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Modelling forest systems. Workshop on the interface between reality, modelling and the parameter estimation processes, Sesimbra, Portugal, 2-5 June 2002.

Book cover for Modelling forest systems. Workshop on the interface between reality, modelling and the parameter estimation processes, Sesimbra, Portugal, 2-5 June 2002.

Description

This book, containing 34 papers presented at a workshop held in Portugal in June 2002, reviews current thinking on various models and presents applications in several contexts in relation to forest ecosystems. Topics covered include: forest reality and modelling strategies; mathematical approaches and reasoning; estimation processes and models; validation and decision making under uncertainty; and...

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Chapter 13 (Page no: 143)

Modelling the carbon sequestration of a mixed, uneven-aged, managed forest using the process model SECRETS.

Currently there is a high demand for knowledge on the actual and attainable C sequestration in existing forests, and the influence of forest management thereon. Although process models have proved their worth in simulating and forecasting growth and yield of even-aged, single-species, regularly spaced forests, their applicability to uneven-aged, mixed-species, patchy forests is less well documented. By describing a complex forest as a combination of multiple simple patches, it is possible to simulate the total ecosystem with a relatively small number of parameters. In this case study, the process model SECRETS was adapted and parameterized to simulate C sequestration in the different compartments (both above- and below-ground) of Meerdaalwoud, a mixed deciduous-coniferous forest in central Belgium. The current management consists of an increase in untouched forest reserve area (to 10% of the total area) and a gradual replacement of exotic species (several pine species) with native species managed in a low-impact silvicultural system. The results indicate that SECRETS is able both to simulate the current yield and to predict the future effect of current changes in management. The results indicate that a gradual change from the current situation to a more natural one will increase C content of the ecosystem by 22.9 t/ha under current climatic conditions or 46.5 t/ha under a global climate change scenario over the next 150 years. Although forest productivity will decline slightly (from 5.9 to 5.3 t ha/year), the sequestration in wood products will increase slightly. This is, however, not due to a larger proportion of long-lived wood products from oak [Quercus] and beech [Fagus] forest, but to a change in age-class structure. Under global climate change conditions, carbon stocks in soil, biomass and wood products are predicted to increase. The use of small-sized timber as a fuel, substituting for fossil fuels, can significantly increase the total carbon sequestration in the forest.

Other chapters from this book

Chapter: 1 (Page no: 3) Suggestions for choosing an appropriate level for modelling forest stands. Author(s): Burkhart, H. E.
Chapter: 2 (Page no: 11) Mapping lodgepole pine site index in Alberta. Author(s): Monserud, R. A. Huang ShongMing
Chapter: 3 (Page no: 27) Growth modelling of Eucalyptus regnans for carbon accounting at the landscape scale. Author(s): Dean, C. Roxburgh, S. Mackey, B.
Chapter: 4 (Page no: 41) Spatial distribution modelling of forest attributes coupling remotely sensed imagery and GIS techniques. Author(s): Chirici, G. Corona, P. Marchetti, M. Maselli, F. Bottai, L.
Chapter: 5 (Page no: 51) Algorithmic and interactive approaches to stand growth modelling. Author(s): Hauhs, M. Knauft, F. J. Lange, H.
Chapter: 6 (Page no: 63) Linking process-based and empirical forest models in eucalyptus plantations in Brazil. Author(s): Almeida, A. C. Maestri, R. Landsberg, J. J. Scolforo, J. R. S.
Chapter: 7 (Page no: 75) A strategy for growth and yield research in pine and eucalypt plantations in Komatiland Forests in South Africa. Author(s): Kotze, H.
Chapter: 8 (Page no: 87) Quantitative tools and strategies for modelling forest systems at different scales. Author(s): Amateis, R. L.
Chapter: 9 (Page no: 97) GLOBTREE: an individual tree growth model for Eucalyptus globulus in Portugal. Author(s): Soares, P. Tomé, M.
Chapter: 10 (Page no: 111) Modelling dominant height growth: effect of stand density. Author(s): Meredieu, C. Perret, S. Dreyfus, P.
Chapter: 11 (Page no: 123) Testing for temporal dependence of pollen cone production in jack pine (Pinus banksiana Lamb.). Author(s): Magnussen, S. Quintana, F. A. Nealis, V. Hopkin, A. A.
Chapter: 12 (Page no: 131) Spatial stochastic modelling of cone production from stone pine (Pinus pinea L.) stands in the Spanish Northern Plateau. Author(s): Nanos, N. Calama, R. Cañadas, N. García, C. Montero, G.
Chapter: 14 (Page no: 157) An allometric-Weibull model for interpreting and predicting the dynamics of foliage biomass on Scots pine branches. Author(s): Fleming, R. A. Burns, T. R.
Chapter: 15 (Page no: 169) Diameter distribution models and height-diameter equations for Estonian forests. Author(s): Kiviste, A. Nilson, A. Hordo, M. Merenäkk, M.
Chapter: 16 (Page no: 181) Modelling the diameter at breast height growth of Populus × euramericana plantations in Spain. Author(s): Rodríguez, F. Rosa, J. A. de la Aunós, A.
Chapter: 17 (Page no: 189) Stand growth and productivity of mountain forests in Southern Siberia in a changing climate. Author(s): Tchebakova, N. M. Parfenova, E. I.
Chapter: 18 (Page no: 201) Estimation and applications of size-biased distributions in forestry. Author(s): Gove, J. H.
Chapter: 19 (Page no: 213) The SOP model: the parameter estimation alternatives. Author(s): Amaro, A.
Chapter: 20 (Page no: 225) Evaluating estimation methods for logistic regression in modelling individual-tree mortality. Author(s): Alenius, V. Hökkä, H. Salminen, H. Jutras, S.
Chapter: 21 (Page no: 237) Using process-dependent groups of species to model the dynamics of a tropical rainforest. Author(s): Picard, N. Gourlet-Fleury, S. Sist, P.
Chapter: 22 (Page no: 249) Modelling current annual height increment of young Douglas-fir stands at different sites. Author(s): Radonja, P. J. Koprivica, M. J. Lavadinovic, V. S.
Chapter: 23 (Page no: 259) Simulation and sustainability of cork oak stands. Author(s): Ribeiro, N. de A. Oliveira, Â. C. Surovy, P. Pretzsch, H.
Chapter: 24 (Page no: 271) A critical look at procedures for validating growth and yield models. Author(s): Huang, S. Yang, Y. Wang, Y.
Chapter: 25 (Page no: 295) Model testing by means of cost-plus-loss analyses. Author(s): Eid, T.
Chapter: 26 (Page no: 307) Regulating the yield of goods and services from forests: developing tools to support management decisions and policy development for multiple objective forest management. Author(s): Gardingen, P. R. van
Chapter: 27 (Page no: 319) CAPSIS: computer-aided projection for strategies in silviculture: advantages of a shared forest-modelling platform. Author(s): Coligny, F. de Ancelin, P. Cornu, G. Courbaud, B. Dreyfus, P. Goreaud, F. Gourlet-Fleury, S. Meredieu, C. Saint-André, L.
Chapter: 28 (Page no: 325) Expected volume and value of structural-dimension lumber from 25-, 30-, 35-, 40- and 50-year-old loblolly pine plantation timber. Author(s): Carino, H. F. Biblis, E. J.
Chapter: 29 (Page no: 335) Comparing models for growth and management of forest tracts. Author(s): Colbert, J. J. Schuckers, M. Fekedulegn, D.
Chapter: 30 (Page no: 347) Landscape visualization with three different forest growth simulators. Author(s): Knauft, F. J.
Chapter: 31 (Page no: 359) How good is good enough? Information quality needs for management decision making. Author(s): Reed, D. D. Jones, E. A.
Chapter: 32 (Page no: 369) Forest modelling: conserving the past and building the future. Author(s): Rennolls, K.
Chapter: 33 (Page no: 379) A logic approach to design specifications for integrated application of diverse models in forest ecosystem analysis. Author(s): Reynolds, K. M.