Nonlinear Responses of Chemodiversity to Total Organic Carbon Content in Lake Sediments

Abstract Lake littoral sediments are critical carbon cycle hotspots that bridge terrestrial and aquatic ecosystems. The chemodiversity of dissolved organic matter (DOM) in these sediments reflects ecosystem multifunctionality, particularly regarding carbon storage. However, the relationship between DOM chemodiversity and sediment total organic carbon (TOC) content, a critical quality‐quantity nexus, remains poorly understood. Here, we evaluated both linear and threshold models to characterize this relationship across 63 freshwater ecosystems spanning a 31° latitudinal gradient. DOM chemodiversity showed nonlinear responses to sediment TOC content, with critical thresholds identified between 1.0% and 1.8% for alpha diversity, compound abundance, functional traits, and functional diversity, and 1.7% for DOM composition. DOM diversity metrics increased with TOC content before these thresholds and plateaued thereafter, indicating post‐threshold saturation of chemodiversity. Across these transition points, the predominant influence of sediment TOC on DOM chemodiversity declined, while the importance of bacterial compositional dissimilarity increased. Structural equation modeling further suggested that external organic carbon inputs dominated before the thresholds, while in‐lake processes became more important thereafter. Overall, this study challenges the conventional assumption of a positive correlation between chemodiversity and carbon quantity, highlighting the need to incorporate nonlinear dynamics into future carbon cycle models for freshwater ecosystems.

Authors

Institutions

Publication Details

Journal
Global Biogeochemical Cycles
Published
2026-10-31
DOI
https://doi.org/10.1029/2026gb009269
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nonlinear Responses of Chemodiversity to Total Organic Carbon Content in Lake Sediments

Kyoung‐Soon Jang, Shuailong Wen, Ang Hu, Jianjun Wang et al.
Global Biogeochemical Cycles
Marine and coastal ecosystems
article

Nonlinear Responses of Chemodiversity to Total Organic Carbon Content in Lake Sediments

Kyoung‐Soon Jang, Shuailong Wen, Ang Hu, Jianjun Wang, Yifan Cui, Lei Han
article en

Abstract

Abstract Lake littoral sediments are critical carbon cycle hotspots that bridge terrestrial and aquatic ecosystems. The chemodiversity of dissolved organic matter (DOM) in these sediments reflects ecosystem multifunctionality, particularly regarding carbon storage. However, the relationship between DOM chemodiversity and sediment total organic carbon (TOC) content, a critical quality‐quantity nexus, remains poorly understood. Here, we evaluated both linear and threshold models to characterize this relationship across 63 freshwater ecosystems spanning a 31° latitudinal gradient. DOM chemodiversity showed nonlinear responses to sediment TOC content, with critical thresholds identified between 1.0% and 1.8% for alpha diversity, compound abundance, functional traits, and functional diversity, and 1.7% for DOM composition. DOM diversity metrics increased with TOC content before these thresholds and plateaued thereafter, indicating post‐threshold saturation of chemodiversity. Across these transition points, the predominant influence of sediment TOC on DOM chemodiversity declined, while the importance of bacterial compositional dissimilarity increased. Structural equation modeling further suggested that external organic carbon inputs dominated before the thresholds, while in‐lake processes became more important thereafter. Overall, this study challenges the conventional assumption of a positive correlation between chemodiversity and carbon quantity, highlighting the need to incorporate nonlinear dynamics into future carbon cycle models for freshwater ecosystems.

Global Biogeochemical CyclesVol. 40(11)
Chinese Academy of Sciences (CN), Nanjing Institute of Geography and Limnology (CN), Korea Basic Science Institute (KR), University of Chinese Academy of Sciences (CN), Ocean University of China (CN)
Openalex Percentile: Top 17%
Marine and coastal ecosystems
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