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Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska

Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska

Prasad Pathak, Stephen Whalen
Copyright: © 2012 |Volume: 3 |Issue: 3 |Pages: 21
ISSN: 1947-9654|EISSN: 1947-9662|EISBN13: 9781466610774|DOI: 10.4018/jagr.2012070103
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MLA

Pathak, Prasad, and Stephen Whalen. "Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska." IJAGR vol.3, no.3 2012: pp.37-57. http://doi.org/10.4018/jagr.2012070103

APA

Pathak, P. & Whalen, S. (2012). Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska. International Journal of Applied Geospatial Research (IJAGR), 3(3), 37-57. http://doi.org/10.4018/jagr.2012070103

Chicago

Pathak, Prasad, and Stephen Whalen. "Using Geospatial Techniques to Analyze Landscape Factors Controlling Ionic Composition of Arctic Lakes, Toolik Lake Region, Alaska," International Journal of Applied Geospatial Research (IJAGR) 3, no.3: 37-57. http://doi.org/10.4018/jagr.2012070103

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Abstract

The impacts of climate change on landscapes in arctic Alaska are evident in terms of permafrost melting, frequent thermokarst activity, and the occurrence of more broadleaf vegetation. These changes may alter natural biogeochemical cycles of ions along with major nutrients and affect ionic compositions of lakes, as they are connected with the landscapes. However, the nature of the connectivity between lakes and landscapes in this region is not yet explored. The authors propose that geospatial analysis of landscape properties along with observed lake ion concentrations will enable an understanding of the currently existing landscape controls over ion inputs into the lakes. For the watersheds of 41 lakes in the Arctic Foothills region of Alaska, spatial properties of natural vegetation communities expressed in terms of percentage, shape complexity, and patch density metrics were derived using satellite data. Regression analyses were performed for concentration of ions as well as conductivity in lake water where the spatial metrics along with lake physical properties, lake order, and glacial till age categories were used as predicting variables in the regression. Landscape metrics for major land covers i.e., Percentage of Moist Acidic Tundra (MAT) and Moist Non-acidic Tundra (MNT) were the major predicting variables for concentration of several ions.

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