A critique of permanent plot methods and analysis with examples from Budongo forest, Uganda Douglas Sheil
Subject(s): In: Forest Ecology and Management Vol. 77 (1995),Pp. 11-34Summary: Permanent sample plot (PSP) studies a major role in ecological and management research. Bias and error may arise in such studies at each stage of the assessment procedure from plot establishment through to data interpretation, and can undermine confidence in the use of PSP data. This paper considers these problems and suggests how they might be identified and minimised. Examples are taken from Budongo Forest, Uganda, which provides some of the World's longest-term PSP data from both primary and treated tropical forest (1939-1993 and 1933-1992 respectively).Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
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Article | French Institute of Pondicherry | IFP Ecology collection | FOR.BOX.009 (Browse shelf(Opens below)) | Available | EC8648 |
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Permanent sample plot (PSP) studies a major role in ecological and management research. Bias and error may arise in such studies at each stage of the assessment procedure from plot establishment through to data interpretation, and can undermine confidence in the use of PSP data. This paper considers these problems and suggests how they might be identified and minimised. Examples are taken from Budongo Forest, Uganda, which provides some of the World's longest-term PSP data from both primary and treated tropical forest (1939-1993 and 1933-1992 respectively).
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