Edge effects on moisture reduce wood decomposition rate in a temperate forest

2014 ◽  
Vol 21 (2) ◽  
pp. 698-707 ◽  
Author(s):  
Martha E. Crockatt ◽  
Daniel P. Bebber
Keyword(s):  
Edge Effects ◽  
Decomposition Rate ◽  
Temperate Forest ◽  
Wood Decomposition

scholarly journals A trait-based understanding of wood decomposition by fungi

2020 ◽  
Vol 117 (21) ◽  
pp. 11551-11558 ◽  
Author(s):  
Nicky Lustenhouwer ◽  
Daniel S. Maynard ◽  
Mark A. Bradford ◽  
Daniel L. Lindner ◽  
Brad Oberle ◽  
...  
Keyword(s):  
North America ◽  
Decomposition Rate ◽  
Extracellular Enzymes ◽  
Terrestrial Ecosystems ◽  
Extension Rate ◽  
Wood Decomposition ◽  
Decomposition Rates ◽  
Fungal Community Composition ◽  
Saprotrophic Fungi ◽  
Trade Off

As the primary decomposers of organic material in terrestrial ecosystems, fungi are critical agents of the global carbon cycle. Yet our ability to link fungal community composition to ecosystem functioning is constrained by a limited understanding of the factors accounting for different wood decomposition rates among fungi. Here we examine which traits best explain fungal decomposition ability by combining detailed trait-based assays on 34 saprotrophic fungi from across North America in the laboratory with a 5-y field study comprising 1,582 fungi isolated from 74 decomposing logs. Fungal growth rate (hyphal extension rate) was the strongest single predictor of fungal-mediated wood decomposition rate under laboratory conditions, and accounted for up to 27% of the in situ variation in decomposition in the field. At the individual level, decomposition rate was negatively correlated with moisture niche width (an indicator of drought stress tolerance) and with the production of nutrient-mineralizing extracellular enzymes. Together, these results suggest that decomposition rates strongly align with a dominance-tolerance life-history trade-off that was previously identified in these isolates, forming a spectrum from slow-growing, stress-tolerant fungi that are poor decomposers to fast-growing, highly competitive fungi with fast decomposition rates. Our study illustrates how an understanding of fungal trait variation could improve our predictive ability of the early and midstages of wood decay, to which our findings are most applicable. By mapping our results onto the biogeographic distribution of the dominance-tolerance trade-off across North America, we approximate broad-scale patterns in intrinsic fungal-mediated wood decomposition rates.

Effect of forest thinning and wood quality on the short-term wood decomposition rate in a Pinus tabuliformis plantation

2018 ◽  
Vol 131 (6) ◽  
pp. 897-905 ◽  
Author(s):  
Weiwei Wang ◽  
Deborah Page-Dumroese ◽  
Martin Jurgensen ◽  
Joanne Tirocke ◽  
Yong Liu
Keyword(s):  
Decomposition Rate ◽  
Wood Quality ◽  
Wood Decomposition ◽  
Short Term ◽  
Forest Thinning ◽  
Pinus Tabuliformis

scholarly journals The wood decomposition system and community diversity of fungi

2021 ◽  
pp. 13
Author(s):  
Keyword(s):  
Carbon Cycle ◽  
Fungal Community ◽  
Decomposition Rate ◽  
Arima Model ◽  
Community Diversity ◽  
Wood Decomposition ◽  
Fungal Community Composition ◽  
Advantages And Disadvantages ◽  
The Impact ◽  
Decomposition System

Fungi are critical agents of the global carbon cycle, however, our ability to link fungal community composition to ecosystem functioning is constrained by a limited understanding the wood decomposition rates of fungus. Here we examined the wood decomposition rate of fungus and the impact of fungal community diversity on the wood decomposing. To understand the relationship between the wood decomposition rate and the traits of fungi, we introduced 37 types of fungus into the wood decomposition system and set the growth rate and moisture tolerance of fungus as the explanatory variables. In addition, we constructed the competition, parasitic and symbiotic model based on Malthus-block growth comprehensive to analyze and predict the interactions between different fungus. The entropy weight-TOPSIS model was established to understand the biodiversity of fungus and obtain the relative dominance degree which can reflect the advantages and disadvantages of different fungus. The ARIMA model was used in five different environments to predict the impact of fungal community diversity on the overall efficiency of wood decomposing. Our research can not only help us to better understand the fungus community, but also significant for improving the quality of climate and the carbon cycle.

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