1: Overview KM Reynolds, M Koehl, K Rennolls, M Shannon, A Thomson, and D Ray Section 1: Science and policy Chapter 1: Science is endogenous to sustainable forestry - implications for scientists and policy makers MA Shannon, G Buttoud, and R Paeivinen Chapter 2: Will linking science to policy lead to sustainable forestry? Lessons from the federal forests of the United States KN Johnson Chapter 3: Participation as a new mode of governance? Scientists and policy makers linked in a double spiral I Kouplevatskaya Chapter 4: The European Union sustainable forest management and climate change mitigation policies from a transition countries perspective M Nijnik and L Bizikova Chapter 5: Abee Chapter 6: Indicators for biodiversity of tropical forests: problems and solutions K Rennolls and KM Reynolds Chapter 7: Science-policy consultation as boundary spanning: The interaction of science and politics in two US bioregional assessments M Pregernig Chapter 8: Cluster organization in forestry: Supporting information and knowledge transfer in the practice, science and policy of sustainable forest management T Mrosek and A Schulte Chapter 9: Modelling public support for wildland fire policy JD Absher and JJ Vaske Chapter 10: Analysing institutions and public perspectives to identify the future of British forests M Nijnik and A Mather Chapter 11: Economic conservation - Hill Holt Wood: The three legs of sustainability in practiceN Lowthrop Section 2: Inventory and monitoring Chapter 12: Measuring sustainability using the US Forest Inventory and Analysis Program CT Scott and WH McWilliams Chapter 13: Vegetation diversity assessment in southern Belgium's permanent forest inventory C Sanchez, H Claessens, T Puissant, HLecomte and JRondeux Chapter 14: PractiSFM - An operational multi-resource inventory protocol for sustainable forest management F Barrett, M Nieuwenhuis and MJ Somers Chapter 15: The Importance of forest stand-level inventory to sustain multiple forest values in the presence of endangered species DL Johnson, KN Johnson and DW Hann Chapter 16: Forest land change assessment by continuous inventory P Corona, E Pompei and G Scarascia Mugnozza Chapter 17: A study on tree colonization of abandoned land in the Italian Alps: extent and some characteristics of new forest stands in Trentino F De Natale, P Gasparini and A Carriero Chapter 18: Using spatial statistics to improve the primary forestry supply chain JD Hamann and K Boston Chapter 19: Evaluation of commercial airborne LiDAR and SAR products to estimate top height and associated parameters in production forests in Britain E D Wallington and JC Suarez Section 3: Statistics and modelling Chapter 20: Potential contributions of statistics and modelling to sustainable forest management: review and synthesis K Rennolls, M Tome, RE McRoberts, JK Vanclay, V LeMay, BT Guan and GZ Gertner Chapter 21: Modelling forest ecosystems: the Edinburgh Forest ModelJHM Thornley Section 4: Information and knowledge management Chapter 22: Information and knowledge management for sustainable forestryAJ Thomson, HM Rauscher, DL Schmoldt and H Vacik Chapter 23: Integrating the DPSIR approach and the analytic network process for the assessment of forest management strategies H Vacik, B Wolfslehner, R Seidl and MJ Lexer Chapter 24: Establishment Management Information System [EMIS]: delivering good practice advice on tree establishment in the uplands of Britain MP Perks, AJ Harrison and SJ Bathgate Chapter 25: On chatbots and avatars - the Virtual Forester as a guide to knowledge about sustainable forest management A Reinbolz and M Hanewinkel Chapter 26: Information and knowledge management in support of sustainable forestry: a review HM Rauscher, DL Schmoldt and H Vacik Chapter 27: How should we manage knowledge ecosystems? Using adaptive knowledge management!AJ Thomson Chapter 28: An information retrieval system to support management of Habitats and Rare Priority and Protected Species (HaRPPS) in Britain D Ray and AC Broome Chapter 29: Decision support for sustainable forestry: enhancing the basic rational model HR Ekbia and KM Reynolds
