. Assessing wetland condition with GIS : a landscape integrity model for Montana . Wetlands; Wetlands; Landscape ecology; Geographic information systems; GIS-based assessment; Level I assessment; Wetland assessment; Landscape integrity. N 0 25 III' Miles 10 1 J. Figure 6. LIM values by pixel. 3. Identify high-integrity hot spots where high quality wetlands are likely to be found. Although site-specific disturbances will always be a possibility, the LIM can be used to locate areas where large-scale, negative human influences are minimal. To create Figure 7, we used a conditional statement in S

. Assessing wetland condition with GIS : a landscape integrity model for Montana . Wetlands; Wetlands; Landscape ecology; Geographic information systems; GIS-based assessment; Level I assessment; Wetland assessment; Landscape integrity. N 0 25 III' Miles 10 _1_J. Figure 6. LIM values by pixel. 3. Identify high-integrity hot spots where high quality wetlands are likely to be found. Although site-specific disturbances will always be a possibility, the LIM can be used to locate areas where large-scale, negative human influences are minimal. To create Figure 7, we used a conditional statement in S Stock Photo
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Library Book Collection / Alamy Stock Photo

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RJYT8W

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1001 x 2498 px | 8.5 x 21.1 cm | 3.3 x 8.3 inches | 300dpi

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. Assessing wetland condition with GIS : a landscape integrity model for Montana . Wetlands; Wetlands; Landscape ecology; Geographic information systems; GIS-based assessment; Level I assessment; Wetland assessment; Landscape integrity. N 0 25 III' Miles 10 _1_J. Figure 6. LIM values by pixel. 3. Identify high-integrity hot spots where high quality wetlands are likely to be found. Although site-specific disturbances will always be a possibility, the LIM can be used to locate areas where large-scale, negative human influences are minimal. To create Figure 7, we used a conditional statement in Spatial Analyst to identify pixels with a LIM value of 100 (no human impacts). Then we used block statistics in Spatial Analyst to calculate average scores over 3 kilometer by 3 kilometer blocks. Block statistics could be calculated for larger or smaller areas, but this area allows a user to pick out contiguous areas of high integrity. Figure 8 is zoomed into northwestern Montana, where the populated Flathead Valley and surrounded timberlands contrast sharply with the pristine sections of Glacier National Park and the Middle Fork Flathead watershed. In this case. 17. Please note that these images are extracted from scanned page images that may have been digitally enhanced for readability - coloration and appearance of these illustrations may not perfectly resemble the original work.. Vance, Linda K. (Katherine); Montana Natural Heritage Program; Montana. Dept. of Environmental Quality; United States. Environmental Protection Agency. Helena, Mont. : Montana Natural Heritage Program

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