Improving the efficiency of aerial rodent eradications by means of the numerical estimation of rodenticide density
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| Format: | Recurso digital |
| Sprache: | Englisch |
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2019
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| author | Rojas-Mayoral, Evaristo Méndez-Sánchez, Federico Rojas-Mayoral, Braulio Aguirre-Muñoz, Alfonso |
| author_facet | Rojas-Mayoral, Evaristo Méndez-Sánchez, Federico Rojas-Mayoral, Braulio Aguirre-Muñoz, Alfonso |
| contents | <p>Invasive rodents are present on approximately 80% of the world’s islands and constitute one of the most serious threats to island biodiversity and ecosystem functioning. The eradication of rodents is central to island conservation efforts, and the aerial broadcast of rodenticide bait is the preferred dispersal method. To improve the efficiency of rodent eradication campaigns, the generation of accurate and real-time bait density maps is required. Creating maps to estimate the spatial dispersion of bait on the ground has been carried out using traditional GIS methodologies, which are based on limiting assumptions and are time intensive. To improve accuracy and expedite the evaluation of aerial operations, we developed an algorithm for the numerical estimation of rodenticide density (NERD). The NERD algorithm performs calculations with increased accuracy, displaying results almost in real-time. NERD describes the relationship between bait density, the mass flow rate of rodenticide through the bait bucket, and helicopter speed and produces maps of bait density on the ground. NERD also facilitates the planning of helicopter flight paths and allows for the instant identification of areas with low or high bait density. During the recent and successful rodent eradication campaign on Banco Chinchorro in Mexico, carried out during 2015, NERD results were used to enable dynamic decision-making in the field and to ensure the efficient use of resources.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_10214344 |
| institution | Zenodo |
| language | eng |
| publishDate | 2019 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Improving the efficiency of aerial rodent eradications by means of the numerical estimation of rodenticide density Rojas-Mayoral, Evaristo Méndez-Sánchez, Federico Rojas-Mayoral, Braulio Aguirre-Muñoz, Alfonso aerial dispersal bait density invasive species rodenticide <p>Invasive rodents are present on approximately 80% of the world’s islands and constitute one of the most serious threats to island biodiversity and ecosystem functioning. The eradication of rodents is central to island conservation efforts, and the aerial broadcast of rodenticide bait is the preferred dispersal method. To improve the efficiency of rodent eradication campaigns, the generation of accurate and real-time bait density maps is required. Creating maps to estimate the spatial dispersion of bait on the ground has been carried out using traditional GIS methodologies, which are based on limiting assumptions and are time intensive. To improve accuracy and expedite the evaluation of aerial operations, we developed an algorithm for the numerical estimation of rodenticide density (NERD). The NERD algorithm performs calculations with increased accuracy, displaying results almost in real-time. NERD describes the relationship between bait density, the mass flow rate of rodenticide through the bait bucket, and helicopter speed and produces maps of bait density on the ground. NERD also facilitates the planning of helicopter flight paths and allows for the instant identification of areas with low or high bait density. During the recent and successful rodent eradication campaign on Banco Chinchorro in Mexico, carried out during 2015, NERD results were used to enable dynamic decision-making in the field and to ensure the efficient use of resources.</p> |
| title | Improving the efficiency of aerial rodent eradications by means of the numerical estimation of rodenticide density |
| topic | aerial dispersal bait density invasive species rodenticide |
| url | https://doi.org/10.5281/zenodo.10214344 |