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Fragstats and Landscape Metrics. Bill Dijak Wildlife Biologist/GIS Specialist USDA Forest Service Room 309. Map Projection. UTM, Universal Transverse Mercator. Datum, NAD1927, NAD1983, WGS1984. Missouri use NAD1983, Zone 15, Unit meters. Two forms of GIS data.

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fragstats and landscape metrics

Fragstats and Landscape Metrics

Bill Dijak

Wildlife Biologist/GIS Specialist USDA Forest Service

Room 309

map projection
Map Projection
  • UTM, Universal Transverse Mercator.
  • Datum, NAD1927, NAD1983, WGS1984.
  • Missouri use NAD1983, Zone 15, Unit meters.
two forms of gis data
Two forms of GIS data
  • Vector data, points lines and polygons usually stored as a shapefile (.shp).
  • Raster data stored as square raster cells or pixels.
  • Each raster cell has a numerical value representing a landscape characteristic and resolution which is the length of the side of the raster cell.
  • ESRI rasters are often referred to as grids.
examples of raster data
Examples of Raster Data
  • Gap landcover (MORAP)
  • Landsat satellite imagery
  • Digital elevation models (DEM)
  • Digital raster graphics (DRG)
  • Landform
fragstats 3 3
Fragstats 3.3
fragstats 3 31
Fragstats 3.3
  • Click Fragstats and select Set Run Parameters.

Class Properties File

Class ID, Class Name, Status, Is Background








patch metrics
Patch Metrics
  • Provide metric information for each and every patch found in the landscape
  • Generate an Enormous amount of information.
  • Are useful for generating information for specific locations on the landscape such as nest locations or point count locations.
  • Example: An area-sensitive species selects patches of forest of some minimum size.

Weighting tables can be created in Excel

But must be saved as CSV files






Rows represent the focal class, columns

the “with” class

file save as
File: Save as
  • Saves all your parameter settings to one file _______.frg
  • Can be opened and reused using
  • File: Open

Fragstats: Execute

Executes program using the

parameter files and generates

comma delimited files




These files can be imported into excel.

so what metrics do i need
So, what metrics do I need?
  • It depends on what landscape charateristics you believe are impacting your species of intererst.
  • Most landscape scale wildlife studies are concerned with the amount and spatial characteristics of habitat.
  • Amount is is determined using pland in the class parameter settings
nest predation example
Nest predation example
  • Patch area (Area)
  • Patch shape (Shape)
  • Patch core area index% (CAI)
  • Class edge density (ED)
  • Class habitat percentage (Pland)
  • Class aggregation Index (AI)
area sensitive interior species
Area Sensitive Interior Species
  • Patch area (Area)
  • Patch area standard deviation (Area_CSD)
  • Class habitat percentage (Pland)
  • Class mean patch area (Area_MN)
  • Class patch area variation (Area_SD)
  • Class total core area (TCA)
  • Class core area percent of landscape (CPLAND)
population viability extinction and recolinization
Population Viability (Extinction and Recolinization)
  • Class habitat percentage (PLAND)
  • Class number of patches (NP)
  • Class largest patch index (LPI)
  • Class mean euclidean nearest neighbor distance (ENN_MN)
  • Class variation in euclidean nearest neighbor distance (ENN_SD)
  • Class Connectance Index (CONNECT)
  • Email:
  • Do not send email to my email unless you want to wait a few days for a response.