Author
Timo Pukkala
Other affiliations: University of Windsor, Finnish Forest Research Institute, Northeast Forestry University ...read more
Bio: Timo Pukkala is an academic researcher from University of Eastern Finland. The author has contributed to research in topics: Forest management & Thinning. The author has an hindex of 55, co-authored 301 publications receiving 8858 citations. Previous affiliations of Timo Pukkala include University of Windsor & Finnish Forest Research Institute.
Topics: Forest management, Thinning, Forest inventory, Basal area, Scots pine
Papers published on a yearly basis
Papers
More filters
TL;DR: In this paper, a model for the probability of fire occurrence in forest stands of Catalonia was developed based on data from the Second Spanish National Forest Inventory (II IFN) and perimeters of the forest fires that occurred in Catalonia during a 12-year period that followed the II IFN measurement.
Abstract: The study presents a model for the probability of fire occurrence in forest stands of Catalonia. It was developed based on data from the Second Spanish National Forest Inventory (II IFN) and perimeters of the forest fires that occurred in Catalonia during a 12-year period that followed the II IFN measurement. The model was developed for forest planning, which means that the probability of fire was predicted from variables that are known in forest planning calculations. The model is suitable for both even-aged and uneven-aged stands, as well as pure and mixed stands. The variables included in the model represented easily measurable forest characteristics like elevation, tree size, stand structure and species composition. According to the model, the probability of a forest stand to become affected by forest fire increased with: lower altitudes, smaller diameters, larger basal areas, higher proportion of coniferous species and increasing variation in tree diameter. Although fire occurrence is a highly stochastic phenomenon, the model and all its parameters were significant, and the test results were consistent. The presented model can be used in stand and forest level optimizations that consider the effect of fire risk on optimal management. Resume - Modele de probabilite de feux pour des peuplements forestiers de Catalogne (Nord-Est de l'Espagne). Cette etude presente un modele pour les probabilites d'occurrence des feux dans des peuplements forestiers en Catalogne. Il a ete developpe sur la base de donnees du deuxieme Inventaire Forestier National Espagnol (II IFN) et des perimetres des feux de forets qui se sont produits en Catalogne pendant une periode de 12 ans qui a suivi les mesures du II IFN. Le modele a ete developpe pour la planification forestiere ce qui veut dire que la probabilite de feux etait predite a partir de variables qui etaient connues dans les calculs de planification forestiere. Le modele est approprie pour les peuplements equiennes et inequiennes, de meme que pour les peuplements purs ou les peuplements melanges. Les variables incluses dans le modele sont des caracteristiques facilement mesurables comme l'altitude, la dimension des arbres, la structure des peuplements et les especes constituant le peuplement. D'apres le modele, la probabilite qu'un peuplement forestier soit affecte par un feu augmente avec : une altitude basse, des petits diametres, des surfaces terrieres importantes, une forte proportion de coniferes et une augmentation de la variation du diametre des arbres. Bien que l'occurrence d'un feu soit un phenomene hautement stochastique, le modele et tous ses parametres etaient significatifs, et les resultats des tests etaient coherents. Le present modele peut etre utilise a pour des optimisations, l'echelle du peuplement ou de la foret, qui prennent en compte le risque de feu pour une gestion optimale. Key words: fire / model / forest stands / Catalonia Mots cles : feu / modelisation / peuplements forestiers / Catalogne Language: en
155 citations
TL;DR: Eucalyptus globulus Labill as discussed by the authors has been planted as the main tree species in the central highlands of Ethiopia since 1895, and the mean annual growth of E. globulus in fuelwood plantations varies between 10 and 30 m3 ha−1 year−1.
153 citations
TL;DR: The presented planning method searches for an optimal combination of treatment schedules for forest compartments by maximizing, in an iterative manner, an additive utility function.
Abstract: The presented planning method searches for an optimal combination of treatment schedules for forest compartments by maximizing, in an iterative manner, an additive utility function. The variables of the utility function can be selected from parameters that are associated to the whole forest area, such as; amount of removal, costs, income, or volume of the growing stock. Partial utility functions are developed for each objective variable the total utility being a weighted sum of the partial utilities. The weights of the objectives and the partial utility functions are estimated using the Analytic Hierarchy Process. Development and estimation of the utility function makes decision analysis an integral part of the planning process. The method was used with a non‐industrial private forest, but the approach is also applicable to many other forest planning situations.
139 citations
Potsdam Institute for Climate Impact Research1, Swedish University of Agricultural Sciences2, University of Lisbon3, ETH Zurich4, Institut national de la recherche agronomique5, International Sleep Products Association6, University of Barcelona7, University of Eastern Finland8, Wageningen University and Research Centre9, University of Natural Resources and Life Sciences, Vienna10, European Forest Institute11, University of Greifswald12, Katholieke Universiteit Leuven13, University of Freiburg14
TL;DR: This study shows that, in most cases, including disturbances in the simulations exaggerate ongoing productivity declines or cancel out productivity gains in response to climate change, so it is necessary to interpret climate change-induced productivity and disturbance changes jointly to capture the full range of climate change impacts on forests and to plan adaptation measures.
Abstract: Recent studies projecting future climate change impacts on forests mainly consider either the effects of climate change on productivity or on disturbances. However, productivity and disturbances are intrinsically linked because 1) disturbances directly affect forest productivity (e.g. via a reduction in leaf area, growing stock or resource-use efficiency), and 2) disturbance susceptibility is often coupled to a certain development phase of the forest with productivity determining the time a forest is in this specific phase of susceptibility. The objective of this paper is to provide an overview of forest productivity changes in different forest regions in Europe under climate change, and partition these changes into effects induced by climate change alone and by climate change and disturbances. We present projections of climate change impacts on forest productivity from state-of-the-art forest models that dynamically simulate forest productivity and the effects of the main European disturbance agents (fire, storm, insects), driven by the same climate scenario in seven forest case studies along a large climatic gradient throughout Europe. Our study shows that, in most cases, including disturbances in the simulations exaggerate ongoing productivity declines or cancel out productivity gains in response to climate change. In fewer cases, disturbances also increase productivity or buffer climate-change induced productivity losses, e.g. because low severity fires can alleviate resource competition and increase fertilization. Even though our results cannot simply be extrapolated to other types of forests and disturbances, we argue that it is necessary to interpret climate change-induced productivity and disturbance changes jointly to capture the full range of climate change impacts on forests and to plan adaptation measures.
134 citations
TL;DR: In this paper, the authors developed models which allow managers to simulate the growth and yield of uneven-sized stands in Finland, making it possible to predict the yield and analyze the sustainability of different management options.
133 citations
Cited by
More filters
TL;DR: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols used xiii 1.
Abstract: Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201
14,171 citations
01 Jan 2016
TL;DR: The modern applied statistics with s is universally compatible with any devices to read, and is available in the digital library an online access to it is set as public so you can download it instantly.
Abstract: Thank you very much for downloading modern applied statistics with s. As you may know, people have search hundreds times for their favorite readings like this modern applied statistics with s, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful virus inside their laptop. modern applied statistics with s is available in our digital library an online access to it is set as public so you can download it instantly. Our digital library saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Kindly say, the modern applied statistics with s is universally compatible with any devices to read.
5,249 citations
01 Jan 1990
TL;DR: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article, where the authors present an overview of their work.
Abstract: An overview of the self-organizing map algorithm, on which the papers in this issue are based, is presented in this article.
2,933 citations
TL;DR: The GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches are surveyed using a literature review and classification of articles from 1990 to 2004 and taxonomy of those articles is provided.
Abstract: The integration of GIS and multicriteria decision analysis has attracted significant interest over the last 15 years or so This paper surveys the GIS‐based multicriteria decision analysis (GIS‐MCDA) approaches using a literature review and classification of articles from 1990 to 2004 An electronic search indicated that over 300 articles appeared in refereed journals The paper provides taxonomy of those articles and identifies trends and developments in GIS‐MCDA
1,694 citations