鄱阳湖自然保护区植被生物量时空变化及水位影响

基于时间序列Moderate Resolution Imaging Spectroradiometer(MODIS)植被指数,结合野外实测生物量及水文气象等数据,分析了2001 2010年退水期鄱阳湖国家自然保护区湿地植被生物量的空间格局及其时间变化规律,并在此基础上探讨了水位变化的影响.研究结果表明:(1)湿地植被生物量密度多年均值处于0~1402 g/m²之间,除蚌湖四周生物量沿湖心向四周逐渐升高外,其他区域呈现南高北低的分布格局,且其分布与研究区高程密切相关;(2)湿地植被生物量密度多年均值在退水初期为901 g/m²,随时间变化先上升后降低;植被分布面积则随着滩地出露而逐渐增大,随后基本稳定;总生物量呈现单峰变化,在11月初达到最高值.2001 2010年研究区年均生物量变化呈现波动状态,多年均值为18.3×10⁷kg;最高出现在2006年,达到28.2×10⁷kg,2010年最低,仅有8.37×10⁷kg;(3)年均生物量与洲滩出露天数以及植被分布面积呈显著正相关,相关系数分别为0.719和0.865.水位变化为湿地生物量变化的重要影响因素.     

基于时间序列谐波分析的鄱阳湖湿地植被分布与水位变化响应

采用高时间分辨率遥感信息的谐波分析方法,提取反映鄱阳湖湿地植被指数随水位变化的谐波分量,分别以自然年和水文年的不同周期作为湿地植被指数谐波分析单元,利用时间序列信号的最大振幅谐波分量的变化周期表征湿地植被指数在不同分析单元的变化模式,结合常年水位观测数据和湿地植被群落在不同物候期的时间与空间特征,探讨鄱阳湖国家级自然保护区和南矶湿地国家级自然保护区的植被分布面积与水位变化关系.结果表明:(1)鄱阳湖湿地植被分布受水文状况影响的特征明显,相对于南矶自然保护区,鄱阳湖自然保护区湿地植被分布面积对观测水位的变化更为敏感.(2)两个自然保护区范围内的湿地植被分布面积与对应水文年9和10月的观测水位呈现较强的负相关关系,且在0.05水平上显著.一年两季生长的湿地植被分布面积受退水时间影响大于次年的涨水时间,与枯水期的观测水位无明显的相关关系.(3)两个自然保护区在不同高程区间的湿地植被分布面积与观测水位的相关关系和显著性呈现各自特征.在鄱阳湖保护区,12~13 m高程区间的湿地植被分布面积与9月观测水位的相关性最强,且相关关系在0.05水平上显著;13~14 m高程区间的湿地植被分布面积与10月观测水位相关关系更强.在南矶自然保护区,湿地植被分布面积在不同高程区间均与9和10月观测水位显著相关.采用谐波分析方法分析湖泊湿地的植被分布面积与水位关系有助于基于多时间序列遥感信息的湿地水文节律研究.     

近40年来南四湖湿地NDVI变化特征及其控制因子分析

利用Landsat系列卫星的MSS、TM和ETM+遥感数据,计算了研究区的归一化植被指数(NDVI),并以此为湿地植被活动的指标,研究1973 2011年间该湿地植被变化特征及年内季节变化特征,揭示植被活动在年内和年际变化的控制因子以及湿地植被对于气候变化、人类活动和极端干旱事件的响应特征.结果表明:(1)近40年来南四湖湿地植被各个季节的变化特征不尽相同.春季NDVI呈现先降低后增加的特征,主要先后受到研究区围垦、渔业养殖等人为活动和气候变化(增温)的影响;夏季和冬季的NDVI呈现显著降低趋势,主要受到围垦、渔业养殖等人类活动的影响;秋季NDVI的变化不显著.(2)年内季节变化方面,湿地植被面积和NDVI都呈现单峰的变化特征,从春季开始增加,在夏季末(全年的第202和205 d)达到最大值,然后开始下降,到冬季降至最低.植被的年内季节变化特征主要受到月均温度的控制.(3)干旱在一定程度上不是湖泊湿地NDVI增加的限制因子.干旱导致湖泊水位下降,滨湖滩地及湖底露出,可能会促进湿地植被生长和植被面积的扩大,使得湿地NDVI增加.     

近60年鄱阳湖东部湖湾水文连通变化及其对湿地植物与候鸟的影响

鄱阳湖碟形湖生物群落分布特征很大程度上受区域与主湖区水文连通性影响。由于水位波动,东部湖湾水文连通性受鄱阳湖主湖体水位影响较为敏感。本文以东部湖湾为例,分析主湖区水位变异程度及其影响,并从连通天数和发生时间等方面定量表征东部湖湾与主湖区的水文连通性,进而讨论水文连通性变化及其对湿地植物生境和候鸟栖息地的潜在影响。结果表明,当水位在13～16 m时,东部湖湾与主湖区存在着良好的水文连通关系,湿地植物适宜生境面积最大。2003年以后,鄱阳湖主湖区水位普遍降低,低枯水位持续时间延长,IHA/RVA法分析表明主湖区水位发生了中等程度改变,整体改变度为40.2%,东部湖湾与主湖区的连通关系发生明显改变,年连通天数减少了46.2 d,变化幅度为15.9%,而非连通期发生时间提前约1个月且年内时间跨度更长。水文连通性减弱造成3 10月东部湖湾平均水位下降了0.6 m,其中9 10月减少了约1 m,使薹草（Carexsp．）和苦草（Vallisneria natans）适宜水深对应的水面面积在多数月份呈增加趋势,特别是9 10月（幅度超过40%）,但枯水提前导致沉水植物面积减少,湿生植物生物量增加。水...     

鄱阳湖湿地土壤微生物活性对年际水文变化的响应

湿地自然水文节律的改变影响着湿地生态系统的稳定与安全.为探究湿地水文变化对土壤微生物活性的影响,以鄱阳湖洲滩湿地3种典型植被狗牙根（Cynodon dactylon）、南荻（Triarrhena lutarioriparia）和苔草（Carex cinerascens）下表层土壤（0~20 cm）为研究对象,对湿地土壤微生物呼吸、微生物生物量和水解酶等土壤活性特征进行连续3年的实验监测,分析年际水位变化对不同植被湿地土壤微生物活性的影响.结果表明：丰水年显著提高土壤中养分的可利用性（有机质、总磷、速效磷）,提高土壤微生物生物量、微生物熵、水解酶活性,表明丰水年有利于湿地生态系统的物质循环转化.水文条件也能通过影响湿地植被生长改变土壤养分状况,进而对植被下土壤微生物活性产生显著影响.诸多土壤理化因子中,可溶性有机碳是驱动微生物活性变化最关键的因子.进一步分析表明,由植被类型所代表的长期水文累积效应对湿地土壤理化及微生物活性的调节作用大于单纯的年际水文变化.     

洞庭湖湿地植被长期格局变化(1987-2016年)及其对水文过程的响应

基于长序列遥感影像数据、水位日观测数据以及高精度湖盆地形数据,通过提取洞庭湖1987—2016年湿地植被信息,并构建表征水位波动的多周期水情变量,采用逐步回归分析法识别影响洞庭湖湿地植被分布格局的关键水情变量并建立其与植被面积的响应关系.结果表明：1）1987—2016年,洞庭湖湿地典型植被面积在全湖尺度上呈增加趋势,尤其是林地面积,占比由1.77%上升为7.24%.湿地植被格局演变上,东洞庭湖呈现芦苇群落挤占苔草群落空间,并推动湿地植被整体向湖心扩张的趋势.2）影响东洞庭湖苔草和芦苇分布最关键的水情变量是丰水期水位.苔草对丰水期水情存在非线性阈值响应,丰水期平均水位维持在29 m左右,最适宜苔草生长;对于芦苇,丰水期偏枯的水情条件对其生长发育起到促进作用.涨水期和退水期水文过程是影响东洞庭湖湿地植被分布的次为重要的水情因子.涨水期、退水期水位偏低的水情条件对芦苇分布面积的扩张起促进作用.     

基于遥感的鄱阳湖湖区蒸散特征及环境要素影响

蒸散是湖泊湿地生态系统水循环的重要组成部分,研究湖区地表蒸散量的时空变化对了解鄱阳湖湖区水量平衡关系具有重要意义.本研究基于MODIS数据,应用地面温度-植被指数三角关系法反演2000-2009年鄱阳湖湖区的实际蒸散量,分析湖区蒸散的时空分布特征及主要气象因子对流域蒸散的影响.结果表明:2000-2009年鄱阳湖湖区年蒸散量在685~921 mm之间,平均年蒸散量为797 mm,最大蒸散量出现在2004年.2000-2009年多年平均水体蒸发量为1107 mm,高于湖区植被蒸散量(774 mm).湖区汇水区域中蒸散量占降水的平均比例为55%,是水量平衡的主要支出项,径流系数约为0.45.湖区蒸散主要受辐射和气温的影响,月蒸散量与气温呈显著的指数相关,2007年蒸散量对温度的关系最为敏感.降水量距平与蒸散量距平的关系除2007年呈显著负相关外,其他年份相关性不显著.鄱阳湖湿地蒸散与湖泊水域面积总体呈正相关,但在水文干旱严重的2006年,当水域面积<30%时,蒸散速率随水域面积增加而减小.     

鄱阳湖水文过程对湿地生物的节制作用

从实测水文数据出发,研究2009-2013年近5年各年水位过程变化,归纳年内、年际水位变化的特征和类型,在此基础上分析各年水温、水体透明度及水深梯度的变化过程.结合"鄱阳湖科学考察项目"对生物资源及其动态变化的考察成果,重点探索2009、2010、2011年3个典型年鄱阳湖湿地生物繁殖、生长、成熟或死亡过程与各水文要素变化过程耦合时的联动关系.结果表明,4-6月涨水过程,沉水植物经历淹水深度1.5~2.0 m、水体透明度低于20~30 cm后,大部分死亡;3-6月和6-9月水位过程偏低,导致定居性鱼类产卵场和索饵场范围缩小;10-12月水位偏高或偏低影响冬候鸟入迁或栖息等.研究初步揭示鄱阳湖水文节律对鄱阳湖湿地生物生长、生存的节制作用,从一定意义上反映了鄱阳湖生态水文过程.     

鄱阳湖夏季极端水位条件下越冬水鸟多样性、空间分布及其保护对策

鄱阳湖是我国最大的淡水湖,也是具有国际意义的候鸟越冬地. 近年来,鄱阳湖水文情势异常使得候鸟越冬环境更加复杂. 本文以2020年鄱阳湖出现夏季极端水位为背景,基于2019和2020年鄱阳湖越冬水鸟同步调查数据,探讨了夏季极端水位对越冬水鸟丰富度和空间分布的影响. 研究结果表明：夏季极端水位条件下鄱阳湖越冬水鸟的总数量、群落结构和优势物种组成相对稳定,水鸟数量由597307只下降至572358只,主要是鸭科、鸥科、鹳科、鸬鹚科和鹮科鸟类数量明显下降;食块茎、食种子和食鱼集团水鸟数量均有所下降. 水鸟的整体空间分布格局变化不大,主要栖息地仍为鄱阳湖保护区和上饶湿地的碟形湖及人控湖汊,越冬水鸟向人工湿地扩散加剧. 2019年在人工湿地主要记录到灰鹤926只、白鹤3只;2020年则记录到白鹤2215只、灰鹤7294只、白头鹤88只、白枕鹤378只、豆雁550只、鸿雁3100只、灰雁3200只和小天鹅1543只. 2020年冬季人工湿地中的越冬水鸟数量比2019年增加显著. 鄱阳湖夏季极端水位导致沉水植物群落崩溃,造成植食性水鸟在天然湿地中的越冬食物短缺,从而导致种群空间分布格局出现明显变化,这也是鹤类和雁类水鸟前往人工湿地觅食的主要原因. 因此,在夏季洪水频发的背景下加强人工湿地管理,是当前解决越冬水鸟天然湿地食物资源短缺的重要措施.     

鄱阳湖湿地植物灰化薹草(Carex cinerascens)对不同地下水位的生理生态响应

地下水位在非淹水期对湿地植物的生长影响较大,但目前相关研究十分缺乏.本文选择鄱阳湖典型植被灰化薹草(Carex cinerascens)为研究对象,研究不同地下水位(地下水位埋深10、20、40、80和120 cm)对灰化薹草形态指标、地上生物量和生理指标的影响.结果表明,随着地下水位埋深的增加,灰化薹草的株高、叶长和生物量均显著降低,地下水位10 cm处理组的灰化薹草生物量为0.371±0.017 g,为地下水位120 cm处理组(0.084±0.004 g)的4.4倍;处理组间灰化薹草叶片中超氧化物歧化酶活性、过氧化物酶活性、游离脯氨酸含量和叶绿素含量均存在显著差异,其中游离脯氨酸含量由地下水位10 cm处理组的6.29±0.70μg/g增加到地下水位120 cm处理组的8.54±1.37μg/g,表明随着地下水位埋深的增加,灰化薹草面临一定程度的干旱胁迫.灰化薹草的生理生态响应综合表明,地下水位埋深20 cm以内适宜灰化薹草的生长,地下水位埋深80 cm以上的干旱胁迫会阻碍灰化薹草的生长.     

极端干旱事件中洞庭湖水面变化过程及成因

干旱是洞庭湖区长期以来面临的严重自然灾害之一,给周边人们的生产生活造成了极大的影响.针对2006和2011年洞庭湖区发生的极端干旱事件,借助遥感影像大范围、时空连续的优势,结合湖区水文气象等观测资料,从时空两方面阐释了洞庭湖在典型干旱年份水域分布及变化过程,进一步从温度、降水、径流以及蓄水量等方面对比分析不同干旱事件发生、发展过程的一致性和差异性.研究结果表明:2006年干旱大致从7月开始,至12月结束.水面淹没范围由湖心向周边扩展,到7月达到最大值,8月提前进入枯水期,减小范围主要集中在东洞庭湖外围和南洞庭湖的北边.2006年干旱属于由入湖径流减少主导的水文干旱事件;2011年的干旱则从4月开始,至11月结束,在9月以后干旱继续加重.水面淹没范围在6月急剧增大且一直到8月都维持在较高的水平,涨水期水面由中心向四周淹没,退水期水面变化范围与涨水期相反.2011年干旱是由流域降水减少引起的水文和气象干旱事件.研究结果揭示了洞庭湖区干旱成因的多样性和复杂性,对于制定科学合理的干旱灾害防范措施,减缓区域的生态环境问题等具有一定的指导和借鉴意义.     

Evaluation of multi-sensor satellite data for monitoring different drought impacts

Drought is a natural disaster that significantly affects human life; therefore, precise monitoring and prediction is necessary to minimize drought damage. Conventional drought monitoring is based predominantly on ground observation stations; however, satellite imagery can be used to overcome the disadvantages of existing monitoring methods and has the advantage of monitoring wide areas. In this research, we assess the applicability of drought monitoring based on satellite imagery, focusing on historic droughts in 2001 and 2014, which caused major agricultural and hydrological issues in South Korea. To assess the applicability and accuracy of the drought index, drought impact areas in the study years were investigated, and spatiotemporal comparative analyses between the calculated drought index and previously affected areas were conducted. For drought monitoring based on satellite imagery, we used hydro-meteorological factors such as precipitation, land surface temperature, vegetation, and evapotranspiration, and applied remote sensing data from various sensors. We verified the effectiveness of using precipitation data for meteorological drought monitoring, vegetation and land surface temperature data for agricultural drought monitoring, and evapotranspiration data for hydrological drought monitoring. Moreover, we confirmed that the Standard Precipitation Index (SPI) can be indirectly applied to agricultural or hydrological drought monitoring by determining the temporal correlation between SPI, calculated for various time scales, and satellite-based drought indices.     

Diagnosing drought using the downstreamness concept: the effect of reservoir networks on drought evolution

To effectively manage hydrological drought, there is an urgent need to better understand and evaluate its human drivers. Using the “downstreamness” concept, we assess the role of a reservoir network in the emergence and evolution of droughts in a river basin in Brazil. In our case study, the downstreamness concept shows the effect of a network of reservoirs on the spatial distribution of stored surface water volumes over time. We demonstrate that, as a consequence of meteorological drought and recovery, the distribution of stored volumes became spatially skewed towards upstream locations, which affected the duration and magnitude of hydrological drought both upstream (where drought was alleviated) and downstream (where drought was aggravated). The downstreamness concept thus appears to be a useful entry point for spatiotemporally explicit assessments of hydrological drought and for determining the likelihood of progression from meteorological drought to a human-modified hydrological drought in a basin.     

Diagnosing drought using the downstreamness concept: the effect of reservoir networks on drought evolution

ABSTRACT

To effectively manage hydrological drought, there is an urgent need to better understand and evaluate its human drivers. Using the “downstreamness” concept, we assess the role of a reservoir network in the emergence and evolution of droughts in a river basin in Brazil. In our case study, the downstreamness concept shows the effect of a network of reservoirs on the spatial distribution of stored surface water volumes over time. We demonstrate that, as a consequence of meteorological drought and recovery, the distribution of stored volumes became spatially skewed towards upstream locations, which affected the duration and magnitude of hydrological drought both upstream (where drought was alleviated) and downstream (where drought was aggravated). The downstreamness concept thus appears to be a useful entry point for spatiotemporally explicit assessments of hydrological drought and for determining the likelihood of progression from meteorological drought to a human-modified hydrological drought in a basin.     

Exploring spatiotemporal relationships among meteorological,agricultural, and hydrological droughts in Southwest China

Each type of drought has different characteristics in different regions. It is important to distinguish different types of droughts and their correlations. Based on gauged precipitation, temperature, simulated soil moisture, and runoff data during the period 1951–2012, the relationships among meteorological, agricultural, and hydrological droughts were analyzed at different time scales in Southwest China. The standardized precipitation evapotranspiration index (SPEI), soil moisture anomaly percentage index (SMAPI), and standardized runoff index (SRI) were used to describe meteorological, agricultural, and hydrological droughts, respectively. The results show that there was a good correlation among the three indices. SMAPI had the best correlation with the 3 month SPEI and SRI values. It indicates that agricultural drought was characterized by a 3-month scale. The three drought indices displayed the similar special features such as drought scope, drought level, and drought center during the extreme drought of 2009–2010. However, the scope and level of SPEI were bigger than those of SMAPI and SRI. The propagation characteristics of the three types of droughts were significantly different. The temporal drought process in typical grids reflect that the meteorological drought occurred ahead of agricultural and hydrological droughts by about 1 and 3 months, respectively. Agricultural drought showed a stable drought process and reasonable time periods for the drought beginning and end. These results showed the quantitative relationships among three types of drought and thus provided an important supporting evidence for regional drought monitoring and strategic decisions.     

Estimation of regional meteorological and hydrological drought characteristics: a case study for Denmark

Information on regional drought characteristics provides critical information for adequate water resource management. This study introduces a method to calculate the probability of a specific area to be affected by a drought of a given severity and demonstrates its potential for calculating both meteorological and hydrological drought characteristics. The method is demonstrated using Denmark as a case study. The calculation procedure was applied to monthly precipitation and streamflow series separately, which were linearly transformed by the Empirical Orthogonal Functions (EOF) method. Denmark was divided into 260 grid-cells of 14×17 km, and the monthly mean and the EOF-weight coefficients were interpolated by kriging. The frequency distributions of the first two (streamflow) or three (precipitation) amplitude functions were then derived. By performing Monte Carlo simulations, amplitude functions corresponding to 1000 years of data were generated. Based on these simulated functions as well as interpolated mean and weight coefficients, long time series of precipitation and streamflow were simulated for each grid-cell. The probability distribution functions of the area covered by a drought and the drought deficit volumes were then derived and combined to produce drought severity-area-frequency curves. These curves allowed an estimation of the probability of an area of a certain extent to have a drought of a given severity, and thereby return periods could be assigned to historical drought events. A comparison of drought characteristics showed that streamflow droughts are less homogeneous over the region, less frequent and last for longer time periods than precipitation droughts.     

Combined analysis of precipitation and water deficit for drought hazard assessment

Abstract

The combined analysis of precipitation and water scarcity was done with the use of the Standardized Precipitation Index (SPI) and the Standardized Runoff Index (SRI), developed as a monthly, two-variable SPI-SRI indicator to identify different classes of hydrometeorological conditions. Stochastic analysis of a long-term time series (1966–2005) of monthly SPI-SRI indicator values was performed using a first-order Markov chain model. This provided characteristics of regional features of drought formation, evolution and persistence, as well as tools for statistical long-term drought hazard prediction. The study was carried out on two subbasins of the Odra River (Poland) of different orography and land use: the mountainous Nysa K?odzka basin and the lowland, agricultural Prosna basin. Classification obtained with the SPI-SRI indicator was compared with the output from the NIZOWKA model that provided identification of hydrological drought events including drought duration and deficit volume. Severe and long-duration droughts corresponded to SPI-SRI Class 3 (dry meteorological and dry hydrological), while severe but short-term droughts (lasting less than 30 days) corresponded to SPI-SRI Class 4 (wet meteorological and dry hydrological). The results confirm that, in Poland, meteorologically dry conditions often shift to hydrologically dry conditions within the same month, droughts rarely last longer than 2 months and two separate drought events can be observed within the same year.     

基于马尔科夫链模型的鄱阳湖流域水文气象干旱研究

基于气象和水文干旱的二维变量干旱状态基础上,通过一阶马尔科夫链模型对二维变量干旱状态进行频率、重现期和历时分析,建立水文气象干旱指数,从干旱灾害形成、演变和持续3方面对干旱灾害进行研究,同时预测未来6个月非水文干旱到水文干旱的概率.结果表明:(1)修河流域在干旱形成中危害大,抚河流域和修河流域在干旱演变中危害大,赣江流域和饶河流域在干旱持续中危害大;(2)鄱阳湖流域状态4(气象、水文干旱)发生的频率最高,为0.30,连续湿润或者干旱的概率最大,湿润状态(状态2)与水文干旱(状态4、状态5(气象湿润、水文干旱))的相互转移概率最低;(3)在长期干旱预测中,鄱阳湖流域从状态2转到状态4和状态5的平均概率为0.11,属最低,而状态1(气象、水文无旱)和状态3(气象干旱、水文湿润)到达状态4的概率为0.23,发生概率最大.修河流域在非水文干旱状态下未来发生气象、水文干旱状态的平均概率为0.28,是"五河"中最高的,而赣江流域在正常或者湿润状态下未来发生气象、水文干旱的概率最低,为0.18,该研究对于鄱阳湖流域水文气象干旱的抗旱减灾具有重要理论与现实意义.     

Meteorological drought analysis using data-driven models for the Lakes District,Turkey

Abstract

Droughts may be classified as meteorological, hydrological or agricultural. When meteorological drought appears in a region, agricultural and hydrological droughts follow. In this study, the standardized precipitation index (SPI) was applied for meteorological drought analysis at nine stations located around the Lakes District, Turkey. Analyses were performed on 3-, 6-, 9- and 12-month-long data sets. The SPI drought classifications were modelled by Adaptive Neural-Based Fuzzy Inference System (ANFIS) and Fuzzy Logic, which has the advantage that, in contrast to most of the time series modelling techniques, it does not require the model structure to be known a priori. Comparison of the observed values and the modelling results shows a better agreement with SPI-12 and ANFIS models than with fuzzy logic models.     

Effects of the Three Gorges Reservoir on the hydrological droughts at the downstream Yichang station during 2003–2011

Since the Three Gorges Reservoir (TGR) was put into operation in June 2003, the effects of the TGR on downstream hydrology and water resources have become the focus of public attention. This article examines the effects of the TGR on the hydrological droughts at the downstream Yichang hydrological station during 2003–2011. The two‐parameter monthly water balance model was used to generate the monthly discharges at the Yichang station for the period of 2003–2011 to represent the unregulated flow regime and thus to provide a comparison benchmark for the observed flow series at the Yichang station after the operation of the TGR. To provide a reference series for the observed monthly discharge series of the entire study period of 1951–2011, we constructed the naturalized monthly discharge series at the Yichang station by joining the observed monthly discharge at the Yichang station for the period of 1951–2002 and the two‐parameter monthly water balance simulated monthly runoff at the Yichang station for the period of 2003–2011. For both the observed and naturalized monthly discharge series of 1951–2011, the hydrological drought index series were calculated using the standardized streamflow index method. By comparing the drought indices of these two monthly discharge series, we investigated the effects of the TGR on the hydrological droughts at the downstream Yichang station during 2003–2011. The results show that the hydrological droughts at the downstream Yichang station are slightly aggravated by the TGR's initial operation from 2003 to 2011. The river flow reduction at the Yichang station after impoundment of the TGR might account for the downstream drought aggravation. Copyright © 2012 John Wiley & Sons, Ltd.