Effects of Urban Forest Types and Traits on Soil Organic Carbon Stock in Beijing

Xu, Xingqian; Sun, Zhongchang; Hao, Zezhou; Bian, Qi; Wei, Kaiyue; Wang, Cheng

doi:10.3390/f12040394

Cited by 10 publications

(10 citation statements)

References 73 publications

(73 reference statements)

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“…Suffice to say that there was a partial and varied soil type × AVC interaction across all levels. Correspondingly, studies by Setala et al [68] and Xu et al [69] reported similar interactions between soil types and vegetation types. They established that vegetation types, greatly modify the soil biogeochemistry of pH, %OM, %C, and %N and the C/N ratio, translating to significant variation in soil properties and processes among the vegetation types.…”

Section: To What Extent Do Soil Types And/ or Avc Act As Major Regula...supporting

confidence: 58%

Identification and predictability of soil quality indicators from conventional soil and vegetation classifications

et al. 2021

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The physical, chemical and biological attributes of a soil combined with abiotic factors (e.g. climate and topography) drive pedogenesis and some of these attributes have been used as proxies to soil quality. Thus, we investigated: (1) whether appropriate soil quality indicators (SQIs) could be identified in soils of Great Britain, (2) whether conventional soil classification or aggregate vegetation classes (AVCs) could predict SQIs and (3) to what extent do soil types and/ or AVCs act as major regulators of SQIs. Factor analysis was used to group 20 soil attributes into six SQI which were named as; soil organic matter (SOM), dissolved organic matter (DOM), soluble N, reduced N, microbial biomass, DOM humification (DOMH). SOM was identified as the most important SQI in the discrimination of both soil types and AVCs. Soil attributes constituting highly to the SOM factor were, microbial quotient and bulk density. The SOM indicator discriminated three soil type groupings and four aggregate vegetation class groupings. Among the soil types, only the peat soils were discriminated from other groups while among the AVCs only the heath and bog classes were isolated from others. However, the peat soil and heath and bog AVC were the only groups that were distinctly discriminated from other groups. All other groups heavily overlapped with one another, making it practically impossible to define reference values for each soil type or AVC. The two-way ANOVA showed that the AVCs were a better regulator of the SQIs than the soil types. We conclude that conventionally classified soil types cannot predict the SQIs defined from large areas with differing climatic and edaphic factors. Localised areas with similar climatic and topoedaphic factors may hold promise for the definition of SQI that may predict the soil types or AVCs.

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Section: To What Extent Do Soil Types And/ or Avc Act As Major Regula...supporting

confidence: 58%

Identification and predictability of soil quality indicators from conventional soil and vegetation classifications

et al. 2021

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“…The included studies examined soil carbon using both direct and indirect approaches. Direct studies explicitly focused on carbon stock analysis in urban green areas [4,17,18,21,25,28,[48][49][50][51][52][53][54][55][56][57][58][59][60][61]. The indirect studies deviated from a specific focus on soil carbon as a central theme.…”

Section: Methodologies Used In the Reviewed Articles On Soil Carbon I...mentioning

confidence: 99%

“…As mentioned in the introduction, a predominant focus on soil carbon has been studied in the form of SOC [1,2,4,[16][17][18][19]21,22,[26][27][28][29]43,45,[48][49][50][51][52][54][55][56][57][58][59][60][61][62]65,67,[69][70][71][72]74,76,[80][81][82][83] and in the form of Total Carbon [25,50,51,63,65,66,68,73,75,[77]…”

Section: Methodologies Used In the Reviewed Articles On Soil Carbon I...mentioning

confidence: 99%

Methodological Approaches and Literature Analysis in the Study of Soil Carbon in Urban Green Spaces: A Systematic Review

Tomatis,

Diaz De Oleo,

Correa-Guimaraes

et al. 2024

Preprint

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This review examines methodologies studying soil carbon in urban green spaces, a field requiring higher attention as their ecosystem services are valued and urban mitigation plans against climate change are developed. In the growing global urbanization, urban green spaces play a crucial role as nature-based solutions to address climate challenges, demanding efficient carbon accounting and reduction strategies. In this research, a systematic review was conducted assessing publications from 2021 to 2023 in the databases Web of Science and Scopus. Findings expose the lack of standardization in the methodologies used to study soil carbon in urban green spaces, evidencing in situ measurements at different sampling depths and studies without longitudinal monitoring over time. In addition, studies originated primarily in universities from China, United States and Spain, which focused on carbon in the form of Soil Organic Carbon and Total Carbon. Based on these findings, recommendations are made advocating for the combination and standardizing methodologies. This review offers valuable insights that shed light on an ignore and often overseen issue. Further studies and standardized methodology are needed, to help cities efforts in their pursuit of carbon neutrality by acknowledging the influential role of urban soils, especially green spaces.

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“…In forest ecosystems, plants provide primary C input into the soil, where leaf litter is decomposed to form humus and SOC by the action of microbes or abiotic polymerization (Zhou et al, 2015 ; Shi et al, 2018 ). Urban forests can provide many ecosystem services, such as improving air quality, sustaining biodiversity, and increasing C fixation (Roeland et al, 2019 ; Xu et al, 2021 ). In addition, urban forests also affect organic carbon components and then maintain ecosystem stability and mitigate climate change, thereby improving urban living quality and environments (Wang et al, 2023 ).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, urban forests also affect organic carbon components and then maintain ecosystem stability and mitigate climate change, thereby improving urban living quality and environments (Wang et al, 2023 ). Different urban forest planting patterns have different dominant plant species and compositions, resulting in variations in the substrate composition and quality of litter, soil properties, and microbial communities (Xu et al, 2021 ). Mixed-species forests with multiple species increase tree species diversity and improve the likelihood of finding species with complementary functional features for maximizing resource usage, according to the niche complementary hypothesis (Cassart et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Effect of forest planting patterns on the formation of soil organic carbon during litter lignocellulose degradation from a microbial perspective

Wu,

Yin,

Fan

et al. 2023

Front. Microbiol.

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Litter decomposition is an important source of soil organic carbon, and it plays a key role in maintaining the stability of forest ecosystems. The microbial mechanism of soil organic carbon (SOC) formation in different urban forest planting patterns during litter lignocellulose degradation is still unclear. The key genes, microbes, and metabolites in the process of lignocellulose degradation and SOC formation were determined by metagenomics and metabolomics in different litter decomposition layers and soil layers in different urban forest planting patterns, including three types of broadleaf forests (BP forests), three types of coniferous forests (CP forests), and two types of mixed coniferous and broadleaf forests (MCBP forests). The results indicated that the cellulose, hemicellulose, and lignin concentrations from the undecomposed layer to the totally decomposed layer decreased by 70.07, 86.83, and 73.04% for CP litter; 74.30, 93.80, and 77.55% for BP litter; and 62.51, 48.58, and 90.61% for MCBP litter, respectively. The soil organic carbon of the BP forests and MCBP forests was higher than that of the CP forests by 38.06 and 94.43% for the 0–10 cm soil layer and by 38.55 and 20.87% for the 10–20 cm soil layer, respectively. Additionally, the gene abundances of glycoside hydrolases (GHs) and polysaccharide lyases (PLs) in the BP forests were higher than those in the MCBP forests and CP forests. Amino acid metabolism, sugar metabolism, TCA metabolism, and cAMP signaling metabolism were mainly between the CP forests and BP forests, while the TCA cycle, pyruvate metabolism, phenylalanine metabolism, and tyrosine metabolism were mainly between the BP forests and MCBP forests during litter decomposition. Additionally, ammonia nitrogen and hemicellulose were key factors driving SOC formation in the CP forests, while ammonia nitrogen, hemicellulose, and lignocellulose-degrading genes were key factors driving SOC formation in the BP forests. For the MCBP forests, cellulose, pH, ammonia nitrogen, and lignin were key factors driving SOC formation. Our findings revealed that the BP forests and MCBP forests had stronger lignocellulose degradation performance in the formation of SOC. This study provided a theoretical basis for the flow and transformation of nutrients in different urban forest management patterns.

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Effects of Urban Forest Types and Traits on Soil Organic Carbon Stock in Beijing

Cited by 10 publications

References 73 publications

Identification and predictability of soil quality indicators from conventional soil and vegetation classifications

Identification and predictability of soil quality indicators from conventional soil and vegetation classifications

Methodological Approaches and Literature Analysis in the Study of Soil Carbon in Urban Green Spaces: A Systematic Review

Effect of forest planting patterns on the formation of soil organic carbon during litter lignocellulose degradation from a microbial perspective

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