Dan Rouillard

Ontario Forest Research Institute

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Michael T. Ter‐Mikaelian

Ontario Forest Research Institute

Robert Keron

Ontario Forest Research Institute

Fred Pinto

Universidade Estadual de Goiás

Jean-Marie Sobze

Northern Alberta Institute of Technology

R. S. Richardson

University of Utah

Marlyse C. Duguid

Yale University

Paul F. Casey

Northern Research Station

Bob Izlar

University of Georgia

Kyle Smith

South African National Parks

Jane Severt

Cooperative Institutions

University of Georgia

Universidad Juárez del Estado de Durango

Mississippi State University

Durango Institute of Technology

Yale University

University of Washington

US Forest Service

Oregon State University

Northern Research Station

Ontario Forest Research Institute

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Martel Forest, Ontario, Canada

Elsevier eBooks (2015)

Robert Keron Dan Rouillard Sarah K. Sullivan

Sustainable Forest Management

Forest Inventory

Management by objectives

10.1016/b978-0-12-799936-4.00042-4

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A method to validate stand attributes in a forest resource inventory: case study in Nipissing Forest, Ontario.

Fred Pinto Michael T. Ter‐Mikaelian Jean-Marie Sobze Dan Rouillard

Forest Inventory

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Validating tree species composition in forest resource inventory for Nipissing Forest, Ontario, Canada

The Forestry Chronicle (2007)

Fred Pinto Dan Rouillard Jean-Marie Sobze Michael T. Ter‐Mikaelian

Species composition estimated from forest resource inventory (FRI) was validated using field data collected in 136 stands in Nipissing Forest (Ontario, Canada). FRI- and field-based species composition matched in 54% and 56% of cases using stand count and area coverage, respectively. Possible causes of discrepancy between FRI- and field-based species composition are discussed. Low level of agreement between FRI and field data indicated a need for more extensive studies on FRI validation prior to its use for forest management planning. Key words: forest resource inventory, FRI, forest unit, photo-interpretation, timber cruise

Forest Inventory

10.5558/tfc83247-2

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Citations (16)

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Elsevier eBooks (2015)

Mark André Steve Andringa Mark S. Ashton Jeff Barkley Alex L. Barrett

10.1016/b978-0-12-799936-4.09993-8

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Patching together the future of forest modelling: Implementing a spatial model in the 2009 Romeo Malette Forest Management Plan

The Forestry Chronicle (2008)

Dan Rouillard Tom Moore

We describe a pilot project on the Romeo Malette Forest in northeastern Ontario that used a spatially explicit strategic model as an element of the hierarchical modelling process used in forest management planning. We integrated 2 different and slightly overlapping modelling tools, the traditional aspatial Strategic Forest Management Model (SFMM) and the newer spatial Patchworks model, to form a comprehensive decision support system for planning. Results from the conventional modelling approach using only SFMM served as comparison. The pilot project’s goals included satisfying Ontario’s rigorous planning and public consultation requirements, addressing technical issues associated with using 2 separate models, and engaging planning team members in the decision-making process. Implementation of a new technology (spatial modelling) into a highly regulated organizational process presented the planning team with a series of challenges. For example, the higher resolution of the data used for the Patchworks model and changes in conventional concepts and procedures required that the planning team adjust and adapt its approach. One clear advantage of the combined approach was that the long-term effects of spatial and operational adjustments, such as landscape-level policies or harvest block deferrals, were evaluated comprehensively and immediately, leading to greater confidence that the forecast outcomes are sustainable. The hierarchical-spatial modelling process used in this pilot provides a significant improvement to forest management planning and results in improved confidence in the overall sustainability of the long-term management direction. The lessons learned have provided a base for future planning teams to take advantage of the many benefits of a decision support system that includes spatial modelling. Key words: forest management planning, spatial modelling, decision support, Patchworks

Sustainable Forest Management

Spatial Planning

Operational planning

10.5558/tfc84718-5

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Citations (12)