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A technique for measuring the density and complexity of understorey vegetation in tropical forests

The dense understorey regrowth after disturbance of tropical forests has been linked to serious declines in many understorey and terrestrial animal taxa. We devised a method of measuring changes in vegetation characteristics using standardized photographs of the forest understorey. We describe the m...

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Main Authors: Marsden, Stuart J., Fielding, Alan H., Mead, Claire, Hussin, M.Zakaria
Format: Article
Language:English
Published: Elsevier 2002
Online Access:http://psasir.upm.edu.my/id/eprint/112242/3/112242.pdf
http://psasir.upm.edu.my/id/eprint/112242/
https://linkinghub.elsevier.com/retrieve/pii/S0378112701006533
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spelling my.upm.eprints.1122422025-02-05T01:53:24Z http://psasir.upm.edu.my/id/eprint/112242/ A technique for measuring the density and complexity of understorey vegetation in tropical forests Marsden, Stuart J. Fielding, Alan H. Mead, Claire Hussin, M.Zakaria The dense understorey regrowth after disturbance of tropical forests has been linked to serious declines in many understorey and terrestrial animal taxa. We devised a method of measuring changes in vegetation characteristics using standardized photographs of the forest understorey. We describe the method using a sample dataset of photographs taken at 28 stations in primary forest and forest that had been logged selectively eight years previously, at the Danum Valley Field Centre in lowland Borneo. The understorey photographs were digitized and eight measures of vegetation density and complexity generated for each image using FRAGSTATS. Parameters included vegetation area, total vegetation edge, and mean fractal dimension of vegetation patches. There were no significant correlations between the vegetation density measures and those representing vegetation complexity showing there to be two unrelated components to understorey variability. We used PCA to derive two principal axes from the eight vegetation parameters. There were no significant differences in our measures of understorey density or complexity between the primary and logged forest stations. There was, however, a greater range of understorey characteristics in primary forest than in logged forest indicating a loss of understorey heterogeneity following logging. Most apparent was a loss of very open and non-complex understories and this may affect some animals in a number of ways, including altering the abundance of their prey and altering their ability to forage successfully in logged forest. Elsevier 2002 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/112242/3/112242.pdf Marsden, Stuart J. and Fielding, Alan H. and Mead, Claire and Hussin, M.Zakaria (2002) A technique for measuring the density and complexity of understorey vegetation in tropical forests. Forest Ecology and Management, 165 (1-3). pp. 117-123. ISSN 0378-1127; eISSN: 1872-7042 https://linkinghub.elsevier.com/retrieve/pii/S0378112701006533 10.1016/s0378-1127(01)00653-3
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description The dense understorey regrowth after disturbance of tropical forests has been linked to serious declines in many understorey and terrestrial animal taxa. We devised a method of measuring changes in vegetation characteristics using standardized photographs of the forest understorey. We describe the method using a sample dataset of photographs taken at 28 stations in primary forest and forest that had been logged selectively eight years previously, at the Danum Valley Field Centre in lowland Borneo. The understorey photographs were digitized and eight measures of vegetation density and complexity generated for each image using FRAGSTATS. Parameters included vegetation area, total vegetation edge, and mean fractal dimension of vegetation patches. There were no significant correlations between the vegetation density measures and those representing vegetation complexity showing there to be two unrelated components to understorey variability. We used PCA to derive two principal axes from the eight vegetation parameters. There were no significant differences in our measures of understorey density or complexity between the primary and logged forest stations. There was, however, a greater range of understorey characteristics in primary forest than in logged forest indicating a loss of understorey heterogeneity following logging. Most apparent was a loss of very open and non-complex understories and this may affect some animals in a number of ways, including altering the abundance of their prey and altering their ability to forage successfully in logged forest.
format Article
author Marsden, Stuart J.
Fielding, Alan H.
Mead, Claire
Hussin, M.Zakaria
spellingShingle Marsden, Stuart J.
Fielding, Alan H.
Mead, Claire
Hussin, M.Zakaria
A technique for measuring the density and complexity of understorey vegetation in tropical forests
author_facet Marsden, Stuart J.
Fielding, Alan H.
Mead, Claire
Hussin, M.Zakaria
author_sort Marsden, Stuart J.
title A technique for measuring the density and complexity of understorey vegetation in tropical forests
title_short A technique for measuring the density and complexity of understorey vegetation in tropical forests
title_full A technique for measuring the density and complexity of understorey vegetation in tropical forests
title_fullStr A technique for measuring the density and complexity of understorey vegetation in tropical forests
title_full_unstemmed A technique for measuring the density and complexity of understorey vegetation in tropical forests
title_sort technique for measuring the density and complexity of understorey vegetation in tropical forests
publisher Elsevier
publishDate 2002
url http://psasir.upm.edu.my/id/eprint/112242/3/112242.pdf
http://psasir.upm.edu.my/id/eprint/112242/
https://linkinghub.elsevier.com/retrieve/pii/S0378112701006533
_version_ 1823276347246510080
score 13.23648

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