Polar lakes of the World: Current data and status of investigations

Ryanzhin, S. V.; Subetto, Dmitry; Kochkov, N. V.; Akhmetova, N. S.; Veinmeister, N. V.

doi:10.1134/s0097807810040019

Cited by 15 publications

(6 citation statements)

References 11 publications

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“…Our total volume estimate for natural lakes ≥10 ha of 181.9 × 10 3 km 3 is similar to those found in the literature of the past decades171819 (Supplementary Table 1). Estimates for the largest global lakes seem particularly robust.…”

Section: Discussionsupporting

confidence: 86%

“…For example, our data matches the estimate of Tamrazyan16 of 160,600 km 3 for lakes over 6,000 km 2 nearly exactly. Without the 10 most voluminous lakes, we estimate that the remaining world lakes contain 28,991 km 3 of water, while Shiklomanov and Rodda19, and Ryanzhin et al 18. estimated 23,265 and 26,465 km 3 , respectively.…”

Section: Discussionmentioning

confidence: 74%

“…Previous estimates of the total global volume of water contained in lakes ranged from 166 to 275 × 10 3 km 3 (refs 13, 14, 15, 16), with more recent figures converging to 176–180 × 10 3 km 3 (refs 17, 18, 19). However, these estimates are not spatially explicit, are based on incomplete data sets of lake distribution or use simple extrapolation methods that rely on a limited set of variables.…”

mentioning

confidence: 99%

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Estimating the volume and age of water stored in global lakes using a geo-statistical approach

et al. 2016

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Lakes are key components of biogeochemical and ecological processes, thus knowledge about their distribution, volume and residence time is crucial in understanding their properties and interactions within the Earth system. However, global information is scarce and inconsistent across spatial scales and regions. Here we develop a geo-statistical model to estimate the volume of global lakes with a surface area of at least 10 ha based on the surrounding terrain information. Our spatially resolved database shows 1.42 million individual polygons of natural lakes with a total surface area of 2.67 × 106 km2 (1.8% of global land area), a total shoreline length of 7.2 × 106 km (about four times longer than the world's ocean coastline) and a total volume of 181.9 × 103 km3 (0.8% of total global non-frozen terrestrial water stocks). We also compute mean and median hydraulic residence times for all lakes to be 1,834 days and 456 days, respectively.

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Section: Discussionsupporting

confidence: 86%

Section: Discussionmentioning

confidence: 74%

mentioning

confidence: 99%

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Estimating the volume and age of water stored in global lakes using a geo-statistical approach

et al. 2016

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“…These tests have societal relevance because the power-law size distribution is the basis for most estimates of the global contributions of lakes to the carbon cycle, including some of those cited in IPCC reports (e.g., Tranvik et al (2009); Bastviken et al (2011)); they also have relevance for ecology, biogeochemistry, and even the study of other planets (Supplementary Material §3). Inclusion of values based on a power law assumption in high profile science-policy interfaces (e.g., Ciais et al (2013)) engenders a responsibility to ensure accurate characterization, but rigorous evaluations are never completed prior to extrapolation and even cursory evaluations are rare (e.g., Lehner and Döll (2004); Meybeck (1995); Telmer and Costa (2007); Ryaanzhin (2010Ryaanzhin ( , 2015; Downing et al (2006); Chumchal et al (2016); Raymond et al (2013);Lazzarino et al (2009); Minns et al (2008); Kastowski et al (2011)). Application of goodness-of-fit tests is a simple and pragmatic way to fulfill this responsibility.…”

Section: Discussionmentioning

confidence: 99%

The size-distribution of Earth’s lakes and ponds: limits to power-law behavior

Cael¹,

Biggs²,

Seekell³

2022

Preprint

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Global-scale characterizations of Earth's lakes and ponds assume their surface areas are power-law distributed across the full size range. However, empirical power-laws only hold across finite ranges of scales. In this paper, we synthesize evidence for upper and lower limits to power-law behavior in lake size-distributions. We find support for the power-law assumption in general. We also find strong evidence for a lower limit to this power-law behavior, although the specific value for this limit is highly variable (0.001 - 1 km$^2$), corresponding to orders of magnitude differences of the total number of lakes and ponds. The exact mechanisms that break the power-law at this limit are unknown, but we are able rule out mapping errors as a first-order factor. There is no evidence for an upper limit to power-law behavior at the global scale. There is inconsistent evidence for an upper limit at regional-scales. Explaining variations in these limits stands to improve the accuracy of global lake characterizations and shed light on the specific mechanism responsible for forming and breaking lake power-law distributions.

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“…These tests have societal relevance because the power-law size distribution is the basis for most estimates of the global contributions of lakes to the carbon cycle, including some of those cited in IPCC reports (e.g., Tranvik et al (2009); Bastviken et al (2011)); they also have relevance for ecology, biogeochemistry, and even the study of other planets (Supplementary Material S3). Inclusion of values based on a power law assumption in high profile science-policy interfaces [e.g., Ciais et al (2013)] engenders a responsibility to ensure accurate characterization, but rigorous evaluations are never completed prior to extrapolation and even cursory evaluations are rare (e.g., Lehner and Döll (2004); Meybeck (1995); Telmer and Costa (2007); Ryaanzhin (2010Ryaanzhin ( , 2015; Downing et al (2006); Chumchal et al (2016); Raymond et al (2013); Lazzarino et al (2009); Minns et al (2008); Kastowski et al (2011)). Application of goodness-of-fit tests is a simple and pragmatic way to fulfill this responsibility.…”

Section: Discussionmentioning

confidence: 99%

The size-distribution of earth’s lakes and ponds: Limits to power-law behavior

Cael

Biggs

Seekell

2022

Front. Environ. Sci.

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Global-scale characterizations of Earth’s lakes and ponds assume their surface areas are power-law distributed across the full size range. However, empirical power-laws only hold across finite ranges of scales. In this paper, we synthesize evidence for upper and lower limits to power-law behavior in lake and pond size-distributions. We find support for the power-law assumption in general. We also find strong evidence for a lower limit to this power-law behavior, although the specific value for this limit is highly variable (0.001–1 km2), corresponding to orders of magnitude differences of the total number of lakes and ponds. The exact mechanisms that break the power-law at this limit are unknown. The power-law extends to the size of Earth’s largest lake. There is inconsistent evidence for an upper limit at regional-scales. Explaining variations in these limits stands to improve the accuracy of global lake characterizations and shed light on the specific mechanism responsible for forming and breaking lake power-law distributions.

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Polar lakes of the World: Current data and status of investigations

Cited by 15 publications

References 11 publications

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

Estimating the volume and age of water stored in global lakes using a geo-statistical approach

The size-distribution of Earth’s lakes and ponds: limits to power-law behavior

The size-distribution of earth’s lakes and ponds: Limits to power-law behavior

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