Evidence map›Paper›PMID 31691908›Full record

ArticleEcotoxicology (London, England)2020

Determining optimal sampling strategies for monitoring mercury and reproductive success in common loons in the Adirondacks of New York.

Yang Yang, Ruth D Yanai, Nina Schoch, Valerie L Buxton, Kara E Gonzales, David C Evers, Gregory G Lampman

Abstract read
PubMed Publisher
In one paragraph

Article in Ecotoxicology (London, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Yang YangDepartment of Forest and Natural Resources Management, State University of New York College of Environmental Science and Forestry, Syracuse, NY, 13210, USA. yangy48@gmail.com.ORCID http://orcid.org/0000-0002-2760-0992
Ruth D YanaiDepartment of Forest and Natural Resources Management, State University of New York College of Environmental Science and Forestry, Syracuse, NY, 13210, USA.
Nina SchochAdirondack Center for Loon Conservation, PO Box 195, Ray Brook, NY, 12977, USA.
Valerie L BuxtonAdirondack Center for Loon Conservation, PO Box 195, Ray Brook, NY, 12977, USA.
Kara E GonzalesCalifornia Department of Transportation, 111 Grand Ave, Caltrans, Oakland, CA, 94612, USA.
David C EversBiodiversity Research Institute, 276 Canco Rd., Portland, ME, 04103, USA.
Gregory G LampmanNew York State Energy Research and Development Authority, 17 Columbia Circle, Albany, NY, 12203, USA.

Funding

New York State Energy Research and Development Authority 113882
6 · The paper itself

Abstract

The common loon (Gavia immer), a top predator in the freshwater food web, has been recognized as an important bioindicator of aquatic mercury (Hg) pollution. Because capturing loons can be difficult, statistical approaches are needed to evaluate the efficiency of Hg monitoring. Using data from 1998 to 2016 collected in New York's Adirondack Park, we calculated the power to detect temporal changes in loon Hg concentrations and fledging success as a function of sampling intensity. There is a tradeoff between the number of lakes per year and the number of years needed to detect a particular rate of change. For example, a 5% year

Indexed as

Environmental MonitoringAnimalsBirdsEnvironmental ExposureFood ChainLakesMercuryMethylmercury CompoundsNew YorkReproductionWater Pollutants, ChemicalMercuryMethylmercury CompoundsWater Pollutants, ChemicalAdirondack ParkBioindicatorCommon loonFledging successLake acidityMercuryPower analysisSampling guidance

Identifiers

PMID31691908

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.