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Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands
Patricia Adame, Miren del Río, Isabel Cañellas

Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands

Science & Mathematics Published 2010 Verification Pending

Overview & Synopsis

Tree mortality is an important process in forest ecosystem dynamics and is one of the least understood phenomena, because of the complex interactions between different environmental stresses, minimal understanding of whole-plant mortality processes, and a chronic shortage of data. * A multilevel logistic regression model was developed for predicting the probability of mortality in individual trees with the objective of improving long-term planning in Spanish pyrenean oak forests. The data came from one 10-year re-measurement of the permanent plot network belonging to the Spanish National Forest Inventory distributed throughout north-west Spain. * The probability of mortality decreased with increasing individual diameter at breast height and increasing ratio of the height of subject tree to the dominant height of the sample plot. The resulting mortality model was evaluated using an independent data set from a region close to the study area. * The regeneration of pyrenean oak generally takes place through stump and/or root sprouting; so stand dynamics differ from those of others species. The model developed is expected to improve the accuracy of stand forecasts in northwest Spain.

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Document Information

Document Title Modeling individual-tree mortality in Pyrenean oak (Quercus pyrenaica Willd.) stands
Author / Organization Patricia Adame, Miren del Río, Isabel Cañellas
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2010
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-20987
Original Source Link Visit Source Page on hal.science »