ArticleScientific reports2025
Optimizing survey conditions for Burmese python detection and removal using community science data.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Prioritizing removals of a highly cryptic invasive species using machine learning and demographic weighting.Ecological applications : a publication of the Ecological Society of America · 2026Article
- Efficacy of field-based surveys for detecting and assessing demographics of giant snakes (Malayopython reticulatus) in Malaysia.Scientific reports · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
Burmese pythons (Python bivittatus) have demonstrated prolific spread and low detectability within their invasive range in Florida, USA. Consequently, programs exist which incentivize contractors to remove pythons. While surveying, contractors collect data on search effort and python captures. We examined data from South Florida Water Management District's Python Elimination Program to determine the effect of operational and environmental covariates on two measures of survey outcome: success (i.e., probability of removing at least one python) and efficiency (i.e., the number of pythons removed per survey hour). Additionally, we assessed the spatial distribution of contractor search effort and removals. Warm temperatures (> 25 °C) improve survey outcomes, especially when surveys occur late at night and during the wet season (May-Oct). The most efficient interval for conducting surveys occurs from 20:00 to 02:00. The spatial distribution of python removals is concentrated in four regions and coincides with contractor search effort. Our results provide insights into optimizing removal efforts for invasive Burmese pythons in Florida, which may allow for increases in removal efficiency. Moreover, this study demonstrates that community science data can be used to synthesize recommendations for invasive species removal efforts.
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Registered trials
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