Integration of component models from the tree, stand and regional levels to assess the risk of wind damage at forest margins

Talkkari, Ari; Peltola, Heli; Kellomäki, Seppo; Strandman, Harri

doi:10.1016/s0378-1127(00)00288-7

Cited by 73 publications

(56 citation statements)

References 15 publications

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“…By comparison, it may be noted that Talkkari et al (2000) and Blennow and Sallnäs (2000) tested the same approach and showed that these components had great potential for identifying actually damaged stands under given wind conditions. Talkkari et al (2000) also analysed the total area at risk at certain critical wind speeds (and the probability of wind damage). So far, few attempts have been made to study the effect of alternative forest management options (e.g.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, the risk of wind damage was very small or marginal (for all the Cases I-III), although critical wind speeds (10-min average speeds) predicted at around 15 m s À1 could cause actual damage under Finnish conditions (Laiho, 1987;Talkkari et al, 2000). So, the stands with risk probability larger than 0.1% were analysed in order to include all the possible damages.…”

Section: Discussionmentioning

confidence: 99%

“…The properties of the HWIND model, its parameters, inputs, and the validity of its outputs for podzol soil conditions in Finland have been discussed in detail earlier by Peltola et al (1999a), and Talkkari et al (2000).…”

Section: The Mechanistic Wind Damage Model Hwindmentioning

confidence: 99%

“…Therefore, the most basic questions in the planning of forest management are how new clear-cuttings and/or thinnings may affect the speed and direction of local airflow and how the wind hits the downwind forest (Peltola, 1996b;Peltola et al, 1999a;Talkkari et al, 2000). Neustein (1965), for example, has suggested that small clearings can reduce the sweep of wind within them.…”

Section: Introductionmentioning

confidence: 99%

“…Talkkari et al (2000), for example, integrated the mechanistic wind damage model HWIND (Peltola et al, 1999a) with the airflow model MS-Micro/3 (Walmsey et al, 1993) under Finnish conditions, andBlennow andSallnäs (2000) integrated HWIND with the WAsP airflow model (Mortensen et al, 2000) under Swedish conditions to test the ability to identify actually damaged stands at current forest edges. In both cases the integration of these component models seemed to have great potential for identifying the stands likely to suffer actual damage under given wind conditions.…”

Section: Introductionmentioning

confidence: 99%

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Influence of clear-cutting on the risk of wind damage at forest edges

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Peltola

Talkkari

et al. 2004

Forest Ecology and Management

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: The Mechanistic Wind Damage Model Hwindmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Influence of clear-cutting on the risk of wind damage at forest edges

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et al. 2004

Forest Ecology and Management

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Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape

Schwartz

Uriarte

DeFries

et al. 2017

Ecological Applications

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Tropical second-growth forests could help mitigate climate change, but the degree to which their carbon potential is achieved will depend on exposure to disturbance. Wind disturbance is common in tropical forests, shaping structure, composition, and function, and influencing successional trajectories. However, little is known about the impacts of extreme winds on second-growth forests in fragmented landscapes, though these ecosystems are often located in mosaics of forest, pasture, cropland, and other land cover types. Indirect evidence suggests that fragmentation increases risk of wind damage in tropical forests, but no studies have found such impacts following severe storms. In this study, we ask whether fragmentation and forest type (old vs. second growth) were associated with variation in wind damage after a severe convective storm in a fragmented production landscape in western Amazonia. We applied linear spectral unmixing to Landsat 8 imagery from before and after the storm, and combined it with field observations of damage to map wind effects on forest structure and biomass. We also used Landsat 8 imagery to map land cover with the goals of identifying old- and second-growth forest and characterizing fragmentation. We used these data to assess variation in wind disturbance across 95,596 ha of forest, distributed over 6,110 patches. We find that fragmentation is significantly associated with wind damage, with damage severity higher at forest edges and in edgier, more isolated patches. Damage was also more severe in old-growth than in second-growth forests, but this effect was weaker than that of fragmentation. These results illustrate the importance of considering landscape context in planning tropical forest restoration and natural regeneration projects. Assessments of long-term carbon sequestration potential need to consider spatial variation in disturbance exposure. Where risk of extreme winds is high, minimizing fragmentation and isolation could increase carbon sequestration potential.

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Modeling Natural Disturbances in Boreal Forests

Seidl

Fortin

Honkaniemi

et al. 2023

Advances in Global Change Research

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Natural disturbances such as wildfires, insect outbreaks, and windthrow are important processes shaping the structure and functioning of boreal forests. Disturbances are expected to intensify in the future, and this change will have profound consequences on the supply of ecosystem services to society. Consequently, models are needed to project future disturbance trajectories and quantify disturbance impacts on boreal forests. Here, we summarize key concepts of modeling natural disturbances in boreal forests. We focus specifically on disturbances from wildfire, wind and snow, and herbivores and discuss the different approaches used to capture their dynamics in models.

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Integration of component models from the tree, stand and regional levels to assess the risk of wind damage at forest margins

Cited by 73 publications

References 15 publications

Influence of clear-cutting on the risk of wind damage at forest edges

Influence of clear-cutting on the risk of wind damage at forest edges

Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape

Modeling Natural Disturbances in Boreal Forests

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