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  • 1
    Publikationsdatum: 2023-10-14
    Beschreibung: Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the projective ground vegetation in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. Ground vegetation was surveyed for different vegetation types within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were chosen for survey. The assignment of a vegetation type is always unique to a site. Their cover on the circular forest plot was recorded in percent. In total, 46 vegetation types at 32 forest plots were assessed. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): AWI_Envi; AWI Arctic Land Expedition; boreal forest; British Columbia, Canada; CA-Land_2022_NWCanada; EN22002; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Event label; Field observation; Forest Change Northwest Canada; ground vegetation; Northwest Territories, Canada; Permafrost; Polar Terrestrial Environmental Systems @ AWI; Vegetation; Vegetation, cover; vegetation survey; Vegetation survey; Vegetation type; VEGSUR; Visual estimation in exact nadir according to Li et al. 2023; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 92 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2023-11-01
    Beschreibung: Above-ground biomass for ground vegetation is given in g per m² for each taxon and different vegetation types at 31 sites. Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the ground vegetation above-ground biomass in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. The ground vegetation above-ground biomass was measured for different vegetation types within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were chosen for the survey. One quadrat of 50x50 cm was harvested per vegetation type. All vegetation smaller than 40 cm was harvested. Biomass harvest was conducted just outside the circular forest plots, which will serve as long-term monitoring sites. Fresh weights were recorded in field and sub sampling conducted if necessary. Samples were later dried at 60°C until a constant weight was achieved and dry weight was recorded. Average ground vegetation biomass per plot was calculated by using a weighted average for each vegetation type. In total 31 forest plots were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): Achillea millefolium, biomass as dry weight; Alnus alnobetula, biomass, dry mass; Andromeda polifolia, biomass, dry mass; Apiaceae, biomass, dry mass; Arctostaphylos uva-ursi, biomass, dry mass; Arctous rubra, biomass, dry mass; AWI_Envi; AWI Arctic Land Expedition; Betula glandulosa, biomass, dry mass; Biomass, aboveground, dry mass; boreal forest; British Columbia, Canada; Burnt vegetation, biomass, dry mass; CA-Land_2022_NWCanada; Carex sp., biomass, dry mass; Chamaenerion angustifolium, biomass, dry mass; Cornus canadensis, biomass, dry mass; Cyperaceae, biomass, dry mass; DATE/TIME; Diphasiastrum complanatum, biomass, dry mass; ELEVATION; Empetrum nigrum, biomass, dry mass; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Equisetum arvense, biomass, dry mass; Equisetum sp., biomass, dry mass; Equisetum sylvaticum, biomass, dry mass; Eriophorum vaginatum, biomass, dry mass; Event label; Fabaceae, biomass, dry mass; Field observation; Forest Change Northwest Canada; Fragaria virginiana, biomass, dry mass; Geocaulon lividum, biomass, dry mass; ground vegetation; Indeterminata, biomass, dry mass; Juniperus communis, biomass, dry mass; Juniperus horizontalis, biomass, dry mass; LATITUDE; Ledum groenlandicum, biomass, dry mass; Ledum palustre, biomass, dry mass; Lichen, biomass, dry mass; Linnaea borealis, biomass, dry mass; Litter, aboveground, biomass, dry mass; Litter and deadwood, biomass, dry mass; LONGITUDE; Moss, biomass, dry mass; Moss and lichen, biomass, dry mass; Northwest Territories, Canada; Orthilia secunda, biomass, dry mass; Oxycoccus microcarpus, biomass, dry mass; Permafrost; Petasites frigidus, biomass, dry mass; Petasites sp., biomass, dry mass; Picea glauca, biomass, dry mass; Picea sp., biomass, dry mass; Platanthera aquilonis, biomass, dry mass; Platanthera obtusata, biomass, dry mass; Poaceae, biomass, dry mass; Poaceae+Cyperaceae, biomass, dry mass; Pocket scale, Conrad Electronic SE, Voltcraft PS-750; Polar Terrestrial Environmental Systems @ AWI; Pyrola chlorantha, biomass, dry mass; Pyrola minor, biomass, dry mass; Ranunculaceae, biomass, dry mass; Rhododendron lapponicum, biomass, dry mass; Rhododendron sp., biomass, dry mass; Rosa acicularis, biomass, dry mass; Rubus chamaemorus, biomass, dry mass; Salix reticulata, biomass, dry mass; Salix sp., biomass, dry mass; Saussurea angustifolia, biomass, dry mass; Saxifragaceae, biomass, dry mass; Shepherdia canadensis, biomass, dry mass; Spiraea stevenii, biomass, dry mass; Vaccinium uliginosum, biomass, dry mass; Vaccinium vitis-idaea, biomass, dry mass; Vegetation; vegetation survey; Vegetation survey; VEGSUR; Viburnum edule, biomass, dry mass; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 1829 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Publikationsdatum: 2023-11-01
    Beschreibung: Above-ground biomass for ground vegetation is given in g per m² for each taxon and different vegetation types at 31 sites. Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the ground vegetation above-ground biomass in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. The ground vegetation above-ground biomass was measured for different vegetation types within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were chosen for the survey. One quadrat of 50x50 cm was harvested per vegetation type. All vegetation smaller than 40 cm was harvested. Biomass harvest was conducted just outside the circular forest plots, which will serve as long-term monitoring sites. Fresh weights were recorded in field and sub sampling conducted if necessary. Samples were later dried at 60°C until a constant weight was achieved and dry weight was recorded. In total 42 quadrats at 31 forest plots were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): Achillea millefolium, biomass as dry weight; Alnus alnobetula, biomass, dry mass; Andromeda polifolia, biomass, dry mass; Apiaceae, biomass, dry mass; Arctostaphylos uva-ursi, biomass, dry mass; Arctous rubra, biomass, dry mass; AWI_Envi; AWI Arctic Land Expedition; Betula glandulosa, biomass, dry mass; Biomass, aboveground, dry mass; boreal forest; British Columbia, Canada; Burnt vegetation, biomass, dry mass; CA-Land_2022_NWCanada; Carex sp., biomass, dry mass; Chamaenerion angustifolium, biomass, dry mass; Cornus canadensis, biomass, dry mass; Cyperaceae, biomass, dry mass; DATE/TIME; Diphasiastrum complanatum, biomass, dry mass; ELEVATION; Empetrum nigrum, biomass, dry mass; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Equisetum arvense, biomass, dry mass; Equisetum sp., biomass, dry mass; Equisetum sylvaticum, biomass, dry mass; Eriophorum vaginatum, biomass, dry mass; Event label; Fabaceae, biomass, dry mass; Field observation; Forest Change Northwest Canada; Fragaria virginiana, biomass, dry mass; Geocaulon lividum, biomass, dry mass; ground vegetation; Indeterminata, biomass, dry mass; Juniperus communis, biomass, dry mass; Juniperus horizontalis, biomass, dry mass; LATITUDE; Ledum groenlandicum, biomass, dry mass; Ledum palustre, biomass, dry mass; Lichen, biomass, dry mass; Linnaea borealis, biomass, dry mass; Litter, aboveground, biomass, dry mass; Litter and deadwood, biomass, dry mass; LONGITUDE; Moss, biomass, dry mass; Moss and lichen, biomass, dry mass; Northwest Territories, Canada; Orthilia secunda, biomass, dry mass; Other event; Oxycoccus microcarpus, biomass, dry mass; Permafrost; Petasites frigidus, biomass, dry mass; Petasites sp., biomass, dry mass; Picea glauca, biomass, dry mass; Picea sp., biomass, dry mass; Platanthera aquilonis, biomass, dry mass; Platanthera obtusata, biomass, dry mass; Poaceae, biomass, dry mass; Poaceae+Cyperaceae, biomass, dry mass; Pocket scale, Conrad Electronic SE, Voltcraft PS-750; Polar Terrestrial Environmental Systems @ AWI; Pyrola chlorantha, biomass, dry mass; Pyrola minor, biomass, dry mass; Ranunculaceae, biomass, dry mass; Rhododendron lapponicum, biomass, dry mass; Rhododendron sp., biomass, dry mass; Rosa acicularis, biomass, dry mass; Rubus chamaemorus, biomass, dry mass; Salix reticulata, biomass, dry mass; Salix sp., biomass, dry mass; Saussurea angustifolia, biomass, dry mass; Saxifragaceae, biomass, dry mass; Shepherdia canadensis, biomass, dry mass; Spiraea stevenii, biomass, dry mass; Vaccinium uliginosum, biomass, dry mass; Vaccinium vitis-idaea, biomass, dry mass; Vegetation; vegetation survey; Vegetation survey; VEGSUR; Viburnum edule, biomass, dry mass; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 2520 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    Publikationsdatum: 2023-10-14
    Beschreibung: Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the projective ground vegetation in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. The ground vegetation projective cover in percent was assessed within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were surveyed separately. The assignment of a vegetation type is always unique to a site. Up to four quadrats of 2x2 m were surveyed per vegetation type and projective cover in percent recorded separately for herbaceous and moss layers. Additionally, ground vegetation projective cover was surveyed in 4 rings of 50 cm width around the center of the circular forest plot. Average projective cover per plot was calculated by using an average weighted by vegetation types for each site. The ring survey data was not included in the plot average. In total 32 forest plots were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): AWI_Envi; AWI Arctic Land Expedition; boreal forest; British Columbia, Canada; Burnt vegetation, cover; CA-Land_2022_NWCanada; DATE/TIME; Deadwood, cover; ELEVATION; EN22002; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Event label; Field observation; Forest Change Northwest Canada; ground vegetation; LATITUDE; Lichen, cover; Litter, cover; Litter and deadwood, cover; LONGITUDE; Moss, cover; Northwest Territories, Canada; Permafrost; Polar Terrestrial Environmental Systems @ AWI; Stones, cover; Vegetation; vegetation survey; Vegetation survey; VEGSUR; Visual estimation in exact nadir according to Li et al. 2023; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 224 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
    Publikationsdatum: 2023-10-14
    Beschreibung: Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the projective ground vegetation in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. The ground vegetation projective cover in percent was assessed within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were surveyed separately. The assignment of a vegetation type is always unique to a site. Up to four quadrats of 2x2 m were surveyed per vegetation type and projective cover in percent recorded separately for herbaceous and moss layers. Additionally, ground vegetation projective cover was surveyed in 4 rings of 50 cm width around the center of the circular forest plot. Photos of quadrats were taken at the time of survey. In total 201 quadrats and rings at 32 forest plots were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): AWI_Envi; AWI Arctic Land Expedition; boreal forest; British Columbia, Canada; Burnt vegetation, cover; CA-Land_2022_NWCanada; DATE/TIME; Deadwood, cover; ELEVATION; EN22002; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Event label; Field observation; Forest Change Northwest Canada; ground vegetation; LATITUDE; Lichen, cover; Litter, cover; Litter and deadwood, cover; LONGITUDE; Moss, cover; Northwest Territories, Canada; Other event; Permafrost; Polar Terrestrial Environmental Systems @ AWI; Stones, cover; Vegetation; vegetation survey; Vegetation survey; VEGSUR; Visual estimation in exact nadir according to Li et al. 2023; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 1608 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 6
    Publikationsdatum: 2024-01-10
    Schlagwort(e): 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 12-KO-02; 12-KO-03; 12-KO-04; 12-KO-05; 13-TY-02-VI; 13-TY-02-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-11-V3; 14-OM-20-V4; 14-OM-TRANS1; 14-OM-TRANS2; 14-OM-TRANS3; 14-OM-TRANS4; 14-OM-TRANS5; 14-OM-TRANS6; 14-OM-TRANS6-7; 16-KP-01-EN18001; 16-KP-01-EN18002; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18008; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18011; 16-KP-01-EN18012; 16-KP-01-EN18013; 16-KP-01-EN18014; 16-KP-01-EN18015; 16-KP-01-EN18016; 16-KP-01-EN18017; 16-KP-01-EN18018; 16-KP-01-EN18019; 16-KP-01-EN18020; 16-KP-01-EN18021; 16-KP-01-EN18022; 16-KP-01-EN18023; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-04-EN18051; 16-KP-04-EN18052; 16-KP-04-EN18053; 16-KP-04-EN18054; 16-KP-04-EN18055; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V07; 16-KP-V08; 16-KP-V09; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V23; 16-KP-V24; 16-KP-V25; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V33; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 16-KP-V40; 16-KP-V41; 16-KP-V42; 16-KP-V43; 16-KP-V44; 16-KP-V45; 16-KP-V46; 16-KP-V47; 16-KP-V48; 16-KP-V49; 16-KP-V50; 16-KP-V51; 16-KP-V52; 16-KP-V53; 16-KP-V54; 16-KP-V55; 16-KP-V56; 16-KP-V57; 16-KP-V58; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18033; 18-BIL-02-EN18034; 18-BIL-02-EN18035; 18-LD-VP012-Tit-Ary; Area; Area/locality; AWI_Envi; AWI Arctic Land Expedition; B19-T1; B19-T2; Batagay 2019; Campaign; Central Yakutia; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; ELEVATION; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_end; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21201; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21208; EN21209; EN21210; EN21211; EN21212; EN21213; EN21214; EN21215; EN21216; EN21217; EN21218; EN21219; EN21220; EN21221; EN21222; EN21223; EN21224; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21243; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21257; EN21258; EN21259; EN21260; EN21261; EN21262; EN21263; EN21264; Event label; Forest; Forest type; FTa; FTc; FTe; Genus; Gini coefficient; HAND; Height, maximum; Height, quantile; Individual Trees; Keperveem_2016; Kolyma, Russia; Kytalyk-Pokhodsk_2012, Kolyma2012; LATITUDE; Lena 2018; LONGITUDE; Mean values; Median values; MULT; Multiple investigations; Number of species; Number of trees; Omoloy2014; Plot; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; Quantile (25th); Quantile (75th); Quantile (90th); Quantile (98th); Reference/source; RU-Land_2011_Khatanga; RU-Land_2012_Kytalyk_Kolyma; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Lena; RU-Land_2018_Yakutia; RU-Land_2019_Batagay; RU-Land_2021_Yakutia; Sampling by hand; Shannon Diversity Index; Siberia; Site; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, volume, conical; Tree, volume, smallian; Tree density; Tree height; Trees, basal area; Trees, volume, conical; Trees, volume, smallian; TY04VI; TY04VII; TY07VI; TY07VII; TY09VI; TY09VII; Vegetation survey; VEGSUR; Yakutia
    Materialart: Dataset
    Format: text/tab-separated-values, 7323 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 7
    Publikationsdatum: 2024-01-10
    Beschreibung: The data set presents more than 32,000 of about 40,000 trees, which were surveyed during several Russian-German expeditions by the North-Eastern Federal University Yakutsk and the Alfred-Wegener-Institute Potsdam in the North-East of the Russian Federation between the years 2011 and 2021. The purpose was to gather information on trees and forests in this region, which was then used to understand tree line migration, stand infilling and natural disturbance and succession processes and to initialize and validate a forest model. Trees are located on more than 160 vegetation plots, each of which has a size of several hundred square meters. For every tree, height was estimated, and the species recorded, while a few individuals were subject to more detailed inventory. This table contains every standing tree of at least 40 cm height that was encountered on the vegetation plots described in the Plot Data Base. It partially overlaps with the dataset “Tree data set from forest inventories in north-eastern Siberia - Tree measurements.” (doi: 10.1594/PANGAEA.949861), which additionally contains details on small or lying deadwood.
    Schlagwort(e): 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 13-TY-02-VI; 13-TY-02-VII; 13-TY-04-VI; 13-TY-04-VII; 13-TY-07-VI; 13-TY-07-VII; 13-TY-09-VI; 13-TY-09-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-20-V4; 16-KP-01-EN18001; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18012; 16-KP-01-EN18014; 16-KP-01-EN18021; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V08; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18034; 18-BIL-02-EN18035; AWI_Envi; AWI Arctic Land Expedition; Campaign; Central Yakutia; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21209; EN21211; EN21212; EN21213; EN21215; EN21217; EN21219; EN21221; EN21222; EN21223; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21258; EN21259; EN21260; EN21261; Event label; Field observation; Forest; Genus; Growth form; HAND; Individual Trees; Keperveem_2016; LATITUDE; Latitude, center; LONGITUDE; Longitude, center; Maximum; Omoloy2014; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; RU-Land_2011_Khatanga; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Yakutia; RU-Land_2021_Yakutia; Sampling by hand; Siberia; Species; Subsample ID; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, crown base; Tree, diameter, at base; Tree, survey protocol; Tree, volume, conical; Tree, volume, smallian; Tree crown diameter; Tree height; Tree ID; Trees, diameter at breast height; Vegetation survey; VEGSUR; Vitality; Yakutia
    Materialart: Dataset
    Format: text/tab-separated-values, 578779 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 8
    Publikationsdatum: 2024-02-16
    Schlagwort(e): 11-CH-02II; 11-CH-02III; 11-CH-06I; 11-CH-06III; 11-CH-06-IV; 11-CH-06-V; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 11-CH-P3-I; 12-KO-02; 12-KO-03; 12-KO-04; 13-TY-02-VI; 13-TY-02-VII; 13-TY-04-VI; 13-TY-04-VII; 13-TY-07-VI; 13-TY-07-VII; 13-TY-09-VI; 13-TY-09-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-20-V4; 14-OM-TRANS1; 14-OM-TRANS2; 14-OM-TRANS3; 14-OM-TRANS4; 14-OM-TRANS5; 14-OM-TRANS6; 14-OM-TRANS6-7; 16-KP-01-EN18001; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18008; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18011; 16-KP-01-EN18012; 16-KP-01-EN18013; 16-KP-01-EN18014; 16-KP-01-EN18015; 16-KP-01-EN18016; 16-KP-01-EN18017; 16-KP-01-EN18021; 16-KP-01-EN18022; 16-KP-01-EN18023; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V07; 16-KP-V08; 16-KP-V09; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V21; 16-KP-V22; 16-KP-V23; 16-KP-V24; 16-KP-V25; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V33; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18033; 18-BIL-02-EN18034; 18-BIL-02-EN18035; 18-LD-VP012-Tit-Ary; AWI_Envi; AWI Arctic Land Expedition; B19-T1; B19-T2; Batagay 2019; Campaign; Central Yakutia; CH06LP02; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18067-70; EN18067-70 Lager Mirny Weatherstation near; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18070_transition; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18082; EN18083; EN21201; EN21202; EN21203; EN21204; EN21205; EN21206; EN21207; EN21209; EN21211; EN21212; EN21213; EN21215; EN21217; EN21219; EN21221; EN21222; EN21223; EN21225; EN21226; EN21227; EN21228; EN21229; EN21230; EN21231; EN21232; EN21233; EN21234; EN21235; EN21236; EN21237; EN21238; EN21239; EN21240; EN21241; EN21242; EN21244; EN21245; EN21246; EN21247; EN21248; EN21249; EN21250; EN21251; EN21252; EN21253; EN21254; EN21255; EN21256; EN21258; EN21259; EN21260; EN21261; Event label; Forest; Genus; Growth form; HAND; Individual Trees; Keperveem_2016; Kolyma, Russia; Kytalyk-Pokhodsk_2012, Kolyma2012; LATITUDE; Latitude, center; Lena 2018; LONGITUDE; Longitude, center; MULT; Multiple investigations; Omoloy2014; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; RU-Land_2011_Khatanga; RU-Land_2012_Kytalyk_Kolyma; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Lena; RU-Land_2018_Yakutia; RU-Land_2019_Batagay; RU-Land_2021_Yakutia; Sampling by hand; Siberia; Species; Subsample ID; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, crown base; Tree, diameter, at base; Tree, survey protocol; Tree, volume, conical; Tree, volume, smallian; Tree crown diameter; Tree height; Tree ID; Trees, diameter at breast height; Vegetation survey; VEGSUR; Village_Khayyr; Village Khayyr, Ust-Yansky Ulus; Vitality; Yakutia
    Materialart: Dataset
    Format: text/tab-separated-values, 762029 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 9
    Publikationsdatum: 2024-02-16
    Beschreibung: The data set presents more than 12,000 of about 40,000 trees, which were surveyed during several Russian-German expeditions by the North-Eastern Federal University Yakutsk and the Alfred-Wegener-Institute Potsdam in the North-East of the Russian Federation between the years 2011 and 2021. The purpose was to gather information on trees and forests in this region, which was then used to understand tree line migration, stand infilling and natural disturbance and succession processes and to initialize and validate a forest model. Trees are located on more than 160 vegetation plots, each of which has a size of several hundred square meters. For every tree, height was estimated, and the species recorded. Some individuals were subject to more detailed inventory, including diameters at base and at breast height, crown diameters, and other information. This table partially overlaps with the data set: “Tree data set from forest inventories in north-eastern Siberia - Tree heights.” (doi: 10.1594/PANGAEA.949863), but includes all tree measurements as well as all inventoried trees, which were not included in the Tree heights dataset due to small or lying deadwood.
    Schlagwort(e): 11-CH-06I; 11-CH-06III; 11-CH-06-IV; 11-CH-06-V; 11-CH-12I; 11-CH-12II; 11-CH-17I; 11-CH-17II; 11-CH-P3-I; 12-KO-02; 12-KO-03; 12-KO-04; 13-TY-02-VI; 13-TY-02-VII; 13-TY-04-VI; 13-TY-04-VII; 13-TY-07-VI; 13-TY-07-VII; 13-TY-09-VI; 13-TY-09-VII; 14-OM-02-V1; 14-OM-02-V2; 14-OM-20-V4; 14-OM-TRANS2; 14-OM-TRANS3; 14-OM-TRANS4; 14-OM-TRANS5; 14-OM-TRANS6; 14-OM-TRANS6-7; 16-KP-01-EN18001; 16-KP-01-EN18003; 16-KP-01-EN18004; 16-KP-01-EN18005; 16-KP-01-EN18006; 16-KP-01-EN18007; 16-KP-01-EN18008; 16-KP-01-EN18009; 16-KP-01-EN18010; 16-KP-01-EN18011; 16-KP-01-EN18012; 16-KP-01-EN18013; 16-KP-01-EN18014; 16-KP-01-EN18015; 16-KP-01-EN18016; 16-KP-01-EN18017; 16-KP-01-EN18021; 16-KP-01-EN18022; 16-KP-01-EN18023; 16-KP-01-EN18024; 16-KP-01-EN18025; 16-KP-01-EN18026; 16-KP-01-EN18027; 16-KP-V01; 16-KP-V02; 16-KP-V03; 16-KP-V04; 16-KP-V05; 16-KP-V06; 16-KP-V07; 16-KP-V08; 16-KP-V09; 16-KP-V10; 16-KP-V11; 16-KP-V12; 16-KP-V13; 16-KP-V14; 16-KP-V15; 16-KP-V16; 16-KP-V17; 16-KP-V18; 16-KP-V19; 16-KP-V20; 16-KP-V26; 16-KP-V27; 16-KP-V28; 16-KP-V29; 16-KP-V30; 16-KP-V31; 16-KP-V32; 16-KP-V33; 16-KP-V34; 16-KP-V35; 16-KP-V36; 16-KP-V37; 16-KP-V38; 16-KP-V39; 18-BIL-00-EN18000; 18-BIL-01-EN18028; 18-BIL-01-EN18029; 18-BIL-02-EN18030; 18-BIL-02-EN18031; 18-BIL-02-EN18032; 18-BIL-02-EN18033; 18-BIL-02-EN18034; 18-BIL-02-EN18035; 18-LD-VP012-Tit-Ary; AWI_Envi; AWI Arctic Land Expedition; B19-T1; B19-T2; Batagay 2019; Campaign; Central Yakutia; CH06LP02; Chatanga2011; Chukotka; Chukotka 2018; Comment; DATE/TIME; EN18061; EN18062; EN18063; EN18064; EN18065; EN18066; EN18067; EN18067-70; EN18067-70 Lager Mirny Weatherstation near; EN18068; EN18069; EN18070_centre; EN18070_edge; EN18071; EN18072; EN18073; EN18074; EN18075; EN18076; EN18077; EN18078; EN18079; EN18080; EN18081; EN18083; EN21247; EN21249; EN21250; EN21251; EN21252; Event label; Field observation; Forest; Genus; Growth form; HAND; Individual Trees; Keperveem_2016; Kolyma, Russia; Kytalyk-Pokhodsk_2012, Kolyma2012; LATITUDE; Latitude, center; Lena 2018; LONGITUDE; Longitude, center; Maximum; MULT; Multiple investigations; Omoloy2014; Polar Terrestrial Environmental Systems @ AWI; Principal investigator; RU-Land_2011_Khatanga; RU-Land_2012_Kytalyk_Kolyma; RU-Land_2013_Taymyr; RU-Land_2014_Omoloy; RU-Land_2016_Keperveem; RU-Land_2018_Chukotka; RU-Land_2018_Lena; RU-Land_2018_Yakutia; RU-Land_2019_Batagay; RU-Land_2021_Yakutia; Sampling by hand; Siberia; Species; Subsample ID; Taymyr; Taymyr2013; Tree, basal area, at base; Tree, basal area, at breast height; Tree, crown base; Tree, diameter, at base; Tree, survey protocol; Tree, volume, conical; Tree, volume, smallian; Tree crown diameter; Tree height; Tree ID; Trees, diameter at breast height; Vegetation survey; VEGSUR; Vitality; Yakutia
    Materialart: Dataset
    Format: text/tab-separated-values, 183236 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 10
    Publikationsdatum: 2024-02-01
    Beschreibung: Vegetation surveys were carried out in Northwest Territories, Yukon and British Columbia in Canada. The study area is within the boreal forest biome and is partially underlain by permafrost soils. The aim was to record the projective ground vegetation in different boreal forest types studied during the CA-Land_2022_NWCanada field campaign in July and August 2022. The ground vegetation projective cover in percent was assessed within a circular forest plot of 15m radius. Depending on the heterogeneity of the forest plot, multiple vegetation types (VA, VB, or VC) were surveyed separately. The assignment of a vegetation type is always unique to a site. Up to four quadrats of 2x2 m were surveyed per vegetation type and projective cover in percent recorded separately for herbaceous and moss layers. All vegetation smaller than 40cm was recorded. Additionally, ground vegetation projective cover was surveyed in 4 rings of 50 cm width around the center of the circular forest plot. Average projective cover per plot was calculated by using an average weighted by vegetation types for each site. The ring survey data was not included in the plot average. In total 32 forest plots were investigated. All data were collected by scientists from the Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research (AWI) Germany, and the University of Potsdam Germany.
    Schlagwort(e): Abies lasiocarpa, cover; Achillea millefolium, cover; Alnus alnobetula, cover; Alnus sp., cover; Anemone parviflora, cover; Apiaceae, cover; Arctagrostis latifolia, cover; Arctostaphylos uva-ursi, cover; Arctous rubra, cover; AWI_Envi; AWI Arctic Land Expedition; Betula glandulosa, cover; Betula occidentalis, cover; Bistorta plumosa, cover; Bistorta vivipara, cover; boreal forest; British Columbia, Canada; CA-Land_2022_NWCanada; Carex scirpoidea, cover; Carex sp., cover; Chamaenerion angustifolium, cover; Cornus canadensis, cover; Cyperaceae, cover; Dasiphora fruticosa, cover; DATE/TIME; Deadwood, cover; Diphasiastrum complanatum, cover; Drosera rotundifolia, cover; Dryas integrifolia, cover; ELEVATION; Empetrum nigrum, cover; EN22002; EN22003; EN22004; EN22005; EN22006; EN22007; EN22008; EN22009; EN22010; EN22011; EN22012; EN22018; EN22019; EN22020; EN22021; EN22032; EN22033; EN22034; EN22037; EN22039; EN22046; EN22047; EN22049; EN22052; EN22055; EN22058; EN22060; EN22062; EN22063; EN22065; EN22069; EN22071; Equisetum arvense, cover; Equisetum sp., cover; Equisetum sylvaticum, cover; Eriophorum sp., cover; Eriophorum vaginatum, cover; Event label; Fabaceae, cover; Festuca altaica, cover; Field observation; Forest Change Northwest Canada; Fragaria virginiana, cover; Galium sp., cover; Geocaulon lividum, cover; Geraniaceae, cover; ground vegetation; Hedysarum alpinum, cover; Indeterminata, cover; Juniperus communis, cover; Juniperus horizontalis, cover; Kalmia procumbens, cover; LATITUDE; Ledum groenlandicum, cover; Ledum palustre, cover; Ledum sp., cover; Linnaea borealis, cover; LONGITUDE; Lupinus arcticus, cover; Mertensia paniculata, cover; Northwest Territories, Canada; Orthilia secunda, cover; Pedicularis labradorica, cover; Pedicularis sp., cover; Permafrost; Petasites frigidus, cover; Petasites sp., cover; Picea glauca, cover; Picea mariana, cover; Platanthera aquilonis, cover; Platanthera obtusata, cover; Poaceae, cover; Polar Terrestrial Environmental Systems @ AWI; Pyrola asarifolia, cover; Pyrola chlorantha, cover; Pyrola grandiflora, cover; Pyrola minor, cover; Pyrola sp., cover; Ranunculaceae, cover; Rhododendron lapponicum, cover; Rhododendron sp., cover; Ribes sp., cover; Rosa acicularis, cover; Rubus chamaemorus, cover; Rumex arcticus, cover; Salix pulchra, cover; Salix reticulata, cover; Salix sp., cover; Saussurea angustifolia, cover; Saxifragaceae, cover; Senecio lugens, cover; Shepherdia canadensis, cover; Sorbus aucuparia, cover; Spinulum annotinum, cover; Spiraea stevenii, cover; Tofieldia pusilla, cover; Vaccinium microcarpum, cover; Vaccinium uliginosum, cover; Vaccinium vitis-idaea, cover; Vegetation; vegetation survey; Vegetation survey; VEGSUR; Viburnum edule, cover; Visual estimation in exact nadir according to Li et al. 2023; Yukon, Canada
    Materialart: Dataset
    Format: text/tab-separated-values, 2656 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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