TERN Ausplots Forest Monitoring Network - Forest Fuel Survey, 2014-2016
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The forest fuel survey dataset comprises site-level summary data from the well-designed fuel load surveys across 48 AusPlots Forests- 1-ha monitoring plots across Australia. Data presented here includes data on the surface, near-surface, and elevated fuel loads for each of the Forest Ausplots. It includes iButton data on 1) temperature and humidity, 2) data on litterfall and 3) decomposition rates. We also provide additional information on soil nutrient data, species composition of the understorey and midstorey, and panorama photos from the plot centre. This dataset is the second version of the AusPlots Forest Fuel Survey site-level data summary, 2014 - 2015. Version 1.0.0. Terrestrial Ecosystem Research Network. (dataset). https://doi.org/10.25901/efnh-sk06
AusPlots Forest Fuel Survey site-level data summary, 2014 - 2015
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The forest fuel survey dataset comprises site-level summary data from the well-designed fuel load surveys across 48 AusPlots Forests- 1-ha monitoring plots across Australia. Data presented here includes: [1] Site identifiers (ID and Site Name) and site location and site-specific notes from fuel survey campaign; [2] site survey dates (start date and end date); [3] Site climatic information (air temperature and relative humidity); [4] Average height of plants and the stem densities in those sites; [5] Fuel bed biomass measurements that include live or dead grass, shrub, vines cover; [6] Litter, Fine Woody and Coarse Woody Debris stocks and production; [7] Soil Nutrient concentration (Soil Carbon, Soil Hydrogen and Soil Nitrogen contents); [8] Duff depth and cover.
TERN AusPlots Forest Monitoring Network - Large Tree Survey - 2012-2015
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The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers.
TERN AusPlots Forest Monitoring Network – Large Tree Survey, 2012–2015
공공데이터포털
The dataset comprises data from the first survey of ~24,000 large trees (>10 cm diameter at breast height; DBH) within 48 1 ha forest monitoring plots established across Australia between 2011 and 2015. Data includes: [1] Site identifiers (ID and Site Name); [2] Plot Establishment Dates; [3] Tree identifiers and descriptors (ID, Species, Status, Growth Stage, Crown Class); [4] Tree measurements (Diameter, Point of Measurement, Height, Location, above-ground biomass); [5] Comments and ancillary information; and [6] List of Metagenomic Sample Identifiers.
NETN Forest Monitoring 2006-2025 Data Package
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The Inventory and Monitoring (I&M) Division's Northeast Temperate Network (NETN) has identified forest vegetation, and several associated vital signs, as high priority for long-term monitoring. The NETN long-term forest monitoring protocol was adapted from methods developed by the U.S. Forest Service Forest Inventory and Analysis program and was developed in collaboration with other eastern forest I&M networks. The NETN forest monitoring protocol assesses the status and trends in structure, function, and composition of forested ecosystems, along with the impacts of stressors such as white-tailed deer, invasive exotic plants, exotic pests and pathogens, and effects of acid deposition on forest soils. A set of Standard Operating Procedures are shared with the Mid-Atlantic Network's forest vegetation monitoring protocol. The current protocol has been designed to sample 350 plots in forested areas of NETN parks. Plot locations are randomly chosen using a spatially balanced design (generalized random-tessellation stratified). Each plot consists of a 20 x 20 m square (15 x 15 m square in Acadia National Park) where all stems with a diameter at breast height (dbh) ≥10 cm are identified, measured, tagged, marked, mapped, and their condition assessed. Stems with a dbh ≥1 cm are identified and measured in each of three microplots. Number of tree seedlings by height class and percent cover of shrubs ≥30 cm tall are also recorded in each of three microplots. Percent cover of all vascular plant species is estimated by species in eight 1 m2 quadrats. Coarse woody debris is measured along three 15 m transects. Data collected by the NETN forest monitoring protocol are used to inform management decisions affecting forested systems in NETN parks. To view all protocol documents, please visit: https://irma.nps.gov/DataStore/Reference/Profile/2189099 This data package contains a cumulative record of all forest monitoring data collected at National Park units in the Northeast Temperate Network (NETN) through the most recent field season and is organized into twenty-six (26) datasets: AdditionalSpecies_NETN.csv contains data captured during a 15-minute search for species not observed during other protocol activities on the plot. CWD_NETN.csv contains data captured from Line intercept sampling of coarse woody debris (CWD) along three 15-m transects. EventObservers_NETN.csv contains a list of all observers for each sampling event. Events_NETN.csv contains a list of all sampling events. MicroplotSaplings_NETN.csv contains data for all saplings measured in microplots. MicroplotSaplingsCount_NETN.csv contains data for all saplings that required a count. MicroplotSeedlings_NETN.csv contains counts of tree seedlings by species and height category collected in microplots. MicroplotShrubs_NETN.csv contains data for all shrubs measured in microplots. Plots_NETN.csv contains data regarding forest sampling plots. QuadCharacter_NETN.csv contains data characterizing the substrate of 1-m2 quadrats using standard cover classes. QuadNotes_NETN.csv contains a list of annotations relating to the sampling of quadrats. QuadSpecies_NETN.csv contains data for groundstory vascular plant species collected in 1-m2 quadrats using standard cover classes. SoilHeader_NETN.csv contains event data for soil sampling. SoilLab_NETN.csv contains soil lab results for all soil samples collected. SoilSample_NETN.csv contains sample details for soil sampling. StandDisturbances_NETN.csv contains plot disturbance data for each sampling event. StandForestFloor_NETN.csv contains plot forest floor cover for each sampling event. StandInfoPhotos_NETN.csv contains various plot level metrics for each sampling event. StandPlantCoverStrata_NETN.csv contains plot level plant cover strata for each sampling event. StandSlopes_NETN.csv contains stand slope measurements for each sampling event. StandTreeHeights_NETN.csv contains tree height measurements for each sampling event. Taxa_NETN.csv contains
Canada Forest Wildfires (2023)
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Map of burned area in Canada's forested ecosystems for the 2023 fire session at 30-m spatial resolution mapped from time-series data from Sentinel-2A and -2B, and Landsat-8 and -9 using the Tracking Intra- and Inter-year Change (TIIC) algorithm (Pelletier et al. 2024). It is developed within the framework of Canada’s National Terrestrial Ecosystem Monitoring System (NTEMS). Fires are grouped into two classes based on detection period: summer fires and fall fires. Summer burned pixels were detected between May 30 and September 17, and fall burned pixels were detected between September 17 and October 25. For summer fires, burned pixels were identified by TIIC as changed and typed as fire. For the fall period, TIIC only detected changes within a 4-km buffer of the NRCan fire perimeters (https://cwfis.cfs.nrcan.gc.ca/datamart). This approach was used to limit commission errors that can occur due to known limitations of mapping with optical data in the fall due to phenology, snow cover, or low sun angles. For the 2023 fire season, the TIIC algorithm detected 12.74 Mha of burned area in Canada's forested ecozones, representing 1.8% of the total forest-dominated ecozone area. Of the 12.74 Mha, 11.57 Mha (90.9%) was burned by summer fires and 1.16 Mha (9.1%) by fall fires (Pelletier et al, 2024). When using this data, please cite as: Pelletier, F., Cardille, J.A., Wulder, M.A., White, J.C., Hermosilla, T., 2024. Revisiting the 2023 wildfire season in Canada. Science of Remote Sensing. 10, 100145. (Pelletier et al. 2024).
Chamber study 2021 measurement data
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High time resolution (10 s) chamber study burn emission measurements and commercial laboratory fuel analysis reports. This dataset is associated with the following publication: Urbanski, S., R. Long, H. Halliday, A. Habel, E. Lincoln, and M. Landis. Fuel layer specific pollutant emission factors for fire prone forest ecosystems of the western U.S. and Canada. Atmospheric Environment: X. Elsevier B.V., Amsterdam, NETHERLANDS, 0000, (2022).