Fragstats and Fragstats and Landscape MetricsLandscape Metrics

Bill DijakBill DijakWildlife Biologist/GIS Specialist Wildlife Biologist/GIS Specialist

USDA Forest ServiceUSDA Forest ServiceRoom 309Room 309

Map ProjectionMap Projection

UTM, Universal UTM, Universal Transverse Transverse Mercator.Mercator.

Datum, NAD1927, Datum, NAD1927, NAD1983, NAD1983, WGS1984.WGS1984.

Missouri use Missouri use NAD1983, Zone 15, NAD1983, Zone 15, Unit meters.Unit meters.

Two forms of GIS dataTwo forms of GIS data

Vector data, points lines and polygons Vector data, points lines and polygons usually stored as a shapefile (.shp).usually stored as a shapefile (.shp).

Raster data stored as square raster Raster data stored as square raster cells or pixels.cells or pixels.

Each raster cell has a numerical value Each raster cell has a numerical value representing a landscape representing a landscape characteristic and resolution which is characteristic and resolution which is the length of the side of the raster cell.the length of the side of the raster cell.

ESRI rasters are often referred to as ESRI rasters are often referred to as grids.grids.

Examples of Raster DataExamples of Raster Data

Gap landcover (MORAP)Gap landcover (MORAP)Landsat satellite imageryLandsat satellite imageryDigital elevation models (DEM)Digital elevation models (DEM)Digital raster graphics (DRG)Digital raster graphics (DRG)LandformLandform

Fragstats 3.3Fragstats 3.3

http://www.umass.edu/landeco/reseahttp://www.umass.edu/landeco/research/fragstats/downloads/fragstats_dorch/fragstats/downloads/fragstats_downloads.htmlwnloads.html

FragSetup33.zipFragSetup33.zip

Fragstats 3.3Fragstats 3.3

Click Fragstats and select Set Run Click Fragstats and select Set Run Parameters.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

1,forest,t,f2,grassland,t,f3,cropland,t,f4,glade,t,f5,water,t,f6,urban,f,t7,wetland,f,t

Class Properties FileClass ID, Class Name, Status, Is Background

Patch MetricsPatch Metrics

Provide metric information for each and Provide metric information for each and every patch found in the landscapeevery patch found in the landscape

Generate an Generate an EnormousEnormous amount of amount of information.information.

Are useful for generating information for Are useful for generating information for specific locations on the landscape such specific locations on the landscape such as nest locations or point count locations.as nest locations or point count locations.

Example: An area-sensitive species Example: An area-sensitive species selects patches of forest of some selects patches of forest of some minimum size.minimum size.

Fragstats: Select Patch Metrics

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

FTABLE,1,2,3,41,1,0.8,0,0.42,0,1,0.6,0.43,0.1,0.2,1,0.54,0.3,0.4,0.5,1

Weighting tables can be created in Excel

But must be saved as CSV files

Rows represent the focal class, columnsthe “with” class

Fragstats: Select Class metrics

Fragstats: Select Landscape Metrics

File: Save asFile: Save as

Saves all your parameter settings to Saves all your parameter settings to one file _______.frgone file _______.frg

Can be opened and reused usingCan be opened and reused usingFile: OpenFile: Open

Fragstats: Execute

Executes program using the parameter files and generatescomma 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!HELP!

So, what metrics do I need?So, what metrics do I need?

It depends on what landscape It depends on what landscape charateristics you believe are charateristics you believe are impacting your species of intererst.impacting your species of intererst.

Most landscape scale wildlife studies Most landscape scale wildlife studies are concerned with the amount and are concerned with the amount and spatial characteristics of habitat.spatial characteristics of habitat.

Amount is is determined using pland Amount is is determined using pland in the class parameter settingsin the class parameter settings

Nest predation exampleNest predation example

Patch area (Area)Patch area (Area)Patch shape (Shape)Patch shape (Shape)Patch core area index% (CAI)Patch core area index% (CAI)Class edge density (ED)Class edge density (ED)Class habitat percentage (Pland)Class habitat percentage (Pland)Class aggregation Index (AI)Class aggregation Index (AI)

Area Sensitive Interior Area Sensitive Interior SpeciesSpecies

Patch area (Area)Patch area (Area)Patch area standard deviation Patch area standard deviation

(Area_CSD)(Area_CSD)Class habitat percentage (Pland)Class habitat percentage (Pland)Class mean patch area (Area_MN)Class mean patch area (Area_MN)Class patch area variation (Area_SD)Class patch area variation (Area_SD)Class total core area (TCA)Class total core area (TCA)Class core area percent of landscape Class core area percent of landscape

(CPLAND)(CPLAND)

Population Viability Population Viability (Extinction and Recolinization)(Extinction and Recolinization)

Class habitat percentage (PLAND)Class habitat percentage (PLAND)Class number of patches (NP)Class number of patches (NP)Class largest patch index (LPI)Class largest patch index (LPI)Class mean euclidean nearest Class mean euclidean nearest

neighbor distance (ENN_MN)neighbor distance (ENN_MN)Class variation in euclidean nearest Class variation in euclidean nearest

neighbor distance (ENN_SD)neighbor distance (ENN_SD)Class Connectance Index (CONNECT)Class Connectance Index (CONNECT)

QuestionsQuestions

Email: Email: wdijak@fs.fed.uswdijak@fs.fed.usDo not send email to my Do not send email to my

missouri.edu email unless you want missouri.edu email unless you want to wait a few days for a response.to wait a few days for a response.