Have you ever wondered how many species were lost before we had the chance to discover them? In a paper now out in Conservation Biology, we estimated just that, for plant species in Singapore. This paper follows from the Chisholm Lab’s related work on Singapore birds and butterflies.
All over the world, many species remain undiscovered while both known and unknown species continue to go extinct. This is particularly true in the tropics, where biodiversity is high and development continues apace. Singapore provides an invaluable case study of tropical biodiversity loss. Since British colonialisation, most of Singapore’s forest cover has been replaced with urban landscape. However, it also has one of the best-documented floras in the world, both in terms of taxonomic and temporal coverage, with historical collections beginning only a few years after colonialisation.
We collated a high-quality database of Singapore plant collections, and we the “SEUX” model to estimate extinction rates and total numbers over time. The SEUX model is based on a fairly straightforward idea: if we assume that the per-year extinction rates were the same for discovered and undiscovered species, then we have a basis for working backwards in time to estimate the number undiscovered species and the proportion that went extinct. The technically challenging aspect was to turn this idea into a method for obtaining interval estimates.
We estimated that 30 — 38% of Singapore plant species have gone extinct since 1822. The central estimate using classical methods was 32% and that using Bayesian methods was 35%. Crucially, these numbers are much higher than the 22% extinction rate that one obtains from the naïve method of simply dividing the number of known extinctions by the total number of discovered species, demonstrating the importance of calculating extinction rates in a way that accounts for unknown species.
In addition to the 464 extinctions recorded in our database, we estimated that between 213–534 additional species (95% CI total range) went locally extinct. As we explain in the paper, these estimates should be treated as lower bounds. If undiscovered species are more likely to go extinct than discovered ones (likely), then both the total extinction rate and the number of undiscovered extinctions is in fact higher. The number of undiscovered extinctions will also be higher if many undiscovered species remain extant today (though the total extinction rate estimates are unaffected by this assumption).
The Singapore plant collection is a valuable resource: it is an unusually rich database, situated in a tropical biodiversity hot-spot, and temporally coinciding with extensive forest clearing and urbanisation. Our colleagues at Singapore Botanic Gardens did a lot of work compiling the database, including filtering for native species in wild localities, resolving taxonomic issues, and checking the correctness of records. The resulting database contains 34,224 specimens from 2,076 species and 174 families, from collections around the world. We hope that future researchers will find this dataset useful as a test-bed for their work.
Kristensen, N.P., Seah, W.W., Chong, K.Y., Yeoh, Y.S., Fung, T., Berman, L.M., Tan, H.Z., Chisholm, R.A. (2020) Extinction rate of discovered and undiscovered plants in Singapore, Conservation Biology
— the new paper
Theng, M., Jusoh, W.F.A., Jain, A., Huertas, B., Tan, D.J.X., Tan, H.Z., Kristensen, N.P., Meier, R., Chisholm, R.A. (2020) A comprehensive assessment of diversity loss in a well-documented tropical insect fauna: Almost half of Singapore’s butterfly species extirpated in 160 years, Biological Conservation, 242
— the SEUX model applied to butterflies in Singapore
Chisholm, R. A., Giam, X., Sadanandan, K. R., Fung, T., & Rheindt, F. E. (2016) A robust nonparametric method for quantifying undetected extinctions. Conservation Biology, 30(3), 610-617.
— the paper introducing the SEUX model
Kristensen, N.P. SEUX for R on Github
— a repository of an R package (including tutorials) so you can apply the SEUX model to your own data
Previous blog post
— a 5 minute tutorial to get started using the SEUX package