Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea
Understanding ecological and anthropogenic drivers of fish population dynamics and achieving a sustainable yield requires detailed studies on habitat selection and spatial distribution. The objective of this study was to predict spatial density and distribution of kilka species in the southern Caspi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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University of Tehran
2017-06-01
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| Series: | International Journal of Aquatic Biology |
| Subjects: | |
| Online Access: | http://ij-aquaticbiology.com/index.php/ijab/article/view/309 |
| _version_ | 1819060839964999680 |
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| author | Kaveh Amiri Nader Shabanipour Soheil Eagderi |
| author_facet | Kaveh Amiri Nader Shabanipour Soheil Eagderi |
| author_sort | Kaveh Amiri |
| collection | DOAJ |
| description | Understanding ecological and anthropogenic drivers of fish population dynamics and achieving a sustainable yield requires detailed studies on habitat selection and spatial distribution. The objective of this study was to predict spatial density and distribution of kilka species in the southern Caspian sea in relation to satellite-derived sea surface temperature, chlorophyll-a concentration, turbidity and water depths using ordinary kriging and co-kriging geostatistical methods and introduction an appropriate potential fishing area according to the present fishing points. Three hundred and fifty fishing surveys were done in two main kilka fishing ports in the southern Caspian Sea (Anzali and Babolsar ports) from 2015 to 2016. The Geostatistical analysis showed that the co-kriging spatial interpolation method provided the best prediction of fish abundance when chlorophyll-a content was included in model. |
| first_indexed | 2024-12-21T14:33:23Z |
| format | Article |
| id | doaj.art-75647c4e17e2459583e8a91265040378 |
| institution | Directory Open Access Journal |
| issn | 2383-0956 2322-5270 |
| language | English |
| last_indexed | 2024-12-21T14:33:23Z |
| publishDate | 2017-06-01 |
| publisher | University of Tehran |
| record_format | Article |
| series | International Journal of Aquatic Biology |
| spelling | doaj.art-75647c4e17e2459583e8a912650403782022-12-21T19:00:25ZengUniversity of TehranInternational Journal of Aquatic Biology2383-09562322-52702017-06-0152108113210Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian SeaKaveh Amiri0Nader Shabanipour1Soheil Eagderi2Department of Biology, Faculty of science, University of Guilan, Rasht, Iran.Department of Biology, Faculty of science, University of Guilan, Rasht, Iran.Department of Fisheries, Faculty of Natural Resources, University of Tehran, Karaj, Iran.Understanding ecological and anthropogenic drivers of fish population dynamics and achieving a sustainable yield requires detailed studies on habitat selection and spatial distribution. The objective of this study was to predict spatial density and distribution of kilka species in the southern Caspian sea in relation to satellite-derived sea surface temperature, chlorophyll-a concentration, turbidity and water depths using ordinary kriging and co-kriging geostatistical methods and introduction an appropriate potential fishing area according to the present fishing points. Three hundred and fifty fishing surveys were done in two main kilka fishing ports in the southern Caspian Sea (Anzali and Babolsar ports) from 2015 to 2016. The Geostatistical analysis showed that the co-kriging spatial interpolation method provided the best prediction of fish abundance when chlorophyll-a content was included in model.http://ij-aquaticbiology.com/index.php/ijab/article/view/309Modeling, Predict catch abundance, Kilka, Caspian Sea. |
| spellingShingle | Kaveh Amiri Nader Shabanipour Soheil Eagderi Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea International Journal of Aquatic Biology Modeling, Predict catch abundance, Kilka, Caspian Sea. |
| title | Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea |
| title_full | Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea |
| title_fullStr | Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea |
| title_full_unstemmed | Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea |
| title_short | Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea |
| title_sort | using kriging and co kriging to predict distributional areas of kilka species clupeonella spp in the southern caspian sea |
| topic | Modeling, Predict catch abundance, Kilka, Caspian Sea. |
| url | http://ij-aquaticbiology.com/index.php/ijab/article/view/309 |
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