| Title |
Evaluating Tidal Marsh Sustainability in the Face of Sea-Level Rise: A Hybrid Modeling Approach Applied to San Francisco Bay
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0027388 |
| Pubmed ID | |
| Authors |
Diana Stralberg, Matthew Brennan, John C. Callaway, Julian K. Wood, Lisa M. Schile, Dennis Jongsomjit, Maggi Kelly, V. Thomas Parker, Stephen Crooks |
| Abstract |
Tidal marshes will be threatened by increasing rates of sea-level rise (SLR) over the next century. Managers seek guidance on whether existing and restored marshes will be resilient under a range of potential future conditions, and on prioritizing marsh restoration and conservation activities. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 75% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 261 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 11 | 4% |
| Germany | 2 | <1% |
| Ireland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Brazil | 1 | <1% |
| Spain | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 243 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 74 | 28% |
| Student > Ph. D. Student | 39 | 15% |
| Student > Master | 39 | 15% |
| Other | 16 | 6% |
| Student > Bachelor | 13 | 5% |
| Other | 40 | 15% |
| Unknown | 40 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 98 | 38% |
| Agricultural and Biological Sciences | 68 | 26% |
| Earth and Planetary Sciences | 21 | 8% |
| Engineering | 12 | 5% |
| Economics, Econometrics and Finance | 2 | <1% |
| Other | 10 | 4% |
| Unknown | 50 | 19% |