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Climate change impacts on ecosystem functioning: evidence from an Empetrum heathland
Elizabeth S Jeffers1,2, Michael B Bonsall3, Jenny E Watson4
1Long Term Ecology Laboratory, School of Geography and the Environment, University of Oxford, Oxford OX1 3QY, UK.
Plant communities can shift ecosystem functions, like fire activity and herbivory, due to climate warming. These changes impact plant dominance and ecosystem resilience.
Area of Science:
- Ecology
- Paleoecology
- Climate Change Science
Background:
- The influence of plants on ecosystem processes (e.g., nitrogen cycling, fire regimes) and their dependence on environmental conditions remain poorly understood.
- Investigating plant-environment interactions is crucial for understanding ecosystem dynamics and resilience.
Purpose of the Study:
- To determine the functional relationships between Empetrum (crowberry) and Betula (birch) and millennial-scale changes in climate, fire, nitrogen cycling, and herbivory in an Irish heathland.
- To model plant-environment interactions using mechanistic models and palaeoecological data.
Main Methods:
- Application of mechanistic models of plant-environment interactions.
- Analysis of palaeoecological time series data from an Irish heathland.
- Quantification of relationships between plant populations (Empetrum, Betula) and environmental factors (climate, fire, nitrogen, herbivores).
Main Results:
- Herbivory and fire preferentially impacted Betula, while Empetrum positively fed back on fire activity.
- Climate warming favored Betula expansion due to its higher temperature-dependent growth rate, leading to reduced fire activity and increased herbivory.
- Nitrogen cycling showed limited control by plant population dynamics.
Conclusions:
- Differential responses of plant populations to warming can drive shifts to alternative community states with altered ecosystem functioning.
- Self-reinforcing feedback mechanisms in plant communities may be vulnerable to climate warming, especially in arctic regions.
- Understanding plant-climate feedbacks is essential for predicting future ecosystem changes.
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