Litter decomposition: effects of temperature driven by soil moisture and vegetation type

Petraglia, Alessandro; Cacciatori, Cecilia; Chelli, Stefano; Fenu, Giuseppe; Calderisi, Giulia; Gargano, Domenico; Abeli, Thomas; Orsenigo, Simone; Carbognani, Michele

doi:10.1007/s11104-018-3889-x

Cited by 134 publications

(94 citation statements)

References 48 publications

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“…These studies suggest that modifying stand conditions could result in complex influences on the amount of litter. Recently, Petraglia et al (2018) reported that litter quality not only shows the strongest relationship with early litter decomposition dynamics, but it also regulates the impact of water availability on mass loss. Conversely, the discrepancies in litter properties at different decomposition stages may also result in variability of litter amount.…”

Section: Introductionmentioning

confidence: 99%

“…Conversely, the discrepancies in litter properties at different decomposition stages may also result in variability of litter amount. Recently, Petraglia et al (2018) reported that litter quality not only shows the strongest relationship with early litter decomposition dynamics, but it also regulates the impact of water availability on mass loss. Owing to all the correlative factors, considerable uncertainties remain in the prediction of spatial variability in litter amount.…”

Section: Introductionmentioning

confidence: 99%

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Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation

Qin

Wang

Lei

et al. 2019

Ecology and Evolution

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Litter is essential to promote nutrient cycling and maintain the sustainability of forest resources. However, its variability has not been sufficiently studied at the local scale.The prediction of litter amount using ordinary cokriging with Pearson correlation analysis (COK P ) and ordinary cokriging with principal component analysis (COK PCA ) was compared with that using ordinary kriging (OK) based on cross-validation at the local scale of a 1-ha plot over natural spruce-fir mixed forest in Jilin Province, China.Litter samples in semidecomposed (F) and complete decomposed (H) horizons were collected using an equidistant grid point sampling of 10 m × 10 m. Pearson correlation analysis and principal component analysis (PCA) were used to confirm auxiliary variables. The results showed that the amount of litter was 19.65 t/ha in the F horizon and 10.37 t/ha in the H horizon. The spatial structure variance ratio in the H horizon was smaller than that in the F horizon, indicative of its stronger spatial autocorrelation. Spatial distributions of litter amount in both horizons exhibited a patchy and heterogeneous pattern. Of the selected stand characteristics and litter properties, litter moisture content indicated the strongest relationship with litter amount. Cross-validation revealed that COK PCA using the comprehensive score as an auxiliary variable produced the most accurate map. The average standard error and root-mean-square error between the predicted and measured values were always smaller, the mean error and mean standardized error were much closer to 0, and the root-mean-square standardized error was closer to 1 than COK P using litter moisture and OK. Therefore, a clear advantage of cokriging based on principal component analysis was observed and COK PCA was found to be a very useful approach for further interpolation prediction. K E Y W O R D S cokriging, kriging, litter amount, principal component analysis | 779 QIN et al.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation

Qin

Wang

Lei

et al. 2019

Ecology and Evolution

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“…This effect can be related with the increased penetration of light into the forest, which can in uence microclimatic factors such as temperatures at the soil level, increasing litter decomposition (Ottermanns et al 2011;Mayer et al 2017). Higher soil temperatures can reduce the stabilization factor S independently of soil moisture (Petraglia et al 2019). Our study showed that even at a small spatial scale within the same forest, differences in forest structure can in uence the stabilization factor.…”

Section: Discussionmentioning

confidence: 64%

“…Local differences in the biomass of deposited litter could promote heterogeneity in decomposer activity (Lajtha et al 2018;Silva-Sánchez et al 2019). Further, higher forest strati cation can provide higher radiation input, increasing temperatures and reducing soil moisture (Yeong et al 2016), factors that can also in uence decomposition rates (Petraglia et al 2019).…”

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confidence: 99%

Decomposition and stabilization of the organic matter in an old-growth tropical riparian forest: effects of soil properties and vegetation structure

Fernandes

Souza

Tanaka

et al. 2020

Preprint

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Background: Nutrient cycling in tropical forests has large importance for primary productivity, and decomposition of litterfall is a major process influencing nutrient balance in forest soils. Although large-scale factors strongly influence decomposition patterns, small-scale factors can have major influences, especially in old-growth forests that have high structural complexity and strong plant-soil correlations. We evaluated decomposition rates and stabilization of soil organic matter using the Tea Bag Index in an old-growth riparian forest in southeastern Brazil to evaluate the effects of forest structure and soil properties on decomposition processes. These data sets were described separately using Principal Components Analysis (PCA). The main axes for each analysis, together with soil physical properties (clay content and soil moisture), were used to construct different structural equations models that evaluated the different parameters of the TBI, decomposition rates and stabilization factor. The best model was selected using Akaike’s criterion.Results: Forest structure and soil physical and chemical properties presented large variation among plots within the studied forest. Clay content was strongly correlated with soil moisture and the first PCA axis of soil chemical properties, and model selection indicated that clay content was a better predictor than this axis. Decomposition rates presented a large variation among tea bags (0.009 and 0.098 g g-1 day-1) and were positively related with forest structure, as characterized by higher basal area, larger trees, and tree density. The stabilization factor varied between 0.211 – 0.426 and was related to forest stratification and soil clay content. Conclusions: The old-growth forest studied presented high heterogeneity in both forest structure and soil properties at small spatial scales, that influenced decomposition processes and probably contributed to small-scale variation in nutrient cycling. Decomposition rates were only influenced by forest structure, whereas the stabilization factor was influenced by both forest structure and soil properties. Heterogeneity in ecological processes can contribute to the resilience of old-growth forests, highlighting the importance of restoration strategies focused on the spatial variation of ecosystem processes.

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“…The structure of the vegetation directly in uences the microclimate conditions, hydrological movements, and soil properties (Krishna and Mohan 2017;Bélanger et al 2019). For example, higher forest strati cation can provide higher radiation input, increasing temperatures and reducing soil moisture (Yeong et al 2016), which are positively related with decomposition rates (Petraglia et al 2019). Further, forests with more developed canopies and higher tree density produce more leaf litter, and this greater input can promote local microbial activity (Nunes and Pinto 2007;Silva-Sánchez et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Decomposition and stabilization of the organic matter in an old-growth tropical riparian forest: effects of soil properties and vegetation structure

Fernandes

Souza

Tanaka

et al. 2020

Preprint

View full text Add to dashboard Cite

Background: Nutrient cycling in tropical forests has large importance for primary productivity, and decomposition of litterfall is a major process influencing nutrient balance in forest soils. Although large-scale factors strongly influence decomposition patterns, small-scale factors can have major influences, especially in old-growth forests that have high structural complexity and strong plant-soil correlations. Methods: We evaluated decomposition rates and stabilization of soil organic matter using the Tea Bag Index in an old-growth riparian forest in southeastern Brazil. We buried 50 pairs of green and red tea at two distances from the watercourse to evaluate the effects of forest structure and soil properties on decomposition processes. Forest structure and soil properties were described using Principal Components Analysis (PCA). The main axes for each analysis were considered predictors of decomposition processes using a structural equations model.Results: Decomposition rates presented a large variation among tea bags and were positively correlated with forest structure, as characterized by higher basal area, larger trees, and tree density. Higher decomposition rates were probably correlated with higher litter production and microbial activity. On the other hand, stabilization factor was related mainly to soil chemical properties, with higher values with increased soil fertility as indicated by the PCA axes. Further analyses evaluated the effects of clay content, soil moisture, soil organic matter, soil base saturation, and soil fertility as predictors of the stabilization factor. These predictors were highly correlated, but clay content was the best predictor, explaining 79% of the variation among plots. Conclusions: These results showed that this old-growth forest presented high heterogeneity in both forest structure and soil properties at small spatial scales, that influenced decomposition processes and contributed to small-scale variation in nutrient cycling. Heterogeneity in ecological processes can contribute to the resilience of old-growth forests, strengthening ecosystem functions such as nutrient cycling and carbon fixation, and highlighting the importance of restoration strategies focused in the recovery of ecosystem processes

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Litter decomposition: effects of temperature driven by soil moisture and vegetation type

Cited by 134 publications

References 48 publications

Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation

Spatial variability in the amount of forest litter at the local scale in northeastern China: Kriging and cokriging approaches to interpolation

Decomposition and stabilization of the organic matter in an old-growth tropical riparian forest: effects of soil properties and vegetation structure

Decomposition and stabilization of the organic matter in an old-growth tropical riparian forest: effects of soil properties and vegetation structure

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