Details zur Publikation

Kategorie Textpublikation
Referenztyp Preprints
DOI 10.3897/arphapreprints.e105600
Lizenz creative commons licence
Titel (primär) Deliverable 4.2 Novel technologies for biodiversity monitoring - Final Report
Autor Dornelas, M.; Chow, C.; Patchett, R.; Breeze, T.; Brotons, L.; Beja, P.; Carvalho, L.; Jandt, U.; Junker, J.; Kissling, W.D.; Kühn, I. ORCID logo ; Lumbierres, M.; Lyche Solheim, A.; Mjelde, M.; Moreira, F.; Musche, M.; Pereira, H.; Sandin, L.; Van Grunsven, R.
Quelle ARPHA Preprints
Erscheinungsjahr 2023
Department BZF; NSF; iDiv
Sprache englisch
Topic T5 Future Landscapes
Abstract The goal of this task was to identify and characterise novel methods for biodiversity monitoring, and to assess their suitability for large scale deployment across Europe. To address this goal we combined extensive literature searches with expert consultation, namely using a survey and through an online workshop. The outcome of our searches is summarised in a metadatabase, which includes 282 methods or method components, which have been classified according to EBV classes addressed, target taxa, and broad method type the method relates to. We then consulted experts within the EuropaBON network and beyond, on the advantages and challenges associated with each of these novel methods, as well as their technology readiness level. In combination, our approaches revealed a wealth of novel methods and a highly active research field, with extensive emerging innovation on several fronts. However, it also revealed high variability in technology readiness, with lack of validation being a prevalent hurdle yet to be overcome for many applications of these methods (i.e. for some taxa and in some environments). Moreover, the opportunities for expansion in observations created by these novel approaches open new challenges associated to the standardisation, integration and storage of biodiversity monitoring data. Finally, the expansion of observations should take a designed approach, in order to deliver on its potential to improve representation and resolution of biodiversity monitoring, and should aim to complement rather than replace human observations.
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Dornelas, M., Chow, C., Patchett, R., Breeze, T., Brotons, L., Beja, P., Carvalho, L., Jandt, U., Junker, J., Kissling, W.D., Kühn, I., Lumbierres, M., Lyche Solheim, A., Mjelde, M., Moreira, F., Musche, M., Pereira, H., Sandin, L., Van Grunsven, R. (2023):
Deliverable 4.2 Novel technologies for biodiversity monitoring - Final Report
ARPHA Preprints 10.3897/arphapreprints.e105600