Impacts of climate change on timber production and regional risks of wind-induced damage to forests in Finland

Peltola, Heli; Ikonen, Veli‐Pekka; Gregow, Hilppa; Strandman, Harri; Kilpeläinen, Antti; Venäläinen, Ari; Kellomäki, Seppo

doi:10.1016/j.foreco.2010.06.001

Cited by 97 publications

(77 citation statements)

References 29 publications

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“…We believe our windthrow tables provide a starting point for integrating windthrow into ecosystem carbon simulation. Our results represent stand-level simulations that could be incorporated into landscape-level simulators in studying forest landscape dynamics [39,40]. Wind-driven disturbances could be simulated concurrently and interactively with other landscape-scale disturbances such as wildfire.…”

Section: Discussionmentioning

confidence: 88%

Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds

Anyomi

Mitchell

Perera

et al. 2017

Forests

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Abstract:In Boreal North America, management approaches inspired by the variability in natural disturbances are expected to produce more resilient forests. Wind storms are recurrent within Boreal Ontario. The objective of this study was to simulate wind damage for common Boreal forest types for regular as well as extreme wind speeds. The ForestGALES_BC windthrow prediction model was used for these simulations. Input tree-level data were derived from permanent sample plot (PSP) data provided by the Ontario Ministry of Natural Resources. PSPs were assigned to one of nine stand types: Balsam fir-, Jack pine-, Black spruce-, and hardwood-dominated stands, and, Jack pine-, spruce-, conifer-, hardwood-, and Red and White pine-mixed species stands. Morphological and biomechanical parameters for the major tree species were obtained from the literature. At 5 m/s, predicted windthrow ranged from 0 to 20%, with damage increasing to 2 to 90% for winds of 20 m/s and to 10 to 100% for winds of 40 m/s. Windthrow varied by forest stand type, with lower vulnerability within hardwoods. This is the first study to provide such broad simulations of windthrow vulnerability data for Boreal North America, and we believe this will benefit policy decisions regarding risk management and forest planning.

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Section: Discussionmentioning

confidence: 88%

Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds

Anyomi

Mitchell

Perera

et al. 2017

Forests

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“…Trees in this study were more resistant to overturning in slope degree > 15°. Analysis of these data using our models indicated that the gentler slopes were attributable to a better root Anchorage (PELTOLA et al, 2010).…”

Section: Discussionmentioning

confidence: 89%

“…Thus, it has an important role in windthrow spreading (PELTOLA et al, 2010). The altitude map for the study area was prepared from the DEM and categorized into three classes according to expert knowledge and literature review, whereas wind damages prediction increased by increasing it (> 1,500 m).…”

Section: Discussionmentioning

confidence: 99%

Prediction Spatial Patterns of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression and Random Forest

Shabani

Moslem

2017

CERNE

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Forest management needs to evaluate various hazards where may cause economic or other losses to forest owners. The aim of this study is to prepare windthrow hazard maps based on logistic regression and random forest models in Nowshahr Forests, Mazandaran Province, Iran. First of all, 200 windthrow locations were identified from extensive field surveys and some reports. Out these, 140 (70%) locations were randomly selected as training data and the remaining 60 (30%) cases were used for the validation goals. In the next step, 10 predictive variables such as slope degree, slope aspect, altitude, Topographic Position Index (TPI), Topographic Wetness Index (TWI), distance to roads and skid trails, wind effect, soil texture, forest type and stand density were extracted from the spatial database. Subsequently, windthrow hazard maps were produced using logistic regression and RF models, and the results were plotted in ArcGIS. Finally, the area under the curves (AUC) and kappa coefficient were made for performance purposes. The validation of results presented that the area under the curve and kappa have a more accuracy for the random forest (97.5%, and 95%, respectively) than logistic regression (96.667%, and 93.333%, respectively) model. Therefore, this technique has more potentiality to be applied in the evaluation of windthrow phenomenon in forest ecosystems. Additionally, both models indicate that the spatial distribution of windthrow incidence likelihood is highly variable in this region. In general, the mentioned findings can be applied for management of future windthrow in favor of economic benefits and environmental preservation.

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“…Climate sensitive business like agriculture or food production and supply may be affected at a large scale (Haverkort & Verhagen, 2008). More specifically, assessments of the impact of climate change have been carried out for a plethora of cases like timber (Peltola, Ikonen, Gregow, Strandman, Kilpeläinen, Venäläinen et al, 2010), coffee (Gay, Estrada, Conde, Eakin, & Villers, 2006;Laderach, Lundy, Jarvis, Ramirez, Portilla, Schepp et al 2011) and rice production (Hasan, 2010). Integrated approaches assessing the carbon footprint of specific sectors have also been carried out.…”

Section: Literature Reviewmentioning

confidence: 99%

Supply chain management in view of climate change: an overview of possible impacts and the road ahead

Dasaklis

Pappis²

2013

JIEM

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Abstract:Purpose: The paper aims to provide a general overview of the impacts of climate change upon supply chains and to analyze the implications of climate change for supply chain management in terms of strategic and operational planning. A roadmap of fruitful research approaches is also presented.Design/methodology/approach: The paper makes use of a general review of the relevant literature and, based on a systematic categorization of the findings, looks for useful insights towards the issues of climate change and supply chain management. A framework is drawn for systematically assessing the impacts of climate change upon supply chains and their management, while making suggestions for future research. Practical implications: The paper provides several insights towards the issues of supply chain management in view of climate change and may serve as an initial basis for exploring future research directions by academics. Practitioners, especially those drafting value-creating supply chain agendas, may also find these insights useful for improving their managerial practices. Originality/value: By providing an original structured overview of the impacts of climate change upon supply chain design and operations management the paper substantiates the need for management improvements and provides research directions that may prove valuable to researchers.

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Impacts of climate change on timber production and regional risks of wind-induced damage to forests in Finland

Cited by 97 publications

References 29 publications

Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds

Windthrow Dynamics in Boreal Ontario: A Simulation of the Vulnerability of Several Stand Types across a Range of Wind Speeds

Prediction Spatial Patterns of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression and Random Forest

Supply chain management in view of climate change: an overview of possible impacts and the road ahead

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