Su Ürünleri Alanında Coğrafi Bilgi Sistemi (CBS) Kullanımı ve Meteorolojik Verilerin Önemi
Özet
Coğrafi Bilgi Sistemi (CBS), farklı amaçlara yönelik mekansal verilerin toplanmasına, analiz edilmesine ve görselleştirilmesine yardımcı olur. Balıkçılığın planlanması ve yönetimi birçok mekânsal bileşene ve buna bağlı olarak da ciddi sorunlara sahiptir. CBS, balıkçılık ve su ürünleri yetiştiriciliği çalışmalarında kıyı alanlarının bu faaliyetlere uygunluğunu değerlendirmek amacıyla son 30 yıldır kullanılmaktadır. CBS diğer analitik araç ve modellerle birleştirildiğinde, gelişmiş mekânsal izlemelerin yapılmasını sağlar ve bunun sonunda daha etkili yönetim uygulamaları gerçekleştirir. Su ürünleri yetiştiriciliğinin başarısı ve sürdürülebilir olmasında yer seçimi çok önemlidir. CBS'nin geliştirilmesi ve uzaktan algılama verilerinin kullanılmasıyla, farklı faktörlerin (biyolojik veya çevresel) sistematik analizine dayalı olarak su ürünleri yetiştiriciliğinde alan seçiminin daha iyi yapılmasını sağlamıştır. Bununla birlikte rüzgarın kuvveti, metrekareye düşen yağış miktarı, dalga yüksekliği v.b. meteorolojik veriler su ürünleri üretiminin başarısı ve sürdürülebilir olması açısından çok önemli faktörlerdir. Balıkçılık veya yetiştiricilik faaliyetlerinde uzun yıllara dayalı meteorolojik dataların CBS ile birlikte kullanılmasıyla yapılacak haritalar ve modellemeler yetiştiricilik sisteminin daha iyi konumlandırılmasına ya da populasyon dinamiği çalışmalarına katkı sunacaktır.
Referanslar
Burrough, P.A. 1986. Principles of geographical information systems for land resources assessment. Monograph on Soils and Resources Survey No. 12. Oxford, UK, Clarendon Press.
Osundwa, J. 2001. the Role of Spatial Information in Natura! Resource Management, Intemational Conference on Spatial Information for Sustainable Development, October 2001, Nairobi, Proceedings of Intemational Conference on Spatial Information for Sustainable Development, 2-8.
Karataş, İ., Kırbaş, İ. 2015. Özgür ve açık kaynak kod coğrafi bilgi sistemi yazılımlarının karşılaştırmalı değerlendirmesi. XVII. Akademik Bilişim Konferansı (AB2015), Eskişehir, Türkiye, 68-74.
Güneroğlu A. 2002. Denizel Verilerin CBS ile Modellenmesi, Yüksek Lisans Tezi, Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Trabzon.
Meaden, G.J.; Aguilar-Manjarrez, J. 2013. Advances in geographic information systems and remote sensing for fisheries and aquaculture. Summary version.FAO Fisheries and Aquaculture Technical Paper, 552. FAO: Rome, 452 pp.
Özsoy, E., Serdar, S. 2021. Evaluation of Spat Settlement of Black Mussel (Mytilus galloprovincialis) in Summer Season Using by Kriging Method in ArcGIS Spatial Analyst. International Symposium on Fisheries and Aquatic Sciences, 07-08 September 2021, İzmir, pp 57
Nath, R.J., Chutia, S.J., Sarmah, N., Bora, G., Chutia, A., Kuotsu, K., Dutta, R., Yashwanth, B.S., 2020. A review on applications of geographic information system (GIS) in fisheries and aquatic resources. International Journal of Fauna and Biological Studies 7, 97–102.
Clarke KC.1986. Advances in geographic information systems. Comput Environ Urban Syst 10:175–184.
Maliene V, Grigonis V, Palevicˇius V, Griffiths S. 2011. Geographic information system: old principles with new capabilities. Urb Des Int 16(1):1–6.
Kolios, S., Vorobev, A. V., Vorobeva, G.R., Stylios, C. 2017. GIS and Environmental Monitoring. Applications in the Marine, Atmospheric and Geomagnetic Fields. Geotechnologies and the Environment Series, Springer International Publishing AG 2017, pp 174.
Daly, C., Gibson, W.P., Taylor, G.H., Johnson, G. L., Pasteris, P., 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22: 99- 113
Narrain, P. and Koroluk, R., 1999. Land Use Classification for Agri-environmental Statistic/Indicators, Statistical Commission and Economic Comission for Europe, Conference of Europan Statisticians, Working Paper No:13, Israel.
Caddy, J.F. & Garcia, S. 1986. Fisheries thematic mapping: A prerequisite for intelligent management and development of fisheries. Oceanographie Tropicale, 21: 31–52.
Kapetsky, J.M., McGregor, L., Nanne, E.H. 1987. A geographical information system to plan for aquaculture: a FAO-UNEP/GRID study in Costa Rica. FAO Fisheries Technical Paper No. 287. Rome, FAO.
Johannessen, O.M., Kloster, K., Olaussen, T.I. & Samuel, P. 1989. Application of remote sensing to fisheries. Final Project Report to the CEC’s Joint Research Centre. Oslo, Norway, CEC.
Simpson, J.J. 1992. Remote sensing and geographical information systems: their past, present and future use in global marine fisheries. Fisheries Oceanography, 1: 238–280.
Meaden, G.J. 2001. GIS in fisheries science: foundations for the new millennium. In T. Nishida, P. Kailola & C. Hollingworth, eds. Proceedings of the first international symposium on GIS in fishery science. pp. 3–29. Saitama, Japan, Fishery GIS Research Group.
Valavanis, V.D. 2002. Geographic information systems in oceanography and fisheries. London, United Kingdom, Taylor & Francis.
Subhendu D. 2013. Application of GIS in Mapping of Fishery Resources, ICAR-CIFE, Kolkata Centr, 142.
Perez, O.M.; Ross, L.G.; Telfer, T.C.; del Campo Barquin, L.M. 2003. Water quality requirements for marine fish cage site selection in Tenerife (Canary Islands): Predictive modelling and analysis using GIS. Aquaculture 2003, 224, 51–68.
Falconer, L., Middelboe, A.L., Kaas, H., Ross, L.G. and Telfer, T.C. 2020. Use of geographic information systems for aquaculture and recommendations for development of spatial tools. Rev Aquacult, 12: 664-677.
Cho, Y.; Lee, W.C.; Hong, S.; Kim, H.C.; Kim, J.B. 2012. GIS-based suitable site selection using habitat suitability index for oyster farms in Geoje-Hansan Bay, Korea. Ocean Coast. Manag. 2012, 56, 10–16.
Llorente, I.; Luna, L.2013. The competitive advantages arising from different environmental conditions in seabream, Sparus aurata, production in the Mediterranean Sea. J. World Aquac. Soc. 2013, 44, 611–627.
Karthik M, J Suri, N Saharan, R.S Biradar. 2005. Brackish Water Aquaculture Site Selection in Palghar Taluk, Thane district of Maharashtra, India using the techniques of remote sensing and geographical information system, Aquacultural Engineering. 2005; 32:285-302.
Perez, O.M.; Telfer, T.C.; Ross, L.G. 2005. Geographical information systems-based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands. Aquac. Res. 2005, 36, 946–961.
Longdill, P.C.; Healy, T.R.; Black, K.P. 2008. An integrated GIS approach for sustainable aquaculture management area site selection. Ocean Coast. Manag. 2008, 51, 612–624.
Kamruzzaman, M.; Baker, D. 2013. Will the application of spatial multi criteria evaluation technique enhance the quality of decisionmaking to resolve boundary conflicts in the Philippines? Land Use Policy 2013, 34, 11–26.
Krois, J.; Schulte, A. 2014. GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl. Geogr. 2014, 51, 131–142.
Liu, Y.; Saitoh, S.-I.; Igarashi, H.; Hirawake, T. 2014. The regional impacts of climate change on coastal environments and the aquaculture of Japanese scallops in northeast Asia: Case studies from Dalian, China, and Funka Bay, Japan. Int. J. Remote Sens. 2014, 35, 4422–4440.
Liu, Y.; Saitoh, S.-I.; Ihara, Y.; Nakada, S.; Kanamori, M.; Zhang, X.; Baba, K.; Ishikawa, Y.; Hirawake, T. 2015. Development of a three-dimensional growth prediction model for the Japanese scallop in Funka Bay, japan, using OGCM and MODIS. ICES J. Mar. Sci. 2015, 72, 2684–2699.
Haghshenas, E.; Gholamalifard, M.; Mahmoudi, N.; Kutser, T. 2021. Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the OrderedWeighted Average Procedure. Sustainability 2021, 13, 2672.
Saitoh, S.-I.; Mugo, R.; Radiarta, I.N.; Asaga, S.; Takahashi, F.; Hirawake, T.; Ishikawa, Y.; Awaji, T.; In, T.; Shima, A.S. 2011. Some operational uses of satellite remote sensing and marine GIS for sustainable fisheries and aquaculture. ICES J. Mar. Sci. 2011, 68, 687–695
Ross, L.G.; QM, E.M.; Beveridge, M.C.M. 1993. The application of geographical information systems to site selection for coastal aquaculture: An example based on salmonid cage culture. Aquaculture 1993, 112, 165–178.
Buitrago, J.; Rada, M.; Hernández, H.; Buitrago, E. 2005. A single-use site selection technique, using GIS, for aquaculture planning: Choosing locations for mangrove oyster raft culture in Margarita Island, Venezuela. Environ. Manag. 2005, 35, 544–556.
Radiarta, I.N.; Saitoh, S.-I.; Miyazono, A. 2008. GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, Japan. Aquaculture 2008, 284, 127–135.
Dapueto, G.; Massa, F.; Costa, S.; Cimoli, L.; Olivari, E.; Chiantore, M.; Povero, P. 2015. A spatial multi-criteria evaluation for site selection of offshore marine fish farm in the Ligurian Sea, Italy. Ocean Coast. Manag. 2015, 116, 64–77.
Meaden, G.J. 2004. Challenges of using geographic information systems in aquatic environments. In Fisher, W.L. and Rahel, F.J., eds. Geographic Information Systems in Fisheries. Bethesda, Maryland, USA: American Fisheries Society. pp. 13–48.
Shipley ST. 2005. GIS applications in meteorology, or adventures in a parallel universe. Bull. Am. Meteorol. Soc. 86: 171–173.
Wang, Y.Q. (2014) MeteoInfo: GIS Software for Meteorological Data Visualization and Analysis. Meteorological Applications, 21, 360-368.
Dyras I, Dobesch H, Grueter E, Perdigao A, Tveito OE, Thornes JE, Wel Fvd, Bottai L. 2005. The use of geographic information systems in climatology and meteorology: COST 719. Meteorol. Appl. 12: 1–5.
Referanslar
Burrough, P.A. 1986. Principles of geographical information systems for land resources assessment. Monograph on Soils and Resources Survey No. 12. Oxford, UK, Clarendon Press.
Osundwa, J. 2001. the Role of Spatial Information in Natura! Resource Management, Intemational Conference on Spatial Information for Sustainable Development, October 2001, Nairobi, Proceedings of Intemational Conference on Spatial Information for Sustainable Development, 2-8.
Karataş, İ., Kırbaş, İ. 2015. Özgür ve açık kaynak kod coğrafi bilgi sistemi yazılımlarının karşılaştırmalı değerlendirmesi. XVII. Akademik Bilişim Konferansı (AB2015), Eskişehir, Türkiye, 68-74.
Güneroğlu A. 2002. Denizel Verilerin CBS ile Modellenmesi, Yüksek Lisans Tezi, Karadeniz Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Trabzon.
Meaden, G.J.; Aguilar-Manjarrez, J. 2013. Advances in geographic information systems and remote sensing for fisheries and aquaculture. Summary version.FAO Fisheries and Aquaculture Technical Paper, 552. FAO: Rome, 452 pp.
Özsoy, E., Serdar, S. 2021. Evaluation of Spat Settlement of Black Mussel (Mytilus galloprovincialis) in Summer Season Using by Kriging Method in ArcGIS Spatial Analyst. International Symposium on Fisheries and Aquatic Sciences, 07-08 September 2021, İzmir, pp 57
Nath, R.J., Chutia, S.J., Sarmah, N., Bora, G., Chutia, A., Kuotsu, K., Dutta, R., Yashwanth, B.S., 2020. A review on applications of geographic information system (GIS) in fisheries and aquatic resources. International Journal of Fauna and Biological Studies 7, 97–102.
Clarke KC.1986. Advances in geographic information systems. Comput Environ Urban Syst 10:175–184.
Maliene V, Grigonis V, Palevicˇius V, Griffiths S. 2011. Geographic information system: old principles with new capabilities. Urb Des Int 16(1):1–6.
Kolios, S., Vorobev, A. V., Vorobeva, G.R., Stylios, C. 2017. GIS and Environmental Monitoring. Applications in the Marine, Atmospheric and Geomagnetic Fields. Geotechnologies and the Environment Series, Springer International Publishing AG 2017, pp 174.
Daly, C., Gibson, W.P., Taylor, G.H., Johnson, G. L., Pasteris, P., 2002. A knowledge-based approach to the statistical mapping of climate. Climate Research, 22: 99- 113
Narrain, P. and Koroluk, R., 1999. Land Use Classification for Agri-environmental Statistic/Indicators, Statistical Commission and Economic Comission for Europe, Conference of Europan Statisticians, Working Paper No:13, Israel.
Caddy, J.F. & Garcia, S. 1986. Fisheries thematic mapping: A prerequisite for intelligent management and development of fisheries. Oceanographie Tropicale, 21: 31–52.
Kapetsky, J.M., McGregor, L., Nanne, E.H. 1987. A geographical information system to plan for aquaculture: a FAO-UNEP/GRID study in Costa Rica. FAO Fisheries Technical Paper No. 287. Rome, FAO.
Johannessen, O.M., Kloster, K., Olaussen, T.I. & Samuel, P. 1989. Application of remote sensing to fisheries. Final Project Report to the CEC’s Joint Research Centre. Oslo, Norway, CEC.
Simpson, J.J. 1992. Remote sensing and geographical information systems: their past, present and future use in global marine fisheries. Fisheries Oceanography, 1: 238–280.
Meaden, G.J. 2001. GIS in fisheries science: foundations for the new millennium. In T. Nishida, P. Kailola & C. Hollingworth, eds. Proceedings of the first international symposium on GIS in fishery science. pp. 3–29. Saitama, Japan, Fishery GIS Research Group.
Valavanis, V.D. 2002. Geographic information systems in oceanography and fisheries. London, United Kingdom, Taylor & Francis.
Subhendu D. 2013. Application of GIS in Mapping of Fishery Resources, ICAR-CIFE, Kolkata Centr, 142.
Perez, O.M.; Ross, L.G.; Telfer, T.C.; del Campo Barquin, L.M. 2003. Water quality requirements for marine fish cage site selection in Tenerife (Canary Islands): Predictive modelling and analysis using GIS. Aquaculture 2003, 224, 51–68.
Falconer, L., Middelboe, A.L., Kaas, H., Ross, L.G. and Telfer, T.C. 2020. Use of geographic information systems for aquaculture and recommendations for development of spatial tools. Rev Aquacult, 12: 664-677.
Cho, Y.; Lee, W.C.; Hong, S.; Kim, H.C.; Kim, J.B. 2012. GIS-based suitable site selection using habitat suitability index for oyster farms in Geoje-Hansan Bay, Korea. Ocean Coast. Manag. 2012, 56, 10–16.
Llorente, I.; Luna, L.2013. The competitive advantages arising from different environmental conditions in seabream, Sparus aurata, production in the Mediterranean Sea. J. World Aquac. Soc. 2013, 44, 611–627.
Karthik M, J Suri, N Saharan, R.S Biradar. 2005. Brackish Water Aquaculture Site Selection in Palghar Taluk, Thane district of Maharashtra, India using the techniques of remote sensing and geographical information system, Aquacultural Engineering. 2005; 32:285-302.
Perez, O.M.; Telfer, T.C.; Ross, L.G. 2005. Geographical information systems-based models for offshore floating marine fish cage aquaculture site selection in Tenerife, Canary Islands. Aquac. Res. 2005, 36, 946–961.
Longdill, P.C.; Healy, T.R.; Black, K.P. 2008. An integrated GIS approach for sustainable aquaculture management area site selection. Ocean Coast. Manag. 2008, 51, 612–624.
Kamruzzaman, M.; Baker, D. 2013. Will the application of spatial multi criteria evaluation technique enhance the quality of decisionmaking to resolve boundary conflicts in the Philippines? Land Use Policy 2013, 34, 11–26.
Krois, J.; Schulte, A. 2014. GIS-based multi-criteria evaluation to identify potential sites for soil and water conservation techniques in the Ronquillo watershed, northern Peru. Appl. Geogr. 2014, 51, 131–142.
Liu, Y.; Saitoh, S.-I.; Igarashi, H.; Hirawake, T. 2014. The regional impacts of climate change on coastal environments and the aquaculture of Japanese scallops in northeast Asia: Case studies from Dalian, China, and Funka Bay, Japan. Int. J. Remote Sens. 2014, 35, 4422–4440.
Liu, Y.; Saitoh, S.-I.; Ihara, Y.; Nakada, S.; Kanamori, M.; Zhang, X.; Baba, K.; Ishikawa, Y.; Hirawake, T. 2015. Development of a three-dimensional growth prediction model for the Japanese scallop in Funka Bay, japan, using OGCM and MODIS. ICES J. Mar. Sci. 2015, 72, 2684–2699.
Haghshenas, E.; Gholamalifard, M.; Mahmoudi, N.; Kutser, T. 2021. Developing a GIS-Based Decision Rule for Sustainable Marine Aquaculture Site Selection: An Application of the OrderedWeighted Average Procedure. Sustainability 2021, 13, 2672.
Saitoh, S.-I.; Mugo, R.; Radiarta, I.N.; Asaga, S.; Takahashi, F.; Hirawake, T.; Ishikawa, Y.; Awaji, T.; In, T.; Shima, A.S. 2011. Some operational uses of satellite remote sensing and marine GIS for sustainable fisheries and aquaculture. ICES J. Mar. Sci. 2011, 68, 687–695
Ross, L.G.; QM, E.M.; Beveridge, M.C.M. 1993. The application of geographical information systems to site selection for coastal aquaculture: An example based on salmonid cage culture. Aquaculture 1993, 112, 165–178.
Buitrago, J.; Rada, M.; Hernández, H.; Buitrago, E. 2005. A single-use site selection technique, using GIS, for aquaculture planning: Choosing locations for mangrove oyster raft culture in Margarita Island, Venezuela. Environ. Manag. 2005, 35, 544–556.
Radiarta, I.N.; Saitoh, S.-I.; Miyazono, A. 2008. GIS-based multi-criteria evaluation models for identifying suitable sites for Japanese scallop (Mizuhopecten yessoensis) aquaculture in Funka Bay, southwestern Hokkaido, Japan. Aquaculture 2008, 284, 127–135.
Dapueto, G.; Massa, F.; Costa, S.; Cimoli, L.; Olivari, E.; Chiantore, M.; Povero, P. 2015. A spatial multi-criteria evaluation for site selection of offshore marine fish farm in the Ligurian Sea, Italy. Ocean Coast. Manag. 2015, 116, 64–77.
Meaden, G.J. 2004. Challenges of using geographic information systems in aquatic environments. In Fisher, W.L. and Rahel, F.J., eds. Geographic Information Systems in Fisheries. Bethesda, Maryland, USA: American Fisheries Society. pp. 13–48.
Shipley ST. 2005. GIS applications in meteorology, or adventures in a parallel universe. Bull. Am. Meteorol. Soc. 86: 171–173.
Wang, Y.Q. (2014) MeteoInfo: GIS Software for Meteorological Data Visualization and Analysis. Meteorological Applications, 21, 360-368.
Dyras I, Dobesch H, Grueter E, Perdigao A, Tveito OE, Thornes JE, Wel Fvd, Bottai L. 2005. The use of geographic information systems in climatology and meteorology: COST 719. Meteorol. Appl. 12: 1–5.
