Spatial and Temporal Distribution of Dominant Demersal Fish Species with GIS in the Algerian East Coast
- Alternative Title
- GIS를 이용한 주요 저서어의 시공간 분포 - 알제리 동부 해안을 대상으로
- Abstract
- Data from ALDEM (Algeria-Demersal) trawl survey 2012 and 2013 in the Algerian Eastern Coast were analysed to make a spatial and bathymetric distribution for the most dominant demersal species that are poorly known. A total of twenty hauls were realized along the eastern coast. Using AutoCAD and GIS tool (ArcMap 10.2.2), final maps were obtained from Analog Bathymetric Maps. For a good spatialization of ALDEM data, Inverse Distance Weighting (IDW) was used as an interpolation model. The highest abundances of the dominant species Merluccius merluccius (Eurybathic Species), Mullus barbatus, and Parapenaeus longirostris were recorded between 50 – 100 m, 10 – 100 m, and 200 – 500 m respectively. However, Mullus barbatus was the most dominant species in the two surveys. Furthermore, the total biomass was estimated by the Swept Area Method for the thirteen demersal target species in the study area. Total biomass was 2181.6 tons in 2012, and 1369.6 tons in 2013.
- Author(s)
- Nassim ALLAG
- Issued Date
- 2018
- Awarded Date
- 2018.2
- Type
- Dissertation
- Keyword
- ALDEM data Demersal Species GIS Algerian East Coast Spatial Distribution
- Publisher
- 부경대학교
- URI
- https://repository.pknu.ac.kr:8443/handle/2021.oak/13946
http://pknu.dcollection.net/common/orgView/200000010527
- Affiliation
- 부경대학교 글로벌수산대학원
- Department
- 글로벌수산대학원 국제수산과학협동과정
- Advisor
- 김진수
- Table Of Contents
- 1. Introduction 1
2. Materials and Methods 4
2.1. Study Area 4
2.1.1. The Region of El Kala 5
2.1.2. The Gulf of Annaba 5
2.1.3. The Gulf of Skikda 6
2.1.4. The Bay of Jijel 7
2.2. Prospecting of Fishing Areas 8
2.3. Collection of Biological Samples 9
2.4. Analysis of Sample 10
2.4.1. Numerical and Weight Abundance 10
2.4.2. Density 11
2.4.3. Biomass 11
2.4.4. Dominance 11
2.4.5. Frequency 13
2.5. Assessment of Fishery Resources 14
2.5.1. The Swept Area 14
2.5.2. Estimation of the Biomass with the Swept Area Method 16
2.6. Implementation of a Geographic Information System (GIS) 16
2.6.1. Georeferencing 16
2.6.2. Digitizing 17
2.6.3. Triangulated Irregular Network (TIN) 17
2.6.4. Digital Bathymetric Contour Map 17
2.6.5. Spatial Interpolation 18
3. Results and Discussion 20
3.1. Abundance of Target Species per Stratum 20
3.2. The Average Weight and Numerical Dominance 27
3.3. Frequency 28
3.4. Average Density and Biomass 29
3.5. Swept Area and Total Biomass 32
3.6. Spatial and Bathymetric Distribution of the Dominant Species 34
Acknowledgement 42
References 43
Appendices 49
- Degree
- Master
-
Appears in Collections:
- 글로벌수산대학원 > 국제수산과학협동과정
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