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Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
Published on: October 11, 2016
Assessing the current and future distribution of Androctonus mauritanicus in Morocco under climate change using
S Namiq1, M Namous2, A El Mourid3
1Team of Applied Biology for Health, Environment and Sustainable Development (BASED), Department of Biology-Geology, Polydisciplinary Faculty, Sultan Moulay Slimane University, Beni Mellal, 23000, Morocco.
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.
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