Evidence map›Paper›PMID 35092102›Full record

ArticleMolecular ecology2022

Evaluating restoration trajectories using DNA metabarcoding of ground-dwelling and airborne invertebrates and associated plant communities.

Mieke van der Heyde, Michael Bunce, Kingsley W Dixon, Kristen Fernandes, Jonathan Majer, Grant Wardell-Johnson, Nicole E White, Paul Nevill

Abstract read
In one paragraph

Article in Molecular ecology, 2022. 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
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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

8 authors.

Mieke van der HeydeARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-1658-9927
Michael BunceTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0002-0302-4206
Kingsley W DixonARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.
Kristen FernandesTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences, Curtin University, Perth, Western Australia, Australia.
Jonathan MajerARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.
Grant Wardell-JohnsonARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.
Nicole E WhiteTrace and Environmental DNA Laboratory, School of Life and Molecular Sciences, Curtin University, Perth, Western Australia, Australia.
Paul NevillARC Centre for Mine Site Restoration, School of Molecular and Life Sciences, Curtin University, Perth, Western Australia, Australia.ORCID 0000-0001-8238-0534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invertebrates are important for restoration processes as they are key drivers of many landscape-scale ecosystem functions; including pollination, nutrient cycling and soil formation. However, invertebrates are often overlooked in restoration monitoring because they are highly diverse, poorly described, and time-consuming to survey, and require increasingly scarce taxonomic expertise to enable identification. DNA metabarcoding is a relatively new tool for rapid survey that is able to address some of these concerns, and provide information about the taxa with which invertebrates are interacting via food webs and habitat. Here, we evaluate how invertebrate communities may be used to determine ecosystem trajectories during restoration. We collected ground-dwelling and airborne invertebrates across chronosequences of mine-site restoration in three ecologically disparate locations in Western Australia and identified invertebrate and plant communities using DNA metabarcoding. Ground-dwelling invertebrates showed the clearest restoration signals, with communities becoming more similar to reference communities over time. These patterns were weaker in airborne invertebrates, which have higher dispersal abilities and therefore less local fidelity to environmental conditions. Although we detected directional changes in community composition indicative of invertebrate recovery, patterns observed were inconsistent between study locations. The inclusion of plant assays allowed identification of plant species, as well as potential food sources and habitat. We demonstrate that DNA metabarcoding of invertebrate communities can be used to evaluate restoration trajectories. Testing and incorporating new monitoring techniques such as DNA metabarcoding is critical to improving restoration outcomes.

Indexed as

DNA Barcoding, TaxonomicEcosystemAnimalsBiodiversityDNAInvertebratesPlantsDNADNA metabarcodingenvironmental DNAInvertebratesmonitoringrestorationtrajectory

Identifiers

PMID35092102
PMCPMC9304231

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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.