Forest site classification in New Brunswick

Bowling, C. C.; Zelazny, V.

doi:10.5558/tfc68034-1

Cited by 19 publications

(8 citation statements)

References 4 publications

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“…New Brunswick is over 80% forested and is located entirely within the Acadian forest ecological region (Bowling and Zelazny, 1992). Ownership of forested land is split almost evenly between private and public, with approximately 2.8 million ha of forest publicly owned and managed by the New Brunswick Department of Natural Resources (NBDNR).…”

Section: Study Areamentioning

confidence: 99%

A benefit–cost analysis of establishing protected natural areas in New Brunswick, Canada

Wilson

Lantz

MacLean

2010

Forest Policy and Economics

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Section: Study Areamentioning

confidence: 99%

A benefit–cost analysis of establishing protected natural areas in New Brunswick, Canada

Wilson

Lantz

MacLean

2010

Forest Policy and Economics

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“…The Crown forests of New Brunswick lie within the Acadian forest ecological region (Bowling and Zelazny 1992).…”

Section: Study Area: Crown Land Forests In New Brunswickmentioning

confidence: 99%

Forest and economic impacts of alternative management strategies on Crown land in New Brunswick

2007

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This study evaluated the long-run economic impacts of four alternative forest management strategies on New Brunswick's Crown land forests: two volume-based strategies focused on business as usual (BAU) and intensive (INT) timber volume production and two value-based strategies focused on forest manufacturing sector contribution to gross domestic product (GDP) and government surplus (GOV). These were defined within an extended wood supply model that incorporated both economic indicators (logging sector profit, government surplus, forest manufacturing sector shipments, and forest manufacturing sector GDP) and timber supply indicators (harvest levels, operable growing stock, and products). Results showed that a number of indicator trade-offs emerge under each strategy. For instance, the GOV strategy produced the highest present value government surplus value (at $1.2 billion, exceeding INT, BAU, and GDP strategies by $352 million, $302 million, and $169 million, respectively) and logging sector profit (at $2.4 billion, exceeding BAU, INT, and GDP strategies by $4 million, $11 million, and $8 million, respectively) over an 80 year planning horizon. However, this strategy also produced the lowest forest manufacturing sector contribution to GDP (at $12.8 billion, below the GDP, INT, and BAU strategies by $4.3 billion, $1.6 billion, and $1.4 billion, respectively) and the lowest annual softwood volume harvest, operable growing stock, and silvicultural investment of all strategies. Thus, although these findings emphasize that value-based strategies can produce some favourable economic outcomes, a number of trade-offs emerge that need to be further investigated before such strategies can be supported. Résumé :Cette étude analyse les impacts économiques à long terme de quatre stratégies d'aménagement forestier pour les terres publiques du Nouveau-Brunswick : deux stratégies basées sur le volume, soit le maintien du statut quo (MSQ) et la production intensive de bois (INT), et deux stratégies basées sur la valeur, soit la contribution du secteur manufacturier forestier au produit intérieur brut (PIB) et les surplus du gouvernement (GOV). Ces stratégies ont été modélisées à l'aide d'un modèle élargi conçu pour les approvisionnements forestiers qui permet d'introduire des indicateurs économiques (profit du secteur récolte, surplus du gouvernement, livraisons et PIB du secteur manufacturier forestier) et des indicateurs d'approvisionnement en bois (niveaux de récolte prévus, matériel sur pied exploitable, produits). Les résultats montrent que chaque stratégie donne lieu à différents compromis entre les indicateurs. Par exemple, la stratégie GOV produit la valeur actuelle nette la plus élevée en terme de surplus gouvernemental qui atteint 1,2 G $, soit respectivement 352, 302 et 169 M $ de plus que les stratégies INT, MQS et PIB, et des profits du secteur récolte de 2,4 G $, soit respectivement 47, 11 et 8 M $ de plus que les stratégies MQS, INT et PIB sur un horizon de planification de 80 ans. De toutes les stratégies toutefoi...

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“…Data used in this analysis were taken from site classification plots in the Province of New Brunswick (Zelazny et al 1989;Bowling & Zelazny 1992) and permanent forest inventory plots provided by the New Brunswick Department of Natural Resources and Energy (NBDNRE). Of the 4932 plots sampled as part of these Provincial forest inventory programs, we used the 3947 plots rated as mature or overmature based on successional status and age of dominant trees (see Anon.…”

Section: Vegetation Datamentioning

confidence: 99%

“…1987a for documentation). Percent cover of 218 taxa, including trees, shrubs, herbs, grasses, sedges, ferns, clubmosses, lichens, liverworts and mosses, was recorded in 12 m radius plots (Bowling & Zelazny 1992). Some taxa were identified only to the genus level.…”

Section: Vegetation Datamentioning

confidence: 99%

Plant communities of New Brunswick in relation to environmental variation

Roberts

Wuest

1999

J Vegetation Science

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Abstract. The objective of this study was to quantitatively describe vegetation‐environment relationships at a regional scale within the Province of New Brunswick, Canada, using vegetation and environment data from 3947 provincial forestry sample plots. The major plant community types in the province were identified using cluster analysis. Relationships of these communities to climate, topography and soil variables were analyzed by Canonical Correspondence Analysis (CCA), using both a reduced data set consisting of cluster likelihood scores × sample plots and an unreduced species × sample plots data matrix. The vegetation types and major axes of environmental variation were mapped to examine the geographic distributions of these factors within the province. Eight communities were identified and described in terms of enhanced/reduced species (significantly higher or lower frequencies of occurrence in a specific community type relative to all plots) and common species (species in the community type with the highest frequencies of occurrence). The canonical axes explained 25 % of the variation in the vegetation cluster data. Vegetation composition was related to three major environmental gradients representing climate and elevation, soil moisture, and soil fertility. The geographic distributions of vegetation communities exhibited predictable but weak correspondence to the geographic distributions of individual environmental factors. Our findings emphasize the overriding importance of climate and topography and the secondary importance of soil factors in controlling vegetation pattern at the regional scale.

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Forest site classification in New Brunswick

Cited by 19 publications

References 4 publications

A benefit–cost analysis of establishing protected natural areas in New Brunswick, Canada

A benefit–cost analysis of establishing protected natural areas in New Brunswick, Canada

Forest and economic impacts of alternative management strategies on Crown land in New Brunswick

Plant communities of New Brunswick in relation to environmental variation

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