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Peer-reviewedCC BY 4.0Peer Community Journal

Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area

  • Florian Lasgorceux
  • Julien Papaïx
  • Yoann Bunz
  • Damien Combrisson
  • Thomas Opitz
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Abstract

Over the recent decades, Europe has experienced a significant decline in common bird species, particularly farmland species, due to anthropic pressures like agricultural intensification. Protected areas, such as the Écrins National Park (ENP) in France, can help mitigate these impacts. We evaluated whether an opportunistic presence-only dataset collected by trained ENP rangers contains biological signals strong enough to support robust statistical inference. Using a generalized additive Poisson model with spatial and spatio-temporal covariates, monthly latent spatio-temporal Gaussian random fields, and a non-spatial inter-annual effect, we estimated the relative abundance of 76 passerine species on a regular grid, with occurrences aggregated per spatio-temporal cell used as a proxy for sampling effort. The model showed good calibration for most species (

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Cite

BibTeXRIS
BibTeX
@article{lasgorceux2026spacetime,
  title = {{Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area}},
  author = {Florian Lasgorceux and Julien Papaïx and Yoann Bunz and Damien Combrisson and Thomas Opitz},
  journal = {Peer Community Journal},
  year = {2026},
  month = jun,
  doi = {10.24072/pcjournal.731},
  url = {https://hal.inrae.fr/hal-05778801v1},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Space-time species distribution modeling with opportunistic presence-only data: a case study of passerines in a protected area
AU  - Florian Lasgorceux
AU  - Julien Papaïx
AU  - Yoann Bunz
AU  - Damien Combrisson
AU  - Thomas Opitz
PY  - 2026
DA  - 2026/06/09
JO  - Peer Community Journal
DO  - 10.24072/pcjournal.731
UR  - https://hal.inrae.fr/hal-05778801v1
AB  - Over the recent decades, Europe has experienced a significant decline in common bird species, particularly farmland species, due to anthropic pressures like agricultural intensification. Protected areas, such as the Écrins National Park (ENP) in France, can help mitigate these impacts. We evaluated whether an opportunistic presence-only dataset collected by trained ENP rangers contains biological signals strong enough to support robust statistical inference. Using a generalized additive Poisson model with spatial and spatio-temporal covariates, monthly latent spatio-temporal Gaussian random fields, and a non-spatial inter-annual effect, we estimated the relative abundance of 76 passerine species on a regular grid, with occurrences aggregated per spatio-temporal cell used as a proxy for sampling effort. The model showed good calibration for most species (
SN  - 2804-3871
SN  - 2804-3871
ER  -