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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PAGEPress Publications
2019-05-01
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Series: | Journal of Limnology |
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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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issn | 1129-5767 1723-8633 |
language | English |
last_indexed | 2024-12-10T12:12:35Z |
publishDate | 2019-05-01 |
publisher | PAGEPress Publications |
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series | Journal of Limnology |
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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