Evidence map›Paper›PMID 34707821›Full record

ArticleEcology and evolution2021

Depth diversity gradients of macrophytes: Shape, drivers, and recent shifts.

Anne Lewerentz, Markus Hoffmann, Juliano Sarmento Cabral

Abstract read
In one paragraph

Article in Ecology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Anne LewerentzEcosystem Modelling Center for Computational and Theoretical Ecology (CCTB) University of Würzburg Würzburg Germany.ORCID https://orcid.org/0000-0002-8194-2686
Markus HoffmannLimnological Station Chair of Aquatic Systems Biology Technical University of Munich Munich Germany.ORCID https://orcid.org/0000-0003-2470-1824
Juliano Sarmento CabralEcosystem Modelling Center for Computational and Theoretical Ecology (CCTB) University of Würzburg Würzburg Germany.ORCID https://orcid.org/0000-0002-0116-220X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigating diversity gradients helps to understand biodiversity drivers and threats. However, one diversity gradient is rarely assessed, namely how plant species distribute along the depth gradient of lakes. Here, we provide the first comprehensive characterization of depth diversity gradient (DDG) of alpha, beta, and gamma species richness of submerged macrophytes across multiple lakes. We characterize the DDG for additive richness components (alpha, beta, gamma), assess environmental drivers, and address temporal change over recent years. We take advantage of yet the largest dataset of macrophyte occurrence along lake depth (274 depth transects across 28 deep lakes) as well as of physiochemical measurements (12 deep lakes from 2006 to 2017 across Bavaria), provided publicly online by the Bavarian State Office for the Environment. We found a high variability in DDG shapes across the study lakes. The DDGs for alpha and gamma richness are predominantly hump-shaped, while beta richness shows a decreasing DDG. Generalized additive mixed-effect models indicate that the depth of the maximum richness (

Indexed as

aquatic plantsbiodiversity gradientsbiodiversity hypothesesdeep lakesGermanyWater Framework Directive

Identifiers

PMID34707821
PMCPMC8525089

What OpenQuestion holds

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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.