Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
نویسندگان
چکیده
One of the most critical challenges in species distribution modelling is testing and validating various digitally derived environmental predictors (e.g., remote-sensing variables, topographic variables) by field data. Therefore, here we aimed to explore value soil properties spatial four European indigenous crayfish species. A database with 473 presence absence locations Romania for Austropotamobius bihariensis, A. torrentium, Astacus astacus Pontastacus leptodactylus was used relation eight digitalised properties. Using random forest modelling, found a preference dense soils lower coarse fragments content together deeper sediment cover higher clay values P. leptodactylus. These descriptors trigger need cohesive river banks as microenvironment building their burrows. Conversely, that can use content, highland bihariensis prefer slightly thinner density while not influenced clay/sand content. Of all species, related erosive soils. The these soil-related digital may reside improvement approaches gain adequate conservation measures.
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ژورنال
عنوان ژورنال: Water
سال: 2021
ISSN: ['2073-4441']
DOI: https://doi.org/10.3390/w13162280