Filters: Tags: forestry (X)
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The dataset contains 3 maps that show the current and predicted range of Engelmann spruce (Picea engelmannii) in the Pacific Northwest region. The layers include: 1) the species range modeled under current climate conditions for 1950-75 2) a continuous model of the predicted range for 1950-2006 and 3) potential range expansion and contraction from 2000-2009.
Major forest species of Russia, created from an amalgamation of all applicable IIASA data with the Forest State Account of 1993, produced at a scale of 1:1 million. It is p art of the Land Resources of Russia collection. More information on the forestry datasets can be found at: http://www.iiasa.ac.at/Research/FOR/russia_cd/forestry.htm .
The mapping of land capability for forestry is based on a national classification system comparable with the other Canada Land Inventory sectors. Land is rated according to seven classes on its capability to grow commercial timber in areas stocked with the optimum number and species of trees. This rating considers the land in its natural state, without improvements such as fertilization, drainage, or amelioration practices. This dataset contains Land Capability Ratings for the surveyed portions of the province of Alberta, for areas south of 56 degrees N latitude (Alberta is divided into two datasets due to file size constraints). Land ratings and classes may change, however, significant changes will only be achieved...
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....
This dataset depicts roads built on the Tongass National Forest prior to 1960. This dataset is part of a larger analysis of road building and timber harvest on the Tongass National Forest, compiled for the report Scientific Basis for Roadless Area Conservation (http://www.consbio.org/cbi/projects/show.php?page=roadless/roadless.htm), pp 70-73. Road segments from a US Forest Service roads layer were attributed to the most likely decade in which the road was built, as determined by an analysis of connectivity to clearcuts on the Tongass National Forest from that decade. It was assumed that following 1960, harvests required access to mills or extraction sites, and thus roads connecting to them were most likely built...
A nationally compiled dataset containing provincial Forest Tenures/Forest Management Areas and other administrative areas where rights to establish, grow, harvest or remove timber from a particular area of land has been granted. Each province has different boundary definitions and/or harvesting practices which prevents this dataset from having a standard defined tenure unit for all of Canada (See data sources in metadata). British Columbia was the only province where tenure boundaries had to be complied from several different sources in order to have a definable tenure unit comparable to other provinces (see NOTES in metadata).
A nationally compiled dataset containing provincial Forest Tenures/Forest Management Areas and other administrative areas where rights to establish, grow, harvest or remove timber from a particular area of land has been granted. Each province has different boundary definitions and/or harvesting practices which prevents this dataset from having a standard defined tenure unit for all of Canada (See data sources in metadata). British Columbia was the only province where tenure boundaries had to be complied from several different sources in order to have a definable tenure unit comparable to other provinces (see NOTES in metadata).
This dataset contains 8 layers showing current and predicted ranges of subalpine fir (Abies lasiocarpa ). 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.
A nationally compiled dataset containing provincial Forest Tenures/Forest Management Areas and other administrative areas where rights to establish, grow, harvest or remove timber from a particular area of land has been granted. Each province has different boundary definitions and/or harvesting practices which prevents this dataset from having a standard defined tenure unit for all of Canada (See data source below). British Columbia was the only province where tenure boundaries had to be complied from several different sources in order to have a definable tenure unit comparable to other provinces (see NOTES below). This dataset covers Forest Tenures and Management Areas for the province of British Columbia.
The dataset contains 3 maps that show the current and predicted range of Pacific Silver Fir (Abies amabilis) in the Pacific Northwest region. The layers include: 1) the species range modeled under current climate conditions for 1950-75 2) a continuous model of the predicted range for 1950-2006 and 3) potential range expansion and contraction from 2000-2009.
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.
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.
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...
Categories: Data;
Types: Citation;
Tags: Lincoln County, Oregon,
Oregon,
Oregon Coast Range,
Pacific Northwest,
Polk County, Oregon,
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...
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Environmental Health,
Experimental Ecosystem Accounting,
Forestry,
Hydrology,
Land Use Change,
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
Categories: Data;
Tags: California,
Forestry,
Sequoia National Park,
Sierra Nevada,
USGS Science Data Catalog (SDC),
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.
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.
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...
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.
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...
Categories: Data,
Data Release - Revised;
Tags: California,
Ecology,
Forestry,
Klamath Monitoring Network,
Lassen County,
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