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84 results for “Picea Abies”
Potential and realized distribution at 30m for Norway spruce (Picea abies) in Europe for 2000 - 2020
<p>Probability and uncertainty maps showing the potential and realized distribution for the Norway spruce (<em>Picea abies, </em>L. H. Karst.) for Europe from the dataset prepared by <a href="http://doi.org/10.5281/zenodo.5818021">Bonannella et al. (2022)</a> and predicted using Ensemble Machine Learning (EML). Potential distribution map cover the period 2018 - 2020; realized distribution cover the period 2000 - 2020, split in the following time periods:</p> <ul> <li>2000 - 2002,</li> <li>2002 - 2006,</li> <li>2006 - 2010,</li> <li>2010 - 2014,</li> <li>2014 - 2018,</li> <li>2018 - 2020.</li> </ul> <p>Files are named according to the following naming convention, e.g:</p> <ul> <li>veg_picea.abies_anv.eml_md_30m_0..0cm_2000..2002_eumap_epsg3035_v0.3</li> </ul> <p>with the following fields:</p> <ul> <li>theme: e.g. <strong>veg</strong>,</li> <li>species code: e.g. <strong>picea.abies</strong>,</li> <li>species distribution type: e.g. <strong>anv</strong> (= actual natural vegetation),</li> <li>species estimation method: e.g. <strong>eml</strong>,</li> <li>species estimation type: e.g. <strong>md</strong> ( = model deviation),</li> <li>resolution in meters e.g. <strong>30m</strong>,</li> <li>reference depths (vertical dimension): e.g. <strong>0..0cm</strong>,</li> <li>reference period begin end: e.g. <strong>2000..2002</strong>,</li> <li>reference area: e.g. <strong>eumap</strong>,</li> <li>coordinate system: e.g. <strong>epsg3035</strong>,</li> <li>data set version: e.g. <strong>v0.3</strong>.</li> </ul> <p>For each species is then easy to identify probability and uncertainty distribution maps:</p> <ul> <li>veg_picea.abies_<strong>anv</strong>.eml_<strong>md</strong>: model uncertainty for realized distribution</li> <li>veg_picea.abies_<strong>anv</strong>.eml_<strong>p</strong>: probability for realized distribution</li> <li>veg_picea.abies_<strong>pnv</strong>.eml_<strong>md</strong>: model uncertainty for potential distribution</li> <li>veg_picea.abies_<strong>pnv</strong>.eml_<strong>p</strong>: probability for potential distribution</li> </ul> <p>Files are provided as <a href="https://gdal.org/drivers/raster/cog.html">Cloud Optimized GeoTIFFs</a> and projected in the Coordinate Reference System ETRS89 / LAEA Europe (= EPSG code 3035). Styling files are provided in both <em>SLD</em> and <em>QML</em> format.</p> <p>If you would like to know more about the creation of the maps and the modeling:</p> <ul> <li><strong>watch</strong> the talk at Open Data Science Workshop 2021 (<a href="https://doi.org/10.5446/55256">TIB AV-PORTAL</a>)</li> <li><strong>access </strong>the repository with our R/Python scripts and follow the instructions (<a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/tree/master/veg_mapping">GitLab</a>)</li> <li><strong>access </strong>the repository with the training dataset (<a href="https://doi.org/10.5281/zenodo.5818021">Zenodo</a>)</li> <li><strong>read </strong>the tutorial with executable code on our <a href="https://opengeohub.github.io/spatial-prediction-eml/spatiotemporal-ml.html#spatiotemporal-distribution-of-fagus-sylvatica">GitBook</a></li> </ul> <p>A publication describing, in detail, all processing steps, accuracy assessment and general analysis of species distribution maps is available on <a href="https://doi.org/10.7717/peerj.13728">PeerJ</a>. To suggest any improvement/fix use <a href="https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues">https://gitlab.com/geoharmonizer_inea/spatial-layers/-/issues</a>.</p>
Herbarium specimen image of Picea abies (L.) H.Karst., part of the collection of Meise Botanic Garden
Part of a training dataset of scanned herbarium specimens. The data paper and a summary landing page will be published on Zenodo as it gets published.<br><br>Content of this deposition:<br><br>- A JSON-LD datafile listing the label data associated with this herbarium specimen. The Darwin and Dublin Core data standards are used for most values.<br>- A JPEG image file of the scanned herbarium sheet.<br>- A lossless TIFF image from which the JPEG image has been derived.
Data for "Age effect on tree structure and biomass allocation in Scots pine (Pinus sylvestris L.) and Norway spruce (Picea abies [L.] Karst.)"
<p>VAPU dataset for tree biomass was collected from southern Finland in 1988-1990 by the Finnish Forest Research Institute (Metla, now Natural Resources Institute Finland, Luke) (VAPU data set).</p> <p>Those sample trees (162 Scots pine and 163 Norway spruce) are originated from the whole VAPU data set. The sheet 'Pine' and 'Spruce' data have been matched between 'sample branch measurements' and the 'biomass' information (by cluster X, Y, and plot, tree number).</p> <p>Biomass estimation for foliage and branches has been described here: https://doi.org/10.1016/j.ecolmodel.2004.04.024 and https://doi.org/10.1093/treephys/25.7.803<br> </p>
Differential associations between nucleotide polymorphisms and physiological traits in Norway spruce (Picea abies Karst.) provenances under contrasting water regimes
<p>Three datasets are provided here, yielded by a study on drought-stressed and control (well-watered) seedlings of Norway spruce (Picea abies Karst.), coming from 5 provenances distributed along a steep altitudinal gradient from 550 to 1,280 m a.s.l. in central Slovakia:</p> <p>1. physiological traits</p> <p>2. double-digest restriction-site associated sequencing data (ddRAD)</p> <p>3. nuclear microsatellite (nSSR) genotypes</p>
Picea abies (L.) H.Karst. (BR0000009355996)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Picea abies (L.) H.Karst. (BR0000011219040)
Belgium Herbarium image of <a href="https://www.plantentuinmeise.be">Meise Botanic Garden</a>.
Fig. 1 in Damp Water Stream Impact For The Germination Of Norway Spruce (Picea Abies (L.) H. Karst.) Seeds
Fig. 1. Sowing scheme of Norway Spruce seeds (K – control sample – chemical treater was used for the seeds; 1s, 2s, 3s, 4s – damp water steam was used for the seeds).
An ultra-dense haploid genetic map for evaluating the highly fragmented genome assembly of Norway spruce (Picea abies)
<p>Data files for construction of the haploid genetic map for Norway spruce (<em>Picea abies</em>). Available at <a href="https://doi.org/10.1101/292151">https://doi.org/10.1101/292151</a></p>
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5.
Text-fig. 5. Palynomorphs from Late Miocene deposits. Gaverdovsky section, North Caucasus. a – Abies minor ANANOVA; b – Picea sp.; c – Keteleeria cf. dubia CHLONOWA; d – Taxodiaceae gen.; e – Podocarpidites podocarpoides (THIERGART) KRUTZSCH; f – Pinus labdaca KRUTZSCH; g – Fagus cf. tenella PAN.; h – Juglans gracilis ANANOVA; I – Carya cf. spackmania TRAV.; j – Pterocarya sp.; k – Ulmus sp.; l – Zelkova cf. miocenica ANANOVA; m – Liquidambar sp.; n – Pediastrum simplex MEYEN; o – Spirogyra sp.; p – redeposited Palaeogene dinocyst Wilsonidinium lineidentatum (DEFLANDRE et COOKSON, 1955) LENTIN et WILLIAMS, 1976. Scale bar 40 μm for all photographs. in Late Miocene (Early Turolian) Vertebrate Faunas And Associated Biotic Record Of The Northern Caucasus: Geology, Taxonomy, Palaeoenvironment, Biochronology
Text-fig. 5. Palynomorphs from Late Miocene deposits. Gaverdovsky section, North Caucasus. a – Abies minor ANANOVA; b – Picea sp.; c – Keteleeria cf. dubia CHLONOWA; d – Taxodiaceae gen.; e – Podocarpidites podocarpoides (THIERGART) KRUTZSCH; f – Pinus labdaca KRUTZSCH; g – Fagus cf. tenella PAN.; h – Juglans gracilis ANANOVA; I – Carya cf. spackmania TRAV.; j – Pterocarya sp.; k – Ulmus sp.; l – Zelkova cf. miocenica ANANOVA; m – Liquidambar sp.; n – Pediastrum simplex MEYEN; o – Spirogyra sp.; p – redeposited Palaeogene dinocyst Wilsonidinium lineidentatum (DEFLANDRE et COOKSON, 1955) LENTIN et WILLIAMS, 1976. Scale bar 40 μm for all photographs.
Data from: Bioelectrical synchronization of Picea abies during a solar eclipse
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Short-term effects of continuous cover forestry on forest biomass production and biodiversity: Applying single-tree selection in forests dominated by Picea abies
AbstractThe rotation forestry system provides high biomass production, but could also have a negative impact on species sensitive to disturbance. Continuous cover forestry (CCF) could contribute to solving these conflicting goals, but its feasibility in nutrient limited boreal forests is yet unresolved. In a unique experiment, we simultaneously assessed the short-term effect of single-tree selection on both biomass production and biodiversity (vascular plants, bryophytes, wood-inhabiting fungi), and tested fertilization as a way to mediate growth-biodiversity trade-offs. We found that unharvested stands and stands subjected to single-tree selection had a similar species assemblage of vascular plants, bryophytes, and wood-inhabiting fungi. Fertilization increased growth by 37% and induced shifts in two understory species (favoring the grass Avenella flexuosa and disfavoring the bryophyte Hylocomium splendens). We conclude that single-tree selection may become a useful tool to enhance biodiversity in managed forests.
TreeGrow - Data from: Morphology, bud burst and root fungal communities of Norway spruces (Picea abies)
<p>Our study delved into the relationship between root-associated fungi, gene expression and plant morphology in Norway spruce cuttings derived from both slow-and fast-growing trees. We found no clear link between the gene expression patterns of adventitious roots and the growth phenotype, suggesting no fundamental differences in the receptiveness to fungal symbionts between the phenotypes. Interestingly, saplings from slow-growing parental trees exhibited a higher richness of ectomycorrhizal species and larger roots. Some ectomycorrhizal species, typically found on mature spruces, were more prevalent on saplings from slow-growing spruces. The ericoid mycorrhizal fungus, Hyaloscypha hepaticola, showed a stronger association with saplings from fast-growing spruces. Moreover, saplings from slow-growing spruces had a greater number of Ascomycete taxa and free-living saprotrophic fungi. Aboveground sapling stems displayed some phenotypic variation; saplings from fast-growing phenotypes had longer branches but fewer whorls in their stems compared to those from the slow-growing group. In conclusion, the observed root-associated fungi and phenotypic characteristics in young Norway spruces may play a role in their long-term growth rate. This suggests that the early interactions between spruces and fungi could potentially influence their growth trajectory.</p>
Crown morphology in Norway spruce (Picea abies [Karst.] L.) as adaptation to mountainous environments is associated with single nucleotide polymorphisms (SNPs) in genes regulating seasonal growth rhythm
Trees growing at high altitude or latitude have to be adapted, amongst others, to the lower temperatures, a shorter vegetation period, heavier snow load and frost desiccation. Association between molecular genetic markers and climatic variables may provide evidence for the genetic control of climatic adaptation. With increasing genomic resources, several genes with importance to climatic adaptation are identified over a wide range of tree species. Commonly, circadian clock genes are linked to the adaptation to lower temperatures and especially to a shortened vegetation period, as they are regulating metabolic and phenological processes in the day-night shift and seasonal change. Potentially adaptive "candidate" genes associated with latitudinal and elevational gradients were identified in several Picea spp. Before molecular markers became available to study climatic adaptation, phenotypic traits measured in natural populations and/or common garden studies were used to search for their association with climate variables. In Norway spruce, the crown architecture is the most noticeable trait associated with altitude and the related environment. The mountainous narrow-crowned morphotype is characterised by superior resistance to snow breakage in regions with heavy snow fall. In total, the crown shape was assessed in 765 individual trees from mountainous regions in the Thuringian Forest, the Ore Mountains (Saxony) and Harz Mountains (Lower-Saxony/Saxony-Anhalt), and they were genotyped at 44 single nucleotide polymorphisms (SNPs) in 24 adaptive trait related candidate genes. Six SNPs in three genes, APETALA 2-like 3 (AP2L3), GIGANTEA (GI), and mitochondrial transcription termination factor (mTERF) were associated with variation in crown shape. GI has previously been identified in angiosperms and gymnosperms to be associated with temperature and growth cessation. Our results showed that crown morphology in Norway spruce is associated with genetic markers which are putatively involved in the complex process of genetic adaptation to climatic conditions at high altitudes.
TreeGrow - Data from: Morphology, bud burst and root fungal communities of Norway spruces (Picea abies)
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Short-term effects of continuous cover forestry on forest biomass production and biodiversity: Applying single-tree selection in forests dominated by Picea abies
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Allometric trajectories in Picea abies [L.] Karst. trees remain stable despite differences in temperature, phenology and growth along an elevational gradient.
<p>Dataset for the manuscript "Allometric trajectories in Picea abies [L.] Karst. trees remain stable despite differences in temperature, phenology and growth along an elevational gradient.".</p> <p> </p>
Data from: High genetic variation and moderate to high values for genetic parameters of Picea abies resistance to Pissodes strobi
Genetic parameters of Picea abies resistance to the white pine weevil (Pissodes strobi Peck) were estimated from 193 full-sib and 166 half-sib families in six 10-year-old progeny trials. The estimated family and individual heritability values for the cumulative weevil attack rate between ages 6 and 10 (CWA6–10) were high and moderate for both full-sib families (0.61 and 0.28, respectively) and half-sib families (0.85 and 0.40, respectively), indicating strong genetic control for this trait in Norway spruce. The fact that specific combining ability (SCA) variance represents 35 % of the general combining ability (GCA) variance suggests that non-additive (dominant) effects are weak. The strong type B correlations found for CWA6–10 (rˆB=0.96 for full-sib families and rˆB=0.81 for half-sib families) indicate that family ranks were stable across sites. For three of the five sites with high attack levels, genetic correlations were not significant between CWA6–10 and tree height at age 5. Moderate positive genetic correlations were detected between CWA6–10 and tree diameter at age 10 (rˆA from 0.29 to 0.60), but specific families showing both high resistance and good diameter growth can be found. These results suggest that the genetic improvement of Norway spruce for resistance to white pine weevil can be achieved successfully without adversely affecting growth.
Data from: The extent and meaning of hybridization and introgression between Siberian spruce (Picea obovata) and Norway spruce (Picea abies): cryptic refugia as stepping stones to the west?
Boreal species were repeatedly exposed to ice ages and went through cycles of contraction and expansion while sister species alternated periods of contact and isolation. The resulting genetic structure is consequently complex, and demographic inferences are intrinsically challenging. The range of Norway spruce (Picea abies) and Siberian spruce (Picea obovata) covers most of northern Eurasia; yet their geographical limits and histories remain poorly understood. To delineate the hybrid zone between the two species and reconstruct their joint demographic history, we analysed variation at nuclear SSR and mitochondrial DNA in 102 and 88 populations, respectively. The dynamics of the hybrid zone was analysed with approximate Bayesian computation (ABC) followed by posterior predictive structure plot reconstruction and the presence of barriers across the range tested with estimated effective migration surfaces. To estimate the divergence time between the two species, nuclear sequences from two well-separated populations of each species were analysed with ABC. Two main barriers divide the range of the two species: one corresponds to the hybrid zone between them, and the other separates the southern and northern domains of Norway spruce. The hybrid zone is centred on the Urals, but the genetic impact of Siberian spruce extends further west. The joint distribution of mitochondrial and nuclear variation indicates an introgression of mitochondrial DNA from Norway spruce into Siberian spruce. Overall, our data reveal a demographic history where the two species interacted frequently and where migrants originating from the Urals and the West Siberian Plain recolonized northern Russia and Scandinavia using scattered refugial populations of Norway spruce as stepping stones towards the west.
FIGURE 2. Calepitrimerus lutocinus n in A new eriophyoid mite species (Acari: Eriophyoidea) on Picea abies (Pinaceae)
FIGURE 2. Calepitrimerus lutocinus n. sp. female. D—dorsal aspect; L1, L2—Legs I, II, emempodium; male. GM—genital region
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