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Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling James D. Hurd and Daniel L. Civco Center for Land use Education.

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Presentation on theme: "Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling James D. Hurd and Daniel L. Civco Center for Land use Education."— Presentation transcript:

1 Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling James D. Hurd and Daniel L. Civco Center for Land use Education And Research (CLEAR) Department of Natural Resources Management & Engineering The University of Connecticut U-4087, Room 308, 1376 Storrs Road Storrs, CT 06269-4087 James D. Hurd and Daniel L. Civco Center for Land use Education And Research (CLEAR) Department of Natural Resources Management & Engineering The University of Connecticut U-4087, Room 308, 1376 Storrs Road Storrs, CT 06269-4087

2 Outline The Forest Fragmentation Model Application to land cover of different spatial resolutions Concluding remarks The Forest Fragmentation Model Application to land cover of different spatial resolutions Concluding remarks

3 Forest Fragmentation Modeling

4 Developed by Riitters et al. (2000) to assess global forest fragmentation from 1 km land cover data. Adapted for use on Landsat derived land cover information (30-meter spatial resolution). Categorizes forest pixels into 6 types: Core forest Perforated forest Edge forest Transition forest Patch forest Undetermined forest Background Forest Fragmentation Model

5 9x9 Analysis Window Forest Pixel Non-Forest Pixel Based on Image Convolution. Uses a roving analysis window of fixed size to determine vales of Pf (amount) and Pff (adjacency). Forest Fragmentation Model How It Works

6 Pf = 57 forest pixels 81 total pixels = 0.70 9x9 Analysis Window Forest Pixel Non-Forest Pixel Pf = proportion of forest pixels in analysis window. Forest Fragmentation Model How It Works

7 Forest Pixel Non-Forest Pixel Pf = 57 forest pixels 81 total pixels = 0.70Pff = 86 pixel pairs, both forest 119 pixel pairs, at least one forest = 0.72 144 pixel pairs in a 9x9 window (72 vertical, 72 horizontal) 9x9 Analysis Window Pff = how connected are those forest pixels. Forest Fragmentation Model How It Works

8 Core forest, Pf = 1.0 Perforated forest, Pf > 0.6 and Pf – Pff > 0 Edge forest, Pf > 0.6 and Pf – Pff < 0 Transition forest, Pf 0.4 Patch forest, Pf < 0.4 Undetermined forest, Pf > 0.6 and Pf = Pff Forest Fragmentation Model How It Works (Riitters et al., 2000)

9 Core Forest - all surrounding grid cells are forest. Perforated Forest - the interior edge of a forest tract such as would occur around a small clearing or house lot. Edge Forest - the exterior edge of a forest tract such as would occur along a large agricultural field or urban area. Transitional Forest - about half of the surrounding grid cells are forest. Patch Forest - less than 40% of surrounding grid cells are forest. Definitions Forest Fragmentation Model

10 Pf = 0.70 Forest Pixel Non-Forest Pixel Forest Fragmentation Model How It Works

11 Pf = 0.70 Pf - Pff = 0.70-0.72 = -0.02 How It Works Forest Pixel Non-Forest Pixel EDGE FOREST Forest Fragmentation Model

12 9x9 analysis window27x27 analysis window 81x81 analysis window Analysis windows of different sizes can be applied. As analysis window size increases, the amount of core forest decreases. Analysis Window Sizes 9x9 27x27 81x81 Forest Fragmentation Model

13 Three Related Items to Consider 1. Spatial resolution of input land cover. 2. Width of desired edge (i.e. how far from a non- forested feature do you need to be before you are in core forest?). 3. What analysis window size will you use? Forest Fragmentation Model

14 Core Forest to Non-forest n x n pixel analysis window, where n is odd minimum pixel distance = 1 + [(n – 1) / 2] Minimum distance = minimum pixel distance * pixel resolution A core forest pixel will be at least the minimum distance from a non-forest pixel (pixel center to pixel center).

15 Core Forest to Non-forest 9x9 analysis window = 1 + [(9 - 1) / 2] = 5 pixels For 30 m pixels = 5 x 30 = 150 m (pixel centers) (5 x 30) – 30 = 120m (pixel edges) 5 pixels (150 m) (120 m)

16 Three Related Items to Consider 1. Spatial resolution of input land cover. 2. Width of desired edge (i.e. how far from a non- forested feature do you need to be before you are in core forest?). 3. What analysis window size will you use? Forest Fragmentation Model

17 Application to Land Cover of Different Spatial Resolutions Using Analysis Windows of Same Pixel Dimensions

18 1 - meter5 - meter10 - meter 30 - meter Larger spatial resolution created by degrading the 1-meter spatial resolution land cover Land Cover

19 Forest Fragmentation Result 1 - meter5 - meter10 - meter 30 - meter 5 x 5 Analysis Window

20 Forest Fragmentation Result 1 - meter5 - meter10 - meter 30 - meter 15 x 15 Analysis Window

21 Forest Fragmentation Result 1 - meter5 - meter10 - meter 30 - meter 27 x 27 Analysis Window

22 Forest Fragmentation Result 1 - meter5 - meter10 - meter 30 - meter 81 x 81 Analysis Window

23 Application to Land Cover of Different Spatial Resolutions Using Analysis Windows of Same Areal Extent

24 Land Cover Larger spatial resolution created by degrading the 1-meter spatial resolution land cover 1 - meter5 - meter10 - meter 30 - meter

25 271x27155x5527x27 9x9 Analysis Window Area = approx. 7.3 hectares Forest Fragmentation Result 1 - meter5 - meter10 - meter 30 - meter

26 30 – meter, 9x9 1 – meter, 271x2715 – meter, 55x55 10 – meter, 27x27

27 Pf = 0.765 Pff = 0.744 Pf - Pff = 0.021 9x9 Analysis Window 30 – meter Land Cover 9x9 Analysis Window PERFORATED FOREST

28 Pf = 0.844 Pff = 0.916 Pf - Pff = -0.072 27x27 Analysis Window 10 – meter Land Cover 27x27 Analysis Window EDGE FOREST

29 Pf = 0.848 Pff = 0.966 Pf - Pff = -0.118 55x55 Analysis Window 5 – meter Land Cover 55x55 Analysis Window EDGE FOREST

30 Pf = 0.847 Pff = 0.983 Pf - Pff = -0.136 271x271 Analysis Window 1 – meter Land Cover 271x271 Analysis Window EDGE FOREST

31 Core forest, Pf = 1.0 Perforated forest, Pf > 0.6 and Pf – Pff > 0 Edge forest, Pf > 0.6 and Pf – Pff < 0 Transition forest, Pf 0.4 Patch forest, Pf < 0.4 Undetermined forest, Pf > 0.6 and Pf = Pff Edge/Perforated Definition

32 Land Cover 9x9 Analysis Window 9x9 Analysis Window applied to 30-meter spatial resolution land cover Altering Definition of Edge/Perforated

33 Results of Forest Frag. Model using a 27x27 Analysis Window on 10m Land Cover Riitters Original Definitions Perforated Pf – Pff > 0 Edge Pf – Pff < 0 Altered Definitions Perforated Pf – Pff > -0.05 Edge Pf – Pff < -0.05 Altered Definitions Perforated Pf – Pff > -0.1 Edge Pf – Pff < -0.1 NOT SO GOODBETTER MORE LIKE 30m 9x9 FF RESULTS Altering Definition of Edge/Perforated

34 Riitters Original Definitions Perforated Pf – Pff > 0 Edge Pf – Pff < 0 Altered Definitions Perforated Pf – Pff > -0.05 Edge Pf – Pff < -0.05 Altered Definitions Perforated Pf – Pff > -0.11 Edge Pf – Pff < -0.11 NOT SO GOODBETTER MORE LIKE 30m 9x9 FF RESULTS Results of Forest Frag. Model using a 55x55 Analysis Window on 5m Land Cover Altering Definition of Edge/Perforated

35 Riitters Original Definitions Perforated Pf – Pff > 0 Edge Pf – Pff < 0 Altered Definitions Perforated Pf – Pff > -0.1 Edge Pf – Pff < -0.1 Altered Definitions Perforated Pf – Pff > -0.15 Edge Pf – Pff < -0.15 NOT SO GOODBETTER MORE LIKE 30m 9x9 FF RESULTS Results of Forest Frag. Model using a 271x271 Analysis Window on 1m Land Cover Altering Definition of Edge/Perforated

36 30- meter 9x9 (original definitions)10- meter 31x31 (Pf-Pff > OR < -0.1)30 – meter, Pf – Pff threshold = 0.0 5 – meter, Pf – Pff threshold = -0.11 10 – meter, Pf – Pff threshold = -0.05 1 – meter, Pf – Pff threshold = -0.16

37 Class Edge Bias = 0.0488 * ln(r) - 0.1601 Class Edge Bias Curve where r = land cover spatial resolution

38 CLEAR Website clear.uconn.edu

39 http://clear.uconn.edu/projects/landscape/forestfrag/ff_tool.htm CLEAR Website

40 Downloadable Tool for ESRI ArcGIS 9.2

41 Concluding Remarks

42 When applying Forest Fragmentation model, three items to consider: - land cover spatial resolution - desired width of edge/perforation - analysis window size The spatial resolution (and landscape pattern) of the land cover impacts the result of the model: - it may be desirable to alter the definition of edge and perforated. Ultimately the results are only an approximation, but: - provide a powerful visual impact - allow for the quantification of forest fragmentation.

43 Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling Center for Land use Education And Research (CLEAR) Department of Natural Resources Management & Engineering The University of Connecticut U-4087, Room 308, 1376 Storrs Road Storrs, CT 06269-4087 Center for Land use Education And Research (CLEAR) Department of Natural Resources Management & Engineering The University of Connecticut U-4087, Room 308, 1376 Storrs Road Storrs, CT 06269-4087 james.hurd_jr@uconn.edu


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