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  • 1
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    Towards a better understanding of Siberian wildfires: linking paleoenvironmental fire reconstructions with an individual-based spatially explicit fire-vegetation model (2021)
    In:  EPIC3EGU General Assembly 2021, 2021-04-19-2021-04-30Towards a better understanding of Siberian wildfires: linking paleoenvironmental fire reconstructions with an individual-based spatially explicit fire-vegetation model
    Details
    Publication Date: 2021-04-05
    Description: Wildfires are an essential ecological process, located at the interface between atmosphere, biosphere, and geosphere. Climate-related changes in their appearance and frequency will shape the boreal forest of tomorrow, the largest terrestrial biome responsible for numerous important ecosystem functions. Changing fire regimes could also increase pressure on fire management and become a threat for humans living in Siberia. However, a lack of long-term fire reconstructions complicates the understanding of the main drivers in the larch-dominated forests of eastern Siberia. At the same time, this lack of long-term understanding also aggravates the validation of fire-vegetation models, and thus predictions of future changes of fire regimes in this vital region. Here, we present a new fire module being built for the individual-based, spatially explicit vegetation model LAVESI (Larix Vegetation Simulator). LAVESI is able to simulate fine-scale interactions in individual tree’s life stages and detailed population dynamics, now expanded by the ability of wildfires igniting and damaging biomass. Fire-vegetation simulations were computed around the catchment of Lake Khamra (SW Yakutia), which experienced forest fires in the years 2007 and 2014 according to remote sensing imagery. From the lake, we previously contributed a new, sedimentary charcoal-based fire reconstruction of the late Holocene. Testing the fire module at a current study site, where modern and historic data has already been collected, allows us to improve it, and look into ways in which the fire reconstruction might help inform the model, before eventually scaling it up to cover larger regions. This represents a first step towards a reliable fire-vegetation model, able to predict future impacts of fires on both the forests of eastern Siberia, as well as the humans living there.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 2
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    Simulating wildfire impacts on boreal forest structure over the past 20,000 years since the Last Glacial Maximum in Central Yakutia, Siberia
    Copernicus
    In:  EPIC3Copernicus
    Details
    Publication Date: 2023-02-28
    Description: Even though wildfires are an important ecological component of larch-dominated boreal forests in eastern Siberia, intensifying fire regimes may induce large-scale shifts in forest structure and composition. Recent paleoecological research suggests that such a state change, apart from threatening human livelihoods, may result in a positive feedback on intensifying wildfires and increased permafrost degradation [1]. Common fire-vegetation models mostly do not explicitly include detailed individual-based tree population dynamics. However, setting a focus on patterns of forest structure emerging from interactions among individual trees in the unique forest system of eastern Siberia may provide beneficial perspectives on the impacts of changing fire regimes. LAVESI (Larix Vegetation Simulator) has been previously introduced as an individual-based, spatially explicit vegetation model for simulating fine-scale tree population dynamics [2]. It has since been expanded with wind-driven pollen dispersal, landscape topography, and the inclusion of multiple tree species. However, until now, it could not be used to simulate effects of changing fire regimes on those detailed tree population dynamics. We present simulations of annually computed tree populations during the past c. 20,000 years in LAVESI, while applying a newly implemented fire module. Wildfire ignitions can stochastically occur depending on the monthly fire weather. Within the affected area, fire intensity is mediated by surface moisture. Fire severity depends on the intensity, with scaled impacts on trees, seeds and the litter layer. Each tree has a chance to survive wildfires based on a resistivity estimated from its height and species-specific traits of bark thickness, crown height, and their ability to resprout. The modelled annual fire probability compares well with a local reconstruction of charcoal influx in lake sediments. Simulation results at a study site in Central Yakutia, Siberia, indicate that the inclusion of wildfires leads to a higher number of tree individuals and increased population size variability compared to simulations without fires. In the Late Pleistocene forests establish earlier when wildfires can occur. The new fire component enables LAVESI to serve as a tool to analyze effects of varying fire return intervals and fire intensities on long-term tree population dynamics, improving our understanding of potential state transitions in the Siberian boreal forest. References: [1] Glückler R. et al.: Holocene wildfire and vegetation dynamics in Central Yakutia, Siberia, reconstructed from lake-sediment proxies, Frontiers in Ecology and Evolution 10, 2022. [2] Kruse S. et al.: Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix, Ecological Modelling 338, 101–121, 2016.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 3
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    Simulating long-term wildfire impacts on boreal forest structure in Central Yakutia, Siberia, since the Last Glacial Maximum (2024)
    Springer Nature
    In:  EPIC3Fire Ecology, Springer Nature, 20(1), pp. 1-1, ISSN: 1933-9747
    Details
    Publication Date: 2024-03-19
    Description: Background: Wildfires are recognized as an important ecological component of larch-dominated boreal forests in eastern Siberia. However, long-term fire-vegetation dynamics in this unique environment are poorly understood. Recent paleoecological research suggests that intensifying fire regimes may induce millennial-scale shifts in forest structure and composition. This may, in turn, result in positive feedback on intensifying wildfires and permafrost degradation, apart from threatening human livelihoods. Most common fire-vegetation models do not explicitly include detailed individual-based tree population dynamics, but a focus on patterns of forest structure emerging from interactions among individual trees may provide a beneficial perspective on the impacts of changing fire regimes in eastern Siberia. To simulate these impacts on forest structure at millennial timescales, we apply the individual-based, spatially explicit vegetation model LAVESI-FIRE, expanded with a new fire module. Satellite-based fire observations along with fieldwork data were used to inform the implementation of wildfire occurrence and adjust model parameters. Results: Simulations of annual forest development and wildfire activity at a study site in the Republic of Sakha (Yakutia) since the Last Glacial Maximum (c. 20,000 years BP) highlight the variable impacts of fire regimes on forest structure throughout time. Modeled annual fire probability and subsequent burned area in the Holocene compare well with a local reconstruction of charcoal influx in lake sediments. Wildfires can be followed by different forest regeneration pathways, depending on fire frequency and intensity and the pre-fire forest conditions. We find that medium-intensity wildfires at fire return intervals of 50 years or more benefit the dominance of fire-resisting Dahurian larch (Larix gmelinii (Rupr.) Rupr.), while stand-replacing fires tend to enable the establishment of evergreen conifers. Apart from post-fire mortality, wildfires modulate forest development mainly through competition effects and a reduction of the model’s litter layer. Conclusion: With its fine-scale population dynamics, LAVESI-FIRE can serve as a highly localized, spatially explicit tool to understand the long-term impacts of boreal wildfires on forest structure and to better constrain interpretations of paleoecological reconstructions of fire activity.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 4
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    Evolutionary adaptation of trees and modelled future larch forest extent in Siberia (2023)
    Elsevier
    In:  EPIC3Ecological Modelling, Elsevier, 478, pp. 110278-110278, ISSN: 0304-3800
    Details
    Publication Date: 2024-03-19
    Description: With changing climate, the boreal forest could potentially migrate north and become threatened by droughts in the south. However, whether larches, the dominant tree species in eastern Siberia, can adapt to novel situations is largely unknown but is crucial for predicting future population dynamics. Exploring variable traits and trait adaptation through inheritance in an individual-based model can improve our understanding and help future projections. We updated the individual-based spatially explicit vegetation model LAVESI (Larix Vegetation Simulator), used for forest predictions in Eastern Siberia, with trait value variation and incorporated inheritance of parental values to their offspring. Forcing the model with both past and future climate projections, we simulated two areas – the expanding northern treeline and a southerly area experiencing drought. While the specific trait of ‘seed weight’ regulates migration, the abstract ‘drought resistance’ protects stands. We show that trait variation with inheritance leads to an increase in migration rate (∼ 3% area increase until 2100). The drought resistance simulations show that, under increasing stress, including adaptive traits leads to larger surviving populations (17% of threatened under RCP 4.5 (Representative Concentration Pathway)). We show that with the increase expected under the RCP 8.5 scenario vast areas (80% of the extrapolated area) of larch forest are threatened and could disappear due to drought as adaptation plays only a minor role under strong warming. We conclude that variable traits facilitate the availability of variants under environmental changes. Inheritance allows populations to adapt to environments and promote successful traits, which leads to populations that can spread faster and be more resilient, provided the changes are not too drastic in both time and magnitude. We show that trait variation and inheritance contribute to more accurate models that can improve our understanding of responses of boreal forests to global change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 5
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    Novel coupled permafrost–forest model (LAVESI–CryoGrid v1.0) revealing the interplay between permafrost, vegetation, and climate across eastern Siberia (2022)
    Copernicus GmbH
    In:  EPIC3Geoscientific Model Development, Copernicus GmbH, 15(6), pp. 2395-2422, ISSN: 1991-959X
    Details
    Publication Date: 2024-05-16
    Description: 〈jats:p〉Abstract. Boreal forests of Siberia play a relevant role in the global carbon cycle. However, global warming threatens the existence of summergreen larch-dominated ecosystems, likely enabling a transition to evergreen tree taxa with deeper active layers. Complex permafrost–vegetation interactions make it uncertain whether these ecosystems could develop into a carbon source rather than continuing atmospheric carbon sequestration under global warming. Consequently, shedding light on the role of current and future active layer dynamics and the feedbacks with the apparent tree species is crucial to predict boreal forest transition dynamics and thus for aboveground forest biomass and carbon stock developments. Hence, we established a coupled model version amalgamating a one-dimensional permafrost multilayer forest land-surface model (CryoGrid) with LAVESI, an individual-based and spatially explicit forest model for larch species (Larix Mill.), extended for this study by including other relevant Siberian forest species and explicit terrain. Following parameterization, we ran simulations with the coupled version to the near future to 2030 with a mild climate-warming scenario. We focus on three regions covering a gradient of summergreen forests in the east at Spasskaya Pad, mixed summergreen–evergreen forests close to Nyurba, and the warmest area at Lake Khamra in the southeast of Yakutia, Russia. Coupled simulations were run with the newly implemented boreal forest species and compared to runs allowing only one species at a time, as well as to simulations using just LAVESI. Results reveal that the coupled version corrects for overestimation of active layer thickness (ALT) and soil moisture, and large differences in established forests are simulated. We conclude that the coupled version can simulate the complex environment of eastern Siberia by reproducing vegetation patterns, making it an excellent tool to disentangle processes driving boreal forest dynamics. 〈/jats:p〉
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , NonPeerReviewed
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  • 6
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    Projective cover of ground vegetation types at 32 sites in Northwestern Canada, in Summer 2022 (CA-Land_2022_NWCanada) (2023)
    PANGAEA
    Details
    Publication Date: 2023-10-14
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 92 data points
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  • 7
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    Aggregated ground vegetation above-ground biomass at 31 sites in Northwestern Canada, in Summer 2022 (CA-Land_2022_NWCanada) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-01
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 1829 data points
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  • 8
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    Raw plot-wise ground vegetation above-ground biomass at 31 sites in Northwestern Canada, in Summer 2022 (CA-Land_2022_NWCanada) (2023)
    PANGAEA
    Details
    Publication Date: 2023-11-01
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 2520 data points
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  • 9
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    Aggregated moss layer projective vegetation cover at 32 sites in Northwestern Canada, in Summer 2022 (CA-Land_2022_NWCanada) (2023)
    PANGAEA
    Details
    Publication Date: 2023-10-14
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 224 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
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    Raw moss layer projective cover at 32 sites in Northwester Canada, in Summer 2022 (CA-Land_2022_NWCanada) (2023)
    PANGAEA
    Details
    Publication Date: 2023-10-14
    Description: 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.
    Keywords: 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
    Type: Dataset
    Format: text/tab-separated-values, 1608 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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