An integrated decision support framework for the prediction and evaluation of efficiency, environmental impact and total social cost of domestic and international forestry projects for greenhouse gas mitigation: description and case studies.

Abstract Land use, land use change and forestry (LULUCF) offer domestic and international opportunities to accomplish the targets set by the Kyoto Protocol. Design and selection of successful forestry projects are complex decision processes based on information of the carbon dioxide mitigation potential, the environmental impacts and the cost efficiency of selected scenarios. In this paper, a decision support framework to evaluate forestry scenarios for greenhouse gas emission reduction is presented and tested on five scenarios (existing and new multifunctional forest in Flanders, Belgium, bioenergy crop with short rotation poplar and with elephant grass in Flanders, Belgium, plantation forestry in the subtropics, and, conservation of tropical rainforest). The framework is organized as a serial connection of a carbon accounting module, an environmental impact module and an economic module. Modules include a combination of models and quantitative assessment procedures. In order to make scenarios comparable, the environmental and economic modules calculate their outputs on a functional unit basis of 1 t CO2 emission reduction. The framework is universally applicable and straightforward, transparent and quantitative. The level of data requirement is medium, but the application is fairly complex due to the interdisciplinary character of the tool. Further developments would require automated data flows between models and a user interface. Results of the test application showed that the only attractive domestic option is the establishment of new multifunctional forests. This scenario even yields a net benefit because it replaces the generally loss-making agriculture and, in addition, it provides other environmental and recreational benefits. The establishment of bioenergy plantations is a very efficient way of reducing CO2 emissions as far as land occupation and environmental impacts per functional unit are concerned. However, it also turns out to be a very expensive option. Plantation forestry in the tropics is advantageous when evaluated over longer periods of time. Conservation of tropical forest is not eligible as a clean development mechanism (CDM) project, although it would be economically attractive for Flanders since the cost per tonne CO2 emission reduction is close to the expected world market price. This option is thus promising for the voluntary market and for future commitment periods of the Kyoto Protocol.

[1]  Ernst-Detlef Schulze,et al.  Carbon and Nitrogen Cycling in European Forest Ecosystems , 2000, Ecological Studies.

[2]  Henri Moll,et al.  Proceedings of the International Conference on Life Cycle Assessment in Agriculture, Agro-Industry and Forestry , 1998 .

[3]  M. Bonell,et al.  The development of overland flow in a tropical rainforest catchment , 1978 .

[4]  Bart Muys,et al.  A critical evaluation of environmental assessment tools for sustainable forest management , 1998 .

[5]  J. Bogaert,et al.  Topics in ecology: structure and function in plants and ecosystems , 2000 .

[6]  P. Fearnside.  SAVING TROPICAL FORESTS AS A GLOBAL WARMING COUNTERMEASURE: AN ISSUE THAT DIVIDES THE ENVIRONMENTAL MOVEMENT , 2001 .

[7]  G. Marland,et al.  The role of forest and bioenergy strategies in the global carbon cycle , 1996 .

[8]  Aaldrik Tiktak,et al.  Review of sixteen forest-soil-atmosphere models , 1995 .

[9]  Pol Coppin,et al.  Ecosystem exergy as indicator of land use impact in LCA , 2001 .

[10]  R. Layard,et al.  Cost-Benefit Analysis: THEORETICAL ISSUES , 1994 .

[11]  Pol Coppin,et al.  Energy budget and greenhouse gas balance evaluation of sustainable coppice systems for electricity production , 2003 .

[12]  Jan Čermák,et al.  Above- and belowground phytomass and carbon storage in a Belgian Scots pine stand , 1999 .

[13]  R. Ceulemans,et al.  Production physiology and growth potential of poplars under short-rotation forestry culture , 1999 .

[14]  P. Fearnside.  Uncertainty in land-use change and forestry sector mitigation options for global warming: Plantation silviculture versus avoided deforestation , 2000 .

[15]  B. Muys,et al.  Ecological sustainability assessment of carbon conservation, sequestration and substitution projects using the exergy concept , 2003 .

[16]  Keryn I. Paul,et al.  Sensitivity analysis of predicted change in soil carbon following afforestation , 2003 .

[17]  Govinda R. Timilsina,et al.  The additionality criterion for identifying clean development mechanism projects under the Kyoto Protocol , 2002 .

[18]  Bart Muys,et al.  Poplar growth and yield in short rotation coppice: model simulations using the process model SECRETS , 2004 .

[19]  J. Schellekens.  Hydrological processes in a humid tropical rain forest: a combined experimental and modelling approach , 2000 .

[20]  Bernadette Bensaude‐Vincent.  Atomism and Positivism: A Legend about French Chemistry , 1999 .

[21]  M. Aubinet,et al.  Modelling short-term CO2 fluxes and long-term tree growth in temperate forests with ASPECTS , 2001 .

[22]  R. Ceulemans,et al.  Simulated soil CO2 efflux and net ecosystem exchange in a 70-year-old Belgian Scots pine stand using the process model SECRETS , 2001 .

[23]  O. Masera,et al.  CO2fix for Windows : a dynamic model of the CO2-fixation in forests; Version 1.2 , 1999 .

[24]  Omar Masera,et al.  Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach , 2003 .

[25]  John Clifton-Brown,et al.  Miscanthus : European experience with a novel energy crop , 2000 .

[26]  Erwin H. Bulte,et al.  The Economics of Nature: Managing Biological Assets , 2000 .

[27]  M. Kirschbaum,et al.  CenW, a forest growth model with linked carbon, energy, nutrient and water cycles , 1999 .

[28]  Bart Muys,et al.  The assessment of environmental impacts caused by land use in the Life Cycle Assessment of forestry and forest products , 2001 .

[29]  Paula Soares,et al.  Modelling Forest Systems , 2003 .

[30]  Bart Muys,et al.  Scenario's voor broeikasgasreductie door vastlegging van koolstof en energiesubstitutie: Ruimtebeslag, milieu-impact en kostenefficiëntie , 2002 .

[31]  Bo Hektor,et al.  Cost effectiveness of measures for the reduction of net accumulation of carbon dioxide in the atmosphere , 1998 .

[32]  L. Vesterdal,et al.  Change in soil organic carbon following afforestation of former arable land , 2002 .

[33]  B. Muys,et al.  Modelling the carbon sequestration of a mixed, uneven-aged, managed forest using the process model SECRETS. , 2003 .

[34]  E. Barbier,et al.  The Economics of Tropical Deforestation , 2002 .

[35]  Riccardo Valentini,et al.  The long way from Kyoto to Marrakesh: Implications of the Kyoto Protocol negotiations for global ecology , 2002 .

[36]  R. Dewar,et al.  Increased understanding of nutrient immobilization in soil organic matter is critical for predicting the carbon sink strength of forest ecosystems over the next 100 years. , 2001, Tree physiology.

[37]  H. Scholes.  Can energy crops become a realistic CO2 mitigation option in south west England , 1998 .