Environmental Controls on Evapotranspiration and Its Components in a Qinghai Spruce Forest in the Qilian Mountains.

Qinghai spruce forests, found in the Qilian mountains, are a typical type of water conservation forest and play an important role in regulating the regional water balance and quantifying the changes and controlling factors for evapotranspiration (ET) and its components, namely, transpiration (T), evaporation (Es) and canopy interceptions (Ei), of the Qinghai spruce, which may provide rich information for improving water resource management. In this study, we partitioned ET based on the assumption that total ET equals the sum of T, Es and Ei, and then we analyzed the environmental controls on ET, T and Es. The results show that, during the main growing seasons of the Qinghai spruce (from May to September) in the Qilian mountains, the total ET values were 353.7 and 325.1 mm in 2019 and 2020, respectively. The monthly dynamics in the daily variations in T/ET and Es/ET showed that T/ET increased until July and gradually decreased afterwards, while Es/ET showed opposite trends and was mainly controlled by the amount of precipitation. Among all the ET components, T always occupied the largest part, while the contribution of Es to ET was minimal. Meanwhile, Ei must be considered when partitioning ET, as it accounts for a certain percentage (greater than one-third) of the total ET values. Combining Pearson's correlation analysis and the boosted regression trees method, we concluded that net radiation (Rn), soil temperature (Ts) and soil water content (SWC) were the main controlling factors for ET. T was mainly determined by the radiation and soil hydrothermic factors (Rn, photosynthetic active radiation (PAR) and TS30), while Es was mostly controlled by the vapor pressure deficit (VPD), atmospheric precipitation (Pa), throughfall (Pt) and air temperature (Ta). Our study may provide further theoretical support to improve our understanding of the responses of ET and its components to surrounding environments.

[Characteristics of Leontopodium leontopodioides leaf stochiometry with altitude and their relationship with soil nutrients in Qilian Mountains, Northwest China]. / ç¥è¿žå±±ä¸åŒæµ·æ‹”ç«ç»’è‰å¶ç‰‡ç”Ÿæ€åŒ–å­¦è®¡é‡ç‰¹å¾åŠå ¶ä¸ŽåœŸå£¤å »åˆ†çš„å ³ç³».

Foliar stoichiometry provides information on the biotic and abiotic changes of environment. We examined the stoichiometric characteristics of plant leaves at different altitudes to understand how plants adapt to environmental changes. Foliar stoichiometry of Leontopodium leontopodioides at various altitudes (2400, 2600, 2800, 3000 and 3200 m) were analyzed in the Qilian Mountains of China. Across the altitude gradient, mean value of leaf carbon content (LC), nitrogen content (LN), and phosphorous content (LP) of L. leontopodioides was 401.27, 23.99 and 1.22 g·kg-1, respectively. The mean value of LC:LN, LC:LP and LN:LP was 16.8, 352.5 and 20.7, respectively. LC, LC:LN, LC:LP and LN:LP initially increased with increases in altitude, rea-ching the maximum at 2600 m, then decreased, reaching the minimum at 3000 m, and finally increased again. LP exhibited the opposite trend. LN demonstrated an initial decrease with altitude, reaching the minimum at 2800 m, followed by an increase at higher altitudes. LC did not correlate with LN, but was significantly negatively correlated with LP. LN was significantly positively correlated with LP. There was no correlation between LN and any other stoichiometry ratios. LP showed a significantly negative correlation with other stoichiometry ratios. LC:LN, LC:LP, and LN:LP were positively correlated with each other. Both soil total nitrogen and total phosphorus affected LC and LN, whereas LP was significantly negatively correlated with soil total phosphorus. The results suggested that the growth of L. leontopodioides in the study region was mainly limited by P availability.

[Spatial heterogeneity of community structure of Picea crassifolia forest in Qilian Mountains, China].

We selected the grid of 5 m x 5 m in a dynamic monitoring plot (340 m x 300 m) as the sampling unites and chose 5 structural characteristics (density, average crown breadth, coverage, conspicuousness and average height) to study the spatial heterogeneity of community structure of Picea crassifolia forest in Dayekou Basin of Qilian Mountains by the fractal geometry and geostatistics methods. The results showed that the order of spatial variation in these characteristics was: density > average crown breadth > conspicuousness > coverage > average height, with the variation coefficient ranging from 43.7% to 79.6%. Moran's I index indicated that the structural variables had different degrees of spatial autocorrelation, and the order of autocorrelation was density > average height> coverage > average crown breadth > conspicuousness, with the range of -0.047-0.382. The exponential semivariation model well fitted the spatial variability in different structural features, and the range was 24.6-68.1 m. The variables displayed moderate spatial autocorrelation except for coverage, while the other variables had strong spatial autocorrelation, and the fractal dimension of the variables was close to 2, indicating a low spatial dependence among variables. The variables presented a superposing characteristic of zonal and patchy structures except for density and coverage, while the other variables presented strong patchiness property. Density and coverage had a certain spatial dependence on average crown breadth, conspicuousness and average height. Density and coverage for the spatial heterogeneity of community structural of P. crassifolia forests were 10 m and 0.5 hm2, respectively.