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Fragstats and Landscape Metrics

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Raster data stored as square raster cells or pixels. ... Landsat satellite imagery. Digital elevation models (DEM) Digital raster graphics (DRG) ... – PowerPoint PPT presentation

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Title: Fragstats and Landscape Metrics


1
Fragstats and Landscape Metrics
  • Bill Dijak
  • Wildlife Biologist/GIS Specialist USDA Forest
    Service
  • Room 309

2
Map Projection
  • UTM, Universal Transverse Mercator.
  • Datum, NAD1927, NAD1983, WGS1984.
  • Missouri use NAD1983, Zone 15, Unit meters.

3
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.

4
Examples of Raster Data
  • Gap landcover (MORAP)
  • Landsat satellite imagery
  • Digital elevation models (DEM)
  • Digital raster graphics (DRG)
  • Landform

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Fragstats 3.3
  • http//www.umass.edu/landeco/research/fragstats/do
    wnloads/fragstats_downloads.html
  • FragSetup33.zip

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Fragstats 3.3
  • Click Fragstats and select Set Run Parameters.

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1 1 1 1 1 1 4 4 4 4 4 4 4
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Class Properties File Class ID,
Class Name, Status, Is Background
1,forest,t,f 2,grassland,t,f 3,cropland,t,f 4,glad
e,t,f 5,water,t,f 6,urban,f,t 7,wetland,f,t
18
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.

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Fragstats Select Patch Metrics
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Weighting tables can be created in Excel
FTABLE 1 2 3 4
1 1 0.8 0 0.4
2 0 1 0.6 0.4
3 0.1 0.2 1 0.5
4 0.3 0.4 0.5 1
But must be saved as CSV files
FTABLE,1,2,3,4 1,1,0.8,0,0.4 2,0,1,0.6,0.4 3,0.1,0
.2,1,0.5 4,0.3,0.4,0.5,1
Rows represent the focal class, columns the
with class
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Fragstats Select Class metrics
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Fragstats Select Landscape Metrics
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File Save as
  • Saves all your parameter settings to one file
    _______.frg
  • Can be opened and reused using
  • File Open

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Fragstats Execute Executes program using the
parameter files and generates comma delimited
files .patch .class .land These files can be
imported into excel.
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LID PID TYPE AREA AREA_CSD AREA_CPS AREA_LSD AREA_LPS PERIM PERIM_CSD
C\aaaa\elt7 74 forest 0.09 -0.8276 0 -0.5799 0 120 -1.0437
C\aaaa\elt7 161 forest 1.44 -0.7716 1.6949 -0.5406 10.559 540 -0.9103
C\aaaa\elt7 156 forest 1.89 -0.7529 3.3898 -0.5275 11.8012 720 -0.8532
C\aaaa\elt7 56 forest 2.25 -0.738 5.0847 -0.5171 12.4224 1440 -0.6245
C\aaaa\elt7 160 forest 2.97 -0.7082 6.7797 -0.4961 13.6646 900 -0.796
C\aaaa\elt7 151 forest 3.06 -0.7044 8.4746 -0.4935 14.2857 1020 -0.7579
C\aaaa\elt7 95 forest 3.33 -0.6932 10.1695 -0.4857 14.9068 960 -0.7769
C\aaaa\elt7 29 forest 3.6 -0.682 11.8644 -0.4778 16.7702 1320 -0.6626
C\aaaa\elt7 157 forest 3.6 -0.682 11.8644 -0.4778 16.7702 1080 -0.7388
C\aaaa\elt7 152 forest 4.05 -0.6634 15.2542 -0.4647 19.2547 1140 -0.7198
C\aaaa\elt7 162 forest 4.14 -0.6597 16.9492 -0.4621 20.4969 1380 -0.6436
C\aaaa\elt7 33 forest 4.41 -0.6485 18.6441 -0.4543 21.7391 1620 -0.5674
C\aaaa\elt7 148 forest 4.5 -0.6447 20.339 -0.4516 22.9814 1560 -0.5864
C\aaaa\elt7 67 forest 4.59 -0.641 22.0339 -0.449 23.6025 1740 -0.5293
C\aaaa\elt7 158 forest 4.59 -0.641 22.0339 -0.449 23.6025 1200 -0.7007
C\aaaa\elt7 23 forest 5.49 -0.6037 25.4237 -0.4229 28.5714 1620 -0.5674
C\aaaa\elt7 14 forest 5.94 -0.585 27.1186 -0.4098 32.9193 1380 -0.6436
C\aaaa\elt7 21 forest 6.12 -0.5776 28.8136 -0.4045 34.1615 1380 -0.6436
C\aaaa\elt7 99 forest 6.21 -0.5738 30.5085 -0.4019 35.4037 1440 -0.6245
C\aaaa\elt7 87 forest 6.3 -0.5701 32.2034 -0.3993 37.2671 2760 -0.2054
C\aaaa\elt7 75 forest 6.39 -0.5664 33.8983 -0.3967 38.5093 1680 -0.5483
C\aaaa\elt7 109 forest 6.39 -0.5664 33.8983 -0.3967 38.5093 1500 -0.6055
C\aaaa\elt7 31 forest 7.02 -0.5403 37.2881 -0.3784 39.7516 2160 -0.3959
C\aaaa\elt7 86 forest 7.02 -0.5403 37.2881 -0.3784 39.7516 1740 -0.5293
C\aaaa\elt7 35 forest 7.56 -0.5179 40.678 -0.3627 40.9938 1560 -0.5864
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LID TYPE PLAND PD TE ED AREA_MN SHAPE_MN FRAC_MN PARA_MN CIRCLE_MN
C\aaaa\elt7 water 4.159 0.368 34860 10.6895 11.3025 2.5208 1.1549 322.0433 0.8468
C\aaaa\elt7 forest 36.8897 1.8398 179580 55.0665 20.0505 1.895 1.1031 250.8659 0.7161
C\aaaa\elt7 grassland 35.1042 1.4105 176940 54.2569 24.887 1.9335 1.0993 263.751 0.6778
C\aaaa\elt7 cropland 23.0026 1.2572 122760 37.6432 18.2963 1.9249 1.1007 469.1263 0.6569
C\aaaa\elt7 glade 0.367 0.092 5700 1.7478 3.99 2.3137 1.1529 643.5029 0.703
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HELP!
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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

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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)

41
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)

42
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)

43
Questions
  • Email wdijak_at_fs.fed.us
  • Do not send email to my missouri.edu email unless
    you want to wait a few days for a response.
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