Modelling damage occurrence by snow and wind in forest ecosystems

Díaz-Yáñez, Olalla; Mola‐Yudego, Blas; González-Olabarría, José Ramón

doi:10.1016/j.ecolmodel.2019.108741

Cited by 36 publications

(27 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, mixed stands are more likely to have heterogeneous stand structure that is less susceptible to uprooting damage (Díaz-Yáñez et al 2017). Studies show that higher stand heterogeneity in birch-dominated stands (birch > 70% of basal area) decreases damage probability in comparison to spruce-and pine-dominated stands (Díaz-Yáñez et al 2019). This suggests that, in addition to pine, both birch and pine admixtures improve overall stand stability.…”

Section: Discussionmentioning

confidence: 99%

Tree- and stand-scale factors shape the probability of wind damage to birch in hemiboreal forests

Kitenberga¹,

Šņepsts²,

Vuguls³

et al. 2021

Silva Fenn.

View full text Add to dashboard Cite

Strong wind is the major natural disturbance in European forests, that periodically causes tremendous damages to forestry. Yet, factors that affect the probability of wind damage for birch ( Roth and Ehrh.), the most common deciduous tree species in hemiboreal forests, are studied scarcely. This study aimed to assess the effects of several tree- and stand-scale variables on the probability of wind damage to birch using data from the Latvian National Forest Inventory (2004â2018), and determine individual tree characteristics that affect the height of the stem breakage. The data analysis was done using the Bayesian binary logistic generalized linear mixed-effects model and a linear mixed-effects model. The probability of wind damage significantly increased by stand age, basal area, and slenderness ratio. Trees with prior damage had a significantly higher probability (odds ratio 4.32) for wind damage. For wind-damaged trees, the snapping height was significantly decreased by an increase in the slenderness ratio (â=â0.03) and prior damage (â=â0.003). Previously damaged trees were more frequently (73%) snapped in the lowest 40% of tree height than trees without prior damage (54%). The probability of wind damage is largely set by factors related to the selection of site, species composition, and rotation. The damage probability could be decreased by management measures that lower competition within the stand with particular regard to preserving intact remaining trees during these manipulations. Factors that reduce the probability of the damage simultaneously increase the snapping height, emphasizing their relevance for mitigation of the wind damages.Betula pendulaB. pubescenspp

show abstract

Section: Discussionmentioning

confidence: 99%

Tree- and stand-scale factors shape the probability of wind damage to birch in hemiboreal forests

Kitenberga¹,

Šņepsts²,

Vuguls³

et al. 2021

Silva Fenn.

View full text Add to dashboard Cite

show abstract

“…The comparison of the two statistical modelling methods showed very similar results despite the method used. Logistic regression models (GLM) have long been the traditional method for modelling snow and other forest disturbances (Valinger and Fridman, 1999;Zhu et al, 2006;Suvanto et al, 2016;Díaz-Yáñez et al, 2019) whereas GAM provides more flexibility in modelling non-linear responses, as the relationship between continuous predictors and the response variable can be modelled with smoothing spline functions instead of the linear relationships used in the GLM. Yet, the GAM used in our analysis is still in many ways similar to the GLM, for example, both use logistic link functions and additively combine the effects of predictors.…”

Section: Discussionmentioning

confidence: 99%

“…Many previous studies have analyzed snow and wind damage together (Valinger and Fridman, 1999;Zhu et al, 2006;Suvanto et al, 2016;Díaz-Yáñez et al, 2019) as these two processes can act jointly in a damage event. For example, wind can more easily break trees with heavy snow load, or strong winds can either increase the snow accumulation or prevent the accumulation of snow on trees by shedding the snow from the branches (Solantie, 1994;Nykänen et al, 1997) .…”

Section: Discussionmentioning

confidence: 99%

Mapping the probability of forest snow disturbances in Finland

Suvanto

Lehtonen

Nevalainen

et al. 2020

Preprint

View full text Add to dashboard Cite

The changing forest disturbance regimes emphasize the need for improved damage risk information. In this study, our aim was to improve the current understanding of snow damage risks by assessing the importance of abiotic factors, particularly the modelled snow load on tree crowns, versus forest properties in predicting the probability of snow damage, producing a snow damage probability map for Finland and test its performance, and comparing the results for winters with typical snow load conditions and a winter with exceptionally heavy snow loads. To do this, we used damage observations from the Finnish national forest inventory (NFI) to create a statistical snow damage occurrence model, spatial data layers from different sources to use the model to predict the damage probability for the whole country in 16 × 16 m resolution. Snow damage reports in forest use declarations were used for testing the final map. Our results showed that best results were obtained when both abiotic and forest variables were included in the model. However, in the case of the high snow load winter, the model with only abiotic predictors performed nearly as well as the full model. The statistical models were also able to identify the snow damage stands more accurately for the heavy snow load winter. The two tested statistical modelling methods. The snow damage model and the derived wall-to-wall probability map were able to discriminate between the damage and no-damage cases on a good level. The model and the damage probability mapping approach identifies the drivers of and susceptibility factors to snow damage across forest landscapes. Moreover, it can be used to estimate the concurrent and future snow damage risks in forests, which informs practical forestry and decision-making regarding climate change mitigation and adaptation of forestry.

show abstract

“…The susceptibility of tree species to uprooting or steam breakage varies. Tree species with shallow roots (P. abies), lower stand density and high height/diameter are especially prone to wind damage (Meunier et al, 2002;Quine and Gardiner, 2007;Klopčič et al, 2009;Schmidt et al, 2010;Albrecht et al, 2010;Pukkala et al, 2016;Díaz-Yáñez et al, 2019).…”

Section: Windthrow Ice and Snow Break Vetrolom žLedolom In Snegolommentioning

confidence: 99%

The influence of abiotic and biotic disturbances on the protective effect of alpine forests against avalanches and rockfalls

Oven¹,

Žabota²,

Kobal³

2020

Acta Silvae et Ligni

View full text Add to dashboard Cite

Abiotic and biotic disturbances in alpine forests can reduce forest cover or change the structure of the forest and consequently reduce the protective effect of forest against natural hazards such as avalanches and rockfalls. In this review article, the effect of the main abiotic (forest fire, windthrow, ice break, snow break, avalanche and rockfall) and biotic (insects and pathogens) disturbances in protection forests are presented along with their potential influence on the protective effect of forest against avalanches and rockfalls. In general, natural disturbances negatively affect the protective effect of forest, especially in the case of large-scale and severe events, which in alpine areas are mostly caused by storms, bark beetle outbreaks, avalanches and forest fires. Climate change induced interactions between disturbances are expected to present challenges in the management of protection forests in the future. key words: natural disturbances, natural hazards, abiotic disturbances, biotic disturbances, protection forests, protective effect, stand parameters, rockfall, avalanche izvleček V gozdovih alpskega prostora lahko abiotske in biotske motnje vplivajo na porazdelitev in strukturo gozdov do te mere, da jim zmanjšajo varovalni učinek pred naravnimi nevarnostnimi, kot so snežni plazovi in skalni podori. V članku je zato predstavljen pregled glavnih vplivov abiotskih (gozdni požari, vetrolom, snegolom, žled, snežni plazovi in skalni podori) in biotskih (insekti in patogeni) motenj na varovalno in zaščitno funkcijo gozdov pred snežnimi plazovi in skalnimi podori. Naravne motnje na splošno negativno vplivajo na varovalni učinek gozda pred naravnimi nevarnostmi, še posebej v primeru veliko-površinskih dogodkov z visoko jakostjo poškodovanosti. Slednje so v alpskem prostoru najpogosteje posledica neviht, napada podlubnikov, snežnih plazov in gozdnih požarov. Podnebne spremembe in njihov vpliv na naravne motnje bodo v bodoče postale pomemben izziv pri upravljanju z gozdovi, ki opravljajo varovalno in zaščitno funkcijo. ključne besede: naravna motnja, naravne nevarnosti, varovalna in zaščitna funkcija gozda, varovalni učinek, sestojni parametri, skalni podor, snežni plaz GDK 907.32:38:42(045)=163.6 Prispelo / Received: 11.

show abstract

Modelling damage occurrence by snow and wind in forest ecosystems

Cited by 36 publications

References 55 publications

Tree- and stand-scale factors shape the probability of wind damage to birch in hemiboreal forests

Tree- and stand-scale factors shape the probability of wind damage to birch in hemiboreal forests

Mapping the probability of forest snow disturbances in Finland

The influence of abiotic and biotic disturbances on the protective effect of alpine forests against avalanches and rockfalls

Contact Info

Product

Resources

About