Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species
Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta...
Gespeichert in:
| Veröffentlicht in: | Canadian journal of forest research 1998-11, Vol.28 (11), p.1648-1659 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1659 |
|---|---|
| container_issue | 11 |
| container_start_page | 1648 |
| container_title | Canadian journal of forest research |
| container_volume | 28 |
| creator | Martin, J.G Kloeppel, B.D Schaefer, T.L Kimbler, D.L Mcnulty, S.G |
| description | Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta Hydrologic Laboratory in western North Carolina, U.S.A. These equations included the following dependent variables: stem wood mass, stem bark mass, branch mass, total wood mass, foliage mass, total biomass, foliage area, stem surface area, sapwood volume, and total tree volume. High correlation coefficients (R2) were observed for all variables versus stem diameter with the highest being for total tree biomass, which ranged from 0.981 for Oxydendrum arboreum to 0.999 for Quercus coccinea. Foliage area had the lowest R2 values, ranging from 0.555 for Quercus alba to 0.962 for Betula lenta. When all species were combined, correlation coefficients ranged from 0.822 for foliage area to 0.986 for total wood mass. total tree biomass, and total tree volume. Species with ring versus diffuse/semiring porous wood anatomy exhibited higher leaf area with a given cross-sectional sapwood area as well as lower total sapwood volume. Liriodendron tulipifera contained one of the highest foliar nitrogen concentrations and had consistently low branch, bark, sapwood, and heartwood nitrogen contents. For a tree diameter of 50 cm, Carya spp. exhibited the highest total nitrogen content whereas Liriodendron tulipifera exhibited the lowest. |
| doi_str_mv | 10.1139/x98-146 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_pasca</sourceid><recordid>TN_cdi_pascalfrancis_primary_1671172</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>38787195</sourcerecordid><originalsourceid>FETCH-LOGICAL-c284t-5cf2325542c866d0d409da1a154d0f6f0fca273e18f8c6cc3366429bcb5770313</originalsourceid><addsrcrecordid>eNp10F1LwzAYBeAgCs4p_gSDiIJQfZO0aXc5xC8QvNDdGt6lyVapSU1a0X9vxoZeiFcJ4eEccgg5ZHDBmJhcfk6qjOVyi4wYhyqTIMptMgLIi6wAWe6SvRhfAUBIASPyMp37D7MIfnA1nTf-DWOkmO6u6YNfGEexbb3GvvGOekv79FIb3dSDHyKNfuiXJjg67TpsUS8bdLQPxtDYJWTiPtmx2EZzsDnHZHZz_Xx1lz083t5fTR8yzau8zwptueBFkXNdSVlDncOkRoasyGuw0oLVyEthWGUrLbUWQsqcT-Z6XpQlCCbG5Hid2wX_PpjYq1c_BJcqFRdQcM4kT-hsjXTwMQZjVReaNwxfioFabafSdiptl-TJJg6jxtYGdLqJv1yWjJWrwNM1c0EHEw0GvfxBmyzV1TbB8__h3_KjNbboFS5CKp49cWACWF5W6TviG5l2kv4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>230522162</pqid></control><display><type>article</type><title>Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species</title><source>Alma/SFX Local Collection</source><creator>Martin, J.G ; Kloeppel, B.D ; Schaefer, T.L ; Kimbler, D.L ; Mcnulty, S.G</creator><creatorcontrib>Martin, J.G ; Kloeppel, B.D ; Schaefer, T.L ; Kimbler, D.L ; Mcnulty, S.G</creatorcontrib><description>Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta Hydrologic Laboratory in western North Carolina, U.S.A. These equations included the following dependent variables: stem wood mass, stem bark mass, branch mass, total wood mass, foliage mass, total biomass, foliage area, stem surface area, sapwood volume, and total tree volume. High correlation coefficients (R2) were observed for all variables versus stem diameter with the highest being for total tree biomass, which ranged from 0.981 for Oxydendrum arboreum to 0.999 for Quercus coccinea. Foliage area had the lowest R2 values, ranging from 0.555 for Quercus alba to 0.962 for Betula lenta. When all species were combined, correlation coefficients ranged from 0.822 for foliage area to 0.986 for total wood mass. total tree biomass, and total tree volume. Species with ring versus diffuse/semiring porous wood anatomy exhibited higher leaf area with a given cross-sectional sapwood area as well as lower total sapwood volume. Liriodendron tulipifera contained one of the highest foliar nitrogen concentrations and had consistently low branch, bark, sapwood, and heartwood nitrogen contents. For a tree diameter of 50 cm, Carya spp. exhibited the highest total nitrogen content whereas Liriodendron tulipifera exhibited the lowest.</description><identifier>ISSN: 0045-5067</identifier><identifier>EISSN: 1208-6037</identifier><identifier>DOI: 10.1139/x98-146</identifier><identifier>CODEN: CJFRAR</identifier><language>eng</language><publisher>Ottawa, Canada: NRC Research Press</publisher><subject>allometry ; Bark ; Biological and medical sciences ; Biomass ; branches ; Correlation coefficient ; Deciduous trees ; Dendrometry. Forest inventory ; diameter ; dry matter partitioning ; Economic importance ; Ecophysiology ; Ecosystems ; Foliage ; forest trees ; Forestry ; Fundamental and applied biological sciences. Psychology ; leaf area ; leaves ; Nitrogen ; Nitrogen & nitrogen compounds ; nitrogen content ; Plant species ; Regression analysis ; sapwood ; species differences ; Specific gravity ; stems ; surface area ; volume ; Wood</subject><ispartof>Canadian journal of forest research, 1998-11, Vol.28 (11), p.1648-1659</ispartof><rights>1999 INIST-CNRS</rights><rights>Copyright National Research Council of Canada Nov 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c284t-5cf2325542c866d0d409da1a154d0f6f0fca273e18f8c6cc3366429bcb5770313</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=1671172$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Martin, J.G</creatorcontrib><creatorcontrib>Kloeppel, B.D</creatorcontrib><creatorcontrib>Schaefer, T.L</creatorcontrib><creatorcontrib>Kimbler, D.L</creatorcontrib><creatorcontrib>Mcnulty, S.G</creatorcontrib><title>Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species</title><title>Canadian journal of forest research</title><addtitle>Revue canadienne de recherche forestière</addtitle><description>Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta Hydrologic Laboratory in western North Carolina, U.S.A. These equations included the following dependent variables: stem wood mass, stem bark mass, branch mass, total wood mass, foliage mass, total biomass, foliage area, stem surface area, sapwood volume, and total tree volume. High correlation coefficients (R2) were observed for all variables versus stem diameter with the highest being for total tree biomass, which ranged from 0.981 for Oxydendrum arboreum to 0.999 for Quercus coccinea. Foliage area had the lowest R2 values, ranging from 0.555 for Quercus alba to 0.962 for Betula lenta. When all species were combined, correlation coefficients ranged from 0.822 for foliage area to 0.986 for total wood mass. total tree biomass, and total tree volume. Species with ring versus diffuse/semiring porous wood anatomy exhibited higher leaf area with a given cross-sectional sapwood area as well as lower total sapwood volume. Liriodendron tulipifera contained one of the highest foliar nitrogen concentrations and had consistently low branch, bark, sapwood, and heartwood nitrogen contents. For a tree diameter of 50 cm, Carya spp. exhibited the highest total nitrogen content whereas Liriodendron tulipifera exhibited the lowest.</description><subject>allometry</subject><subject>Bark</subject><subject>Biological and medical sciences</subject><subject>Biomass</subject><subject>branches</subject><subject>Correlation coefficient</subject><subject>Deciduous trees</subject><subject>Dendrometry. Forest inventory</subject><subject>diameter</subject><subject>dry matter partitioning</subject><subject>Economic importance</subject><subject>Ecophysiology</subject><subject>Ecosystems</subject><subject>Foliage</subject><subject>forest trees</subject><subject>Forestry</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>leaf area</subject><subject>leaves</subject><subject>Nitrogen</subject><subject>Nitrogen & nitrogen compounds</subject><subject>nitrogen content</subject><subject>Plant species</subject><subject>Regression analysis</subject><subject>sapwood</subject><subject>species differences</subject><subject>Specific gravity</subject><subject>stems</subject><subject>surface area</subject><subject>volume</subject><subject>Wood</subject><issn>0045-5067</issn><issn>1208-6037</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp10F1LwzAYBeAgCs4p_gSDiIJQfZO0aXc5xC8QvNDdGt6lyVapSU1a0X9vxoZeiFcJ4eEccgg5ZHDBmJhcfk6qjOVyi4wYhyqTIMptMgLIi6wAWe6SvRhfAUBIASPyMp37D7MIfnA1nTf-DWOkmO6u6YNfGEexbb3GvvGOekv79FIb3dSDHyKNfuiXJjg67TpsUS8bdLQPxtDYJWTiPtmx2EZzsDnHZHZz_Xx1lz083t5fTR8yzau8zwptueBFkXNdSVlDncOkRoasyGuw0oLVyEthWGUrLbUWQsqcT-Z6XpQlCCbG5Hid2wX_PpjYq1c_BJcqFRdQcM4kT-hsjXTwMQZjVReaNwxfioFabafSdiptl-TJJg6jxtYGdLqJv1yWjJWrwNM1c0EHEw0GvfxBmyzV1TbB8__h3_KjNbboFS5CKp49cWACWF5W6TviG5l2kv4</recordid><startdate>19981101</startdate><enddate>19981101</enddate><creator>Martin, J.G</creator><creator>Kloeppel, B.D</creator><creator>Schaefer, T.L</creator><creator>Kimbler, D.L</creator><creator>Mcnulty, S.G</creator><general>NRC Research Press</general><general>National Research Council of Canada</general><general>Canadian Science Publishing NRC Research Press</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RQ</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FQ</scope><scope>8FV</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M0K</scope><scope>M2O</scope><scope>M2P</scope><scope>M3G</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>RC3</scope><scope>U9A</scope></search><sort><creationdate>19981101</creationdate><title>Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species</title><author>Martin, J.G ; Kloeppel, B.D ; Schaefer, T.L ; Kimbler, D.L ; Mcnulty, S.G</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c284t-5cf2325542c866d0d409da1a154d0f6f0fca273e18f8c6cc3366429bcb5770313</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>allometry</topic><topic>Bark</topic><topic>Biological and medical sciences</topic><topic>Biomass</topic><topic>branches</topic><topic>Correlation coefficient</topic><topic>Deciduous trees</topic><topic>Dendrometry. Forest inventory</topic><topic>diameter</topic><topic>dry matter partitioning</topic><topic>Economic importance</topic><topic>Ecophysiology</topic><topic>Ecosystems</topic><topic>Foliage</topic><topic>forest trees</topic><topic>Forestry</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>leaf area</topic><topic>leaves</topic><topic>Nitrogen</topic><topic>Nitrogen & nitrogen compounds</topic><topic>nitrogen content</topic><topic>Plant species</topic><topic>Regression analysis</topic><topic>sapwood</topic><topic>species differences</topic><topic>Specific gravity</topic><topic>stems</topic><topic>surface area</topic><topic>volume</topic><topic>Wood</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martin, J.G</creatorcontrib><creatorcontrib>Kloeppel, B.D</creatorcontrib><creatorcontrib>Schaefer, T.L</creatorcontrib><creatorcontrib>Kimbler, D.L</creatorcontrib><creatorcontrib>Mcnulty, S.G</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Career & Technical Education Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Canadian Business & Current Affairs Database</collection><collection>Canadian Business & Current Affairs Database (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</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>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Agricultural Science Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>CBCA Reference & Current Events</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic 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>Genetics Abstracts</collection><jtitle>Canadian journal of forest research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martin, J.G</au><au>Kloeppel, B.D</au><au>Schaefer, T.L</au><au>Kimbler, D.L</au><au>Mcnulty, S.G</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species</atitle><jtitle>Canadian journal of forest research</jtitle><addtitle>Revue canadienne de recherche forestière</addtitle><date>1998-11-01</date><risdate>1998</risdate><volume>28</volume><issue>11</issue><spage>1648</spage><epage>1659</epage><pages>1648-1659</pages><issn>0045-5067</issn><eissn>1208-6037</eissn><coden>CJFRAR</coden><abstract>Allometric equations were developed for mature trees of 10 deciduous species (Acer rubrum L., Betula lenta L., Carya spp., Cornus florida L., Liriodendron tulipifera L., Oxydendrum arboreum (L.) DC., Quercus alba L., Quercus coccinea Muenchh., Quercus prinus L., and Quercus rubra L.) at the Coweeta Hydrologic Laboratory in western North Carolina, U.S.A. These equations included the following dependent variables: stem wood mass, stem bark mass, branch mass, total wood mass, foliage mass, total biomass, foliage area, stem surface area, sapwood volume, and total tree volume. High correlation coefficients (R2) were observed for all variables versus stem diameter with the highest being for total tree biomass, which ranged from 0.981 for Oxydendrum arboreum to 0.999 for Quercus coccinea. Foliage area had the lowest R2 values, ranging from 0.555 for Quercus alba to 0.962 for Betula lenta. When all species were combined, correlation coefficients ranged from 0.822 for foliage area to 0.986 for total wood mass. total tree biomass, and total tree volume. Species with ring versus diffuse/semiring porous wood anatomy exhibited higher leaf area with a given cross-sectional sapwood area as well as lower total sapwood volume. Liriodendron tulipifera contained one of the highest foliar nitrogen concentrations and had consistently low branch, bark, sapwood, and heartwood nitrogen contents. For a tree diameter of 50 cm, Carya spp. exhibited the highest total nitrogen content whereas Liriodendron tulipifera exhibited the lowest.</abstract><cop>Ottawa, Canada</cop><pub>NRC Research Press</pub><doi>10.1139/x98-146</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0045-5067 |
| ispartof | Canadian journal of forest research, 1998-11, Vol.28 (11), p.1648-1659 |
| issn | 0045-5067 1208-6037 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_1671172 |
| source | Alma/SFX Local Collection |
| subjects | allometry Bark Biological and medical sciences Biomass branches Correlation coefficient Deciduous trees Dendrometry. Forest inventory diameter dry matter partitioning Economic importance Ecophysiology Ecosystems Foliage forest trees Forestry Fundamental and applied biological sciences. Psychology leaf area leaves Nitrogen Nitrogen & nitrogen compounds nitrogen content Plant species Regression analysis sapwood species differences Specific gravity stems surface area volume Wood |
| title | Aboveground biomass and nitrogen allocation of ten deciduous southern Appalachian tree species |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T06%3A22%3A46IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pasca&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Aboveground%20biomass%20and%20nitrogen%20allocation%20of%20ten%20deciduous%20southern%20Appalachian%20tree%20species&rft.jtitle=Canadian%20journal%20of%20forest%20research&rft.au=Martin,%20J.G&rft.date=1998-11-01&rft.volume=28&rft.issue=11&rft.spage=1648&rft.epage=1659&rft.pages=1648-1659&rft.issn=0045-5067&rft.eissn=1208-6037&rft.coden=CJFRAR&rft_id=info:doi/10.1139/x98-146&rft_dat=%3Cproquest_pasca%3E38787195%3C/proquest_pasca%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=230522162&rft_id=info:pmid/&rfr_iscdi=true |