Evidence map›Paper›PMID 34219822›Full record

ArticleWater resources research2021

Shifting Patterns of Summer Lake Color Phenology in Over 26,000 US Lakes.

Simon N Topp, Tamlin M Pavelsky, Hilary A Dugan, Xiao Yang, John Gardner, Matthew R V Ross

Abstract read
In one paragraph

Article in Water resources research, 2021. 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
–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

8 citing papers in PubMed.

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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

6 authors.

Simon N ToppDepartment of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0001-7741-5982
Tamlin M PavelskyDepartment of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0002-0613-3838
Hilary A DuganCenter for Limnology University of Wisconsin-Madison Madison WI USA.ORCID https://orcid.org/0000-0003-4674-1149
Xiao YangDepartment of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0002-0046-832X
John GardnerDepartment of Geological Sciences University of North Carolina at Chapel Hill Chapel Hill NC USA.ORCID https://orcid.org/0000-0002-1454-5074
Matthew R V RossDepartment of Ecosystem Science and Sustainability Colorado State University Fort Collins CO USA.ORCID https://orcid.org/0000-0001-9105-4255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lakes are often defined by seasonal cycles. The seasonal timing, or phenology, of many lake processes are changing in response to human activities. However, long-term records exist for few lakes, and extrapolating patterns observed in these lakes to entire landscapes is exceedingly difficult using the limited number of available in situ observations. Limited landscape-level observations mean we do not know how common shifts in lake phenology are at macroscales. Here, we use a new remote sensing data set, LimnoSat-US, to analyze U.S. summer lake color phenology between 1984 and 2020 across more than 26,000 lakes. Our results show that summer lake color seasonality can be generalized into five distinct phenology groups that follow well-known patterns of phytoplankton succession. The frequency with which lakes transition from one phenology group to another is tied to lake and landscape level characteristics. Lakes with high inflows and low variation in their seasonal surface area are generally more stable, while lakes in areas with high interannual variations in climate and catchment population density show less stability. Our results reveal previously unexamined spatiotemporal patterns in lake seasonality and demonstrate the utility of LimnoSat-US, which, with over 22 million remote sensing observations of lakes, creates novel opportunities to examine changing lake ecosystems at a national scale.

Indexed as

big dataecologylakeslimnologyphenologyremote Sensing

Identifiers

PMID34219822
PMCPMC8244058

What OpenQuestion holds

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LicenceCC BY-NC
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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.