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Keyword: landscape ecology

Historical beech and oak forests in Indiana

Datasets Posted on: December 30, 2020
This data publication contains a shapefile that provides tree percentages for historical beech and oak forests of Indiana. Data provided include the estimated percentage of beech, oak, ash, hickory, and sugar maple found in these forests, between 1799 and 1946, for each township in Indiana. These data were recovered, using unique GIS methods, from historical tree survey information stored in bar chart figures in Potzger et al.

Digital surface, terrain, and canopy height models for Moscow Mountain in 2009

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Boise Basin Experimental Forest in 2018

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Priest River Experimental Forest in 2011

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Deception Creek Experimental Forest in 2011

Datasets Posted on: December 30, 2020
This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface.

Digital surface, terrain, and canopy height models for Priest River Experimental Forest in 2002 (2nd Edition)

Datasets Posted on: December 30, 2020
The data publication contains 1 meter raster data sets for three different digital elevation models (DEM) for the Priest River Experimental Forest in north Idaho in 2002. The first is a digital terrain model (DTM), which is the ground surface with all vegetation and human-made structures removed. The second is a digital surface model (DSM), which includes all vegetation and human-made structures.

Simulation modeling of complex climate, wildfire, and vegetation dynamics to address wicked problems in land management

Publications Posted on: August 10, 2020
Complex, reciprocal interactions among climate, disturbance, and vegetation dramatically alter spatial landscape patterns and influence ecosystem dynamics. As climate and disturbance regimes shift, historical analogs and past empirical studies may not be entirely appropriate as templates for future management.

Atlas of current and potential future distributions of common trees of the eastern United States

Publications Posted on: June 22, 2020
This atlas documents the current and possible future distribution of 80 common tree species in the Eastern United States and gives detailed information on environmental characteristics defining these distributions. Also included are outlines of life history characteristics and summary statistics for these species.

Vegetation responsees to landscape structure at multiple scales across a Northern Wisconsin, USA, pine barrens landscape

Publications Posted on: June 22, 2020
Increasing awareness of the importance of scale and landscape structure to landscape processes and concern about loss of biodiversity has resulted in efforts to understand patterns of biodiversity across multiple scales. We examined plant species distributions and their relationships to landscape structure at varying spatial scales across a pine barrens landscape in northern Wisconsin, U.S.A.

Putting the 'landscape' in landscape genetics

Publications Posted on: March 04, 2020
Landscape genetics has emerged as a new research area that integrates population genetics, landscape ecology and spatial statistics. Researchers in this field can combine the high resolution of genetic markers with spatial data and a variety of statistical methods to evaluate the role that landscape variables play in shaping genetic diversity and population structure.

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