2013-2018年武夷山亚热带常绿阔叶林乔木层动态

从植物群落组成和结构的角度研究森林群落的演替规律,是探究森林群落的退化与恢复过程及相关机制的重要途径,对于指导天然林保护和恢复具有重要理论价值和实践意义。2018年,对面积为9.6 hm~2的武夷山亚热带常绿阔叶林样地进行了第2轮调查,并从重要值、物种多度、物种丰富度、Shannon-Wiener多样性指数、Simpson指数、Margalef丰富度指数、Pielou均匀度指数、死亡率、补员率、种群大小变化率、相对适合度、胸径变异系数等角度分析了乔木层群落动态。结果表明：2018年的乔木个体为48科88属174种,较2013年增加了1种。Margalef丰富度指数上升,Shannon-Wiener多样性指数、Simpson指数、Pielou均匀度指数均略有下降。DBH≥1 cm的乔木个体从68336个减少到63897个,共死亡7430个个体,补员2991个个体。群落的年死亡率为2.30%,年补员率为0.96%,种群大小变化率为-1.34%,相对适合度为0.42。群落的平均胸径从5.02(±0.02) cm上升为5.49(±0.03) cm。28个重要值之和由71.92%下降为71.81...     

基于土地利用及植被覆盖变化的黄河源区生境质量时空变化特征

位于青藏高原腹地的黄河源地区生态环境脆弱,面临生物多样性锐减、生态系统退化等问题,黄河源区生态系统保护及其高质量发展已成为国家的重点战略之一。土地利用与植被覆盖是影响生境质量的重要因素,定量化土地利用方式、强度及格局和植被覆盖格局对生态质量影响的研究越来越受到关注,但其对黄河源区生态质量的耦合效应尚不明确。基于2000年和2015年黄河源区土地利用类型及生长季归一化植被指数（NDVI）,采用InVEST模型探究了不同时期黄河源区生境质量时空变化,并采用地理加权回归（GWR）模型揭示了生境质量对土地利用和植被覆盖变化的空间响应特征。结果表明,2000年与2015年土地利用类型变化主要为未利用土地向草地的转移。植被覆盖变化方面,源区生长季NDVI整体上升。从生境质量的空间分布来看,黄河源区生境质量总体呈现南高北低的空间格局,高值分布在南部及中部地区,低值分布在北部布青山、东北部高海拔区及黄河乡的黄河沿岸。相较于2000年,2015年黄河源区生境质量平均提高11.47%。草地面积和NDVI与生境质量均呈显著正相关关系,其中NDVI是提高黄河源区生境质量的重要驱动因子。研究结果突出了NDVI对提高黄河源区生境质量的主导作用,可为未来源区生态保护提供借鉴。     

The C2 Domain and Altered ATP-Binding Loop Phosphorylation at Ser359 Mediate the Redox-Dependent Increase in Protein Kinase C-δ Activity

The diverse roles of protein kinase C-δ (PKCδ) in cellular growth, survival, and injury have been attributed to stimulus-specific differences in PKCδ signaling responses. PKCδ exerts membrane-delimited actions in cells activated by agonists that stimulate phosphoinositide hydrolysis. PKCδ is released from membranes as a Tyr³¹³-phosphorylated enzyme that displays a high level of lipid-independent activity and altered substrate specificity during oxidative stress. This study identifies an interaction between PKCδ''s Tyr³¹³-phosphorylated hinge region and its phosphotyrosine-binding C2 domain that controls PKCδ''s enzymology indirectly by decreasing phosphorylation in the kinase domain ATP-positioning loop at Ser³⁵⁹. We show that wild-type (WT) PKCδ displays a strong preference for substrates with serine as the phosphoacceptor residue at the active site when it harbors phosphomimetic or bulky substitutions at Ser^359. In contrast, PKCδ-S359A displays lipid-independent activity toward substrates with either a serine or threonine as the phosphoacceptor residue. Additional studies in cardiomyocytes show that oxidative stress decreases Ser³⁵⁹ phosphorylation on native PKCδ and that PKCδ-S359A overexpression increases basal levels of phosphorylation on substrates with both phosphoacceptor site serine and threonine residues. Collectively, these studies identify a C2 domain-pTyr³¹³ docking interaction that controls ATP-positioning loop phosphorylation as a novel, dynamically regulated, and physiologically relevant structural determinant of PKCδ catalytic activity.     

Potential Contribution of Anammox to Nitrogen Loss from Paddy Soils in Southern China

The anaerobic oxidation of ammonium (anammox) process has been observed in diverse terrestrial ecosystems, while the contribution of anammox to N₂ production in paddy soils is not well documented. In this study, the anammox activity and the abundance and diversity of anammox bacteria were investigated to assess the anammox potential of 12 typical paddy soils collected in southern China. Anammox bacteria related to “Candidatus Brocadia” and “Candidatus Kuenenia” and two novel unidentified clusters were detected, with “Candidatus Brocadia” comprising 50% of the anammox population. The prevalence of the anammox was confirmed by the quantitative PCR results based on hydrazine synthase (hzsB) genes, which showed that the abundance ranged from 1.16 × 10⁴ to 9.65 × 10⁴ copies per gram of dry weight. The anammox rates measured by the isotope-pairing technique ranged from 0.27 to 5.25 nmol N per gram of soil per hour in these paddy soils, which contributed 0.6 to 15% to soil N₂ production. It is estimated that a total loss of 2.50 × 10⁶ Mg N per year is linked to anammox in the paddy fields in southern China, which implied that ca. 10% of the applied ammonia fertilizers is lost via the anammox process. Anammox activity was significantly correlated with the abundance of hzsB genes, soil nitrate concentration, and C/N ratio. Additionally, ammonia concentration and pH were found to be significantly correlated with the anammox bacterial structure.