Species distribution and abundance modelling with dynamicSDM: a case study analysis of the red-billed quelea (Quelea quelea).
Authors/Creators
- 1. University of Leeds
- 2. University of Greenwich
- 3. Durham University
Description
GBIF_all_aves_2000_2020.csv
A dataset containing e-Bird sampling events for all bird species across southern Africa between 2000-2020 (Fink et al., 2021, GBIF, 2021).
Fink, D., T. Auer, A. Johnston, M. Strimas-Mackey, O. Robinson, S. Ligocki, W. Hochachka, L. Jaromczyk, C. Wood, I. Davies, M. Iliff, L. Seitz. 2021. eBird Status and Trends, Data Version: 2020; Released: 2021. Cornell Lab of Ornithology, Ithaca, New York. \doi{10.2173/ebirdst.2020}
GBIF.org (12 July 2021) GBIF Occurrence Download \doi{10.15468/dl.ppcu6q}
RBQ_full_analysis.R
An R script for the generation of dynamic species distribution and abundance models for nomadic bird, the red-billed quelea (Quelea quelea) using dynamicSDM package functions.
Unfiltered_quelea_occurrence.csv
A dataset containing species occurrence and abundance records for the bird species, the red-billed quelea (Quelea quelea) between 1976-2021 (GBIF 2021 & GBIF 2022 & sources listed in Table 1).
GBIF.org (12 July 2021) GBIF Occurrence Download \doi{10.15468/dl.ppcu6q}
GBIF.org (25 July 2022) GBIF Occurrence Download \doi{10.15468/dl.k2kftv}
Table S1. Red-billed quelea (Quelea quelea) occurrence and abundance data sources.
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Data type |
Sources |
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Control operation |
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Citizen science |
|
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Independent research |
|