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This dataset is from a restoration field study conducted at seven sites distributed across the southern Colorado Plateau in northern Arizona as part of the RestoreNet dryland restoration field trial network. The data consist of post-experimental restoration treatment (2018-2019) plant density and height measurements along with site precipitation, temperature, and soils data. Plant data were collected through plot monitoring visits distributed throughout the first year following restoration treatments and seeding.
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This dataset records mortality-- including involvement of bark beetles-- and burn severity information for trees in long term forest dynamics plots in Sequoia National Park and Yosemite National Park that experienced fire. These data support the following publication: Furniss, T.J., Das, A.J., van Mantgem, P.J., Stephenson, N.L. and Lutz, J.A., 2021. Crowding, climate, and the case for social distancing among trees. Ecological Applications, p.e2507, https://doi.org/10.1002/eap.2507
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This data describes the coverage and composition of bryophytes and other ground cover within Hakalau Forest National Wildlife Refuge on Hawaii Island. This study aims to evaluate the role of bryophytes in seedling recruitment and thus forest regeneration in different forest types. We compared bryophyte composition and coverage between tree species (Acacia koa and Metrosideros polymorpha) and forest types (intact forest and restoration forest) and then sampled native woody seedling recruitment in the bryophytes as well as other ground covers, such as leaf litter, bare soil, and exotic grass.
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This data release includes sampling locations for the coverage and composition of bryophytes, other ground cover and seedling abundance. All sites were within Hakalau Forest National Wildlife Refuge on Hawaii Island. This study aims to evaluate the role of bryophytes in seedling recruitment and thus forest regeneration in different forest types. We compared bryophyte composition and coverage between tree species (Acacia koa and Metrosideros polymorpha) and forest types (intact forest and restoration forest) and then sampled native woody seedling recruitment in the bryophytes as well as other ground covers, such as leaf litter, bare soil, and exotic grass.
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This dataset contains 8 layers showing current and predicted ranges of grand fir (Abies grandis ). One layer demonstrates range according to current climate conditions averaged from the period 1950-1975. Six layers model predicted ranges according to two different IPCC scenarios according to their Canadian Climate Centre modeling and Analysis (CCCma) third generation general correlation models (CGCM3) A2 and B1, in the years 2020, 2050, and 2080. An 8th layer shows a continuous model of predicted occurrence for the period 1975-2006.
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From 2008 to 2012, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, Walla Walla District, developed an acoustic backscatter surrogate (model 1.0) for estimating real-time suspended-sediment concentration and loads at Clearwater River at Spalding, ID (USGS ID: 13342500) using a horizontally-mounted 3000kHz acoustic Doppler velocity meter (ADVM). This study is a continuation of the 2008 to 2012 acoustic backscatter surrogate study using samples collected since 2015 to validate the continued use of model 1.0. Sample data collected in 2015 to 2018 show a deviation from model 1.0 when backscatter data from the ADVM, after correction for acoustic losses, is greater than 65.7 decibels....
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the regeneration of floodplain forest. This dataset uses lidar derivatives to identify forest canopy gaps along select portions of the Mississippi River and Illinois River. USACE will use this dataset to select field sites to collect data in forest canopy gaps. This will also serve as the baseline for long-term forest canopy gap study.
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As part of Upper Mississippi River Restoration (UMRR), the U.S. Army Corps of Engineers (USACE) is conducting a study to understand what environmental factors are contributing to the failure of floodplain forests to regenerate. This dataset uses lidar derivatives to identify broken forest canopy along the Mississippi River and Illinois River. A broken forest refers to an area that has a canopy height of greater than or equal to 10 meters. From this layer, forest canopy gaps can be identified by locating areas within the broken forest that have at least a 9.144 meter radius, or a 1-tree gap.
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Data presented are results of vegetation sampling conducted in 2019-20 and 2023 in 24 survey plots to document the status of infestation by shot hole borers (Euwallacea sp.) on the riparian vegetation at the San Diego River. This dataset presents location, percent cover of different vegetation types, and number of seedlings for each survey plot. In addition, for each tree and sapling in each plot we present species, size, tree status (live, resprouting, recently dead from shot hole borer, or dead from another cause or unknown cause), infestation status (infested by shot hole borer, not infested by shot hole borer, or infestation not confirmed as shot hole borer), and crown condition. For every tree we also present...
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This data release supports interpretations of field-observed root distributions within a shallow landslide headscarp (CB1) located below Mettman Ridge within the Oregon Coast Range, approximately 15 km northeast of Coos Bay, Oregon, USA. (Schmidt_2021_CB1_topo_far.png and Schmidt_2021_CB1_topo_close.png). Root species, diameter (greater than or equal to 1 mm), general orientation relative to the slide scarp, and depth below ground surface were characterized immediately following landsliding in response to large-magnitude precipitation in November 1996 which triggered thousands of landslides within the area (Montgomery and others, 2009). The enclosed data includes: (1) tests of root-thread failure as a function of...
In this study, we develop urban ecosystem accounts in the U.S., using the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) framework. Most ecosystem accounts focus on regional and national scales, which are appropriate for many ecosystem services. However, ecosystems provide substantial services in cities, improving quality of life and contributing to resiliency for substantial parts of the population. Our models estimate energy savings for indoor cooling resulting from heat mitigated by trees and rainfall intercepted by trees. Both models cover major cities in the contiguous U.S. and report the results through physical supply and use tables for multiple accounting periods...
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Geospatial data were developed to characterize pre-fire biomass, burn severity, and biomass consumed for the Black Dragon Fire that burned in northern China in 1987. Pre-fire aboveground tree biomass (Mh/ha) raster data were derived by relating plot-level forest inventory data with pre-fire Landsat imagery from 1986 and 1987. Biomass data were generated for individual species: Dahurian larch (Larix gmelinii Rupr. Kuzen), white birch (Betula platyphylla Suk), aspen (Populus davidiana Dode and Populus suaveolens Fischer), and Mongolian Scots pine (Pinus sylvestris var. mongolica Litvinov). A raster layer of total aboveground tree biomass was also generated. Burned area was manually delineated using the normalized...
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Polygon locations of fire perimeters in the Sky Island mountain ranges in the Madrean Archipelago Ecoregion of the southwestern United States and northern Mexico. These fires occurred from 1985 to 2017 and were mapped using Landsat satellite imagery.
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Snags provide critical habitat for nearly one-third of wildlife species in forests of the Pacific Northwest, so historic declines in snags are thought to have had a strong impact on biodiversity. Resource managers often create snags to mitigate the scarcity of snags within managed forests, but information regarding the function and structure of created snags across long time periods (>20 years) is absent from the literature. Using snags that were created by topping mature Douglas-fir trees (Pseudotsuga menziesii) as part of the OSU College of Forestry Integrated Research Project, we measured characteristics of 731 snags and quantified foraging and breeding use of snags by birds 25-27 years after their creation....
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Land management practices often directly alter vegetation structure and composition, but the degree to which ecological processes such as herbivory interact with management to influence biodiversity is less well understood. We hypothesized that intensive forest management and large herbivores have compounding effects on early-seral plant communities and plantation establishment (i.e., tree survival and growth), and the degree of such effects is dependent on the intensity of management practices. We established 225 m2 wild ungulate (deer and elk) exclosures nested within a manipulated gradient of management intensity (no-spray Control, Light herbicide, Moderate herbicide and Intensive herbicide treatments), replicated...
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Remote camera stations were set up in Lassen Volcanic National Park from August to October 2017 and June to September 2018 to document occurrence of mesocarnivores and other wildlife. 126 cameras were set up at 32 primary sampling units (clusters of two to four cameras) throughout the park. Random locations for primary sampling units were chosen using a 3-km sampling grid over the park area. The dataset contains all species observed within the study time-frame, the date and time of observation and the number of individuals detected as well as identification for individual locations, cameras and images. Of the three target species of conservation concern (Pacific fisher (Pekania pennanti), Pacific marten (Martes...
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First, we would like to thank the wildland fire advisory group. Their wisdom and guidance helped us build the dataset as it currently exists. This dataset is comprised of two different zip files. Zip File 1: The data within this zip file are composed of two wildland fire datasets. (1) A merged dataset consisting of 40 different wildfire and prescribed fire layers. The original 40 layers were all freely obtained from the internet or provided to the authors free of charge with permission to use them. The merged layers were altered to contain a consistent set of attributes including names, IDs, and dates. This raw merged dataset contains all original polygons many of which are duplicates of the same fire. This dataset...
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These data were compiled here to fit various versions of Bayesian population models and compare their performance, primarily the time required to make inferences using different softwares and versions of code. The humpback chub data were collected by US Geological Survey and US Fish and Wildlife service in the Colorado and Little Colorado Rivers from April 2009 to October 2017. Adult fish were captured using hoop nets and electro-fishing, measured for total length and given individual marks using passive integrated transponders that were scanned when fish were recaptured. The other three datasets were collected by US Forest Service. Owl data for the N-occupancy model was collected between 1990 and 2015. Owl data...
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Plot-level field data were collected in the summer of 2014 to estimate aboveground and belowground biomass in the Great Dismal Swamp National Wildlife Refuge and Dismal Swamp State Park in North Carolina and Virginia. Data were collected at 85 plots. The location of the center of each plot was recorded with a Trimble ProXH global positioning system (GPS) and differentially corrected. Data files included 1: GDS_plots.csv, 2. GDS_FWD.csv, 3. GDS_LWD.csv, 4. GDS_Shrubs.csv, 5. GDS_Trees.csv, and 6. GDS_plot_summaries.csv. The data contained in GDS_plot_summaries.csv were calculated from the GDS_plots.csv, GDS_FWD.csv, GDS_LWD.csv, GDS_Shrubs.csv, GDS_Trees.csv files using the R statistical software environment (R Core...


map background search result map search result map Modeled frequency and predicted range of grand fir (Abies grandis) under various climate scenarios Forest management and cervid herbivory data from Western Oregon, USA, 2012 (Camera Data) Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016 Model Archive Summary for Suspended Sediment,  Acoustic Sediment Surrogate Model 2.0, USGS gage number 13342500, Clearwater River at Spalding, Idaho Ground and Bryophyte Coverage Bryophyte Sampling Location Great Dismal Swamp field measurements for aboveground and belowground biomass Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China Marginalizing Bayesian population models - data for examples in the Grand Canyon region, southeastern Arizona, western Oregon USA - 1990-2015 Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2017 RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA Mesocarnivore Survey of Lassen Volcanic National Park, Klamath Network, 2017-2018 (ver. 2.0, April 2022) Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Data release for Piloting Urban Ecosystem Accounting for the United States Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Root thread strength, landslide headscarp geometry, and observed root characteristics at the monitored CB1 landslide, Oregon, USA Combined wildland fire datasets for the United States and certain territories, 1800s-Present Root thread strength, landslide headscarp geometry, and observed root characteristics at the monitored CB1 landslide, Oregon, USA Model Archive Summary for Suspended Sediment,  Acoustic Sediment Surrogate Model 2.0, USGS gage number 13342500, Clearwater River at Spalding, Idaho Ground and Bryophyte Coverage Bryophyte Sampling Location Created snag characteristics and cavity-nesting bird associations in the CFIRP stands, McDonald-Dunn Research Forest, Corvallis, OR, USA, 2016 Forest Canopy Gaps Identified by Lidar for Navigational Pool 8 of the Mississippi River Mesocarnivore Survey of Lassen Volcanic National Park, Klamath Network, 2017-2018 (ver. 2.0, April 2022) Great Dismal Swamp field measurements for aboveground and belowground biomass Broken Forest Canopy Identified by Lidar for the Navigational Pool 24 of the Mississippi River Broken Forest Canopy Identified by Lidar for the Navigational Pool 13 of the Mississippi River RestoreNet: seedling treatment and site environmental characteristics data at restoration treatment plots in northern Arizona, USA Sequoia and Yosemite National Parks Mortality and Fire Data (1990-2019) for Competition-Fire-Drought Interaction Analysis Pre-fire biomass, burn severity, biomass consumption, and fire perimeter data for the 1987 Black Dragon Fire in China Mapped fire perimeters from the Sky Island Mountains of US and Mexico: 1985-2017 Marginalizing Bayesian population models - data for examples in the Grand Canyon region, southeastern Arizona, western Oregon USA - 1990-2015 Modeled frequency and predicted range of grand fir (Abies grandis) under various climate scenarios Data release for Piloting Urban Ecosystem Accounting for the United States Combined wildland fire datasets for the United States and certain territories, 1800s-Present