Modelling Forest Systems
Edited by A Amaro, Instituto Superior de Gestao, Lisbon, Portugal, D Reed, Michigan Technological University, USA; P Soares, Instituto Superior de Agronomia, Lisbon, Portugal
Pub Date: August 2003
Hardback
432 pages
Readership
Researchers in forestry, ecology and the environmental sciences.
Main Description
There are many theoretical approaches to modelling forest systems, but not all of them have valid practical applications. This book reviews current thinking on various models and explores a variety of areas and approaches. The papers in this book have been selected and developed from those presented at a workshop held in Portugal in June 2002.
The topics covered include: forest reality and modelling strategies; mathematical approaches and reasoning; estimation processes models; validation and decision under uncertainty and model archives and metadata.
The book will be of significant interest to those in areas of forestry, applied ecology, and statistics and economics.
Main Contents
Part I: Forest reality and modelling strategies
• Suggestions for choosing an appropriate level for modelling forest stands, H Burkhart, Virginia Tech, Blacksburg, USA
• Mapping forest site productivity for Alberta, R A Monserud, USDA, Portland, USA and S Huang, Forest Management Branch, Canada
• Growth modelling of Eucalyptus regnans for carbon accounting at the Landscape Scale, C Dean, CRC, Canberra, Australia, S Roxburgh and B Mackey
• Spatial distribution modelling of forest attributes coupling remotely sensed imagery and GIS techniques, G Chirici, Universita di Firenze, Italy, P C Corona, M Marchetti, F Marelli and L Bottai
• Algorithmic and interactive approaches to stand growth modelling, M Hauhs, University of Bayreuth, Germany
• Linking process-based and empirical forest models in Eucalyptus plantations in Brazil, A Almeida, R Maestri, Aracruz Xcelulos, SA, Brazil, J Landsberg and J Scolforo
• A strategy for growth and yield research in Komatiland Forests in South Africa, H Kotze, Komatiland Forests, South Africa
Part II: Mathematical approaches and reasoning
• Quantitative tools for modelling forest systems at different scales, R Amateis, Virginia Tech, USA
• GLOBTREE, an individual tree growth model for Eucalyptus globulas in Portugal, P Soares and M Tomι
• Modelling dominant height growth: effect of stand density, C Meredieu, INRA, France, S Perret and P Dreyfus
• Testing for temporal dependence of pollen cone production in jack pine (Pinus banksiana Lamb), S Magnussen, Canadian Forest Service, Canada, V Nealis and A Hopkin
• Spatial stochastic modelling of cone production from stone pine (Pinus pinea l) stands in the Spanish northern plateau, N Nanos, R Calama, CIFOR-INIA, Spain, N Canadas, C Garia and G Montero
• Modelling the carbon sequestration of a mixed, uneven-aged, managed forest using the process model SECRETS, G Deckmyn, University of Antwerp, Belgium, R Ceulemens, J Garcia and B Muys
• An allometric-weibull model for interpreting and predicting the dynamics of foiliage biomass on scots pine branches, R Fleming, Canadian Forest Service, Canada
• Diameter distribution models and height-diameter equations for Estonian forests, A Kiviste, Estonian Agricultural University, Estonia, A Nilson, M Hordo and M Merenδkk
• Modelling the diameter at breast height growth of Populus x euramericana plantations in Spain, F Rodriguez, Universirtat de Liedia, Spain, J De la Rosa and A Aunos
• Stand growth and productivity of mountain forests in southern Siberia in a changing climate, N M Tchebakova, Russian Academy of Sciences, Russia and E I Parfenova
Part III: Estimation Processes
• Estimation and application of size-biased distributions in forestry, J Gove, USDA, USA
• Sop model - the parameter estimation alternatives, A Amaro
• Evaluating estimation methods for logistic regression in modelling individual-tree mortality, V Alenius, Finnish Forest Research Institute, Finland, H Hokka, H Salminen and S Jutras
• Using process-dependent groups of species to model the dynamics on a tropical rain-forest, N Picard, CIRAD, Mali, S Gourlet-Fleury and P Sist
• Modelling current annual height increment of young Douglas-fir stands at different sites, P Radonja, Institute of Forestry, Yugoslavia
• Simulation and sustainability of cork oak stands, N Ribeiro, Universidade de Evora, Portugal and A Oliveira
Part IV: Models, validation and decision under uncertainty
• A critical look at procedures for validating growth and yield models, S Huang, Forest Management Branch, Canada, Y Yang and Y Wang
• Model testing by means of cost-plus-loss analyses, T Eid, Agricultural University of Norway
• Regulating the yield of goods and services from forests: Developing tools to support management decisions and policy development for multiple objective forest management, P van Gardingen, University of Edinburgh, UK
• CAPSIS: computer-aided projection for strategies in silviculture: advantages of a shared forest-modelling platform, F Coligny, INRA, France, P Ancelin, G Cornu, B Courbaud, P Drefus, F Goreaud, S Gourlet-Fleury, C Meredieu and L Saint-Andre
• Expected volume and value of structural dimension lumber from 25-, 30-, 35-, 40- and 50 year old loblolly pine plantation timber, H Carino, Auburn University, USA and E Biblis
• Comparing models for growth and management of forest tracts, J Colbert, USDA, USA, D Fekedulegn and M Schuckers
• Landscape visualization under three different forest growth simulators, F Knauft, University of Bayreuth, Germany
• How good is good enough: information quality needs for management decision-making, D Reed, Michigan Technological University, USA
Part V: Model archives and metadata
• Forest modelling: Conserving the past and building the future, K Rennolls, University of Greenwich, London, UK
• A logic approach to design specifications for integrated application of diverse models in forest ecosystem analysis, K Reynolds, USDA, USA
Part VI: Conclusions
• Emerging trends and future directions: a workshop synthesis, D Reed, A Amaro, R Amateis, Virginia Tech, USA, S Huang, Forest Management Branch, Canada and M Tomι
