全球变暖对淡水湖泊浮游植物影响研究进展   总被引：9，自引：6，他引：3  

邓建明  秦伯强 《湖泊科学》2015,27(1):1-10

全球变暖对湖泊生态系统的影响已经成为近年来湖沼学领域的研究热点.本文首先列举了目前研究全球变暖对淡水湖泊浮游植物影响的常用方法:监测数据分析、时空转换、遥感信息提取、控制实验、模型预测和古湖沼学技术等.研究结果表明气候变暖导致的气温升高、湖泊热力分层提前破坏以及无冰期提前等因素可导致春季物候提前;在全球变暖大背景下浮游植物群落结构正朝着蓝藻占优的方向发展,但是不同地区以及不同物种对全球变暖的响应不一致.在营养盐充足的湖泊中,由于全球变暖延长了浮游植物生长季节等,从而能提高浮游植物初级生产力;但在贫营养湖泊中,浮游植物初级生产力与变暖趋势甚至可能呈负相关.由于生态系统往往是多因子的共同作用,这也使得全球变暖对浮游植物群落的影响效应复杂化,区分各因子的净影响份额是目前研究的一个难点;全球变暖引起的风场改变会促进浅水湖泊中营养盐从底泥的释放,同时也会增加水体中悬浮物的浓度而影响水下光场,因此开展气候变化对再悬浮及浮游植物群落结构的影响可能是将来研究的一个切入点.  相似文献   

青藏高原土壤水分变化对近地面气温的影响     

范科科  张强  孙鹏  宋长青  余慧倩  朱秀迪  申泽西 《地理学报》2020,75(1):82-97

青藏高原为全球气候变化最为敏感的区域之一,探讨该地区土壤水分变化对近地面气温的影响将为青藏高原水汽循环研究及该地区对周边气候与环境的影响研究提供重要理论支撑。利用NCEP-CFSR数据集,基于土壤水分对近地面气温的影响机理,揭示了青藏高原不同季节、不同植被分区下土壤水分时空分异规律、土壤水分与蒸发率的响应与耦合状态及土壤水分通过蒸散发过程对近地面气温的影响。结果表明：① 不同季节下青藏高原土壤水分空间分布基本一致,除西北地区和喜马拉雅山脉外,整体呈现由东南向西北递减趋势,青藏高原地区存在干旱区变湿,湿润区变干的空间特征;② 青藏高原大部分区域土壤水分处于干湿过渡状态,其中青藏高原南部和东南部地区全年处于干湿过渡状态,而柴达木盆地几乎全年处于干旱状态;③ 近地面气温对土壤水分的响应在冬季最弱,在夏季最强且空间差异较小,其中在冬、春、夏季为负反馈,另外不同植被覆盖区近地面气温对土壤水分的敏感性差异很大。此项研究对于进一步探讨青藏高原地区陆气耦合状态及变化环境下的区域水汽循环及其效应具有重要理论意义。  相似文献   

植物始花期对气候变化响应的激素调控机理研究进展     

张湜溪  戴君虎  葛全胜 《地理科学进展》2019,38(7):1045-1055

植物物候对气候变化的响应非常敏感,是指示全球变化对生态系统影响的重要证据。其中植物花期变化影响植物繁殖与进化,具有重要意义。大量研究表明,随着全球气候变暖,北半球植物始花期普遍提前。而关于气候变暖对植物始花期影响的内在机理并没有明确解释。植物激素是植物体内对植物开花等生理活动有显著调控作用的有机物,可对环境刺激作出响应并直接参与调控植物始花期,导致始花期的提前或延后。对植物激素在植物中表达与变化的精确测定有助于了解植物始花期对气候变化响应的内在机理。论文综述了植物激素对植物开花时间的调控作用以及目前植物激素最先进的检测方法,探讨了植物激素及相关代谢产物在植物体内的含量变化对植物始花期的影响;提出通过植物激素研究植物始花期对气候变化响应的激素调控机理,为探索植物物候对气候变化响应提供新的研究思路与手段。  相似文献   

The Response of First Flowering Dates to Abrupt Climate Change in Beijing   总被引：1，自引：0，他引：1  

BAI Jie  GE Quansheng  DAI Junhu 《大气科学进展》2011,28(3):564-572

Phenological data on the First Flowering Date(FFD) of woody plants in Beijing from 1963-2007 are analyzed.The correlation between each species’ yearly FFD and the mean monthly temperatures for every year over a 45-year period is used to identify the month in which temperature has the most effect on FFD. Through further analysis,the FFDs of 48 woody plant species are shown to have advanced an average of 5.4 days from 1990-2007 compared to 1963-1989.The results indicate that 70.8%of species flowered significantly earlier(7 days on average) during the period 1990-2007,while only one species(2.1%) flowered significantly later.Moreover,the responses of FFD to climate change are shown to be different in two climatic stages, defined by an abrupt climate change point.Thirty-three species which first flower in March and April are sensitive to temperature are examined.The correlation coefficients between FFD and temperature for 20 species during the latter period(1990-2007) are shown to be larger than during the former period(1963- 1989),with a difference of around -0.87 days per 1℃on average.The paper concludes that with the warming of climate,the linear trend of FFD variation,as well as its responsiveness to temperature,became more prominent during 1990-2007 than 1963-1989.The data analyzed in this study present a strong biological indicator of climate change in Beijing,and provide further confirmation of previous results from regional and local studies across the Northern Hemisphere.Phenophase variations indicate that the climate is changing rapidly.  相似文献   

初至时间反演静校正技术的发展趋势及实践效果     

蒋在超  张绪健  蒋琳  李林  薛为平 《物探化探计算技术》2011,33(1):6-10,117

随着勘探区域近地表结构复杂程度地增加,以往那些在油气勘探中发挥了重要作用的单一静校正方法,越来越难以适应现今勘探对资料构造形态和成像品质的要求。因此通过尽可能多的表层资料信息,分层系、分阶段,有针对性地应用不同方法建立综合表层模型,是静校正技术发展的新趋势。经泉1井三维的实践证明,以表层资料解释及可视化模型时时关联互动为基础,从简单到复杂、逐级迭代相互约束的综合应用新技术,能有效反演并校正复杂构造区浅地表结构。不仅能提高地震资料成像的精度,改善构造形态,还能在一定程度上避免野外微测井采集数量的过度增加,减少勘探费用。  相似文献   

Global nonlinear and nonstationary climate change effects on regional precipitation and forest phenology in Panama,Central America          下载免费PDF全文

Ni‐Bin Chang  Miguel Valdez Vasquez  Chi‐Farn Chen  Sanaz Imen  Lee Mullon 《水文研究》2015,29(3):339-355

  相似文献   

Remotely-sensed phenology of Italian forests: Going beyond the species     

《International Journal of Applied Earth Observation and Geoinformation》2019

Remotely sensed observations of seasonal greenness dynamics represent a valuable tool for studying vegetation phenology at regional and ecosystem-level scales. We investigated the seasonal variability of forests in Italy, examining the different mechanisms of phenological response to biophysical drivers. For each point of the Italian National Forests Inventory, we processed a multitemporal profile of the MODIS Enhanced Vegetation Index. Then we applied a multivariate approach for the purpose of (i) classifying the Italian forests into phenological clusters (i.e. pheno-clusters), (ii) identifying the main phenological characteristics and the forest compositions of each pheno-cluster and (iii) exploring the role of climate and physiographic variables in the phenological timing of each cluster. Results identified four pheno-clusters, following a clear elevation gradient and a distinct separation along the Mediterranean-to-temperate climatic transition of Italy. The “High-elevation coniferous” and the “High elevation deciduous” resulted mainly affected by elevation, with the former characterized by low annual productivity and the latter by high seasonality. To the contrary, the “Low elevation deciduous” showed to be mostly associated to moderate climate conditions and a prolonged growing season. Finally, summer drought was the main driving variable for the “Mediterranean evergreen”, characterized by low seasonality. The discrimination of vegetation phenology types can provide valuable information useful as a baseline framework for further studies on forests ecosystem and for management strategies.  相似文献   

台湾海峡西南部的海陆联合深地震探测资料特点与处理对策*     

王笋  丘学林  方伟华  刘善虎  姚道平 《热带海洋学报》2018,37(2):92-99

为调查长乐—南澳断裂带和滨海断裂带的展布、形态和深部构造背景, 福建省地震局使用大容量气枪震源和海底地震仪将深地震探测拓展到台湾海峡西南部, 配合陆上的水库气枪震源、吨级爆破点和流动地震仪实现了海陆双向激发接收。文章详细介绍了2013—2015年间在台湾海峡西南部采集的6条二维广角地震剖面的观测系统、采集参数和数据预处理方法。对资料的整理分析表明: 震源激发参数和仪器接收点位选择合理, 大部分共接收点道集记录能清晰地识别出Pg、PmP、Pn、Sg、SmS等震相; 通过气枪固定点多次激发进行叠加的方法, 获得了信噪比相当于吨级爆破的共炮点道集记录。陆上台站数据品质较佳, 而海底地震仪数据信噪比较低, 可能是由于海底吸收衰减较为严重。数据处理中针对台湾海峡西南部沉积层速度较低且基底面起伏剧烈的问题, 将共接收点域拾取的走时分选到炮域, 避免了表层改正残差造成深部构造假象的问题。  相似文献   

GIMMS NDVI time series reveal the extent,duration, and intensity of “blooming desert” events in the hyper-arid Atacama Desert,Northern Chile     

《International Journal of Applied Earth Observation and Geoinformation》2019

The “blooming desert”, or the explosive development and flowering of ephemeral herbaceous and some woody desert species during years with abnormally high accumulated rainfall, is a spectacular biological phenomenon of the hyper-arid Atacama Desert (northern Chile) attracting botanists, ecologists, geo-scientists, and the general public from all over the world. However, the number of “blooming deserts”, their geographical distribution and spatio-temporal patterns have not been quantitatively assessed to date. Here, we used NDVI data from the Global Inventory Modeling and Mapping Studies (GIMMS) project to reconstruct the annual land surface phenology (LSP) of the Atacama Desert using a non-parametric statistical approach. From the reconstructed LSP, we detected the “blooming deserts” as positive NDVI anomalies and assessed three dimensions of the events: their temporal extent, intensity of “greening” and spatial extent. We identified 13 “blooming deserts” between 1981 and 2015, of which three (1997–98, 2002–03, and 2011) can be considered major events according to these metrics. The main event occurred in 2011, spanning 180 days between July and December 2011, and spread over 11,136 km² of Atacama dry plains. “Blooming deserts” in Atacama have been triggered by the accumulation of precipitation during a period of 2 to 12 months before and during the events. The proposed three-dimensional approach allowed us to characterize different types of “blooming deserts”: with longer episodes or larger spatial distribution or with different “greening” intensities. Its flexibility to reconstruct different LSP and detect anomalies makes this method a useful tool to study these rare phenomena in other deserts in the world also.  相似文献   

Impacts of snow cover on vegetation phenology in the arctic from satellite data     

曾贺情  贾根锁 《大气科学进展》2013,30(5):1421-1432

The dynamics of snow cover is considered an essential factor in phenological changes in Arctic tundra and other northern biomes. The Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra satellite data were selected to monitor the spatial and temporal heterogeneity of vegetation phenology and the timing of snow cover in western Arctic Russia (the Yamal Peninsula) during the period 2000-10. The magnitude of changes in vegetation phenology and the timing of snow cover were highly heterogeneous across latitudinal gradients and vegetation types in western Arctic Russia. There were identical latitudinal gradients for "start of season" (SOS) (r2 = 0.982, p<0.0001), "end of season" (EOS) (r2 = 0.938, p<0.0001), and "last day of snow cover" (LSC) (r2 = 0.984, p<0.0001), while slightly weaker relationships between latitudinal gradients and "first day of snow cover" (FSC) were observed (r2 = 0.48, p<0.0042). Delayed SOS and FSC, and advanced EOS and LSC were found in the south of the region, while there were completely different shifts in the north. SOS for the various land cover features responded to snow cover differently, while EOS among different vegetation types responded to snowfall almost the same. The timing of snow cover is likely a key driving factor behind the dynamics of vegetation phenology over the Arctic tundra. The present study suggests that snow cover urgently needs more attention to advance understanding of vegetation phenology in the future.  相似文献