Modelling stand development after partial harvesting in boreal mixedwoods of eastern Canada

Bose, Arun K.; Harvey, Brian D.; Coates, K. David; Brais, Suzanne; Bergeron, Yves

doi:10.1016/j.ecolmodel.2015.01.002

Cited by 24 publications

(17 citation statements)

References 68 publications

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“…However, stands with low levels of balsam fir advance growth became hardwood-dominated after partial cuts. Bose et al (2015) obtained similar results when simulating the forest succession of pure aspen stands in eastern Canada. A major limitation of traditional silvicultural systems for meeting ecosystem-based management objectives is that they assume and prescribe stand homogeneity in order to optimize and predict the desired outcome (Coates and Burton, 1997).…”

Section: Speciessupporting

confidence: 83%

Partial harvesting in boreal mixedwoods: A case for planned heterogeneity in industrial silvicultural prescriptions

Guay-Picard

Auty

Munson

et al. 2015

Forest Ecology and Management

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Section: Speciessupporting

confidence: 83%

Partial harvesting in boreal mixedwoods: A case for planned heterogeneity in industrial silvicultural prescriptions

Guay-Picard

Auty

Munson

et al. 2015

Forest Ecology and Management

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“…; Bose et al. ), Scotland (Tanentzap et al. ), and the Pyrenees (Ameztegui and Coll ; Ameztegui et al.…”

Section: Developing a Predictive Model For Wytham Woodsmentioning

confidence: 99%

“…SORTIE is an individual-based model initially developed for the Great Mountain Forest (Connecticut) and used in USA (Pacala et al 1996;Strigul et al 2008), New Zealand (Coomes et al 2009Kunstler et al 2009Kunstler et al , 2011Forsyth et al 2015), Canada (Canham et al 1999;Bose et al 2015), Scotland (Tanentzap et al 2013), and the Pyrenees (Ameztegui and Coll 2011;Ameztegui et al 2015). It produces projections of the community structure of a forest and its carbon flux.…”

Section: Model's Data Requirementsmentioning

confidence: 99%

A comparison between data requirements and availability for calibrating predictive ecological models for lowland UK woodlands: learning new tricks from old trees

Evans

Moustakas

2016

Ecology and Evolution

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Woodlands provide valuable ecosystem services, and it is important to understand their dynamics. To predict the way in which these might change, we need process‐based predictive ecological models, but these are necessarily very data intensive. We tested the ability of existing datasets to provide the parameters necessary to instantiate a well‐used forest model (SORTIE) for a well‐studied woodland (Wytham Woods). Only five of SORTIE's 16 equations describing different aspects of the life history and behavior of individual trees could be parameterized without additional data collection. One age class – seedlings – was completely missed as they are shorter than the height at which Diameter at Breast Height (DBH) is measured. The mensuration of trees has changed little in the last 400 years (focussing almost exclusively on DBH) despite major changes in the nature of the source of value obtained from trees over this time. This results in there being insufficient data to parameterize process‐based models in order to meet the societal demand for ecological prediction. We do not advocate ceasing the measurement of DBH, but we do recommend that those concerned with tree mensuration consider whether additional measures of trees could be added to their data collection protocols. We also see advantages in integrating techniques such as ground‐based LIDAR or remote sensing techniques with long‐term datasets to both preserve continuity with what has been performed in the past and to expand the range of measurements made.

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“…To do so, we used SORTIE-ND, a spatially explicit individual-based forest stand dynamics model [34]. This mechanistic model has been previously used to explore natural forest dynamics in a number of forest systems in Canada [35][36][37][38] and elsewhere in the world [39][40][41][42]. Spatially explicit individual-based models have proved to be satisfactory tools in predicting stand succession based upon species autoecology [43]; we hypothesized that SORTIE-ND would be able to reproduce the compositional and structural dynamics of boreal post-fire stands from early to late-successional stages.…”

Section: Introductionmentioning

confidence: 99%

Modelling Post-Disturbance Successional Dynamics of the Canadian Boreal Mixedwoods

Maleki

Gueye

Lafleur

et al. 2019

Forests

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Natural disturbances, such as fire and insect outbreaks, play important roles in natural forest dynamics, which are characterized over long time scales by changes in stand composition and structure. Individual-based forest simulators could help explain and predict the response of forest ecosystems to different disturbances, silvicultural treatments, or environmental stressors. This study evaluated the ability of the SORTIE-ND simulator to reproduce post-disturbance dynamics of the boreal mixedwoods of eastern Canada. In 1991 and 2009, we sampled all trees (including seedlings and saplings) in 431 (256 m 2 ) plots located in the Lake Duparquet Research and Teaching Forest (western Quebec). These plots were distributed in stands originating from seven wildfires that occurred between 1760 and 1944, and which represented a chronosequence of post-disturbance stand development. We used the 1991 inventory data to parameterize the model, and simulated short-to long-term natural dynamics of post-fire stands in both the absence and presence of a spruce budworm outbreak. We compared short-term simulated stand composition and structure with those observed in 2009 using a chronosequence approach. The model successfully generated the composition and structure of empirical observations. In long-term simulations, species dominance of old-growth forests was not accurately estimated, due to possible differences in stand compositions following wildfires and to differences in stand disturbance histories. Mid-to long-term simulations showed that the secondary disturbance incurred by spruce budworm did not cause substantial changes in early successional stages while setting back the successional dynamics of middle-aged stands and accelerating the dominance of white cedar in late-successional post-fire stands. We conclude that constructing a model with appropriate information regarding stand composition and disturbance history considerably increases the strength and accuracy of the model to reproduce the natural dynamics of post-disturbance boreal mixedwoods. Forests 2020, 11, 3 * Evaluations show the significant differences (p-value >0.05) between 2009 empirical data and short-term simulation output. Old values are the model parameters at the beginning of simulations and model parameterizations. New values are the final adjusted values for model parameters.

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Modelling stand development after partial harvesting in boreal mixedwoods of eastern Canada

Cited by 24 publications

References 68 publications

Partial harvesting in boreal mixedwoods: A case for planned heterogeneity in industrial silvicultural prescriptions

Partial harvesting in boreal mixedwoods: A case for planned heterogeneity in industrial silvicultural prescriptions

A comparison between data requirements and availability for calibrating predictive ecological models for lowland UK woodlands: learning new tricks from old trees

Modelling Post-Disturbance Successional Dynamics of the Canadian Boreal Mixedwoods

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