EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/24/2021 | 2:00 PM - 3:30 PM | Detecting Early-Warning Signals of Ghost Forests | Virtual Platform
Detecting Early-Warning Signals of Ghost Forests
The southeastern US coastline has seen an increase in extensive tree mortality (i.e. ghost forests) due to climate change variability and human activities. Ghost forests are areas that were healthy forested wetlands in the past, but are now transitioning to marshes or open water. Critical transitions occur when ecosystems become increasingly fragile to disturbances, to the point where a small perturbation may trigger a change to a new state. As freshwater forested wetlands transition to other wetland types, the ecosystem services provided become reduced or altered. Given the potential loss of ecosystem services, it is important to anticipate when and where critical transitions are likely to occur, but it has been challenging to map these transitions, which has limited mitigation efforts.
Remote sensing imagery is a valuable method to detect critical transitions early at the necessary temporal scale due to repeated and consistent observations over large spatial extents. In this study, early warning signals of critical transitions were assessed using the LandTrendr algorithm and metric-based indicators by assessing each pixel’s ability to recover from a disturbance over time.
- Climate change
- Ecosystem
- Adaptive management
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Presenters/Authors
Melinda Martinez
(), North Carolina State University, mmarti13@ncsu.edu;
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Marcelo Ardon
(), North Carolina State University, mlardons@ncsu.edu;
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