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Predicting the volume and depth of lakes from map-derived parameters
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- Sobek, Sebastian (author)
- Uppsala universitet,Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vatten och miljö,Department of Aquatic Sciences and Assessment,Uppsala University,Institutionen för ekologi och genetik
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- Nisell, Jakob (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vatten och miljö,Department of Aquatic Sciences and Assessment,Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
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- Fölster, Jens (author)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för vatten och miljö,Department of Aquatic Sciences and Assessment,Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
- (creator_code:org_t)
- 2011
- 2011
- English.
- In: Inland Waters. - 2044-2041 .- 2044-205X. ; 1, s. 177-184
- Journal article (peer-reviewed)
Abstract
Subject headings
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- The volume and depth of a lake are basic properties that greatly affect a wide array of its physical, chemical, and biological properties. Nevertheless, volume and depth data are scarce in lake-rich regions of the world. We coupled the Swedish lake register to GIS-derived geographical and topographical parameters, attempting to predict the volume and depth of 6943 lakes from map-derived parameters only. Lake area and the maximum slope in a 50 m wide zone outside of the lake shoreline were the most important predictors of both lake volume and depth, explaining 92% of the variance in lake volume but <40% of the variance in both maximum and mean depth. Regression parameters of regional submodels of lake volume were similar across geographically and topographically different regions, indicating that the model probably is applicable for glacially formed lakes in general. Despite the high degree of explanation for lake volume, the uncertainty in predicted volume for a single lake is considerable (relative standard deviation, +/- 57%). However, the mean or cumulative lake volume of catchments containing several lakes (n > 15) is predictable from map-derived parameters with a greatly reduced uncertainty.
Subject headings
- LANTBRUKSVETENSKAPER -- Lantbruksvetenskap, skogsbruk och fiske -- Fisk- och akvakulturforskning (hsv//swe)
- AGRICULTURAL SCIENCES -- Agriculture, Forestry and Fisheries -- Fish and Aquacultural Science (hsv//eng)
- LANTBRUKSVETENSKAPER -- Annan lantbruksvetenskap -- Miljö- och naturvårdsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Other Agricultural Sciences -- Environmental Sciences related to Agriculture and Land-use (hsv//eng)
- NATURVETENSKAP -- Geovetenskap och miljövetenskap (hsv//swe)
- NATURAL SCIENCES -- Earth and Related Environmental Sciences (hsv//eng)
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- art (subject category)
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- AGRICULTURAL SCIENCES
- AGRICULTURAL SCI ...
- and Agriculture Fore ...
- and Fish and Aquacul ...
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- AGRICULTURAL SCIENCES
- AGRICULTURAL SCI ...
- and Other Agricultur ...
- and Environmental Sc ...
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