Fragstats and Landscape Metrics

Document Sample
Fragstats and Landscape Metrics Powered By Docstoc
					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
 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
 Gap landcover (MORAP)
 Landsat satellite imagery
 Digital elevation models (DEM)
 Digital raster graphics (DRG)
 Landform
             Fragstats 3.3
 http://www.umass.edu/landeco/research/f
  ragstats/downloads/fragstats_downloads.h
  tml
 FragSetup33.zip
               Fragstats 3.3
   Click Fragstats and select Set Run
    Parameters.
1   1   1   1   1   1   4   4   4   4   4   4   4


1   1   1   1   1   4   4   4   4   4   4   4   2


1   1   1   4   4   4   4   3   3   3   3   2   2


1   1   1   4   4   4   3   3   3   3   3   3   3


2   2   2   2   2   2   4   4   4   4   2   2   2


4   4   4   4   4   4   2   2   2   2   2   2   2


3   1   3   1   3   1   2   2   2   2   2   2   2


1   3   1   3   1   3   1   4   4   4   4   4   4
1   1   1   1   1   1   4   4   4   4   4   4   4


1   1   1   1   1   4   4   4   4   4   4   4   2


1   1   1   4   4   4   4   3   3   3   3   2   2


1   1   1   4   4   4   3   3   3   3   3   3   3


2   2   2   2   2   2   4   4   4   4   2   2   2


4   4   4   4   4   4   2   2   2   2   2   2   2


3   1   3   1   3   1   2   2   2   2   2   2   2


1   3   1   3   1   3   1   4   4   4   4   4   4
          Class Properties File
Class ID, Class Name, Status, Is Background


    1,forest,t,f
    2,grassland,t,f
    3,cropland,t,f
    4,glade,t,f
    5,water,t,f
    6,urban,f,t
    7,wetland,f,t
             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.
Fragstats: Select Patch Metrics
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
Fragstats: Select Class metrics
Fragstats: Select Landscape Metrics
              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
.patch
.class
.land

These files can be imported into excel.
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
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
HELP!
    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
 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
 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)
 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)
               Questions
 Email: wdijak@fs.fed.us
 Do not send email to my missouri.edu
  email unless you want to wait a few days
  for a response.

				
DOCUMENT INFO
Shared By:
Categories:
Tags:
Stats:
views:441
posted:11/24/2011
language:English
pages:43