Fragstats and Landscape Metrics

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Presentation transcript:

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/fragstats/downloads/fragstats_downloads.html FragSetup33.zip

Fragstats 3.3 Click Fragstats and select Set Run Parameters.

1 4 2 3

1 4 2 3

1,forest,t,f 2,grassland,t,f 3,cropland,t,f 4,glade,t,f 5,water,t,f 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 0.8 0.4 0.6 0.1 0.2 0.5 0.3 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 -0.5799 120 -1.0437 161 1.44 -0.7716 1.6949 -0.5406 10.559 540 -0.9103 156 1.89 -0.7529 3.3898 -0.5275 11.8012 720 -0.8532 56 2.25 -0.738 5.0847 -0.5171 12.4224 1440 -0.6245 160 2.97 -0.7082 6.7797 -0.4961 13.6646 900 -0.796 151 3.06 -0.7044 8.4746 -0.4935 14.2857 1020 -0.7579 95 3.33 -0.6932 10.1695 -0.4857 14.9068 960 -0.7769 29 3.6 -0.682 11.8644 -0.4778 16.7702 1320 -0.6626 157 1080 -0.7388 152 4.05 -0.6634 15.2542 -0.4647 19.2547 1140 -0.7198 162 4.14 -0.6597 16.9492 -0.4621 20.4969 1380 -0.6436 33 4.41 -0.6485 18.6441 -0.4543 21.7391 1620 -0.5674 148 4.5 -0.6447 20.339 -0.4516 22.9814 1560 -0.5864 67 4.59 -0.641 22.0339 -0.449 23.6025 1740 -0.5293 158 1200 -0.7007 23 5.49 -0.6037 25.4237 -0.4229 28.5714 14 5.94 -0.585 27.1186 -0.4098 32.9193 21 6.12 -0.5776 28.8136 -0.4045 34.1615 99 6.21 -0.5738 30.5085 -0.4019 35.4037 87 6.3 -0.5701 32.2034 -0.3993 37.2671 2760 -0.2054 75 6.39 -0.5664 33.8983 -0.3967 38.5093 1680 -0.5483 109 1500 -0.6055 31 7.02 -0.5403 37.2881 -0.3784 39.7516 2160 -0.3959 86 35 7.56 -0.5179 40.678 -0.3627 40.9938

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 forest 36.8897 1.8398 179580 55.0665 20.0505 1.895 1.1031 250.8659 0.7161 grassland 35.1042 1.4105 176940 54.2569 24.887 1.9335 1.0993 263.751 0.6778 cropland 23.0026 1.2572 122760 37.6432 18.2963 1.9249 1.1007 469.1263 0.6569 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.