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Updated: Jan 6, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
Published on: October 1, 2011
Reduced body sizes in climate-impacted Borneo moth assemblages are primarily explained by range shifts
Chung-Huey Wu1, Jeremy D Holloway2, Jane K Hill3
1Institute of Ecology and Evolutionary Biology, National Taiwan University, Taipei City, Taiwan.
Climate warming caused tropical moths to shrink in size. Species moving to higher elevations (range shifts) were the primary driver of this size reduction, more so than individual species shrinking.
Area of Science:
- Ecology
- Climate Change Biology
- Zoology
Background:
- Climate warming drives changes in species distribution and physiology.
- These changes can impact community body-size structures.
- Tropical ecosystems are particularly vulnerable to climate shifts.
Purpose of the Study:
- To assess the relative contribution of species redistribution and within-species size changes to community body-size restructuring.
- To investigate how climate warming affects tropical moth assemblages.
- To quantify the impact of range shifts versus physiological changes on body size.
Main Methods:
- Resurvey data from 1965 and 2007 for geometrid moth assemblages on Mt. Kinabalu, Borneo.
- Analysis of over 8000 individual moth wing lengths.
- Quantification of species range shifts and within-species size changes.
Main Results:
- Significant mean wing-length reduction observed across moth species (1.3% per species).
- Overall community mean forewing length decreased by approximately 5%.
- Species range boundary shifts were the dominant factor (3.9%), followed by within-boundary changes (0.5%) and within-species shrinkage (0.6%).
Conclusions:
- Range shifting of species is the predominant driver of body-size reorganization in tropical moth communities under warming.
- While species redistribution is key, physiological responses (within-species size changes) also contribute to community size shifts.
- Understanding both factors is crucial for predicting ecological responses to climate change.
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