Warmer environments harbor greater thermal trait diversity in moth assemblages

M Ming Liu T Tzu-Man Hung S Shipher Wu M Mark Liu G Guan-Shuo Mai Y Yi-Shin Jang C Chien-Chen Huang C Chun-Yung Hsu C Chia-Hsuan Wei M Mao-Ning Tuanmu S Shih-Fan Chan I I-Ching Chen (Department of Life Sciences, National Cheng Kung University) S Sheng-Feng Shen

Abstract

Abstract Thermal trait diversity is critical for understanding species’ responses to climate change, yet its ecological drivers remain unclear. Using eco-evolutionary simulations and empirical data from 653 moth species across three Asian elevational gradients, we examine how temperature regimes shape thermal strategies in assemblages. Warmer environments support larger hypervolumes of moth assemblages, reflecting a broader array of coexisting thermal strategies. Contrary to the climatic variability hypothesis, which predicts generalized traits under stable climates, we find that warmer sites foster assemblage-level diversity even while individual species retain narrow thermal tolerance ranges. Short-term temperature fluctuations exert minimal influence, while seasonal variability promotes generalists but reduces overall hypervolume. These results demonstrate that mean temperature, not variability, is the dominant force structuring thermal trait diversity. By revealing how thermal strategies assemble under different climates, our study provides a mechanistic basis for predicting biodiversity responses to warming and emphasizes the conservation value of low-elevation ecosystems.

Article Details

Volume / Issue Vol. 17, Issue 1
Published December 11, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (13)

M

Ming Liu

T

Tzu-Man Hung

S

Shipher Wu

M

Mark Liu

G

Guan-Shuo Mai

Y

Yi-Shin Jang

C

Chien-Chen Huang

C

Chun-Yung Hsu

C

Chia-Hsuan Wei

M

Mao-Ning Tuanmu

S

Shih-Fan Chan

I

I-Ching Chen

Department of Life Sciences, National Cheng Kung University

S

Sheng-Feng Shen