呼伦贝尔草原物候变化及其与气象因子的关系

草原物候是草原生态系统气候变化的敏感指示器,探索物候变化与气候变化的关系,对草原生态系统保护及全球气候变化研究具有重要意义。以呼伦贝尔草原为研究对象,基于2000—2015年MOD09Q1数据和气象数据,利用D-L拟合法对NDVI时间序列进行重构,采用动态阈值法提取草原物候期,利用相关分析法,分析了物候与气象因子之间的关系。研究表明:(1)返青期发生时间介于4月下旬～6月上旬(平均为第138 d),枯黄期发生时间介于9月～10月下旬(平均为第277 d),生长季长度主要在3. 5～6个月之间(平均为136 d)。空间上,西部和北部返青期较早,枯黄期较晚,生长季长度最长;中东部返青期较晚,枯黄期较早,生长季长度较短。(2)年际变化趋势上,返青期和枯黄期均以提前趋势为主,提前趋势的像元比例分别为61. 2%和63. 83%,生长季长度以延长趋势为主,延长趋势的像元占比为54. 95%。(3)冬季降水增加是返青期提前的主要原因,而春季降水增多和秋季温度升高是枯黄期提前的主要原因。研究结果有助于加深物候对气候变化响应的认识,以期更好地为草原物候研究和放牧优化管理提供参考。     

The Light Regime Effect on Triacylglycerol Accumulation of Isochrysis zhangjiangensis

Stress state of microalgal cells is caused under unfavorable conditions such as disordered light regime and depleted nitrogen. The stress state can impair photosynthetic efficiency, inhibit cell growth and result in the accumulation of triacylglycerol(TAG) from protective mechanisms. Continuous light or nitrogen starvation was applied on microalgae and performed effectively on inducing TAG production. To evaluate the light regime effect on inducing TAG production, the effect of different light regimes on nitrogen-starved Isochrysis zhangjiangensis was investigated in this work. The continuous light and nitrogen starvation elevated TAG content of biomass by 73% and 193%, respectively. Furthermore, the TAG accumulation of I. zhangjiangensis cell under nitrogen starvation decreased under aggravated stress from continuous illumination. Our results demonstrated that culturing the cells with 14 L: 10 D light regime under nitrogen starvation is the optimal mode to achieve maximal accumulation of TAG. A recovery in light regime was necessary for I. zhangjiangensis cultivation.     

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

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.     

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

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.     

植物始花期对气候变化响应的激素调控机理研究进展

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。     

2000—2017年内蒙古荒漠草原植被物候变化及对净初级生产力的影响

荒漠草原分布于干旱区和半干旱区,对气候变化的响应极为敏感,但目前学术界对于荒漠草原物候与生产力变化的研究仍较为薄弱。有鉴于此,论文采用2000—2017年MODIS NDVI数据和气象数据,利用通用数量化方法提取内蒙古荒漠草原植被的生长季始期(start of season, SOS)和生长季末期(end of season, EOS);基于Carnegie-Ames-Stanford Approach (CASA)模型估算了植被净初级生产力(NPP),并分析了植被物候和净初级生产力之间的关系。研究结果表明：① 2000—2017年内蒙古荒漠草原SOS呈显著提前趋势(0.88 d/a,P<0.05),EOS不显著提前(0.13 d/a,P>0.05),生长季长度(length of season, LOS)呈显著延长趋势(0.76 d/a)。81.53%像元的SOS与2—4月平均气温呈负相关(8.21%显著相关,P<0.05),60.80%像元的SOS与4月降水量呈负相关关系(6.12%显著相关,P<0.05);65.16%像元的EOS与9月平均气温呈负相关(5.03%显著相关,P<0.05),78.61%像元的EOS 与7—9月降水量呈正相关关系(10.12%显著相关,P<0.05)。② 内蒙古荒漠草原多年平均NPP为104.71 gC/(m ²·a),有自东向西逐渐降低的区域差异;在研究时段内,春、夏季和生长季的NPP均呈不显著增加趋势,秋季NPP有不显著减少趋势;生长季降水量增加有利于生长季NPP的积累。③ 春季NPP与SOS呈不显著负相关,秋季NPP与EOS呈显著正相关。LOS的延长促进了NPP的累积,其中生长季NPP与EOS的推迟关系更为密切。研究结果揭示气候变化对内蒙古荒漠草原植被物候和生产力有显著影响,对区域生态系统管理和生态建设具有重要参考意义。     

全球变暖对海洋浮游动物的影响

全球变暖作为一个重要的环境问题,自上世纪80年代初就已引起学者的广泛关注。它不仅对海洋生态环境及生物圈已产生了一定的影响。本文主要从浮游动物角度出发综述了全球变暖对其生理活动、生态分布及生物气候学的影响。运用不同温度条件下浮游动物生理学上的变化来说明全球变暖对浮游动物的生理影响;通过分析浮游动物生物多样性、生物量,丰度和生物地理分布等指标来阐述其对全球变暖的生态响应;通过讨论浮游动物的最高丰度时间和繁殖时间这2个重要物候学指标来说明其对全球变暖的响应。最后,提出了今后的研究方向,即调查更广泛的生物功能群、关注处于热带海洋中的浮游动物以及在浮游动物个体水平上开展研究工作。     

利用MODIS数据识别水稻关键生长发育期

利用遥感方法提取中国范围内的水稻关键生长发育期。首先, 对时间序列Terra MODIS-EVI(Enhanced Vegetation Index)进行傅里叶和小波低通滤波平滑处理, 然后, 根据水稻在移栽期、分蘖初期、抽穗期和成熟期的EVI变化特征, 实现对各个生长发育期的识别。通过将利用2005年MODIS数据识别的结果与当年气象台站的地面观测资料进行比较, 采用本研究中的识别方法得出的水稻各个生长发育期的绝对误差大部分小于16d, 经过F检验表明提取的结果与地面观测资料在0.05水平下具有显著一致性。研究中的信息提取方法可被用于其他年份的水稻生长发育期识别, 根据其他作物的生长发育特点, 也可能适合于提取其他作物的生长发育期。     

关于南珠产业可持续发展的思考

基于南珠产业的特色、优势、现状,针对其目前存在养殖环境恶化,珍珠贝生长慢、病害多、死亡大,珍珠单产低、质量差、品种单一、市场竞争力不强,产业效益下降、发展后劲不足等问题;提出实现南珠产业可持续健康发展的相应对策:进行科学规划,加强容量管理;加速良种选育与新品种开发;加强技术培训,推广规范化养殖;革新加工技术,提升市场竞争力;加大监管力度,规范市场秩序,扶强龙头企业;促进南珠产业向集约化、组织化方向发展。     

大型海藻对富营养化海水养殖区生物修复的研究与展望

当前 ,中国的多数海水养殖区富营养化相当严重。富营养化可引发赤潮和养殖动物病害 ,给养殖业带来巨大损失。海带、龙须菜、条斑紫菜等大型海藻 ,生产力很高 ,在生长过程中可大量吸收 C,N,P等生源要素 ,在水生态系统碳循环和减缓富营养化方面有很重要的作用。此外 ,海藻产品可食用、作为饲料、工业原料和有机肥料 ,是具有较高价值的商品。大规模栽培大型海藻是减轻养殖区富营养化的有效途径之一。