SLAMM Forum

General Category => Model Formulation & Parameters => Topic started by: Jonathan S. Clough on September 28, 2017, 01:23:42 PM

Title: SLAMM DMMT Webinar
Post by: Jonathan S. Clough on September 28, 2017, 01:23:42 PM
On November 3rd, at 10:30 AM EST, Warren Pinnacle Consulting Inc. will present the results of a multi-year sea-level rise modeling project supported by the New York State Energy Research and Development Authority (NYSERDA). This project has produced a new decision-support tool designed to help decisionmakers understand the benefits of different adaptation strategies for wetland management under uncertain future conditions. The presentation will focus on background of the project and results from three New York county case studies, as well as presenting a tutorial for users interested in learning how to use the tool.

SLAMM Marsh-Management Tool
Friday, November 3, 2017

10:30 am  |  Eastern Daylight Time (New York, GMT-04:00)  |  1 hr 30 mins
Register (https://nyserda.webex.com/nyserda/j.php?RGID=r1e6728af3f777485e67f64e65a9b87fa)
After your request has been approved, you'll receive instructions for joining the meeting.

Need help? Go to http://help.webex.com.

Prioritization of marsh-management strategies can be a difficult undertaking. Ideally, a manager could evaluate the relative benefits of adaptation strategies and maximize wetland benefits while considering uncertainty both in future sea-level rise and dynamic marsh response. Warren Pinnacle has developed a modeling framework to evaluate the costs and benefits of management strategies while accounting for these uncertainties using the SLAMM marsh migration model. Model results are combined with ecosystem-valuation assessments from stakeholders that define a set of relative "wetland benefits" (e.g., habitat preservation, flood protection), and each site's wetland benefits can then be projected into the future and compared to the estimated costs for each adaptation strategy. By calculating the "wetland benefits per estimated cost" ratio, one can identify the most effective marsh management strategies.