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A practical method for mapping trees using distance measurements
Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "...
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Published in: | Ecology (Durham) 1998-04, Vol.79 (3), p.819-827 |
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description | Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1000 trees and after 10 000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available. |
doi_str_mv | 10.1890/0012-9658(1998)079[0819:APMFMT]2.0.CO;2 |
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An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1000 trees and after 10 000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available.</description><identifier>ISSN: 0012-9658</identifier><identifier>EISSN: 1939-9170</identifier><identifier>DOI: 10.1890/0012-9658(1998)079[0819:APMFMT]2.0.CO;2</identifier><identifier>CODEN: ECGYAQ</identifier><language>eng</language><publisher>Washington, DC: Ecological Society of America</publisher><subject>Absolute value ; Animal, plant and microbial ecology ; APLICACIONES DEL ORDENADOR ; APPLICATION DES ORDINATEURS ; ARBOLES ; ARBRE ; Arithmetic mean ; Biological and medical sciences ; CARTOGRAFIA ; CARTOGRAPHIE ; CARTOGRAPHY ; COMPUTER APPLICATIONS ; COMPUTER SIMULATION ; Coordinate systems ; Dendrometry. Forest inventory ; distance measurements ; Ecological research ; Electronic distance measuring instruments ; Elevation angle ; error accumulation ; error correction ; Error rates ; Forest ecology ; Forestry ; Forests ; Fundamental and applied biological sciences. Psychology ; General aspects. Techniques ; interpoint distances ; INTERPOINT METHOD ; Mapping ; MEASUREMENT ; MEDICION ; MESURE ; METHODE ; METHODOLOGY ; METHODS ; METODOS ; Plant ecology ; PROCEDIMIENTO DE LA ENCUESTA ; RELEVE (DES DONNEES) ; SIMULACION ; SIMULATION ; simulation model ; spatial pattern ; stand mapping ; Standard deviation ; SURVEYING ; Surveys ; Teledetection and vegetation maps ; TREE LOCATION ; tree mapping ; TREES ; triangulation</subject><ispartof>Ecology (Durham), 1998-04, Vol.79 (3), p.819-827</ispartof><rights>Copyright 1998 Ecological Society of America</rights><rights>1998 by the Ecological Society of America</rights><rights>1998 INIST-CNRS</rights><rights>COPYRIGHT 1998 Ecological Society of America</rights><rights>Copyright Ecological Society of America Apr 1998</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4899-a1458c8a66f326da7d5232311e9a4cadd1f306942f1329f636b7eb50f207282c3</citedby><cites>FETCH-LOGICAL-c4899-a1458c8a66f326da7d5232311e9a4cadd1f306942f1329f636b7eb50f207282c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/176581$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/176581$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27922,27923,58236,58469</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2308649$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Boose, Emery R.</creatorcontrib><creatorcontrib>Boose, Emery F.</creatorcontrib><creatorcontrib>Lezberg, Ann L.</creatorcontrib><title>A practical method for mapping trees using distance measurements</title><title>Ecology (Durham)</title><description>Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1000 trees and after 10 000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available.</description><subject>Absolute value</subject><subject>Animal, plant and microbial ecology</subject><subject>APLICACIONES DEL ORDENADOR</subject><subject>APPLICATION DES ORDINATEURS</subject><subject>ARBOLES</subject><subject>ARBRE</subject><subject>Arithmetic mean</subject><subject>Biological and medical sciences</subject><subject>CARTOGRAFIA</subject><subject>CARTOGRAPHIE</subject><subject>CARTOGRAPHY</subject><subject>COMPUTER APPLICATIONS</subject><subject>COMPUTER SIMULATION</subject><subject>Coordinate systems</subject><subject>Dendrometry. Forest inventory</subject><subject>distance measurements</subject><subject>Ecological research</subject><subject>Electronic distance measuring instruments</subject><subject>Elevation angle</subject><subject>error accumulation</subject><subject>error correction</subject><subject>Error rates</subject><subject>Forest ecology</subject><subject>Forestry</subject><subject>Forests</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>General aspects. Techniques</subject><subject>interpoint distances</subject><subject>INTERPOINT METHOD</subject><subject>Mapping</subject><subject>MEASUREMENT</subject><subject>MEDICION</subject><subject>MESURE</subject><subject>METHODE</subject><subject>METHODOLOGY</subject><subject>METHODS</subject><subject>METODOS</subject><subject>Plant ecology</subject><subject>PROCEDIMIENTO DE LA ENCUESTA</subject><subject>RELEVE (DES DONNEES)</subject><subject>SIMULACION</subject><subject>SIMULATION</subject><subject>simulation model</subject><subject>spatial pattern</subject><subject>stand mapping</subject><subject>Standard deviation</subject><subject>SURVEYING</subject><subject>Surveys</subject><subject>Teledetection and vegetation maps</subject><subject>TREE LOCATION</subject><subject>tree mapping</subject><subject>TREES</subject><subject>triangulation</subject><issn>0012-9658</issn><issn>1939-9170</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><recordid>eNqdkW9r1TAUh4soeJ1-BKGoyAR7lz9tmsw3Xso2hY0rur0QkUOWJtde2qYmLWPf3lM6hshembxIaZ78zkmeJDmiZE2lIkeEUJYpUchDqpR8R0r1g0iqjjdfLk4vLn-yNVlX2w_sUbKiiqtM0ZI8Tlb3p54mz2LcExw0l6vk4yYdgjZjY3Sbdnb85evU-ZB2ehiafpeOwdqYTnH-rps46t5Y5HScgu1sP8bnyROn22hf3K0HydXpyWX1KTvfnn2uNueZyaVSmaZ5IY3UQjjORK3LumCccUqt0rnRdU0dJ0LlzFHOlBNcXJf2uiCOkZJJZvhB8nbJHYL_Pdk4QtdEY9tW99ZPEajIGaElQ_DVP-DeT6HH3oDhA0qsKxF6v0A73VpoeudHfIWd7W3Qre-ta_D3hhFBZFEUiGcP4Dhr2zXmIf5s4U3wMQbrYAhNp8MtUAKzRZh9wOwDZouAFmG2CItFYECg2sJ8mzd3t9ERFbmAApp4H8c4kSJXiH1dsBts5PZ_q8FJ9X0GSsVxF0NfL6H7OPrwdyiWLYGWGEiRerlQTnvQu4DdXX3DlBLFKVrwP5fSyYk</recordid><startdate>199804</startdate><enddate>199804</enddate><creator>Boose, Emery R.</creator><creator>Boose, Emery F.</creator><creator>Lezberg, Ann L.</creator><general>Ecological Society of America</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>7ST</scope><scope>7T7</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.-</scope><scope>L.0</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>RC3</scope><scope>SOI</scope></search><sort><creationdate>199804</creationdate><title>A practical method for mapping trees using distance measurements</title><author>Boose, Emery R. ; Boose, Emery F. ; Lezberg, Ann L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4899-a1458c8a66f326da7d5232311e9a4cadd1f306942f1329f636b7eb50f207282c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Absolute value</topic><topic>Animal, plant and microbial ecology</topic><topic>APLICACIONES DEL ORDENADOR</topic><topic>APPLICATION DES ORDINATEURS</topic><topic>ARBOLES</topic><topic>ARBRE</topic><topic>Arithmetic mean</topic><topic>Biological and medical sciences</topic><topic>CARTOGRAFIA</topic><topic>CARTOGRAPHIE</topic><topic>CARTOGRAPHY</topic><topic>COMPUTER APPLICATIONS</topic><topic>COMPUTER SIMULATION</topic><topic>Coordinate systems</topic><topic>Dendrometry. Forest inventory</topic><topic>distance measurements</topic><topic>Ecological research</topic><topic>Electronic distance measuring instruments</topic><topic>Elevation angle</topic><topic>error accumulation</topic><topic>error correction</topic><topic>Error rates</topic><topic>Forest ecology</topic><topic>Forestry</topic><topic>Forests</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects. Techniques</topic><topic>interpoint distances</topic><topic>INTERPOINT METHOD</topic><topic>Mapping</topic><topic>MEASUREMENT</topic><topic>MEDICION</topic><topic>MESURE</topic><topic>METHODE</topic><topic>METHODOLOGY</topic><topic>METHODS</topic><topic>METODOS</topic><topic>Plant ecology</topic><topic>PROCEDIMIENTO DE LA ENCUESTA</topic><topic>RELEVE (DES DONNEES)</topic><topic>SIMULACION</topic><topic>SIMULATION</topic><topic>simulation model</topic><topic>spatial pattern</topic><topic>stand mapping</topic><topic>Standard deviation</topic><topic>SURVEYING</topic><topic>Surveys</topic><topic>Teledetection and vegetation maps</topic><topic>TREE LOCATION</topic><topic>tree mapping</topic><topic>TREES</topic><topic>triangulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boose, Emery R.</creatorcontrib><creatorcontrib>Boose, Emery F.</creatorcontrib><creatorcontrib>Lezberg, Ann 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for mapping trees using distance measurements</atitle><jtitle>Ecology (Durham)</jtitle><date>1998-04</date><risdate>1998</risdate><volume>79</volume><issue>3</issue><spage>819</spage><epage>827</epage><pages>819-827</pages><issn>0012-9658</issn><eissn>1939-9170</eissn><coden>ECGYAQ</coden><abstract>Accurate maps of the locations of trees are useful for many ecological studies but are often difficult to obtain with traditional surveying methods because the trees hinder line of sight measurements. An alternative method, inspired by earlier work of F. Rohlf and J. Archie, is presented. This "Interpoint method" is based solely on tree diameter and tree-to-tree distance measurements. A computer performs the necessary triangulation and detects gross errors. The Interpoint method was used to map trees in seven long-term study plots at the Harvard Forest, ranging from 0.25 ha (200 trees) to 0.80 ha (889 trees). The question of accumulation of error was addressed though a computer simulation designed to model field conditions as closely as possible. The simulation showed that the technique is highly accurate and that errors accumulate quite slowly if measurements are made with reasonable care (e.g., average predicted location errors after 1000 trees and after 10 000 trees were 9 cm and 15 cm, respectively, for measurement errors comparable to field conditions; similar values were obtained in an independent survey of one of the field plots). The technique requires only measuring tapes, a computer, and two or three field personnel. Previous field experience is not required. The Interpoint method is a good choice for mapping trees where a high level of accuracy is desired, especially where expensive surveying equipment and trained personnel are not available.</abstract><cop>Washington, DC</cop><pub>Ecological Society of America</pub><doi>10.1890/0012-9658(1998)079[0819:APMFMT]2.0.CO;2</doi><tpages>9</tpages></addata></record> |
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subjects | Absolute value Animal, plant and microbial ecology APLICACIONES DEL ORDENADOR APPLICATION DES ORDINATEURS ARBOLES ARBRE Arithmetic mean Biological and medical sciences CARTOGRAFIA CARTOGRAPHIE CARTOGRAPHY COMPUTER APPLICATIONS COMPUTER SIMULATION Coordinate systems Dendrometry. Forest inventory distance measurements Ecological research Electronic distance measuring instruments Elevation angle error accumulation error correction Error rates Forest ecology Forestry Forests Fundamental and applied biological sciences. Psychology General aspects. Techniques interpoint distances INTERPOINT METHOD Mapping MEASUREMENT MEDICION MESURE METHODE METHODOLOGY METHODS METODOS Plant ecology PROCEDIMIENTO DE LA ENCUESTA RELEVE (DES DONNEES) SIMULACION SIMULATION simulation model spatial pattern stand mapping Standard deviation SURVEYING Surveys Teledetection and vegetation maps TREE LOCATION tree mapping TREES triangulation |
title | A practical method for mapping trees using distance measurements |
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