Multi-objective Forest PlanningTimo Pukkala Springer Science & Business Media, 29 de jun. de 2013 - 208 páginas Most of the scientific methods devised for forest planning support timber production ignoring the existence of forest functions other than wood production. Fortunately, the realisation that the forest planning methods available today do not correspond to the needs of today's forestry has activated forest researchers to develop and adopt new methodologies and approaches, which are specifically aimed at multi-objective situations. This book is about the quantitative approach to multi-objective forest planning. The emphasis is on topics that are rather new and not yet systematically applied in forest planning practice. The topics and methodologies discussed in this book include: measurement of preferences, multiple criteria decision analysis, use of GIS to support multi-objective forest management, heuristic optimization, spatial optimisation, and the measurement of non-wood forest outputs. By reading the book, a planning specialist, student or a researcher will get an insight into some of the current developments in forest planning research. |
Conteúdo
| 1 | |
Alho P Korhonen and P Leskinen | 20 |
J Kangas and A Kangas | 37 |
G A Mendoza and R Prabhu | 71 |
P A Kwaku Kyem | 99 |
J G Borges H M Hoganson and A O Falcão | 119 |
K Öhman | 153 |
T Pukkala | 173 |
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adjacency constraints algorithm Analytic Hierarchy Process application approach assessment biodiversity biodiversity score calculated computational core area criteria and indicators criterion decision alternatives decision analysis decision maker decision support defined developed ecological economic ecosystem Environmental Equation evaluation example factors forest management scheduling Forest Science forestry fuzzy genetic algorithms goal programming goals habitat harvest scheduling heuristic Hoganson important Kangas Kluwer Academic Publishers landscape Leskinen linear programming management option mathematical programming maximised measurement scale Mendoza multi-attribute utility theory multi-criteria Multi-Criteria Decision Analysis multiple criteria natural resources numerical optimisation objective function objective variable old forest Operational Research optimal pairwise comparisons planning model planning problems Prabhu preferences priority procedure PROMETHEE Pukkala ranking recreation Saaty Salminen simulated annealing solution solving species stand strategy SWOT tabu search techniques threshold timber production treatment schedules uncertainty University of Joensuu utility function volume voting