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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
Main Authors: Boose, Emery R., Boose, Emery F., Lezberg, Ann L.
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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). 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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. 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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><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. 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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.</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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