New data on the distribution of Aguapanela arvi Perafán, Cifuentes & Estrada, 2015 in Colombia through collections and citizen science, with notes on the natural history (Araneae: Theraphosidae)

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  New data on the distribution of Aguapanela arvi Perafán, Cifuentes & Estrada, 2015 in Colombia through collections and citizen science, with notes on the natural history (Araneae: Theraphosidae) Abstract This paper expands the known distribution of Aguapanela arvi Perafán, Cifuentes & Estrada, 2015 in Colombia by reporting its presence for the first time in the departments of Caldas, Quindío, and Risaralda. Additionally, new aspects of its natural history are documented, including parasitic interactions involving a parasitoid wasp and an arthropod-pathogenic fungus. These findings are based on field observations, specimens deposited in biological collections, and citizen science records. Aguirre-Cano, D., Moreno-García, R., Parra-Giraldo, A., Carmona-Aguirre, B., Palacios-Castro, S. and Álvarez-Arellano, D. (2026) “New data on the distribution of Aguapanela arvi Perafán, Cifuentes & Estrada, 2015 in Colombia through collections and citizen science, with notes on the ...

Assessing the current and future distribution of Androctonus mauritanicus in Morocco under climate change using MaxEnt with environmental variables

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Assessing the current and future distribution of Androctonus mauritanicus in Morocco under climate change using MaxEnt with environmental variables

Abstract

Androctonus mauritanicus is among the most dangerous endemic scorpions in Morocco and poses a major public health concern due to its highly toxic venom and anthropophilic nature. This study assesses the current and future distribution of Androctonus mauritanicus under climate change to guide risk management strategies. The current and future distributions of A. mauritanicus were modeled using the MaxEnt algorithm based on occurrence data and environmental variables. Future projections were generated using an ensemble of three Global Climate Models (BCC-CSM2-MR, HadGEM3-GC31-LL, and MIROC6) under three Shared Socioeconomic Pathways (SSP126, SSP245, and SSP585). Model calibration was performed using ENMeval with spatial block cross-validation. The optimal model (LQH, RM = 2) showed high predictive performance, with a training AUC of 0.943, a validation AUC of 0.828 ± 0.182, a mean five-fold AUC of 0.923 ± 0.017, and a mean TSS of 0.689 ± 0.087. The current distribution revealed a concentration of suitable habitats in northern and central Morocco, whereas most southern, south-eastern, and eastern regions were classified as unsuitable. Analysis of environmental variables identified soil moisture and climatic variables (BIO03, BIO02, and BIO08) as the main factors shaping species distribution. Future projections suggested an expansion of suitable habitats under all climate change scenarios. Change detection analysis revealed positive net habitat gains ranging from 26.99% to 33.81%, with expansion areas consistently exceeding contraction areas. These results identify areas environmentally suitable for A. mauritanicus and demonstrate the value of species distribution models for surveillance and prevention planning.
Namiq, S., Namous, M., El Mourid, A., Bouimeja, B., & Touloun, O. (2026). Assessing the current and future distribution of Androctonus mauritanicus in Morocco under climate change using MaxEnt with environmental variables. Toxicon, 281, 109212. https://doi.org/10.1016/j.toxicon.2026.109212