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- W1993438414 abstract "Increasing surface temperatures in the Arctic are affecting the dynamics between lakes and their landscapes. In this paper, we use landscape metrics for land cover and statistical analysis to explore the interactions between such measures as shape and patch density indices for land cover and lake primary productivity. The objective was to identify metrics that could be used to predict lake primary productivity, as measured by chlorophyll a, total nitrogen and total phosphorus estimates. Land cover and landscape metrics for the Toolik region of Alaska were derived using satellite imagery and Fragstats software. The metrics, treated as independent variables in a stepwise regression, were derived for two levels of land cover. The first comprised the entire watershed studied; the second was derived using buffers created around water channels within each watershed. A statistically significant model for each dependent variable was obtained. Results suggest that, of the metrics tested; those related to broad lea..." @default.
- W1993438414 created "2016-06-24" @default.
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- W1993438414 date "2012-01-01" @default.
- W1993438414 modified "2023-09-23" @default.
- W1993438414 title "Landscape Controls over Major Nutrients and Primary Productivity of Arctic Lakes" @default.
- W1993438414 doi "https://doi.org/10.1559/15230406394187" @default.
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