Effect of altitudinal variation on carbon density in arbor layer and soil layer of <i>Picea crassifolia</i> forest in Qilian Mountains

Lixiong, 曾立雄 Zeng; Lei, 雷蕾 Lei; Xiaorong, 王晓荣 Wang; Jianhua, 朱建华 Zhu; Wenfa, 肖文发 Xiao; Xiande, 刘贤德 Liu; Wenmao, 敬文茂 Jing

doi:10.5846/stxb201711302152

Cited by 3 publications

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“…The carbon density in the tree layer has been shown to decrease along with increasing altitude, whereas the carbon density in the soil layer first decreases, then increases; furthermore, the percentage of soil carbon density out of the total carbon density in-creases with altitude [14]. There are significant positive correlations of elevation with soil organic carbon content and carbon density in the Qinghai spruce tree layer, and a significant negative correlation between elevation and mean summer air temperature [15]. However, links between the natural regeneration features of Qinghai spruce and soil stoichiometric properties at varying elevations remain unexplored.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Regenerating Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

WU,

CHONG,

et al. 2023

Preprint

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Qinghai spruce (Picea crassifolia) is a ecologically important species in the forest ecosystem of the Qilian Mountains region in China. Natural regeneration of this species is critical to maintaining forest ecosystem function. We here analyzed several biological indicators among naturally re-generating Qinghai spruce across several elevations in the Pailugou watershed. Specifically, seedling density, basal diameter (BD), and plant height were measured, as were soil physico-chemical parameters, at 2700 m, 3000 m, and 3300 m above sea level. Differences in the biological indicators and correlations between the indicators and soil parameters were then assessed at each elevation. The results showed that soil stoichiometry was more sensitive to changes in el-evation than seedling indicators were. Furthermore, seedling density was positively correlated with soil pH, whereas BD was positively correlated with the carbon to nitrogen ratio (C/N), the carbon to phosphorus ratio, and soil organic carbon (SOC) contents. None of the analyzed soil parameters had a significant impact on elevation-specific differences in seedling density. However, soil pH, SOC, and C/N significantly affected variations in seedling diameter at each elevation. Finally, soil pH, SOC, C/N, and the carbon to phosphorus ratio significantly affected variations in seed-ling height at each elevation. This study provides a strong theoretical basis for further under-standing of the mechanisms associated with Qinghai spruce regeneration, ulti-mately contrib-uting to rational protection and management strategies for this important natural resource.

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Section: Introductionmentioning

confidence: 99%

Relationships between Regenerating Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

WU,

CHONG,

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Furthermore, the percentage of soil carbon density out of the total carbon density increases across elevations [15]. There are significant positive correlations of elevation with soil organic carbon content and carbon density in the Qinghai spruce tree layer, and a significant negative correlation between elevation and the mean summer air temperature [17]. However, links between the natural regeneration features of Qinghai spruce and soil stoichiometric properties at varying elevations remain unexplored.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Regeneration of Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

Wu,

Chong,

et al. 2024

Forests

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Qinghai spruce (Picea crassifolia Kom.) is an ecologically important species in the forest ecosystem of the Qilian Mountains region in China. Natural regeneration of this species is critical to maintaining forest ecosystem function. Here, we analyzed several biological indicators among naturally regenerating Qinghai spruce across several elevations in the Pailugou watershed. Specifically, seedling density, basal diameter (BD), and plant height were measured, as were soil physicochemical parameters, at 2700 m, 3000 m, and 3300 m above sea level. Differences in the regeneration indicators and correlations between the indicators and soil parameters were then assessed across elevations. The results showed that soil stoichiometry was more sensitive to changes in elevation than seedling indicators were. Furthermore, seedling density was positively correlated with soil pH, whereas BD was positively correlated with the carbon-to-nitrogen ratio (C/N), the carbon-to-phosphorus ratio (C/P), and soil organic carbon (SOC) contents. None of the analyzed soil stoichiometry parameters had a significant impact on elevation-specific differences in seedling density. However, soil pH, SOC, and C/N significantly affected variations in seedling basal diameter at different elevations. Finally, soil pH, SOC, C/N, and the carbon-to-phosphorus ratio significantly affected variations in seedlings’ heights at different elevations. This study provides a strong theoretical basis for further understanding of the mechanisms associated with Qinghai spruce regeneration, ultimately contributing to rational protection and management strategies for this important natural resource.

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“…Using remote sensing data and geospatial techniques to determine land use/land cover change and estimate carbon pools would make results more accurate and more scholars are studying carbon density in the InVEST model by calculating carbon density for different land-use types in different regions, even down to the precise breakdown of carbon density for different tree species. 28 , 29 However, the value of carbon storage which is generated by land-use change over a certain period in the future has been rarely assessed by scholars and few studies used the InVEST model to study the impact of land-use change on carbon storage in terrestrial ecosystems in the Qiantang River Source region. 30 Based on previous studies, this paper estimates the economic value of carbon storage in 2030 and analyses the impact of land-use change on carbon storage, to make the ecosystem carbon storage more complete.…”

Section: Introductionmentioning

confidence: 99%

Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China

Cao

Kong

2022

Science Progress

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To explore the impact of land-use change on carbon storage, this study coupled the InVEST model and the FLUS model to analyse the spatial and temporal characteristics of carbon storage in the Qiantang River source region from 2000 to 2030. The carbon storage in the study area is evaluated which declined rapidly from 166.22 × 106 t in 2000 to 164.41 × 106 t in 2020, and the spatial distribution of carbon storage could be characterized by “the northwest and the southwest of region with higher, the east and the centre of the region with lower”. The carbon storage was simulated based on the historical trend development scenario, the food security scenario, and the ecological protection scenario. The carbon storage with the food security scenario could achieve 162.74 × 106 t in 2030. The carbon storage with the ecological protection scenario had an increase of 62.60 t/km2 compared to the historical natural tendency development. Interestingly, the food security scenario had the smallest carbon loss value which is about $1.39 × 109, and its net carbon storage value was the largest which is about $3.71 × 109. The results of this study could provide a scientific reference for the conservation of carbon storage and land use management for climate change and sustainable development. This paper also can lay the foundation for subsequent further studies such as artificial intelligence.

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Effect of altitudinal variation on carbon density in arbor layer and soil layer of Picea crassifolia forest in Qilian Mountains

Cited by 3 publications

References 0 publications

Relationships between Regenerating Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

Relationships between Regenerating Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

Relationships between Regeneration of Qinghai Spruce Seedlings and Soil Stoichiometry across Elevations in a Forest in North-Western China

Exploring ecosystem carbon storage change and scenario simulation in the Qiantang River source region of China

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