The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: a case study in northeastern British Columbia, Canada

Seely, Brad; Nelson, John D.; Wells, Ralph; Peter, Brian J.; Meitner, Michael J.; Anderson, Axel; Harshaw, Howard W.; Sheppard, Stephen R.J.; Bunnell, Fred L.; Kimmins, Hamish; Harrison, David E.

doi:10.1016/j.foreco.2004.05.048

Cited by 70 publications

(31 citation statements)

References 25 publications

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“…Potential frameworks for such integration efforts include multi-scale hierarchical approaches assuring consistent and robust scaling (cf. Mäkelä, 2003); modular designs, which allow the incorporation of processes in their respective spatial and temporal domain with interactions facilitated by a common platform (e.g., Scheller et al, 2007); metamodel concepts to consistently scale and integrate process models (e.g., Urban et al, 1999;Seidl et al, 2009); and hybrid approaches integrating multiple concepts towards a balanced representation of a wide variety of ecosystem processes (e.g., Seely et al, 2004).…”

Section: Level Of Organization Concept a Characteristicsmentioning

confidence: 99%

Modelling natural disturbances in forest ecosystems: a review

Seidl

Fernandes

Fonseca

et al. 2011

Ecological Modelling

336

219

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Section: Level Of Organization Concept a Characteristicsmentioning

confidence: 99%

Modelling natural disturbances in forest ecosystems: a review

Seidl

Fernandes

Fonseca

et al. 2011

Ecological Modelling

336

219

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“…3. Three different ecosystem conditions (lines 1-3) sustained by particular frequencies and severities of management-induced ecosystem disturbance applied repeatedly, compared with a sequence of conditions over time produced by changing the management regime periodically (line 4) (Kimmins 2004). The legend at the right of the diagram refers to clearcutting (CL) and partial harvesting (PH) in systems 1-3.…”

Section: Forecasting Tools For Adaptive Management and The Creation Omentioning

confidence: 99%

“…Analyses of this type have been underway for several years in B.C. (e.g., Seely et al 2004, Welham et al 2004, Seely 2005a). This work demonstrates that not only can such an approach be practical and operational for the assessment of the relative sustainability of different management strategies: it is also useful for testing the efficacy of existing indicators and suggesting new indicators that can provide practical and affordable monitoring (Seely 2005a, b;Seely and Welham 2006).…”

Section: Process-based Monitoring: the Linkage Of Predictive Monitorimentioning

confidence: 99%

“…Again, not only does the model establish a context for monitoring, it also establishes indicator targets and thresholds by comparing alternative silviculture systems against natural disturbance baselines. Such stand-level ecosystem management modeling can be scaled up to timber supply areas or larger units by linking the models with large landscape models of various types (e.g., Seely et al 2004).…”

Section: Process-based Monitoring: the Linkage Of Predictive Monitorimentioning

confidence: 99%

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Biophysical sustainability, process-based monitoring and forest ecosystem management decision support systems

Kimmins¹,

Rempel²,

Welham³

et al. 2007

The Forestry Chronicle

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Sustainability is a key concept in resource management and environmental issues, but implementation is fraught with difficulty due to lack of agreement as to what it means. Because of the ubiquity of disturbance, ecosystem sustainability inevitably involves change. We define stand-level biophysical sustainability as non-declining patterns of change over at least three cycles of disturbance, and landscape-level sustainability as a shifting mosaic of non-declining stand change, the overall character of which remains within acceptable limits over time. Simple empirical assessment (i.e., monitoring) of this concept of sustainability is generally not practical in forestry because of the long time and large spatial scales involved. Adaptive management (AM), another key resource management concept, involves monitoring to assess the consequences of management actions. It requires forecasts of expected change in sustainably managed, post-disturbance ecosystems against which to assess monitoring data. Without these forecasts, which constitute temporal fingerprints of sustainable change, short-term monitoring data cannot be used reliably as a basis from which to assess longer-term sustainability. A comprehensive monitoring system to address biophysical sustainability locally and at the landscape scale for a large management unit over a rotation-length time scale would involve the key elements of ecosystem structure and function and the effects thereon of management and climate change. This would be prohibitively expensive and demanding of human resources and the results would not be available until the end of the rotation. A strategy that honours the intent of AM is an intimate linkage between predictive monitoring and process-based ecosystem management decision support systems-ecosystem process-based monitoring-the emphasis of which is on temporal patterns of indicator change rather than comparisons between static indicators and audits of current ecosystem conditions (the certification approach). It involves a combination of monitoring and ecosystem management modeling that reduces the long-term cost of monitoring and increases the utility of the data collected for the assessment of sustainability and for the design of policy and adaptive practice in forestry.Key words: prediction, process-based monitoring, sustainability, forest ecosystems, biophysical indicators, temporal fingerprints, adaptive management, ecosystem management models RÉSUMÉ La durabilité est un concept clé de l'aménagement des ressources et des enjeux environnementaux, mais son implantation présente de multiples difficultés du fait de l'absence d'entente sur sa signification. Compte tenu de l'ubiquité liée aux perturbations, la durabilité d'un écosystème implique obligatoirement des changements. Nous définissons la durabilité biophysique au niveau du peuplement comme étant des patrons non successifs de changement au cours d'au moins trois cycles de perturbations, et la durabilité au niveau de l'écosystème comme étant une mosaïque progressive de ...

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“…SFM is increasingly seen as an approach that should engage a wide range of bio-physical, socio-economic, and political aspects (Seely et al, 2004) in a decision making process. However, there are as yet few established models for conducting such a holistic engagement in SFM that shows an increasing need for simulation models and decision support tools (Black et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran

Samari

Azadi

Zarafshani

et al. 2012

Forest Policy and Economics

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Determining an appropriate forestry extension model remains as a major challenge if sustainable forest management is a goal. This article was an attempt to show how the analytical hierarchy process can effectively be helpful in selecting appropriate model for forestry extension. The results revealed that the present situation fails to regard the 'privatized extension' as an appropriate model for the Zagros area in Iran. The results also showed while the beneficiaries select 'cooperative extension system' as the most appropriate model, it has no tangible difference with 'public extension system' as the 1 Corresponding author. Email: hossein.azadi@ugent.be, Phone: +32 (0)9 264 46 95, Fax: +32 (0)9 264 49 85. 2 second preferred option. Accordingly, a hybrid forestry extension model was recommended as an appropriate model.

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The application of a hierarchical, decision-support system to evaluate multi-objective forest management strategies: a case study in northeastern British Columbia, Canada

Cited by 70 publications

References 25 publications

Modelling natural disturbances in forest ecosystems: a review

Modelling natural disturbances in forest ecosystems: a review

Biophysical sustainability, process-based monitoring and forest ecosystem management decision support systems

Determining appropriate forestry extension model: Application of AHP in the Zagros area, Iran

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