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Global monitoring of wildlife mortality through participatory science in near-real time Detection of wildlife mortality events is critical for timely conservation and natural resource management. We present an open-source, web-based decision support tool that queries, aggregates and summ...

Monitoring wildlife mortality 24/7 worldwide using participatory science

Paper 👉: www.biorxiv.org/content/10.1...

The Web Application 👉:
huggingface.co/spaces/diego...

#Biodiversity #iNaturalist #WildlifeMortality #DigitalOneHealth #ConservationTech #EcologicalForecasting
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Figure 1 in Van Irsel et al. (2025): "The mapped model predictions of the gradient boosting model showing the USUV occurrence over the Netherlands for the years 2016 (A), 2017 (B), 2018 (C), 2019 (D), 2020 (E), 2021 (F), and 2022 (G). Colours indicate the USUV occurrence probabilities ranging from 0 (white) to 1 (dark orange). For each year the histogram of the monthly total number of dead reported blackbirds is shown (n), with the months selected for our analyses (June–October; blue) and all other months (red)."

Figure 1 in Van Irsel et al. (2025): "The mapped model predictions of the gradient boosting model showing the USUV occurrence over the Netherlands for the years 2016 (A), 2017 (B), 2018 (C), 2019 (D), 2020 (E), 2021 (F), and 2022 (G). Colours indicate the USUV occurrence probabilities ranging from 0 (white) to 1 (dark orange). For each year the histogram of the monthly total number of dead reported blackbirds is shown (n), with the months selected for our analyses (June–October; blue) and all other months (red)."

New publication: Spatio-temporal #Usutuvirus model explains Eurasian #blackbird Turdus merula population trends, by @jurrianvanirsel.bsky.social and others. #citizenscience #nichemodels #transmission #vectorbornepathogen #wildlifemortality
doi.org/10.1111/ecog...

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