Nereus Program Fellow Phil Underwood (Cambridge-WCMC) attended the Advances in Marine Ecosystem Modelling Research (AMEMR) Conference, which took place between July 3 and July 6, 2017 at the Roland Levinsky Building of the University of Plymouth.
Phil Underwood (Cambridge-WCMC) will be delivering a poster presentation at the Advances in Marine Ecosystem Modelling (AMEMR) Conference July 3-6 at the University of Plymouth, UK. The conference will bring…
Madingley is a General Ecosystem Model and hopes to indirectly represent all forms of life, terrestrial and marine. Nereus Fellow Phil Underwood works with the Madingley model to validate its use as a policy tool in relation to fisheries, ecosystem health, and food security. He is working to better understand the relationship between oceanic ecosystems and human societies.
Madingley is a global computational model. To a broad approximation, the Madingley model represents all (most) forms of life. It achieves this by using what’s called a functional-type representation. Species are aggregated in to broad categories that describe a select number of their properties, rather than everything about them. For some, this conceptual leap is too much. Why take a step towards representing all life, but miss the explicit inclusion of species? The answer lies in making the best of human knowledge, and balancing computational expense.
Nereus Fellow Phil Underwood (Cambridge/UNEP-WCMC) gave a presentation at the Friends of Madingley Symposium on May 6th at the David Attenborough Building at the University of Cambridge, which aimed to bring together the community of researchers working on the Madingley Model and to discuss the latest advancements.
The fourth Integrated Marine Biogeochemistry and Ecosystem Research (IMBER) IMBIZO (a Zulu word meaning ‘meeting or gathering’) workshop took place at the Istituto Nazionale di Oceanografia and Geofisica (OGS) in Trieste, Italy, from October 26 to 30th, 2015. The meeting gathered scientists and researchers from all over the world to discuss how we integrate knowledge of marine and human systems, and address multiple scales and stressors.