Tree species composition rather than biodiversity impacts forest soil organic carbon of Three Gorges, southwestern China

Liu, Nan; Wang, Yujie; Wang, Yunqi; Zhanjun, Zhao; Zhao, Youpeng

doi:10.3897/natureconservation.14.6486

Cited by 8 publications

(6 citation statements)

References 59 publications

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“…A species influence on soil C stock was observed only with F. sylvatica soils in the top layers (0-10 and 10-20 cm). This agrees with previous studies that tree species composition affects soil organic C stock particularly in topsoil (Liu et al 2016;Wang et al 2009). There is an agreement that the tree species has enormous effects on the soil, mainly because of the quality and quantity of organic matter inputs through litter fall, root and soil microbial activities (Dawud et al 2016;Vesterdal et al 2002).…”

Section: Tree Biomass and Soil C And N Stockssupporting

confidence: 93%

“…For example, at the young stage, the fast growing and light demanding species capture light more efficiently, but after canopy closure, the competition for light increases in polyculture stand, which may affect the growth of component species. Similarly mixing effects on soil organic C stock may change with stand development (Liu et al 2016). Therefore, the effects of species polyculture on tree biomass and soil C at the young stage cannot be generalized over the entire life succession of the species and rather expressed the effects based on the point of evaluation.…”

Section: Limitations Regarding Stand Age and Short-term Experimentsmentioning

confidence: 99%

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Polyculture affects biomass production of component species but not total standing biomass and soil carbon stocks in a temperate forest plantation

Ahmed

Smith

Godbold

2019

Annals of Forest Science

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& Key message Over-yielding of stand biomass did not occur in a tree polyculture comprised of Betula pendula, Alnus glutinosa and Fagus sylvatica selected for contrasting traits. This was due to antagonistic interactions between the component species. Fine root dynamics and soil C stocks were unaffected by species mixture. & Context Increasing CO 2 fixation in tree biomass through afforestation and forest management actions has potential for costeffective climate mitigation. The influences of tree mixture on biomass production and subsequent soil C accumulation in polyculture still remain uncertain. & Aims We studied the polyculture of Alnus glutinosa (L.) Gaertn, Betula pendula Roth and Fagus sylvatica L. in a plantation forest to examine the effectiveness of species mixtures as a tool for increased biomass production and soil C accumulation. & Methods Tree biomass was estimated by developing species-specific allometric models and 3 years tree measurement. Fine root biomass and production were estimated by root coring and root-mesh methods. The 'relative yield of mixture' approach was used to examine the mixture effect. & Results In mixture, an additive effect was observed in A. glutinosa (13% increase in basal diameter relative to the monoculture); however, there was no overall effect of mixture on total standing biomass due to the suppression of F. sylvatica (2.75 g m −2 reduction in woody biomass). Fine root biomass production showed no mixture effect. The quantity and quality of soil C (top 0.5 m) was not affected by tree mixture. & Conclusion We conclude that the contrasting growth responses of the A. glutinosa, B. pendula and F. sylvatica in polyculture resulted in no over-yielding of standing biomass despite the complementary traits of the component species.

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Section: Tree Biomass and Soil C And N Stockssupporting

confidence: 93%

Section: Limitations Regarding Stand Age and Short-term Experimentsmentioning

confidence: 99%

Polyculture affects biomass production of component species but not total standing biomass and soil carbon stocks in a temperate forest plantation

Ahmed

Smith

Godbold

2019

Annals of Forest Science

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“…Wood products may play an important role in the long-term storage of C and to offset fossil fuel CO2 emissions (McKinley et al, 2011). Plantation forest soils have been shown to have lower nutritional content and lower litter fall, thereby reducing the diversity and size of the microbial community in the soil allowing for faster turnover of soil organic carbon (Schleuß et al, 2014;Liu et al, 2016;Chen et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Carbon, water and energy exchange dynamics of a young pine plantation forest during the initial fourteen years of growth

Chan

Arain

Khomik

et al. 2018

Forest Ecology and Management

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“…However, it should be noted that those sampling points obtained with random sampling are often unevenly distributed or overdispersed. Using practical regional soil surveys, some researchers have found obvious differences in SOC content and variability among different soil types, land use patterns, or vegetation types [13][14][15]. As a result, type-based stratified sampling design has been used in regional SOC surveys, such as the soil type-based stratified sampling design, the land use based stratified sampling design, and so on.…”

Section: Introductionmentioning

confidence: 99%

Influence of Sampling Point Discretization on the Regional Variability of Soil Organic Carbon in the Red Soil Region, China

et al. 2018

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Research on the regional variability of soil organic carbon (SOC) has focused mostly on the influence of the number of soil sampling points and interpolation methods. Little attention has typically been paid to the influence of sampling point discretization. Based on dense soil sampling points in the red soil area of Southern China, we obtained four sample discretization levels by a resampling operation. Then, regional SOC distributions were obtained at four levels by two interpolation methods: ordinary Kriging (OK) and Kriging combined with land use information (LuK). To evaluate the influence of sample discretization on revealing SOC variability, we compared the interpolation accuracies at four discretization levels with uniformly distributed validation points. The results demonstrated that the spatial distribution patterns of SOC were roughly similar, but the contour details in some local areas were different at the various discretization levels. Moreover, the predicted mean absolute errors (MAE) and root mean square errors (RMSE) of the two Kriging methods all rose with an increase in discretization. From the lowest to the largest discretization level, the MAEs of OK and LuK rose from 4.47 and 3.02 g kg−1 to 5.46 and 3.54 g kg−1, and the RMSEs rose from 5.13 and 3.95 g kg−1 to 5.76 and 4.76 g kg−1, respectively. Though the trend of prediction errors varied with discretization levels, the interpolation accuracies of the two Kriging methods were both influenced by the sample discretization level. Furthermore, the spatial interpolation uncertainty of OK was more sensitive to the discretization level than that of the LuK method. Therefore, when the spatial distribution of SOC is predicted using Kriging methods based on the same sample quantity, the more uniformly distributed sampling points are, the more accurate the spatial prediction accuracy of SOC will be, and vice versa. The results of this study can act as a useful reference for evaluating the uncertainty of SOC spatial interpolation and making a soil sampling scheme in the red soil region of China.

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Tree species composition rather than biodiversity impacts forest soil organic carbon of Three Gorges, southwestern China

Cited by 8 publications

References 59 publications

Polyculture affects biomass production of component species but not total standing biomass and soil carbon stocks in a temperate forest plantation

Polyculture affects biomass production of component species but not total standing biomass and soil carbon stocks in a temperate forest plantation

Carbon, water and energy exchange dynamics of a young pine plantation forest during the initial fourteen years of growth

Influence of Sampling Point Discretization on the Regional Variability of Soil Organic Carbon in the Red Soil Region, China

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