Archival and palaeoenvironmental documentation of extreme climate events reveals generational amnesia in collective memory

Abstract Collective memory shapes how societies respond to extreme climate events, yet long-term evidence on how the collective memory of such events becomes perceptually biased over time is lacking. Here, we utilise four centuries (1470–1900) of climatic archives from northern China, along with tree–ring–based hydroclimate reconstructions, which are validated against instrumental observations of Wet/Dry Index (1901–2000) to fill the gap. We find that historical records reveal systematic, non-random mismatches, where severity assessments are often biased toward recent experience rather than absolute climatic anomalies. Correlations between historical and natural records increase when the natural series is re-standardised using 20–40-year sliding windows, reflecting a generational offset. A heuristic agent-based model reproduces this pattern, suggesting that generational amnesia is sufficient to explain the offsets in perception of environmental change. We argue that historical archives carry a generational imprint of perceptual bias, in which the severity of climate extremes is judged against recent lived experience rather than long-term climate variability. This has implications for bias-aware corrections for risk assessment, adaptation, and paleoclimate reconstruction.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-11-09
DOI
https://doi.org/10.1038/s41467-026-78922-x
Primary Topic
Tree-ring climate responses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Archival and palaeoenvironmental documentation of extreme climate events reveals generational amnesia in collective memory

Xutong Wu, Victor Lery Caetano Andrade, Shuai Wang, Patrick Roberts et al.
Nature Communications
Tree-ring climate responses
article

Archival and palaeoenvironmental documentation of extreme climate events reveals generational amnesia in collective memory

Xutong Wu, Victor Lery Caetano Andrade, Shuai Wang, Patrick Roberts, Robert Middeke-Conlin, David Max Findley, Yuda Yang, Shuang Song, Bo Hu, Jürgen Renn, Wei Liu
article en

Abstract

Abstract Collective memory shapes how societies respond to extreme climate events, yet long-term evidence on how the collective memory of such events becomes perceptually biased over time is lacking. Here, we utilise four centuries (1470–1900) of climatic archives from northern China, along with tree–ring–based hydroclimate reconstructions, which are validated against instrumental observations of Wet/Dry Index (1901–2000) to fill the gap. We find that historical records reveal systematic, non-random mismatches, where severity assessments are often biased toward recent experience rather than absolute climatic anomalies. Correlations between historical and natural records increase when the natural series is re-standardised using 20–40-year sliding windows, reflecting a generational offset. A heuristic agent-based model reproduces this pattern, suggesting that generational amnesia is sufficient to explain the offsets in perception of environmental change. We argue that historical archives carry a generational imprint of perceptual bias, in which the severity of climate extremes is judged against recent lived experience rather than long-term climate variability. This has implications for bias-aware corrections for risk assessment, adaptation, and paleoclimate reconstruction.

Nature CommunicationsVol. 17(1)
Fudan University (CN), Beijing Normal University (CN), Max Planck Institute for the History of Science (DE), Max Planck Institute for the Science of Human History (DE), Friedrich Schiller University Jena (DE), Nanjing University (CN)
Tree-ring climate responses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon