nitrogen, phosphate and potash / 34643: Monoammonium phosphate 0.0286 kg0.0286 kg 0.003610744653812698 0.22653498888000584
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Product flow
3: Other transportable goods, except metal products, machinery and equipment / 34: Basic chemicals / 346: Fertilizers and pesticides / 3461: Mineral or chemical fertilizers, nitrogenous 2.4E-4 kg2.4E-4 kg 3.0299955136889772E-5 0.0019009929136783708
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Product flow
allocatable product 0.00176 kg0.00176 kg 2.2219967100385832E-4 0.013940614700308052
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 The amount of fertiliser was obtained from interviews with producers and experts. The nutrient content in the input was obtained from technical literature and technical regulation documents. The selection of the fertiliser from the ecoinvent database and its ammount was based on the commercial product.
Elementary flow
Land use / Land occupation 3.9 m2*a3.9 m2*a 0.47328778095803925 32.13689558858162
Comentário geral Uncertainty Comment: Pedigree: (3,1,1,1,1); Basic Variance: 1.11 The land occupation was calculated based on crop yield
Elementary flow
Resources / Resources from air / Renewable material resources from air 1.65 kg1.65 kg 0.20831219156611716 13.069326281538798
Comentário geral Uncertainty Comment: Pedigree: (2,2,1,1,1); Basic Variance: 1.07 Carbon dioxide (CO2) absorption from air during photosynthesis was also included, according to Nemecek and Schnetzer (2012). It considers the carbon content of the reference product based on the ecoinvent database (Jungbluth et al., 2007).
Elementary flow
Land use / Land transformation 0.195 m20.195 m2 0.024860764586295526 1.5295185257882715
Comentário geral Uncertainty Comment: Pedigree: (2,1,1,1,1); Basic Variance: 1.06 The LUC input comprises the actual data related to land transformation. This land transformation flow is irrelevant to LUC and the amounts are equal in both the 'land transformation from' and 'land transformation to'.
Elementary flow
Land use / Land transformation 0.195 m20.195 m2 0.024860764586295526 1.5295185257882715
Comentário geral Uncertainty Comment: Pedigree: (2,1,1,1,1); Basic Variance: 1.06 The LUC input comprises the actual data related to land transformation. This land transformation flow is irrelevant to LUC and the amounts are equal in both the 'land transformation from' and 'land transformation to'.

Saídas

Tipo de fluxo Classificação Fluxo Variável Valor médio Valor resultante Montante mínimo Montante máximo
Product flow
0: Agriculture, forestry and fishery products / 01: Products of agriculture, horticulture and market gardening / 016: Stimulant, spice and aromatic crops / 0161: Coffee, green / 01610: Coffee, green 1.0 kg1.0 kg
Comentário geral This dataset represents the production of 1 kg of green coffee beans (Arabic) in the South region in the state of Minas Gerais, which is composed of the coffee production region of South/Southwest. Planting and harvesting are manual activities while cultivation is predominantly mechanized. The period of 20 years was adopted as the average life span of a coffee plantation, from the cleaning of the land to the last year of the coffee plantation in production, before a new cleaning. In this study, it was assumed that the phases of implantation and formation of the coffee plantation last one year and two years, respectively. For the formation phase, the data collected correspond to the average of two years. The full production phase lasts 18 years. Grain production data were “annualized” (ie calculated for the reference of 1 hectare of coffee per year). Therefore, the input flows (natural resources, agricultural inputs and energy) and outflows (emissions to air, water and soil) of the initial phases were divided by 20. The input flows of the full production phase correspond to the average of two consecutive agricultural years, considering the behavior of the coffee plantation of alternating years of higher and lower production in succession. Mineral fertiliser input is 1534 kg ammonium sulphate/ha, 255 kg monoammonium phosphate/ha, 1026 kg potassium chloride/ha, 15 kg N (inorganic nitrogen fertiliser)/ha and 20 kg P2O5 (inorganic phosphorus fertiliser)/ha. Total active ingredients (a.i.) applied as pesticides amount to 5.9 kg a.i./ha. No manure is applied. The average productivity is 2564 kg/ha, at 10% moisture. Production Volume Comment: IBGE, 2020. Brazilian Institute of Geography and Statistic. Municipal Agricultural Production – PAM. Produção Agrícola Municipal [in Portuguese]. Available at: https://sidra.ibge.gov.br/home/ipp/brasil
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 8.93E-10 kg8.93E-10 kg 1.0754302962020828E-10 7.415162124558116E-9
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 6.06638668520687E-10 kg6.06638668520687E-10 kg 7.361216512052352E-11 4.999315989986394E-9
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 Emissions of heavy metals to surface water are calculated according to Schmidt (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 1.58E-11 kg1.58E-11 kg 1.7037205083968578E-12 1.4652638080579462E-10
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 1.93436847786153E-6 kg1.93436847786153E-6 kg -2.383273123194119 2.3832769919310746
Comentário geral Uncertainty Comment: Emissions of heavy metals to soil estimated based on WFLDB adapted to Brazil Pedigree: (5,5,5,5,5); Basic Variance: 1.21 Heavy metals emissions to agricultural soil through erosion are estimated by using the SALCA-heavy metal model (Nemecek et al., 2015).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.002320028 kg0.002320028 kg 2.8029818750659283E-4 0.01920287094491968
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,3); Basic Variance: 1.1 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007) plus emissions from burning coffee husks and from burning plant residues during coffee area renovation, according to IPCC (2019)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.21564 kg0.21564 kg 0.026003679387862126 1.788231923121823
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,1); Basic Variance: 1.11 Carbon dioxide releases from urea and limestone application, according to IPCC (2006) plus emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 2.63E-11 kg2.63E-11 kg 3.1672807155783626E-12 2.1838607376918079E-10
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.0042920647 kg0.0042920647 kg 4.684331420808151E-4 0.03932646462023372
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,3); Basic Variance: 1.21 Direct and indirect N2O emissions according to IPCC (2019) plus emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007) plus emissions from burning coffee husks and from burning plant residues during coffee area renovation according to IPCC (2019)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 7.03E-6 kg7.03E-6 kg 7.774611861852796E-7 6.356703187009303E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.21 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 7.81E-5 kg7.81E-5 kg 8.482371399229218E-6 7.190925406254039E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 5.26E-10 kg5.26E-10 kg 6.334561431156725E-11 4.367721475383616E-9
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil -9.66365652762002E-6 kg-9.66365652762002E-6 kg -2.383284721219124 2.3832653939060693
Comentário geral Uncertainty Comment: Emissions of heavy metals to soil estimated based on WFLDB adapted to Brazil Pedigree: (5,5,5,5,5); Basic Variance: 1.21 Heavy metals emissions to agricultural soil through erosion are estimated by using the SALCA-heavy metal model (Nemecek et al., 2015).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 5.26E-12 kg5.26E-12 kg 6.334561431156725E-13 4.3677214753836154E-11
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 4.04E-5 kg4.04E-5 kg 4.387807996528302E-6 3.7197616698164297E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 0.00173 kg0.00173 kg 1.8789375826717728E-4 0.015928682397976297
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.0055236 kg0.0055236 kg 6.673432684913355E-4 0.045718835268952936
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,3); Basic Variance: 1.1 Emissions of NOx from applied mineral fertilisers, according to WFLDB (2019) plus emissions from burning plant residues during coffee area renovation, according to IPCC (2019)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.0028600105 kg0.0028600105 kg 2.8485530421507347E-4 0.02871514042067612
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,3); Basic Variance: 1.32 Ammonia releases to air, according to the AGRAMMON model: 'Plant production' (Nemecek & Schnetzer, 2011)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 5.54541470695989E-6 kg5.54541470695989E-6 kg -2.3832695121478897 2.3832806029773037
Comentário geral Uncertainty Comment: Emissions of heavy metals to soil estimated based on WFLDB adapted to Brazil Pedigree: (5,5,5,5,5); Basic Variance: 1.21 Heavy metals emissions to agricultural soil through erosion are estimated by using the SALCA-heavy metal model (Nemecek et al., 2015).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 1.09E-5 kg1.09E-5 kg 1.2054519103015005E-6 9.856054728079858E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.21 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 2.73E-4 kg2.73E-4 kg 3.312700314160343E-5 0.002249796025357959
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 5.31E-7 kg5.31E-7 kg 6.455621257266346E-8 4.367681881625708E-6
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.1 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 7.34E-5 kg7.34E-5 kg 8.906674104738796E-6 6.048902134112606E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 Only the phosphorus emission to surface water caused by soil erosion was calculated, according to Nemecek et al., 2015. Required technical parameters are available in the BRCalc/ICVCalc tool (Folegatti-Matsuura et al., 2022).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 3.75E-5 kg3.75E-5 kg 4.072841580935924E-6 3.452749074705844E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 1.73E-9 kg1.73E-9 kg 1.8654661262826355E-10 1.6043711316077513E-8
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 0.0656 kg0.0656 kg 0.007910598070134278 0.5439993236727491
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,1); Basic Variance: 1.11 Emissions from burning plant residues during coffee area renovation, according to IPCC (2019)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 2.09E-4 kg2.09E-4 kg 2.5360965775073688E-5 0.0017223713161165324
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 3.75E-4 kg3.75E-4 kg 4.072841580935924E-5 0.0034527490747058446
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 2.05E-4 kg2.05E-4 kg 2.4955980564377583E-5 0.001683965087710755
Comentário geral Uncertainty Comment: Pedigree: (4,3,1,3,1); Basic Variance: 1.1 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 1.56E-6 kg1.56E-6 kg 1.7252339266700375E-7 1.410591318881154E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.21 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil -8.08050406176816E-9 kg-8.08050406176816E-9 kg -2.383275065643101 2.3832750494820925
Comentário geral Uncertainty Comment: Emissions of heavy metals to soil estimated based on WFLDB adapted to Brazil Pedigree: (5,5,5,5,5); Basic Variance: 1.21 Heavy metals emissions to agricultural soil through erosion are estimated by using the SALCA-heavy metal model (Nemecek et al., 2015).
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 0.209 kg0.209 kg 0.025360965775073685 1.7223713161165324
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 The SQCB-NO3 model was used according to Nemecek et al. (2015), considering only the quantity of water from precipitation (no irrigation was applied). Technical parameters are available in the BRCalc/ICVCalc tool (Folegatti-Matsuura et al., 2022).
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 1.08520211260734E-10 kg1.08520211260734E-10 kg 1.316831274491503E-11 8.943162636095433E-10
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 Emissions of heavy metals to surface water are calculated according to Schmidt (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 3.84E-9 kg3.84E-9 kg 4.624470702593503E-10 3.18860275008994E-8
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 7.03E-5 kg7.03E-5 kg 7.635220350394546E-6 6.472753598715223E-4
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 1.58E-6 kg1.58E-6 kg 1.9208816547044873E-7 1.2996115579978567E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.1 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 2.94E-8 kg2.94E-8 kg 3.5406103816731505E-9 2.44127398053761E-7
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 5.19668471896955E-12 kg5.19668471896955E-12 kg 5.6440729617156E-13 4.7847595613226976E-11
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.23 Emissions of heavy metals to surface water are calculated according to Schmidt (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 1.08509359239608E-6 kg1.08509359239608E-6 kg -2.3832739724690044 2.383276142656189
Comentário geral Uncertainty Comment: Emissions of heavy metals to soil estimated based on WFLDB adapted to Brazil Pedigree: (5,5,5,5,5); Basic Variance: 1.21 Heavy metals emissions to agricultural soil through erosion are estimated by using the SALCA-heavy metal model (Nemecek et al., 2015).
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 6.78E-8 kg6.78E-8 kg 8.165081084266653E-9 5.62987673062755E-7
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 2.01462614656518E-10 kg2.01462614656518E-10 kg 2.444634677158283E-11 1.660255639972367E-9
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 Emissions of heavy metals to surface water are calculated according to Schmidt (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 5.26E-12 kg5.26E-12 kg 5.671879667194602E-13 4.878030145813163E-11
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to soil / Emissions to agricultural soil 1.46E-6 kg1.46E-6 kg 1.6146420082937528E-7 1.3201687984400543E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.21 All the pesticides emissions were destinated to agricultural soil, according to Nemecek and Schnetzer (2012).
Elementary flow
Emissions / Emissions to water / Emissions to fresh water 5.44749712138954E-10 kg5.44749712138954E-10 kg 6.610229093558496E-11 4.489288414597475E-9
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,2,1); Basic Variance: 1.11 Emissions of heavy metals to surface water are calculated according to Schmidt (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 2.81E-6 kg2.81E-6 kg 3.384052779762433E-7 2.3333264916022738E-5
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.11 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)
Elementary flow
Emissions / Emissions to air / Emissions to non-urban air or from high stacks 3.68E-11 kg3.68E-11 kg 3.968159158797744E-12 3.4127663377552163E-10
Comentário geral Uncertainty Comment: Pedigree: (3,2,1,1,3); Basic Variance: 1.23 Emissions derived from fuel combustion (diesel 88%, and biodiesel 12%), using emission factors from Nemecek & Kagi (2007)