Dataset extent

Integrated Ecosystem Programme: Southern Benguela (IEP:SB) on the Algoa Voyage 216, May 2015

The Integrated Ecosystem Programme: Southern Benguela was conducted on the Algoa Voyage 216, 06 to 15 May, 2015. The Integrated Ecosystem Programme is a multi-disciplinary, multi-institutional platform to undertake relevant science in the Southern Benguela; also functioning as a platform for collaboration and learning. All projects aim to develop an ecosystem indicator that can be used to effectively monitor and understand the Southern Benguela i.e physical, chemical, planktonic, microbial, seabird and benthic ecosystem indicators, used for ecosystem-based management. IEP:SB focuses on the biologically productive, cold waters of the Benguela Current Large Marine Ecosystem, which are inherently variable on short time-scales and responsive to changing weather patterms. The research aims to provide relevant, reliable and improved assessment of the ecosystem, in support of its effective management, preservation and conservation, so that South Africans can benefit from a healthy and well-functioning ocean environment. The overarching objective is to enhance understanding in process studies by assessing the importance, timing and magnitude of mechanisms and processes that influence the Southern Benguela ecosystem structure and functioning, including the climate variability.

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Additional Info

Field Value
Last Updated June 6, 2024, 13:31 (UTC)
Created June 6, 2024, 13:31 (UTC)
Language
affiliation Oceans and Coastal Research, Department of Forestry, Fisheries and the Environment (DFFE), email: KePillay@dffe.gov.za
contributors Keshnee Pillay
downloadURL https://repository.ocean.gov.za/index.php/s/rrKyaaFZmEn6c4m
harvest_object_id c637847f-cc29-4557-8df8-525b18845358
harvest_source_id 53d89a76-20d6-4ee6-acb9-8b1b33058887
harvest_source_title MIMS
spatial {"type": "Polygon", "coordinates": [[[14.5463131624, -28.7535480371], [18.6441020704, -28.7535480371], [18.6441020704, -34.9911930887], [14.5463131624, -34.9911930887], [14.5463131624, -28.7535480371]]]}
xmax 18.6441020704
xmin 14.5463131624
ymax -34.9911930887
ymin -28.7535480371