The Assessment of Global Warming on Fish Production in Red Sea Region of Sudan

Year 2022, Volume: 6 Issue: 2, 110 - 119, 29.12.2022

Wadah Elsheikh , İlknur Uçak , M. Cüneyt Bağdatlı

Abstract

The Red Sea is one of the warmest and saltiest seas in the world. Generally Marine communities are facing increasing pressures especially with climate change. Climate change means changes in weather for years that either occur naturally or by human activities. Temperature, winds, vertical mixing, salinity, oxygen, pH and other physical and chemical elements, among others, have a range of direct and indirect effects that have an impact on fisheries. The direct effects act on the physiology, development rates, reproduction, behavior and survival of individuals and can in some cases be studied experimentally and in controlled conditions. Indirect effects act via ecosystem processes and changes in the production of food or abundance of competitors, predators and pathogens. Besides all that, Policymakers continue to pay insufficient attention to the fishing industry. Fisheries should be prioritized throughout the adaptation phase of policy development, and enough funding should be allocated to increase regional fish output that is sustainable. The aim of this study was to determine the effects of climate change on fish production in the Red Sea region of Sudan. It has been observed that the average maximum temperature for many years in the region is 33.8 0C. The total precipitation average was recorded as 165 mm. To reduce the potential effects of climate change on fisheries and food security for many impoverished fishing communities in Sudan, it is advised that expanded and sustained investments in market development, fisheries governance, and the provision of economic incentive mechanisms be made.

Keywords

Global Warming, Fish Production, Red Sea, Sudan

References

• Albut S., Bağdatlı M. C. & Dumanlı Ö. 2018. Remote Sensing Determination of Variation in Adjacent Agricultural Fields in the Ergene River, Journal of Scientific and Engineering Research, 5(1): 113-122.
• Barange M., Bahri T., Beveridge M. C., Cochrane K. L., Funge-Smith S. & Poulain F. 2018. Impacts of climate change on fisheries and aquaculture: synthesis of currrent knowledge, adaptation and mitigation options. FAO.
• Bağdatlı M.C. & Belliturk K. 2016a. Negative Effects of Climate Change in Turkey, Advances in Plants & Agriculture Research, Med Crave Publishing, 3(2):44-46
• Bağdatlı M.C & Belliturk K. 2016b. Water Resources Have Been Threatened in Thrace Region of Turkey, Advances in Plants & Agriculture Research, MedCrave Publishing, 4(1):227-228.
• Bağdatlı M. C. & Arıkan E. N. 2020. Evaluation of Monthly Maximum, Minimum and Average Temperature Changes Observed for Many Years in Nevsehir Province of Turkey, World Research Journal of Agricultural Science (WRJAS), 7(2):209-220.
• Bağdatlı M.C. Belliturk K. & Jabbari A. 2015. Possible Effects on Soil and Water Resources Observed in Nevşehir Province in Long Annual Temperature and Rain Changing, Eurasian Journal of Forest Science, 3(2):19-27.
• Bağdatlı M. C. & Can E. 2020. Temperature Changes of Niğde Province in Turkey: Trend analysis of 50 years data, International Journal of Ecology and Development Research
• Belkin I. M. 2009. Rapid warming of large marine ecosystems. Progress in Oceanography, 81(1-4), 207-213.
• Béné C., Neiland A. E. 2003. Valuing Africa's inland fisheries: Overview of current methodologies with an emphasis on livelihood analysis.
• Chaidez V., Dreano D., Agusti S., Duarte C. M. & Hoteit I. 201). Decadal trends in Red Sea maximum surface temperature. Scientific reports, 7(1), 1-8.
• FAO 2019. Fishery and Aquaculture Country Profiles, Sudan 2019. Country Profile Fact Sheets. In: FAO Fisheries Division [online]. Rome. Updated Feb, 2020. [Cited June 29, 2022]. https://www.fao.org/fishery/en/facp/298
• Heck S., Béné C., Reyes‐Gaskin R. 2007. Investing in African fisheries: building links to the Millennium Development Goals. Fish and Fisheries, 8(3), 211-226.
• İstanbulluoğlu A. Bağdatlı M. C. & Arslan C., 2013. Uzun Yıllık Yağış Verilerinin Trend Analizi ile Değerlendirilmesi Tekirdağ-Çorlu İlçesi Uygulaması, Tekirdağ Ziraat Fakültesi Dergisi, 10(2):70-77, Tekirdağ
• Matthews E., Bechtel J., Britton E., Morrison K. & McClennen C. 2014. A gender perspective on securing livelihoods and nutrition in fish-dependent coastal communities.
• Ministry of Livestock and Fisheries, Sudan, 2018. Fish Production by Regions (2014-2018) Annual Statistical Journal of the Ministry of Livestock and Fisheries, Sudan. Issue 28 page 47
• Mohammed E. Y. & Uraguchi Z. B. 2013. Impacts of climate change on fisheries: Implications for food security in Sub-Saharan Africa. Global Food Security, Nova Science Publishers, Inc, 114-135.
• Raitsos D. E., Hoteit I., Prihartato P. K., Chronis T., Triantafyllou G. & Abualnaja Y. 2011. Abrupt warming of the Red Sea. Geophysical Research Letters, 38(14).
• Rasul N., Stewart I. C., Nawab Z. A. 2015. Introduction to the Red Sea: its origin, structure, and environment. In The Red Sea (pp. 1-28). Springer, Berlin, Heidelberg.
• Rezaeianzadeh M., Tabari H., Arabi Yazdi A., Isik S., Kalin L. 2014. Flood flow forecasting using ANN, ANFIS and regression models. Neural Computing and Applications, 25(1), 25-37.
• Salihi P. B. A., Üçler N. 2021. The Effect of The Data Type on Anfis Results, Case Study Temperature and Relative Humidity. Journal of Scientific Reports-A, (046), 14-33.
• Tesfamichael D. & Elawad A. N. 2016. Sudan. In The Red Sea Ecosystem and Fisheries pp. 37-48. Springer, Dordrecht.
• Tesfamichael D. & Elawad A. N. 2016. Sudan. In The Red Sea Ecosystem and Fisheries (pp. 37-48). Springer, Dordrecht.
• Uçak A. B. & Bağdatlı M.C. 2017. Effects of Deficit Irrigation Treatments on Seed Yield, Oil Ratio and Water Use Efficiency of Sunflower (Helianthus annuusL.), Fresenius Environmental Bulletin, 26(4): 2983-2991, (IJEDR), 6(2):62-71
• UNIDO, 2017. Building institutional capacities for the sustainable management of the marine fishery in the Red Sea State, Republic of Sudan. Unido Independent Evaluation Division Independent Mid-Term Evaluation. SAP ID 130130, Vienna [Cited Tuesday, June 29th 2022]. https://www.unido.org/sites/default/files/2017- 03/MTE_Sudan_Marine_fishery_Red_Sea_State_130130_2016_0.pdf