Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes

Krejčí, Lukáš; Kolejka, Jaromír; Voženílek, Vít; Machar, Ivo

doi:10.3390/f9020096

Cited by 18 publications

(10 citation statements)

References 78 publications

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“…There was a focus on increasing even-aged coniferous plantations by reducing the numbers of broadleaved trees and the area of uneven-aged forests [1,2]. However, the coniferous monocultures were often negatively affected by climate change [3], insects and natural disturbances, such as windthrow [4], and they often degraded soils and decreased site productivity. By the end of the 20th century, forest managers started to convert many conifer monoculture plantations into mixed species forests, sometimes together with broadleaved species.…”

Section: Introductionmentioning

confidence: 99%

Species Mixing Effects on Forest Productivity: A Case Study at Stand-, Species- and Tree-Level in the Netherlands

Mohren

Rı́o

et al. 2018

Forests

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Many monoculture forests have been converted to mixed-species forests in Europe over the last decades. The main reasons for this conversion were probably to increase productivity, including timber production, and enhance other ecosystem services, such as conservation of biodiversity and other nature values. This study was done by synthesizing results from studies carried out in Dutch mixed forests compared with monoculture stands and evaluating them in the perspective of the current theory. Then we explored possible mechanisms of higher productivity in mixed stands, in relation to the combination of species, stand age and soil fertility, and discussed possible consequences of forest management. The study covered five two-species mixtures and their corresponding monoculture stands from using long-term permanent forest plots over multiple decades as well as two inventories (around 2003 and 2013) across the entire Netherlands. These forest plot data were used together with empirical models at total stand level, species level and tree level. Overyielding in Douglas-fir–beech and pine–oak mixtures was maintained over time, probably owing to the intensive thinning and was achieved on the poorer soils. However, this overyielding was not always driven by fast-growing light-demanding species. On individual tree level, intra-specific competition was not necessarily stronger than inter-specific competition and this competitive reduction was less seen at lower soil fertility and dependent on species mixtures. Moreover, size-asymmetric competition for light was more associated with tree basal area growth than size-symmetric competition for soil resources. Overall, this study suggests a substantial potential of species mixing for increasing productivity and implies developing forest management strategies to convert monospecific forests to mixed-species forests that consider the complementarity in resource acquisition of tree species.

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Section: Introductionmentioning

confidence: 99%

Species Mixing Effects on Forest Productivity: A Case Study at Stand-, Species- and Tree-Level in the Netherlands

Mohren

Rı́o

et al. 2018

Forests

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“…Technological advances were connected to assessing forest damages either through remote sensing as an efficient tool involving high resolution optical EO data (Einzmann, 2017) or through a two-stage sampling plan using single date, post-event ALS data (airborne laser scanning) (Chirici et al, 2018). At the same time, integrating logistic regression into GIS to assess wind disturbance forest vulnerability (Lukas Krejci et al, 2018) was part of the process.…”

Section: Introductionmentioning

confidence: 99%

Integrating forest windthrow assessment data in the process of windscape reconstruction: Case of the extratropical storms downscaled for the Gutai Mountains (Romania)

Ilies

Ilieș

Hotea

et al. 2022

Front. Environ. Sci.

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Downscaling and modeling natural disturbances such as the extratropical storms are important for understanding and predicting the behavior of the air flow over complex forested areas, especially in high wind instances that cause damages. Therefore, the rationale of the research was that the windscape of a storm could be reconstructed based on the features of consequent forest windthrows. Main input data for the model were derived from data on forest damages (extension, orientation, and depth of windthrows) retrieved from combined UAV imagery, high-resolution imagery, and field survey, integrated with terrain, wind data at stations within the study area, land cover, overturning and breaking point conditions for tree species, and human interventions. Using a GIS environment, a critical wind speed index was calculated, as well as the main wind direction on each damaged stand, considering the factors that lead to windthrows. This model was then compared to a computational fluid dynamics wind model built with WindNinja app, using the conservation of mass and momentum solver, at the moment of the storm, and adjusted. Ultimately, maps and 3D models were presented to the main stakeholders in the area, namely, forest management, protected area operatives, and road and tourist infrastructures’ management in order to enhance the resilience strategies and environmental protection.

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“…For example, TM generally increases with tree size and does not differ significantly across species for similar sized trees (Cannon et al 2015). A large variety of model approaches have been used in previous research, such as logistic regression models, Cox hazard proportion regression model and neural networks (Kamimura et al 2013, Hanewinkel 2015, Krejci et al 2018. In general, all models determine the factors impacting TM and establish suitable equations for predicting TM at the moment of tree failure (uprooting or stem breakage).…”

Section: Introductionmentioning

confidence: 99%

A N C H O R a G E a N D S Ta B I L I T Y O F T H R E E M a J O R Plantation Forest Species in Vietnam

Nguyen¹,

Fukui²,

Iwama³

et al. 2021

JTFS

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Pulling experiments were conducted to determine the mechanical resistance of trees to overturning. We selected two different sites in Vietnam with three major plantation forest species (Acacia hybrid, Eucalyptus urophylla and Pinus caribaea) to determine the correlation between tree stability or stembase inclination index (stiffness index, SI) and tree characteristics (e.g. tree size, tree species, DBH and height), and site conditions. Statistical analyses based on Cox regression model and generalised linear mixed models (GLMMs) showed that tree stability was strongly affected by tree characteristics and site. There was a positive relationship between the risk of tree failure and tree size, in which tree size was the best indicator for all models (Akaike information criterion of 180, p < 0.05), and the tree resistance probability to uprooting increased as tree size increased. In addition, the hazard ratio varied significantly among sites, and between A. hybrid and E. urophylla. It was also found that the SI increased with increased tree size and was highly affected by species. The study confirmed that site conditions affected tree species vulnerability, induced by wind damage, and provided information for further development of mechanistic wind damage risk assessment models for each specific tree species, especially in the tropical forest.

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Application of GIS to Empirical Windthrow Risk Model in Mountain Forested Landscapes

Cited by 18 publications

References 78 publications

Species Mixing Effects on Forest Productivity: A Case Study at Stand-, Species- and Tree-Level in the Netherlands

Species Mixing Effects on Forest Productivity: A Case Study at Stand-, Species- and Tree-Level in the Netherlands

Integrating forest windthrow assessment data in the process of windscape reconstruction: Case of the extratropical storms downscaled for the Gutai Mountains (Romania)

A N C H O R a G E a N D S Ta B I L I T Y O F T H R E E M a J O R Plantation Forest Species in Vietnam

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