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Spatiotemporal dynamics of forest geometrid outbreaks
Jane U Jepsen1, Ole Petter L Vindstad2, Rolf A Ims2
1Norwegian Institute for Nature Research, Department of Arctic Ecology, Fram Centre, P.O. Box 6606 Langnes, 9296 Tromsø, Norway.
Current Opinion in Insect Science
|November 27, 2022
Summary
Climate change impacts forest geometrid moths, altering their populations and ranges. Near-term ecological forecasting offers new tools to predict these dynamics and understand their causes.
Area of Science:
- Ecology
- Entomology
- Climate Change Science
Background:
- Forest geometrid moths (Geometridae) exhibit traits making them susceptible to climate change-driven range expansions and host shifts.
- Recent shifts in geometrid spatiotemporal dynamics present research opportunities to study spatial synchrony drivers.
- Understanding these dynamics is crucial for forest ecosystem management.
Purpose of the Study:
- To review recent advancements and future directions in understanding forest geometrid spatiotemporal dynamics.
- To explore the role of climate change, biological traits, and trophic interactions in geometrid population changes.
- To advocate for the application of near-term ecological forecasting in geometrid research.
Main Methods:
- Literature review of recent developments in geometrid population dynamics research.
- Analysis of factors influencing spatial synchrony, including biological traits and trophic interactions.
- Discussion of the potential of near-term ecological forecasting for predicting geometrid outbreaks.
Main Results:
- Forest geometrids are particularly vulnerable to climate change, leading to altered spatiotemporal dynamics.
- Observed changes offer opportunities to test hypotheses on spatial synchrony and its drivers.
- Near-term ecological forecasting shows promise for predicting geometrid population dynamics.
Conclusions:
- Climate change significantly affects forest geometrid populations, necessitating advanced predictive tools.
- Further research into biological traits and ecological interactions is vital for understanding geometrid dynamics.
- Near-term ecological forecasting can provide accurate predictions and mechanistic insights for forest geometrid management.
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