Search

[ Objective ] The study aims to understand the population variation of leaf anatomical structure of Quercus variabilis and its relationship with environmental factors. [ Methods ] The leaves of 28 naturally distributed Q . variabilis populations in China were studied by conventional paraffin sections combined with optical microscopy. Nested analysis of variance and Pearson correlation analysis were performed to analyze the relationship between population variation of leaf anatomical structure and environmental fac- tors. [ Results ] ( 1 ) There were significant difference in the anatomic traits of Q . variabilis leaves among 28 populations , and the average coefficient of variation was 7.84%-15.16% , while the variation range of the same leaf anatomic trait varied among different populations. ( 2 ) There were significant difference among the 9 anatomic traits within and among the populations , and the average phenotypic differentiation coefficient was 37.44%. The variation of anatomic traits mainly came from within the populations. ( 3 ) Leaf thickness , upper epidermal cell thickness , palisade tissue thickness , and spongy tissue thickness were significantly positively correlated with latitude , and mean annual temperature and annual precipitation had significant effects on the upper epidermal cell thickness and palisade tissue thickness. [ Conclusion ] The re- sults show that Q . variabilis has rich genetic diversity. To adapt to low temperature and drought , Q . variabilis leaves show a trend of thickening. The results provide a theoretical basis for understanding envi- ronmental adaptation strategies of Q . variabilis.

The Qinling Mountains, the so-called "central water tower," are extremely important water resource hubs in China. The influence of the forest ecological environment on water quality is complicated. Therefore, to investigate the spatiotemporal variations in water quality, we employed a random forest model to integrate multiple key water quality indicators into one overall ranking value. Monthly monitoring data of surface runoff and atmospheric precipitation events (2003–2022) for the Huodigou stream in the Qinling Mountains were used. The results revealed that after atmospheric precipitation entered the forest ecosystem, the coefficients of variation of surface runoff for most of the selected indicators decreased, but there were significant differences among the six indicators (NO3−, Mg2+, Na+, pH, K+, Ca2+). Most of the indicators within surface runoff were positively correlated, such as those in atmospheric precipitation. However, some indices of surface runoff were negatively correlated with those of atmospheric precipitation, and there was a significant negative correlation between Ca2+ in atmospheric precipitation and Ca2+ in surface runoff and between NO3−in atmospheric precipitation and K+ and Na+ in surface runoff (p < 0.01). The water quality grade of the surface runoff generated by atmospheric precipitation through forest ecosystems was significantly improved (p < 0.001), among which the average water quality grade of surface runoff was approximately 3.6, that is, between Grade I-3 and Grade I-4, whereas the average water quality grade of atmospheric precipitation was approximately 4.5, that is, between Grade I-4 and Grade I-5. The order of improved water quality was NO3− > Mg2+ > Na+ > pH > K+ > Ca2+. Overall, our assessment revealed that from 2003 to 2022, the water quality grade in the Huodigou stream improved and was more stable. In summary, the forest ecosystem in the Huodigou stream has a significant water quality purification effect on the atmospheric precipitation it receives. Our novel criterion-based approach for categorizing the water quality of atmospheric precipitation and surface runoff offers a new tool for examining spatiotemporal stream water quality variations in the Qinling region and other mountainous areas. [ABSTRACT FROM AUTHOR]

Across ecology, and particularly within microbial ecology, there is limited understanding how the generation and maintenance of diversity. Although recent work has shown that both local assembly processes and species pools are important in structuring microbial communities, the relative contributions of these mechanisms remain an important question. Moreover, the roles of local assembly processes and species pools are drastically different when explicitly considering the potential for saturation or unsaturation, yet this issue is rarely addressed. Thus, we established a conceptual model that incorporated saturation theory into the microbiological domain to advance the understanding of mechanisms controlling soil bacterial diversity during forest secondary succession. Conceptual model hypotheses were tested by coupling soil bacterial diversity, local assembly processes and species pools using six different forest successional chronosequences distributed across multiple climate zones. Consistent with the unsaturated case proposed in our conceptual framework, we found that species pool consistently affected α‐diversity, even while local assembly processes on local richness operate. In contrast, the effects of species pool on β‐diversity disappeared once local assembly processes were taken into account, and changes in environmental conditions during secondary succession led to shifts in β‐diversity through mediation of the strength of heterogeneous selection. Overall, this study represents one of the first to demonstrate that most local bacterial communities might be unsaturated, where the effect of species pool on α‐diversity is robust to the consideration of multiple environmental influences, but β‐diversity is constrained by environmental selection. [ABSTRACT FROM AUTHOR]