Evidence map›Paper›PMID 32075534›Full record

ArticleProceedings. Biological sciences2020

Three-dimensional digital mapping of ecosystems: a new era in spatial ecology.

Tim D'Urban Jackson, Gareth J Williams, Guy Walker-Springett, Andrew J Davies

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2020. 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. 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

4 authors.

Tim D'Urban JacksonSchool of Ocean Sciences, Bangor University, Anglesey LL59 5AB, UK.
Gareth J WilliamsSchool of Ocean Sciences, Bangor University, Anglesey LL59 5AB, UK.
Guy Walker-SpringettSchool of Ocean Sciences, Bangor University, Anglesey LL59 5AB, UK.
Andrew J DaviesSchool of Ocean Sciences, Bangor University, Anglesey LL59 5AB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecological processes occur over multiple spatial, temporal and thematic scales in three-dimensional (3D) ecosystems. Characterizing and monitoring change in 3D structure at multiple scales is challenging within the practical constraints of conventional ecological tools. Remote sensing from satellites and crewed aircraft has revolutionized broad-scale spatial ecology, but fine-scale patterns and processes operating at sub-metre resolution have remained understudied over continuous extents. We introduce two high-resolution remote sensing tools for rapid and accurate 3D mapping in ecology-terrestrial laser scanning and structure-from-motion photogrammetry. These technologies are likely to become standard sampling tools for mapping and monitoring 3D ecosystem structure across currently under-sampled scales. We present practical guidance in the use of the tools and address barriers to widespread adoption, including testing the accuracy of structure-from-motion models for ecologists. We aim to highlight a new era in spatial ecology that uses high-resolution remote sensing to interrogate 3D digital ecosystems.

Indexed as

EcologyEcosystemEnvironmental MonitoringRemote Sensing Technology3D mappingdigital ecologyecosystem scienceremote sensingstructure-from-motion photogrammetryterrestrial laser scanning

Identifiers

PMID32075534
PMCPMC7031661

What OpenQuestion holds

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LicenceCC BY
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.