Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques

Currently the application of geographic information systems in the subjects of biology and ecology has facilitated the study patterns of distribution, richness y diversity of species. However, in freshwater ecosystems the application of geostatistical analysis are scarcely used in the worldwide, inc...

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Main Authors: Sam Catchpole, Reinaldo Rivera, Ce Hernández, Javiera De La Peña, Pablo González
Format: Article
Language:English
Published: PAGEPress Publications 2019-05-01
Series:Journal of Limnology
Subjects:
Online Access:https://www.jlimnol.it/index.php/jlimnol/article/view/1881
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author Sam Catchpole
Reinaldo Rivera
Ce Hernández
Javiera De La Peña
Pablo González
author_facet Sam Catchpole
Reinaldo Rivera
Ce Hernández
Javiera De La Peña
Pablo González
author_sort Sam Catchpole
collection DOAJ
description Currently the application of geographic information systems in the subjects of biology and ecology has facilitated the study patterns of distribution, richness y diversity of species. However, in freshwater ecosystems the application of geostatistical analysis are scarcely used in the worldwide, including Chile. Therefore, in our study we developed predictive maps using simple Kriging (resolution 12.5 x 12.5 m), based on richness and Shannon-Weaver diversity, and we analyzed spatial autocorrelation of fish assemblages (Moran and Getis-Ord index) present in the Andalién River basin. Our results established a fish assemblage composition of 24 species, most of them native (79%) and with endanger conservation status. Predictive maps showed highest values of richness and diversity of fish species in the potamon zone of the Andalién and Nonguén streams, while the low values were described in the Chaimavida sub-basin and the transition zone of Andalién River. The Moran and Getis-Ord index determined a cluster pattern of the data and define hotspot and coldspot zones, concordant with the predictive maps of richness and Shannon-Weaver diversity. The geostatistical and spatial techniques showed to be relevant tools for the determination of distribution patterns of freshwater species and conservation issues.
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spelling doaj.art-4b2e73058533483aaee126e5874c023d2022-12-22T01:49:19ZengPAGEPress PublicationsJournal of Limnology1129-57671723-86332019-05-0110.4081/jlimnol.2019.1881Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniquesSam Catchpole0Reinaldo Rivera1Ce Hernández2Javiera De La Peña3Pablo González4Fundación Organización para el Desarrollo y la Sustentabilidad; Pares & Álvarez Gestión Ambiental, ConcepciónDepartamento de Zoología, Universidad de ConcepciónDepartamento de Zoología, Universidad de ConcepciónPares & Álvarez Gestión Ambiental, ConcepciónCentro Regional de Estudios Ambientales, Universidad Católica de la Santísima Concepción, ConcepciónCurrently the application of geographic information systems in the subjects of biology and ecology has facilitated the study patterns of distribution, richness y diversity of species. However, in freshwater ecosystems the application of geostatistical analysis are scarcely used in the worldwide, including Chile. Therefore, in our study we developed predictive maps using simple Kriging (resolution 12.5 x 12.5 m), based on richness and Shannon-Weaver diversity, and we analyzed spatial autocorrelation of fish assemblages (Moran and Getis-Ord index) present in the Andalién River basin. Our results established a fish assemblage composition of 24 species, most of them native (79%) and with endanger conservation status. Predictive maps showed highest values of richness and diversity of fish species in the potamon zone of the Andalién and Nonguén streams, while the low values were described in the Chaimavida sub-basin and the transition zone of Andalién River. The Moran and Getis-Ord index determined a cluster pattern of the data and define hotspot and coldspot zones, concordant with the predictive maps of richness and Shannon-Weaver diversity. The geostatistical and spatial techniques showed to be relevant tools for the determination of distribution patterns of freshwater species and conservation issues.https://www.jlimnol.it/index.php/jlimnol/article/view/1881Kriginginterpolationspatial autocorrelationAndalién River basin
spellingShingle Sam Catchpole
Reinaldo Rivera
Ce Hernández
Javiera De La Peña
Pablo González
Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
Journal of Limnology
Kriging
interpolation
spatial autocorrelation
Andalién River basin
title Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
title_full Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
title_fullStr Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
title_full_unstemmed Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
title_short Predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central-south of Chile, by geostatistical techniques
title_sort predicting spatial distribution patterns and hotspots of fish assemblage in a coastal basin of the central south of chile by geostatistical techniques
topic Kriging
interpolation
spatial autocorrelation
Andalién River basin
url https://www.jlimnol.it/index.php/jlimnol/article/view/1881
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