Evaluation of forest growth and carbon stock in forestry projects by system dynamics

Brazil is one of the largest producers of eucalyptus that is used for manufacturing pulp and paper; this contributes directly to the issue of carbon emissions. Reforestation of eucalyptus appears as a viable alternative for mitigating these carbon emissions, leveraging their high productivity to that of other leading countries in the market, such as Finland and Sweden. This study aims to develop a model for monitoring and evaluating forest growth and quantifying wood stocks and sequestered carbon. System dynamics was used to simulate forest growth. Forest growth was modeled from eight regions with dissimilar edaphoclimatic characteristics, in the state of Minas Gerais, in Brazil. The model was sensitive enough to the characteristics of the regions, where the difference in forest stocks was 45.1% at the end of 30 years in a harvest cycle of 7 years. It was found that the typical harvest cycle in practice by leading companies did not always yield a higher sequestered CO2 accumulated stock. By shortening the harvest cycle, it was possible to obtain a gain of up to 21.0% in the sequestered CO2 stock.

[1]  C. V. Kooten,et al.  Effect of carbon taxes and subsidies on optimal forest rotation age and supply of carbon services , 1995 .

[2]  Laura Schmitt Olabisi,et al.  The System Dynamics of Forest Cover in the Developing World: Researcher Versus Community Perspectives , 2010 .

[3]  Laura Sokka,et al.  Industrial symbiosis contributing to more sustainable energy use – an example from the forest industry in Kymenlaakso, Finland , 2011 .

[4]  R. Birdsey,et al.  OPTIMAL FOREST STAND MANAGEMENT WHEN BENEFITS ARE DERIVED FROM CARBON , 1994 .

[5]  M. Cannell.  Growing trees to sequester carbon in the UK: answers to some common questions , 1999 .

[6]  L. Rodriguez,et al.  Optimal rotations on Eucalyptus plantations including carbon sequestration- : A comparison of results in Brazil and Spain , 2006 .

[7]  W. Adamowicz,et al.  Joint production of timber, carbon, and wildlife habitat in the Canadian boreal plains , 2008 .

[8]  G. Scarpinella.  Reflorestamento no Brasil e o Protocolo de Quioto , 2002 .

[9]  Amy J. C. Trappey,et al.  An evaluation model for low carbon island policy: The case of Taiwan's green transportation policy , 2012 .

[10]  M. Hanewinkel,et al.  Modelling of forest conversion planning with an adaptive simulation-optimization approach and simultaneous consideration of the values of timber, carbon and biodiversity , 2009 .

[11]  W. Cropper,et al.  Forest management effects on in situ and ex situ slash pine forest carbon balance , 2010 .

[12]  Dacheng Liu,et al.  Study on Integrated Simulation Model of Economic, Energy and Environment Safety System under the low-carbon policy in Beijing , 2011 .

[13]  Gregg Marland,et al.  Carbon implications of forest management strategies , 1996 .

[14]  Jyoti Misra,et al.  Environmental risk mapping approach: risk minimization tool for development of industrial growth centres in developing countries , 2002 .

[15]  Abraf.  Anuário estatístico da ABRAF: ano base 2010 , 2006 .

[16]  R. Newell,et al.  Climate Change and Forest Sinks: Factors Affecting the Costs of Carbon Sequestration , 1999 .

[17]  A. Wolf,et al.  Using an optimization model to evaluate the economic benefits of industrial symbiosis in the forest industry , 2008 .

[18]  Attila Szolnoki,et al.  Averting group failures in collective-risk social dilemmas , 2012, ArXiv.

[19]  Attila Szolnoki,et al.  Risk-driven migration and the collective-risk social dilemma , 2012, Physical review. E, Statistical, nonlinear, and soft matter physics.

[20]  Carlos Romero,et al.  Optimal harvest scheduling in Eucalyptus plantations under a sustainability perspective , 2013 .

[21]  C. Pérez-Cruzado,et al.  A management tool for estimating bioenergy production and carbon sequestration in Eucalyptus globulus and Eucalyptus nitens grown as short rotation woody crops in north-west Spain , 2011 .

[22]  Ilan Vertinsky,et al.  Carbon sequestration and land management under uncertainty , 2001, Eur. J. Oper. Res..

[23]  Long Wang,et al.  Adaptive and Bounded Investment Returns Promote Cooperation in Spatial Public Goods Games , 2012, PloS one.

[24]  Sedat Keleş,et al.  Comparing multipurpose forest management with timber management, incorporating timber, carbon and oxygen values: A case study , 2008 .

[25]  Jiuping Xu,et al.  Using system dynamics for simulation and optimization of one coal industry system under fuzzy environment , 2011, Expert Syst. Appl..

[26]  Attila Szolnoki,et al.  Evolutionary dynamics of group interactions on structured populations: a review , 2013, Journal of The Royal Society Interface.

[27]  S. Keleş.  Forest optimisation models including timber production and carbon sequestration values of forest ecosystems: a case study , 2010 .

[28]  Carlos Romero,et al.  Forest management optimisation models when carbon captured is considered: a goal programming approach , 2003 .

[29]  Magnus Gustafsson,et al.  Business models for industrial ecosystems: a modular approach , 2012 .

[30]  G. Marland,et al.  Forest Management for Mitigation of CO2 Emissions: How Much Mitigation and Who Gets the Credits? , 1997 .

[31]  Prem Vrat,et al.  Application of a system dynamics approach for assessment and mitigation of CO2 emissions from the cement industry. , 2006, Journal of environmental management.

[32]  O. Masera,et al.  Forest management options for sequestering carbon in Mexico , 1995 .

[33]  Changsheng Li,et al.  Assessing productivity and carbon sequestration capacity of Eucalyptus globulus plantations using the process model Forest-DNDC: Calibration and validation , 2006 .

[34]  L. B. E. Veiga,et al.  Eco-industrial park development in Rio de Janeiro, Brazil: a tool for sustainable development , 2009 .

[35]  R. Sedjo,et al.  Economics of carbon sequestration in forestry , 1997 .

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

[37]  T. Lämås,et al.  A model for regional analysis of carbon sequestration and timber production , 2005 .

[38]  Um modelo de passo invariante baseado na função de Gompertz para prognose do crescimento , 2000 .

[39]  Ilan Vertinsky,et al.  Managing forest and marginal agricultural land for multiple tradeoffs: compromising on economic, carbon and structural diversity objectives , 2005 .

[40]  Stefan Seuring,et al.  From a literature review to a conceptual framework for sustainable supply chain management , 2008 .

[41]  Li He Chai,et al.  Physical principles and simulations on the structural evolution of eco-industrial systems , 2008 .

[42]  Nasrin R. Khalili,et al.  Application of multi-criteria decision analysis in design of sustainable environmental management system framework , 2013 .

[43]  Philippe A. Bonnefoy,et al.  Air transportation in a carbon constrained world: Long-term dynamics of policies and strategies for mitigating the carbon footprint of commercial aviation , 2011 .

[44]  Moosung Jae,et al.  A quantitative assessment of LCOs for operations using system dynamics , 2005, Reliab. Eng. Syst. Saf..

[45]  Birger Solberg,et al.  Greenhouse Gas Emissions and Costs over the Life Cycle of Wood and Alternative Flooring Materials , 2004 .

[46]  C. Woodcock,et al.  A regional forest ecosystem carbon budget model: impacts of forest age structure and landuse history , 2003 .

[47]  Márcio Lopes da Silva,et al.  Projeção do estoque de carbono e análise da geração de créditos em povoamentos de eucalipto , 2008 .

[48]  Peter E.D. Love,et al.  Methodological application of system dynamics for evaluating traffic safety policy , 2012 .

[49]  F. Boons,et al.  The dynamics of industrial symbiosis: A proposal for a conceptual framework based upon a comprehensive literature review , 2011 .

[50]  Christopher S. Galik,et al.  Forest Management Solutions for Mitigating Climate Change in the United States , 2008, Journal of Forestry.

[51]  Miroljub Kljajić,et al.  The relevance of facilitation in group decision making supported by a simulation model , 2011 .

[52]  Marian Chertow,et al.  INDUSTRIAL SYMBIOSIS: Literature and Taxonomy , 2000 .

[53]  T. Lämås,et al.  Modeling Carbon Sequestration and Timber Production in a Regional Case Study , 2006 .

[54]  J. Canadell,et al.  Managing Forests for Climate Change Mitigation , 2008, Science.

[55]  B. Solberg.  ECONOMIC ASPECTS OF FORESTRY AND CLIMATE CHANGE , 1998 .

[56]  K. Stave.  Using system dynamics to improve public participation in environmental decisions , 2002 .

[57]  F. C. Santos,et al.  Social diversity promotes the emergence of cooperation in public goods games , 2008, Nature.

[58]  James Baldwin,et al.  A non-equilibrium thermodynamic model of industrial development: analogy or homology? , 2004 .

[59]  H. Petersson,et al.  Carbon accounting and the climate politics of forestry , 2011 .

[60]  R. Sedjo.  Forests to Offset the Greenhouse Effect , 1989, Journal of Forestry.

[61]  Sameer Kumar,et al.  A system dynamics analysis of food supply chains - Case study with non-perishable products , 2011, Simul. Model. Pract. Theory.

[62]  Stefan Seuring,et al.  A review of modeling approaches for sustainable supply chain management , 2013, Decis. Support Syst..

[63]  B. Solberg,et al.  Conceptual issues related to carbon sequestration: uncertainty and time. , 1997 .

[64]  G. Mendoza,et al.  A system dynamics model for evaluating collaborative forest management: a case study in Indonesia , 2011 .

[65]  Attila Szolnoki,et al.  Coevolutionary Games - A Mini Review , 2009, Biosyst..

[66]  Nhung Nghiem,et al.  Optimal rotation age for carbon sequestration and biodiversity conservation in Vietnam , 2014 .

[67]  A. C. Santos,et al.  The balanced scorecard as an integrated model applied to the Portuguese public service: a case study in the waste sector , 2012 .

[68]  Sedat Keleş,et al.  Developing Alternative Forest Management Planning Strategies Incorporating Timber, Water and Carbon Values: An Examination of their Interactions , 2009 .

[69]  Jeremy Hall.  Environmental supply chain dynamics , 2000 .