Open AccessRe-evaluating our approach to forest management planning: A complex journey
Author(s) -
Anne-Hélène Mathey,
Emina Krcmar,
Ilan Vertinsky
Publication year - 2005
Publication title -
the forestry chronicle
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 49
eISSN - 1499-9315
pISSN - 0015-7546
DOI - 10.5558/tfc81359-3
Subject(s) - sustainable forest management , computer science , forest management , sustainable management , decision support system , environmental resource management , key (lock) , process management , management science , knowledge management , business , sustainability , ecology , geography , artificial intelligence , engineering , forestry , environmental science , biology , computer security
The evolution of forest values from timber supply to ecological and social values has been leading to the redefinition of the Sustainable Forest Management (SFM) paradigm. In parallel, scientific knowledge is expanding and uncovering the interconnectedness of the various processes that support these values. We thus have many wishes and much knowledge but we have to ensure that we have the decision support tools that will pull them together to promote SFM. After a broad review of the evolution of decision support tools in forest management, this paper presents a case for more holistic numerical planning tools. To illustrate that such tools can be designed, we propose a simple decentralized approach. In this approach, a landscape management strategy evolves based on local decisions, integrating spatial and aspatial, multi-period and period-specific goals. Such tools could become a useful platform for sustainable forest management planning. Key words: decision support tools, sustainable forest management, evolution, holistic planning, complexity, cellular automata
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