增强的UV-B辐射对陆地生态系统的影响

本文根据最近的文献,回顾了ＵＶ－ Ｂ 辐射对陆地生态系统的影响。ＵＶ－ Ｂ 辐射影响植物物候、形态和次生代谢,从而改变生态系统的物种结构、竞争性平衡、食物链、植物病原体、物质循环、真菌移殖与叶片分解。植物物候、形态和次生代谢的变化是ＵＶ－ Ｂ 辐射调控影响生态系统的重要途径,具有重要的生态学意义。虽然我们已经适当了解了ＵＶ－ Ｂ 辐射对植物作用的机理,但由于温室内植物个体水平的短期响应与野外条件下生态系统的长期响应具有明显的差异,到目前为止还不能预测ＵＶ－ Ｂ辐射影响生态系统的精确后果,有时甚至连变化方向也不能预测。因此,必须强调生态系统对ＵＶ－ Ｂ 辐射长期响应的野外研究的重要性。     

四川盆地亚热带常绿阔叶林土壤动物对几种典型凋落物分解的影响

亚热带常绿阔叶林土壤动物对植物生长不同关键时期凋落物分解的贡献可能具有显著差异,但一直缺乏必要关注。以四川盆地亚热带常绿阔叶林典型人工林树种马尾松(Pinus massoniana)和柳杉(Cryptomeria fortunei),次生林树种香樟(Cinnamomum camphora)和麻栎(Quercus acutissima)凋落物为研究对象,采用凋落物分解袋试验,根据植物叶片物候规律在非生长季节(秋末落叶期、萌动期和展叶期)和生长季节(叶片成熟期、盛叶期和叶衰期)不同关键时期动态研究土壤动物对凋落物失重率的影响。土壤动物对4种典型物种凋落物分解均表现出明显贡献,其作用的凋落物失重率分别为：17.78%(麻栎)>14.23%(柳杉)>9.61%(香樟)>8.21%(马尾松)。相对于其他时期,四个树种的土壤动物贡献率均在秋末落叶期最小,除马尾松在叶衰期土壤动物贡献率最大以外,其余3个物种均在盛叶期土壤动物的贡献率最大,且土壤动物对阔叶分解的贡献率大于针叶。相关分析表明,除温度显著影响各关键时期土壤动物对凋落物的贡献外,整个第一年土壤动物作用的凋落物失重率及贡献率与纤维素含量和C/N显著相关,但在非生长季节主要与N含量、C/N和木质素/纤维素密切相关,而生长季节主要相关于木质素/N。这些结果为深入理解亚热带常绿阔叶林物质循环及其与植物生长过程的关系提供了一定的基础数据。     

Geostatistical Analysis of data on AIR Temperature and Plant Phenology From Baden-Württemberg (GERMANY) as a Basis for Regional Scaled Models of Climate Change

The rise of the air temperature is assured to be part of the global climatic change, but there is still a lack of knowledge about its effects at a regional scale. The article tackles the correlation of air temperature with the phenology of selected plants by the example of Baden-Württemberg to provide a spatial valid data base for regional climate change models. To this end, the data on air temperature and plant phenology, gathered from measurement sites without congruent coverage, were correlated after performing geostatistical analysis and estimation. In addition, geostatistics are used to analyze and cartographically depict the spatial structure of the phenology of plants in spring and in summer. The statistical analysis reveals a significant relationship between the rising air temperature and the earlier beginning of phenological phases like blooming or fruit maturation: From 1991 to 1999 spring time, as indicated by plant phenology, has begun up to 15 days earlier than from 1961 to 1990. As shown by geostatistics, this holds true for the whole territory of Baden-Württemberg. The effects of the rise of air temperature should be investigated not only by monitoring biological individuals, as for example plants, but on an ecosystem level as well. In Germany, the environmental monitoring should be supplemented by the study of the effects of the climatic change in ecosystems. Because air temperature and humidity have a great influence on the temporal and spatial distribution of pathogen carriers (vectors) and pathogens, mapping of the environmental determinants of vector and pathogen distribution in space and time should be performed in order to identify hot spots for risk assessment and further detailed epidemiological studies.     

CO2倍增对羊草物候和生长的影响

为了研究ＣＯ２倍增对实生苗羊草和移栽羊草的影响,采用开顶式熏气装置进行了ＣＯ２倍增试验。结果表明：２种羊草的ＣＯ２倍增与对照相比,年生长期延长２～７ｄ,其中枯黄期延迟１～７ｄ。ＣＯ２倍增的羊草分蘖株数、成熟穗数、生物量分别为对照的１１９．２％～１４６．３％、１３３．３％～１５７％、１１３．２％～１２７．３％;羊草植株高生长明显增加。ＣＯ２倍增对实生苗羊草物候期的反应比移栽羊草更敏感,移栽羊草抽穗数     

丹江口库区陆地植被物候空间格局及其与海拔的响应关系

海拔高度变化对区域温度、降水都起着至关重要的作用,从而会对植被物候特征产生影响。以丹江口库区为研究区,分析库区植被物候随海拔变化特征,该工作的开展对进一步认识库区植物物候空间特征,进而监测库区土地覆盖变化具有重要实践意义。研究采用Savitzky-Golay滤波算法重建库区2001~2012年MODIS 16天最大合成EVI时序影像数据,对重建后的时间序列影像采用动态阈值法提取库区陆地植被关键物候特征信息,并对库区陆地植被物候特征随海拔梯度变化特征进行分析。研究结果表明,丹江口库区陆地植被生长季为4月上旬至10月上旬,南部山区林地生长季最长,而库区中部、东部耕地生长季较短。植被物候特征随海拔梯度变化呈现两个较为明显的区域,低海拔区域植被生长季开始时间(Start of Season,SOS)随海拔升高而提前,生长季结束时间(End of Season,EOS)随海拔升高而推迟,进而导致生长季长度(Length of Season,LOS)随海拔升高而延长。而在海拔较高山区,林地植被物候呈现完全相反变化趋势。受丹江口水库和人类活动的影响,丹江口库区植被分布随海拔变化呈现两个较为明显的区域。     

基于MODIS时序数据北回归线(云南段)地区植被物候时空变化及其对气候响应分析

植被物候作为自然界规律性、周期性事件,对开展全球气候变化、植被长势观测等研究具有重要价值。以北回归线(云南段)穿过的县域为研究区,基于长时间序列MODIS EVI(Enhanced Vegetation Index,EVI)、土地利用类型和气候因子数据,采用S-G滤波、动态阈值、相关分析等方法分析19 a(2001—2019年)间植被物候的时空分布特征及其对水热因子的响应。结果表明,(1)海拔和地势起伏在物候地域分异中作用显著,植被物候存在明显的垂直地带性分布特征。山地与河谷、坝子、低海拔区的物候值差异较大,山地地区的植被生长季开始期(Start of Season,SOS)在192—240 d,生长季结束期(End of Season,EOS)在次年144—192 d,生长季长度(Length of Season,LOS)为272—304 d;河谷、坝子、东部低海拔地区的植被SOS在80—112 d,EOS在337至次年17 d,LOS在224—256 d。(2)19 a间植被物候年际变化总体特征为SOS显著提前(R²=0.51,P=0.001<0.05),平均提前1.14 d·(10 a)^?1;EOS推迟(R²=0.01,P=0.756>0.05),平均推迟0.07 d·(10 a)^?1;LOS显著延长(R²=0.47,P=0.001<0.05),平均延长1.07 d·(10 a)^?1。(3)不同植被类型的物候期及其变化趋势不同,研究区森林植被生长期最长,草地次之,耕地最短;19 a间SOS、EOS、LOS变化最大的分别是常绿阔叶林(?1.68 d·(10 a)^?1)、耕地(1.25 d·(10 a)^?1)、木本热带稀树草原(1.28 d·(10 a)^?1)。(4)水热组合对植被生长影响显著,河谷、坝子、东部低海拔地区的植被SOS、EOS分别主要受2月降水(负相关)和4月气温(正相关)、9月降水和气温(正相关)影响,山地地区植被SOS、EOS分别主要受6月降水(正相关)和5月气温(正相关)、5月降水(正相关)和4月气温(正相关)影响。     

温带落叶林的植物物候特征及其对气候变化的响应

植被物候是气候变化对生物圈产生长期或短期影响的重要指示因子。气候变化已经明显改变了许多物种的营养生长和繁殖物候,尤其是在温带地区。研究温带森林物候变化及其对全球变暖的响应,对认识森林物种共存,协同进化以及森林保护和经营等有重要意义。通过概述温带森林下物候研究的进展发现,光照和积温是影响木本植物展叶及繁殖物候的关键因素,林下层树木通过更早展叶,以尽量减少生长季林冠层遮阴对下层树木生长的影响,更早时期开花的树木具有从顶部向四周次第开花的时空格局,林冠层树种开花具有较好的同步性。而草本植物的物候通常受融雪时间和冠层动态的影响更大,并且,温带森林下不同生活史对策的草本植物的物候特征对气候变化的响应也不尽相同,存在明显的季节动态。繁殖物候、光照的季节变化、光合特征、授粉成功之间的联系决定了林下不同繁殖特性的草本植物的繁殖成功率。量化的、多指标、多对象的定位监测是精准物候研究的基础,物候变化的机理和建立可预测的物候模型将是未来研究的重点。     

Using citizen science butterfly counts to predict species population trends

Citizen scientists are increasingly engaged in gathering biodiversity information, but trade‐offs are often required between public engagement goals and reliable data collection. We compared population estimates for 18 widespread butterfly species derived from the first 4 years (2011–2014) of a short‐duration citizen science project (Big Butterfly Count [BBC]) with those from long‐running, standardized monitoring data collected by experienced observers (U.K. Butterfly Monitoring Scheme [UKBMS]). BBC data are gathered during an annual 3‐week period, whereas UKBMS sampling takes place over 6 months each year. An initial comparison with UKBMS data restricted to the 3‐week BBC period revealed that species population changes were significantly correlated between the 2 sources. The short‐duration sampling season rendered BBC counts susceptible to bias caused by interannual phenological variation in the timing of species’ flight periods. The BBC counts were positively related to butterfly phenology and sampling effort. Annual estimates of species abundance and population trends predicted from models including BBC data and weather covariates as a proxy for phenology correlated significantly with those derived from UKBMS data. Overall, citizen science data obtained using a simple sampling protocol produced comparable estimates of butterfly species abundance to data collected through standardized monitoring methods. Although caution is urged in extrapolating from this U.K. study of a small number of common, conspicuous insects, we found that mass‐participation citizen science can simultaneously contribute to public engagement and biodiversity monitoring. Mass‐participation citizen science is not an adequate replacement for standardized biodiversity monitoring but may extend and complement it (e.g., through sampling different land‐use types), as well as serving to reconnect an increasingly urban human population with nature.     

基于MODIS植被指数的浑善达克沙地植被物候变化

基于近20a MODIS的2种植被指数数据，利用Logistic曲线曲率极值法和动态阈值法，对浑善达克沙地植被物候进行了提取，分析其时空变化，并利用研究结果数据，分析植被物候对高程和气象因子的响应.结果表明，2000~2019年间研究区的植被物候呈微弱波动趋势，浑善达克沙地植被返青期（SOS）主要集中在110~140d，枯黄期（EOS）主要集中在250~280d，整体呈微弱推迟趋向（0.28d/a），生长季长度（LOS）主要集中在120~170d，整体呈微弱延长趋向（0.23d/a）.在空间分布上，占研究区51.51%的区域植被SOS呈提前趋势；占研究区67.02%的区域植被EOS呈提前趋势，并且占研究区32.98%的区域植被EOS呈推迟趋势.占研究区62.71%的区域植被LOS呈延长趋势.在海拔900~1500m区间，随着海拔升高，SOS显著推迟，EOS不显著提前，LOS显著缩短.前一年11、12月和当年1、2、4月降水量对SOS有提前作用.6、7、8、9月份气温和降水都对EOS推迟有明显的作用.总的来说，浑善达克沙地植被物候与气候因子的相应规律比较复杂，表现出季节性的差别及地形的差异性.     

Patterns and Trends in Southern Ontario Lake ice Phenology

An analysis is presented of 46 ice break up and 15 ice free season phenology data series obtained largely through volunteer monitoring efforts in Southern Ontario. Observations spanned the years 1853–2001. Available data included dates of ice formation and ice break up as well as the number of ice free days in a year. A high degree of temporal coherence in ice phenology between lakes was observed (137/365 pairwise correlations significant at P<0.05). Significant monotonic trends towards earlier break up dates and longer ice free seasons were observed across the region both in the entire series and in the last thirty years of data. Trends in longer series may be associated with the end of the Little Ice Age. The significantly longer ice free seasons and earlier ice break up dates observed in the study area have important implications for lakes in other parts of Canada where climate change effects are predicted to be more extreme than in South-Central Ontario.