Lake metabolism scales with lake morphometry and catchment conditions

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Lake metabolism scales with lake morphometry and catchment conditions. / Stæhr, Peter Anton; Båstrup-Spohr, Lars; Jensen, Kaj Sand; Stedmon, Colin.

In: Aquatic Sciences, Vol. 74, No. 1, 2012, p. 155-169.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Stæhr, PA, Båstrup-Spohr, L, Jensen, KS & Stedmon, C 2012, 'Lake metabolism scales with lake morphometry and catchment conditions', Aquatic Sciences, vol. 74, no. 1, pp. 155-169. https://doi.org/10.1007/s00027-011-0207-6

APA

Stæhr, P. A., Båstrup-Spohr, L., Jensen, K. S., & Stedmon, C. (2012). Lake metabolism scales with lake morphometry and catchment conditions. Aquatic Sciences, 74(1), 155-169. https://doi.org/10.1007/s00027-011-0207-6

Vancouver

Stæhr PA, Båstrup-Spohr L, Jensen KS, Stedmon C. Lake metabolism scales with lake morphometry and catchment conditions. Aquatic Sciences. 2012;74(1):155-169. https://doi.org/10.1007/s00027-011-0207-6

Author

Stæhr, Peter Anton ; Båstrup-Spohr, Lars ; Jensen, Kaj Sand ; Stedmon, Colin. / Lake metabolism scales with lake morphometry and catchment conditions. In: Aquatic Sciences. 2012 ; Vol. 74, No. 1. pp. 155-169.

Bibtex

@article{9b1d91fb8b8546c6989bbe53763ce42a,
title = "Lake metabolism scales with lake morphometry and catchment conditions",
abstract = "We used a comparative data set for 25 lakes in Denmark sampled during summer to explore the influence of lake morphometry, catchment conditions, light availability and nutrient input on lake metabolism. We found that (1) gross primary production (GPP) and community respiration (R) decline with lake area, water depth and drainage ratio, and increase with algal biomass (Chl), dissolved organic carbon (DOC) and total phosphorus (TP); (2) all lakes, especially small with less incident light, and forest lakes with high DOC, have negative net ecosystem production (NEP <0); (3) daily variability of GPP decreases with lake area and water depth as a consequence of lower input of nutrients and organic matter per unit water volume; (4) the influence of benthic processes on free water metabolic measures declines with increasing lake size; and (5) with increasing lake size, lake metabolism decreases significantly per unit water volume, while depth integrated areal rates remain more constant due to a combination of increased light and nutrient limitation. Overall, these meta-parameters have as many significant but usually weaker relationships to whole-lake and benthic metabolism as have TP, Chl and DOC that are directly linked to photosynthesis and respiration. Combining water depth and Chl to predict GPP, and water depth and DOC to predict R, lead to stronger multiple regression models accounting for 57-63% of the variability of metabolism among the 25 lakes. It is therefore important to consider differences in lake morphometry and catchment conditions when comparing metabolic responses of lakes to human impacts.",
author = "St{\ae}hr, {Peter Anton} and Lars B{\aa}strup-Spohr and Jensen, {Kaj Sand} and Colin Stedmon",
year = "2012",
doi = "10.1007/s00027-011-0207-6",
language = "English",
volume = "74",
pages = "155--169",
journal = "Aquatic Sciences",
issn = "1015-1621",
publisher = "Springer Basel AG",
number = "1",

}

RIS

TY - JOUR

T1 - Lake metabolism scales with lake morphometry and catchment conditions

AU - Stæhr, Peter Anton

AU - Båstrup-Spohr, Lars

AU - Jensen, Kaj Sand

AU - Stedmon, Colin

PY - 2012

Y1 - 2012

N2 - We used a comparative data set for 25 lakes in Denmark sampled during summer to explore the influence of lake morphometry, catchment conditions, light availability and nutrient input on lake metabolism. We found that (1) gross primary production (GPP) and community respiration (R) decline with lake area, water depth and drainage ratio, and increase with algal biomass (Chl), dissolved organic carbon (DOC) and total phosphorus (TP); (2) all lakes, especially small with less incident light, and forest lakes with high DOC, have negative net ecosystem production (NEP <0); (3) daily variability of GPP decreases with lake area and water depth as a consequence of lower input of nutrients and organic matter per unit water volume; (4) the influence of benthic processes on free water metabolic measures declines with increasing lake size; and (5) with increasing lake size, lake metabolism decreases significantly per unit water volume, while depth integrated areal rates remain more constant due to a combination of increased light and nutrient limitation. Overall, these meta-parameters have as many significant but usually weaker relationships to whole-lake and benthic metabolism as have TP, Chl and DOC that are directly linked to photosynthesis and respiration. Combining water depth and Chl to predict GPP, and water depth and DOC to predict R, lead to stronger multiple regression models accounting for 57-63% of the variability of metabolism among the 25 lakes. It is therefore important to consider differences in lake morphometry and catchment conditions when comparing metabolic responses of lakes to human impacts.

AB - We used a comparative data set for 25 lakes in Denmark sampled during summer to explore the influence of lake morphometry, catchment conditions, light availability and nutrient input on lake metabolism. We found that (1) gross primary production (GPP) and community respiration (R) decline with lake area, water depth and drainage ratio, and increase with algal biomass (Chl), dissolved organic carbon (DOC) and total phosphorus (TP); (2) all lakes, especially small with less incident light, and forest lakes with high DOC, have negative net ecosystem production (NEP <0); (3) daily variability of GPP decreases with lake area and water depth as a consequence of lower input of nutrients and organic matter per unit water volume; (4) the influence of benthic processes on free water metabolic measures declines with increasing lake size; and (5) with increasing lake size, lake metabolism decreases significantly per unit water volume, while depth integrated areal rates remain more constant due to a combination of increased light and nutrient limitation. Overall, these meta-parameters have as many significant but usually weaker relationships to whole-lake and benthic metabolism as have TP, Chl and DOC that are directly linked to photosynthesis and respiration. Combining water depth and Chl to predict GPP, and water depth and DOC to predict R, lead to stronger multiple regression models accounting for 57-63% of the variability of metabolism among the 25 lakes. It is therefore important to consider differences in lake morphometry and catchment conditions when comparing metabolic responses of lakes to human impacts.

U2 - 10.1007/s00027-011-0207-6

DO - 10.1007/s00027-011-0207-6

M3 - Journal article

VL - 74

SP - 155

EP - 169

JO - Aquatic Sciences

JF - Aquatic Sciences

SN - 1015-1621

IS - 1

ER -

ID: 41888880