Hydrilla-derived organic matter dominates sediment nitrogen mineralization in Poyang Lake

The unique hydrological regime of Poyang Lake creates pronounced spatial heterogeneity in sediment organic matter. Variation in source contributions and composition drives differences in nitrogen mineralization and ammonium immobilization, yet the mechanisms remain poorly understood. This study quantified gross nitrogen mineralization (GNM), gross ammonium immobilization (GAI), and net nitrogen mineralization (NNM) across Lake, Inlet, and Mudflat zones during the dry season. Strong spatial variation was observed: GNM ranged from 0.10 to 2.59 mg N kg<sup>-1</sup> d<sup>-1</sup>, GAI from 0.08 to 2.19 mg N kg<sup>-1</sup> d<sup>-1</sup>, and NNM from -0.11 to 1.28 mg N kg<sup>-1</sup> d<sup>-1</sup>. GNM and GAI were highest in the Mudflats, whereas NNM peaked in the Inlet. A Bayesian isotope mixing model indicated that hydrilla-derived organic matter was the primary contributor to nitrogen mineralization in Mudflats. Multiple regression and structural equation modeling identified distinct controls for each transformation rate: sediment temperature governed GNM under cold conditions, while DOM quality indicators (e.g., C3, C:N, a(254)) were strongly associated with all three rates. Notably, a multiple regression model including C3, TOC, and a(254) explained 93.3 % of the variance in GNM. These results highlight the central role of autochthonous macrophyte-derived organic matter in regulating sediment nitrogen cycling, offering insights into internal nutrient dynamics and guiding targeted lake management.

Authors

Institutions

Publication Details

Journal
Journal of Environmental Management
Published
2025-09-12
DOI
https://doi.org/10.1016/j.jenvman.2025.127249
Citations
1
Primary Topic
Geochemistry and Elemental Analysis
Type
article
Field-Weighted Citation Impact
1.34
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hydrilla-derived organic matter dominates sediment nitrogen mineralization in Poyang Lake

Hong Yan, Caixia Kang, Zijian Zhu
1 citations
Journal of Environmental Management
Geochemistry and Elemental Analysis
1.34
article

Hydrilla-derived organic matter dominates sediment nitrogen mineralization in Poyang Lake

Hong Yan, Caixia Kang, Zijian Zhu
article en
1 citations

Abstract

The unique hydrological regime of Poyang Lake creates pronounced spatial heterogeneity in sediment organic matter. Variation in source contributions and composition drives differences in nitrogen mineralization and ammonium immobilization, yet the mechanisms remain poorly understood. This study quantified gross nitrogen mineralization (GNM), gross ammonium immobilization (GAI), and net nitrogen mineralization (NNM) across Lake, Inlet, and Mudflat zones during the dry season. Strong spatial variation was observed: GNM ranged from 0.10 to 2.59 mg N kg<sup>-1</sup> d<sup>-1</sup>, GAI from 0.08 to 2.19 mg N kg<sup>-1</sup> d<sup>-1</sup>, and NNM from -0.11 to 1.28 mg N kg<sup>-1</sup> d<sup>-1</sup>. GNM and GAI were highest in the Mudflats, whereas NNM peaked in the Inlet. A Bayesian isotope mixing model indicated that hydrilla-derived organic matter was the primary contributor to nitrogen mineralization in Mudflats. Multiple regression and structural equation modeling identified distinct controls for each transformation rate: sediment temperature governed GNM under cold conditions, while DOM quality indicators (e.g., C3, C:N, a(254)) were strongly associated with all three rates. Notably, a multiple regression model including C3, TOC, and a(254) explained 93.3 % of the variance in GNM. These results highlight the central role of autochthonous macrophyte-derived organic matter in regulating sediment nitrogen cycling, offering insights into internal nutrient dynamics and guiding targeted lake management.

Journal of Environmental ManagementVol. 393
East China Jiaotong University (CN), Nanjing Institute of Geography and Limnology (CN)
Openalex Percentile: Top 17%
Geochemistry and Elemental Analysis
1.34
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.