4.7 Article

Linking microbial community composition to C loss rates during wood decomposition

Journal

SOIL BIOLOGY & BIOCHEMISTRY
Volume 104, Issue -, Pages 108-116

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.soilbio.2016.10.017

Keywords

Wood decomposition; Carbon molecular structure; Microbial community; PLFA; Wood moisture; Decay rate; Cunninghamia lanceolata

Categories

Funding

  1. National Natural Science Foundation of China [41371269, 31625007, 31570604]
  2. National 973 Program of China [2014CB954002]
  3. China Scholarship Council [201506100166]
  4. US Department of Energy's Next Generation Ecosystem Experiment-Tropics

Ask authors/readers for more resources

Although decaying wood plays an important role in global carbon (C) cycling, how changes in microbial community are related to wood C quality and then affect wood organic C loss during wood decomposition remains unclear. In this study, a chronosequence method was used to examine the relationships between wood C loss rates and microbial community compositions during Chinese fir (Cunninghamia lanceolata) stump decomposition. Our results showed that microbial community shifted from fungi dominated at early stages (0-15 years) to relatively more bacteria-dominated at later stages (15-35 years) of wood decomposition. Fungal phospholipid fatty acid (PLFA) content primarily explained wood C loss rates at early stages of wood decomposition. Fungal biomass was positively correlated with proportions of relatively high-quality C (e.g., O-alkyl C), but bacterial biomass was positively correlated with low-quality C. In addition, fungi appeared to be the dominated community under low wood moisture (<20%) at early stages, but fungal biomass tended to decrease and bacterial biomass increased with increasing wood moisture at later stages. Our findings suggest that the fungal community is the dominant decomposer of wood at early stages and may be positively influenced by relatively high quality wood C and low wood moisture. Bacterial community may benefited from low-quality wood C and high wood moisture at later stages. Enhanced understanding of microbial responses to wood quality and environment is important to improve predictions in wood decomposition models. (C) 2016 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available