Aboveground carbon stock, allocation and sequestration potential during vegetation recovery in the karst region of southwestern China: A case study at a watershed scale

Changcheng, Liu; Yuguo, Liu; Guo, Ke; Wang, Shijie; Liu, Huiming; Zhao, Haiwei; Qiao, Xiaojuan; Hou, Dongjie; Li, Shaobin

doi:10.1016/j.agee.2016.10.003

Cited by 62 publications

(20 citation statements)

References 40 publications

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“…On the one hand, C stock in the vegetation increases with stand development, (Cheng et al., ; Fonseca, Benayas, & Alice, ). For instance, in a natural vegetation succession, C storage in biomass increased from 1.70 (grasslands), 4.15 (shrublands), 22.3 (shrub forests), 70.3 (secondary forests) to 142.2 Mg C ha −1 (primary forest) in karst regions (Liu, Liu, et al., ). On the other hand, with forest growth, stand NPP declines as trees age (Gray et al., ), which may result from nutrient limitation, stomatal constraint, declines in photosynthesis during stand development (Gower, McMurtrie, & Murty, ; McDowell, Phillips, Lunch, Bond, & Ryan, ; Tang, Luyssaert, Richardson, Kutsch, & Janssens, ).…”

Section: Discussionmentioning

confidence: 99%

Soil and vegetation carbon turnover times from tropical to boreal forests

et al. 2017

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Terrestrial ecosystems currently function as a net carbon (C) sink for atmospheric C dioxide (CO2), but whether this C sink can persist with global climate change is still uncertain. Such uncertainty largely comes from C turnover time in an ecosystem, which is a critical parameter for modelling C cycle and evaluating C sink potential. Our current understanding of how long C can be stored in soils and vegetation and what controls spatial variations in C turnover time on a large scale is still very limited. We used data on C stocks and C influx from 2,753 plots in vegetation and 1,087 plots in soils and investigated the spatial patterns as well controlling factors of C turnover times across forest ecosystems in eastern China. Our results showed a clear latitudinal pattern of C turnover times, with the shortest turnover times in the low‐latitude zones and the longest turnover times in the high‐latitude zones. Mean annual temperature and mean annual precipitation were the most important controlling factors on soil C turnover times, while forest age accounted for the majority of variations in the vegetation C turnover times. Forest origin (planted or natural forest) was also responsible for the variations in vegetation C turnover times, while forest type and soil properties were not the dominant controlling factors. Our study highlights the different dominant controlling factors in soil and vegetation C turnover times and different mechanisms underlying above‐ and below‐ground C turnover. These findings are essential to better understand (and reduce uncertainty) in predictive models of coupled C–climate system. A http://onlinelibrary.wiley.com/doi/10.1111/1365-2435.12914/suppinfo is available for this article.

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Section: Discussionmentioning

confidence: 99%

Soil and vegetation carbon turnover times from tropical to boreal forests

et al. 2017

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“…For example, the largest biomass increase in the world occurred in the South China karst region between 1999 and 2012 [10]. Other studies reported the biomass in typical karst ecosystems, or along vegetation restoration areas based on surveys of small plots [2,6,[11][12][13][14]. However, no biomass investigations have been conducted on a local scale in the karst region, especially in forests.…”

Section: Introductionmentioning

confidence: 99%

Stand Structure and Abiotic Factors Modulate Karst Forest Biomass in Southwest China

Liu

Zeng

Song

et al. 2020

Forests

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Understanding the driving factors of forest biomass are critical for further understanding the forest carbon cycle and carbon storage management in karst forests. This study aimed to investigate the distribution of forest aboveground biomass (AGB) and the effects of stand structural and abiotic factors on AGB in karst forests in Southwest China. We established a 25 ha plot and sampled all trees (≥1 cm diameter) in a subtropical mixed evergreen-deciduous broadleaf forest. We mapped the forest biomass distribution and applied a variation of partitioning analysis to examine the topographic, stand structural, and spatial factors. Furthermore, we used structural equation models (SEM) to test how these variables directly and/or indirectly affect AGB. The average AGB of the 25 ha plot was 73.92 Mg/ha, but that varied from 3.22 to 198.11 Mg/ha in the 20 m × 20 m quadrats. Topographic, stand structural, and spatial factors together explained 67.7% of the variation in AGB distribution. The structural variables (including tree density and the diameter at breast height (DBH) diversity) and topographic factors (including elevation, VDCN (vertical distance to channel network), convexity, and slope) were the most crucial driving factors of AGB in the karst forests. Structural equation models indicated that elevation, tree density, and DBH diversity directly affected AGB, and elevation also indirectly affected AGB through tree density and DBH diversity. Meanwhile, AGB was indirectly influenced by VDCN, convexity, and slope. The evaluation of stand structural and abiotic drivers of AGB provides better insights into the mechanisms that play a role in carbon storage in karst forests, which may assist in improving forest carbon management.

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“…Yellow soil as a Dystric Luvisol (Ultisols) is widely distributed in south Karst China, where it occupies 12% Karst area of the global land area [28]. Karst rocky desertification is one of the most and increasingly more serious environmental problems in China [29,30].…”

Section: Introductionmentioning

confidence: 99%

Response of Bacterial Community Structure to Different Biochar Addition Dosages in Karst Yellow Soil Planted with Ryegrass and Daylily

Luo

Song

et al. 2020

Sustainability

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Biochar has been widely used to ameliorate soil quality and increase crop productivity through enhancement of nutrient availability and microbial community. The Karst yellow soil in China is characterized by severe soil degradation owing to intensive nutrient leaching. However, the biochar addition effects on the changes of Karst yellow soil are unclear, and the adequate number of biochar dosages to explain optimum of plant growth in this soil area remains poorly understood. In this study, pot experiments were conducted to examine the effects of biochar addition (1%, 3%, 5%, 7%, and 9% by weight; 0% as a control) on bacterial abundance and community structure via high-throughput sequencing coupled with bioinformatics methods applied to Karst yellow soil with planting ryegrass (Lolium perenne L.) and daylily (Hemerocallis fulva). After adding biochar for 188 days, significantly increased pH, soil organic matter, total nutrient contents, and bacterial abundance, but decreased available nitrogen, were observed. Changed bacterial community structures were found in biochar treatments compared with those without biochar. In both soils of planted ryegrass and daylily, the optimum soil bacterial abundance was found in 7% biochar dosage, but the lowest values were in the controls (0%). Taxonomic analysis identified that Micrococcaceae (24.53%), Oxalobacteraceae (11.87%), and Nocardioidaceae (7.89%) were the dominant family in the soil of ryegrass growth, and Micrococcaceae (16.20%), Xanthomonadaceae (6.94%), and Nocardioidaceae (6.41%) were the dominant family in soil of daylily growth. Canonical correspondence analysis showed that the alterations of soil bacterial abundance and community were highly interrelated with soil chemical properties. The results provided a better understanding of the mechanisms underlying the plant-soil microbe interactions and their responses to biochar dosages in low fertility soil regions.

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Aboveground carbon stock, allocation and sequestration potential during vegetation recovery in the karst region of southwestern China: A case study at a watershed scale

Cited by 62 publications

References 40 publications

Soil and vegetation carbon turnover times from tropical to boreal forests

Soil and vegetation carbon turnover times from tropical to boreal forests

Stand Structure and Abiotic Factors Modulate Karst Forest Biomass in Southwest China

Response of Bacterial Community Structure to Different Biochar Addition Dosages in Karst Yellow Soil Planted with Ryegrass and Daylily

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