Perspective proposes Systems Entomology, demonstrated with an alpine beetle interaction network

A worked network analysis presented in a conceptual perspective on entomology identified the alpine ground beetle Nebria germari and siliceous scree habitat as hubs in a simplified predator–prey–habitat network. When Austrian and Italian populations were analysed separately, springtails, or Collembola, connected geographically distinct subsystems. The example illustrates the authors’ proposal for “Systems Entomology,” a field that combines systems thinking with standardised and interoperable data to study interactions that may remain hidden when insects and their associates are considered in isolation.

The article is a perspective rather than a controlled experiment or systematic review. It argues that entomology should move beyond examining individual components toward analysing insects as participants in interconnected ecological systems. Its proposed approach integrates ecological, behavioural, population, molecular and biogeographical data to identify emergent properties—characteristics arising from relationships among components that may not be evident when the components are studied separately.

The proposal responds to an apparent disconnect in the field’s publication structure. A bibliometric analysis of 925 publication titles containing the words “insects” and “interaction” since 1938 found a richly interconnected co-citation network but a sparse and fragmented researcher collaboration network. The authors interpret this contrast as suggesting that insufficient data standardisation and sharing may impede collaboration and synthesis, although the bibliometric result does not itself establish that data practices caused the difference.

Examples cited by the authors show the types of relationships that a systems approach could address. The ground beetle Carterus calydonius preys on wild-carrot seeds to feed its larvae rather than for its own consumption, while those seeds depend on pollination by wild bees. This configuration creates an indirect association among the beetle, plant and pollinators and raises further questions about how many pollinators contribute to the beetle’s reproductive success and how uneaten seeds affect dispersal or soil conditions. These are questions arising from the interaction network rather than experimentally tested outcomes.

The authors also discuss N. germari, which is directly influenced by snow persistence and low temperature and may additionally be affected by cascading climate-change effects on its Collembola prey. They use this case to argue that the behaviour of an alpine system cannot be reduced to a single direct predator–prey relationship. Central to their proposal are data that are Findable, Accessible, Interoperable and Reusable—FAIR data. Darwin Core is identified as a fundamental standard for encoding entomological information, including taxonomy, occurrences, sampling protocols and interactions, while GBIF is presented as the preferred repository for publishing open datasets in interoperable formats.

For the worked example, the authors combined curated literature data for N. germari in Austria with unpublished field data from Italy. They standardised the records using the Darwin Core Archive star schema, in which a unique event identifier links a core event table to extension tables. Occurrence extensions recorded predator and prey abundance, while a resource-relationship table encoded the Relation Ontology relationship “preys on.” The resulting dataset was produced with the Integrated Publishing Toolkit and uploaded to GBIF. This was a limited construction using two geographic data sources, rather than a broad validation across insect taxa or ecosystems.

The analysis combined explicitly recorded relationships with links inferred from shared events, including co-occurrence patterns and predator–prey–habitat relationships, to construct a simplified network that the authors call an “entosystem.” Degree centrality was used to identify nodes with the largest number of links, and betweenness centrality was used to measure how often a node bridged two others along their shortest paths. In the combined network, N. germari and the siliceous scree ecosystem identified by NATURA2000 code 8110 emerged as hubs despite being an animal species and a habitat type. In the country-specific analyses, ecosystem hubs remained stable, whereas Collembola emerged as bridges.

The authors interpret the network structure as being associated with the breadth of the predator’s trophic niche and the diversity of ecological factors to which the predator and prey are adapted. They also treat the bridge role assigned to Collembola as support for a hypothesis about post-glacial recolonisation. The article describes N. germari as a long-distance re-immigrant that recolonised the European Alps from peripheral glacial refugia and notes an association between alpine Collembola and the periglacial melt zone. In the authors’ interpretation, the beetle’s range expansion may have combined its dispersal capacity with the retreat of preferred prey; this remains an interpretation of the network pattern and supporting ecological context, not direct evidence of the historical process.

Several limitations constrain the approach. Relevant information may be difficult or labour-intensive to extract from articles, and much data remains in unpublished sources, organisational repositories, citizen-science projects, supplementary materials or unstandardised datasets. The authors call for protocols that identify relevant publication content and the level of annotation required, as well as selection of the minimum sufficient set of Darwin Core terms and appropriate ontologies and vocabularies where free-text fields are used. Standardisation is intended to reduce interpretive uncertainty and facilitate aggregation, while researcher expertise remains necessary to verify that terms match the underlying records, especially when AI-assisted tools generate annotations. The authors identify expanding interaction datasets, AI-assisted mining of unrecorded relationships, network visualisation and interdisciplinary collaboration as future priorities.

Subject of Research: A conceptual framework and worked network analysis for integrating standardised entomological data to study insect interactions

Article Title: From Components to Complexity via data standardisation: A Call for 'Systems Entomology'

Article References: Pizzolotto, R. (2026). From Components to Complexity via data standardisation: A Call for 'Systems Entomology'. One Ecosystem, 11, Article e177766. https://doi.org/10.3897/oneeco.11.e177766

Image Credits: AI Generated

DOI: 10.3897/oneeco.11.e177766

Keywords: Systems Entomology, entomology, data standardisation, Darwin Core, GBIF, FAIR data, interaction networks, Nebria germari, Collembola, biodiversity informatics, Components, Complexity