Monitoring tropical insects in the 21st century

Lamarre, Greg P. A.; Fayle, Tom M.; Segar, Simon T.; Laird‐Hopkins, Benita C.; Nakamura, Akihiro; Souto‐Vilarós, Daniel; Watanabe, S.; Basset, Yves

doi:10.1016/bs.aecr.2020.01.004

Cited by 19 publications

(24 citation statements)

References 169 publications

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“…This proportion is similar or higher to that for the soil/litter ant species amenable to similar statistical analysis (8%) when acquiring each year 50 Winkler samples sorted manually. Replacing Winkler samples by soil samples and adding Malaise trap samples would increase field work slightly (i.e., human labor to survey traps and handle samples) as compared to our current annual sampling scheme (Lamarre et al 2020). However, this would decrease the time related to specimen processing and identification considerably, not to mention the value added of obtaining metabarcoding data of non-target taxa for all three collecting methods.…”

Section: Discussionmentioning

confidence: 99%

“…Although some of these articles have attracted considerable attention in the media (often with dramatic epithets such as "Insect Armageddon"), they have also been criticized for lack of scientific rigor (Leather 2017;Didham et al 2020). What is clear is that we currently lack robust data to refute or support claims of global insect decline, particularly in the tropics (Basset and Lamarre 2019;Crossley et al 2020;van Klink et al 2020;Wagner 2020), not to mention scenarios of how insect populations will be affected by anthropogenic changes in the future (Lamarre et al 2020).…”

Section: Introductionmentioning

confidence: 99%

“…A rare effort to monitor arthropods in tropical rainforests in the long term is epitomized by the ForestGEO Arthropod Initiative in Panama (Lamarre et al 2020). Arthropod surveys are performed within permanent for-est dynamics plots monitored by the Forest Global Earth Observatories (ForestGEO; http://www.forestgeo.si.edu/; Anderson-Teixeira et al 2015).…”

Section: Introductionmentioning

confidence: 99%

“…Arthropod surveys are performed within permanent for-est dynamics plots monitored by the Forest Global Earth Observatories (ForestGEO; http://www.forestgeo.si.edu/; Anderson-Teixeira et al 2015). In Panama, the ForestGEO Arthropod Initiative has been monitoring several focal taxa on Barro Colorado Island (BCI) since 2009, including important soil taxa such as ants and termites, as well as some species whose larvae are developing in the soil (Lamarre et al 2020). A recent study on BCI compared 100 pairwise soil samples either sorted with traditional taxonomy or processed with metabarcoding, considering ants, termites and springtails extracted with Berlese-Tullgren (Bano and Roy 2016) as target taxa (Basset et al 2020, in prep.).…”

Section: Introductionmentioning

confidence: 99%

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Methodological considerations for monitoring soil/litter arthropods in tropical rainforests using DNA metabarcoding, with a special emphasis on ants, springtails and termites

Basset¹,

Hajibabaei²,

Wright³

et al. 2020

MBMG

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Robust data to refute or support claims of global insect decline are currently lacking, particularly for the soil fauna in the tropics. DNA metabarcoding represents a powerful approach for rigorous spatial and temporal monitoring of the taxonomically challenging soil fauna. Here, we provide a detailed field protocol, which was successfully applied in Barro Colorado Island (BCI) in Panama, to collect soil samples and arthropods in a tropical rainforest, to be later processed with metabarcoding. We also estimate the proportion of soil/litter ant, springtail and termite species from the local fauna that can be detected by metabarcoding samples obtained either from Berlese-Tullgren (soil samples), Malaise or light traps. Each collecting method detected a rather distinct fauna. Soil and Malaise trap samples detected 213 species (73%) of all target species. Malaise trap samples detected many ant species, whereas soil samples were more efficient at detecting springtail and termite species. With respect to long-term monitoring of soil-dwelling and common species (more amenable to statistical trends), the best combination of two methods were soil and light trap samples, detecting 94% of the total of common species. A protocol including 100 soil, 40 Malaise and 80 light trap samples annually processed by metabarcoding would allow the long-term monitoring of at least 11%, 18% and 16% of species of soil/litter ants, springtails and termites, respectively, present on BCI, and a high proportion of the total abundance (up to 80% of all individuals) represented by these taxa.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Methodological considerations for monitoring soil/litter arthropods in tropical rainforests using DNA metabarcoding, with a special emphasis on ants, springtails and termites

Basset¹,

Hajibabaei²,

Wright³

et al. 2020

MBMG

Self Cite

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“…Globally, many insect populations are in decline (Cardoso et al., 2020; Sánchez‐Bayo & Wyckhuys, 2019; Wagner, 2020), prompting increased public concern as well as calls for action from the scientific community (Lamarre et al., 2020; Samways, 2019). Yet these findings have also prompted much discussion about sampling methods and their relevance for the interpretation of results (Didham et al., 2020; Montgomery et al., 2020; Thomas et al., 2019).…”

Section: Introductionmentioning

confidence: 99%

Sampling beetle communities: Trap design interacts with weather and species traits to bias capture rates

Burner

Birkemoe

Olsen

et al. 2020

Ecology and Evolution

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Illuminating arthropod diversity in a tropical forest: Assessing biodiversity by automatic light trapping and DNA metabarcoding

Souto‐Vilarós,

Basset,

Blažek

et al. 2024

Environmental DNA

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Although studies of insect decline have recently dominated headlines worldwide, their interpretation requires caution since for most species, we lack long‐term population baselines. In the tropics, where most insect species thrive, our knowledge is even more limited and so reliable insect assessments must originate from well‐established long‐term monitoring efforts. Combining the extensive monitoring data from the Arthropod Program of the Smithsonian Tropical Research Institute (STRI) on Barro Colorado Island (BCI), Panama, we compare whether known arthropod diversity can be detected through metabarcoding of bulk insect samples obtained through automatic light‐trapping. Our study detected 4402 species based on Barcode Index Numbers (BIN) and detected fine‐scale differences between wet and dry seasons and sampling localities. We further refined our analysis to indicate which families and genera explained seasonal turnover. Using samples collected in parallel, but sorted manually as part of the ongoing arthropod monitoring program, we compared these methods. Out of 538 BINs recovered through manual sorting, there was a 70% overlap with the metabarcoding data; however, it represented 30% of the total BINs detected through metabarcoding. Expecting higher detection through metabarcoding, we also compare the results with the 14 years of sampling in BCI to better understand how well the monitoring program has captured the diversity of focal groups. Our results revealed a ~50% overlap between both methods and similar total catch. Barcode Index Numbers manually detected but not recovered by metabarcoding highlight some of the limitations of molecular detection methods such as primer bias. Contrastingly, BINs detected with metabarcoding, but not recovered by the traditional monitoring scheme, highlight the importance of local and regional barcode reference libraries.

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Monitoring tropical insects in the 21st century

Cited by 19 publications

References 169 publications

Methodological considerations for monitoring soil/litter arthropods in tropical rainforests using DNA metabarcoding, with a special emphasis on ants, springtails and termites

Methodological considerations for monitoring soil/litter arthropods in tropical rainforests using DNA metabarcoding, with a special emphasis on ants, springtails and termites

Sampling beetle communities: Trap design interacts with weather and species traits to bias capture rates

Illuminating arthropod diversity in a tropical forest: Assessing biodiversity by automatic light trapping and DNA metabarcoding

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