ArticleScientific reports2020
Location biases in ecological research on Australian terrestrial reptiles.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Large-scale and long-term wildlife research and monitoring using camera traps: a continental synthesis.Biological reviews of the Cambridge Philosophical Society · 2025Review
- Applying deep learning on social media to investigate cultural ecosystem services in protected areas worldwide.Scientific reports · 2024Article
- Ecological Considerations When Designing Mitigation Translocations: An Australian Reptile Case Study.Animals : an open access journal from MDPI · 2023Article
- Estimating Alpha, Beta, and Gamma Diversity Through Deep Learning.Frontiers in plant science · 2022Article
- Addressing the global snakebite crisis with geo-spatial analyses - Recent advances and future direction.Toxicon: X · 2021Article
- Ecological impact assessment of climate change and habitat loss on wetland vertebrate assemblages of the Great Barrier Reef catchment and the influence of survey bias.Ecology and evolution · 2021Article
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Authors and funding
4 authors.
Funding
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Abstract
Understanding geographical biases in ecological research is important for conservation, planning, prioritisation and management. However, conservation efforts may be limited by data availability and poor understanding of the nature of potential spatial bias. We conduct the first continent-wide analysis of spatial bias associated with Australian terrestrial reptile ecological research. To evaluate potential research deficiencies, we used Maxent modelling to predict the distributions of 646 reptile studies published from 1972 to 2017. Based on existing distributions of 1631 individual reptile study locations, reptile species richness, proximity to universities, human footprint and location of protected areas, we found the strongest predictor of reptile research locations was proximity to universities (40.8%). This was followed by species richness (22.9%) and human footprint (20.1%), while protected areas were the weakest predictor (16.2%). These results highlight that research effort is driven largely by accessibility and we consequently identify potential target areas for future research that can be optimised to ensure adequate representation of reptile communities.
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