作者
Robin J Boyd, Marcelo A Aizen, Rodrigo M Barahona‐Segovia, Luis Flores‐Prado, Francisco E Fontúrbel, Tiago M Francoy, Manuel Lopez‐Aliste, Lican Martinez, Carolina L Morales, Jeff Ollerton, Oliver L Pescott, Gary D Powney, Antonio Mauro Saraiva, Reto Schmucki, Eduardo E Zattara, Claire Carvell
发表日期
2022/7
期刊
Diversity and Distributions
卷号
28
期号
7
页码范围
1404-1415
简介
Aim
Aggregated species occurrence data are increasingly accessible through public databases for the analysis of temporal trends in the geographic distributions of species. However, biases in these data present challenges for statistical inference. We assessed potential biases in data available through GBIF on the occurrences of four flower‐visiting taxa: bees (Anthophila), hoverflies (Syrphidae), leaf‐nosed bats (Phyllostomidae) and hummingbirds (Trochilidae). We also assessed whether and to what extent data mobilization efforts improved our ability to estimate trends in species' distributions.
Location
The Neotropics.
Methods
We used five data‐driven heuristics to screen the data for potential geographic, temporal and taxonomic biases. We began with a continental‐scale assessment of the data for all four taxa. We then identified two recent data mobilization efforts (2021) that drastically increased the …
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RJ Boyd, MA Aizen, RM Barahona‐Segovia… - Diversity and Distributions, 2022