Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression
The age, size and morphology of trees, including crown dimensions, can influence crown defoliation. In Croatia, the selection management of silver fir (<i>Abies alba</i> Mill.) forests involves pure or mixed stands, either of which can be affected by various disturbances, resulting in un...
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MDPI AG
2023-06-01
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| Series: | Forests |
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| Online Access: | https://www.mdpi.com/1999-4907/14/7/1322 |
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| author | Anamarija Jazbec Damir Ugarković Mladen Ognjenović Mislav Vedriš |
| author_facet | Anamarija Jazbec Damir Ugarković Mladen Ognjenović Mislav Vedriš |
| author_sort | Anamarija Jazbec |
| collection | DOAJ |
| description | The age, size and morphology of trees, including crown dimensions, can influence crown defoliation. In Croatia, the selection management of silver fir (<i>Abies alba</i> Mill.) forests involves pure or mixed stands, either of which can be affected by various disturbances, resulting in unbalanced stand structures. The aim of this study was to estimate the probability of trees transitioning from one defoliation class to the next, examine the influence of tree attributes on that process and analyze the changes in survival over time. The study was conducted over a 18-year period (1990–2007) on two sites with contrasting stand structures: a uniform stand with a dominant share of silver fir (Site A) and an uneven-aged mixed beech–fir stand (Site B). Logistic regression was used to model tree transitions between defoliation classes. Uniform stand structure increased the likelihood of silver fir trees transitioning to a higher defoliation class, with limited dependence on the tree crown position. In contrast, suppressed and central trees in uneven-aged stands were more likely to transition to a higher defoliation due to greater competition between them. Diameter at breast height (DBH) was found to be a significant predictor of tree transition to higher defoliation classes, with a linear trend of increasing probability with increasing DBH. Crown position and crown length were also found to be significant predictors of changing defoliation class, with observed differences between sites occurring due to differences in stand structure. To ensure a balanced stand structure and enhance tree vitality, careful consideration of easily measurable tree elements such as DBH, crown length, and tree crown position is imperative when selecting trees for felling. |
| first_indexed | 2024-03-11T01:04:56Z |
| format | Article |
| id | doaj.art-c2aef1cfb1a941bd86158dcf39719348 |
| institution | Directory Open Access Journal |
| issn | 1999-4907 |
| language | English |
| last_indexed | 2024-03-11T01:04:56Z |
| publishDate | 2023-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Forests |
| spelling | doaj.art-c2aef1cfb1a941bd86158dcf397193482023-11-18T19:22:38ZengMDPI AGForests1999-49072023-06-01147132210.3390/f14071322Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic RegressionAnamarija Jazbec0Damir Ugarković1Mladen Ognjenović2Mislav Vedriš3Faculty of Forestry and Wood Technology, University of Zagreb, 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, 10000 Zagreb, CroatiaDepartment of BI, Analytics and Research, Njuškalo Ltd., 10000 Zagreb, CroatiaFaculty of Forestry and Wood Technology, University of Zagreb, 10000 Zagreb, CroatiaThe age, size and morphology of trees, including crown dimensions, can influence crown defoliation. In Croatia, the selection management of silver fir (<i>Abies alba</i> Mill.) forests involves pure or mixed stands, either of which can be affected by various disturbances, resulting in unbalanced stand structures. The aim of this study was to estimate the probability of trees transitioning from one defoliation class to the next, examine the influence of tree attributes on that process and analyze the changes in survival over time. The study was conducted over a 18-year period (1990–2007) on two sites with contrasting stand structures: a uniform stand with a dominant share of silver fir (Site A) and an uneven-aged mixed beech–fir stand (Site B). Logistic regression was used to model tree transitions between defoliation classes. Uniform stand structure increased the likelihood of silver fir trees transitioning to a higher defoliation class, with limited dependence on the tree crown position. In contrast, suppressed and central trees in uneven-aged stands were more likely to transition to a higher defoliation due to greater competition between them. Diameter at breast height (DBH) was found to be a significant predictor of tree transition to higher defoliation classes, with a linear trend of increasing probability with increasing DBH. Crown position and crown length were also found to be significant predictors of changing defoliation class, with observed differences between sites occurring due to differences in stand structure. To ensure a balanced stand structure and enhance tree vitality, careful consideration of easily measurable tree elements such as DBH, crown length, and tree crown position is imperative when selecting trees for felling.https://www.mdpi.com/1999-4907/14/7/1322crown conditiontree vitalitymonitoringuneven-aged standscrown lengthcrown position |
| spellingShingle | Anamarija Jazbec Damir Ugarković Mladen Ognjenović Mislav Vedriš Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression Forests crown condition tree vitality monitoring uneven-aged stands crown length crown position |
| title | Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression |
| title_full | Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression |
| title_fullStr | Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression |
| title_full_unstemmed | Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression |
| title_short | Influence of Tree Attributes on Silver Fir (<i>Abies alba</i> Mill.) Transitioning to Higher Defoliation Classes Determined by Logistic Regression |
| title_sort | influence of tree attributes on silver fir i abies alba i mill transitioning to higher defoliation classes determined by logistic regression |
| topic | crown condition tree vitality monitoring uneven-aged stands crown length crown position |
| url | https://www.mdpi.com/1999-4907/14/7/1322 |
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