Allometric equations to predict the total above-ground biomass of radiata pine trees
• Radiata pine ( Pinus radiata D. Don) is the main exotic plantation tree species grown in New Zealand for wood production and as such represents a significant component of the terrestrial carbon cycle. • Using data for 637 trees collected in 13 different studies, a series of equations was developed...
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Veröffentlicht in: | Annals of forest science. 2010, Vol.67 (8), p.806-806 |
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creator | Moore, John R. |
description | • Radiata pine (
Pinus radiata
D. Don) is the main exotic plantation tree species grown in New Zealand for wood production and as such represents a significant component of the terrestrial carbon cycle.
• Using data for 637 trees collected in 13 different studies, a series of equations was developed that enable the total above-ground biomass of individual radiata pine trees to be estimated from information about height and diameter. A mixed-effects modelling approach was used when fitting these equations in order to account for random fluctuations in model parameters between studies due to site and methodological differences. Linear models were fitted to logarithmically transformed data, while weighted linear and non-linear models were fitted to data on the original arithmetic scale.
• Based on a modified likelihood statistic (Furnival’s Index of Fit), models fitted to transformed data were found to perform slightly better than weighted models fitted to data on the original arithmetic scale; however, the latter do not require a means for correcting for the bias that occurs when estimates of biomass obtained from transformed models are back transformed to the original scale.
• Recommendations for further development of these models including additional data collection priorities are given. |
doi_str_mv | 10.1051/forest/2010042 |
format | Article |
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Pinus radiata
D. Don) is the main exotic plantation tree species grown in New Zealand for wood production and as such represents a significant component of the terrestrial carbon cycle.
• Using data for 637 trees collected in 13 different studies, a series of equations was developed that enable the total above-ground biomass of individual radiata pine trees to be estimated from information about height and diameter. A mixed-effects modelling approach was used when fitting these equations in order to account for random fluctuations in model parameters between studies due to site and methodological differences. Linear models were fitted to logarithmically transformed data, while weighted linear and non-linear models were fitted to data on the original arithmetic scale.
• Based on a modified likelihood statistic (Furnival’s Index of Fit), models fitted to transformed data were found to perform slightly better than weighted models fitted to data on the original arithmetic scale; however, the latter do not require a means for correcting for the bias that occurs when estimates of biomass obtained from transformed models are back transformed to the original scale.
• Recommendations for further development of these models including additional data collection priorities are given.</description><identifier>ISSN: 1286-4560</identifier><identifier>EISSN: 1297-966X</identifier><identifier>DOI: 10.1051/forest/2010042</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agricultural sciences ; Biological and medical sciences ; Biomedical and Life Sciences ; Environment ; Forestry ; Forestry Management ; Fundamental and applied biological sciences. Psychology ; Life Sciences ; Original Article ; Silviculture, forestry ; Tree Biology ; Wood Science & Technology</subject><ispartof>Annals of forest science., 2010, Vol.67 (8), p.806-806</ispartof><rights>Springer S+B Media B.V. 2010</rights><rights>2015 INIST-CNRS</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c383t-4dd98bbee6b2a2a7b76fe614c50c6a6fd76e88ed25626c40392f65b15cf1d823</citedby><cites>FETCH-LOGICAL-c383t-4dd98bbee6b2a2a7b76fe614c50c6a6fd76e88ed25626c40392f65b15cf1d823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1051/forest/2010042$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://doi.org/10.1051/forest/2010042$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41096,41464,42165,42533,51294,51551</link.rule.ids><linktorsrc>$$Uhttps://doi.org/10.1051/forest/2010042$$EView_record_in_Springer_Nature$$FView_record_in_$$GSpringer_Nature</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23623213$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-00883629$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Moore, John R.</creatorcontrib><title>Allometric equations to predict the total above-ground biomass of radiata pine trees</title><title>Annals of forest science.</title><addtitle>Ann. For. Sci</addtitle><description>• Radiata pine (
Pinus radiata
D. Don) is the main exotic plantation tree species grown in New Zealand for wood production and as such represents a significant component of the terrestrial carbon cycle.
• Using data for 637 trees collected in 13 different studies, a series of equations was developed that enable the total above-ground biomass of individual radiata pine trees to be estimated from information about height and diameter. A mixed-effects modelling approach was used when fitting these equations in order to account for random fluctuations in model parameters between studies due to site and methodological differences. Linear models were fitted to logarithmically transformed data, while weighted linear and non-linear models were fitted to data on the original arithmetic scale.
• Based on a modified likelihood statistic (Furnival’s Index of Fit), models fitted to transformed data were found to perform slightly better than weighted models fitted to data on the original arithmetic scale; however, the latter do not require a means for correcting for the bias that occurs when estimates of biomass obtained from transformed models are back transformed to the original scale.
• Recommendations for further development of these models including additional data collection priorities are given.</description><subject>Agricultural sciences</subject><subject>Biological and medical sciences</subject><subject>Biomedical and Life Sciences</subject><subject>Environment</subject><subject>Forestry</subject><subject>Forestry Management</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Life Sciences</subject><subject>Original Article</subject><subject>Silviculture, forestry</subject><subject>Tree Biology</subject><subject>Wood Science & Technology</subject><issn>1286-4560</issn><issn>1297-966X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp1kDtPwzAUhS0EEqWwMnthYEhrO4njjFUFFKkSSwc268axW1dpHGy3Ev8eV6m6Md3Xd450D0LPlMwoKencOK9DnDNCCSnYDZpQVldZzfn37bkXPCtKTu7RQwh7QtKioBO0WXSdO-jorcL65wjRuj7g6PDgdWtVxHGn0xihw9C4k8623h37FjfWHSAE7Az20FqIgAfbJ9RrHR7RnYEu6KdLnaLN-9tmucrWXx-fy8U6U7nIY1a0bS2aRmveMGBQNRU3mtNClURx4KatuBZCt6zkjKuC5DUzvGxoqQxtBcun6HW03UEnB28P4H-lAytXi7U87wgRIuesPtHEzkZWeReC1-YqoESe45NjfPISXxK8jIIBgoLOeOiVDVcVS745o3ni5iMX0qnfai_37uj79PZ_zn_kdYG-</recordid><startdate>2010</startdate><enddate>2010</enddate><creator>Moore, John R.</creator><general>Springer Netherlands</general><general>EDP Sciences</general><general>Springer Nature (since 2011)/EDP Science (until 2010)</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope></search><sort><creationdate>2010</creationdate><title>Allometric equations to predict the total above-ground biomass of radiata pine trees</title><author>Moore, John R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c383t-4dd98bbee6b2a2a7b76fe614c50c6a6fd76e88ed25626c40392f65b15cf1d823</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Agricultural sciences</topic><topic>Biological and medical sciences</topic><topic>Biomedical and Life Sciences</topic><topic>Environment</topic><topic>Forestry</topic><topic>Forestry Management</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Life Sciences</topic><topic>Original Article</topic><topic>Silviculture, forestry</topic><topic>Tree Biology</topic><topic>Wood Science & Technology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Moore, John R.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Annals of forest science.</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Moore, John R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Allometric equations to predict the total above-ground biomass of radiata pine trees</atitle><jtitle>Annals of forest science.</jtitle><stitle>Ann. For. Sci</stitle><date>2010</date><risdate>2010</risdate><volume>67</volume><issue>8</issue><spage>806</spage><epage>806</epage><pages>806-806</pages><issn>1286-4560</issn><eissn>1297-966X</eissn><abstract>• Radiata pine (
Pinus radiata
D. Don) is the main exotic plantation tree species grown in New Zealand for wood production and as such represents a significant component of the terrestrial carbon cycle.
• Using data for 637 trees collected in 13 different studies, a series of equations was developed that enable the total above-ground biomass of individual radiata pine trees to be estimated from information about height and diameter. A mixed-effects modelling approach was used when fitting these equations in order to account for random fluctuations in model parameters between studies due to site and methodological differences. Linear models were fitted to logarithmically transformed data, while weighted linear and non-linear models were fitted to data on the original arithmetic scale.
• Based on a modified likelihood statistic (Furnival’s Index of Fit), models fitted to transformed data were found to perform slightly better than weighted models fitted to data on the original arithmetic scale; however, the latter do not require a means for correcting for the bias that occurs when estimates of biomass obtained from transformed models are back transformed to the original scale.
• Recommendations for further development of these models including additional data collection priorities are given.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1051/forest/2010042</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural sciences Biological and medical sciences Biomedical and Life Sciences Environment Forestry Forestry Management Fundamental and applied biological sciences. Psychology Life Sciences Original Article Silviculture, forestry Tree Biology Wood Science & Technology |
title | Allometric equations to predict the total above-ground biomass of radiata pine trees |
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