arXiv Open Access 2024

Novel community data in ecology -- properties and prospects

Florian Hartig Nerea Abrego Alex Bush Jonathan M. Chase Gurutzeta Guillera-Arroita +12 lainnya

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Abstrak

New technologies for acquiring biological information such as eDNA, acoustic or optical sensors, make it possible to generate spatial community observations at unprecedented scales. The potential of these novel community data to standardize community observations at high spatial, temporal, and taxonomic resolution and at large spatial scale ('many rows and many columns') has been widely discussed, but so far, there has been little integration of these data with ecological models and theory. Here, we review these developments and highlight emerging solutions, focusing on statistical methods for analyzing novel community data, in particular joint species distribution models; the new ecological questions that can be answered with these data; and the potential implications of these developments for policy and conservation.

Topik & Kata Kunci

q-bio.PE

Penulis (17)

Florian Hartig

Nerea Abrego

Alex Bush

Jonathan M. Chase

Gurutzeta Guillera-Arroita

Mathew A. Leibold

Otso Ovaskainen

Loïc Pellissier

Maximilian Pichler

Giovanni Poggiato

Laura Pollock

Sara Si-Moussi

Wilfried Thuiller

Duarte S. Viana

David I. Warton

Damaris Zurell

Douglas W. Yu

Format Sitasi

APA MLA BibTeX

Hartig, F., Abrego, N., Bush, A., Chase, J.M., Guillera-Arroita, G., Leibold, M.A. et al. (2024). Novel community data in ecology -- properties and prospects. https://arxiv.org/abs/2401.10860

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Informasi Jurnal

Tahun Terbit: 2024
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓