dc.contributor.author |
Robbins, Bradley D. |
|
dc.date.accessioned |
2014-10-27T15:08:35Z |
|
dc.date.available |
2014-10-27T15:08:35Z |
|
dc.date.issued |
2003 |
|
dc.identifier.uri |
http://hdl.handle.net/2075/3375 |
|
dc.description |
pdf 14 p., color and B&W, figures, milestones and addendum. |
en_US |
dc.description.abstract |
The major goal of this project is to synthesize available infomation 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, the utility of the data (e.g., potential audience and types of management issues). |
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. 922 |
|
dc.subject |
seagrass species |
en_US |
dc.subject |
wind |
en_US |
dc.subject |
water quality |
en_US |
dc.subject |
data |
en_US |
dc.subject |
Tampa Bay |
en_US |
dc.subject |
Chesapeake Bay |
en_US |
dc.title |
Synthesizing seagrass models: application to ecological forecast. Semi annnual report 1. Time period: 09/01/02 -03/01103. NOAA Award No. NA170P2667 |
en_US |
dc.type |
Technical Report |
en_US |