Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea
<p>To comprehensively manage an ecosystem such as that of the Caspian Sea, the world’s largest lake, detailed knowledge of the habitat traits of the living organisms in the ecosystem is essential. The present study examined environmental variables and used the Habitat Suitability Index (HSI) m...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2015-11-01
|
| Series: | Journal of Limnology |
| Subjects: | |
| Online Access: | http://www.jlimnol.it/index.php/jlimnol/article/view/1215 |
| _version_ | 1828911959753359360 |
|---|---|
| author | Ali Haghi Vayghan Hasan Fazli Rasul Ghorbani Ming-An Lee Hasan Nasrollahzadeh Saravi |
| author_facet | Ali Haghi Vayghan Hasan Fazli Rasul Ghorbani Ming-An Lee Hasan Nasrollahzadeh Saravi |
| author_sort | Ali Haghi Vayghan |
| collection | DOAJ |
| description | <p>To comprehensively manage an ecosystem such as that of the Caspian Sea, the world’s largest lake, detailed knowledge of the habitat traits of the living organisms in the ecosystem is essential. The present study examined environmental variables and used the Habitat Suitability Index (HSI) model to determine the most preferred seasonal habitat and optimal environmental range of Caspian shad (<em>Alosa </em>spp). The fish preferred deep waters with low levels of total organic matter and sea level anomaly in winter and productive areas with a high concentration of chlorophyll-a (Chl<em>a</em>) and relatively high benthos biomass in spring. The number per unit area (NPUA)-based HSI model determined that the geometric mean model (GMM) was the optimal model for defining a suitable habitat in winter. For spring, the arithmetic mean model (or GMM) in the NPUA-based HSI model most accurately predicted preferred habitat for Caspian shad. The average NPUA in both seasons increased with the HSI; areas with an HSI of between 0.4 and 0.6 in spring and between 0.6 and 0.8 in winter had a high percentage of total catch. Areas with an HSI of more than 0.5 had over 91% and 63% of the total catch in spring and winter, respectively, demonstrating the reliability of the NPUA-based HSI model in predicting Caspian shad habitat. The present study shows that remotely sensed data plus depth are the most critical environmental variables in Caspian shad habitats and that Chl<em>a</em> and SLA are the most critical remotely sensed parameters for near real-time prediction of Caspian shad habitat.</p> |
| first_indexed | 2024-12-13T19:12:40Z |
| format | Article |
| id | doaj.art-8a4ce74eb3d74fcbb7beb9d169a7b464 |
| institution | Directory Open Access Journal |
| issn | 1129-5767 1723-8633 |
| language | English |
| last_indexed | 2024-12-13T19:12:40Z |
| publishDate | 2015-11-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Journal of Limnology |
| spelling | doaj.art-8a4ce74eb3d74fcbb7beb9d169a7b4642022-12-21T23:34:22ZengPAGEPress PublicationsJournal of Limnology1129-57671723-86332015-11-0175110.4081/jlimnol.2015.1215769Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian SeaAli Haghi Vayghan0Hasan Fazli1Rasul Ghorbani2Ming-An Lee3Hasan Nasrollahzadeh Saravi4Gorgan University of Agricultural Science and Natural ResourcesIranian Fisheries Science Research Institute (IFSRI), Caspian Sea Ecology Research Center (CSERC), Agricultural Research, Education and Extension Organization (AREEO)Gorgan University of Agricultural Science and Natural ResourcesNational Taiwan Ocean UniversityIranian Fisheries Science Research Institute (IFSRI), Caspian Sea Ecology Research Center (CSERC), Agricultural Research, Education and Extension Organization (AREEO)<p>To comprehensively manage an ecosystem such as that of the Caspian Sea, the world’s largest lake, detailed knowledge of the habitat traits of the living organisms in the ecosystem is essential. The present study examined environmental variables and used the Habitat Suitability Index (HSI) model to determine the most preferred seasonal habitat and optimal environmental range of Caspian shad (<em>Alosa </em>spp). The fish preferred deep waters with low levels of total organic matter and sea level anomaly in winter and productive areas with a high concentration of chlorophyll-a (Chl<em>a</em>) and relatively high benthos biomass in spring. The number per unit area (NPUA)-based HSI model determined that the geometric mean model (GMM) was the optimal model for defining a suitable habitat in winter. For spring, the arithmetic mean model (or GMM) in the NPUA-based HSI model most accurately predicted preferred habitat for Caspian shad. The average NPUA in both seasons increased with the HSI; areas with an HSI of between 0.4 and 0.6 in spring and between 0.6 and 0.8 in winter had a high percentage of total catch. Areas with an HSI of more than 0.5 had over 91% and 63% of the total catch in spring and winter, respectively, demonstrating the reliability of the NPUA-based HSI model in predicting Caspian shad habitat. The present study shows that remotely sensed data plus depth are the most critical environmental variables in Caspian shad habitats and that Chl<em>a</em> and SLA are the most critical remotely sensed parameters for near real-time prediction of Caspian shad habitat.</p>http://www.jlimnol.it/index.php/jlimnol/article/view/1215Caspian Seahabitat suitability index (HSI) modelCaspian shadecosystem-based managementhabitat modeling. |
| spellingShingle | Ali Haghi Vayghan Hasan Fazli Rasul Ghorbani Ming-An Lee Hasan Nasrollahzadeh Saravi Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea Journal of Limnology Caspian Sea habitat suitability index (HSI) model Caspian shad ecosystem-based management habitat modeling. |
| title | Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea |
| title_full | Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea |
| title_fullStr | Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea |
| title_full_unstemmed | Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea |
| title_short | Temporal habitat suitability modeling of Caspian shad (Alosa spp.) in the southern Caspian Sea |
| title_sort | temporal habitat suitability modeling of caspian shad alosa spp in the southern caspian sea |
| topic | Caspian Sea habitat suitability index (HSI) model Caspian shad ecosystem-based management habitat modeling. |
| url | http://www.jlimnol.it/index.php/jlimnol/article/view/1215 |
| work_keys_str_mv | AT alihaghivayghan temporalhabitatsuitabilitymodelingofcaspianshadalosasppinthesoutherncaspiansea AT hasanfazli temporalhabitatsuitabilitymodelingofcaspianshadalosasppinthesoutherncaspiansea AT rasulghorbani temporalhabitatsuitabilitymodelingofcaspianshadalosasppinthesoutherncaspiansea AT minganlee temporalhabitatsuitabilitymodelingofcaspianshadalosasppinthesoutherncaspiansea AT hasannasrollahzadehsaravi temporalhabitatsuitabilitymodelingofcaspianshadalosasppinthesoutherncaspiansea |