posted on 2024-03-27, 03:16authored byYuanheng Li, Christian Devenish, Marie I. Tosa, Mingjie Luo, David M. Bell, Damon B. Lesmeister, Paul Greenfield, Maximilian Pichler, Taal Levi, Douglas W. Yu
Arthropods contribute importantly to ecosystem functioning but remain understudied. This undermines the validity of conservation decisions. Modern methods are now making arthropods easier to study, since arthropods can be mass-trapped, mass-identified, and semi-mass-quantified into ‘many-row (observation), many-column (species)‘ datasets, with homogeneous error, high resolution and copious environmental-covariate information. These ‘novel community datasets’ let us efficiently generate information on arthropod species distributions, conservation values, uncertainty, and the magnitude and direction of human impacts. We use a DNA-based method (barcode mapping) to produce an arthropod-community dataset from 121 Malaise-trap samples, and combine it with 29 remote-imagery layers within a joint species distribution model. With this approach, we generate distribution maps for 76 arthropod species across a 2This article is part of the theme issue ‘Towards a global toolkit for insect biodiversity monitoring’.