Relationship between stand characteristics and soil properties of two typical forest plantations in the mountainous area of Western Sichuan, China

Yang, Hyung-Jin; Miao, Ning; Li, Shaocai; Ma, Rui; Liao, Ziyan; Wei-ping, Wang; Sun, Haoran

doi:10.1007/s11629-018-5265-y

Cited by 18 publications

(10 citation statements)

References 57 publications

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“…Litter on the surface was removed, and fine roots (< 2 mm) were dug up with a spade. The rhizosphere soil was obtained by shaking off the fine roots, and then the soil within the quadrate was mixed evenly and kept at 4°C ( Wang et al, 2018 ; Yang et al, 2019 ). All rhizosphere soil samples were divided into two parts, one was used for DNA extraction and the other was sieved (2 mm) for soil property analyses ( Wang et al, 2017 ; Liu et al, 2018 ).…”

Section: Methodsmentioning

confidence: 99%

“…Soil organic matter (OM) content was calculated by multiplying soil organic carbon (SOC) content by the conventional Van Bemmelen factor of 1.724 ( Lundmark et al, 2017 ; Yang et al, 2019 ). TP was determined following a complete sulfuric/perchloric acid digestion of unfiltered samples, and pH was determined in a soil–water slurry (ratio 1:2.5) with a combination pH electrode ( Chen et al, 2012 ).…”

Section: Methodsmentioning

confidence: 99%

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Moso bamboo (Phyllostachys edulis (Carrière) J. Houzeau) invasion affects soil microbial communities in adjacent planted forests in the Lijiang River basin, China

Sun

Dai

et al. 2023

Front. Microbiol.

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IntroductionMoso bamboo (Phyllostachys edulis (Carrière) J. Houz.), the most widely distributed economic bamboo species in southern China, can easily invade adjacent communities due to its clonal reproduction. However, there is little information on the effects of its establishment and expansion to adjacent forest soil communities, particularly in planted forests.MethodsWe investigated the relationships between soil properties and the microbial community during bamboo invasion under different slope directions (shady or sunny slope) and positions (bottom, middle, or top slope), in three typical stand types (bottom: pure moso bamboo, middle: mixed stands of moso bamboo and Masson pine (Pinus massoniana Lamb.), and top: pure Masson pine) in the Lijiang River Basin. This study aimed to explore the effects of key environmental factors on soil microbial composition, diversity, and abundance.Results and DiscussionThe results showed that the abundance of Acidobacteria bacterium and Acidobacteria bacterium 13_2_20CM_58_27, and Verrucomicrobia bacterium decreased as the slope increased (p < 0.05), whereas the abundance of Alphaproteobacteria bacterium, Actinobacteria bacterium, Trebonia kvetii, and Bradyrhizobium erythrophlei increased as the slope increased (p < 0.05). However, the difference of slope direction on microbial communities was not significant. The pH, organic matter (OM) and total phosphorus (TP) were the key soil environmental factors; most microorganisms (Betaproteobacteria bacterium, Candidatus Eisenbacteria bacterium, Betaproteobacteria bacterium SCGC_AG − 212 − J23, Gemmatimonadetes bacterium, Actinobacteria bacterium 13_2_20CM_2_66_6, and Myxococcaceae bacterium) showed a positive relationship with pH and a negative relationship with OM and TP. Slope position significantly affected OM, calcium (Ca), total nitrogen (TN), available phosphorus (AP), hydrolyzed nitrogen (HN), pH, and microbial abundance and composition. Slope direction significantly affected TP and magnesium (Mg). The structural equations also indicated that slope position had an effect on microbial composition, abundance, and diversity. Slope position was negatively correlated with pH (r = −0.333, p = 0.034) and positively correlated with OM (r = 0.728, p < 0.001), TN (r = 0.538, p < 0.001) and Ca (r = 0.672, p < 0.001); pH was positively correlated with microbial composition (r = 0.634, p < 0.001), abundance (r = 0.553, p < 0.001) and diversity (r = 0.412, p = 0.002), TN was positively correlated with microbial composition (r = 0.220, p = 0.014) and abundance (r = 0.206, p = 0.013), and Ca was negatively correlated with microbial composition (r = −0.358, p = 0.003) and abundance (r = −0.317, p = 0.003). Slope position can also influence microbial composition (r = 0.452, p < 0.001) directly. In addition, slope direction had an indirect effect on microbial diversity through total potassium (TK). Therefore, we proposed that the different variations in microbial community during bamboo invasion could be related to the influence of invasion on the soil properties at different invasion stages.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Moso bamboo (Phyllostachys edulis (Carrière) J. Houzeau) invasion affects soil microbial communities in adjacent planted forests in the Lijiang River basin, China

Sun

Dai

et al. 2023

Front. Microbiol.

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“…Variations in the carbon storage of soils, litters, and understory plants were recorded and analyzed to explore the relationships between carbon content in the stands, understory plants, litter, and soils under different thinning intensities. A typical sampling method was adopted to set the layout of sample plots [31]. All the trees were considered for the analysis based on the measurement of all individuals in the population at different ages.…”

Section: Data Collection and Sampling Methodsmentioning

confidence: 99%

“…All the trees were considered for the analysis based on the measurement of all individuals in the population at different ages. DBH, height, stand densities, and tree growth conditions in the forests were investigated and the number of trees was also recorded [31].…”

Section: Data Collection and Sampling Methodsmentioning

confidence: 99%

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Exploring the Effects of Thinning on Cunninghamia lanceolata Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model

Yang

Liao

Ming

et al. 2021

Forests

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We investigated the effects of thinning intensity on the carbon allocation of Cunninghamia lanceolata Lamb. Hook by analyzing the stand growth and carbon content of a plantation under three thinning intensities (I: 70%; II: 50%; III: 30%) and with no thinning treatment. Using the carbon balance framework of the CROwn BASe (CROBAS) model and multi-source inventory data, we calibrated the parameters of the CROBAS-C. lanceolata (CROBAS-CL) model to simulate the carbon content in the plantation. We validated the CROBAS-CL model by comparing the predicted stand diameter at breast height (DBH) and stand height (H) with the measured values. Finally, the predicted stand carbon was compared with the soil carbon to assess the dynamics and allocation of ecosystem carbon content. Overall, our findings suggest that the predicted stand carbon of CROBAS-CL satisfies the statistical test requirements: the deviation of height and DBH predicted by the CROBAS-CL model from the measured height and DBH are less than 0.087 m and 0.165 cm, respectively. These results confirm that the model is useful for a dynamic prediction of stand carbon in C. lanceolata plantations. Based on the results of the proposed model, we determine that Thinning III (30% thinning intensity) is beneficial for the growth of C. lanceolata plantations and improving soil carbon sequestration. Additionally, the simulated carbon storage of an individual tree in the C. lanceolata plantation gradually increased with the tree age. Our study provides a strong reference for the efficient operation and management of C. lanceolata plantations in southwestern China.

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Spatial distributions of intra-community tree species under topographically variable conditions

Zhao

Wang

et al. 2023

J. Mt. Sci.

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Relationship between stand characteristics and soil properties of two typical forest plantations in the mountainous area of Western Sichuan, China

Cited by 18 publications

References 57 publications

Moso bamboo (Phyllostachys edulis (Carrière) J. Houzeau) invasion affects soil microbial communities in adjacent planted forests in the Lijiang River basin, China

Moso bamboo (Phyllostachys edulis (Carrière) J. Houzeau) invasion affects soil microbial communities in adjacent planted forests in the Lijiang River basin, China

Exploring the Effects of Thinning on Cunninghamia lanceolata Lamb. Carbon Allocation in Southwestern China Using a Process-Based Model

Spatial distributions of intra-community tree species under topographically variable conditions

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