Spatial heterogeneity and affecting factors of litter organic carbon and total nitrogen over natural spruce-fir mixed forests in northeastern China

Qin, Qianqian; Wang, Haiyan; Li, Xiang; Xie, Yifei; Lei, Xiangdong; Zheng, Yonglin; Yang, Dandan; Wang, Fuzeng

doi:10.1016/j.catena.2018.11.020

Cited by 20 publications

(7 citation statements)

References 41 publications

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“…In this study, there was no significant difference in total litter mass among the three P. massoniana forest stands ( p > 0.05), but the total litter mass was higher in a P. massoniana forest than in the two mixed stands (Table 3), which is consistent with reports that litter mass is not significantly different between coniferous forests and coniferous-deciduous broadleaf mixed forests in subtropical China (Bai et al, 2021;Zhang et al, 2022). In addition, litter mass is dominated by the semi-decomposed layer (debris) (Chen et al, 2018;Qin et al, 2019;Victor et al, 2001), which was also confirmed by this study. This may due to the fact that at the early stage of decomposition, soluble substances (such as amino acids, organic acids, and sugars) are leached and degraded by water, resulting in a high decomposition rate (Wang et al, 2009).…”

Section: The Maximum Lwhcsupporting

confidence: 87%

“…The forest litter layer can intercept 10%–20% of natural precipitation, which reduces the infiltration rate of rainwater, thereby preventing runoff and erosion on the soil surface (Giácomo, 2017; Su & Liu, 2022). Therefore, the litter layer plays an important ecological role in forest soil formation and protection, material circulation, and energy flow (Da Silva et al, 2018; Qin et al, 2019; Uri et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

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Tree species composition affects litter eco‐hydrological function in Pinus massoniana conifer‐broadleaf mixed forest stands in southwest China

Tang,

Xu,

Wang

et al. 2024

Hydrological Processes

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Although changes in tree species composition profoundly affect the structure, function, and processes of mixed forest ecosystems, there is limited knowledge on the effects of these changes on the hydrological functions of the litter layer in Pinus massoniana conifer‐broadleaf mixed forests in subtropical mountains. Here, we investigated three typical P. massoniana forest stands in southwest China: P. massoniana‐Liquidambar formosana conifer‐deciduous broadleaf mixed forest (Pm + Lf), P. massoniana‐Castanopsis eyrei conifer‐evergreen broadleaf mixed forest (Pm + Ce), and P. massoniana plantation (Pm), and conducted field investigations (litter composition and mass) and indoor immersion experiments to analyse the litter water‐holding capacity (LWHC) of forest stands in their natural state and with artificial ratios combining mixed (needle‐leaf and broad‐leaf) litters. The total litter mass did not significantly differ among the three forest stands (p > 0.05), but significant differences were observed in the needle‐leaf (0.67–2.92 t hm−2), broad‐leaf (0.32–1.89 t hm−2) and bark (0.11–0.34 t hm−2) masses in the undecomposed layer. The LWHC of different stand types was in the order of Pm + Lf > Pm + Ce > Pm. The maximum water‐holding capacity of different artificial ratios of mixed litters was positively proportional to the broad‐leaf mass and inversely proportional to the needle‐leaf mass, and the P. massoniana‐L. formosana mixed litter had a higher maximum water‐holding capacity than the P. massoniana‐C. eyrei mixed litter. The LWHC of mixed forests is mainly influenced by stand structure (tree composition) and litter characteristics, and is positively correlated with leaf area, thickness, dry matter content, and surface roughness. This study revealed that the LWHC can be significantly affected by different P. massoniana stands in subtropical mountains. This study will aid the sustainable and ecological management of forest in subtropical mountains, and P. massoniana plantations should be gradually converted into mixed conifer‐broadleaf forests with greater LWHC and buffering capacity.

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Section: The Maximum Lwhcsupporting

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Tree species composition affects litter eco‐hydrological function in Pinus massoniana conifer‐broadleaf mixed forest stands in southwest China

Tang,

Xu,

Wang

et al. 2024

Hydrological Processes

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“…The determination of litter amount, moisture content, organic carbon (OC), total nitrogen (TN) and total phosphorous (TP) concentrations, and calculation of stem number, species number, the proportion of conifer stems and species, Gleason ( D ), Pielous ( J ) and Shannon Wiener ( H ′) indices, and basal area were conducted following descriptions by Qin et al (). In addition, canopy density was analyzed using the digital images of the canopy, which were processed using Adobe Photoshop (version CS6, Adobe Systems Software Ireland Ltd) and calculated as follows (Qi, Luo, & Zhao, ):

ε = 1 - \frac{e}{E}

where, ε is the canopy density, e and E are the pixel value of sky portion in the selected area and that of the selected area, respectively.…”

Section: Methodsmentioning

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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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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“…The return of plant litter to soil supplies a large proportion of nutrients, such as N and P required for plant growth, while their returning amounts (i.e. amounts returned to soils) are determined by their initial concentrations (Geng et al, 2022;Qin et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Global spectra of plant litter carbon, nitrogen and phosphorus concentrations and returning amounts

Yuan,

Wu,

Peng

et al. 2024

Journal of Ecology

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Litter decomposition is a key ecological process that determines carbon (C) and nutrient cycling in terrestrial ecosystems. The initial concentrations of C and nutrients in litter play a critical role in this process, yet the global patterns of litter initial concentrations of C, nitrogen (N) and phosphorus (P) are poorly understood. We employed machine learning with a global database to quantitatively assess the global patterns and drivers of leaf litter initial C, N and P concentrations, as well as their returning amounts (i.e. amounts returned to soils). The medians of litter C, N and P concentrations were 46.7, 1.1, and 0.1%, respectively, and the medians of litter C, N and P returning amounts were 1.436, 0.038 and 0.004 Mg ha−1 year−1, respectively. Soil and climate emerged as the key predictors of leaf litter C, N and P concentrations. Predicted global maps showed that leaf litter N and P concentrations decreased with latitude, while C concentration exhibited an opposite pattern. Additionally, the returning amounts of leaf litter C, N and P all declined from the equator to the poles in both hemispheres. Synthesis: Our results provide a quantitative assessment of the global concentrations and returning amounts of leaf litter C, N and P, which showed new light on the role of leaf litter in global C and nutrients cycling.

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Spatial heterogeneity and affecting factors of litter organic carbon and total nitrogen over natural spruce-fir mixed forests in northeastern China

Cited by 20 publications

References 41 publications

Tree species composition affects litter eco‐hydrological function in Pinus massoniana conifer‐broadleaf mixed forest stands in southwest China

Tree species composition affects litter eco‐hydrological function in Pinus massoniana conifer‐broadleaf mixed forest stands in southwest China

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

Global spectra of plant litter carbon, nitrogen and phosphorus concentrations and returning amounts

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