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247 results for “forest type”
Forest Type Maps for New England from Historical Studies 1912-1956
This data package contains 3 GIS layers showing generalized forest types across New England as delineated in older forestry publications. These were digitized so that they can be used to illustrate broad vegetation patterns across the region in modern publications. These GIS layers include maps drawn by Hawley and Hawes (1912), RT Fisher (1933), and Westveld and the Committee on Silviculture, New England Section, Society of American Foresters (1956).
Hubbard Brook Experimental Forest: Soil type prediction raster files
This dataset consists of raster files predicting spatial patterns in soils for the entire Hubbard Brook Experimental Forest. Eight soil units are used, following a hydropedologic approach, based on relationships between soil genetic horizon presence and thickness, and the frequency and depth of groundwater fluctuations. Nine raster files on a five-meter grid are presented, including one raster each showing the probability of presence of each of the eight soil units; the ninth raster represents the soil unit most likely to be present at each grid cell. The methods section of the metadata includes descriptions of the eight soil units and guidance for users of the model outputs. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Hubbard Brook Experimental Forest: Relations of the O-horizon with canopy tree species and hydropedologic soil types, 2021
As the interface between plants and soil, the organic horizon is the foundation of forest ecosystems. Two potential predictors of O-layer properties, vegetation and mineral soil type, are difficult to separate because they typically covary. We conducted a factorial study involving four canopy tree species and two soil types with distinctly different hydrology and topographic position to parse patterns in chemistry and microbiota of the O-layer in a north-temperate deciduous forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Understanding the Influences of Forest Type, Cover Board Type and Weather on Salamanders
Salamanders are vital bioindicators that function to support a terrestrial forest ecosystem. The continuous loss of amphibian species and their habitat can have profound impacts on terrestrial systems. In terrestrial environments, salamanders use natural cover for refuge, foraging, and maintaining moisture; however, artificial cover has commonly been used to survey and conserve these species. The objective of this study was to assess terrestrial salamander preference for natural versus artificial coverboards in relation to forest stands in two successional stages located within the James H. Barrow Biological Field Station (Hiram, Ohio). Ten artificial (particle board, 30 x 33 cm) and ten natural (white ash, 30 x 30 cm) coverboards were placed in two 50 m parallel transects arranged 2 m apart within transitional and mature forests. Surveys were conducted weekly between the second week of September and the second week of November from 2018 to 2021. Average weakly precipitation and max temperature were recorded. Both abundance and species richness were significantly higher under natural coverboards and in the transitional forest. There were also correlation between species richness and abundance with daily max temperature and weakly precipitation. 678 individuals across five species were found: Eastern Red-Backed Salamander, Spotted Salamander, Four-Toed Salamander, Red-Spotted Newt, and Northern Two-Lined Salamander. Eastern Red-Backed Salamanders were the most abundant species within both mature and transitional forests. Natural coverboards may be a better method to survey terrestrial salamanders because artificial coverboards are comprised of wood chippings, wax and adhesives which may alter soil permeability for less favorable conditions.
Plant community typing (2009 update), Andrews Experimental Forest
Plant Communities of the HJ Andrews Experimental Forest (revised 2009). A total of 23 forest communities have been identified and characterized in a preliminary manner. Data used in formatting the classification had previously been collected on 300 reconnaissance plots located on the H. J. Andrews Forest and surrounding area. Vegetation classification was facilitated by similarity analysis and stand ordination procedures developed by Dr. Will Moir, formerly of Colorado State University. Results of stand ordination indicate the presence of strong moisture and temperature gradients along which forest stands array themselves. The forest communities recognized in this classification are listed in the following internal report: http://andrewsforest.oregonstate.edu/pubs/pdf/pub1741.pdf
Comparison of polyphenol degrading enzyme activities between forest types and soil horizons from 2003 to 2004
In the southern Appalachians Rhododendron maximum thickets suppress conifer and hardwood regeneration. While there has been research on the effects of R. maximum on physical and chemical environment, the functioning of R. maximum ericoid mycorrhizas has been unexplored. The litter of ericaceous plants tends to be rich in phenolic compounds. These compounds can form recalcitrant complexes with various forms of organic N, and may be responsible for lowering decomposition and N mineralization rates. While polyphenol-organic N complexes are highly recalcitrant, some fungi, particularly ericoid mycorrhizal fungi, have the ability to access this sequestered N. Since the litter of ericaceous plants is rich in phenolic compounds and ericoid mycorrhizal fungi are equipped to degrade phenolic compounds, polyphenol-organic N complexing may represent an N cycling strategy that prevents non-ericaceous plants from accessing sources of organic N. We propose to examine the activities of polyphenol degrading enzymes in the soil of R. maximum thickets and neighboring hardwood forests.
Impact of Phytophthora cinnamomi on the taxonomic and functional diversity of forest plants in a mediterranean-type biodiversity hotspot
<p class="MsoNormal"><strong>Aim</strong></p> <p class="MsoNormal">Diversity-rich mediterranean-type sclerophyllous forests are home to 20% of described species on Earth. In the <em>Eucalyptus marginata</em> (jarrah) forest of southwest of Western Australia diversity is being reduced by extensive human use and the introduction of the plant pathogen <em>Phytophthora cinnamomi</em>. This study investigated the influence of <em>P. cinnamomi </em>infestation on the structure, taxonomic and functional diversity, and species composition of the forest.</p> <p class="MsoNormal"><strong>Location</strong>: Jarrah forest of southwestern Australia</p> <p class="MsoNormal"><strong>Methods</strong></p> <p class="MsoNormal">Species<strong> </strong>abundance, understorey cover and canopy cover were assessed along 22, 30-m long transects which crossed infested and non-infested zones in five reserves in the jarrah forest. A trait database was assembled for 137 plants using 13 traits related to nutrient- and carbon acquisition, disturbance tolerance and reproduction. The responses of canopy cover, understorey cover, species richness, Shannon diversity, evenness, abundance, and functional diversity for trait groups, and all groups combined were modelled against reserve and zone as fixed effects and transect and transect section as random effects. To assess the species composition, NMDS ordination based on Bray Curtis resemblance and indicator species analyses were used.</p> <p class="MsoNormal"><strong>Results</strong></p> <p class="MsoNormal">Significantly higher understorey cover, species richness, Shannon diversity and evenness were recorded in non-infested compared to infested zones, but there were no changes in the canopy cover and overall abundance. In non-infested zones, the functional diversity of nutrient acquisition and reproductive traits was higher, but the functional diversity of carbon acquisition traits was lower. No difference in functional diversity was recorded in disturbance tolerance and overall traits between the two zones. NMDS ordination and ANOSIM revealed a significant difference in the species composition between the two zones, and 11 indicator species significantly associated with infested and non-infested zones were identified.<strong> </strong></p> <p class="MsoNormal"><strong>Conclusion</strong></p> <p class="MsoNormal"><em>Phytophthora cinnamomi</em> has significantly affected the forest structure, taxonomic and functional diversity, and species composition. Contrasting responses of functional trait groups obscured overall trait responses to <em>P. cinnamomi.</em></p>
Data for: Trap type affects dung beetle taxonomic and functional diversity in Bornean tropical forests
<p>Dung beetle community composition data. Data was collected using either dung-baited pitfall traps or flight interception traps. Each row represents one trap, with the author/study information, name of study site, sampling period, trap type and habitat type. Dung beetle species and their abundances are listed. See "metadata" tab for more details.</p> <p>Paper abstract: Baited pitfall traps (BPTs) and flight intercept traps (FITs) are the most common methods employed for sampling dung beetle communities. These methods vary in their efficacy and are affected by factors such as the bait types used and the dispersal abilities of different dung beetle species. We present the first quantitative comparison of the taxonomic and functional diversity, and community composition of dung beetles caught in BPTs and FITs in Bornean tropical forests. We show that BPTs and FITs captured complementary communities with different functional traits, and that BPTs captured more functionally diverse communities. We therefore recommend using a combination of both baited BPTs and FITs for studies assessing the composition of dung beetles across habitat types. Our results also highlight that it is important to consider how trap type affects the trait composition of communities when relating dung beetle communities and functional traits to ecological functioning. We suggest modifications to FITs based on the design of harp traps to increase their effectiveness in capturing larger-bodied beetles.</p>
Fig. 2. Primary types, habitus. A–C in A revision of Discodon tricolor (Guérin-Méneville) and its mimics from the Atlantic forests of Brazil (Coleoptera: Cantharidae)
Fig. 2. Primary types, habitus. A–C. Silis tricolor Guérin-Méneville, 1832 (holotype, ♂, MNHN EC14297), dorsal, ventral and labels. D–F. Discodon albonotatum Pic, 1906 (lectotype, ♂, MNHN EC13550), dorsal, ventral and labels. Photographs by Christophe Rivier (MNHN, Paris). Scale bars = 5.0 mm
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021). in Floristic, Vegetation And Climate Assessment Of The Early/Middle Miocene Parschlug Flora Indicates A Distinctly Seasonal Climate
Text-fig. 1. Modern vegetation proxies as delivered by the Drudge 1 and 2 tools for Parschlug. Left column results from KovarEder et al. (2021) based on the floristic spectrum published by Kovar-Eder et al. (2004). The other three columns result from three variants using the enlarged floristic spectrum herein. Differences between variants 1–3 from this study are caused by differences in assignment of some taxa and morphotypes (see Appendix 1). European vegetation formations: Formation C – Subarctic, boreal and nemoral-montane open woodlands as well as subalpine and oro-Mediterranean vegetation; Formation D – Mesophytic and hygromesophytic coniferous and mixed broad-leaved-coniferous forests; Formation F – Mesophytic broadleaved deciduous and mixed broadleaved/conifer forests; Formation G – Thermophilous mixed deciduous broadleaved forests; Formation J – Mediterranean sclerophyllous forests and scrub; Formation K – Xerophytic coniferous forests, coniferous woodland and scrub. East Asian vegetation types: MCF China, Japan – Montane Coniferous Forests China, Honshu, Yakushima; BLDF N and NE Provinces, China – Broad-leaved Deciduous Forests of the Northern and Northeastern Provinces (China); BLDF Upper Yangtze, Honshu – Broad-leaved Deciduous Forest, Upper Yangtze Provinces, Mt. Emei, and Honshu; MMF China – Mixed Mesophytic Forest, Lower Yangtze Provinces; BLEF China, Japan – Broad-leaved Evergreen Forests, China, Japan; Meili Snow Mt. high altitude SCL and BLF, China – Meili Snow Mt., Sclerophyllous and broad-leaved forest zone (2,580-3,650 m alt.). (Designations of European vegetation formations follow Bohn et al. (2004) and Asian ones follow Kovar-Eder et al. (2021).
Text-fig. A2. a: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). b: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). c: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885 detail of (a)). d, e: Ulmus elliptica K.KOCH, 1849 (herbarium E00034393). f, g: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413489). h: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413488). Asterisks indicate different types of asymmetric leaf base. Scale bars 50 mm (a, d, e, f), 10 mm (b, c, g, h). in The Late Early Pleistocene Flora Of Oriolo, Faenza (Italy): Assembly Of The Modern Forest Biome
Text-fig. A2. a: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). b: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885). c: Ulmus carpinifolia GLED., 1773 syn. of Ulmus minor MILL., 1768, (herbarium E00824885 detail of (a)). d, e: Ulmus elliptica K.KOCH, 1849 (herbarium E00034393). f, g: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413489). h: Ulmus lancifolia ROXB., 1814, nom. inval. (herbarium NMNH03413488). Asterisks indicate different types of asymmetric leaf base. Scale bars 50 mm (a, d, e, f), 10 mm (b, c, g, h).
Text-fig. 5. Vegetation zones in P. R. China (Editorial Committee of Vegetation Map of China, The Chinese Academy of Sciences 2007), and assumed location of extant reference vegetation type of Wiesa fossil assemblage (rectangle), as revealed from qualitative floristic analysis. Extant reference vegetation type present in southern belt of zone of subtropical evergreen broadleaved forest, with minor overlap into zone of tropical forest. in Assessment Of Phytogeographic Reference Regions For Cenozoic Vegetation: A Case Study On The Miocene Flora Of Wiesa (Germany)
Text-fig. 5. Vegetation zones in P. R. China (Editorial Committee of Vegetation Map of China, The Chinese Academy of Sciences 2007), and assumed location of extant reference vegetation type of Wiesa fossil assemblage (rectangle), as revealed from qualitative floristic analysis. Extant reference vegetation type present in southern belt of zone of subtropical evergreen broadleaved forest, with minor overlap into zone of tropical forest.
Data for: Temporal variation of soil microarthropods in different forest types and regions of Central Europe
<p>Biodiversity and biomass of aboveground arthropods in Central European forests continuously declined during the last decade. However, whether belowground microarthropod communities follow similar patterns has not been investigated. In this study, we compared the abundance, diversity, community composition, stability and asynchrony of oribatid mites (Acari: Oribatida) sampled in four forest types of increasing management intensity (unmanaged beech, old managed beech, young managed beech, and coniferous) at three-year intervals from 2008 to 2020. Forest sites were replicated in three regions in southern, central and northern Germany, i.e. the Swabian Alb, Hainich-Dün and the Schorfheide Chorin, which differ in soil characteristics and climate. We found 25,152 individuals and 121 species of oribatid mites and detected no linear decline in abundance and diversity over the last decade, suggesting that microarthropods in forest soils are buffered against land-use effects. However, we observed that years with low winter precipitation in regions with soils that are prone to drought, resulted in significant decreases in oribatid mite densities. Community compositions remained similar across sampling years, but differed between regions and forest types, predominantly due to differences in the proportion of asexual individuals. The stability of oribatid mite communities did not decrease in managed forests and was highest in deep soils with high water-holding capacity, which may reduce temporal variation, suggesting that soil properties are more important for the stability of oribatid mite communities than forest management. However, stability patterns were not explained by asynchrony in species fluctuations, as all communities either showed a high degree of synchrony or were not different from random. Our study highlights that the temporal dynamics of belowground communities may differ from those aboveground, and that regional differences in precipitation and soil properties are more important than forest types.</p>
Morphospace disparity and species diversity in Sri Lankan phytophagous scarab beetles – a comparison by forest types, altitude, and sites
<p>The files contain the supporting information and raw data of the masnucript, Morphospace disparity and species diversity in Sri Lankan phytophagous scarab beetles – a comparison by forest types, altitude, and sites.</p> <p>It includes the following:</p> <p><strong>Raw Data:</strong></p> <p><strong><span>Suppl. Table 1: </span></strong><span>Details of sampling sites (Sri Lanka); L number, coordinates, elevation, elevation zone and forest types. </span><span>Elevation zones; EZ1: 0-500m, EZ2: 501-1000m, EZ3: 1001-1500m, EZ4: 1501-2000m, EZ5; 2001-2500m. </span><span>Forest types; WL: evergreen wet lowland forests, DL: evergreen dry lowland forests, SM: sub-montane forests, MO: montane forests.</span></p> <p><strong>Suppl. Table 2. </strong>Morphometric measurements and metadata of all studied specimens. Metadata include species identification, voucher number, occurrence data regarding sampling location in Sri Lanka, elevation zone (EZ), and forest type (F). Units of measurements are mm. WL: evergreen wet lowland forests, LD: evergreen dry lowland forests, SM: sub-montane forests, MO: montane forests; EZ1: 0-500m, EZ2: 501-1000m, EZ3: 1001-1500m, EZ4: 1501-2000m, EZ5; 2001-2500m; L1: Aranayake; L2: Riverston; L3: NIFS Arboretum; L4: Deenston; L5: Nuwara Eliya; L6: Horton Plains; L8: Hiyare; L9: Kottawa; L10: Kanneliya; L11: Piduruthalagala; L12: Uda Peradeniya; L13: Gannoruwa; L14: Udawattakele. Morphological measurements abbreviations are explained in Sup. Fig.1.</p> <p><strong>Results:</strong></p> <p><strong><span>Suppl. Table 3: </span></strong><span>Proportion of</span><strong><span> </span></strong><span>variance explained by PC axes in principal component analysis for the data subsets of lineages </span><span>(derived from shape and size data). Values of axes reflecting the 95% of explained cumulative variation are highlighted in bold.</span></p> <p><strong><span>Suppl. Table 4</span></strong><strong><span>: </span></strong><span>Euclidean distances between species (mean/median/maximum) for shape and size partitioned by </span><span>forest types </span><span>and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span><span>WL: Wet lowland; DL: Dry lowland; SM: Sub-montane; MO: Montane.</span></p> <p><strong><span>Suppl. Table 5: </span></strong><span>Euclidean distances between species mean/median/maximum) for shape and size partitioned by elevational zones and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span><span>EZ1: 0-500m. EZ2: 501-1000m. EZ3: 1001-1500m. EZ4: 1501-2000m. EZ5: 2001-2500m.</span></p> <p><strong><span>Suppl. Table 6: </span></strong><span>Euclidean distances between species (mean/median/maximum) for shape and size partitioned by localities (L1-14), and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). </span></p> <p><strong><span>Suppl. Table 7</span></strong><strong><span>: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for shape and size <u>forest types</u> and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics. WL: Wet lowland; DL: Dry lowland; SM: Sub-montane; MO: Montane.</span></p> <p><strong><span>Suppl. Table 8</span></strong><strong><span>: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores for shape and size partitioned for <u>elevational zones</u> and lineages (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics. EZ1: 0-500m. EZ2: 501-1000m. EZ3: 1001-1500m. EZ4: 1501-2000m. EZ5: 2001-2500m.</span></p> <p><strong><span>Suppl. Table 9: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for <u>localities</u> and lineages for shape (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics.</span></p> <p><strong><span>Suppl. Table 10: </span></strong><span>Pairwise p-values from non-parametric MANOVA on PCA scores partitioned for <u>localities</u> and lineages for size (all Pleurosticts, Sericini only, and Pleurosticts excluding Sericini (*)). Significant correlations (p value <0.05) are shown in bold italics.</span></p> <p> </p> <p><strong>Figure S1.</strong> Illustration of the measured morphological traits (after Eberle et al., 2014). Schematic drawings of a Sericini beetle, in (A) dorsal, (B) ventral, and (C) lateral aspect. Body: BH - maximal body height, EH - maximal elytra height, EL - maximal elytra length, Eld - maximal diagonal elytra length, Elmb - length from maximal body width to elytral apex, EW - maximal elytra width, Ewb - elytral width at middle of scutellum, PL - maximal pronotum length, PW - maximal pronotum width; Head: ED - maximal eye diameter, HW - maximal head with including eyes, IOD - minimal interocular distance (dorsal view); Legs: MCL - maximal length of metacoxa, MFL - maximal length of metafemur, MFW - maximal width of metafemur, MTL - maximal length of metatibia, MTW - maximal width of metatibia, PFL - maximal length of profemur, PFW - maximal width of profemur, PTL - maximal length of protibia.</p> <p><strong>Figure S2.</strong> Biplots of PC1 and 2 from principal components analysis, illustrating trait contribution to the principal patterns of morphospace (raw measurements). Trait abbreviations are explained in Figure S1.</p> <p><strong>Figure S3. </strong>Patterns of morphospace disparity of all Pleurosticts derived from raw measurements in individual localities. Symbols represent genus or other family-group level, color of symbols single species.<br> <br><strong>Figure S4. </strong>Patterns of morphospace disparity of Sericini derived from raw measurements in individual localities. Colored dots represent single species. Locality L12 had no Sericini recorded.<br> <br><strong>Figure S5. </strong>Patterns of morphospace disparity (PCA plots of PC1 and PC2) derived from raw measurements of Sericini chafers partitioned for forest types (A), elevation zones (B), localities (C)(enlarged visualization from Fig. 2). Colored dots represent single species, outlines grouping entities grouped by forest types, elevation zone, or locality.</p>
FireCaster Wildland Fire Fuels Database for Corsican - Mediterranean Forest stand types
<p>This database includes wildland fuels data for Mediterranean basin vegetation stands types and in particular for those in Corsica, for fire/forest management, risk assessment and decision-support purposes. It gathers together some of the most common input parameters needed by wildfire’s models at several vegetation scales (i.e., stand, elements, particles). It has been conceived by using a layering approach, this is, assuming that a vegetation stand type is constituted by one or more structurally distinct pseudo-homogenous layers of vegetation. Vegetation stand types considered are based on the fuel classification and mapping of the BDForêt® <em>2.0 – Corsica.</em> Fuel attributes have been defined to be meaningful at regional/landscape scales and are representative of stand-level characteristics. National Forest Inventory (NFI) data have been mainly used for determining the fuel attributes for forest stand types. The building methods and the different data sources have been detailed in a paper which is under review.</p> <p> The attached dataset consists of two tables and one text document:</p> <p> - The first table (<em>FuelLayersData.csv</em>) contains fuel layers and fuel elements attributes for each vegetation stand type. The table has 15 columns. The first one (<em>CODE_TFV</em>) corresponds to the code assigned to each vegetation stand type following the BDForêt®<em> </em>nomenclature. Next columns, refer to the layer numbering, the stratum of the layer and the species scientific name. After that, next six columns correspond to the layer attributes and four columns correspond to the fuel element attributes. The last column is the diameter at breast height (DBH) for canopy layers. The empty cells in the table indicate that the corresponding attribute is not applicable for this particular layer.</p> <p> - The second table (<em>FuelParticlesData.csv</em>) contains the particle attributes, this is, the surface-to-volume ratio, particles density and low heat content.</p> <p> - The text document (<em>StandTypesDescription.docx</em>) is derived from BDForêt®<em> version 2.0 – Corsica</em> (https://geo.isula.corsica/wp-content/uploads/2021/01/descriptif-contenu-bd_foret-IGN.pdf) and contains a short description of the different stand types considered according to the CODE_TFV.</p> <p>This work was supported by the Agence Nationale de la Recherche, France (grant number ANR-16-CE04-0006 FIRECASTER) and by H2020-EU.3.5. Programme (FIRE-RES, Grant agreement ID: 101037419).</p> <p> </p> <p>Pérez-Ramirez Y, Ferrat L, Filippi JB. (2024) Wildland Fire Fuels Database for Corsican – Mediterranean Forest stand types. Forest Ecology and Management, 565, 122002.</p>
Figure 2 in Genetic structure of Trypanosoma congolense "forest type" circulating in domestic animals and tsetse flies in the South-West region of Cameroon
Figure 2. NJ Tree based on Cavalli-Sforza and Edwards chord distance matrix of T. congolense "forest type" circulating in tsetse flies and domestic animals of Fontem.
Fig. 8 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 8. Dendrogram showing the Bray-Curtis similarity (%) of studied microbiotopes by species diversity of centrohelids. Abbreviations: p.d.s – plant debris and silt; pt – peat from mire's lakes; sn – sand; sph – Sphagnum from hollows; wt – water column.
Fig. 1 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 1. Morphology of living cells of some observed centrohelid species (DIC): A – Acanthocystis nichollsi; B – A. pectinata (from plant debris and silt of Usman' River); C – A. turfacea (from plant debris and silt of Lake Chistoye); D – Raphidocystis symmetrica (from plant debris and silt of Lake Chistoye); E – Choanocystis aculeata (from sand of Lake Maklok); F – Raphidiophrys capitata (from sand of Lake Maklok). Abbreviations: ax – axopodia; pr – protoplast; sc – scales. Scale bar: 20 µm.
Fig. 7 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 7. Morphology of observed scales of unidentified species (TEM): A–C – Heterophrys-like organism (A – from plant debris and silt of Usman' River; B, C – from plant debris and silt of Lake Krugloye; A – whole cell; B, C – spicules), D–F – unidentified Centrohelea sp. (from water column of Lake Vosmerka; D – scales of the single cell; E, F – plate scales). Abbreviations: sp – spicules. Other abbreviation as in Fig. 1. Scale bars: A, D – 10 µm; B, C, E, F – 1 µm.
Fig. 6 in Centrohelid Heliozoans (Centroplasthelida Febvre-Chevalier et Febvre, 1984) from Different Types of Freshwater Bodies in the Middle Russian Forest-steppe
Fig. 6. Morphology of observed scales of Raineriophrys genera (A–C, E, F, I–L – TEM; D, G, H – SEM): A–D – R. echinata (A–C – from peat of Sphagnum bog Klukvennoye-2; D – from Sphagnum of Sphagnum bog Klukvennoye-3), E–H – R. erinaceoides (E, F – from water column of Lake Vosmerka; G, H – from plant debris and silt of Lake Cherepashye), I–L – R. fortesca (I – Vosmerka, J–L – Cherepashye). E, I – scales of the single cell; A–D, F–H, J–L – spine and plate scales. Abbreviations as in Fig. 2, 5. Scale bars: A, E, I – 10 µm; B–D, F – 5 µm; G, H, J–L – 1 µm.
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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
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.