Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species

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 the value of soil properties in the spatial di...

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Main Authors: Andrei Dornik, Mihaela Constanța Ion, Marinela Adriana Chețan, Lucian Pârvulescu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/16/2280
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spelling doaj-0ae1e7bb30de4c93b5fe9118bb43ebdc2021-08-26T14:27:54ZengMDPI AGWater2073-44412021-08-01132280228010.3390/w13162280Soil-Related Predictors for Distribution Modelling of Four European Crayfish SpeciesAndrei Dornik0Mihaela Constanța Ion1Marinela Adriana Chețan2Lucian Pârvulescu3Department of Geography, Faculty of Chemistry, Biology, Geography, West University of Timisoara, Vasile Pârvan 4 Bd., 300223 Timisoara, RomaniaInstitute of Biology Bucharest, Romanian Academy, Splaiul Independenței 296, 060031 Bucharest, RomaniaDepartment of Geography, Faculty of Chemistry, Biology, Geography, West University of Timisoara, Vasile Pârvan 4 Bd., 300223 Timisoara, RomaniaDepartment of Biology-Chemistry, Faculty of Chemistry, Biology, Geography, West University of Timisoara, Pestalozzi 16A, 300115 Timisoara, RomaniaOne 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 the value of soil properties in the spatial distribution of four European indigenous crayfish species. A database with 473 presence and absence locations in Romania for <i>Austropotamobius bihariensis</i>, <i>A</i>. <i>torrentium</i>, <i>Astacus astacus</i> and <i>Pontastacus leptodactylus</i> was used in relation to eight digitalised soil properties. Using random forest modelling, we found a preference for dense soils with lower coarse fragments content together with deeper sediment cover and higher clay values for <i>A</i>. <i>astacus</i> and <i>P</i>. <i>leptodactylus</i>. These descriptors trigger the need for cohesive soil river banks as the microenvironment for building their burrows. Conversely, species that can use banks with higher coarse fragments content, the highland species <i>A</i>. <i>bihariensis</i> and <i>A</i>. <i>torrentium</i>, prefer soils with slightly thinner sediment cover and lower density while not influenced by clay/sand content. Of all species, <i>A</i>. <i>astacus</i> was found related with higher erosive soils. The value of these soil-related digital descriptors may reside in the improvement of approaches in crayfish species distribution modelling to gain adequate conservation measures.https://www.mdpi.com/2073-4441/13/16/2280<i>Astacus astacus</i><i>Austropotamobius bihariensis</i><i>Austropotamobius torrentium</i><i>Pontastacus leptodactylus</i>spatial ecology
collection DOAJ
language English
format Article
sources DOAJ
author Andrei Dornik
Mihaela Constanța Ion
Marinela Adriana Chețan
Lucian Pârvulescu
spellingShingle Andrei Dornik
Mihaela Constanța Ion
Marinela Adriana Chețan
Lucian Pârvulescu
Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
Water
<i>Astacus astacus</i>
<i>Austropotamobius bihariensis</i>
<i>Austropotamobius torrentium</i>
<i>Pontastacus leptodactylus</i>
spatial ecology
author_facet Andrei Dornik
Mihaela Constanța Ion
Marinela Adriana Chețan
Lucian Pârvulescu
author_sort Andrei Dornik
title Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
title_short Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
title_full Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
title_fullStr Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
title_full_unstemmed Soil-Related Predictors for Distribution Modelling of Four European Crayfish Species
title_sort soil-related predictors for distribution modelling of four european crayfish species
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2021-08-01
description 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 the value of soil properties in the spatial distribution of four European indigenous crayfish species. A database with 473 presence and absence locations in Romania for <i>Austropotamobius bihariensis</i>, <i>A</i>. <i>torrentium</i>, <i>Astacus astacus</i> and <i>Pontastacus leptodactylus</i> was used in relation to eight digitalised soil properties. Using random forest modelling, we found a preference for dense soils with lower coarse fragments content together with deeper sediment cover and higher clay values for <i>A</i>. <i>astacus</i> and <i>P</i>. <i>leptodactylus</i>. These descriptors trigger the need for cohesive soil river banks as the microenvironment for building their burrows. Conversely, species that can use banks with higher coarse fragments content, the highland species <i>A</i>. <i>bihariensis</i> and <i>A</i>. <i>torrentium</i>, prefer soils with slightly thinner sediment cover and lower density while not influenced by clay/sand content. Of all species, <i>A</i>. <i>astacus</i> was found related with higher erosive soils. The value of these soil-related digital descriptors may reside in the improvement of approaches in crayfish species distribution modelling to gain adequate conservation measures.
topic <i>Astacus astacus</i>
<i>Austropotamobius bihariensis</i>
<i>Austropotamobius torrentium</i>
<i>Pontastacus leptodactylus</i>
spatial ecology
url https://www.mdpi.com/2073-4441/13/16/2280
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