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Wednesday 15 February 2017

Title:Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods

Publication Details

Title:
Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods 
Author:
Rhinehart, Tessa A. ;  Weldon, Corinne A. ;  Stout, Susan L.
Publication Year:
2016
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation: 

Rhinehart, Tessa A.; Weldon, Corinne A.; Stout, Susan L. 2016. Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0002
Abstract:
This data publication contains individual tree diameter data collected from 1972 to 2012 under the study plan 4110-FS-NE-1152-76 "Study Plan: Thinning study in Allegheny hardwoods" on the Kane Experimental Forest in Pennsylvania. This study provides data about tree growth and survival as affected by stand structure parameters and thinning regimes from 30% to 100% residual density.
Keywords:
biota; environment; Forest Products; Forest products industry; Inventory, Monitoring, & Analysis; Assessments; Natural Resource Management & Use; Conservation; Ecosystem services; Forest management; Restoration; Timber; Climate change; Carbon; silviculture; species composition; forest stand dynamics; tree and stand growth; carbon sequestration; relative density; stocking; multiple species; plants; vegetation; Kane Experimental Forest; Pennsylvania
Data Access:
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Title:Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA GIS Label

Publication Details

Title:
Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA GIS Label
Author:
Headlee, William L. ;  Lietz, Sue M. ;  Baumann, Tina M. ;  Zalesny, Ronald S. Jr. ;  Donner, Deahn M. ; Hall, Richard B.
Publication Year:
2016
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data package: 

Headlee, William L.; Lietz, Sue M.; Baumann, Tina M.; Zalesny, Ronald S. Jr.; Donner, Deahn M.; Hall, Richard B. 2016. Final spatial and tabular data from a process-based model (3-PG) used to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0029
Abstract:
Hybrid poplars have demonstrated high biomass productivity in the North Central USA as short rotation woody crops (SRWCs). However, our ability to quantitatively predict productivity for sites that are not currently in SRWCs is limited. In this study, the Physiological Processes Predicting Growth (3-PG) model was (1) assigned parameters for hybrid poplars using species-specific physiological data and allometric relationships from previously published studies, (2) calibrated for the North Central region using previously-published biomass data from eight plantations along with site-specific climate and soils data, (3) validated against previously published biomass data from four other plantations using linear regression of actual versus predicted total aboveground dry biomass, (4) evaluated for sensitivity of the model to manipulation of the parameter for age at full canopy cover (fullCanAge) and the fertility rating growth modifier, and (5) combined with soil and climate data layers to produce a map of predicted biomass productivity for the states of Minnesota and Wisconsin. This package contains the polygon feature layer and tabular data that correspond to 'Using a process-based model (3-PG) to predict and map hybrid poplar biomass productivity in Minnesota and Wisconsin, USA.' (Headlee et al. 2013). The tabular data for mean annual biomass for hybrid poplar including the STATSGO soil and NARR climate values were used to generate the biomass values. The WTAvg_DM values represent the overall predicted biomass productivity for hybrid poplars.
Keywords:
3-PG; STATSGO; NARR; geographic information system; Populus; site quality; yield; environment; farming; Forest Products; Bioenergy and biomass; Natural Resource Management & Use; Agroforestry; Restoration; Ecosystem services; plants; Minnesota; Wisconsin
Data Access:
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Title:Eastern United States wildfire hazard model: 2000-2009

Publication Details

Title:
Eastern United States wildfire hazard model: 2000-2009 GIS Label
Author:
Peters, Matthew P. ;  Iverson, Louis R.
Publication Year:
2017
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Peters, Matthew P.; Iverson, Louis R. 2016. Eastern United States wildfire hazard model: 2000-2009. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0035

Please note: These data are the product of modeling, and as such carries an inherent degree of error and uncertainty. Users must read and fully comprehend the metadata and other available documentation prior to data use. Users should acknowledge the Originator when using this dataset as a source. Users should share data products developed using the source dataset with the Originator. No warranty is made by the Northern Research Station (NRS) or USDA Forest Service as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data, or for purposes not intended by the USDA Forest Service. These products are intended to support regional strategic planning. The applicability of the wildfire hazard model to support fire and land management planning on smaller areas will vary by location and daily weather conditions. Further investigation by local and regional experts should be conducted to inform decisions regarding local applicability. It is the sole responsibility of the local user, using product metadata and local knowledge, to determine if and/or how these modeled wildfire hazards can be used for particular areas of interest. The wildfire hazard models are not intended to replace local products where they exist, but rather serve as a 10-year trend, providing wall-to-wall coverage of potential wildfire ignitions based on reported incidents. It is the responsibility of the user to be familiar with the value, assumptions, and limitations of the model and resulting product. Managers and planners must evaluate the wildfire hazard models according to the scale and requirements specific to their needs. Spatial information may not meet National Map Accuracy Standards. This information may be updated without notification.
Abstract:
The wildfire hazard models are a set of 12 raster geospatial products produced by the USDA Forest Service, Northern Research Station that are intended to be used in analyses of wildfire hazards in the region of New Jersey, Ohio, and Pennsylvania. Each raster represents the monthly hazard of a wildfire occurring within a 30 meter pixel as a probability. A statistical model for each month was parameterized with an integrated moisture index, a cumulative drought severity index for the month during the period 2000 to 2009, percent forest cover, and wildland-urban interface classifications to predict the probability of wildfire occurrence based on reported wildfires. Each model included 10 iterations and the raster products of average, minimum, maximum, median, and standard deviation of the predicted probability of a wildfire occurrence is provided. All raster values were converted to integers by multiplying by 10 to reduce file sizes. Therefore, the range of probabilities is 0 to 1000 for the modeled occurrence of a wildfire.
Keywords:
environment; Ecology, Ecosystems, & Environment; Landscape ecology; Environment and People; Fire; Wildland/urban interface; maximum entrophy; integrated moisture index; cumulative drought severity index; wildfire hazard; wildland-urban interface; statistical model; New Jersey; Ohio; Pennsylvania
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Title:Forest ownership in the conterminous United States circa 2014: distribution of seven ownership types - geospatial dataset GIS Label

Publication Details

Title:
Forest ownership in the conterminous United States circa 2014: distribution of seven ownership types - geospatial dataset GIS Label
Author:
Hewes, Jaketon H. ;  Butler, Brett J. ;  Liknes, Greg C.
Publication Year:
2017
How to Cite:
Appropriate use includes coarse-scale assessment of forest ownership patterns.
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Hewes, Jaketon H.; Butler, Brett J.; Liknes, Greg C. 2017. Forest ownership in the conterminous United States circa 2014: distribution of seven ownership types - geospatial dataset. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2017-0007
Abstract:
This data publication contains 250 meter raster data depicting the spatial distribution of forest ownership types in the conterminous United States. The data are a modeled representation of forest land by ownership type, and include three types of public ownership: federal, state, and local; three types of private: family (includes individuals and families), corporate, and other private (includes conservation and natural resource organizations, and unincorporated partnerships and associations); as well as Native American tribal lands. The most up-to-date data available were used in creating this data publication. A plurality of the ownership data were from 2014, but some data were as old as 2004.
Keywords:
forest ownership; forest land; non-forest; owner types; public; private; corporate; tribal; Inventory, Monitoring, & Analysis; Resource inventory; Environment and People; Impact of people on environment; boundaries; environment; planningCadastre; United States of America; lower 48; contiguous; conterminous; CONUS
Data Access:
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https://www.fs.usda.gov/rds/archive/Product/RDS-2017-0007/

Title:Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services GIS Label

Publication Details

Title:
Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services GIS Label
Author:
Headlee, William L. ;  Lietz, Sue M. ;  Baumann, Tina M. ;  Zalesny, Ronald S. Jr. ;  Donner, Deahn M. ; Coyle, David R.
Publication Year:
2016
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data package: 

Headlee, William L.; Lietz, Sue M.; Baumann, Tina M.; Zalesny, Ronald S. Jr.; Donner, Deahn M.; Coyle, David R. 2016. Final spatial and tabular poplar biomass estimates for Minnesota and Wisconsin, USA based on the approach for siting poplar energy production systems to increase productivity and associated ecosystem services. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0030
Abstract:
Short rotation woody crops such as Populus spp. and their hybrids (i.e., poplars) are a significant component of the total biofuels and bioenergy feedstock resource in the USA. We used available social (i.e., land ownership and cover) and biophysical (i.e., climate and soil characteristics) spatial data to map eligible lands suitable for establishing and growing poplar biomass for bioenergy crops across Minnesota and Wisconsin, USA. This package contains a polygon feature layer and tabular data produced for the 'An approach for siting poplar energy production systems to increase productivity and associated ecosystem services' (Zalesny et al. 2012). The polygon feature layer represents a coarse resolution (approximately 32-kilometer) polygon lattice framework. The associated tabular data includes the mean annual biomass for poplar as well as the SSURGO soil and NARR climate values that were used to generate the biomass values. The WTD_Avg_DM values represent the poplar productivity generated by the Physiological Processes Predicting Growth (3-PG) model. The additional ERDAS IMAGINE raster image contains the final spatial predictions of biomass productivity for hybrid poplar at a finer scale (30-meter resolution).
Keywords:
3-PG; biofuels; bioenergy; bioproducts; Populus; productivity modeling; SSURGO; NARR; farming; environment; Forest Products; Bioenergy and biomass; Natural Resource Management & Use; Agroforestry; Restoration; Ecosystem services; plants; Minnesota; Wisconsin
Data Access:
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Title:Carbon dioxide and ozone data from the Aspen FACE Experiment, 1998-2009, and Phase II Experiment, 2010


Publication Details

Title:
Carbon dioxide and ozone data from the Aspen FACE Experiment, 1998-2009, and Phase II Experiment, 2010 
Author:
Kubiske, Mark E. ;  Foss, Anita R.
Publication Year:
2015
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Kubiske, Mark E.; Foss, Anita R. 2015. Carbon dioxide and ozone data from the Aspen FACE Experiment, 1998-2009, and Phase II Experiment, 2010. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0001
Abstract:
This data publication contains mean hourly gas measurements for 1998 to 2009, and 2010 for seasonal fumigation treatments as part of the Aspen FACE (Free-Air Carbon Dioxide Enrichment) and Phase II Experiment. These experiments were located on a research farm near Harshaw, Wisconsin (renamed the Rhinelander Experimental Forest in 2015) and consisted of twelve 30 meter diameter rings of aspen, birch and maple trees in which the concentrations of carbon dioxide (CO2) and tropospheric ozone (O3) were controlled. Because there was no confinement, there was no significant change in the natural, ambient environment other than elevating these trace gas concentrations.
Keywords:
biota; environment; Climate change; Carbon; Ecology, Ecosystems, & Environment; Plant ecology; Forest & Plant Health; Air, soil, water pollution (environmental injury); Climate effects; aspen; birch; maple; tropospheric ozone; carbon dioxide; multiple species; plants; Harshaw Forestry Research Farm; Rhinelander Experimental Forest; Wisconsin
Data Access:
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https://www.fs.usda.gov/rds/archive/Product/RDS-2015-0001/

Title:The 2010 wildland-urban interface of the conterminous United States - geospatial data GIS LabelAuthor:Martinuzzi, Sebastián ; Stewart, Susan I. ; Helmers, David P. ; Mockrin, Miranda H. ; Hammer, Roger B. ; Radeloff, Volker C.Publication Year:2015How to Cite:These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product: Martinuzzi, Sebastián; Stewart, Susan I.; Helmers, David P.; Mockrin, Miranda H.; Hammer, Roger B.; Radeloff, Volker C. 2015. The 2010 wildland-urban interface of the conterminous United States - geospatial data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0012 Abstract:The wildland-urban interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census (2010) and USGS National Land Cover Data (2006), to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States. These data are useful within a GIS for mapping and analysis at national, state, and local levels.Keywords:boundaries; society; structure; biota; Environment and People; Fire; Wildland/urban interface; wildland urban interface; WUI; wildland fire; fragmentation; sprawl; housing growth; conterminous United States; United StatesData Access: View metadata (HTML) View file index (HTML), which lists all files in this data publication and a short description of their contents FIRST: Download data publication support files (19.66 KB - compressed format, ZIP), which includes metadata, file index, and any other supplemental files provided by the author SECOND: Download data files (compressed format, ZIP) RDS-2015-0012_Data1of4.zip (1.64 GB) RDS-2015-0012_Data2of4.zip (1.64 GB) RDS-2015-0012_Data3of4.zip (1.63 GB) RDS-2015-0012_Data4of4.zip (1.56 GB) Need information about Using our Formats?

Publication Details

Title:
The 2010 wildland-urban interface of the conterminous United States - geospatial data GIS Label
Author:
Martinuzzi, Sebastián ;  Stewart, Susan I. ;  Helmers, David P. ;  Mockrin, Miranda H. ;  Hammer, Roger B. ;  Radeloff, Volker C.
Publication Year:
2015
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product:

Martinuzzi, Sebastián; Stewart, Susan I.; Helmers, David P.; Mockrin, Miranda H.; Hammer, Roger B.; Radeloff, Volker C. 2015. The 2010 wildland-urban interface of the conterminous United States - geospatial data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0012
Abstract:
The wildland-urban interface (WUI) is the area where houses meet or intermingle with undeveloped wildland vegetation. This makes the WUI a focal area for human-environment conflicts such as wildland fires, habitat fragmentation, invasive species, and biodiversity decline. Using geographic information systems (GIS), we integrated U.S. Census (2010) and USGS National Land Cover Data (2006), to map the Federal Register definition of WUI (Federal Register 66:751, 2001) for the conterminous United States. These data are useful within a GIS for mapping and analysis at national, state, and local levels.
Keywords:
boundaries; society; structure; biota; Environment and People; Fire; Wildland/urban interface; wildland urban interface; WUI; wildland fire; fragmentation; sprawl; housing growth; conterminous United States; United States
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Title: Early successional forest and land cover geospatial data of the upper Midwest


Publication Details

Title:
Early successional forest and land cover geospatial data of the upper Midwest GIS Label
Author:
Garner, James D. ;  Nelson, Mark D. ;  Tavernia, Brian G. ;  Housman, Ian W. ;  Perry, Charles H.
Publication Year:
2016
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Garner, James D.; Nelson, Mark D.; Tavernia, Brian G.; Housman, Ian W.; Perry, Charles H. 2016. Early successional forest and land cover geospatial data of the upper Midwest. Fort Collins, CO: Forest Service Research Data Archive. Data publication updated 07 April 2016. https://doi.org/10.2737/RDS-2016-0001
Abstract:
These geospatial data portray early successional forest (ESF) and other land cover in Michigan, Wisconsin, and most of Minnesota. Forest canopy disturbance between 1990 and 2009 was mapped using 42 Landsat time series stacks (LTSS) and a modified version of the vegetation change tracker algorithm (VCTw). Corresponding winter imagery was used to reduce commission errors of forest disturbance in densely vegetated nonforest tracts by identifying areas of persistent snow cover and assigning those areas to nonforest class. The resulting disturbance age map was classed into four 5-year age classes and persisting cover classes, then used to attribute age to forested pixels within the National Land Cover Database of 2011 (NLCD2011). Additional post processing was conducted to reduce misregistration, and a minimum mapping unit of 4 30-meter pixels was applied to comply with the USDA Forest Service, Forest Inventory and Analysis (FIA) definition of forest. A small percentage of NLCD2011 Shrub/Scrub and Grassland/Herbaceous pixels were also reclassified as forest based on VCTw data (see processing steps).
Keywords:
biota; imageryBaseMapsEarthCover; Ecology, Ecosystems, & Environment; Geography; forest canopy disturbance; disturbance mapping; change detection; vegetation change tracker; VCTw; Landsat time series stack; map; early successional forest; ESF; image analysis; natural resource management; remote sensing; geospatial data; ecology; habitat alteration; land use change; habitat fragmentation; land use and land cover; forest resources; forest ecosystems; upper Midwest; United States of America; Michigan; Wisconsin; Minnesota; Great Lakes; Bird Conservation Region 12; Bird Conservation Region 23; BCR 12; BCR 23
Data Access:
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Title: Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods

Publication Details

Title:
Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods 
Author:
Rhinehart, Tessa A. ;  Weldon, Corinne A. ;  Stout, Susan L.
Publication Year:
2016
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Rhinehart, Tessa A.; Weldon, Corinne A.; Stout, Susan L. 2016. Kane Experimental Forest: Overstory tree data from a thinning study in Allegheny hardwoods. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2016-0002
Abstract:
This data publication contains individual tree diameter data collected from 1972 to 2012 under the study plan 4110-FS-NE-1152-76 "Study Plan: Thinning study in Allegheny hardwoods" on the Kane Experimental Forest in Pennsylvania. This study provides data about tree growth and survival as affected by stand structure parameters and thinning regimes from 30% to 100% residual density.
Keywords:
biota; environment; Forest Products; Forest products industry; Inventory, Monitoring, & Analysis; Assessments; Natural Resource Management & Use; Conservation; Ecosystem services; Forest management; Restoration; Timber; Climate change; Carbon; silviculture; species composition; forest stand dynamics; tree and stand growth; carbon sequestration; relative density; stocking; multiple species; plants; vegetation; Kane Experimental Forest; Pennsylvania
Data Access:
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Title:RxCADRE 2008, 2011, and 2012: Radiometer data

Publication Details

Title:
RxCADRE 2008, 2011, and 2012: Radiometer data 
Author:
Dickinson, Matthew B. ;  Kremens, Robert L.
Publication Year:
2015
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Dickinson, Matthew B.; Kremens, Robert L. 2015. RxCADRE 2008, 2011, and 2012: Radiometer data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0036
Abstract:
This package contains data from dual-band, tower-mounted radiometers deployed during the Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) burn blocks in 2008, 2011, and 2012. These burn blocks are located at Eglin Air Force Base, northeast of Valparaiso, Florida, and at the Joseph Jones Ecological Research Center at Ichauway, near Camilla, Georgia. The radiometers have a nadir, downward-looking perspective. Raw voltages recorded by the radiometers were calibrated and used to estimate fire radiative power (FRP) and fire radiative energy (FRE) fluxes as fuel burned within their fields of view (FOV) at these locations. The archive includes two types of files, the first is an Excel file with macros (*.xlsm) that calibrates the raw voltage output. The second file type is a comma-delimited text file (*.csv) containing calibrated data. In a subset of datasets from 2011, saturated values near peak FRP were replaced with fitted values and, in those cases, an extra set of Excel and text files including the fitted values are provided.
Keywords:
biota; environment; Ecology, Ecosystems, & Environment; Fire; Forest & Plant Health; Fire effects on environment; Fire ecology; Prescribed fire; fire behavior; fire effects; fire radiated power; dual-band radiometer; fire radiated energy; fire behavior; RxCADRE; Joint Fire Science Program; JFSP; Joseph Jones Ecological Research Center; Ichauway; Eglin Air Force Base; Florida; Georgia
Data Access:
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Title:Northern Forest Futures Database


Publication Details

Title:
Northern Forest Futures Database
Author:
Miles, Patrick D. ;  Wear, David N.
Publication Year:
2015
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the citation below when citing the data product:

Miles, Patrick D.; Wear, David N. 2015. Northern Forest Futures Database. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0009
Abstract:
The Northern Forest Futures database (NFFDB) supports the reporting of both current and projected future forest conditions for the 20 states that make up the U.S. North, an area bounded by Maine, Maryland, Missouri, and Minnesota. The NFFDB database and attendant reporting tools are available to the public as a Microsoft Access database. The NFF_CurrentReports tool generates customized reports for a variety of forest statistics for the 2008 inventory year such as estimates of area, numbers of trees, volume, biomass, average annual net growth, average annual mortality, and average annual removals. The NFF_ProjectionReports program supports the reporting of projected forest statistics by decade through the year 2060 for any of 14 scenarios that reflect varying climatic and socioeconomic possibilities. Also included in this product are the individual Forest Inventory and Analysis database (FIADB) files for the 20 states in the U.S. North which contain data and a reporting tool that can be used to compute estimates of area, numbers of trees, volume, biomass, average annual net growth, average annual mortality, average annual removals, as well as carbon, down woody material biomass, and area change.
Keywords:
biota; boundaries; Climate change; Carbon; Ecology, Ecosystems, & Environment; Forest & Plant Health; Invasive species; Inventory, Monitoring, & Analysis; Assessments; Resource inventory; forest composition; projections; emerald ash borer; invertebrates; U.S. North; United States; Connecticut; Delaware; Illinois; Indiana; Iowa; Maine; Maryland; Massachusetts; Michigan; Minnesota; Missouri; New Hampshire; New Jersey; New York; Ohio; Pennsylvania; Rhode Island; Vermont; West Virginia; Wisconsin
Data Access:
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Title:Measurements from twelve permanent vegetation plots in the Moquah Barrens Research Natural Area: 1979 and 1996

Publication Details

Title:
Measurements from twelve permanent vegetation plots in the Moquah Barrens Research Natural Area: 1979 and 1996 
Author:
Byers, BJ Jr. ;  Beck, Albert J. ;  Rugg, David J.
Publication Year:
2015
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:

Byers, BJ Jr.; Beck, Albert J.; Rugg, David J. 2015. Measurements from twelve permanent vegetation plots in the Moquah Barrens Research Natural Area: 1979 and 1996. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2015-0029
Abstract:
Vegetation measurements were made on a sets of three (3) plots in each of twelve (12) stands located within the Moquah Barrens Research Natural Area in Bayfield County, Wisconsin. The plots were established and the first set of measurements were made in 1979. In 1996, all thirty-six plots were relocated and remeasured. Each of the twelve selected stands represented major forest types and age classes in the research natural area. The stands were classified into 5 vegetation types (jack pine, oak-pine, aspen-oak-birch complex, aspen, and open (pine savanna)). Sampled trees had their species and diameter at breast height (DBH) recorded. Two sets of progressively smaller plots were nested in the tree plots to count saplings, shrubs, and herbs. For saplings, species and DBH were recorded; for shrubs, species and number of individuals were recorded; for herbs, species and percent ground cover were recorded. During the springs of 2012-2014, 3 trips were taken by a U.S. Forest Service and University of Wisconsin-Madison research team to re-locate the center points associated with each stand and establish GPS coordinates. All vegetation stand locations were originally estimated within a GIS using the 1980 report by Dunn and Stearns. Only three of the twelve center points were successfully re-located. Points were not located due to loss of the wooden stakes used to mark the center points. Estimated or actual GPS locations are provided for future use.
Keywords:
vegetation; composition; research natural area; surveys; biota; environment; Ecology, Ecosystems, & Environment; Plant ecology; Landscape ecology; Fire; Fire ecology; multiple species; plants; vegetation; Moquah Barrens; Bayfield county; Chequamegon-Nicolet National Forest; Wisconsin
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Patterns of Genetic Variation in Woody Plant Species in the Missouri Ozark Forest Ecosystem Project

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Year Published

1997

Publication

In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 231-247.

Abstract

We quantified current patterns of genetic variation of three woody plant species—Carya tomentosa(Juglandaceae), Quercus alba (Fagaceae), and Sassafras albidum (Lauraceae)—distributed throughout the nine Missouri Ozark Forest Ecosystem Project (MOFEP) study sites and evaluated the data in light of the MOFEP experimental design. Genetic variation was estimated using electrophoretically detected isozymes as genetic markers. Results indicate that population level genetic diversity estimates were within the range typical of woody plant species but a comparison of levels of genetic variation of Q. alba at MOFEP with other Quercus species indicates that levels were somewhat low. Each species showed significant differences among sites for the genetic diversity measures or inbreeding coefficient. C. tomentosa and Sassafras albidumshowed significant differences due to ELT. Unexpectedly high levels of inbreeding coefficients were documented in all three species. Two of the species, Q. alba and Sassafras albidum, showed a significant impact of year of acquisition on measures of genetic diversity and inbreeding. We found differences among the management treatment classes for Sassafras albidum only. We conclude that the pattern of genetic diversity and inbreeding is heterogeneous across MOFEP study sites with land use history of specific sites being at least one of the contributing factors. Nonetheless, this heterogeneity has not created any excessive biases for the experimental design of the management treatment experiment of MOFEP.

Citation

Sork, Victoria L.; Koop, Anthony; de la Fuente, Marie Ann; Foster, Paul; Raveill, Jay. 1997. Patterns of Genetic Variation in Woody Plant Species in the Missouri Ozark Forest Ecosystem Project. In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 231-247.
Last updated on: February 10, 2017

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Snags and Down Wood on Upland Oak Sites in the Missouri Ozark Forest Ecosystem Project

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Year Published

1997

Publication

In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 248-256.

Abstract

We analyzed volume, surface area, and percent cover of down wood to determine if there were pre-treatment differences among the sites in the Missouri Ozark Forest Ecosystem Project. We also compared pre-treatment values for the number and basal area of snags. We observed no statistically significant differences (P > 0.05) among treatment classes for these characteristics. This is the desired condition prior to treatment. The assignment of replicates to blocks was not effective in reducing variability among treatments. The number (12/ac or 30/ha) and basal area (5 ft2/ac or 1 m2/ha) of snags = 4.5 in. (11 cm) d.b.h. observed at the MOFEP sites were similar to values observed at another second-growth tract and an old-growth tract located in the same region. The volume of down wood observed at the MOFEP sites (241 ft3/ac or 17 m3/ha) was similar to that at the second-growth site but approximately half the volume at the old-growth tract.

Citation

Shifley, Stephen R.; Brookshire, Brian L.; Larsen, David R.; Herbeck, Laura A.; Jensen, Randy G. 1997. Snags and Down Wood on Upland Oak Sites in the Missouri Ozark Forest Ecosystem Project. In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 248-256.
Last updated on: February 10, 2017

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Determination of the Ecological and Geographic Distributions of Armillaria Species in Missouri Ozark Forest Ecosystems

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Year Published

1997

Publication

In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 257-273.

Abstract

Armillaria root rot contributes to oak decline in the Ozarks. Three Armillaria species were detected in Ecological Landtypes (ELT's) representing south- to west-facing side slopes (ELT 17), north- to east-facing side slopes (ELT 18), and ridge tops (ELT 11). Armillaria mellea was detected in 91 percent of 180 study plots; was detected with equal frequency in all three ELT's; and was ubiquitous in block 3. Armillaria gallica was detected in 64 percent of the study plots; was detected least frequently in block 3; and was detected least frequently on ELT 17 in block 3. The distribution of A. tabescens remains incompletely resolved; it is the least abundant species and the most difficult to survey. Armillaria mellea was much more frequently associated with oak mortality than were A. gallica or A. tabescens, based on isolations from dying or recently killed trees. If these three species compete for substrate, oak decline levels may be influenced by landscape patterns of Armillaria species co-occurrence. We hypothesize that oak decline will be most severe in block 3, and especially on ELT 17, where A. mellea most often occurs in the absence of A. gallica.

Citation

Bruhn, Johann N.; Wetteroff, James J., Jr.; Mihail, Jeanne D.; Burks, Susan. 1997. Determination of the Ecological and Geographic Distributions of Armillaria Species in Missouri Ozark Forest Ecosystems. In: Brookshire, Brian L. Shifley, Stephen R., eds. Proceedings of the Missouri Ozark Forest Ecosystem Project Symposium: an experimental approach to landscape research; 1997 June 3-5; St. Louis, MO. General Technical Report NC-193. St. Paul, MN: U.S. Department of Agriculture, Forest Service, North Central Forest Experiment Station: 257-273.
Last updated on: February 10, 2017

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