Literature DB >> 18811330

The light: nutrient ratio in lakes: the balance of energy and materials affects ecosystem structure and process.

R W Sterner1, J J Elser, E J Fee, S J Guildford, T H Chrzanowski.   

Abstract

The amounts of solar energy and materials are two of the chief factors determining ecosystem structure and process. Here, we examine the relative balance of light and phosphorus in a set of freshwater pelagic ecosystems. We calculated a ratio of light: phosphorus by putting mixed-layer mean light in the numerator and total P concentration in the denominator. This light: phosphorus ratio was a good predictor of the C:P ratio of particulate matter (seston), with a positive correlation demonstrated between these two ratios. We argue that the balance between light and nutrients controls "nutrient use efficiency" at the base of the food web in lakes. Thus, when light energy is high relative to nutrient availability, the base of the food web is carbon rich and phosphorus poor. In the opposite case, where light is relatively less available compared to nutrients, the base of the food web is relatively P rich. The significance of this relationship lies in the fact that the composition of sestonic material is known to influence a large number of ecosystem processes such as secondary production, nutrient cycling, and (we hypothesize) the relative strength of microbial versus grazing processes. Using the central result of increased C:P ratio with an increased light: phosphorus ratio, we make specific predictions of how ecosystem structure and process should vary with light and nutrient balance. Among these predictions, we suggest that lake ecosystems with low light: phosphorus ratios should have several trophic levels simultaneously carbon or energy limited, while ecosystems with high light: phosphorus ratios should have several trophic levels simultaneously limited by phosphorus. Our results provide an alternative perspective to the question of what determines nutrient use efficiency in ecosystems.

Entities:  

Year:  1997        PMID: 18811330     DOI: 10.1086/286088

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  37 in total

1.  Interactive effects of light and nutrients on phytoplankton stoichiometry.

Authors:  Elizabeth M Dickman; Michael J Vanni; Martin J Horgan
Journal:  Oecologia       Date:  2006-07-06       Impact factor: 3.225

2.  Light, nutrients, and food-chain length constrain planktonic energy transfer efficiency across multiple trophic levels.

Authors:  Elizabeth M Dickman; Jennifer M Newell; María J González; Michael J Vanni
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-14       Impact factor: 11.205

3.  Interactions between growth-dependent changes in cell size, nutrient supply and cellular elemental stoichiometry of marine Synechococcus.

Authors:  Nathan S Garcia; Juan A Bonachela; Adam C Martiny
Journal:  ISME J       Date:  2016-04-08       Impact factor: 10.302

4.  The snail Potamopyrgus antipodarum grows faster and is more active in the shade, independent of food quality.

Authors:  A Liess; K Lange
Journal:  Oecologia       Date:  2011-03-25       Impact factor: 3.225

5.  Food web efficiency differs between humic and clear water lake communities in response to nutrients and light.

Authors:  C L Faithfull; P Mathisen; A Wenzel; A K Bergström; T Vrede
Journal:  Oecologia       Date:  2014-11-06       Impact factor: 3.225

6.  Research on self-purification capacity of Lake Taihu.

Authors:  Tao Han; Hongju Zhang; Weiping Hu; Jiancai Deng; Qinqin Li; Guie Zhu
Journal:  Environ Sci Pollut Res Int       Date:  2014-12-18       Impact factor: 4.223

7.  Ocean stoichiometry, global carbon, and climate.

Authors:  Robert W Sterner
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-23       Impact factor: 11.205

8.  Do grazers respond to or control food quality? Cross-scale analysis of algivorous fish in littoral Lake Tanganyika.

Authors:  Renalda N Munubi; Peter B McIntyre; Yvonne Vadeboncoeur
Journal:  Oecologia       Date:  2018-08-12       Impact factor: 3.225

9.  Redfield Ratios in Inland Waters: Higher Biological Control of C:N:P Ratios in Tropical Semi-arid High Water Residence Time Lakes.

Authors:  Ng H They; André M Amado; James B Cotner
Journal:  Front Microbiol       Date:  2017-08-08       Impact factor: 5.640

10.  A Bayesian network model for estimating stoichiometric ratios of lake seston components.

Authors:  Lester L Yuan; John R Jones
Journal:  Inland Waters       Date:  2019-04-11       Impact factor: 2.299

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