Towards global insect biomonitoring with frugal methods
Brydegaard, Mikkel LU ; Pedales, Ronniel D. ; Feng, Vivian ; Yamoa, Assoumou Saint Doria ; Kouakou, Benoit ; Månefjord, Hampus LU
; Wührl, Lorenz
; Pylatiuk, Christian
; Amorim, Dalton De Souza
and Meier, Rudolf
(2024)
In Philosophical Transactions of the Royal Society B: Biological Sciences
379(1904).
- Abstract
None of the global targets for protecting nature are currently met, although humanity is critically dependent on biodiversity. A significant issue is the lack of data for most biodiverse regions of the planet where the use of frugal methods for biomonitoring would be particularly important because the available funding for monitoring is insufficient, especially in low-income countries. We here discuss how three approaches to insect biomonitoring (computer vision, lidar, DNA sequences) could be made more frugal and urge that all biomonitoring techniques should be evaluated for global suitability before becoming the default in high-income countries. This requires that techniques popular in high-income countries should undergo a phase of... (More)
None of the global targets for protecting nature are currently met, although humanity is critically dependent on biodiversity. A significant issue is the lack of data for most biodiverse regions of the planet where the use of frugal methods for biomonitoring would be particularly important because the available funding for monitoring is insufficient, especially in low-income countries. We here discuss how three approaches to insect biomonitoring (computer vision, lidar, DNA sequences) could be made more frugal and urge that all biomonitoring techniques should be evaluated for global suitability before becoming the default in high-income countries. This requires that techniques popular in high-income countries should undergo a phase of 'innovation through simplification' before they are implemented more broadly. We predict that techniques that acquire raw data at low cost and are suitable for analysis with AI (e.g. images, lidar-signals) will be particularly suitable for global biomonitoring, while techniques that rely heavily on patented technologies may be less promising (e.g. DNA sequences). We conclude the opinion piece by pointing out that the widespread use of AI for data analysis will require a global strategy for providing the necessary computational resources and training. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.
(Less)
- author
- Brydegaard, Mikkel
LU
; Pedales, Ronniel D.
; Feng, Vivian
; Yamoa, Assoumou Saint Doria
; Kouakou, Benoit
; Månefjord, Hampus
LU
; Wührl, Lorenz
; Pylatiuk, Christian
; Amorim, Dalton De Souza
and Meier, Rudolf
- organization
- publishing date
- 2024-06
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- frugal science, insect biomonitoring, photonics
- in
- Philosophical Transactions of the Royal Society B: Biological Sciences
- volume
- 379
- issue
- 1904
- article number
- 20230103
- publisher
- Royal Society Publishing
- external identifiers
-
- scopus:85192298996
- pmid:38705174
- ISSN
- 0962-8436
- DOI
- 10.1098/rstb.2023.0103
- language
- English
- LU publication?
- yes
- id
- f7765de9-3a82-42b9-9880-5ecef92a7a09
- date added to LUP
- 2024-12-20 10:43:12
- date last changed
- 2025-07-19 03:54:29
@article{f7765de9-3a82-42b9-9880-5ecef92a7a09,
abstract = {{<p>None of the global targets for protecting nature are currently met, although humanity is critically dependent on biodiversity. A significant issue is the lack of data for most biodiverse regions of the planet where the use of frugal methods for biomonitoring would be particularly important because the available funding for monitoring is insufficient, especially in low-income countries. We here discuss how three approaches to insect biomonitoring (computer vision, lidar, DNA sequences) could be made more frugal and urge that all biomonitoring techniques should be evaluated for global suitability before becoming the default in high-income countries. This requires that techniques popular in high-income countries should undergo a phase of 'innovation through simplification' before they are implemented more broadly. We predict that techniques that acquire raw data at low cost and are suitable for analysis with AI (e.g. images, lidar-signals) will be particularly suitable for global biomonitoring, while techniques that rely heavily on patented technologies may be less promising (e.g. DNA sequences). We conclude the opinion piece by pointing out that the widespread use of AI for data analysis will require a global strategy for providing the necessary computational resources and training. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.</p>}},
author = {{Brydegaard, Mikkel and Pedales, Ronniel D. and Feng, Vivian and Yamoa, Assoumou Saint Doria and Kouakou, Benoit and Månefjord, Hampus and Wührl, Lorenz and Pylatiuk, Christian and Amorim, Dalton De Souza and Meier, Rudolf}},
issn = {{0962-8436}},
keywords = {{frugal science; insect biomonitoring; photonics}},
language = {{eng}},
number = {{1904}},
publisher = {{Royal Society Publishing}},
series = {{Philosophical Transactions of the Royal Society B: Biological Sciences}},
title = {{Towards global insect biomonitoring with frugal methods}},
url = {{http://dx.doi.org/10.1098/rstb.2023.0103}},
doi = {{10.1098/rstb.2023.0103}},
volume = {{379}},
year = {{2024}},
}