基于多种同位素模型的侧柏林生态系统蒸散组分定量拆分

为了全面认识森林生态系统蒸散各组分及其对蒸散的贡献率在日尺度上的变化规律,本研究利用同位素稳态和非稳态假设理论结合水同位素分析仪系统,对生长季侧柏林生态系统蒸散各组分进行了定量拆分和比较。结果表明: 4个测定日(2016年8月5、8、10、11日)不同来源水体的¹⁸O都呈现表层土壤水氧同位素组成(δ_S)＞枝条水氧同位素组成(δ_X)＞大气水汽氧同位素组成(δ_V),说明三者可能因同位素分馏效应表现出明显的差异。土壤蒸发水汽氧同位素组成(δ_E)在日尺度上为-26.89‰～-59.68‰,整体上呈现出先上升后下降的变化趋势;森林生态系统蒸散水汽氧同位素组成(δ_ET)为-15.99‰～-10.04‰,稳态(ISS)下植物蒸腾水汽氧同位素组成(δ_T-ISS)为-12.10‰～-9.51‰,而非稳态(NSS)下植物蒸腾水汽氧同位素组成(δ_T-NSS)为-13.02‰～-7.23‰,在日时间尺度上δ_ET与δ_T-NSS全天的变化趋势一致,在11:00—17:00 δ_ET、δ_T-ISS与δ_T-NSS三者的变化趋势近似一致。总体上,植物蒸腾量对蒸散量的贡献率表现为F_T-ISS 79.1%～98.7%,而F_T-NSS 88.7%～93.7%。这表明研究区土壤蒸发耗水远小于植被蒸腾耗水,植被蒸腾在林地蒸散中起主导作用。     

毛乌素沙地油蒿-杨柴灌丛生态系统蒸散组分分配及其影响因子

蒸散发(ET)是生态系统水分循环和能量流动的重要组成部分,准确估算ET及其各组分,对认识生态生理过程对水分平衡和植物水分利用策略的影响具有重要意义。本研究于2019年5月20日至9月15日,利用涡度相关技术和微型蒸渗仪对毛乌素沙地油蒿-杨柴灌丛生态系统ET、蒸发(E)和蒸腾(T)进行测定和估算,量化了油蒿-杨柴灌丛生态系统ET组分,并分析ET及其组分的季节特征及影响因素。结果表明: T为毛乌素沙地油蒿-杨柴灌丛生态系统生长季ET的主要组分,T/ET为53.1%。T/ET值随降水减少而升高,E/ET值随降水减少而减少,蒸散组分分配主要受降水调控。在季节尺度上,E与10 cm深处土壤含水量(SWC₁₀)和太阳净辐射(R_n)呈显著正相关,其中,SWC₁₀是E的主要影响因素;T随R_n和叶面积指数(LAI)的升高而升高,随30 cm处土壤含水量(SWC₃₀)的升高呈先升高后降低的单峰趋势,受到SWC₃₀、R_n和LAI的共同影响;水分是ET的主要影响因素。生长季蒸散/降水量(ET/P)为109.2%,5月ET/P为250.5%,表明生长季初期ET耗水部分来自非生长季降水。     

Infrared thermography and odour composition of the Amorphophallus gigas (Araceae) inflorescence: the cooling effect of the odorous liquid

During the second blooming of a cultivated Amorphophallus gigas Teijsm and Binnend in the Botanical Gardens of the University of Tokyo, the surface temperature of the inflorescence was measured using an infrared camera. Contrary to studies of other species in the genus Amorphophallus, the surface of the inflorescence showed only very faint thermogenesis and had a lower temperature than that of the background. This cooling effect appeared to be due to a loss of heat through evaporation, which was caused by the secretion of a very large amount of odorous liquid. Chemical analysis revealed that the major components of this liquid were acetic acid, propionic acid, butyric acid and valeric acids. The composition of the odorous liquid was slightly different between the spathe surface and the sterile appendix. The major component(s) of the odorous material from the spathe was butyric acid, and from the sterile appendix was valeric acids. These components would play dual roles of adding the characteristic smell to the inflorescence and cooling the inflorescence.     

Crystallization Control of Ternary‐Cation Perovskite Absorber in Triple‐Mesoscopic Layer for Efficient Solar Cells

Controlling the crystallization of organic–inorganic hybrid perovskite is of vital importance to achieve high performing perovskite solar cells. The growth mechanism of perovskites has been intensively studied in devices with planar structures and traditional structures. However, for the printable mesoscopic perovskite solar cells, it is difficult to study the crystallization mechanism of perovskite owing to the complicated mesoporous structure. Here, a solvent evaporation controlled crystallization method to achieve ideal crystallization in the mesoscopic structure is provided. Combining results of scanning electron microscope and X‐ray diffraction, it is found that adjusting the evaporation rate of solvent can control the crystallization rate of perovskite and a model for the crystallization process during annealing in mesoporous structures is proposed. Finally, a homogeneous pore filling in the mesoscopic structure without any additives is successfully achieved and a stabilized power conversion efficiency of 16.26% using ternary‐cation perovskite absorber is realized. The findings will provide better understanding of perovskite crystallization in printable mesoscopic perovskite solar cells and pave the way for the commercialization of perovskite solar cells.     

森林积雪蒸发测算方法及研究进展

森林积雪蒸发(升华)动态的准确测算是正确理解森林积雪区地表能量和水量平衡的关键问题之一,也是区域水文模型和气候模式的重要环节.本文综述了现有的森林积雪蒸发测算方法,分析了质量平衡法(包括雪水当量法、降雪和穿透降雪对比测量法、雪面蒸发器法、蒸渗仪法、单株称量法、树冠截雪称量法和γ射线减弱技术)和微气象法(包括波文比能量平衡法、彭曼联合法、空气动力学法、表面温度技术和涡度相关法)的适用性.同时对不同森林类型积雪蒸发及其影响因素的研究进展进行了详细回顾,并结合现有研究的不足对今后的森林积雪蒸发研究进行展望,以期为未来的森林积雪蒸发相关研究提供指导.     

The application of δ¹⁸O and δD for understanding water pools and fluxes in a Typha marsh

The δ¹⁸O and δD composition of water pools (leaf, root, standing water and soil water) and fluxes [transpiration (T), evaporation (E)] were used to understand ecohydrological processes in a managed Typha latifolia L. freshwater marsh. We observed isotopic steady‐state T and deep rooting in Typha. The isotopic mass balance of marsh standing water showed that E accounted for 3% of the total water loss, T accounted for 17% and subsurface drainage (D) accounted for the majority (80%). There was a vertical gradient in water vapour content and isotopic composition within and above the canopy sufficient for constructing an isotopic mass balance of water vapour during some sampling periods. During these periods, the proportion of T in evapotranspiration (T/ET) was between 56 ± 17% and 96 ± 67%, and the estimated error was relatively high (>37%) because of non‐local, background sources in vapour. Independent estimates of T/ET using eddy covariance measurements yielded similar mean values during the Typha growing season. The various T/ET estimates agreed that T was the dominant source of marsh vapour loss in the growing season. The isotopic mass balance of water vapour yielded reasonable results, but the mass balance of standing water provided more definitive estimates of water losses.     

Response of maize biomass and soil water fluxes on elevated CO2 and drought—From field experiments to process‐based simulations

The rising concentration of atmospheric carbon dioxide (CO₂) is known to increase the total aboveground biomass of several C3 crops, whereas C4 crops are reported to be hardly affected when water supply is sufficient. However, a free‐air carbon enrichment (FACE) experiment in Braunschweig, Germany, in 2007 and 2008 resulted in a 25% increased biomass of the C4 crop maize under restricted water conditions and elevated CO₂ (550 ppm). To project future yields of maize under climate change, an accurate representation of the effects of eCO₂ and drought on biomass and soil water conditions is essential. Current crop growth models reveal limitations in simulations of maize biomass under eCO₂ and limited water supply. We use the coupled process‐based hydrological‐plant growth model Catchment Modeling Framework‐Plant growth Modeling Framework to overcome this limitation. We apply the coupled model to the maize‐based FACE experiment in Braunschweig that provides robust data for the investigation of combined CO₂ and drought effects. We approve hypothesis I that CO₂ enrichment has a small direct‐fertilizing effect with regard to the total aboveground biomass of maize and hypothesis II that CO₂ enrichment decreases water stress and leads to higher yields of maize under restricted water conditions. Hypothesis III could partly be approved showing that CO₂ enrichment decreases the transpiration of maize, but does not raise soil moisture, while increasing evaporation. We emphasize the importance of plant‐specific CO₂ response factors derived by use of comprehensive FACE data. By now, only one FACE experiment on maize is accomplished applying different water levels. For the rigorous testing of plant growth models and their applicability in climate change studies, we call for datasets that go beyond single criteria (only yield response) and single effects (only elevated CO₂).