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70 results for “Black Spruce”
Data from: Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce (Picea mariana)
Picea mariana is a widely distributed boreal conifer across Canada and the subject of advanced breeding programs for which population genomics and genomic selection approaches are being developed. Targeted sequencing was achieved after capturing P. mariana exome with probes designed from the sequenced transcriptome of Picea glauca, a distant relative. A high capture efficiency of 75.9% was reached although spruce has a complex and large genome including gene sequences interspersed by some long introns. The results confirmed the relevance of using probes from congeneric species to perform successfully interspecific exome capture in the genus Picea. A bioinformatics pipeline was developed including stringent criteria that helped detect a set of 97 075 highly reliable in silico SNPs. These SNPs were distributed across 14 909 genes. Part of an Infinium iSelect array was used to estimate the rate of true positives by validating 4267 of the predicted in silico SNPs by genotyping trees from P. mariana populations. The true positive rate was 96.2%, for in silico SNPs compared to a genotyping success rate of 96.7% for a set 1115 P. mariana control SNPs recycled from previous genotyping arrays. These results indicate the high success rate of the genotyping array and the relevance of the selection criteria used to delineate the new P. mariana in silico SNP resource. Furthermore, in silico SNPs were generally of medium to high frequency in natural populations, thus providing high informative value for future population genomics applications.
Plot level biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada
<p>Tree mensuration data and biomass component data, collected from destructive sampling of 679 trees (DOI: 10.5281/zenodo.10632743), were scalled-up to the plot level, resulting in 58 black spruce boreal wetland plots within the Boreal Plains and Taiga Plains of Canada. This dataset contains plot level biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada.</p> <p>This dataset has been used to develop a new set of yield curves (i.e., total volume as a function of total stand age) as well as novel total volume-to-biomass conversion models to predict stem wood, stem bark, branch, and foliage biomass of the small black spruce trees. </p> <p>The novel equations are key to modelling treed peatlands in the Canadian Model for Peatlands (CaMP) and thus contribute to improving accuracy in modelled C stocks and flux estimates for Canada’s treed peatlands.</p>
Individual tree biomass by components for small black spruce trees growing on the wetlands of the Boreal and Taiga Plains of Canada
<p>New tree mensuration data and biomass component data from destructive sampling of 679 trees, were collected at 58 black spruce boreal wetland sites within the Boreal Plains and Taiga Plains of Canada. These data have been used to:</p> <p> Develop individual small black spruce trees allometric models. These models will focus on relationships between basal and breast height diameter, years-to-breast height, and height as function of basal diameter or breast height diameter, taper equation, and individual tree volume compilation.<br> Develop individual small black spruce trees biomass models. These equations will focus on estimating biomass of single trees based on diameters (basal and breast height diameter) and/or height). </p> <p> </p>
Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce
<p class="MsoPlainText">In boreal ecosystems, phenological events display seasonal patterns. These patterns optimize the development of tissues during the short time window available for growth in cold climates. Primary and secondary growth, two expensive processes for plants, are supposedly modulated in time to optimize allocation of carbon to bud and woody tissues. We aimed to assess the phenology of primary and secondary meristems, testing their relationship over the closed black spruce stands of the commercially exploited forest region in Quebec, Canada.</p> <p class="MsoPlainText">Location: Quebec, Canada</p> <p class="MsoPlainText">Time period: 2002-2016</p> <p class="MsoPlainText">Major taxa studied: Gymnospermae</p> <p class="MsoPlainText">We combined weekly scaled field observations with Moderate Resolution Imaging Spectroradiometer (MODIS) time-series of the Normalized Difference Vegetation Index (NDVI) to extract timings of photosynthesis and meristem growth in five black spruce [Picea mariana (Mill.) B.S.P.] stands located along a latitudinal gradient and to assess their relationship. We then tested an empirical relationship based on geographical position and seasonal temperatures to predict wood phenology i.e. the onset and ending of earlywood and latewood formation, and its spatial patterns were compared with existing predictions of bud phenology for the same study area. Photosynthesis started at the beginning of May, three weeks before bud reactivation and the onset of wood growth. Latewood formation started in mid-July, after shoot elongation was completed. For wood phenology models, residual standard error ranged from one week up to 12 days. Growth dynamics spatialized across the boreal forest of Quebec varied with the transition between the subarctic and humid continental climate. Shoot elongation and latewood formation were temporally separated, providing evidence of a trade-off in structural carbon allocation between primary and secondary growth in trees. Wood phenology spatial patterns predicted for the black spruce polygons are consistent with bud phenology spatial patterns, demonstrating synchronized meristems temporal dynamics at region scale.</p>
Regionwide temporal gradients of carbon allocation allow for shoot growth and latewood formation in boreal black spruce
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Data from: Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce (Picea mariana)
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Braun-Blanquet sorted vegetation tables for 150 extensive mature black spruce sites in interior Alaska
This is a PDF output of the Braun-Blanquet sorted vegetation tables. Upon Publication these tables will become avalible in other formats.
NACP Soil Organic Matter of Burned Boreal Black Spruce Forests, Alaska, 2009-2011
This data set provides organic soil layer characteristics, estimated carbon content, and soil depth measurements made at four black spruce stands in interior Alaska that had burned twice in the last 37-52 years (intermediate-interval fire events). The most recent fires occurred in 2004, 2005, and 2010. Measurements of soil depth and distance from the adventitious roots to the soil, and total organic matter are also included for unburned black spruce sites adjacent to the burned sites dominated by live, intermediate-aged (~37-52 years) black spruce trees.
Data from: Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
The branch autonomy principle, which states that the growth of individual branches can be predicted from their morphology and position in the forest canopy irrespective of the characteristics of the tree, has been used to simplify models of branch growth in trees. However, observed changes in allocation priority within trees towards branches growing in light-favoured conditions, referred to as 'Milton's Law of resource availability and allocation,' have raised questions about the applicability of the branch autonomy principle. We present models linking knot ontogeny to the secondary growth of the main stem in black spruce (Picea mariana (Mill.) B.S.P.), which were used to assess the patterns of assimilate allocation over time, both within and between trees. Data describing the annual radial growth of 445 stem rings and the three-dimensional shape of 5,377 knots were extracted from optical scans and X-ray computed tomography images taken along the stems of 10 trees. Total knot to stem area increment ratios (KSR) were calculated for each year of growth, and statistical models were developed to describe the annual development of knot diameter and curvature as a function of stem radial increment, total tree height, stem diameter, and the position of knots along an annual growth unit. KSR varied as a function of tree age and of the height to diameter ratio of the stem, a variable indicative of the competitive status of the tree. Simulations of the development of an individual knot showed that an increase in the stem radial growth rate was associated with an increase in the initial growth of the knot, but also with a shorter lifespan. Our results provide support for 'Milton's Law,' since they indicate that allocation priority is given to locations where the potential return is the highest. The developed models provided realistic simulations of knot morphology within trees, which could be integrated into a functional-structural model of tree growth and above-ground resource partitioning.
Data from: Models of knot and stem development in black spruce trees indicate a shift in allocation priority to branches when growth is limited
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OpenNeuro
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