Fate of Spinosad in Litter and Soils of a Mixed Conifer Stand in the Acadian Forest Region of New Brunswick

2002 ◽  
Vol 50 (4) ◽  
pp. 790-795 ◽  
Author(s):  
Dean G. Thompson ◽  
Brenda J. Harris ◽  
Leonard J. Lanteigne ◽  
Teresa M. Buscarini ◽  
Derek T. Chartrand
Keyword(s):  
New Brunswick ◽  
Mixed Conifer ◽  
Forest Region ◽  
Acadian Forest

Exploring the Recruitment Dynamics of Sugar Maple and Yellow Birch Saplings into Merchantable Stems Following Harvesting in the Acadian Forest Region of New Brunswick, Canada

2021 ◽  
Author(s):  
Alex Noel ◽  
Jules Comeau ◽  
Salah-Eddine El Adlouni ◽  
Gaetan Pelletier ◽  
Marie-Andrée Giroux
Keyword(s):  
New Brunswick ◽  
Sugar Maple ◽  
Basal Area ◽  
Stem Density ◽  
Yellow Birch ◽  
Probability Of Occurrence ◽  
Silvicultural Treatment ◽  
Forest Region ◽  
Wide Range ◽  
Acadian Forest

The recruitment of saplings in forest stands into merchantable stems is a very complex process, thus making it challenging to understand and predict. The recruitment dynamics in the Acadian Forest Region of New Brunswick are not well known or documented. Our objective was to draw an inference from existing large scale routine forest inventories as to the different dynamics behind the recruitment from the sapling layer into the commercial tree size layer in terms of density and occurrence of sugar maple (Acer saccharum Marsh.) and yellow birch (Betula alleghaniensis Britt.) following harvesting, by looking at many factors on a wide range of spatial and temporal scales using models. Results suggest that the variation in density and probability of occurrence is best explained by the intensity of silvicultural treatment, by the merchantable stem density in each plot, and by the proportion of merchantable basal area of each group of species. The number of recruits of sugar maple and yellow birch stems tend be higher when time since last treatment increases, when mid to low levels of silvicultural treatment intensity were implemented, and within plots having intermediate levels of merchantable stem density. Lastly, our modeling efforts suggest that the probability of occurrence and density of recruitment of both species tend to increase while its share of merchantable basal area increases.

Old-growth forests of the Acadian Forest Region

2003 ◽  
Vol 11 (S1) ◽  
pp. S47-S77 ◽  
Author(s):  
A Mosseler ◽  
J A Lynds ◽  
J E Major
Keyword(s):  
Old Growth ◽  
Forest Region ◽  
Old Growth Forests ◽  
Acadian Forest

A stand density management diagram for balsam fir in New Brunswick

2006 ◽  
Vol 82 (5) ◽  
pp. 700-711 ◽  
Author(s):  
M. Penner ◽  
D E Swift ◽  
R. Gagnon ◽  
J. Brissette
Keyword(s):  
New Brunswick ◽  
Abies Balsamea ◽  
Stand Density ◽  
Maximum Size ◽  
Balsam Fir ◽  
Quadratic Mean ◽  
Stand Management ◽  
Forest Region ◽  
Quadratic Mean Diameter ◽  
Stand Density Management

A stand management density diagram (SDMD) is presented for balsam fir (Abies balsamea (L.) Mill.) forests in New Brunswick. The SDMD incorporates a maximum size density line, as well as quadratic mean diameter and top height isolines. Several mortality functions are evaluated. The resultant SDMD should be a useful tool for projecting early stand development and determining the timing and intensity of thinnings. Key words: Acadian Forest Region, mortality curves

Fire history and rotations in the New Brunswick Acadian Forest

1977 ◽  
Vol 7 (2) ◽  
pp. 285-294 ◽  
Author(s):  
Ross W Wein ◽  
Janice M. Moore
Keyword(s):  
New Brunswick ◽  
Fire History ◽  
Vegetation Type ◽  
Rotation Period ◽  
High Elevation ◽  
Red Spruce ◽  
Vegetation Types ◽  
Rotation Periods ◽  
Acadian Forest

From an analysis of fire records in New Brunswick for the period of 1920–1975, the fire history and rotation patterns are presented. Mean and median annual burns have been 12 000 ha (0.15% of the province) and 2500 ha (0.03% of the province), respectively, but the fire rotations have been widely different for different vegetation types. The most extensively burned vegetation type of red spruce – hemlock – pine has had a fire rotation period of 230 years. Hardwood and high-elevation conifer vegetation types have had fire rotation periods of over 1000 years.

Comparative fate of glyphosate and triclopyr herbicides in the forest floor and mineral soil of an Acadian forest regeneration site

2000 ◽  
Vol 30 (11) ◽  
pp. 1808-1816 ◽  
Author(s):  
Dean G Thompson ◽  
Douglas G Pitt ◽  
Teresa M Buscarini ◽  
Bozena Staznik ◽  
David R Thomas
Keyword(s):  
New Brunswick ◽  
Forest Floor ◽  
Forest Regeneration ◽  
Mineral Soil ◽  
Dry Mass ◽  
Litter Fall ◽  
Herbicide Residues ◽  
Residue Levels ◽  
Acadian Forest ◽  
Glyphosate Formulations

Following applications of three different salt formulations of glyphosate (Vision®, Touchdown®, and Mon14420) and an ester formulation of triclopyr (Release®) to an Acadian forest regeneration site in New Brunswick, Canada, the fate and persistence of herbicide residues in the forest floor and underlying mineral soil were investigated. Within 14 days of treatment, maximal residue levels (average 8.3 µg·g dry mass–1) were observed in the forest floor matrix following application of the glyphosate formulations, with higher values (45.7 µg·g dry mass–1) observed for triclopyr. Residue maxima in the underlying mineral soil were, on average, 5.7-fold lower than those in the forest floor. In both matrices, glyphosate residues declined exponentially with time, irrespective of the formulation applied. Among the glyphosate treatments no significant differences (p = 0.16, p = 0.97, for forest floor and mineral soil respectively) were observed in the estimated times to 50% dissipation (DT50). Overall, average DT50 values for glyphosate were estimated as 12 ± 2 and 10 ± 3 days for the forest floor matrix and mineral soil, respectively. Triclopyr residues, particularly in the forest floor, were characterized by a series of transient increases, possibly reflecting temporally varying inputs from dew, rainwash, or litter fall from surrounding treated vegetation. Triclopyr residues also dissipated with time, with approximate DT50 values ranging from 39 to 69 days in the forest floor and mineral soil, respectively.

Modeling annualized occurrence, frequency, and composition of ingrowth using mixed-effects zero-inflated models and permanent plots in the Acadian Forest Region of North America

2011 ◽  
Vol 41 (10) ◽  
pp. 2077-2089 ◽  
Author(s):  
Rongxia Li ◽  
Aaron R. Weiskittel ◽  
John A. Kershaw
Keyword(s):  
North America ◽  
Random Effects ◽  
Negative Binomial ◽  
Basal Area ◽  
Forest Growth ◽  
Occurrence Frequency ◽  
Growth And Yield ◽  
Permanent Plots ◽  
Forest Region ◽  
Acadian Forest

Forest tree ingrowth is a highly variable and largely stochastic process. Consequently, predicting occurrence, frequency, and composition of ingrowth is a challenging task but of great importance in long-term forest growth and yield model projections. However, ingrowth data often require different statistical techniques other than traditional Gaussian regression, because these data are often bounded, skewed, and non-normal and commonly contain a large fraction of zeros. This study presents a set of regression models based on discrete Poisson and negative binomial probability distributions for ingrowth data collected from permanent sample plots in the Acadian Forest Region of North America. Models considered here include regular Poisson, zero-inflated Poisson (ZIP), zero-altered Poisson (ZAP; hurdle Poisson), regular negative binomial (NB), zero-inflated negative binomial (ZINB), and zero-altered negative binomial (ZANB; hurdle NB). Plot-level random effects were incorporated into each of these models. The ZINB model with random effects was found to provide the best fit statistics for modeling annualized occurrence and frequency of ingrowth. The key explanatory variables were stand basal area per hectare, percentage of hardwood basal area, number of trees per hectare, a measure of site quality, and the minimum measured diameter at breast height of each plot. A similar model was developed to predict species composition. All models showed logical behavior despite the high variability observed in the original data.

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