Loading…

Loading grant details…

Completed STANDARD GRANT National Science Foundation (US)

Collaborative Research: Integrating Antarctic Environmental and Biological Predictability to Obtain Optimal Forecasts

$2.25M USD

Funder National Science Foundation (US)
Recipient Organization University Corporation for Atmospheric Res
Country United States
Start Date Sep 01, 2021
End Date Aug 31, 2025
Duration 1,460 days
Number of Grantees 1
Roles Principal Investigator
Data Source National Science Foundation (US)
Grant ID 2037531
Grant Description

This award is funded in whole or in part under the American Rescue Plan Act of 2021 (Public Law 117-2).

Many biogeochemical and biophysical processes are changing in the present and coming century. The mechanisms and the predictability of these processes are still poorly understood. Limits in understanding of these progress limits climate forecasting.

Similarly, ecological forecasting remains a nascent discipline. Comparative assessments of predictability, both within and among species, are critically needed to understand the factors that allow (or prevent) useful ecological forecasts. This study will reveal the influence of climate system dynamics on ecological predictability across a range of scales, and will examine how this role differs among ecological processes, species and regions of Antarctic.

The project research will examine the predictability of Antarctic climate and its influence on seabird demographic response, predictability at various temporal and spatial scales, using the longest datasets available for several polar species. Specifically, the PI will 1) identify the physical mechanisms giving rise to climate predictability in Antarctica, 2) identify the relationships between climate and ecological processes at a range of scales, and 3) reveal the factors controlling ecological predictability across a range of scales (e.g., those relevant for short-term adaptive management versus those relevant at end-of-century timescales).

These objectives will be achieved using the analysis of existing climate data and century length time-scales, Atmosphere-Ocean Global Circulation Models (AOGCMs), with coupled analysis of existing long-term demographic data for multiple seabird species that span a range of ecological niches, life histories, and study sites across the continent.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

All Grantees

University Corporation for Atmospheric Res

Advertisement
Discover thousands of grant opportunities
Advertisement
Browse Grants on GrantFunds
Interested in applying for this grant?

Complete our application form to express your interest and we'll guide you through the process.

Apply for This Grant