Annualmeeting:2017 CSDMS meeting-003: Difference between revisions
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|CSDMS meeting first name=Chris | |CSDMS meeting first name=Chris | ||
|CSDMS meeting last name=Jenkins | |CSDMS meeting last name=Jenkins | ||
|CSDMS meeting institute= | |CSDMS meeting institute=INSTAAR | ||
|CSDMS meeting city=Boulder | |CSDMS meeting city=Boulder | ||
|CSDMS meeting country=United States | |CSDMS meeting country=United States | ||
|CSDMS meeting state=Colorado | |CSDMS meeting state=Colorado | ||
|CSDMS meeting email address= | |CSDMS meeting email address=jenkinsc0@gmail.com | ||
|CSDMS meeting phone=7208403303 | |CSDMS meeting phone=7208403303 | ||
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{{CSDMS meeting abstract title temp | {{CSDMS meeting abstract title temp | ||
|CSDMS meeting abstract title= | |CSDMS meeting abstract title=Modeling the Physical States of Intensely Biological Seabeds | ||
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|CSDMS meeting coauthor first name abstract=Thomas | |||
|CSDMS meeting coauthor last name abstract=Wever | |||
|CSDMS meeting coauthor institute / Organization=WTD-71 | |||
|CSDMS meeting coauthor town-city=Kiel | |||
|CSDMS meeting coauthor country=Germany | |||
|CSDMS meeting coauthor email address=thomaswever@t-online.de | |||
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|CSDMS meeting abstract=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. | |||
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Latest revision as of 14:33, 30 March 2017
Browse abstracts
Modeling the Physical States of Intensely Biological Seabeds
[[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.
