Risk factors influencing the probability of browsing by hoofed game on forest trees
In this paper we analyze how selected risk factors determine the probability of browsing by hoofed game on forest trees. Risk factors covered by the model are: tree species (Norway spruce or Scotch pine), time period (season: spring + summer or autumn + winter) and chemical structure of bark (conten...
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| Format: | Article |
| Language: | English |
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Czech Academy of Agricultural Sciences
2007-08-01
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| Series: | Journal of Forest Science |
| Subjects: | |
| Online Access: | https://jfs.agriculturejournals.cz/artkey/jfs-200708-0003_risk-factors-influencing-the-probability-of-browsing-by-hoofed-game-on-forest-trees.php |
| _version_ | 1797898923807866880 |
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| author | V. Malík J. Stuchlý |
| author_facet | V. Malík J. Stuchlý |
| author_sort | V. Malík |
| collection | DOAJ |
| description | In this paper we analyze how selected risk factors determine the probability of browsing by hoofed game on forest trees. Risk factors covered by the model are: tree species (Norway spruce or Scotch pine), time period (season: spring + summer or autumn + winter) and chemical structure of bark (content of selected nutrients and chemical elements). We use a logit model for these purposes. We formulate the model and perform linear transformation by the natural log. Since the disturbance term in the logit model is heteroscedastic, we cannot use the ordinary least-squares method to estimate the parameters of the model. In this case the maximum likelihood method included in STATGRAPHICS Plus for Windows program is used for its estimation. We use a random sample of data including 59 trees. We do the interpretations of the estimated parameters and other characteristics. We demonstrate how the estimated probabilities depend on the considered factor. The model explains 44.1% of variations of the logits, the model is statistically significant. All regression coefficients are significant at least at 12% confidence level. Among the main explanatory variables (content of P, Ca, NO3, tree species and season), the P and Ca contents in the bark of the tree are the most important factors influencing the probability of future damage to the tree. |
| first_indexed | 2024-04-10T08:20:43Z |
| format | Article |
| id | doaj.art-95d4887468ac48459c587a67e398761b |
| institution | Directory Open Access Journal |
| issn | 1212-4834 1805-935X |
| language | English |
| last_indexed | 2024-04-10T08:20:43Z |
| publishDate | 2007-08-01 |
| publisher | Czech Academy of Agricultural Sciences |
| record_format | Article |
| series | Journal of Forest Science |
| spelling | doaj.art-95d4887468ac48459c587a67e398761b2023-02-23T03:41:53ZengCzech Academy of Agricultural SciencesJournal of Forest Science1212-48341805-935X2007-08-0153835936310.17221/2179-JFSjfs-200708-0003Risk factors influencing the probability of browsing by hoofed game on forest treesV. Malík0J. Stuchlý1School Forest Enterprise at Kostelec nad Černými lesy, Czech University of Life Sciences Prague, Prague, Czech RepublicSchool Forest Enterprise at Kostelec nad Černými lesy, Czech University of Life Sciences Prague, Prague, Czech RepublicIn this paper we analyze how selected risk factors determine the probability of browsing by hoofed game on forest trees. Risk factors covered by the model are: tree species (Norway spruce or Scotch pine), time period (season: spring + summer or autumn + winter) and chemical structure of bark (content of selected nutrients and chemical elements). We use a logit model for these purposes. We formulate the model and perform linear transformation by the natural log. Since the disturbance term in the logit model is heteroscedastic, we cannot use the ordinary least-squares method to estimate the parameters of the model. In this case the maximum likelihood method included in STATGRAPHICS Plus for Windows program is used for its estimation. We use a random sample of data including 59 trees. We do the interpretations of the estimated parameters and other characteristics. We demonstrate how the estimated probabilities depend on the considered factor. The model explains 44.1% of variations of the logits, the model is statistically significant. All regression coefficients are significant at least at 12% confidence level. Among the main explanatory variables (content of P, Ca, NO3, tree species and season), the P and Ca contents in the bark of the tree are the most important factors influencing the probability of future damage to the tree.https://jfs.agriculturejournals.cz/artkey/jfs-200708-0003_risk-factors-influencing-the-probability-of-browsing-by-hoofed-game-on-forest-trees.phpelement contentsbarksprucepinelogit modelodds ratios |
| spellingShingle | V. Malík J. Stuchlý Risk factors influencing the probability of browsing by hoofed game on forest trees Journal of Forest Science element contents bark spruce pine logit model odds ratios |
| title | Risk factors influencing the probability of browsing by hoofed game on forest trees |
| title_full | Risk factors influencing the probability of browsing by hoofed game on forest trees |
| title_fullStr | Risk factors influencing the probability of browsing by hoofed game on forest trees |
| title_full_unstemmed | Risk factors influencing the probability of browsing by hoofed game on forest trees |
| title_short | Risk factors influencing the probability of browsing by hoofed game on forest trees |
| title_sort | risk factors influencing the probability of browsing by hoofed game on forest trees |
| topic | element contents bark spruce pine logit model odds ratios |
| url | https://jfs.agriculturejournals.cz/artkey/jfs-200708-0003_risk-factors-influencing-the-probability-of-browsing-by-hoofed-game-on-forest-trees.php |
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