2022
DOI: 10.1029/2022gl098499
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Problems With the Shoreline Development Index—A Widely Used Metric of Lake Shape

Abstract: The shoreline development index-The ratio of a lake's shore length to the circumference of a circle with the lake's area-Is a core metric of lake morphometry used in Earth and planetary sciences. In this paper, we demonstrate that the shoreline development index is scale-dependent and cannot be used to compare lakes with different areas. We show that large lakes will have higher shoreline development index measurements than smaller lakes of the same characteristic shape, even when mapped at the same scale. Spe… Show more

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Cited by 12 publications
(4 citation statements)
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“…High SDI values are hypothesized to be conducive to Walleye survival because of a greater potential refuge area (Pratt and Fox 2001). It is important to note that a recent study found that SDI was scale dependent on lakes and could result in potential biases in morphological measurements (e.g., different resolution maps) used for SDI calculations (Seekell et al 2022). Therefore, mixed results between SDI and Walleye recruitment may be difficult to resolve, and further work should address whether lake characteristics are directly related to SDI to help determine whether the effect of SDI on Walleye is context dependent.…”
Section: Discussionmentioning
confidence: 99%
“…High SDI values are hypothesized to be conducive to Walleye survival because of a greater potential refuge area (Pratt and Fox 2001). It is important to note that a recent study found that SDI was scale dependent on lakes and could result in potential biases in morphological measurements (e.g., different resolution maps) used for SDI calculations (Seekell et al 2022). Therefore, mixed results between SDI and Walleye recruitment may be difficult to resolve, and further work should address whether lake characteristics are directly related to SDI to help determine whether the effect of SDI on Walleye is context dependent.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, our method for calculating wetland fraction is scale-sensitive and yields larger values for smaller lakes. The classic Shoreline Development Index (SDI) has similar scale dependence (Seekell, Cael, and Byström 2022). Thus, small and/or sinuous lakes have higher wetland fractions, regardless of land cover type.…”
Section: Discussionmentioning
confidence: 99%
“…The shoreline development index (D L ) was estimated for each reservoir following the bias-corrected equation of Seekell et al [41] to improve comparison among reservoirs with different surface areas at the conservation pool, using an average shoreline fractal dimension value of 1.43 estimated from the regression of the logarithm of shore length by the logarithm of area (14 reservoirs, d = slope × 2). This average d value was similar to the average d value for reservoirs elsewhere (e.g., 1.4) [42].…”
Section: Reservoir Physical Features 251 Morphometry and Stratificationmentioning
confidence: 99%