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Looking across Scales in Disease Ecology and Evolution
The American Naturalist
|January 3, 2022
Summary
Ecological and evolutionary dynamics are shaped by processes across multiple scales. Understanding these interconnected scales is crucial for disease ecology and evolution research.
Area of Science:
- Ecology and Evolutionary Biology
- Disease Ecology
- Theoretical Ecology
Background:
- Ecological and evolutionary dynamics are influenced by processes operating across various spatial and temporal scales.
- The interplay between small-scale processes and large-scale dynamics is significant, impacting ecosystem functions and evolutionary trajectories.
- Historically, evolution was viewed as a long-timescale process, but it significantly influences ecological dynamics and vice versa.
Purpose of the Study:
- To highlight the importance of considering multiple scales in ecological and evolutionary studies.
- To demonstrate the value of interdisciplinary research spanning different scales.
- To introduce a focused collection of articles addressing scale-dependent dynamics in disease ecology and evolution.
Main Methods:
- Review of previously published articles within the journal over three decades.
- Analysis of studies demonstrating the benefits of cross-scale research.
- Introduction of new systems, theories, and methods presented in the focused topic section.
Main Results:
- Characterizing the specific scales of individual studies presents a significant challenge.
- Research spanning a spectrum of scales yields unique insights not obtainable from a narrow focus.
- The focused topic articles collectively offer novel perspectives through integrated approaches.
Conclusions:
- Integrating insights across diverse spatial and temporal scales is essential for advancing ecological and evolutionary understanding.
- Cross-scale research in disease ecology and evolution provides critical insights unattainable from single-scale studies.
- The presented articles offer valuable systems, theory, and methods for future scale-spanning research.
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