Evidence map›Paper›PMID 32461704›Full record

ArticleLimnology and oceanography2020

Rethinking phosphorus-chlorophyll relationships in lakes.

Lester L Yuan, John R Jones

Open access · greenAbstract read
In one paragraph

Article in Limnology and oceanography, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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

8 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Drivers and spatial structure of abiotic and biotic properties of lakes, wetlands, and streams at the national scale.Ecological applications : a publication of the Ecological Society of America · 2019
    Article
  8. Progress and challenges in coupled hydrodynamic-ecological estuarine modeling.Estuaries and coasts : journal of the Estuarine Research Federation · 2016
    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 at 2 institutions in 3 countries.

Lester L YuanOffice of Water, U.S. Environmental Protection Agency, 1200 Pennsylvania Ave, NW, Mail code 4304T, Washington, DC 20460.
John R JonesSchool of Natural Resources, University of Missouri, Columbia, Columbia, MO 65211.
Environmental Protection Agency · USUniversity of Missouri · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

The empirical relationship between total phosphorus and chlorophyll has guided lake management decisions for decades, but imprecision in this relationship in individual lakes limits the utility of these models. Many environmental factors that potentially affect the total phosphorus-chlorophyll relationship have been studied, but here we hypothesize that imprecision can be reduced by considering differences in the proportions of phosphorus bound to three different "compartments" in the water column: phosphorus bound in phytoplankton, phosphorus bound to suspended sediment that is not associated with phytoplankton, and dissolved phosphorus. We specify a hierarchical Bayesian network model that estimates phosphorus associated with each compartment using field measurements of chlorophyll, total suspended solids, and total phosphorus collected from reservoirs in Missouri, USA. We then demonstrate that accounting for these different compartments yields accurate predictions of total phosphorus in individual lakes. Results from this model also yield insights into the mechanisms by which lake morphometric and watershed characteristics affect observed relationships between total phosphorus and chlorophyll.

Indexed as

Bayesian statisticschlorophylleutrophicationphosphorussuspended sediment

Identifiers

PMID32461704
PMCPMC7252496
OpenAlexW3011103544

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.