Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing
Purpose Past life cycle assessments (LCA) of sugarcane ( Saccharum officinarum ) production have commonly been based on limited datasets, and variability has not been well described. In this work, Australian sugarcane production was assessed more comprehensively in order to generate a robust set of...
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Veröffentlicht in: | The international journal of life cycle assessment 2010-11, Vol.15 (9), p.927-937 |
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description | Purpose
Past life cycle assessments (LCA) of sugarcane (
Saccharum officinarum
) production have commonly been based on limited datasets, and variability has not been well described. In this work, Australian sugarcane production was assessed more comprehensively in order to generate a robust set of LCA results for use in subsequent assessments of sugarcane products and also to investigate: (1) variability due to regional differences, (2) factors influencing variability, and (3) significance of the impacts.
Methods
An average scenario for Australian sugarcane production was modeled based on data for the state of Queensland (98% of Australian production). Life cycle impact assessment (LCIA) results were generated using Impact 2002+, modified to be more representative of Australian conditions, and with the inclusion of water use and land use indicators. A Monte Carlo uncertainty analysis, using minimum and maximum values for production data, was undertaken to evaluate variability. Different regional production practices were also modeled to identify factors that influence variability. Normalization aimed to show the significance of total Australian sugarcane production relative to total Australian impacts.
Results and discussion
Considerable variability was found in the LCIA results, with the key variables being yield, N use efficiency, the susceptibility of soils to N leakage, irrigation (water and energy intensity), and pre-harvest burning. N leakage was found to be an important issue that influences a range of impact categories. When normalized against total national impacts, water use and land use appear to be the most significant impacts (based on simple indicators of consumption), followed by eutrophication potential, acidification potential, and respiratory impacts, whereas non-renewable energy input and global warming are less significant. The results suggest that toxicity impacts are insignificant; however, this may not be supported by other observations that link pesticide loss from sugarcane to toxicity concerns in receiving waters and is a subject for further research.
Conclusions and recommendations
The potential for significant variability in the impacts from sugarcane growing suggests a need for LCAs of sugarcane systems to consider ranges for key variables. The key variables and significant impacts identified in this work can guide data collection priorities for future assessment of sugarcane and possibly other Australian cropping systems. To |
doi_str_mv | 10.1007/s11367-010-0226-x |
format | Article |
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Past life cycle assessments (LCA) of sugarcane (
Saccharum officinarum
) production have commonly been based on limited datasets, and variability has not been well described. In this work, Australian sugarcane production was assessed more comprehensively in order to generate a robust set of LCA results for use in subsequent assessments of sugarcane products and also to investigate: (1) variability due to regional differences, (2) factors influencing variability, and (3) significance of the impacts.
Methods
An average scenario for Australian sugarcane production was modeled based on data for the state of Queensland (98% of Australian production). Life cycle impact assessment (LCIA) results were generated using Impact 2002+, modified to be more representative of Australian conditions, and with the inclusion of water use and land use indicators. A Monte Carlo uncertainty analysis, using minimum and maximum values for production data, was undertaken to evaluate variability. Different regional production practices were also modeled to identify factors that influence variability. Normalization aimed to show the significance of total Australian sugarcane production relative to total Australian impacts.
Results and discussion
Considerable variability was found in the LCIA results, with the key variables being yield, N use efficiency, the susceptibility of soils to N leakage, irrigation (water and energy intensity), and pre-harvest burning. N leakage was found to be an important issue that influences a range of impact categories. When normalized against total national impacts, water use and land use appear to be the most significant impacts (based on simple indicators of consumption), followed by eutrophication potential, acidification potential, and respiratory impacts, whereas non-renewable energy input and global warming are less significant. The results suggest that toxicity impacts are insignificant; however, this may not be supported by other observations that link pesticide loss from sugarcane to toxicity concerns in receiving waters and is a subject for further research.
Conclusions and recommendations
The potential for significant variability in the impacts from sugarcane growing suggests a need for LCAs of sugarcane systems to consider ranges for key variables. The key variables and significant impacts identified in this work can guide data collection priorities for future assessment of sugarcane and possibly other Australian cropping systems. To further develop LCA as a useful predictive tool for Australian agricultural systems, further development and testing of impact assessment models for eutrophication, toxicity, and land and water resource depletion appropriate for Australia and its subregions will be required.</description><identifier>ISSN: 0948-3349</identifier><identifier>EISSN: 1614-7502</identifier><identifier>DOI: 10.1007/s11367-010-0226-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Acidification ; Climate change ; Cropping systems ; Data collection ; Earth and Environmental Science ; Environment ; Environmental Chemistry ; Environmental Economics ; Environmental Engineering/Biotechnology ; Eutrophication ; Farming systems ; Food processing industry ; Global warming ; Irrigation water ; Land use ; Lca for Food Products ; Life cycle analysis ; Life cycles ; Pesticides ; Receiving waters ; Renewable energy ; Resource depletion ; Saccharum officinarum ; Sugarcane ; Toxicity ; Variability ; Water resources ; Water use</subject><ispartof>The international journal of life cycle assessment, 2010-11, Vol.15 (9), p.927-937</ispartof><rights>Springer-Verlag 2010</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c390t-44985d42654808881b7bb7a22d6586f0dca7f32006fba228d720ca3ce5e08ff83</citedby><cites>FETCH-LOGICAL-c390t-44985d42654808881b7bb7a22d6586f0dca7f32006fba228d720ca3ce5e08ff83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11367-010-0226-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11367-010-0226-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Renouf, Marguerite Anne</creatorcontrib><creatorcontrib>Wegener, Malcolm K.</creatorcontrib><creatorcontrib>Pagan, Robert J.</creatorcontrib><title>Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing</title><title>The international journal of life cycle assessment</title><addtitle>Int J Life Cycle Assess</addtitle><description>Purpose
Past life cycle assessments (LCA) of sugarcane (
Saccharum officinarum
) production have commonly been based on limited datasets, and variability has not been well described. In this work, Australian sugarcane production was assessed more comprehensively in order to generate a robust set of LCA results for use in subsequent assessments of sugarcane products and also to investigate: (1) variability due to regional differences, (2) factors influencing variability, and (3) significance of the impacts.
Methods
An average scenario for Australian sugarcane production was modeled based on data for the state of Queensland (98% of Australian production). Life cycle impact assessment (LCIA) results were generated using Impact 2002+, modified to be more representative of Australian conditions, and with the inclusion of water use and land use indicators. A Monte Carlo uncertainty analysis, using minimum and maximum values for production data, was undertaken to evaluate variability. Different regional production practices were also modeled to identify factors that influence variability. Normalization aimed to show the significance of total Australian sugarcane production relative to total Australian impacts.
Results and discussion
Considerable variability was found in the LCIA results, with the key variables being yield, N use efficiency, the susceptibility of soils to N leakage, irrigation (water and energy intensity), and pre-harvest burning. N leakage was found to be an important issue that influences a range of impact categories. When normalized against total national impacts, water use and land use appear to be the most significant impacts (based on simple indicators of consumption), followed by eutrophication potential, acidification potential, and respiratory impacts, whereas non-renewable energy input and global warming are less significant. The results suggest that toxicity impacts are insignificant; however, this may not be supported by other observations that link pesticide loss from sugarcane to toxicity concerns in receiving waters and is a subject for further research.
Conclusions and recommendations
The potential for significant variability in the impacts from sugarcane growing suggests a need for LCAs of sugarcane systems to consider ranges for key variables. The key variables and significant impacts identified in this work can guide data collection priorities for future assessment of sugarcane and possibly other Australian cropping systems. To further develop LCA as a useful predictive tool for Australian agricultural systems, further development and testing of impact assessment models for eutrophication, toxicity, and land and water resource depletion appropriate for Australia and its subregions will be required.</description><subject>Acidification</subject><subject>Climate change</subject><subject>Cropping systems</subject><subject>Data collection</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Chemistry</subject><subject>Environmental Economics</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Eutrophication</subject><subject>Farming systems</subject><subject>Food processing industry</subject><subject>Global warming</subject><subject>Irrigation water</subject><subject>Land use</subject><subject>Lca for Food Products</subject><subject>Life cycle analysis</subject><subject>Life cycles</subject><subject>Pesticides</subject><subject>Receiving waters</subject><subject>Renewable energy</subject><subject>Resource depletion</subject><subject>Saccharum officinarum</subject><subject>Sugarcane</subject><subject>Toxicity</subject><subject>Variability</subject><subject>Water resources</subject><subject>Water use</subject><issn>0948-3349</issn><issn>1614-7502</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kEtLAzEUhYMoWB8_wF1w42r0JjOTZJal-IKCG924CZlMUqdMJzV3hrb_3pQKiuDqwuU7h8NHyBWDWwYg75CxXMgMGGTAuci2R2TCBCsyWQI_JhOoCpXleVGdkjPEJQBnUJUT8j5vvaN2ZztHDaJDXLl-oMHT6YhDNF1reorjwkRrekfXMTSjHdrQ0007fFBDfbAj0vAbWsSwafvFBTnxpkN3-X3PydvD_evsKZu_PD7PpvPM5hUMWVFUqmwKLspCgVKK1bKupeG8EaUSHhprpM85gPB1-qpGcrAmt650oLxX-Tm5OfSmcZ-jw0GvWrSu69KWMKJWpZASZFEl8voPuQxj7NM4rUBwJpWCBLEDZGNAjM7rdWxXJu40A713rQ-udXKt9671NmX4IYOJ7Rcu_hT_H_oCBJOCJg</recordid><startdate>20101101</startdate><enddate>20101101</enddate><creator>Renouf, Marguerite Anne</creator><creator>Wegener, Malcolm K.</creator><creator>Pagan, Robert J.</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><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>AEUYN</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><scope>7U6</scope></search><sort><creationdate>20101101</creationdate><title>Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing</title><author>Renouf, Marguerite Anne ; Wegener, Malcolm K. ; Pagan, Robert J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c390t-44985d42654808881b7bb7a22d6586f0dca7f32006fba228d720ca3ce5e08ff83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acidification</topic><topic>Climate change</topic><topic>Cropping systems</topic><topic>Data collection</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental Chemistry</topic><topic>Environmental Economics</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Eutrophication</topic><topic>Farming systems</topic><topic>Food processing industry</topic><topic>Global warming</topic><topic>Irrigation water</topic><topic>Land use</topic><topic>Lca for Food Products</topic><topic>Life cycle analysis</topic><topic>Life cycles</topic><topic>Pesticides</topic><topic>Receiving waters</topic><topic>Renewable energy</topic><topic>Resource depletion</topic><topic>Saccharum officinarum</topic><topic>Sugarcane</topic><topic>Toxicity</topic><topic>Variability</topic><topic>Water resources</topic><topic>Water use</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Renouf, Marguerite Anne</creatorcontrib><creatorcontrib>Wegener, Malcolm K.</creatorcontrib><creatorcontrib>Pagan, Robert J.</creatorcontrib><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 One Sustainability</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><collection>Sustainability Science Abstracts</collection><jtitle>The international journal of life cycle assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Renouf, Marguerite Anne</au><au>Wegener, Malcolm K.</au><au>Pagan, Robert J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing</atitle><jtitle>The international journal of life cycle assessment</jtitle><stitle>Int J Life Cycle Assess</stitle><date>2010-11-01</date><risdate>2010</risdate><volume>15</volume><issue>9</issue><spage>927</spage><epage>937</epage><pages>927-937</pages><issn>0948-3349</issn><eissn>1614-7502</eissn><abstract>Purpose
Past life cycle assessments (LCA) of sugarcane (
Saccharum officinarum
) production have commonly been based on limited datasets, and variability has not been well described. In this work, Australian sugarcane production was assessed more comprehensively in order to generate a robust set of LCA results for use in subsequent assessments of sugarcane products and also to investigate: (1) variability due to regional differences, (2) factors influencing variability, and (3) significance of the impacts.
Methods
An average scenario for Australian sugarcane production was modeled based on data for the state of Queensland (98% of Australian production). Life cycle impact assessment (LCIA) results were generated using Impact 2002+, modified to be more representative of Australian conditions, and with the inclusion of water use and land use indicators. A Monte Carlo uncertainty analysis, using minimum and maximum values for production data, was undertaken to evaluate variability. Different regional production practices were also modeled to identify factors that influence variability. Normalization aimed to show the significance of total Australian sugarcane production relative to total Australian impacts.
Results and discussion
Considerable variability was found in the LCIA results, with the key variables being yield, N use efficiency, the susceptibility of soils to N leakage, irrigation (water and energy intensity), and pre-harvest burning. N leakage was found to be an important issue that influences a range of impact categories. When normalized against total national impacts, water use and land use appear to be the most significant impacts (based on simple indicators of consumption), followed by eutrophication potential, acidification potential, and respiratory impacts, whereas non-renewable energy input and global warming are less significant. The results suggest that toxicity impacts are insignificant; however, this may not be supported by other observations that link pesticide loss from sugarcane to toxicity concerns in receiving waters and is a subject for further research.
Conclusions and recommendations
The potential for significant variability in the impacts from sugarcane growing suggests a need for LCAs of sugarcane systems to consider ranges for key variables. The key variables and significant impacts identified in this work can guide data collection priorities for future assessment of sugarcane and possibly other Australian cropping systems. To further develop LCA as a useful predictive tool for Australian agricultural systems, further development and testing of impact assessment models for eutrophication, toxicity, and land and water resource depletion appropriate for Australia and its subregions will be required.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><doi>10.1007/s11367-010-0226-x</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Acidification Climate change Cropping systems Data collection Earth and Environmental Science Environment Environmental Chemistry Environmental Economics Environmental Engineering/Biotechnology Eutrophication Farming systems Food processing industry Global warming Irrigation water Land use Lca for Food Products Life cycle analysis Life cycles Pesticides Receiving waters Renewable energy Resource depletion Saccharum officinarum Sugarcane Toxicity Variability Water resources Water use |
title | Life cycle assessment of Australian sugarcane production with a focus on sugarcane growing |
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