Skip to main content
hyi
Banner
banner
bn

Adaptive Integrated Framework (AIF): a new methodology for managing impacts of multiple stressors in coastal ecosystems

Synergistic effects of multiple anthropogenic stressors may result   in complex ecosystem level effects with nonlinear and unexpected   impacts in aquatic ecosystems. Modeling and empirical approaches may   be used to evaluate these impacts, but these approaches generally   lack a comprehensive framework for comparing models and their   outputs, prioritizing information and data collections, or balancing   outcomes with competing management objectives. To address these   scientific and managerial challenges, this project proposes a novel,   unique Adaptive Integrated Framework (AIF) for facilitating   information collection, implementing adaptive modeling approaches,   and guiding research needs to improve management decision making.     This project uses input from agency managers, researchers and   modelers, including both data to characterize ecosystems and socio-  economic factors to drive modeling approaches and management   actions. The proposed framework will be applied to Saginaw Bay, a   coastal system greatly impacted by multiple stressors such as   invasive species, changing land-use patterns, and climatic change.  The program will calibrate an ensemble of ecosystem models using   extensive historical data for Saginaw Bay, develop a watershed and   hydrological model for the coastal ecosystem, and develop human   dimensions models for evaluating resource outcomes and management   plans. These efforts will be undertaken at differing scales of   resolution to model and evaluate water quality, fish production and   economic metrics that are of importance to management agencies and   the public.    This project will receive a grant worth $3,76 ,    over its entire   span -- or about $752,   /year.    (Saginaw Bay); (Lake Huron); (Michigan); (Adaptive Integrated   Framework); (AIF); (multiple stressors); (water quality); (fish   production); (economic metrics); (invasive species); (AIS); (ANS);   (aquatic invasive species); (aquatic nuisance species); (changing   land-use patterns); (climatic change)  

Status
In progress
Type
Project
Start Date
End Date
Researchers
Scope of Study
Field Investigation
Laboratory Investigation
Literature / Existing Data
Scale of Phenomena
Ecosystem
Lake Basin Connecting Channels
Lake Huron
State Province
Michigan
Resource Being Monitored
Habitat
Biology And Life History
Biomanipulation
Control And Mitigation
Habitat Manipulation
Annex Numbers
Pollution from Non-Point Sources
Remedial Action Plans and Lakewide Management Plans
Research & Development
General
Annex
  • Annex Numbers
    Annex Numbers
    Pollution from Non-Point Sources
    Remedial Action Plans and Lakewide Management Plans
    Research & Development
  • Annex 17

The Great Lakes - St. Lawrence Research Inventory is an
interactive, Internet-based, searchable database created as a tool to collect and disseminate
up-to-date information about research projects in the
Great Lakes - St. Lawrence Region.