Mycorrhiza‐dependent drivers of the positive rhizosphere effects on the temperature sensitivity of soil microbial respiration in subtropical forests

Abstract Tree roots and their fungal symbionts mediate the response of rhizosphere soil organic carbon (SOC) decomposition to climate warming, specifically the temperature sensitivity of soil microbial respiration ( Q 10 ), which is a critical parameter for projecting the magnitude of terrestrial soil C‐climate feedbacks. However, the intensity of the rhizosphere effects (RE; rhizosphere soils vs. bulk soils) on Q 10 in forest soils associated with different mycorrhizal groups and their seasonal dynamics are poorly understood. Here, we selected nine tree species associated with either arbuscular mycorrhizal (AM) or ectomycorrhizal (EM) fungi in subtropical forests of China and collected bulk soil and rhizosphere soil in both the warm and cold seasons to explore the RE on Q 10 , respectively. Our results showed a positive RE on Q 10 (ranging from 20.1% to 87.5%) for all tree species, independent of the season. For EM tree species, the RE on Q 10 was 64.5% higher in the warm season and 44.4% higher in the cold season, compared with AM tree species. The RE on Q 10 of AM and EM tree species was 44.8% and 65.0% larger in the warm season than that in the cold season, respectively. Fine root traits (including biomass, the carbon‐to‐nitrogen ratio, and soluble sugar content) predominantly controlled the RE on Q 10 in AM‐dominated forests, whereas the RE on soil properties (such as and C availability) dominantly governed the RE on Q 10 in EM‐dominated forests. Furthermore, the RE on Q 10 was also positively correlated with the RE on soil microbial phospholipid fatty acids in both AM‐ and EM‐dominated forests. These findings suggest that rhizosphere soils in EM‐dominated forests are more susceptible to C losses under climate warming than those in AM‐dominated forests, compared with their respective bulk soils, potentially limiting rhizosphere SOC sequestration. The greater vulnerability of EM‐dominated forests underscores the importance of accounting for root–soil interactions, mycorrhizal associations, and seasonal dynamics in C‐climate models to improve predictions of SOC cycling and its feedback to global warming. Read the free Plain Language Summary for this article on the Journal blog.

Authors

Institutions

Publication Details

Journal
Functional Ecology
Published
2024-12-23
DOI
https://doi.org/10.1111/1365-2435.14728
Citations
2
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
0.67

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mycorrhiza‐dependent drivers of the positive rhizosphere effects on the temperature sensitivity of soil microbial respiration in subtropical forests

Nadejda A. Soudzilovskaia, Peng Tian, Xuechao Zhao, François Maillard et al.
2 citations
Functional Ecology
Soil Carbon and Nitrogen Dynamics
0.67
article

Mycorrhiza‐dependent drivers of the positive rhizosphere effects on the temperature sensitivity of soil microbial respiration in subtropical forests

Nadejda A. Soudzilovskaia, Peng Tian, Xuechao Zhao, François Maillard, Zhaolin Sun, Qingkui Wang, Shengen Liu
article en
2 citations

Abstract

Abstract Tree roots and their fungal symbionts mediate the response of rhizosphere soil organic carbon (SOC) decomposition to climate warming, specifically the temperature sensitivity of soil microbial respiration ( Q 10 ), which is a critical parameter for projecting the magnitude of terrestrial soil C‐climate feedbacks. However, the intensity of the rhizosphere effects (RE; rhizosphere soils vs. bulk soils) on Q 10 in forest soils associated with different mycorrhizal groups and their seasonal dynamics are poorly understood. Here, we selected nine tree species associated with either arbuscular mycorrhizal (AM) or ectomycorrhizal (EM) fungi in subtropical forests of China and collected bulk soil and rhizosphere soil in both the warm and cold seasons to explore the RE on Q 10 , respectively. Our results showed a positive RE on Q 10 (ranging from 20.1% to 87.5%) for all tree species, independent of the season. For EM tree species, the RE on Q 10 was 64.5% higher in the warm season and 44.4% higher in the cold season, compared with AM tree species. The RE on Q 10 of AM and EM tree species was 44.8% and 65.0% larger in the warm season than that in the cold season, respectively. Fine root traits (including biomass, the carbon‐to‐nitrogen ratio, and soluble sugar content) predominantly controlled the RE on Q 10 in AM‐dominated forests, whereas the RE on soil properties (such as and C availability) dominantly governed the RE on Q 10 in EM‐dominated forests. Furthermore, the RE on Q 10 was also positively correlated with the RE on soil microbial phospholipid fatty acids in both AM‐ and EM‐dominated forests. These findings suggest that rhizosphere soils in EM‐dominated forests are more susceptible to C losses under climate warming than those in AM‐dominated forests, compared with their respective bulk soils, potentially limiting rhizosphere SOC sequestration. The greater vulnerability of EM‐dominated forests underscores the importance of accounting for root–soil interactions, mycorrhizal associations, and seasonal dynamics in C‐climate models to improve predictions of SOC cycling and its feedback to global warming. Read the free Plain Language Summary for this article on the Journal blog.

Functional EcologyVol. 39(2)
Anhui Agricultural University (CN), Lund University (SE), Institute of Applied Ecology (CN), Guangxi Zhuang Autonomous Region Health and Family Planning (CN), Fujian Agriculture and Forestry University (CN), Hasselt University (BE)
National Natural Science Foundation of China, Natural Science Foundation of Anhui Province, National Key Research and Development Program of China
Life in Land
Openalex Percentile: Top 25%
Soil Carbon and Nitrogen Dynamics
0.67
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.