Annualmeeting:2017 CSDMS meeting-003

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Modeling the Physical States of Intensely Biological Seabeds

Chris Jenkins, INSTAAR Boulder Colorado, United States, Germany. jenkinsc0@gmail.com
Thomas Wever, WTD-71 Kiel , Germany. thomaswever@t-online.de


[[Image:|300px|right|link=File:]]Fresh impetus has been given to efforts for a unified bio+geo understanding of seafloor physical properties. In part the requirement comes from practical needs in: the dependability of automated modules (Autonomous Underwater Vehicles), for object detection (e.g. unexploded ordinance), and for more accurate Acoustic Seafloor Classification in habitat mapping. By the combination of various techniques, and especially new information resources, the opportunities for fresh advancement in the field have recently increased. The new information resources include semantic structures such as Encyclopedia of Life, WoRMS, Traitbank and others where the characteristics of organisms are described, including their lifecycles, engineering activities, morphologies. They also include environmental databases of ever increasing resolution and scope, such as photosynthetically available radiation, sediment types, water flows, particulate matter and nutrients. The challenge is a significant one, to combine these factors, but there are some approaches which have been tested and found very promising. Some are described in this poster. They include simulations (rather than analytical models) with data formats derived from the 3D printing industry, agent-based approaches, population models of various types (including cellular models), and more. Global change, often human-induced, is causing a re-balancing between 'barren' sediment-dominated areas and those which are intensely colonized. Models such as these are required to see ahead to the consequences and management of the changes.