LIFEPLAN: A worldwide biodiversity sampling design

As the technology for mass identification of species is advancing rapidly, we developed a field sampling method that takes advantage of the emerging possibilities of combining sensor-based data with automated high-throughput data processing. This article describes the five field sampling methods used by the LIFEPLAN project to collect biodiversity data in a systematic manner, all over the world. These methods are designed for use by anyone with basic biology or ecology knowledge from the higher education or university level. We present the selection and characteristics of international sampling locations for urban and natural sites, as well as the nested scale design in the Nordic countries and Madagascar. We describe the steps to collect sequences of animal images (.jpg) from infrared triggered camera traps, audio data (.WAV) of environment sounds from audio recorders, invertebrate samples in ethanol from Malaise traps for DNA metabarcoding, as well as both soil samples and 24-hour air samples obtained from cyclone samplers for fungal DNA metabarcoding. To ensure the usability and consistency of the data for future use, we pay particular attention to the metadata collected. In specifying the current sampling protocols, we note that technology will continue to improve and evolve. Hardware will also change within a short time period, with the advantage of improving the equipment used for collecting samples. Thus, we present examples of the samples collected by each current sampling method, to be used as a baseline or in comparison with different equipment models.

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Publication Details

Journal
PLoS ONE
Published
2024-12-31
DOI
https://doi.org/10.1371/journal.pone.0313353
Citations
9
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
4.13

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article

LIFEPLAN: A worldwide biodiversity sampling design

Eric Tsiriniaina Rajoelison, Petteri Lehikoinen, Otso Ovaskainen, Tomas V. Roslin et al.
9 citations
PLoS ONE
Environmental DNA in Biodiversity Studies
4.13
article

LIFEPLAN: A worldwide biodiversity sampling design

Eric Tsiriniaina Rajoelison, Petteri Lehikoinen, Otso Ovaskainen, Tomas V. Roslin, Brian Lee Fisher, Deirdre Kerdraon, Bess Hardwick, Tommi Mononen, Hanna M.K. Rogers, Gaia Giedrė Banelytė, Dimby Raharinjanahary, Arielle M Farrell
article en
9 citations

Abstract

As the technology for mass identification of species is advancing rapidly, we developed a field sampling method that takes advantage of the emerging possibilities of combining sensor-based data with automated high-throughput data processing. This article describes the five field sampling methods used by the LIFEPLAN project to collect biodiversity data in a systematic manner, all over the world. These methods are designed for use by anyone with basic biology or ecology knowledge from the higher education or university level. We present the selection and characteristics of international sampling locations for urban and natural sites, as well as the nested scale design in the Nordic countries and Madagascar. We describe the steps to collect sequences of animal images (.jpg) from infrared triggered camera traps, audio data (.WAV) of environment sounds from audio recorders, invertebrate samples in ethanol from Malaise traps for DNA metabarcoding, as well as both soil samples and 24-hour air samples obtained from cyclone samplers for fungal DNA metabarcoding. To ensure the usability and consistency of the data for future use, we pay particular attention to the metadata collected. In specifying the current sampling protocols, we note that technology will continue to improve and evolve. Hardware will also change within a short time period, with the advantage of improving the equipment used for collecting samples. Thus, we present examples of the samples collected by each current sampling method, to be used as a baseline or in comparison with different equipment models.

PLoS ONEVol. 19(12)
University of Helsinki (FI), California Academy of Sciences (US), Swedish University of Agricultural Sciences (SE), Madagascar Biodiversity Partnership (MG), Finnish Museum of Natural History (FI), University of Jyväskylä (FI)
H2020 European Research Council
Openalex Percentile: Top 6%
Environmental DNA in Biodiversity Studies
4.13
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