Forecasting forest futures : a hybrid modelling approach to the assessment of sustainability of forest ecosystems and their values / / by Kim Scoullar, Brad Seely, Clive Welham, Hamish Kimmins and Juan A. Blanco |
Autore | Scoullar Kim |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Routledge, an imprint of Taylor and Francis, , 2010 |
Descrizione fisica | 1 online resource (294 p.) |
Disciplina | 634.9/2 |
Collana | The Earthscan forest library |
Soggetto topico |
Forest ecology - Simulation methods
Forest management Sustainable forestry |
Soggetto genere / forma | Electronic books. |
ISBN |
1-136-53215-3
1-282-78979-1 9786612789793 1-84977-643-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Forecasting Forest Futures; Copyright Page; Contents; Preface; Acknowledgements; List of Abbreviations; 1. Introduction: Why do we Need Ecosystem-Level Models as Decision-Support Tools in Forestry?; Introduction; Human population growth: the ultimate environmental threat to the world's forests; The failure of science to provide the necessary analytical and forecasting tools for resource management: the question of complexity and prediction; Complexity and prediction in forestry: levels of biological organization and integration
The role of process-based, ecosystem-level hybrid simulation models as a component of the solution to problems posed by complexity in forestryTake-home message; Additional material; Notes; Notes; 2. Ecological and Environmental Concepts that should be Addressed in Forestry Decision-Support tools; Introduction; The problem of uncritical use of, or failure to define, termscommonly used in environmental debates about forestry: the dangers posed by the anthropomorphizing of ecosystems; Ecosystem stability; Ecosystem resilience; Ecosystem health; Forest ecosystem integrity Are ecosystems 'complex adaptive systems'?Old growth; Dangers of the misuse of terminology: feeding inappropriate belief systems; Take-home message; Additional material; 3. Hybrid Simulation in the Context of Other Classes of Forest Models, and the Development of the FORECAST Family of Hybrid Simulation Models; Introduction; A three-level classification of models; Brief history of the development of these three categories; The FORECAST-HORIZON family of hybrid simulation models; Major categories of hybrid simulation models we have developed; Take-home message; Additional material 4. Forestry in Transition: The Need for Individual Tree ModelsIntroduction; The ideal individual tree model; Individual tree models as management tools; FORCEE: a comprehensive, spatially explicit, individual tree management and agroforestry model; Take-home message; Additional material; 5. Stand-Level Hybrid Models as Tools to Support Ecosystem-Based Management; Introduction; Classification of stand-level hybrid models; Description of the hybrid modelling approach employed in FORECAST; Overview of FORECAST evaluation studies; Applications of FORECAST; Development of FORECAST, Climate Take-home messageAdditional material; 6. Landscape-Level Models in Forest Management; Introduction; Development of landscape-level models for forest management; The LLEMS model: a multi-value, local landscape extension of FORECAST for variable retention harvesting; Example application of LLEMS to evaluate dispersed retention alternatives; Ongoing development; Take-home message; Additional material; 7. Educational Models in Forest Management; Introduction; The use of ecological models as educational tools; FORTOON: a high-school-level, introductory, multiple-value forest management game PFF: Possible Forest Futures |
Record Nr. | UNINA-9910459536003321 |
Scoullar Kim | ||
Boca Raton, FL : , : Routledge, an imprint of Taylor and Francis, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Forecasting forest futures : a hybrid modelling approach to the assessment of sustainability of forest ecosystems and their values / / by Kim Scoullar, Brad Seely, Clive Welham, Hamish Kimmins and Juan A. Blanco |
Autore | Scoullar Kim |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton, FL : , : Routledge, an imprint of Taylor and Francis, , 2010 |
Descrizione fisica | 1 online resource (294 p.) |
Disciplina | 634.9/2 |
Collana | The Earthscan forest library |
Soggetto topico |
Forest ecology - Simulation methods
Forest management Sustainable forestry |
ISBN |
1-136-53214-5
1-136-53215-3 1-282-78979-1 9786612789793 1-84977-643-1 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Front Cover; Forecasting Forest Futures; Copyright Page; Contents; Preface; Acknowledgements; List of Abbreviations; 1. Introduction: Why do we Need Ecosystem-Level Models as Decision-Support Tools in Forestry?; Introduction; Human population growth: the ultimate environmental threat to the world's forests; The failure of science to provide the necessary analytical and forecasting tools for resource management: the question of complexity and prediction; Complexity and prediction in forestry: levels of biological organization and integration
The role of process-based, ecosystem-level hybrid simulation models as a component of the solution to problems posed by complexity in forestryTake-home message; Additional material; Notes; Notes; 2. Ecological and Environmental Concepts that should be Addressed in Forestry Decision-Support tools; Introduction; The problem of uncritical use of, or failure to define, termscommonly used in environmental debates about forestry: the dangers posed by the anthropomorphizing of ecosystems; Ecosystem stability; Ecosystem resilience; Ecosystem health; Forest ecosystem integrity Are ecosystems 'complex adaptive systems'?Old growth; Dangers of the misuse of terminology: feeding inappropriate belief systems; Take-home message; Additional material; 3. Hybrid Simulation in the Context of Other Classes of Forest Models, and the Development of the FORECAST Family of Hybrid Simulation Models; Introduction; A three-level classification of models; Brief history of the development of these three categories; The FORECAST-HORIZON family of hybrid simulation models; Major categories of hybrid simulation models we have developed; Take-home message; Additional material 4. Forestry in Transition: The Need for Individual Tree ModelsIntroduction; The ideal individual tree model; Individual tree models as management tools; FORCEE: a comprehensive, spatially explicit, individual tree management and agroforestry model; Take-home message; Additional material; 5. Stand-Level Hybrid Models as Tools to Support Ecosystem-Based Management; Introduction; Classification of stand-level hybrid models; Description of the hybrid modelling approach employed in FORECAST; Overview of FORECAST evaluation studies; Applications of FORECAST; Development of FORECAST, Climate Take-home messageAdditional material; 6. Landscape-Level Models in Forest Management; Introduction; Development of landscape-level models for forest management; The LLEMS model: a multi-value, local landscape extension of FORECAST for variable retention harvesting; Example application of LLEMS to evaluate dispersed retention alternatives; Ongoing development; Take-home message; Additional material; 7. Educational Models in Forest Management; Introduction; The use of ecological models as educational tools; FORTOON: a high-school-level, introductory, multiple-value forest management game PFF: Possible Forest Futures |
Record Nr. | UNINA-9910785134703321 |
Scoullar Kim | ||
Boca Raton, FL : , : Routledge, an imprint of Taylor and Francis, , 2010 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|