Towards holistic insect monitoring: species discovery, description, identification and traits for all insects

"Dark taxonomy": A new protocol for overcoming the taxonomic impediments for dark taxa and broadening the taxon base for biodiversity assessment

We are entering the sixth mass extinction with little data for "dark taxa", although they comprise most species. Much of the neglect is due to the fact that conventional taxonomic methods struggle with handling thousands of specimens belonging to hundreds of species. We thus here propose a new strategy that we call "dark taxonomy". It addresses (i) taxonomic impediments, (ii) the lack of biodiversity baselines and (iii) the low impact of revisionary research. Taxonomic impediments are reduced by carrying out revisions at small geographic scales to keep the number of specimens low. The risk of taxonomic error is reduced by delimiting species based on two types of data. We furthermore show that dark taxonomy can yield important biodiversity baseline data by using samples obtained with biomonitoring traps. Lastly, we argue that the impact of revisionary research can be improved by publishing two papers addressing different readerships. The principles of dark taxonomy are illustrated by our taxonomic treatment of Singapore's fungus gnats (Mycetophilidae) based only on Malaise trap samples. We show that a first batch of specimens (N = 1454) contains 120 species, of which 115 are new to science, thus reducing taxonomic impediments by increasing the number of described Oriental species by 25%. Species delimitation started with using DNA barcodes to estimate the number of Molecular Operational Taxonomic Units (MOTUs) before "LIT" (Large-scale Integrative Taxonomy) was used to obtain the species boundaries for the 120 species by integrating morphological and molecular data. To test the taxonomic completeness of the revision, we next analysed a second batch of 1493 specimens and found that >97% belonged to the 120 species delimited based on the first batch. Indeed, the second batch only contained 18 new and rare MOTUs, i.e. our study suggests that a single revision can simultaneously yield the names for all important species and relevant biodiversity baseline data. Overall, we believe that "dark taxonomy" can quickly ready a large unknown taxon for biomonitoring.

DNA barcoding, integrative taxonomy, citizen science, and Bush Blitz surveys combine to reveal 34 new species of Apanteles (Hymenoptera, Braconidae, Microgastrinae) in Australia

Microgastrinae is a megadiverse subfamily of wasps in the family Braconidae. As parasitoids of caterpillars, members of the subfamily play important roles in regulating native caterpillar populations, and several species are used commercially as biological control agents. The genus Apanteles comprises a large portion of total microgastrine diversity, however it has not been studied in Australia for more than 30 years, with only nine described species previously known from the continent. We explore the diversity and systematics of Apanteles in Australia, using cytochrome c oxidase subunit I (COI) and Wingless (wg) DNA barcodes from more than 400 Australian Apanteles specimens. Using molecular species delimitation in combination with reduced morphological diagnoses, at least 48 distinct molecular lineages of Apanteles are confirmed in Australia, and 34 new species are formally described, all authored by Slater-Baker, Fagan-Jeffries, Fernández-Triana, Portmann & Oestmann: A.adustus, A.aeternus, A.alatomicans, A.allapsus, A.amicalis, A.apollo, A.apricus, A.artemis, A.aurantius, A.auroralis, A.banrock, A.breviflagellarius, A.brockhedgesi, A.cuprum, A.darthvaderi, A.doreenwatlerae, A.ethanbeaveri, A.fenestrinus, A.ferripulvis, A.focusalis, A.hades, A.insulanus, A.kelpiellus, A.lamingtonensis, A.ligdus, A.magicus, A.margaritarius, A.pellucidus, A.phantasmatus, A.pharusalis, A.ramsaris, A.rufiterra, A.sinusulus, and A.translucentis.

Sharing insect data through GBIF: novel monitoring methods, opportunities and standards

Technological advancements in biological monitoring have facilitated the study of insect communities at unprecedented spatial scales. The progress allows more comprehensive coverage of the diversity within a given area while minimizing disturbance and reducing the need for extensive human labour. Compared with traditional methods, these novel technologies offer the opportunity to examine biological patterns that were previously beyond our reach. However, to address the pressing scientific inquiries of the future, data must be easily accessible, interoperable and reusable for the global research community. Biodiversity information standards and platforms provide the necessary infrastructure to standardize and share biodiversity data. This paper explores the possibilities and prerequisites of publishing insect data obtained through novel monitoring methods through GBIF, the most comprehensive global biodiversity data infrastructure. We describe the essential components of metadata standards and existing data standards for occurrence data on insects, including data extensions. By addressing the current opportunities, limitations, and future development of GBIF's publishing framework, we hope to encourage researchers to both share data and contribute to the further development of biodiversity data standards and publishing models. Wider commitments to open data initiatives will promote data interoperability and support cross-disciplinary scientific research and key policy indicators. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.

Towards a toolkit for global insect biodiversity monitoring

Insects are the most diverse group of animals on Earth, yet our knowledge of their diversity, ecology and population trends remains abysmally poor. Four major technological approaches are coming to fruition for use in insect monitoring and ecological research-molecular methods, computer vision, autonomous acoustic monitoring and radar-based remote sensing-each of which has seen major advances over the past years. Together, they have the potential to revolutionize insect ecology, and to make all-taxa, fine-grained insect monitoring feasible across the globe. So far, advances within and among technologies have largely taken place in isolation, and parallel efforts among projects have led to redundancy and a methodological sprawl; yet, given the commonalities in their goals and approaches, increased collaboration among projects and integration across technologies could provide unprecedented improvements in taxonomic and spatio-temporal resolution and coverage. This theme issue showcases recent developments and state-of-the-art applications of these technologies, and outlines the way forward regarding data processing, cost-effectiveness, meaningful trend analysis, technological integration and open data requirements. Together, these papers set the stage for the future of automated insect monitoring. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.