中国陆地生态系统碳源/汇整合分析

国家尺度陆地生态系统碳收支及其循环过程的研究对于提升地球系统科学与全球变化科学的科技创新能力、提高我国参与应对全球气候变化国际行动和维护国家利益的话语权、保障国家生态安全和改进生态系统管理都具有重要意义。近年来,我国已经在气候变化与陆地生态系统碳循环领域开展了大量的研究工作,主要包括国家清查、生态系统模型模拟、大气反演等手段。然而,由于大尺度陆地生态系统碳源/汇的估算存在很大的不确定性,目前尚未形成国家尺度的陆地生态系统碳源/汇的整合分析。通过搜集已发表的关于中国陆地生态系统及其组分碳源/汇的59篇文献,整合国家清查、生态系统模型模拟、大气反演3种研究手段,分析中国陆地生态系统碳源/汇大小以及时间尺度上的动态变化。结果表明,在1960s-2010s期间中国陆地生态系统碳汇整体呈上升趋势,平均为（0.213±0.030）Pg C/a,其中森林、草地、农田和灌木生态系统碳汇分别为（0.101±0.023）Pg C/a、（0.032±0.007）Pg C/a、（0.043±0.010）Pg C/a和（0.028±0.010）Pg C/a。森林生态系统中的植被碳汇远大于土壤碳汇,然而这种格局在草地和农田生态系统却相反,而且1960s-2010s期间中国主要植被类型的生态系统碳汇总体上随时间呈增加趋势。融合多源数据（地面观测、激光雷达、卫星遥感等）、多尺度数据（样地尺度、站点尺度、区域尺度）以及多手段数据（联网观测、森林清查、模型模拟）,有助于全面准确地评估中国陆地生态系统碳源/汇及其对气候变化的响应。     

丹江口水库淅川库区大气氮湿沉降特征

大气氮沉降是除河流输入外水库水体重要的外源氮输入途径。以丹江口水库淅川库区为研究区,于2018年11月至2019年10月在库区周边设置了6个采样点,采集并分析了库区大气氮湿沉降样品,探讨氮湿沉降的时空分布特征以及对水库水体外源氮输入的贡献。研究结果表明,研究区大气氮湿沉降量为24.21 kg hm^-2 a^-1,其中氨氮占比（47.45％）为最大,有机氮占比（36.34％）次之,硝氮占比（16.21％）最小。硝氮湿沉降量在空间上表现出显著差异性。氨氮、有机氮湿沉降量的季节差异显著,氨氮是以夏季最高,秋季次之,冬季最低,而有机氮是以秋季最高,夏季次之,冬季最低。氨氮、硝氮、有机氮湿沉降量之间存在显著相关性,氨氮、有机氮湿沉降量与降水量之间存在显著相关性。总氮、氨氮湿沉降量分别为1321.98 t/a和627.34 t/a,分别占河流总氮、氨氮入库量的10.82％、34.85％。研究结果可为探索有针对性的库区水体氮污染控制途径提供重要理论基础。     

冻融交替对长白山不同林型土壤两种温室气体排放的影响

以长白山5种林型土壤(硬阔叶林、红松阔叶林、次生白桦林、长白松林和蒙古栎林)为对象,利用原位培养连续取样法研究了冻融过程中5种林型土壤CO₂和N₂O排放特征及相关机理。结果表明:冻融期5种林型土壤是CO₂和N₂O的源。次生白桦林和红松阔叶林土壤CO₂和N₂O的平均通量显著高于其他3种林型。除硬阔叶林外,各林型土壤CO₂通量与土壤含水量间存在显著负相关,但不同林型的土壤CO₂排放对水分敏感性差异较大;除硬阔叶林外,各林型土壤N₂O通量与土壤含水量间存在显著正相关,但水分敏感性因林型而异。5种林型土壤CO₂和N₂O排放通量均与土壤表层温度呈二次函数关系。     

增氮对青藏高原东缘高寒草甸土壤甲烷吸收的早期影响

研究大气氮沉降对青藏高原高寒草甸土壤CH4吸收的影响,对于揭示氮素调节土壤CH4吸收的机制和评价氮沉降增加背景下大气CH4收支平衡至关重要.通过构建多形态、低剂量的增氮控制试验,测定土壤CH4净交换通量和相关土壤理化性质,分析高寒草甸土壤CH4通量变化特征及其主要驱动因子.研究结果表明:自然状态下高寒草甸土壤是大气CH4汇,CH4平均吸收量为(35.40±1.92) μg· m-2· h-1.土壤CH4吸收主要受水分驱动,其次为土壤NH4+-N和NO3-N含量.NH4+-N抑制CH4吸收,NO3--N促进CH4吸收;不同剂量氮素输入对土壤CH4吸收影响也不尽相同,低氮处理促进土壤CH4吸收,而中氮和高氮处理抑制土壤CH4吸收.结果显示青藏高原高寒草甸土壤是重要的大气CH4汇,在未来大气氮沉降加倍的情景下CH4汇功能增强,但当氮沉降量增加两倍以上时CH4汇功能将会减弱.     

基于逐时温湿度的小麦白粉病指标与模型

为了探索小麦白粉病发生流行与气象条件的动态关系,选择小麦感病品种,在河北省典型麦田安装冠层温湿度监测仪进行观测试验,同时进行大气温湿度的对比观测,得到田间冠层和大气逐时温湿度与白粉病系统调查病情资料,通过分析小麦白粉病流行速度与冠层、大气温湿度及其日变化的关系,提出了“日界限温度累计时”概念,建立了冠层与大气两种尺度白粉病流行速度的温湿度气象等级指标,并建立了基于冠层与大气两种尺度短临温湿度及其日变化的白粉病流行速度预测模型.利用所建指标进行2009年、2010年回代检验,符合率分别为67％、84％,2012年实际测报,符合率为87％;所建立的预测模型综合预报准确率达88％.本文所建立的指标与模型可用于小麦白粉病发生流行的动态监测预警和评估,同时为小麦白粉病气象深入研究提供线索和开拓思路.     

基于不同浓度变量的温带落叶阔叶林CO2储存通量的误差分析

利用帽儿山温带落叶阔叶林通量塔8层CO₂/H₂O浓度廓线的测定数据,比较分析了基于不同浓度变量\[密度(ρ_c)、摩尔分数(c_c)和混合比(χ_c)\]计算CO₂储存通量(F_s)的误差.结果表明： 通量观测的控制体积内部干空气储存量不为常数,其波动可引起CO₂分子进出控制体积,即干空气储存通量调整项(F_sd)的变化.在夜间以及昼夜转换期,F_sd相对于涡动通量而言较大,忽略F_sd将为森林与大气之间净CO₂交换量的计算带来误差.大气水热过程对F_s计算引起的误差包括3方面：空气温度变化引起的误差最大,比大气压强(P)的影响高1个数量级;水蒸气的影响在温暖湿润的夏季大于P的影响,但在寒冷干燥的冬季则相反; P的效应在全年均较低.基于ρ_c、c_c和χ_c计算F_s分别平均高估CO₂有效储存通量(F_{s_E})8.5%、0.6%和0.1%.在通量计算过程中,建议选择对大气水热过程守恒的χ_c计算F_s.     

植物叶片化石气孔参数与古海拔定量重建: 方法与进展

古海拔的定量重建在推演地球动力学模型、大气循环模式、古气候变化以及地球化学循环过程方面都具有十分重要的作用,但是迄今为止在古植物学和古环境研究领域中古海拔的定量重建仍然存在许多难点。本文在介绍目前古海拔定量重建领域几种方法的基础上,重点对植物叶片化石气孔参数及其应用与进展进行了讨论,着重介绍:(1)如何利用植物叶片化石气孔参数法恢复古海拔;(2)方法实践过程中的误差来源与分析;(3)应用实例及展望。     

《中国古植物志·银杏植物》出版

由中国科学院南京地质古生物研究所周志炎研究员?杨小菊研究员?吴向午研究员等耗费十余年时间编著的《银杏植物》专著(图1)于2020年在科学出版社正式出版。作为《中国古植物志》编辑委员会主编的一系列分册中的一册, 这是第一本编著完成并出版的古植物志书。 中国的古植物研究始自十九世纪后半叶,早期的论著都是由西方国家的学者发表, 直到二十世纪20年代以后才有中国学者开始研究中国的植物化石, 迄今为止也已过去近一个世纪。在过去的百余年里, 中国的古植物学走过了曲折而光辉的发展历程,取得了举世瞩目的成就, 特别是关于中生代银杏目化石的系统研究被誉为是该领域具有里程碑意义的工作。     

Responses of growth of four desert species to different N addition levels

Aims The increase in atmospheric N deposition has accelerated N cycling of ecosystems, thus altering the structure and function of ecosystems, especially in those limited by N availability. Studies on the response of plant growth to artificial N addition could provide basic data for a better understanding of how the structure of grasslands in northern China responds to increasing N deposition. Methods We investigated the seasonal dynamics of plant growth of four species after 2-year multi-level N addition in a field experiment conducted in a desert steppe of Ningxia in 2011. Plant biomass and the relative growth rate (RGR) of the studied species were measured and their relationships with C:N:P ratios of plants (community and leaf levels) and soils were analyzed. Important findings Results in 2012 showed that 2-year N addition promoted the growth of the four species and the effects were different among growth forms and were species-specific. In general, the plant biomass of the studied species was significantly correlated with leaf N concentration, leaf N:P ratio, community N pool, soil total N content and soil N:P ratio, while only weak relationships were observed between plant biomass and C:N and C:P ratios of plants and soils. In contrast, there was a significant linear relationship between RGR and N:P ratios both of plants and soils.Our results suggest that short-term N addition promoted the accumulation of plant biomass, and the species-specific responses to stimulated N addition can directly affect the structure of the desert steppe ecosystem. Plant N:P ratio and soil N:P ratio could indicate nutrient limitation of plant growth to a certain extent: N addition increased soil N content and N:P ratio, and thus relieved N limitation gradually. Once more N is available to plants, the growth of plants and the accumulation of community N was stimulated in turn.     

Effects of nitrogen addition on leaf traits of common species in natural Pinus tabuliformis forests in Taiyue Mountain,Shanxi Province,China

Aims Our objectives were to explore the effects of simulated nitrogen deposition on leaf traits and ecological stoichiometry characteristics of common species in natural Pinus tabuliformis forests.
Methods We conducted the experiment of nitrogen (N) addition from 2009 to 2013 in the natural Pinus tabuliformis forests in Taiyue Mountain, Shanxi, China. The levels of N addition were 0 (control), 50 (low-N), 100 (medium-N) and 150 (high-N) kg·hm^-2·a^-1, respectively. Eleven common plant species in 12 20 m × 20 m plots were selected, including Pinus tabuliformis, Quercus mongolica, Acer ginnala, Corylus mandshurica, Cornus bretschneideri, Spiraea salicifolia, Lonicera maackii, Carex callitrichos, Diarrhena mandshurica, Anemone tomentosa, and Polygonatum odoratum. Nine leaf traits were measured, including leaf thickness (LT), specific leaf area (SLA), leaf dry matter content (LDMC), leaf nitrogen content (LNC), leaf phosphorus content (LPC), and other four.
Important findings We found that: 1) LT and SLA of Polygonatum odoratum significantly differed among four levels of N addition. Leaf area (LA) and LDMC of several species, such as Spiraea salicifolia, had significant difference among the N addition concentration. LNC of all species, chlorophyll content (CC) and LPC of most species increased significantly with the addition of N. Leaf N:P of 9 species varied significantly, and leaves with different types and ages showed different responses to N addition. 2) Leaf traits were significantly correlated with each other. For instance, SLA was significantly positively correlated with LNC and LPC. In contrast LT was negatively connected with LNC and LPC. In addition, the degree of correlation changed with the level of N addition. 3) The pattern of species distribution in leaf trait space was consistent with the prediction from the theory of Leaf Economic Spectrum (LES). N addition drove species moving along axis 1 in the trait space, and propelled them towards different directions along axis 2, which indicated that these species tended to take the “fast investment-return” strategy. These results suggested that with the change of environmental conditions, plants changed their survival strategy and adjusted resource allocation to maintain the stability of communities. This is the inherent characteristic of plants, thus the formation of LES did not depend on the environment change.