Models for individual tree mortality in Norway

Eid, Tron; Tuhus, Erik

doi:10.1016/s0378-1127(00)00634-4

Cited by 148 publications

(155 citation statements)

References 14 publications

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“…Furthermore, site variables (site index or growth index) were not significant predictors in the survival models. Previous studies (see Vanclay, 1994) mentioned that the effect of site on tree mortality is unclear since; although there is empirical evidence that better sites can sustain higher basal area, there are some studies showing that mortality begins earlier in good sites (Eid and Tuhus, 2001). The survival models of this study (Eqs.…”

Section: P12mentioning

confidence: 87%

Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce

Palahí

Pukkala²,

Kasimiadis

et al. 2008

Ann. For. Sci.

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Ann. For. Sci. 65 (2008) Abstract -•Simulation tools, based on individual tree growth and mortality models can produce the most detailed predictions of forest stand development under different management schedules. These models allow the manager to predict the development of any type of stand (even-and uneven-aged, and pure and mixed stands).• Different model approaches and predictors are required for pure even-aged or mixed uneven-aged forest stands. This study developed and compared two sets of models which enable tree-level simulation of the development of pure and mixed stands of Pinus brutia in north-east Greece. The first set of models for even-aged forestry consists of site index models, diameter growth models, tree height models, and mortality models. The second set, which is for uneven-aged forestry, uses a past growth index instead of a site index.• The simulations and overall fitting statistics suggest that the two types of models provide realistic and accurate predictions of forest stand development and allow one to simulate the development of complex Pinus brutia stand structures in Dadia National Park forests.• The advantages of the two approaches are discussed and it is suggested that the growth index is an effective predictor of site quality and the set of models which used such variable as predictor performed in a similar way as the models using site index, which require more information and a given stand structure (even-aged).growth and yield / mixed models / simulation Résumé -Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce.• Des outils de simulation basés sur la croissance individuelle des arbres et des modèles de mortalité peuvent produire les prédictions les plus détaillées sur le développement des peuplements forestiers sous différents programmes de gestion. Ces modèles permettent au gestionnaire de prédire le dévelop-pement de n'importe quel type de peuplement (équienne et inéquienne, peuplement pur et peuplement mélangé).• Différents modèles d'approche et des indices sont requis pour les peuplements purs équiennes ou les peuplements mélangés inéquiennes. Cette étude a développé et comparé deux séries de modèles qui permettent la simulation, au niveau de l'arbre, du développement des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce. La première série de modèles pour la sylviculture équienne consiste en modèles de site index, modèles de croissance en diamètre, modèles de croissance en hauteur et modèles de mortalité. La seconde série destinée à une sylviculture inéquienne, utilise un index de croissance passée au lieu d'un site index.• Les simulations et des statistiques d'ajustement d'ensemble suggèrent que les deux types de modèles fournissent des prédictions réalistes et précises du développement des peuplements forestiers et permettent de simuler le développement des structures complexes des peuplements de Pinus brutia du Parc ...

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Section: P12mentioning

confidence: 87%

Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce

Palahí

Pukkala²,

Kasimiadis

et al. 2008

Ann. For. Sci.

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“…Earlier studies have found that sites with different levels of productivity exhibit differences in mortality (Eid and Tuhus, 2001;Yao et al, 2001). Although site index data was not available, it was possible to include different site specific variables (Tab.…”

Section: Selection Of Variablesmentioning

confidence: 99%

“…Sci. 67 (2010) In individual-based models, tree death is predicted based on a range of variables that can be classified roughly as (Bigler and Bugmann, 2003;Eid and Tuhus, 2001;Monserud and Sterba, 1999): (i) size-related variables such as diameter at breast height or tree height, (ii) growth-related variables such as competition and measures of stand density, (iii) measures of tree vitality.…”

Section: Introductionmentioning

confidence: 99%

“…The disadvantages of using this type of data are first, that the methodology is not specifically designed with model development, and second, the difficulty involved in identifying the dead trees. Models for individual tree mortality based on such data have previously been developed for different species and regions (Eid and Tuhus, 2001;Hasenauer et al, 2001;Monserud and Sterba, 1999). The Spanish NFI has been used for modelling tree mortality in pine species (Trasobares et al, 2004a;2004b).…”

Section: Introductionmentioning

confidence: 99%

“…A number of individual tree mortality models have been developed for oaks growing in Central and Northern Europe (Eid and Tuhus, 2001;Fridman and Stahl, 2001;Monserud and Sterba, 1999). All of them used data from National Forest Inventories and species of the genus Quercus were considered to be a homogeneous group or even included within "other deciduous" species.…”

Section: Introductionmentioning

confidence: 99%

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

Adame¹,

Rı́o²,

Cañellas³

2010

Ann. For. Sci.

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Keywords:individual-tree mortality model / logistic regression / mixed model / rebollo oak / Mediteranean oak Abstract • 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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2011

Forest Growth and Yield Modeling

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Models for individual tree mortality in Norway

Cited by 148 publications

References 14 publications

Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce

Modélisation de la qualité des stations et de la croissance individuelle des arbres dans des peuplements purs et mélangés de Pinus brutia dans le nord-est de la Grèce

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

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