“…e.g. , König et al (2019) , using an increasingly standardised and harmonised taxonomic framework as the common backbone; - Use these integrated resources for applied data-driven science to understand the diversity of extant life on Earth, how that diversity functions and interacts, and how it responds to changing environmental pressures ( Pereira et al , 2012 );
- Implement monitoring of lesser-known or complex ecosystems, including for enhancing understanding of species interactions and dynamics, as well as for species discovery and exploration of “dark taxa” e.g., Rahman et al (2022) ;
- Include assessments of within-species, population-level genetic diversity to support characterisations of their evolutionary histories and predictions of their future prospects in the face of ongoing climatic changes ( Pearman et al , 2024 );
- Operationalise the assessment of Essential Biodiversity Variables (EBVs) across taxa and spatiotemporal scales, focusing on species distribution and abundance ( Kissling et al , 2018 ; Jetz et al , 2019 );
- Engage with naturalists and citizen scientist groups through the use of new technologies that help build a democratised monitoring framework and improve characterisation of ecosystem biodiversity in space and time ( Robinson & Peres, 2021 );
- Evaluate biodiversity declines, as well as population-level adaptation and migration processes, in the context of anthropogenic activities ( e.g. , climate change and urbanisation consequences, ( Finn et al , 2023 )), and understand key aspects necessary to restore ecosystem functions ( Breed et al , 2019 ) to help prioritise biodiversity conservation, restoration, and “rewilding” efforts ( e.g., particularly relevant to at-risk biodiversity hotspots).
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