Evidence map›Paper›PMID 37915437›Full record

ArticleApplications in plant sciences

Using photogrammetry to create virtual permanent plots in rare and threatened plant communities.

Andrea J Tirrell, Aaron E Putnam, Michael I J Cianchette, Jacquelyn L Gill

Abstract read
In one paragraph

Article in Applications in plant sciences. 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

4 authors.

Andrea J TirrellSchool of Biology and Ecology University of Maine Orono Maine 04469 USA.ORCID 0000-0003-1668-9941
Aaron E PutnamClimate Change Institute University of Maine Orono Maine 04469 USA.ORCID 0000-0002-5358-1473
Michael I J CianchetteSchool of Biology and Ecology University of Maine Orono Maine 04469 USA.ORCID 0009-0006-2226-3567
Jacquelyn L GillSchool of Biology and Ecology University of Maine Orono Maine 04469 USA.ORCID 0000-0003-0003-6620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Many plant communities across the world are undergoing changes due to climate change, human disturbance, and other threats. These community-level changes are often tracked with the use of permanent vegetative plots, but this approach is not always feasible. As an alternative, we propose using photogrammetry, specifically photograph-based digital surface models (DSMs) developed using structure-from-motion, to establish virtual permanent plots in plant communities where the use of permanent structures may not be possible. Methods: In 2021 and 2022, we took iPhone photographs to record species presence in 1-m Results: Digital surface models can provide effective, minimally invasive, and permanent records of plant species presence and percent coverage, while also allowing managers to mark survey locations virtually for long-term monitoring. We found that percent coverage estimated from DSMs did not differ from field estimates for most species and substrates. Discussion: In order to continue surveying efforts in areas where permanent structures or other surveying methods are not feasible, photogrammetry and structure-from-motion methods can provide a low-cost approach that allows agencies to accurately survey and record sensitive plant communities through time.

Indexed as

alpine plant communitiesdigital surface model (DSM)long‐term monitoringphotogrammetryplant conservationrare plant communities

Identifiers

PMID37915437
PMCPMC10617319

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.