A method for using random parameters in analyzing permanent sample plots.
The use of random parameter models in forestry has been proposed as one method of incorporating different levels of information into prediction equations. By explicitly considering the variance-covariance structure of observations and considering some model parameters as random rather than fixed, on...
Published in: | Silva Fennica |
---|---|
Main Authors: | , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Finnish Society of Forest Science
1995
|
Subjects: | |
Online Access: | https://doi.org/10.14214/sf.a9214 https://doaj.org/article/e3ed78436306496190d1db869a3bc93a |
id |
ftdoajarticles:oai:doaj.org/article:e3ed78436306496190d1db869a3bc93a |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:e3ed78436306496190d1db869a3bc93a 2023-05-15T17:42:26+02:00 A method for using random parameters in analyzing permanent sample plots. Penner, Margaret Hökkä, Hannu Penttilä, Timo 1995-01-01T00:00:00Z https://doi.org/10.14214/sf.a9214 https://doaj.org/article/e3ed78436306496190d1db869a3bc93a EN eng Finnish Society of Forest Science https://www.silvafennica.fi/article/5563 https://doaj.org/toc/2242-4075 2242-4075 doi:10.14214/sf.a9214 https://doaj.org/article/e3ed78436306496190d1db869a3bc93a Silva Fennica, Vol 29, Iss 4 (1995) Forestry SD1-669.5 article 1995 ftdoajarticles https://doi.org/10.14214/sf.a9214 2022-12-31T04:56:56Z The use of random parameter models in forestry has been proposed as one method of incorporating different levels of information into prediction equations. By explicitly considering the variance-covariance structure of observations and considering some model parameters as random rather than fixed, one can incorporate more complex error structures in analysing data. Competition indices and variance component techniques were applied to 92 Scots pine ( L.) -dominated permanent sample plots on drained peatlands in Northern Finland. By quantifying stand, plot, and tree level variation, it was possible to identify the level (stand, plot or tree) at which the explanatory variables contributed to the model. The replication of plots within stands revealed little variation among plots within a single stand but significant variation occurred at stand and tree levels. Positive and negative effects of inter-tree competition are identified by examining simple correlation statistics and the random parameter model.Pinus sylvestris Article in Journal/Newspaper Northern Finland Directory of Open Access Journals: DOAJ Articles Silva Fennica 29 4 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Forestry SD1-669.5 |
spellingShingle |
Forestry SD1-669.5 Penner, Margaret Hökkä, Hannu Penttilä, Timo A method for using random parameters in analyzing permanent sample plots. |
topic_facet |
Forestry SD1-669.5 |
description |
The use of random parameter models in forestry has been proposed as one method of incorporating different levels of information into prediction equations. By explicitly considering the variance-covariance structure of observations and considering some model parameters as random rather than fixed, one can incorporate more complex error structures in analysing data. Competition indices and variance component techniques were applied to 92 Scots pine ( L.) -dominated permanent sample plots on drained peatlands in Northern Finland. By quantifying stand, plot, and tree level variation, it was possible to identify the level (stand, plot or tree) at which the explanatory variables contributed to the model. The replication of plots within stands revealed little variation among plots within a single stand but significant variation occurred at stand and tree levels. Positive and negative effects of inter-tree competition are identified by examining simple correlation statistics and the random parameter model.Pinus sylvestris |
format |
Article in Journal/Newspaper |
author |
Penner, Margaret Hökkä, Hannu Penttilä, Timo |
author_facet |
Penner, Margaret Hökkä, Hannu Penttilä, Timo |
author_sort |
Penner, Margaret |
title |
A method for using random parameters in analyzing permanent sample plots. |
title_short |
A method for using random parameters in analyzing permanent sample plots. |
title_full |
A method for using random parameters in analyzing permanent sample plots. |
title_fullStr |
A method for using random parameters in analyzing permanent sample plots. |
title_full_unstemmed |
A method for using random parameters in analyzing permanent sample plots. |
title_sort |
method for using random parameters in analyzing permanent sample plots. |
publisher |
Finnish Society of Forest Science |
publishDate |
1995 |
url |
https://doi.org/10.14214/sf.a9214 https://doaj.org/article/e3ed78436306496190d1db869a3bc93a |
genre |
Northern Finland |
genre_facet |
Northern Finland |
op_source |
Silva Fennica, Vol 29, Iss 4 (1995) |
op_relation |
https://www.silvafennica.fi/article/5563 https://doaj.org/toc/2242-4075 2242-4075 doi:10.14214/sf.a9214 https://doaj.org/article/e3ed78436306496190d1db869a3bc93a |
op_doi |
https://doi.org/10.14214/sf.a9214 |
container_title |
Silva Fennica |
container_volume |
29 |
container_issue |
4 |
_version_ |
1766144299334893568 |