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Abstract Current understanding of ecological and evolutionary processes underlying island biodiversity is heavily shaped by empirical data from plants and birds, although arthropods comprise the overwhelming majority of known animal species, and as such can provide key insights into processes governing biodiversity. Novel high throughput sequencing (HTS) approaches are now emerging as powerful tools to overcome limitations in the availability of arthropod biodiversity data, and hence provide insights into these processes. Here, we explored how these tools might be most effectively exploited for comprehensive and comparable inventory and monitoring of insular arthropod biodiversity. We first reviewed the strengths, limitations and potential synergies among existing approaches of high throughput barcode sequencing. We considered how this could be complemented with deep learning approaches applied to image analysis to study arthropod biodiversity. We then explored how these approaches could be implemented within the framework of an island Genomic Observatories Network (iGON) for the advancement of fundamental and applied understanding of island biodiversity. To this end, we identified seven island biology themes at the interface of ecology, evolution and conservation biology, within which collective and harmonized efforts in HTS arthropod inventory could yield significant advances in island biodiversity research. 

Abstract. All organisms are ultimately dependent on a large diversity of consumptiveand non-consumptive interactions established with other organisms, formingan intricate web of interdependencies. In 1992, when 1700 concernedscientists issued the first “World Scientists' Warning to Humanity”, ourunderstanding of such interaction networks was still in its infancy. Bysimultaneously considering the species (nodes) and the links that glue themtogether into functional communities, the study of modern food webs – ormore generally ecological networks – has brought us closer to a predictivecommunity ecology. Scientists have now observed, manipulated, and modelledthe assembly and the collapse of food webs under various global changestressors and identified common patterns. Most stressors, such as increasingtemperature, biological invasions, biodiversity loss, habitat fragmentation,over-exploitation, have been shown to simplify food webs byconcentrating energy flow along fewer pathways, threatening long-termcommunity persistence. More worryingly, it has been shown that communitiescan abruptly change from highly diverse to simplified stable states withlittle or no warning. Altogether, evidence shows that apart from thechallenge of tackling climate change and hampering the extinction ofthreatened species, we need urgent action to tackle large-scale biologicalchange and specifically to protect food webs, as we are under the risk of pushingentire ecosystems outside their safe zones. At the same time, we need togain a better understanding of the global-scale synergies and trade-offsbetween climate change and biological change. Here we highlight the mostpressing challenges for the conservation of natural food webs and recentadvances that might help us addressing such challenges.