Assessing the Impact of Land Cover Spatial Resolution

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Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling James D.

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

Outline • The Forest Fragmentation Model • Application to land cover of different spatial

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

Forest Fragmentation Modeling

Forest Fragmentation Modeling

Forest Fragmentation Model Background Developed by Riitters et al. (2000) to assess global forest

Forest Fragmentation Model Background 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

Forest Fragmentation Model How It Works Based on Image Convolution. Uses a roving analysis

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

Forest Fragmentation Model How It Works 9 x 9 Analysis Window 57 forest pixels

Forest Fragmentation Model How It Works 9 x 9 Analysis Window 57 forest pixels Pf = = 0. 70 81 total pixels Forest Pixel Non-Forest Pixel Pf = proportion of forest pixels in analysis window.

Forest Fragmentation Model How It Works 9 x 9 Analysis Window 57 forest pixels

Forest Fragmentation Model How It Works 9 x 9 Analysis Window 57 forest pixels Pf = = 0. 70 81 total pixels 86 pixel pairs, both forest Pff = = 0. 72 119 pixel pairs, at least one forest Forest Pixel Non-Forest Pixel 144 pixel pairs in a 9 x 9 window (72 vertical, 72 horizontal) Pff = how connected are those forest pixels.

Forest Fragmentation Model How It Works • • • Core forest, Pf = 1.

Forest Fragmentation Model How It Works • • • 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. 6 and >0. 4 Patch forest, Pf < 0. 4 Undetermined forest, Pf > 0. 6 and Pf = Pff (Riitters et al. , 2000)

Forest Fragmentation Model Definitions Core Forest - all surrounding grid cells are forest. Perforated

Forest Fragmentation Model Definitions 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.

Forest Fragmentation Model How It Works Pf = 0. 70 Forest Pixel Non-Forest Pixel

Forest Fragmentation Model How It Works Pf = 0. 70 Forest Pixel Non-Forest Pixel

Forest Fragmentation Model How It Works Pf - Pff = 0. 70 -0. 72

Forest Fragmentation Model How It Works Pf - Pff = 0. 70 -0. 72 = -0. 02 Pf = 0. 70 Forest Pixel Non-Forest Pixel EDGE FOREST

Forest Fragmentation Model Analysis Window Sizes Analysis windows of different sizes can be applied.

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

Forest Fragmentation Model Three Related Items to Consider 1. Spatial resolution of input land

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

Core Forest to Non-forest n x n pixel analysis window, where n is odd

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).

Core Forest to Non-forest 9 x 9 analysis window = 1 + [(9 -

Core Forest to Non-forest 9 x 9 analysis window = 1 + [(9 - 1) / 2] = 5 pixels For 30 m pixels = 5 x 30 = 150 m (pixel centers) (5 x 30) – 30 = 120 m (pixel edges) 5 pixels (150 (120 m) No longer core forest

Forest Fragmentation Model Three Related Items to Consider 1. Spatial resolution of input land

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

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

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

Land Cover 1 - meter 5 - meter 10 - meter 30 - meter

Land Cover 1 - meter 5 - meter 10 - meter 30 - meter Larger spatial resolution created by degrading the 1 -meter spatial resolution land cover

Forest Fragmentation Result 5 x 5 Analysis Window 1 - meter 5 - meter

Forest Fragmentation Result 5 x 5 Analysis Window 1 - meter 5 - meter 10 - meter 30 - meter

Forest Fragmentation Result 15 x 15 Analysis Window 1 - meter 5 - meter

Forest Fragmentation Result 15 x 15 Analysis Window 1 - meter 5 - meter 10 - meter 30 - meter

Forest Fragmentation Result 27 x 27 Analysis Window 1 - meter 5 - meter

Forest Fragmentation Result 27 x 27 Analysis Window 1 - meter 5 - meter 10 - meter 30 - meter

Forest Fragmentation Result 81 x 81 Analysis Window 1 - meter 5 - meter

Forest Fragmentation Result 81 x 81 Analysis Window 1 - meter 5 - meter 10 - meter 30 - meter

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

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

Land Cover 1 - meter 5 - meter 10 - meter 30 - meter

Land Cover 1 - meter 5 - meter 10 - meter 30 - meter Larger spatial resolution created by degrading the 1 -meter spatial resolution land cover

Forest Fragmentation Result 1 - meter 5 - meter 10 - meter 30 -

Forest Fragmentation Result 1 - meter 5 - meter 10 - meter 30 - meter 271 x 271 55 x 55 27 x 27 9 x 9 Analysis Window Area = approx. 7. 3 hectares

1 – meter, 271 x 271 5 – meter, 55 x 55 10 –

1 – meter, 271 x 271 5 – meter, 55 x 55 10 – meter, 27 x 27 30 – meter, 9 x 9

30 – meter Land Cover 9 x 9 Analysis Window Pf = 0. 765

30 – meter Land Cover 9 x 9 Analysis Window Pf = 0. 765 Pff = 0. 744 Pf - Pff = 0. 021 PERFORATED FOREST

10 – meter Land Cover 27 x 27 Analysis Window Pf = 0. 844

10 – meter Land Cover 27 x 27 Analysis Window Pf = 0. 844 Pff = 0. 916 Pf - Pff = -0. 072 EDGE FOREST

5 – meter Land Cover 55 x 55 Analysis Window Pf = 0. 848

5 – meter Land Cover 55 x 55 Analysis Window Pf = 0. 848 Pff = 0. 966 Pf - Pff = -0. 118 EDGE FOREST

1 – meter Land Cover 271 x 271 Analysis Window Pf = 0. 847

1 – meter Land Cover 271 x 271 Analysis Window Pf = 0. 847 Pff = 0. 983 Pf - Pff = -0. 136 EDGE FOREST

Edge/Perforated Definition • • • Core forest, Pf = 1. 0 Perforated forest, Pf

Edge/Perforated Definition • • • 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. 6 and >0. 4 Patch forest, Pf < 0. 4 Undetermined forest, Pf > 0. 6 and Pf = Pff

Altering Definition of Edge/Perforated 9 x 9 Analysis Window applied to 30 -meter spatial

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

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 27 x 27

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 27 x 27 Analysis Window on 10 m 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 GOOD BETTER MORE LIKE 30 m 9 x 9 FF RESULTS

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 55 x 55

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 55 x 55 Analysis Window on 5 m 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. 11 Edge Pf – Pff < -0. 11 NOT SO GOOD BETTER MORE LIKE 30 m 9 x 9 FF RESULTS

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 271 x 271

Altering Definition of Edge/Perforated Results of Forest Frag. Model using a 271 x 271 Analysis Window on 1 m Land Cover 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 GOOD BETTER MORE LIKE 30 m 9 x 9 FF RESULTS

1 – meter, Pf – Pff threshold = -0. 16 5 – meter, Pf

1 – meter, Pf – Pff threshold = -0. 16 5 – meter, Pf – Pff threshold = -0. 11 10 -–meter 10 meter, 31 x 31 Pf – Pff (Pf-Pff threshold > OR = < -0. 05 -0. 1) 30 -–meter 30 meter, 9 x 9 Pf (original – Pff threshold definitions) = 0. 0

Class Edge Bias Curve Class Edge Bias = 0. 0488 * ln(r) - 0.

Class Edge Bias Curve Class Edge Bias = 0. 0488 * ln(r) - 0. 1601 where r = land cover spatial resolution

CLEAR Website clear. uconn. edu

CLEAR Website clear. uconn. edu

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

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

Downloadable Tool for ESRI Arc. GIS 9. 2

Downloadable Tool for ESRI Arc. GIS 9. 2

Concluding Remarks

Concluding Remarks

Concluding Remarks When applying Forest Fragmentation model, three items to consider: - land cover

Concluding Remarks 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.

Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling james. hurd_jr@uconn.

Assessing the Impact of Land Cover Spatial Resolution on Forest Fragmentation Modeling james. hurd_jr@uconn. edu 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