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15 results for “boreal mixedwood”
A 249-year chronosequence of forest plots from eight successive fires in the eastern Canada boreal mixedwoods
<p>A combination of wildfires and defoliating insect outbreaks play an important role in the natural successional dynamics of North American boreal forests, which, in the long term, change the post-disturbance composition and structure of forest stands. After stand-replacing disturbances (mainly wildfires), early successional hardwoods typically dominate the affected areas in boreal forests. Provided sufficient time following disturbances, the increasing recruitment of mid- to late-successional softwoods as well as the mortality of hardwoods gradually change forest composition from hardwoods to admixtures of hardwood-conifer species and conifer-dominated stands in mid and late successional stages, respectively. Such mixed woods are abundant across the southern Canadian boreal forest. In boreal Canada, mixed woods are the most structurally heterogeneous forest ecosystems, are highly productive, and form an important source of timber supply. Here we present the EASTERN BOREAL MIXEDWOODS CANADA dataset, which documents the changes in composition and structure of stands originating from eight successive wildfires representing a chronosequence of 249 years in eastern Canada. This dataset has been used in several different projects to study and model the influence of natural (e.g., insect outbreaks) and anthropogenic disturbances (e.g., harvesting) on the dynamics of post-fire stands. The data covers a high range of variability in stand composition and structure, explained by species establishment, dominance and mixture. It thus constitutes a useful source of information to trace the dynamics of the main boreal tree species of eastern north America, from their establishment to their replacement at different spatial scales (e.g., from stand to landscape level).</p>
A 249-year chronosequence of forest plots from eight successive fires in the eastern Canada boreal mixedwoods
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Data from: Bryophyte abundance, diversity and composition after retention harvest in boreal mixedwood forest
1. Variable-retention harvest is widely recognised as an alternative to more intensive methods such as clear-cutting. However, present information is inadequate to judge impact of variable-retention on biodiversity of indigenous forest organisms intolerant of canopy removal, such as forest-inhabiting bryophytes. 2. We examined how bryophyte species cover, richness, diversity and composition change with time in response to a broad range of dispersed retention harvest treatments (2% (clear-cut), 10%, 20%, 50%, 75% retention of original basal area) contrasted with uncut controls (100% retention)) in broadleaf deciduous, mixedwood and conifer-dominated boreal forests in NW Alberta, Canada. Bryophytes were studied in 432 permanent sample plots within 72 compartments before harvest and at three, six and eleven years after harvest. 3. Clear-cut and lower (10% and 20%) retention levels resulted in lower cover and richness of bryophytes than in unharvested control compartments in mixed and conifer-dominated forests, but less so in deciduous-dominated forests, which generally supported low cover and richness. Species composition in each forest type varied along the gradient of harvesting intensity; clear-cuts and lower levels of retention supported similar composition, as did control plots and those representing higher retention levels. Over time the retention harvest treatments became more similar to uncut controls. 4. Synthesis and applications. Increased retention moderated the negative impacts of harvesting on bryophyte assemblages across all forest types, and our results suggest that even 10% retention will facilitate faster post-harvest recovery of bryophytes.02-Aug-2017
Data from: Fine-scale forest variability and biodiversity in the boreal mixedwood forest
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Data from: Bryophyte abundance, diversity and composition after retention harvest in boreal mixedwood forest
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Plant and insect assemblages in mixedwood Boreal forest at the Zama silvicultural experiment site in northwestern Alberta, Canada
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Data from: Ecosystem memory of wildfires affects resilience of boreal mixedwood biodiversity after retention harvest
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Figure 8 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 8 - Probability of collecting female Platynus decentis with changes in azimuth and slope when additional variables are held constant at their respective means. Both dashed and solid lines represent model parameters derived from full logistic model. Regression slopes for elevation appear near zero as total range of elevation is relatively small.
Figure 6 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 6 - Probability of collecting female Pterostichus pensylvanicus with changes in azimuth and slope when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only curvature, FAC and intercept.
Figure 2 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 2 - Probability of collecting female Calathus ingratus with changes in azimuth and slope when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only azimuth, slope and intercept.
Figure 7 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 7 - Probability of collecting female Sphaeroderus nitidicollis with changes in azimuth and slope when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only curvature, FAC and intercept.
Figure 5 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 5 - Figure 5. Probability of collecting female Synuchus impunctatus with changes in azimuth and slope when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only curvature, FAC and intercept.
Figure 4 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 4 - Probability of collecting female Pterostichus coracinus with changes in azimuth, slope and elevation when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only azimuth, slope, elevation and intercept. Regression slopes for elevation appear near zero as total range of elevation is relatively small.
Figure 1 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 1 - Probability of collecting female Agonum retractum with changes in azimuth and slope when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only azimuth, slope and intercept.
Figure 3 from: Work T, St Onge B, Jacobs J (2011) Response of female beetles to LIDAR derived topographic variables in Eastern boreal mixedwood forests (Coleoptera, Carabidae). ZooKeys 147: 623-639. https://doi.org/10.3897/zookeys.147.2013
Figure 3 - Probability of collecting female Pterostichus adstrictus with changes in azimuth, slope and elevation when additional variables are held constant at their respective means. Dashed lines represent model parameters derived from full logistic model. Solid lines represent model parameters of reduced logistic model including only azimuth, slope, elevation and intercept. Regression slopes for elevation appear near zero as total range of elevation is relatively small.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
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OpenNeuro
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