青藏高原草地植物叶解剖特征

运用常规石蜡制片技术对我国青藏高原66种草地植物优势种的叶解剖特征进行研究,并分析了叶解剖特征与海拔、生长季降水及生长季均温之间的关系.结果表明:青藏高原草地植物叶片具有很多适应高寒环境的结构特征,如表皮层厚且表皮细胞大小差异显著,表皮毛等表皮附属物发达,异细胞丰富,通气组织普遍发达等;叶片各组成部分厚度的变异程度不同,其中海绵组织厚度变异最大,其次为上角质层、下表皮层、下角质层、上表皮层、栅栏组织,叶片厚度的变异最小;青藏高原草地植物叶片各组成部分的厚度存在协同进化,上下角质层厚度呈强烈正相关,海绵组织厚度与叶片厚度相关性最强;青藏高原草地植物叶片各组成部分的厚度与海拔、生长季降水、生长季均温3个重要环境变量呈较弱的相关性,总体表现为随海拔升高叶片各组成部分的厚度减小,而随生长季降水和生长季均温的增加叶片厚度增加.     

青藏高原草地双子叶植物叶片的气孔特征研究

利用光学显微镜对青藏高原29种草地双子叶植物叶片的气孔形态与数量特征进行观察及差异显著性分析,为揭示青藏高原草地双子叶植物对高原环境的适应机制及探索气孔作为辅助分类的依据奠定理论基础。结果表明:(1)青藏高原草地双子叶植物大多数种类在叶片上、下表皮均分布有气孔,气孔随机排列,气孔器多为无规则型。(2)气孔长度(SL)较小,上、下表皮的气孔平均长度分别为26.20μm与25.56μm,且气孔密度(SD)与气孔指数(SI)相对较大。(3)不同科、属、种间叶片上、下表皮的SL、SD、SI差异均极显著。(4)叶片上、下表皮的6个气孔数量特征之间具有显著相关关系。(5)上表皮的SL、SD与不同科、属、种间显著相关,下表皮除SI与物种间相关不显著外,其他指标与科、属、种间显著相关。研究认为,青藏高原草地双子叶植物独特的气孔形态与数量特征是对高寒极端环境长期适应的结果,且气孔数量特征对植物辅助分类具有重要价值。     

安徽黄精属(Polygonatum)植物叶表皮研究

利用光学显微镜及扫描电子显微镜观察了安徽省黄精属９种植物的叶表皮;统计并测量了气孔类型、气孔大小、气孔密度及气孔指数等;描述了表皮角质膜、蜡质纹饰、气孔的形状及气孔外拱盖等有关特征。结果表明：黄精属植物叶表皮气孔器类型属只有２个保卫细胞而无任何副卫细胞的单子叶植物气孔器类型。气孔的某些特征,如气孔器类型、气孔器分布特征、表皮细胞形状及垂周壁式样、角质层及蜡质纹饰等在种间差异不大,可作种间区别的次级特征用。     

不同倍性盾叶薯蓣(Dioscorea zingiberensis)叶表皮形态的比较

通过对二倍体(2x=20)、三倍体(3x=30)、四倍体(4x=40)盾叶薯蓣植株叶片上下表皮细胞密度、细胞形状系数,气孔器大小、气孔指数、气孔密度,以及气孔器保卫细胞叶绿体数与倍性相关性的比较,探讨多倍体在盾叶薯蓣倍性育种上的前景。结果表明:随着倍性增加,盾叶薯蓣表皮细胞密度、气孔器面积、长、宽、以及保卫细胞宽、保卫细胞叶绿体数均明显增大。气孔器面积和保卫细胞宽与倍性成正比,且差异显著,可以作为倍性鉴定的手段之一。     

高寒退化草地不同海拔狼毒种群花大小与叶大小、叶数量的关系

植物花大小与叶大小、叶数量的关系反映了植物长期与环境相互作用形成的外在形态方面的适应对策,不同生境中其生长关系的变异体现了植物对异质环境的适应方式。本文研究了祁连山北坡高寒退化草地4个不同海拔狼毒(Stellera chamaejasme)种群花大小与叶大小、叶数量的关系。结果表明:随着海拔的升高,草地群落的高度、密度和地上生物量均呈先升高后降低的倒U型分布;狼毒的地上生物量、株高和叶大小均呈减小趋势,而繁殖分配、花大小和叶数量均呈增大的变化趋势;在海拔梯度上,狼毒花大小与叶数量呈极显著正相关(P0.01),与叶大小呈不显著负相关(P0.05),说明狼毒种群花大小与叶数量具有显著的依赖关系;生境对狼毒花大小与叶数量之间的依赖关系产生显著影响,高海拔的环境胁迫导致狼毒个体减小,植株通过增加花大小和叶数量、减小叶大小的资源分配策略来保证物种的繁衍。     

非生长季降水对青藏高原高寒草甸优势种生物量稳定性的影响

受全球气候变化的影响,青藏高原在过去的几十年间整体上呈现暖湿化的趋势,相比于年际之间温度和降水的变化外,生长季和非生长季气候变化模式的差异可能会对生态系统产生更重要的影响,但相关的研究尚不充分。以青藏高原东部的高寒草甸为研究对象,基于2001年至2017年17年的野外观测数据,包括优势植物紫花针茅的高度、多度以及生物量、次优势物种洽草的生物量,结合生长季和非生长季平均温度和降水量的变化,通过线性回归以及结构方程模型,探究生长季/非生长季不对称气候变化对于青藏高原高寒草甸优势物种生物量稳定性的影响。研究结果表明：1)青藏高原东部年均温和年降水在过去的17年间显著增加,呈现暖湿化的趋势,但是非生长的降水却变化不明显;2)紫花针茅的高度、多度以及生物量在过去17年没有显著的趋势,但是洽草的生物量稳定性显著减少;3)非生长降水结合紫花针茅的高度、多度以及洽草的生物量稳定性促进了紫花针茅的生物量稳定性。研究结果可以为青藏高原高寒草甸在未来气候变化的背景下合理保护与利用提供科学依据。     

降水变化对藏北高寒草原化草甸降水利用效率及地上生产力的影响

降水总量、分配方式及其发生时间共同决定了青藏高原植被生长的水分条件,而降水利用效率(PUE,地上生产力与降水量的比值)是评估降水与植被生产力关系的有效指标.本研究以藏北当雄高寒草原化草甸为研究对象,利用多年生物量采样数据与同期遥感EVI植被指数建立线性模型,反演了2000-2016年地上净初级生产力(ANPP),结合同时期气象数据,以生长季降水量(GSP)表征降水总体状况,改进的降水集度指标(PCI)表征生长季降水分配,降水重心(PC)表征降水集中时间,并结合生长季均温(GST),利用结构方程分析了气候因子对当雄草地降水利用效率和地上生产力的影响.结果表明: 当雄草地ANPP主要受生长季降水影响,GSP与ANPP呈显著正相关,而GST与PUE、ANPP无显著相关关系;PCI与PUE呈显著正相关,表明降水集中分布有利于PUE增加;PCI与ANPP相关的间接系数大于直接系数,表明PCI通过PUE影响ANPP;降水集中时间(PC)变化则对PUE和ANPP没有显著影响.在青藏高原显著的气候变暖背景下,降水量和降水集度的变化都将会对藏北高寒草地的地上生产力产生重要影响.     

石灰岩特有植物圆叶乌桕叶表皮形态特征及其生态适应性研究

采用扫描电子显微镜和光学显微镜,对石灰岩特有植物圆叶乌桕与同属的乌桕、山乌桕的叶表皮微形态进行观察,比较3个种的叶表皮形态特征,分析圆叶乌桕在石灰岩地区生长的环境适应特点。结果表明:圆叶乌桕叶下表皮细胞小且呈无规则型,细胞排列紧密;气孔集中分布于下表皮,气孔密度和气孔指数相对最小;气孔类型是无规则型,无副卫细胞;圆叶乌桕上下叶表皮有厚角质层和蜡质层,蜡被呈片状和网状。圆叶乌桕的叶表皮微形态特征反映了它对石灰岩生境的适应性较强。     

安徽羽叶报春和毛茛叶报春的微形态特征

在扫描电子显微镜和光学显微镜下,观察了安徽羽叶报春(Primula merrilliana Schltr.)与毛茛叶报春(Primula cicutariifolia Pax)的种子、花粉形态及表面纹饰与叶表皮形态结构.结果表明:2种类的种子都呈不规则七面体或多面体,多具五边形纹饰;安徽羽叶报春的种皮雕纹浅,网眼具许多小的乳头状突起;毛茛叶报春的种皮雕纹明显,网眼粗糙,具许多大的乳头状突起.2种类花粉均为球形,具散孔(孔数达10个以上),具网状雕纹.2种类的叶表皮细胞呈凹凸镶嵌状不规则排列,而在中脉处呈长方形或略带微波状长方形,上表皮细胞稍大;叶两面被腺毛,且顶端具水孔.气孔的分布属于偏叶下表面生长,在边缘处尤密,而在中脉处近无;相对而言,安徽羽叶报春的气孔略比毛茛叶报春的气孔小,且密度也低;电子显微镜下2种类的气孔外拱盖内缘光滑,保卫细胞外缘隆起明显,中间凹陷,其上着生的乳头状突起安徽羽叶报春不如毛茛叶报春明显.     

中国野生百合叶表皮特征及系统学意义

利用光学显微镜和扫描电镜对20个野生百合种或变种的叶表皮进行了系统观察和比较分析,结果表明:(1)20种野生百合气孔器均分布于叶片远轴面,气孔器的长轴与远轴面细胞长轴方向一致,均位于远轴面细胞的端点处。气孔器形状从长椭圆形到近圆形不等;保卫细胞均为肾形,无副卫细胞,保卫细胞表面角质层均具条纹;表皮细胞角质层近于光滑或具条纹,均具蜡质,蜡质纹饰呈膜片状晶体或颗粒状;气孔密度、气孔器大小、近轴面远轴面细胞、垂周壁样式差异较大。(2)聚类分析表明,兰州百合、川百合、卷丹百合、紫斑百合、乳头百合、宝兴百合、山丹百合、大理百合、绿花百合、毛百合和有斑百合聚为类群Ⅰ;淡黄花百合、岷江百合和玫红百合3个野生种聚为类群Ⅱ;青岛百合单独为类群Ⅲ;宜昌百合、紫脊百合、通江百合、百合和野百合聚为类群Ⅳ,聚类结果总体上支持形态学分类的结果。(3)叶表皮形态对于区分野生百合不同种具有重要的分类学价值。     

内蒙古主要草原类型植物物候对气候波动的响应

物候是气候变化的指示者,由于不同地区植被类型不同,导致其对气候波动的响应方式不同。利用2004—2013年内蒙古草原区生态监测站群落优势种物候观测资料和同时段的气象资料,分析了不同草原类型区优势种物候期变化及其与气候因子间的相互关系,结果表明:(1)2004—2013年内蒙古草原区各时段气候波动趋势均不显著,返青前以气温降低、降水增加趋势为主;黄枯前草甸草原、典型草原以气温降低、降水增加趋势为主,荒漠草原变化趋势相反。(2)2004—2013年典型草原植物返青期平均提前4.01 d,黄枯推后10.35 d,生长季延长14.36 d;草甸草原返青期提前2.04 d,黄枯期推后12.68 d,生长季延长14.72 d;荒漠草原物候变化趋势最小,返青期平均提前了1.32 d,黄枯期平均推后了9.58 d,生长季延长了10.90 d。(3)内蒙古草原区植物返青期主要受气温波动的影响,草甸草原返青期与前3个月平均气温的负相关最为显著,气温每升高1℃,返青期约提前1.123 d;典型草原、荒漠草原返青期与前2个月平均气温的负相关最为显著气,气温每升高1℃,返青期约提前1.137 d和1.743 d。(4)典型草原区植物黄枯期受前1—2月平均气温和累积降水的共同影响,与夏季平均气温和当月降水量的相关最为显著,夏季气温每升高1℃,黄枯期约提前2.250 d,当月降水每增加1 mm,黄枯期约推后0.119 d。草甸草原、荒漠草原植物黄枯期与各时段降水、气温的相关均不显著,影响黄枯机制比较复杂。     

2000-2021年青藏高原生长季植被敏感性的时空变异

为揭示青藏高原陆地生态系统对气候变化敏感性的时空变异性,基于植被敏感性指数(Vegetation Sensitivity Index, VSI),使用2000—2021年青藏高原6—8月生长季MODIS EVI和ERA5再分析资料的温度、降水和太阳辐射数据,首先探究了22年里青藏高原陆地生态系统敏感性的空间变异性及其主要气候驱动因素,其次探究了青藏高原VSI在P₁(2000—2006年)、P₂(2007—2013年)和P₃(2014—2021年)时期内VSI的时间变异性,研究表明：(1)2000—2021年青藏高原生长季VSI的空间异质性较强,其中东南部灌木和森林的VSI较高,而西北部高山荒漠、高山草原和高山草甸的VSI较低;(2)22年里温度、降水和太阳辐射分别主导着青藏高原55.89%、19.24%和24.87%地区的VSI变化,其中温度主导着东南部灌木和森林的VSI,降水主导着东北大部分地区高山草甸的VSI,而太阳辐射主导着西南大部分地区高山草原的VSI。时间变异性结果表明：(3)P₁—P     

Climatic factors controlling interannual variability of the onset of vegetation phenology in the northern Sub-Saharan Africa from 1988 to 2013

Satellite-based evaluations of change in vegetation phenology have been explored extensively but land cover-specific climate factors driving these anomalous changes are not fully understood in northern Sub-Saharan Africa. In this study, we identified the climatic factors controlling the start of the season (SOS) extracted from GIMMS NDVI from 1988 to 2013 with onset of rainy season (ORS), annual mean temperature (Temp) and precipitation (PP) through the stepwise regression analysis. The results showed that the SOS shifted towards a late onset in a northward direction with distinct earlier and later trends in grassland and cropland, respectively. The stepwise regression has successfully built a model between SOS and its drivers in 46.0% of the total pixels, where its primary factor differed regionally across land covers. The ORS explained the local anomalous SOS change primarily at 44.7% of the pixels where the model was built. Although the ORS was the primary dominant factor in savannah and cropland, the Temp and PP were leading in grassland and shrubland, respectively, and all factors contributed evenly in evergreen forest. The difference of land cover-specific primary factor implicates complex process in dependency of local vegetation phenology on physiological traits and climate regime across land cover in Sub-Saharan Africa.     

青藏高原高寒湿地GPP变化特征及对生长季积温的响应

基于涡度相关系统,利用2004—2016年的涡度相关系统观测资料,做了青藏高原高寒湿地生长季总初级生产力(GPP)在不同时间尺度上对生长季有效积温(GDD)响应的研究。结果表明:高寒湿地生态系统在生长季的日GPP、GDD与月际GPP、GDD都表现为先增大后减小的单峰变化趋势,都在7月或8月达到峰值,在5月达到最小值。在整个生长季尺度上,GPP与GDD变异性较大,没有明显的变化趋势。2004—2016年整个生长季GPP与GDD的均值分别为(458.82±25.78) gC m^-2季^-1和(1060.89±84.07)℃。在日尺度、月尺度、生长季尺度上,GPP与GDD都呈极显著正相关关系(P<0.01)。但是,通过比较生长季分别每个月GPP与GDD的关系发现,5、9月的GPP与GDD没有显著相关性(P>0.05),而在7月相关性最为显著(P<0.01)。整体上看,高寒湿地生态系统植被的总初级生产力与热量条件表现为正相关关系,由此说明在全球气候变暖的背景下,将会提高青藏高原高寒湿地生态系统植被的光合生产能力。     

Nitrogen controls the net primary production of an alpine Kobresia meadow in the northern Qinghai‐Tibet Plateau

Net primary production (NPP) is a fundamental property of natural ecosystems. Understanding the temporal variations of NPP could provide new insights into the responses of communities to environmental factors. However, few studies based on long‐term field biomass measurements have directly addressed this subject in the unique environment of the Qinghai‐Tibet plateau (QTP). We examined the interannual variations of NPP during 2008–2015 by monitoring both aboveground net primary productivity (ANPP) and belowground net primary productivity (BNPP), and identified their relationships with environmental factors with the general linear model (GLM) and structural equation model (SEM). In addition, the interannual variation of root turnover and its controls were also investigated. The results show that the ANPP and BNPP increased by rates of 15.01 and 143.09 g/m² per year during 2008–2015, respectively. BNPP was mainly affected by growing season air temperature (GST) and growing season precipitation (GSP) rather than mean annual air temperature (MAT) or mean annual precipitation (MAP), while ANPP was only controlled by GST. In addition, available nitrogen (AN) was significantly positively associated with BNPP and ANPP. Root turnover rate averaged 30%/year, increased with soil depth, and was largely controlled by GST. Our results suggest that alpine Kobresia meadow was an N‐limited ecosystem, and the NPP on the QTP might increase further in the future in the context of global warming and nitrogen deposition.     

Spring phenology rather than climate dominates the trends in peak of growing season in the Northern Hemisphere

Shifts in plant phenology regulate ecosystem structure and function, which feeds back to the climate system. However, drivers for the peak of growing season (POS) in seasonal dynamics of terrestrial ecosystems remain unclear. Here, spatial–temporal patterns of POS dynamics were analyzed by solar-induced chlorophyll fluorescence (SIF) and vegetation index in the Northern Hemisphere over the past two decades from 2001 to 2020. Overall, a slow advanced POS was observed in the Northern Hemisphere, while a delayed POS distributed mainly in northeastern North America. Trends of POS were driven by the start of growing season (SOS) rather than pre-POS climate both at hemisphere and biome scale. The effect of SOS on the trends in POS was the strongest in shrublands while the weakest in evergreen broad-leaved forest. These findings highlight the crucial role of biological rhythms rather than climatic factors in exploring seasonal carbon dynamics and global carbon balance.     

A comparison of growing season indices for the Greater Baltic Area

Predictions of the effects of global warming suggest that climate change may have large impacts on ecosystems. The length of the growing season is predicted to increase in response to increasing global temperatures. The object of this study was to evaluate different indices used for calculating the thermal growing season for the Greater Baltic Area (GBA). We included established indices of growing season start, end and length, as well as new and modified indices. Based on the results, the GBA can be divided into a maritime western part and a more continental eastern part, with the western part reacting more sensitively to the use of different indices. The eastern part is more stable, but even here the index-to-index differences are large. It was found that including or excluding a frost criterion had a significant influence on the initiation of the growing season in the western, maritime, parts of the GBA. Frost has not the same importance for the end of the growing season. However, some end indices can result in a “never ending” growing season. When looking at twentieth century trends in growing season parameters, it was found that, when averaged over the whole GBA, there was little difference in trends depending on the indices used. The general mean trend in the GBA for the twentieth century discloses an earlier onset of c. 12 days, a delayed end of c. 8 days and consequently a lengthening of the growing season of about 20 days.     

Variability of the start of the growing season in Fennoscandia, 1982–2002

Fennoscandia is characterized by a large degree of climatic diversity. Vegetation phenology may respond differently to climate change according to the climatic gradients within the region. To map the annual and spatial variability of the start of the growing season (SOS) in Fennoscandia, the twice-monthly GIMMS-NDVI satellite dataset was used. The data set has an 8 × 8 km² spatial resolution and covers the period from 1982 to 2002. The mapping was done by applying pixel-specific threshold values to the NDVI data. These threshold values were determined form surface phenology data on birch (Betula sp.). Then, we produced NDVI based maps of SOS for each of the 21 years. Finally, the time differences between the SOS and the last day of snow cover, as well as dates of passing different temperatures, were analyzed for 21 meteorological stations. The analyses showed that 1985 was the most extreme year in terms of late SOS. In terms of early SOS, the year 1990 was by far the most extreme. Locally, the SOS has an average range of 1 month between the earliest and latest recorded SOS, with a trend towards a bigger range in the oceanic parts. The results indicate that a 1°C increase in spring temperatures in general corresponds to an advancement of 5–6 days in SOS. However, there is a clear trend according to the degree of oceanity, with a 1°C increase in the most oceanic parts corresponding roughly to 7–9 days earlier SOS, compared to less than 5 days earlier in the continental parts.