scholarly journals Leaf Stoichiometry of Potentilla Fruticosa Across Elevations Ranging from 2400 m to 3800 m in China’s Qilian Mountains (Northeast Qinghai-Tibetan Plateau)

2021 ◽  
Author(s):  
Wei Liu ◽  
yanyan Qin ◽  
Zhang Xiaofang ◽  
Jan F. Adamowski ◽  
Asim Biswas
Keyword(s):  
Tibetan Plateau ◽  
Leaf Nitrogen ◽  
Qilian Mountains ◽  
Slope Aspect ◽  
Organic C ◽  
Potentilla Fruticosa ◽  
Sparse Vegetation ◽  
P Loss ◽  
Leaf Stoichiometry ◽  
High Precipitation

Abstract Background: Plant species have developed their individual leaf stoichiometries to adapt to changes in the environment. Changes in plant leaf stoichiometry with elevation are largely undocumented, but could provide information critical to protecting or enhancing a species’ growth and development and manage the ecosystem housing it. We investigate the leaf stoichiometry of Potentilla fruticosa L. along with different elevations in China’s Qilian mountains (Northeast Qinghai-Tibetan Plateau). This study aims to reveal how elevations effect of the leaf stoichiometry of Potentilla fruticosa L. along with various soil properties in China’s Qilian mountains .Results: In our study, we selected seven elevations 2,400 m, 2,600 m, 2,800 m, 3,000 m, 3,200 m, 3,500 m, and 3,800 m elevation. We sampled leaves at top and middle of P. fruticosa from each of seven elevations. Maximum and minimum leaf carbon (C) concentrations ([C]leaf) of 523.59 g kg-1 and 402.56 g kg-1 were measured at 2,600 m and 3,500 m, respectively. Showing a generally increasing trend with elevation, leaf nitrogen (N) concentration ([N]leaf) peaked at 3,500 m (27.33 g kg-1). Leaf phosphorus (P) concentration ([P]leaf) varied slightly over elevations of 2,400 m to 3,200 m, then dropped to a minimum (0.60 g kg-1) at 3800 m. While [C]leaf:[N]leaf, [C]leaf:[P]leaf and [N]leaf:[P]leaf varied little between 2,400 m and 3,000 m, at higher elevations they fluctuated somewhat, the latter two showing a decrease at 3,200 m followed by an increase at higher elevations. The soil organic C, pH, and soil total P were the main factors influencing P. fruticosa leaf stoichiometry. The limiting nutrients were P. Conclusions: We highlight the dependency of leaf stoichiometry on slope aspect and elevation. As P. fruticosa is a major alpine shrub in this region and plays an important role in maintaining ecological functions and services on the Qinghai-Tibetan Plateau, measures should be adopted to improve P. fruticosa growth by preventing P loss, especially at higher elevations where significant P losses occur due to high precipitation and sparse vegetation.

scholarly journals Elevation Alone Alters Leaf N and Leaf C to N Ratio of Picea crassifolia Kom. in China’s Qilian Mountains

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1325
Author(s):  
Yalin Niu ◽  
Jianfang Kang ◽  
Haohai Su ◽  
Jan F. Adamowski ◽  
Asim Biswas ◽  
...  
Keyword(s):  
Leaf Nitrogen ◽  
Qilian Mountains ◽  
Mean Annual Precipitation ◽  
Mean Annual Temperature ◽  
Total N ◽  
Organic C ◽  
Picea Crassifolia ◽  
P Limitation ◽  
Leaf Stoichiometry ◽  
Qinghai Spruce

Leaf stoichiometry of plants can respond to variation in environments such as elevation ranging from low to high and success in establishing itself in a given montane ecosystem. An evaluation of the leaf stoichiometry of Qinghai Spruce (Picea crassifolia Kom.) growing at different elevations (2400 m, 2600 m, 2800 m, 3000 m, and 3200 m) in eastern China’s Qilian Mountains, showed that leaf carbon (LC) and leaf phosphorus (LP) were similar among elevations, with ranges of 502.76–518.02 g·kg−1, and 1.00–1.43 g·kg−1, respectively. Leaf nitrogen (LN) varied with changes of elevation, with a maxima of 12.82 g·kg−1 at 2600 m and a minima of 10.74 g·kg−1 at 2800 m. The LC:LN under 2400 m and 2600 m was lower than that under other elevations, while LC:LP and LN:LP were not different among these elevations. Except for LN and LC:LN, P. crassifolia’s other leaf stoichiometries remained relatively stable across elevations, partly supporting the homeostasis hypothesis. Variations in leaf stoichiometry across elevations were mainly linked to mean annual precipitation, mean annual temperature, soil pH, and the soil organic C to soil total N ratio. P. crassifolia growth within the study area was more susceptible to P limitation.

Warming increases soil carbon input in a Sibiraea angustata-dominated alpine shrub ecosystem

2021 ◽  
Author(s):  
Mei Liu ◽  
Jia-Hao Wen ◽  
Ya-Mei Chen ◽  
Wen-Juan Xu ◽  
Qiong Wang ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Root Exudates ◽  
Climate Warming ◽  
Root Exudate ◽  
Soil Organic C ◽  
Organic C ◽  
Root Litter ◽  
C Stocks ◽  
Alpine Shrub ◽  
Key Drivers

Abstract Aims Plant-derived carbon (C) inputs via foliar litter, root litter and root exudates are key drivers of soil organic C stocks. However, the responses of these three input pathways to climate warming have rarely been studied in alpine shrublands. Methods By employing a three-year warming experiment (increased by1.3 ℃), we investigated the effects of warming on the relative C contributions from foliar litter, root litter and root exudates from Sibiraea angustata, a dominant shrub species in an alpine shrubland on the eastern Qinghai-Tibetan Plateau. Important Findings The soil organic C inputs from foliar litter, root litter and root exudates were 77.45, 90.58 and 26.94 g C m -2, respectively. Warming only slightly increased the soil organic C inputs from foliar litter and root litter by 8.04 and 11.13 g C m -2, but significantly increased the root exudate C input by 15.40 g C m -2. Warming significantly increased the relative C contributions of root exudates to total C inputs by 4.6% but slightly decreased those of foliar litter and root litter by 2.5% and 2.1%, respectively. Our results highlight that climate warming may stimulate plant-derived C inputs into soils mainly through root exudates rather than litter in alpine shrublands on the Qinghai-Tibetan Plateau.

scholarly journals Brief communication: New evidence further constraining Tibetan ice core chronologies to the Holocene

2021 ◽  
Vol 15 (4) ◽  
pp. 2109-2114
Author(s):  
Shugui Hou ◽  
Wangbin Zhang ◽  
Ling Fang ◽  
Theo M. Jenk ◽  
Shuangye Wu ◽  
...  
Keyword(s):  
Tibetan Plateau ◽  
Ice Core ◽  
Ice Cores ◽  
Qilian Mountains ◽  
Time Range ◽  
The Holocene ◽  
Guliya Ice Core ◽  
Considerable Controversy ◽  
New Evidence

Abstract. There is considerable controversy regarding the age ranges of Tibetan ice cores. The Guliya ice core was reported to reach as far back as ∼760 ka (kiloannum, i.e. 1000 years), whereas chronologies of all other Tibetan cores cover at most the Holocene. Here we present ages for two new ice cores reaching bedrock, from the Zangser Kangri (ZK) glacier in the northwestern Tibetan Plateau and the Shulenanshan (SLNS) glacier in the western Qilian Mountains. We estimated bottom ages of 8.90±0.570.56 ka and 7.46±1.461.79 ka for the ZK and SLNS ice core respectively, further constraining the time range accessible by Tibetan ice cores to the Holocene.

scholarly journals Assessing Soil Quality for Sustainable Cropland Management Based on Factor Analysis and Fuzzy Sets: A Case Study in the Lhasa River Valley, Tibetan Plateau

2018 ◽  
Vol 10 (10) ◽  
pp. 3477 ◽  
Author(s):  
Fuqiang Dai ◽  
Zhiqiang Lv ◽  
Gangcai Liu
Keyword(s):  
Land Use ◽  
Tibetan Plateau ◽  
Soil Quality ◽  
Quality Index ◽  
Soil Types ◽  
The Tibetan Plateau ◽  
Soil Quality Index ◽  
Total N ◽  
Organic C ◽  
Land Use Types

Ecologically fragile cropland soils and intensive agricultural production are characteristic of the valley area of the Tibetan Plateau. A systematic assessment of soil quality is necessary and important for improving sustainable cropland management in this area. This study aims to establish a minimum data set (MDS) for soil quality assessment and generate an integrated soil quality index for sustainable cropland management in the Tibetan Plateau. Soil samples were collected from the 0–20 cm depths of agricultural land in the middle and lower reaches of the Lhasa River. These samples were analyzed by routine laboratory methods. Significant differences were identified via statistical test between different soil types and land use types for each soil property. Principal component analysis was used to define a MDS of indicators that determine soil quality. Consequently, effective porosity, pH, total organic C, total N, available P, and catalase were identified as the final MDS. The soil quality index was obtained by the fuzzy-set membership function and the linear weighted additive method. The soil quality index differed significantly between the soil types and land use types. The soil quality can be ranked based on their indices in the following order: 1. Grain land with meadow soils, 2. Grain land with steppe soils, 3. Greenhouse vegetable land with fluvo-aquic soils, 4. Grain land with fluvo-aquic soils. The soils with higher soil quality indices exhibited better soil structure, higher nutrient contents, and superior resistance to water and nutrient loss. While the intensive tillage practices associated with vegetable production could reduce the values for effective porosity, pH and catalase, the application of appropriate fertilizers increased the values for total organic C, total N and available P. Therefore, the MDS method is an effective and useful tool to identify the key soil properties for assessing soil quality, and provides guidance on adaptive cropland management to a variety of soil types and land use types.

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