Evidence map›Paper›PMID 32997717›Full record

ArticlePloS one2020

Analytical volume model for optimized spatial radar bat detection in onshore wind parks.

Jannes Kreutzfeldt, Carolin Floeter, Thies Lingner, Lukas Schmitz-Beuting, Michael Reich, Veit Dominik Kunz

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jannes KreutzfeldtDepartment of Environmental Technology, Faculty of Life Sciences, University of Applied Sciences Hamburg, Hamburg, Germany.ORCID 0000-0002-4283-5706
Carolin FloeterDepartment of Environmental Technology, Faculty of Life Sciences, University of Applied Sciences Hamburg, Hamburg, Germany.
Thies LingnerDepartment of Environmental Technology, Faculty of Life Sciences, University of Applied Sciences Hamburg, Hamburg, Germany.
Lukas Schmitz-BeutingDepartment of Environmental Technology, Faculty of Life Sciences, University of Applied Sciences Hamburg, Hamburg, Germany.
Michael ReichInstitute of Environmental Planning, Leibniz University Hannover, Hannover, Germany.
Veit Dominik KunzDepartment of Process Engineering, Faculty of Life Sciences, University of Applied Sciences Hamburg, Hamburg, Germany.
HAW Hamburg · DELeibniz University Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop mitigation measures for the protection of bats in close proximity to onshore wind turbines, new detection techniques covering large-scale environments and techniques, which are able to track individuals are required. Radar based observations, successfully applied in ornithological studies, offer a promising potential, but come with challenges regarding the comparability of measurements and noise interference (ground clutter) from objects within detection range. This paper presents improvements of a commercially available inexpensive pulse radar for 3D spatial detection of bat-sized objects in onshore wind parks. A new analytical spatial detection volume model is presented incorporating calibrated radar data and landscape parameters such as clutter. Computer simulation programs to process the analytical spatial detection volume model were developed. For model calibration, the minimum signal power of the radar was experimentally determined with the radar cross section (RCS) of an artificial bat (similar to Nyctalus noctula), resulting in a maximum detection range of 800 m and a corresponding RCS of 12.7 cm². Additionally, the spatial volume for radar detection was optimized with a clutter shielding fence (CSF). Adjusting the volume model by incorporating a theoretical model of the CSF, an extension of the detection volume by a factor of 2.5 was achieved, while the total volume of a 105° horizontal angular radar image section yields 0.0105 km³. Extrapolation and comparison with state-of-the-art acoustic bat detection result in a 270 times larger volume, confirming the large-scale detection capabilities of the pulse radar.

Indexed as

Models, TheoreticalAlgorithmsAnimalsBehavior, AnimalChiropteraComputer SimulationRadarSpatial Analysis

Identifiers

PMID32997717
PMCPMC7526923
OpenAlexW3090177928

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.