데이터셋 상세
캐나다
Regeneration on Linear Developments Subject to Wildfires in a Zone of Continuous Permafrost.
With assistance from the Yukon Oil and Gas Branch, EDI Environmental Dynamics Inc. developed and submitted a proposal to the Mining and Petroleum Environmental Research Group (MPERG) to conduct a study of vegetation regeneration on linear developments subject to wildfires, specifically on and in the vicinity of the winter access road leading to test well site K- 58, beginning in the first post-fire growing season. The study site was located in sub-arctic, black spruce (Picea mariana) dominated forest in a zone of continuous permafrost in the area of Eagle Plains, YT. The study examined vegetation composition and abundance, as well as soil and permafrost conditions, in four types of linear disturbances, including: 1) burned 30+ year old seismic lines; 2) a burned one-year-old winter road; 3) the same burned one-year-old winter road constructed on an existing, 30+ year old seismic line, and; 4) unburned 30+ year old seismic lines. A total of 73 (200m2) paired vegetation plots were completed within each of the above linear disturbances and adjacent forests. Overall, the vegetation was highly uniform among all types of linear disturbances and undisturbed sites in the study area. Differences in species composition and abundance were most pronounced between the burned and unburned sites, with a greater number of species present and higher vegetation cover in unburned sites. Of the three types of linear disturbances sampled, the combined disturbance of the burned one year old winter road constructed on a 30+ year old seismic line demonstrated the most notable differences in vegetation composition and abundance in comparison with the adjacent forest. In contrast, species composition and abundance in the burned winter road and burned 30+ year old seismic line were more similar to that in adjacent, burned forests. No trends in soil moisture were detected among the various disturbance types. Depth to permafrost was slightly lower in all three linear disturbances, but this difference was not significant. Depth of organic soil was significantly lower in the combined disturbance of the burned one year old winter road constructed on a 30+ year old seismic line, and was significantly higher in the burned winter road, when compared to adjacent, burned forests. Moss depth was significantly higher in unburned than burned sites. In the first post-fire year, this recent burn appears to be the dominant factor affecting vegetation composition and abundance in the study area. Re-vegetation is occurring rapidly on linear disturbances, with the dominant vascular plant species in the unburned, undisturbed forest regenerating across all disturbance types. Because the study was completed in the first post-fire growing season, it was not possible to assess regeneration of black spruce, an important structural species that is not reported to begin to regenerate until several years after a burn. Similarly, it was also not possible to assess lichen re-establishment, an important element of vegetation succession in black spruce forest that also re-establishes later than the first post-fire growing season. Continued monitoring will be required to understand the longer term response of vegetation to fire in linear disturbances.
연관 데이터
Permafrost Vegetation Observations; Alaska, 2014
공공데이터포털
Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to fire-induced change. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. Geophysical and other field observations reveal details of both near-surface (less than 1 m) and deeper (greater than 1 m) impacts of fire on permafrost along 11 transects that span burned-unburned boundaries in different landscape settings within interior Alaska. Data collected along the 11 transect locations include: electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), active layer thickness (ALT), organic layer thickness (OLT), and plant species cover. These geospatial datasets are the foundation for the journal article, "Evidence for non-uniform permafrost degradation after fire in boreal landscapes", published in the Journal of Geophysical Research - Earth Surface.
Permafrost Vegetation Observations; Alaska, 2014
공공데이터포털
Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to fire-induced change. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. Geophysical and other field observations reveal details of both near-surface (less than 1 m) and deeper (greater than 1 m) impacts of fire on permafrost along 11 transects that span burned-unburned boundaries in different landscape settings within interior Alaska. Data collected along the 11 transect locations include: electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), active layer thickness (ALT), organic layer thickness (OLT), and plant species cover. These geospatial datasets are the foundation for the journal article, "Evidence for non-uniform permafrost degradation after fire in boreal landscapes", published in the Journal of Geophysical Research - Earth Surface.
LANDFIRE 2016 Remap Fuel Vegetation Cover (FVC) AK 2020 Capable Fuels
공공데이터포털
The LANDFIRE (LF) 2016 Remap Fuel Vegetation Cover (FVC) represents a modified pre-disturbance version of the Existing Vegetation Cover (EVC) product from previous LF versions. LF 2016 Remap (LF Remap) EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. To translate continuous EVC values into fuel model assignments, EVC values are binned to correspond with the bins from previous LF versions. FVC leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation and is developed using the full suite of LF vegetation releases, plus the most recent 10 years of disturbance data. FVC is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.
LANDFIRE 2016 Remap Fuel Vegetation Cover (FVC) AK 2020 Capable Fuels
공공데이터포털
The LANDFIRE (LF) 2016 Remap Fuel Vegetation Cover (FVC) represents a modified pre-disturbance version of the Existing Vegetation Cover (EVC) product from previous LF versions. LF 2016 Remap (LF Remap) EVC is mapped as continuous estimates of canopy cover for tree, shrub, and herbaceous lifeforms with a potential range from 10% to 100%. To translate continuous EVC values into fuel model assignments, EVC values are binned to correspond with the bins from previous LF versions. FVC leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation and is developed using the full suite of LF vegetation releases, plus the most recent 10 years of disturbance data. FVC is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.
LANDFIRE 2016 Remap Fuel Vegetation Type (FVT) AK 2020 Capable Fuels
공공데이터포털
The LANDFIRE (LF) 2016 Remap Fuel Vegetation Type (FVT) represents a modified pre-disturbance version of Existing Vegetation Type (EVT). FVT leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation. FVT was developed using the full suite of LF vegetation releases and the most recent 10 years of Annual Disturbance products and is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php. The FVT product is then evaluated through a series of QA/QC measures ensuring lifeform of the vegetation type assignment matches the lifeform of associated FVT attributes.
Electrical resistivity tomography (ERT) inverted models; Alaska, 2014
공공데이터포털
Fire can be a significant driver of permafrost change in boreal landscapes, altering the availability of soil carbon and nutrients that have important implications for future climate and ecological succession. However, not all landscapes are equally susceptible to fire-induced change. As fire frequency is expected to increase in the high latitudes, methods to understand the vulnerability and resilience of different landscapes to permafrost degradation are needed. Geophysical and other field observations reveal details of both near-surface (<1 m) and deeper (>1 m) impacts of fire on permafrost along 11 transects that span burned-unburned boundaries in different landscape settings within interior Alaska. Data collected along the 11 transect locations include: electrical resistivity tomography (ERT), downhole nuclear magnetic resonance (NMR), active layer thickness (ALT), organic layer thickness (OLT), and plant species cover. These geospatial datasets are the foundation for the journal article: Minsley, B. J., N. J. Pastick, B. K. Wylie, D. R. N. Brown, and M. Andy Kass (2016), Evidence for nonuniform permafrost degradation after fire in boreal landscapes, J. Geophys. Res. Earth Surf., 121, 320–335, doi:10.1002/2015JF003781.
LANDFIRE 2016 Remap Fuel Vegetation Height (FVH) AK 2020 Capable Fuels
공공데이터포털
The LANDFIRE (LF) 2016 Remap Fuel Vegetation Height (FVH) represents a modified pre-disturbance version of the Existing Vegetation Height (EVH) product from previous LF versions. LF Remap EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range from 0m to 50m or more. To translate continuous EVH values into fuel model assignments, EVH values are binned to new groups to improve canopy fuel predictions. FVH leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation and was developed using the full suite of LF vegetation releases and the most recent 10 years of disturbance data. FVH is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.
LANDFIRE 2016 Remap Fuel Vegetation Height (FVH) AK 2020 Capable Fuels
공공데이터포털
The LANDFIRE (LF) 2016 Remap Fuel Vegetation Height (FVH) represents a modified pre-disturbance version of the Existing Vegetation Height (EVH) product from previous LF versions. LF Remap EVH is mapped as continuous estimates of canopy height for tree, shrub, and herbaceous lifeforms with a potential range from 0m to 50m or more. To translate continuous EVH values into fuel model assignments, EVH values are binned to new groups to improve canopy fuel predictions. FVH leverages fuel transition assignments related to disturbed areas by re-establishing pre-disturbance vegetation and was developed using the full suite of LF vegetation releases and the most recent 10 years of disturbance data. FVH is a capable fuels product that calculates Time Since Disturbance (TSD) assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. This new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in this example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.
LANDFIRE 2023 Fuel Vegetation Type (FVT) AK
공공데이터포털
LANDFIRE's 2023 Update (LF 2023) Fuel Vegetation Type (FVT) product represents the LF Existing Vegetation Type Ecological Systems (EVT) product modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance and fuel products in LF 2023 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release). When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.
LANDFIRE 2023 Fuel Vegetation Type (FVT) AK
공공데이터포털
LANDFIRE's 2023 Update (LF 2023) Fuel Vegetation Type (FVT) product represents the LF Existing Vegetation Type Ecological Systems (EVT) product modified to represent pre-disturbance EVT in areas where disturbances have occurred over the past 10 years. Due to shifting EVT codes and labels throughout the years, the FVT codes are based on an early version of EVT codes translated from the current version. FVT is an input for fuel transitions related to disturbance and fuel products in LF 2023 were created with LF 2016 Remap vegetation in non-disturbed areas. To designate disturbed areas where FVT is modified, the aggregated Annual Disturbance products from 2014 to 2023 in the LF Fuel Disturbance (FDist) product are used. All existing disturbances between 2014-2023 are represented in LF 2023, and the products are intended to be used in 2024 (the year of release). When using any product from the LF 2023 fuel product suite, users should consider adjusting fuel layers for disturbances that occurred after the end of the 2023 fiscal year (after October 1st, 2023). Disturbances that occurred after the end of the 2023 fiscal year are not accounted for within LF 2023 fuel products. Learn more about LF 2023 at https://landfire.gov/data/lf2023.