Evidence map›Paper›PMID 34529311›Full record

ArticleEcological applications : a publication of the Ecological Society of America2021

Finding Liebig's law of the minimum.

Jinyun Tang, William J Riley

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Global constraint principle for microbial growth laws.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Nutrient colimitation is a quantitative, dynamic property of microbial populations.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Understanding stoichiometric constraints on growth using resource use efficiency imbalances.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. The space-for-time gambit fails a robust test.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Article
  15. Finding Liebig's law of the minimum.Ecological applications : a publication of the Ecological Society of America · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jinyun TangEarth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA.ORCID 0000-0002-4792-1259
William J RileyEarth and Environmental Sciences Area, Lawrence Berkeley National Laboratory, Berkeley, California, 94720, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liebig's law of the minimum (LLM) is often used to interpret empirical biological growth data and model multiple substrates co-limited growth. However, its mechanistic foundation is rarely discussed, even though its validity has been questioned since its introduction in the 1820s. Here we first show that LLM is a crude approximation of the law of mass action, the state of art theory of biochemical reactions, and the LLM model is less accurate than two other approximations of the law of mass action: the synthesizing unit model and the additive model. We corroborate this conclusion using empirical data sets of algae and plants grown under two co-limiting substrates. Based on our analysis, we show that when growth is modeled directly as a function of substrate uptake, the LLM model improperly restricts the organism to be of fixed elemental stoichiometry, making it incapable of consistently resolving biological adaptation, ecological evolution, and community assembly. When growth is modeled as a function of the cellular nutrient quota, the LLM model may obtain good results at the risk of incorrect model parameters as compared to those inferred from the more accurate synthesizing unit model. However, biogeochemical models that implement these three formulations are needed to evaluate which formulation is acceptably accurate and their impacts on predicted long-term ecosystem dynamics. In particular, studies are needed that explore the extent to which parameter calibration can rescue model performance when the mechanistic representation of a biogeochemical process is known to be deficient.

Indexed as

EcosystemModels, BiologicalPlant DevelopmentChlorophytaPlantsadditive modelbiogeochemical modelingbiological growthcomplementary substrateslaw of mass actionlaw of the minimumsynthesizing unit

Identifiers

PMID34529311
PMCPMC9285345

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.