Evidence map›Paper›PMID 28860645›Full record

ArticleScientific reports2017

Applications of unmanned aerial vehicles in intertidal reef monitoring.

Sarah L Murfitt, Blake M Allan, Alecia Bellgrove, Alex Rattray, Mary A Young, Daniel Ierodiaconou

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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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.

Sarah L MurfittDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia.
Blake M AllanDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia.
Alecia BellgroveDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia.
Alex RattrayDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia.
Mary A YoungDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia.
Daniel IerodiaconouDeakin University, School of Life and Environmental Sciences, Centre for Integrative Ecology, P.O. Box 423, Warrnambool, 3280, Victoria, Australia. iero@deakin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of intertidal reefs is traditionally undertaken by on-ground survey methods which have assisted in understanding these complex habitats; however, often only a small spatial footprint of the reef is observed. Recent developments in unmanned aerial vehicles (UAVs) provide new opportunities for monitoring broad scale coastal ecosystems through the ability to capture centimetre resolution imagery and topographic data not possible with conventional approaches. This study compares UAV remote sensing of intertidal reefs to traditional on-ground monitoring surveys, and investigates the role of UAV derived geomorphological variables in explaining observed intertidal algal and invertebrate assemblages. A multirotor UAV was used to capture <1 cm resolution data from intertidal reefs, with on-ground quadrat surveys of intertidal biotic data for comparison. UAV surveys provided reliable estimates of dominant canopy-forming algae, however, understorey species were obscured and often underestimated. UAV derived geomorphic variables showed elevation and distance to seaward reef edge explained 19.7% and 15.9% of the variation in algal and invertebrate assemblage structure respectively. The findings of this study demonstrate benefits of low-cost UAVs for intertidal monitoring through rapid data collection, full coverage census, identification of dominant canopy habitat and generation of geomorphic derivatives for explaining biological variation.

Identifiers

PMID28860645
PMCPMC5579233

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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.