Benchmarking Taxonomic and Genetic Diversity After the Fact: Lessons Learned From the Catastrophic 2019–2020 Australian Bushfires

Renee A Catullo,Craig C Moritz,Mark D B Eldridge,Leo Joseph,Rhiannon Schembri,Leonardo Gonçalves Tedeschi

doi:10.3389/fevo.2021.645820

Abstract

Environmental catastrophes are increasing in frequency and severity under climate change, and they substantially impact biodiversity. Recovery actions after catastrophes depend on prior benchmarking of biodiversity and that in turn minimally requires critical assessment of taxonomy and species-level diversity. Long-term recovery of species also requires an understanding of within-species diversity. Australia’s 2019–2020 bushfires were unprecedented in their extent and severity and impacted large portions of habitats that are not adapted to fire. Assessments of the fires’ impacts on vertebrates identified 114 species that were a high priority for management. In response, we compiled explicit information on taxonomic diversity and genetic diversity within fire-impacted vertebrates to provide to government agencies undertaking rapid conservation assessments. Here we discuss what we learned from our effort to benchmark pre-fire taxonomic and genetic diversity after the event. We identified a significant number of candidate species (genetic units that may be undescribed species), particularly in frogs and mammals. Reptiles and mammals also had high levels of intraspecific genetic structure relevant to conservation management. The first challenge was making published genetic data fit for purpose because original publications often focussed on a different question and did not provide raw sequence read data. Gaining access to analytical files and compiling appropriate individual metadata was also time-consuming. For many species, significant unpublished data was held by researchers. Identifying which data existed was challenging. For both published and unpublished data, substantial sampling gaps prevented areas of a species’ distribution being assigned to a conservation unit. Summarising sampling gaps across species revealed that many areas were poorly sampled across taxonomic groups. To resolve these issues and prepare responses to future catastrophes, we recommend that researchers embrace open data principles including providing detailed metadata. Governments need to invest in a skilled taxonomic workforce to document and describe biodiversity before an event and to assess its impacts afterward. Natural history collections should also target increasing their DNA collections based on sampling gaps and revise their collection strategies to increasingly take population-scale DNA samples in order to document within-species genetic diversity.

Highlights

Environmental catastrophes are becoming more common and intense due to climatic changes, such as increases in the number of days of extreme fire weather and increases in intense rainfall events
In most cases, georeferenced data on individuals is available, but often in a form that requires manual extraction from publications, and analytical outputs such as phylogenetic tree files are not available online. Another significant challenge to this genetic benchmarking exercise was the high proportion of unpublished data that informs assessments of both taxonomic and intraspecific genetic diversity (Figure 2)
The exercise of attempting to benchmark taxonomic and genetic diversity highlighted a number of important challenges to the effective and robust use of genetic diversity indicators (Hoban et al, 2020)

Summary

INTRODUCTION

Environmental catastrophes are becoming more common and intense due to climatic changes, such as increases in the number of days of extreme fire weather and increases in intense rainfall events. Mountain stream endemic frogs from the genus Philoria were ranked as a high priority due to a likely high fire impact (pre-fire conservation status of endangered, high level of fire overlap with the species’ range, and potentially high mortality during and after fires) and low rate of recovery (long life spans, and low number of eggs per clutch) From this exercise, 114 species of vertebrate were rated as a high priority for urgent management intervention (Legge et al, 2020). In most cases, georeferenced data on individuals is available, but often in a form that requires manual extraction from publications, and analytical outputs such as phylogenetic tree files are not available online Another significant challenge to this genetic benchmarking exercise was the high proportion of unpublished data that informs assessments of both taxonomic and intraspecific genetic diversity (Figure 2). Through this approach we are able to both identify priority areas for future collections, and identify the priority species for collection in each area

DISCUSSION

Findings

DATA AVAILABILITY STATEMENT