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Volume 32, Number 7—July 2026

Research

Predictive Approach to Mapping Angiostrongylus cantonensis Nematode Distribution, Canary Islands, Spain

Lucia AnettováComments to Author , Jan Divíšek, Radovan Coufal, Anna Šipková, Jana Kačmaříková, Michal Horsák, Vojtech Baláž, Elena Izquierdo-Rodriguez, Barbora Červená, Pilar Foronda, and David Modrý
Author affiliation: Czech University of Life Sciences, Prague, Czech Republic (L. Anettová, D. Modrý); Masaryk University, Brno, Czech Republic (J. Divíšek, R. Coufal, A. Šipková, M. Horsák, D. Modrý); University of Veterinary Sciences, Brno (J. Kačmaříková, V. Baláž, B. Červená); University of La Laguna, Tenerife, Spain (E. Izquierdo-Rodriguez, P. Foronda); Czech Academy of Sciences, Brno (B. Červená); Czech Academy of Sciences, České Budějovice, Czech Republic (D. Modrý)

Main Article

Table 1

Percent contribution and permutation importance of environmental variables retained in a predictive approach to mapping Angiostrongylus cantonensis nematode distribution, Canary Islands, Spain*

Variable % Contribution Permutation
Precipitation seasonality 52.1 9.6
Mean annual temperature 18.1 49.8
Topographic wetness index 10.4 9.4
Terrain ruggedness index 9.5 20.3
Tree cover density, 2018 8.4 0.9
Mean NDVI (SD), 2022 0.8 (0.5) 1.6 (0.4)
Temperature seasonality 0.4 7.9

*Predictions of habitat suitability (probability of occurrence) were made in MaxEnt mode on the basis of data from A. cantonensis field surveys conducted on Tenerife in 2022. We used bioclimatic variables from the CHELSA database (https://www.chelsa-climate.org) for 1981–2010 (37), including annual mean temperature in degrees Celsius (bio1), temperature seasonality (bio4), annual precipitation in kilograms per square meter (bio12), and precipitation seasonality (bio15). NDVI, normalized difference vegetation index.

Main Article

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Page created: May 28, 2026
Page updated: June 17, 2026
Page reviewed: June 17, 2026
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