Adaptive k-tree sample plot for the estimation of stem density: An empirical approach
Available budgets for the inventory of non-commercial woodlands are small. Therefore, there has been increased interest in using distance methods, such as k-tree sampling, which are faster than fixed plot sampling. In low-density woodlands, large search areas for k nearest trees contradict any pract...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2018-01-01
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| Series: | Journal of Forest Science |
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| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-201801-0004_adaptive-k-tree-sample-plot-for-the-estimation-of-stem-density-an-empirical-approach.php |
| _version_ | 1797898732823379968 |
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| author | Hormoz SOHRABI |
| author_facet | Hormoz SOHRABI |
| author_sort | Hormoz SOHRABI |
| collection | DOAJ |
| description | Available budgets for the inventory of non-commercial woodlands are small. Therefore, there has been increased interest in using distance methods, such as k-tree sampling, which are faster than fixed plot sampling. In low-density woodlands, large search areas for k nearest trees contradict any practical advantage over sampling with fixed area plots. Here, a modification of a k-tree sample plot with an empirical approach to estimating the number of trees per unit area in low-density woodlands is presented. The standard and modified k-tree sample plots have been tested in one actual and three simulated forests with different spatial patterns. The modified method was superior to other combinations of methods in terms of relative bias and relative efficiency. Considering statistical and practical aspects of sampling for tree density, the modified method is more promising than is the standard one. |
| first_indexed | 2024-04-10T08:18:48Z |
| format | Article |
| id | doaj.art-c65b0705142f46029f017099399200d1 |
| institution | Directory Open Access Journal |
| issn | 1212-4834 1805-935X |
| language | English |
| last_indexed | 2024-04-10T08:18:48Z |
| publishDate | 2018-01-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Journal of Forest Science |
| spelling | doaj.art-c65b0705142f46029f017099399200d12023-02-23T03:42:56ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2018-01-01641172410.17221/111/2017-JFSjfs-201801-0004Adaptive k-tree sample plot for the estimation of stem density: An empirical approachHormoz SOHRABIAvailable budgets for the inventory of non-commercial woodlands are small. Therefore, there has been increased interest in using distance methods, such as k-tree sampling, which are faster than fixed plot sampling. In low-density woodlands, large search areas for k nearest trees contradict any practical advantage over sampling with fixed area plots. Here, a modification of a k-tree sample plot with an empirical approach to estimating the number of trees per unit area in low-density woodlands is presented. The standard and modified k-tree sample plots have been tested in one actual and three simulated forests with different spatial patterns. The modified method was superior to other combinations of methods in terms of relative bias and relative efficiency. Considering statistical and practical aspects of sampling for tree density, the modified method is more promising than is the standard one.https://jfs.agriculturejournals.cz/artkey/jfs-201801-0004_adaptive-k-tree-sample-plot-for-the-estimation-of-stem-density-an-empirical-approach.phpplotless samplingdistance samplingbiasefficiencyforest sampling |
| spellingShingle | Hormoz SOHRABI Adaptive k-tree sample plot for the estimation of stem density: An empirical approach Journal of Forest Science plotless sampling distance sampling bias efficiency forest sampling |
| title | Adaptive k-tree sample plot for the estimation of stem density: An empirical approach |
| title_full | Adaptive k-tree sample plot for the estimation of stem density: An empirical approach |
| title_fullStr | Adaptive k-tree sample plot for the estimation of stem density: An empirical approach |
| title_full_unstemmed | Adaptive k-tree sample plot for the estimation of stem density: An empirical approach |
| title_short | Adaptive k-tree sample plot for the estimation of stem density: An empirical approach |
| title_sort | adaptive k tree sample plot for the estimation of stem density an empirical approach |
| topic | plotless sampling distance sampling bias efficiency forest sampling |
| url | https://jfs.agriculturejournals.cz/artkey/jfs-201801-0004_adaptive-k-tree-sample-plot-for-the-estimation-of-stem-density-an-empirical-approach.php |
| work_keys_str_mv | AT hormozsohrabi adaptivektreesampleplotfortheestimationofstemdensityanempiricalapproach |