Reducing the carbon and water footprints of Brazilian green coconut
Purpose The assessment of the carbon and water footprints of agricultural products is important for fruit producers because it enables improvements in environmental management along the production chain as well as the opening of new markets. This study analyses the carbon and water footprints of gre...
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Veröffentlicht in: | The international journal of life cycle assessment 2021-04, Vol.26 (4), p.707-723 |
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creator | Sampaio, Ana Paula C. Silva, Anne Karolyne P. de Amorim, Júlio R. A. Santiago, Antônio D. de Miranda, Fábio R. Barros, Viviane S. Sales, Marta Celina L. de Figueirêdo, Maria Cléa B. |
description | Purpose
The assessment of the carbon and water footprints of agricultural products is important for fruit producers because it enables improvements in environmental management along the production chain as well as the opening of new markets. This study analyses the carbon and water footprints of green coconut produced in seven farms located at the main producing States in Brazil (Ceará, Alagoas, Sergipe and Bahia), investigating opportunities for reducing these footprints.
Methods
The carbon footprint was calculated based on ISO 14067 and the water footprint, on ISO 14046. Primary data were collected from orchards with dwarf coconut trees, located in the states of Ceará (CE1, CE2, CE3 and CE4 farms), Alagoas (AL farm), Sergipe (SE farm) and Bahia (BA farm). The impact categories considered and their assessment models were as follows: (i) for the carbon footprint, climate change impact was assessed (ILCD midpoint); (ii) for the water footprint, water scarcity (AWARE), human toxicity, cancer, non-cancer, and freshwater ecotoxicity and marine and freshwater eutrophication (ILCD midpoint) were assessed. Sensitivity analysis was performed for variations in emissions from land use change (LUC) and water scarcity characterization factors. Uncertainty analysis was applied to identify best performing farms and their practices.
Results and discussion
The farms that resulted in lower footprints (AL and CE4) caused less carbon losses in LUC and used less nitrogen fertilizers and irrigation water. LUC emissions answered for one third of coconut carbon footprint when orchards were installed in areas with Caatinga vegetation. However, if coconut orchards replaced annual crops, carbon footprint may reduce up to 61%. Regarding water scarcity, in the case of applying monthly AWARE factors, the impact increased as much as 95% in relation to impacts calculated using annual factors. The use of regionalized annual or monthly AWARE factors increased impact up to 97% in relation to when annual and monthly AWARE were used.
Conclusions
The analysis of alternatives for footprint reduction showed that both footprints can be reduced in all regions with changes in orchard lifespan, irrigation and fertilization. Increasing the useful life of the orchard results in a reduction of up to 38% in footprints, adjusting irrigation, up to 49%, and the amount of fertilizer, up to 70% of the carbon footprint and up to 82% of water footprint profile. Regionalized factors were more accurate for ide |
doi_str_mv | 10.1007/s11367-021-01871-8 |
format | Article |
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The assessment of the carbon and water footprints of agricultural products is important for fruit producers because it enables improvements in environmental management along the production chain as well as the opening of new markets. This study analyses the carbon and water footprints of green coconut produced in seven farms located at the main producing States in Brazil (Ceará, Alagoas, Sergipe and Bahia), investigating opportunities for reducing these footprints.
Methods
The carbon footprint was calculated based on ISO 14067 and the water footprint, on ISO 14046. Primary data were collected from orchards with dwarf coconut trees, located in the states of Ceará (CE1, CE2, CE3 and CE4 farms), Alagoas (AL farm), Sergipe (SE farm) and Bahia (BA farm). The impact categories considered and their assessment models were as follows: (i) for the carbon footprint, climate change impact was assessed (ILCD midpoint); (ii) for the water footprint, water scarcity (AWARE), human toxicity, cancer, non-cancer, and freshwater ecotoxicity and marine and freshwater eutrophication (ILCD midpoint) were assessed. Sensitivity analysis was performed for variations in emissions from land use change (LUC) and water scarcity characterization factors. Uncertainty analysis was applied to identify best performing farms and their practices.
Results and discussion
The farms that resulted in lower footprints (AL and CE4) caused less carbon losses in LUC and used less nitrogen fertilizers and irrigation water. LUC emissions answered for one third of coconut carbon footprint when orchards were installed in areas with Caatinga vegetation. However, if coconut orchards replaced annual crops, carbon footprint may reduce up to 61%. Regarding water scarcity, in the case of applying monthly AWARE factors, the impact increased as much as 95% in relation to impacts calculated using annual factors. The use of regionalized annual or monthly AWARE factors increased impact up to 97% in relation to when annual and monthly AWARE were used.
Conclusions
The analysis of alternatives for footprint reduction showed that both footprints can be reduced in all regions with changes in orchard lifespan, irrigation and fertilization. Increasing the useful life of the orchard results in a reduction of up to 38% in footprints, adjusting irrigation, up to 49%, and the amount of fertilizer, up to 70% of the carbon footprint and up to 82% of water footprint profile. Regionalized factors were more accurate for identifying critical watersheds for coconut production.</description><identifier>ISSN: 0948-3349</identifier><identifier>EISSN: 1614-7502</identifier><identifier>DOI: 10.1007/s11367-021-01871-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural products ; Agriculture ; Cancer ; Carbon ; Carbon footprint ; Climate change ; Climate models ; Earth and Environmental Science ; Emissions ; Engineering ; Engineering, Environmental ; Environment ; Environmental Chemistry ; Environmental Economics ; Environmental Engineering/Biotechnology ; Environmental impact ; Environmental management ; Environmental Sciences ; Environmental Sciences & Ecology ; Eutrophication ; Farms ; Fertilization ; Fertilizers ; Footprint analysis ; Irrigation ; Irrigation water ; Land use ; Life Sciences & Biomedicine ; Life span ; Mathematical analysis ; Orchards ; Reduction ; Regional Topics from Latin America ; Science & Technology ; Sensitivity analysis ; Technology ; Toxicity ; Uncertainty analysis ; Water consumption ; Water scarcity ; Watersheds</subject><ispartof>The international journal of life cycle assessment, 2021-04, Vol.26 (4), p.707-723</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>6</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000620102800001</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c372t-465ce2e5281f95be3c210f5c442ff261530021f479e7c8b40ff8427d151d05863</citedby><cites>FETCH-LOGICAL-c372t-465ce2e5281f95be3c210f5c442ff261530021f479e7c8b40ff8427d151d05863</cites><orcidid>0000-0002-9343-0370</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11367-021-01871-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11367-021-01871-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,39263,41493,42562,51324</link.rule.ids></links><search><creatorcontrib>Sampaio, Ana Paula C.</creatorcontrib><creatorcontrib>Silva, Anne Karolyne P.</creatorcontrib><creatorcontrib>de Amorim, Júlio R. A.</creatorcontrib><creatorcontrib>Santiago, Antônio D.</creatorcontrib><creatorcontrib>de Miranda, Fábio R.</creatorcontrib><creatorcontrib>Barros, Viviane S.</creatorcontrib><creatorcontrib>Sales, Marta Celina L.</creatorcontrib><creatorcontrib>de Figueirêdo, Maria Cléa B.</creatorcontrib><title>Reducing the carbon and water footprints of Brazilian green coconut</title><title>The international journal of life cycle assessment</title><addtitle>Int J Life Cycle Assess</addtitle><addtitle>INT J LIFE CYCLE ASS</addtitle><description>Purpose
The assessment of the carbon and water footprints of agricultural products is important for fruit producers because it enables improvements in environmental management along the production chain as well as the opening of new markets. This study analyses the carbon and water footprints of green coconut produced in seven farms located at the main producing States in Brazil (Ceará, Alagoas, Sergipe and Bahia), investigating opportunities for reducing these footprints.
Methods
The carbon footprint was calculated based on ISO 14067 and the water footprint, on ISO 14046. Primary data were collected from orchards with dwarf coconut trees, located in the states of Ceará (CE1, CE2, CE3 and CE4 farms), Alagoas (AL farm), Sergipe (SE farm) and Bahia (BA farm). The impact categories considered and their assessment models were as follows: (i) for the carbon footprint, climate change impact was assessed (ILCD midpoint); (ii) for the water footprint, water scarcity (AWARE), human toxicity, cancer, non-cancer, and freshwater ecotoxicity and marine and freshwater eutrophication (ILCD midpoint) were assessed. Sensitivity analysis was performed for variations in emissions from land use change (LUC) and water scarcity characterization factors. Uncertainty analysis was applied to identify best performing farms and their practices.
Results and discussion
The farms that resulted in lower footprints (AL and CE4) caused less carbon losses in LUC and used less nitrogen fertilizers and irrigation water. LUC emissions answered for one third of coconut carbon footprint when orchards were installed in areas with Caatinga vegetation. However, if coconut orchards replaced annual crops, carbon footprint may reduce up to 61%. Regarding water scarcity, in the case of applying monthly AWARE factors, the impact increased as much as 95% in relation to impacts calculated using annual factors. The use of regionalized annual or monthly AWARE factors increased impact up to 97% in relation to when annual and monthly AWARE were used.
Conclusions
The analysis of alternatives for footprint reduction showed that both footprints can be reduced in all regions with changes in orchard lifespan, irrigation and fertilization. Increasing the useful life of the orchard results in a reduction of up to 38% in footprints, adjusting irrigation, up to 49%, and the amount of fertilizer, up to 70% of the carbon footprint and up to 82% of water footprint profile. Regionalized factors were more accurate for identifying critical watersheds for coconut production.</description><subject>Agricultural products</subject><subject>Agriculture</subject><subject>Cancer</subject><subject>Carbon</subject><subject>Carbon footprint</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Earth and Environmental Science</subject><subject>Emissions</subject><subject>Engineering</subject><subject>Engineering, Environmental</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Economics</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Environmental impact</subject><subject>Environmental management</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Eutrophication</subject><subject>Farms</subject><subject>Fertilization</subject><subject>Fertilizers</subject><subject>Footprint analysis</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Land use</subject><subject>Life Sciences & Biomedicine</subject><subject>Life span</subject><subject>Mathematical analysis</subject><subject>Orchards</subject><subject>Reduction</subject><subject>Regional Topics from Latin America</subject><subject>Science & Technology</subject><subject>Sensitivity analysis</subject><subject>Technology</subject><subject>Toxicity</subject><subject>Uncertainty analysis</subject><subject>Water consumption</subject><subject>Water scarcity</subject><subject>Watersheds</subject><issn>0948-3349</issn><issn>1614-7502</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkE1LxDAQhoMouH78AU8Bj1KdSZMmPWrxCwRB9By62WTtookmKaK_3qwVvYmn5PA8M--8hBwgHCOAPEmIdSMrYFgBKomV2iAzbJBXUgDbJDNouarqmrfbZCelFRQSWjEj3Z1djGbwS5ofLTV9nAdPe7-gb322kboQ8kscfE40OHoW-4_haeg9XUZrPTXBBD_mPbLl-qdk97_fXfJwcX7fXVU3t5fX3elNZWrJcsUbYSyzgil0rZjb2pQMThjOmXOsQVGvUzkuWyuNmnNwTnEmFyhwAUI19S45nOa-xPA62pT1KozRl5WaCRRcNZKJQrGJMjGkFK3T5YDnPr5rBL0uS09l6bJMf5WlVZGOJunNzoNLZrDe2B8RABoGCEyVH2Ch1f_pbsh9HoLvwuhzUetJTetalzb-3vBHvE-Q-oug</recordid><startdate>20210401</startdate><enddate>20210401</enddate><creator>Sampaio, Ana Paula C.</creator><creator>Silva, Anne Karolyne P.</creator><creator>de Amorim, Júlio R. A.</creator><creator>Santiago, Antônio D.</creator><creator>de Miranda, Fábio R.</creator><creator>Barros, Viviane S.</creator><creator>Sales, Marta Celina L.</creator><creator>de Figueirêdo, Maria Cléa B.</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature</general><general>Springer Nature B.V</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TB</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>KR7</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-9343-0370</orcidid></search><sort><creationdate>20210401</creationdate><title>Reducing the carbon and water footprints of Brazilian green coconut</title><author>Sampaio, Ana Paula C. ; Silva, Anne Karolyne P. ; de Amorim, Júlio R. A. ; Santiago, Antônio D. ; de Miranda, Fábio R. ; Barros, Viviane S. ; Sales, Marta Celina L. ; de Figueirêdo, Maria Cléa B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-465ce2e5281f95be3c210f5c442ff261530021f479e7c8b40ff8427d151d05863</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Agricultural products</topic><topic>Agriculture</topic><topic>Cancer</topic><topic>Carbon</topic><topic>Carbon footprint</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Earth and Environmental Science</topic><topic>Emissions</topic><topic>Engineering</topic><topic>Engineering, Environmental</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Economics</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Environmental impact</topic><topic>Environmental management</topic><topic>Environmental Sciences</topic><topic>Environmental Sciences & Ecology</topic><topic>Eutrophication</topic><topic>Farms</topic><topic>Fertilization</topic><topic>Fertilizers</topic><topic>Footprint analysis</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Land use</topic><topic>Life Sciences & Biomedicine</topic><topic>Life span</topic><topic>Mathematical analysis</topic><topic>Orchards</topic><topic>Reduction</topic><topic>Regional Topics from Latin America</topic><topic>Science & Technology</topic><topic>Sensitivity analysis</topic><topic>Technology</topic><topic>Toxicity</topic><topic>Uncertainty analysis</topic><topic>Water consumption</topic><topic>Water scarcity</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sampaio, Ana Paula C.</creatorcontrib><creatorcontrib>Silva, Anne Karolyne P.</creatorcontrib><creatorcontrib>de Amorim, Júlio R. A.</creatorcontrib><creatorcontrib>Santiago, Antônio D.</creatorcontrib><creatorcontrib>de Miranda, Fábio R.</creatorcontrib><creatorcontrib>Barros, Viviane S.</creatorcontrib><creatorcontrib>Sales, Marta Celina L.</creatorcontrib><creatorcontrib>de Figueirêdo, Maria Cléa B.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>The international journal of life cycle assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sampaio, Ana Paula C.</au><au>Silva, Anne Karolyne P.</au><au>de Amorim, Júlio R. A.</au><au>Santiago, Antônio D.</au><au>de Miranda, Fábio R.</au><au>Barros, Viviane S.</au><au>Sales, Marta Celina L.</au><au>de Figueirêdo, Maria Cléa B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reducing the carbon and water footprints of Brazilian green coconut</atitle><jtitle>The international journal of life cycle assessment</jtitle><stitle>Int J Life Cycle Assess</stitle><stitle>INT J LIFE CYCLE ASS</stitle><date>2021-04-01</date><risdate>2021</risdate><volume>26</volume><issue>4</issue><spage>707</spage><epage>723</epage><pages>707-723</pages><issn>0948-3349</issn><eissn>1614-7502</eissn><abstract>Purpose
The assessment of the carbon and water footprints of agricultural products is important for fruit producers because it enables improvements in environmental management along the production chain as well as the opening of new markets. This study analyses the carbon and water footprints of green coconut produced in seven farms located at the main producing States in Brazil (Ceará, Alagoas, Sergipe and Bahia), investigating opportunities for reducing these footprints.
Methods
The carbon footprint was calculated based on ISO 14067 and the water footprint, on ISO 14046. Primary data were collected from orchards with dwarf coconut trees, located in the states of Ceará (CE1, CE2, CE3 and CE4 farms), Alagoas (AL farm), Sergipe (SE farm) and Bahia (BA farm). The impact categories considered and their assessment models were as follows: (i) for the carbon footprint, climate change impact was assessed (ILCD midpoint); (ii) for the water footprint, water scarcity (AWARE), human toxicity, cancer, non-cancer, and freshwater ecotoxicity and marine and freshwater eutrophication (ILCD midpoint) were assessed. Sensitivity analysis was performed for variations in emissions from land use change (LUC) and water scarcity characterization factors. Uncertainty analysis was applied to identify best performing farms and their practices.
Results and discussion
The farms that resulted in lower footprints (AL and CE4) caused less carbon losses in LUC and used less nitrogen fertilizers and irrigation water. LUC emissions answered for one third of coconut carbon footprint when orchards were installed in areas with Caatinga vegetation. However, if coconut orchards replaced annual crops, carbon footprint may reduce up to 61%. Regarding water scarcity, in the case of applying monthly AWARE factors, the impact increased as much as 95% in relation to impacts calculated using annual factors. The use of regionalized annual or monthly AWARE factors increased impact up to 97% in relation to when annual and monthly AWARE were used.
Conclusions
The analysis of alternatives for footprint reduction showed that both footprints can be reduced in all regions with changes in orchard lifespan, irrigation and fertilization. Increasing the useful life of the orchard results in a reduction of up to 38% in footprints, adjusting irrigation, up to 49%, and the amount of fertilizer, up to 70% of the carbon footprint and up to 82% of water footprint profile. Regionalized factors were more accurate for identifying critical watersheds for coconut production.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11367-021-01871-8</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0002-9343-0370</orcidid></addata></record> |
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subjects | Agricultural products Agriculture Cancer Carbon Carbon footprint Climate change Climate models Earth and Environmental Science Emissions Engineering Engineering, Environmental Environment Environmental Chemistry Environmental Economics Environmental Engineering/Biotechnology Environmental impact Environmental management Environmental Sciences Environmental Sciences & Ecology Eutrophication Farms Fertilization Fertilizers Footprint analysis Irrigation Irrigation water Land use Life Sciences & Biomedicine Life span Mathematical analysis Orchards Reduction Regional Topics from Latin America Science & Technology Sensitivity analysis Technology Toxicity Uncertainty analysis Water consumption Water scarcity Watersheds |
title | Reducing the carbon and water footprints of Brazilian green coconut |
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