Calibrating predicted tree diameter distributions in Catalonia, Spain

Several probability density functions have been used in describing the diameter distributions of forest stands. In a case where both the stand basal area and number of stems per hectare are assessed, the fitted or predicted distribution is scaled using only one of these variables, with...

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Main Authors: Palahí, Marc, Pukkala, Timo, Trasobares, Antoni
Format: Article
Language:English
Published: Finnish Society of Forest Science 2006-01-01
Series:Silva Fennica
Online Access:https://www.silvafennica.fi/article/332
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spelling doaj-207ee8adfcff4f5ead39bd2b71e5e8ec2020-11-25T02:27:37ZengFinnish Society of Forest ScienceSilva Fennica2242-40752006-01-0140310.14214/sf.332Calibrating predicted tree diameter distributions in Catalonia, SpainPalahí, MarcPukkala, TimoTrasobares, Antoni Several probability density functions have been used in describing the diameter distributions of forest stands. In a case where both the stand basal area and number of stems per hectare are assessed, the fitted or predicted distribution is scaled using only one of these variables, with the result that the distribution often gives incorrect values for the other variable. Using a distribution that provides incorrect values for known characteristics means wasting information. Calibrating the distribution so that it is compatible with the additional information on stand characteristics is a way to avoid such wasting. This study examined the effect of calibration on the accuracy of the predicted diameter distributions of the main tree species of Catalonia. The distributions were calibrated with and without considering the prediction errors of the frequencies of diameter classes. When prediction errors were assumed, the calibration was done with and without making allowance for estimation errors in the stand level calibration variables. Calibrated distributions were more accurate than non-calibrated in terms of sums of different powers of diameters. The set of calibration variables that gave the most accurate results included six stand variables: number of trees per hectare, stand basal area, basal-area-weighted mean diameter, non-weighted mean diameter, median diameter, and basal area median diameter. Of the tested three-variable combinations the best was: number of trees per hectare, stand basal area, and basal-area-weighted mean diameter. Means were more useful calibration variables than medians.https://www.silvafennica.fi/article/332
collection DOAJ
language English
format Article
sources DOAJ
author Palahí, Marc
Pukkala, Timo
Trasobares, Antoni
spellingShingle Palahí, Marc
Pukkala, Timo
Trasobares, Antoni
Calibrating predicted tree diameter distributions in Catalonia, Spain
Silva Fennica
author_facet Palahí, Marc
Pukkala, Timo
Trasobares, Antoni
author_sort Palahí, Marc
title Calibrating predicted tree diameter distributions in Catalonia, Spain
title_short Calibrating predicted tree diameter distributions in Catalonia, Spain
title_full Calibrating predicted tree diameter distributions in Catalonia, Spain
title_fullStr Calibrating predicted tree diameter distributions in Catalonia, Spain
title_full_unstemmed Calibrating predicted tree diameter distributions in Catalonia, Spain
title_sort calibrating predicted tree diameter distributions in catalonia, spain
publisher Finnish Society of Forest Science
series Silva Fennica
issn 2242-4075
publishDate 2006-01-01
description Several probability density functions have been used in describing the diameter distributions of forest stands. In a case where both the stand basal area and number of stems per hectare are assessed, the fitted or predicted distribution is scaled using only one of these variables, with the result that the distribution often gives incorrect values for the other variable. Using a distribution that provides incorrect values for known characteristics means wasting information. Calibrating the distribution so that it is compatible with the additional information on stand characteristics is a way to avoid such wasting. This study examined the effect of calibration on the accuracy of the predicted diameter distributions of the main tree species of Catalonia. The distributions were calibrated with and without considering the prediction errors of the frequencies of diameter classes. When prediction errors were assumed, the calibration was done with and without making allowance for estimation errors in the stand level calibration variables. Calibrated distributions were more accurate than non-calibrated in terms of sums of different powers of diameters. The set of calibration variables that gave the most accurate results included six stand variables: number of trees per hectare, stand basal area, basal-area-weighted mean diameter, non-weighted mean diameter, median diameter, and basal area median diameter. Of the tested three-variable combinations the best was: number of trees per hectare, stand basal area, and basal-area-weighted mean diameter. Means were more useful calibration variables than medians.
url https://www.silvafennica.fi/article/332
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