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Synthesizing seagrass models: application to ecological forecasts. Final report.

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dc.contributor.author Robbins, Bradley D.
dc.contributor.author Fonseca, Mark S.
dc.contributor.author Koch, Evamaria W.
dc.contributor.author Malhotra, Amit
dc.date.accessioned 2013-06-24T19:06:14Z
dc.date.available 2013-06-24T19:06:14Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/2075/3200
dc.description 41 p. pdf. Includes appendices, tables, charts and maps. en_US
dc.description.abstract The major goal of this project was to synthesize available information on the dynamics of seagrass landscapes in response to anthropogenic stressors and natural variability by reviewing models representing various aspects of seagrass ecosystems and to develop a comparative analysis of their required input data, their spatial and temporal scales of application, the metrics of their input and output, and the utility of the data (e.g., potential audience and types of management issues). en_US
dc.description.sponsorship NOAA - National Oceanic and Atmospheric Administration. en_US
dc.language.iso en_US en_US
dc.publisher Mote Marine Laboratory, Sarasota, FL en_US
dc.relation.ispartofseries Mote Technical Report;No. 986
dc.subject seagrasses en_US
dc.subject seagrass beds en_US
dc.subject Tampa Bay (Florida) en_US
dc.subject Southern Pamlico Sound (North Carolina) en_US
dc.subject Chesapeake Bay (Maryland) en_US
dc.title Synthesizing seagrass models: application to ecological forecasts. Final report. en_US
dc.type Technical Report en_US


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