黄瓜砧用白籽南瓜对不同盐胁迫的耐性评价

采用营养液栽培,研究Ca(NO₃)₂和NaCl胁迫对黄瓜嫁接用砧木南瓜幼苗生长和抗氧化酶活性的影响,并用隶属函数法综合评价其耐盐性.结果表明： 低浓度盐30 mmol·L^-1Ca(NO₃)₂和等渗的45 mmol·L^-1 NaCl处理促进砧木幼苗生长;高浓度盐60、120 mmol·L^-1Ca(NO₃)₂和等渗的90、180 mmol·L^-1NaCl胁迫下,各砧木幼苗的生长和抗氧化酶系统均受到不同程度的抑制,其中,‘青砧1号’的盐害指数最小,生物量及超氧化物歧化酶(SOD)、过氧化物酶(POD)和过氧化氢酶(CAT)活性的下降幅度以及相对电导率的上升幅度均小于其他砧木.高盐Ca(NO₃)₂胁迫下,各砧木SOD、POD和CAT酶活性均高于等渗的NaCl,而盐害指数和相对电导率低于NaCl,表明Ca(NO₃)₂对砧木南瓜幼苗生长的危害小于NaCl.4个砧木品种的耐盐性顺序为‘青砧1号’>‘佐木南瓜’>‘丰源铁甲’>‘超霸南瓜’.     

基于卫星遥感数据的黄淮海地区植被覆盖时空变化特征

利用1982—2003年GIMMS NDVI遥感数据,在进行合成、重采样和时间序列滤波处理的基础上,采用线性趋势分析、经验正交函数分解等方法,对中国黄淮海地区植被覆盖的时空特征进行了研究。结果表明:22年来黄淮海地区植被覆盖总体上呈略微增加的趋势,且该区域生长季有提前和延长的趋势;黄淮海大部分地区植被活动在增强的同时,局部地区出现了植被退化现象;从季节变化上看,春季上升和夏季下降趋势明显;林地为主的自然植被、草甸类自然植被和所有农业植被未变化类别占主导地位,而草原植被则以增加趋势为主。主要生长季的NDVI距平EOF分析表明,第1模态的主要特征是区域中间、北部和南端为正,四周为负变化;第2模态的主要特征是从东南向西北由正到负变化且正值区明显偏多;第3模态从东南向西北呈现"正-负-正"的空间分布,其中负值区大部分为以林地为主的自然植被区和一年一熟农业植被,正值区大部分为农耕区和草原牧区,该模态大致反映了农牧区和林区的NDVI分布型。     

Remote sensing imagery for resource inventories in central Africa: The importance of detailed field data

The rate of rain forest clearing throughout central Africa is of national and international interest because it affects both the region's contribution to global warming and impacts the sustainable productive capacity of its natural resource base. The size and inaccessibility of much of central Africa makes remote sensing imagery the most suitable data source for regional land cover mapping and land transformation monitoring. Present image availability is poor. Most regional studies have had to rely on coarse resolution AVHRR 1 km data that fails to detect the small-scale agricultural clearings that are the primary cause of land cover change throughout the region. This study demonstrates that higher spatial resolution Landsat MSS imagery, which comprises the most available, geographically comprehensive and longest time series dataset, is too coarse to map land cover in low population density areas typical of most of central Africa. Furthermore, this study cautions that the use of high resolution imagery without detailed collateral field data on population density and land use practices while generating superficially plausible results, will most probably produce highly inaccurate estimates of land cover and land transformation. Policies for future regional remote sensing surveys of central Africa should focus on acquisition of higher spatial, spectral, and radiometric resolution imagery and must be accompanied by detailed, systematic field data collection.     

基于遥感影像的城市土地利用生态环境效应研究——以城市热环境和植被指数为例

城市化过程中,农村的土壤、水面以及植被等土地覆被类型逐渐减少,取而代之的是由沥青、水泥以及金属等组成的不透水表面,这个过程导致地表水分蒸腾减少、径流加速、显热的存储和传输增加以及水质降低等一系列生态环境效应,其中最明显的两个特征就是土地覆被的植被减少、城市热岛的出现.而城市土地利用类型及其空间结构的生态环境效应同时又是城市生态学中的关键问题,其研究对优化城市功能分区和城市规划管理以及城市可持续发展等都具有重要意义.以上海市为例,采用Landsat7的ETM＋为基本数据源,首先定量反演了每个像元内的陆地表面温度（LST）和植被指数（NDVI）,然后利用GIS中的空间分析功能,将由于城市土地覆被所形成的生态环境效应综合到土地利用的图斑中来,按照这个思路对城市土地利用的生态环境效应进行研究.分析LST、NDVI在不同土地利用类型之间的差异以及二者之间的定量关系,并引入多样性指数（SHDI）,讨论了不同土地利用的空间组合下,LST和NDVI的空间差异及相互关系.研究结果显示：LST和NDVI具有明显的相关性,LST大的区域对应NDVI一般都较小,反之亦然;中心城市LST表现出热岛效应,而NDVI则为低谷效应.通过Tamhance T2 post-hoc多重比较发现,LST以及NDVI在两两土地利用类型之间的差异不同.从土地利用斑块和类型两种尺度水平上建立了LST和NDVI的定量关系,二者具有明显负相关的线性关系,但在不同土地利用类型上二者关系并不同.其中工业仓储、交通用地与公园绿地、农业用地差异最为显著.它们和SHDI之间的关系揭示,LST与土地利用多样性具有正相关关系,而NDVI则与SHDI呈负相关关系,SHDI越大的地区,LST越大,而NDVI越小.由此,可以将LST、NDVI和SHDI作为三个基本指标,来定量评价城市土地利用类型、结构对生态环境的影响,以此作为城市功能分区中生态环境影响评价的参考.也为高性价比的中等分辨率遥感数据与GIS空间分析方法结合在城市规划中的应用提供了一种新的思路.     

基于多源遥感信息融合的广东省土地利用分类方法——以雷州半岛为例

准确高效的获取土地利用信息对生态环境评价非常重要。广东省地处华南热带和亚热带季风气候区,经济作物种类繁多,土地覆盖破碎,为土地利用精确分类带来很大不确定性,而常年多云雨的天气也为有效光学影像的获取带来困难。为提高土地覆盖分类精度,以雷州半岛为实验区,综合应用Landsat-TM/ETM、多时相HJ光学影像,以及X波段Terra SAR数据,通过分析不同地物类型在光谱、极化以及多时相特征上的差别,对原始图像进行特征提取。在此基础上融合多源遥感信息的地物特征运用面向对象土地覆盖分类方法获取研究区高精度的土地利用信息。结果显示这一方法能有效提高土地覆盖利用信息获取精度,为研究生态环境变化提供更准确的数据支持。     

A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia's climate

Global climate change is the major and most urgent global environmental issue. Australia is already experiencing climate change as evidenced by higher temperatures and more frequent and severe droughts. These impacts are compounded by increasing land use pressures on natural resources and native ecosystems. This paper provides a synthesis of the interactions, feedbacks and risks of natural climate variability, climate change and land use/land cover change (LUCC) impacting on the Australian continent and how they vary regionally. We review evidence of climate change and underlying processes resulting from interactions between global warming caused by increased concentration of atmospheric greenhouse gases and modification of the land surface. The consequences of ignoring the effect of LUCC on current and future droughts in Australia could have catastrophic consequences for the nation's environment, economy and communities. We highlight the need for more integrated, long-term and adaptive policies and regional natural resource management strategies that restore the beneficial feedbacks between native vegetation cover and local-regional climate, to help ameliorate the impact of global warming.     

Multidimensional analysis of landscape dynamics in a Central African forest-savannah mosaic

Most landscape cover assessments for conservation programmes rely largely on remote sensing analyses. These analyses, however, neglect how people inhabiting protected zones perceive and structure land cover. Using socio-ecological systems (SES) analysis in a forest-savannah mosaic on the Congo Basin forest edge (Democratic Republic of Congo), we investigated how human practices, landscape perceptions and land use patterns affected forest cover. We conducted remote sensing analysis using a Sentinel-2 satellite image and 187 GPS landmarks, producing a land cover map with 11 classes. Our results yielded an 81.85% correspondence with additional 164 GPS landmarks, a robust score in tropical areas. We conducted 40 individual interviews, eighteen focus group discussion workshops and nine months of participant observation of human practices to identify 19 land units and elaborate a granular SES system structuring the landscape. Integrating local knowledge and practices with general ecological and agronomic processes, we developed a landscape dynamics model revealing progressive forest colonisation of savannahs. Our methods demonstrate that a forest-edge landscape cover evaluation through remote sensing and local knowledge can contribute to finer-grained assessment of land cover and ecosystem services. This assessment can assist conservation efforts by considering local populations' practices on and perceptions of landscape change.     

基于中高分辨率遥感的植被覆盖度时相变换方法

植被覆盖度是衡量地表植被状况、指示生态环境变化的一个重要指标,也是许多学科的重要参数。传统的测量方法难以获取时间连续的面状数据,且耗时、耗力,很难大范围推广。遥感估算方法虽然可以弥补传统方法的不足,但由于云覆盖等天气条件的影响,获得同一时相覆盖整个研究区的遥感影像非常困难,时相的差异必然导致研究结果产生误差。针对植被覆盖度这一重要生态参数,结合低分辨率遥感数据的时间优势和中高分辨率遥感数据的空间优势,提出一种时相变换方法,将源于中高分辨率影像的植被覆盖度变换到研究需要的时相上。首先,利用像元二分模型计算MODIS尺度的时间序列植被覆盖度,并利用已经获得的SPOT影像计算其获取时相上的植被覆盖度;其次,利用土地利用图划分植被覆盖类型,并利用MODIS数据和土地利用数据之间的空间对应关系制作MODIS像元内各类植被覆盖的面积百分比数据;再次,利用面积百分比数据提取各类植被覆盖的纯像元,结合MODIS植被覆盖度时间序列,从而提取各类植被覆盖纯像元的植被覆盖度时间序列曲线;最后利用像元分解的方法提取MODIS像元内各类植被覆盖组分的植被覆盖度的变化规律,将其应用到该组分对应位置上SPOT像元的植被覆盖度上,从而将其变换到所需要的时相上。在密云水库上游进行试验,将覆盖研究区的10景SPOT5多光谱影像计算的植被覆盖度统一变换到7月上旬,结果显示:视觉效果上明显好转,且空间上连续一致;变换前后植被覆盖度的统计量对比结果也符合植被生长规律;利用外业样点数据与对应位置的植被覆盖度变换结果进行回归分析,结果发现各植被覆盖类型的R2均在0.8左右,表明变换结果与实测值非常接近,时相变换的效果较好,从而可以很好地促进相关研究精度的提高。     

基于遥感与地理信息数据的科尔沁沙地生态环境状况动态评价

科尔沁沙地处于蒙古、华北与兴安植物区系交汇处,是蒙古高原向东北平原的过渡区,具有丰富的生物多样性,属于典型农牧交错区,亦是东北平原的重要生态屏障。建国以来,受全球气候变化以及城镇化扩张、草原开垦及过度放牧等多重因素影响导致该区生态退化,生态系统服务功能下降。为此,利用遥感和地理信息数据,采用综合评估的方法,对近30年该区重大生态修复工程的实施过程及修复效果进行科学评估,具有重要的理论与实践意义。研究结果表明：1990、2000、2010、2015、2020年该区生态环境指数分别为75.19、70.20、73.51、74.27和74.7,其生态环境的变化可大致分为3个阶段,即退化期(1990—2000年)、恢复期(2000—2010年)和稳定期(2010—2020年)。2000年后,多项国家重点生态工程的实施对生态环境的改善具有明显推动作用,即科尔沁沙地生态环保工程的保护成效显著。城市化进程加快和水资源短缺是该区生态环境改善的主要制约因素,生态保护和地下水资源利用工程的实施仍需加强。研究可为科尔沁沙地生态保护和修复提供科学依据和实践参考。     

基于通量塔净生态系统碳交换数据的植被物候遥感识别方法评价

选择北美洲72座通量塔观测的净生态系统碳交换（NEE）数据来计算植被物候,并以此作为参考数据,从可行性和准确性两方面对阈值法、移动平均法和函数拟合法三大类常用的植被物候遥感识别方法进行了综合评价.结果表明： 基于局部中值的阈值法对植被物候识别的可行性和准确性均最优;其次为Logistic函数拟合法中的一阶导数方法;移动平均法对植被物候识别的可行性和准确性与移动窗口的大小有关,对于16 d合成的归一化差值植被指数（NDVI）时间序列数据来说,移动窗口大小为15时能获得较优的结果;而全局阈值法对植被物候识别的可行性和准确性均最差;Logistic函数拟合法中的曲率变化率方法在识别植被物候时虽然与基于NEE数据得到的植被物候在数值上存在较大偏差,但二者之间具有较高的相关性,说明基于曲率变化率方法识别出的植被物候能较真实地反映植被物候在时空上的变化趋势.     

USLE/RUSLE模型中植被覆盖管理因子的遥感定量估算研究进展

通用土壤流失方程（USLE）及其后续修正方程（RUSLE）是区域土壤侵蚀风险评估和水土保持规划的有效工具.植被覆盖管理因子作为USLE和RUSLE的重要参数之一,其合理估算对土壤侵蚀的准确预测尤为重要.基于野外实地调查和测量的传统估算法费时、费力且费用高,无法满足宏观尺度上植被覆盖管理因子的快速提取.近年来,遥感技术的发展为大尺度植被覆盖管理因子获取提供了丰富的数据和方法.本文基于国内外相关研究成果,综述了植被覆盖管理因子遥感定量估算方法的研究进展,评述了各类方法的优劣,以期为进一步开展大尺度植被覆盖管理因子的定量估算及拓展现有研究思路提供借鉴.     

Classifying the Neotropical savannas of Belize using remote sensing and ground survey

Aim This paper evaluates a method of combining data from GPS ground survey with classifications of medium spatial resolution LANDSAT imagery to distinguish variations within Neotropical savannas and to characterize the boundaries between savanna areas and the associated gallery forests, seasonally dry forests and wetland communities. Location Rio Bravo Conservation Area, Orange Walk District, Belize, Central America. Methods Dry season LANDSAT data for 10 April 1993 and 9 March 2001 covering a conservation area of 240,000 acres (97,459 ha), were rectified to sub‐pixel accuracy using ground control points positioned by GPS ground survey. The 1993 image was used to assess the accuracy with which the boundaries between the savanna matrix and gallery forests, high forests, wetlands and water bodies could be discriminated. The image was classified by a maximum likelihood (ML) classifier and the shapes and areas of forest and wetland classes were compared with an interpretation of these land cover types from 1 : 24,000 aerial photography, mapped at 1 : 50,000 scale in 1993. The 2001 image was used to assess whether different subtypes of savanna could be distinguished from LANDSAT data. This required the creation of a reference (‘ground truth’) data set for testing classifications of the image. One hundred and sixty sample patches (650 ha, distributed over an area of 7000 ha) of ten sub‐types of savanna vegetation and associates identified using a physiognomic classification scheme, were delineated on the ground by GPS and divided into two subsets for training and testing. Continuous classifications of LANDSAT data covering the savannas were developed that estimated potential contributions from up to five sub‐types of land cover (grassland, wetland, pine woodland, gallery forest and palmetto). The accuracy of each classification was assessed by comparison against ground data. An ML classification was also produced for the 2001 image using the same areas for training. This allowed a comparison of the relative accuracy of both continuous and Boolean ML methods for classifying savanna areas. Results The boundary between savannas and evergreen forests, gallery forests and open water in the study region could be delineated by the ML classifier to within 2 pixels (60 m) using LANDSAT imagery. However, the constituent sub‐types within the savanna were poorly discriminated. Whilst the shape and extent of closed canopy forest, gallery forest, wetlands and water bodies agreed closely with the distributions interpreted from aerial photography, classes such as ‘open pine savanna’ or ‘grassland’ were only 45–65% accurate when tested against ground data. A continuous classification, estimating the proportions of three savanna vegetation subtypes (grassland, marshland and woodland) present in each pixel, correctly classified more of the ground data for these cover types than the comparable ML result. Proportional mixtures of the land cover estimated by the continuous classifier also compared realistically with the vegetation formations observed along ground transects. Main conclusions By using GPS, a ground survey of vegetation cover was accurately matched to remotely sensed imagery and the accuracy of delineating boundaries and classifying areas of savanna was assessed directly. This showed that ML classification techniques can reliably delineate the boundaries of savannas, but continuous classifiers more accurately and realistically represent the distribution of the subtypes comprising savanna land cover. By combining these ground survey and image classification methods, medium spatial resolution satellite sensor data can provide an affordable means for land managers to assess the nature, extent and distribution of savanna formations. Over time, using the archives of LANDSAT (and SPOT) data together with marker sites surveyed in the field, quantitative changes in the extents and boundaries of savannas in response to both natural (e.g. fire, hurricane and drought) and anthropogenic (e.g. cutting and disturbance) factors can be assessed.     

基于遥感技术的森林健康研究综述

遥感技术可以有效完成复杂时空尺度海量信息的收集处理,其与森林健康研究的交叉、融合大大提高了复杂时空尺度上森林健康研究的表达能力.目前,森林健康遥感研究正处于各学科交叉、融合、调整,由静态向动态、单一向复杂、零散向系统转变的关键发展时期,但缺乏对森林健康问题的全面考量、逻辑安排和系统的顶层设计.在把握森林健康活力、组织结构和恢复力核心理念的基础上,从森林资源调查、森林生态功能评估、森林健康风险控制和森林植被参数提取四个方面构建和丰富基于遥感技术森林健康研究体系,对国内外森林健康遥感研究进行综述.通过对以上研究内容的总结分析,明确基于遥感技术的森林健康研究各领域的研究进展,及其在理论、技术和应用方面的不足.分析认为:(1)未来应加强森林生态和遥感技术重大基础理论研究,以明确森林结构、过程、功能与遥感数据之间的耦合关系;(2)发展完善新型遥感技术、遥感数据解译算法与软件工具,提高遥感数据的精确度、利用率和利用效率;(3)提升森林健康遥感研究成果的科技转化水平,推进快速分析评价与辅助决策功能研究,指导相关森林健康经营活动和科学研究的开展,以及林业政策的制定.     

基于多源遥感数据的植物物种分类与识别: 研究进展与展望

物种分类与识别是生物多样性监测的基础, 明确物种的类别及其分布是解决几乎所有生态学问题的前提。为深入了解基于多源遥感数据的植物物种分类与识别相关研究的发展现状和存在的问题, 本文对2000年以来该领域的研究进行了总结分析, 发现: 当前大多数研究集中在欧洲和北美地区的温带或北方森林以及南非的热带稀树草原; 使用最多的遥感数据是机载高光谱数据, 而激光雷达作为补充数据, 通过单木分割及提供单木的三维垂直结构信息, 显著提高了分类精度; 支持向量机和随机森林作为应用最广的非参数分类算法, 平均分类精度达80%; 随着计算机技术及机器学习领域的不断成熟, 人工神经网络在物种识别领域得以迅速发展。基于此, 本文对目前基于遥感数据的植物物种分类与识别中在分类对象复杂性、多源遥感数据整合、植物物候与纹理特征整合和分类算法技术等方面面临的挑战进行了总结, 并建议通过整合多时相监测数据、高光谱和激光雷达数据、短波红外等特定波谱信息、采用深度学习等方法来提高分类精度。     

喀斯特生态系统服务功能遥感定量评估与分析

生态系统服务功能评估是人类对自然与生态系统认识成果应用于经济决策的桥梁.西南喀斯特区面临环境恶化和经济社会贫困的双重压力,揭示其生态系统服务功能时空变化特征是实现生态恢复和可持续发展过程中亟待解决的问题.本研究通过多年遥感影像及气象和统计资料等,对喀斯特典型区域桂西北1985～1990～2000～2005年的生态系统服务功能进行了定量评估与分析.其分析结果表明:(1) 生态服务功能呈先降后升、总体减少趋势,4个年份分别是1096.52亿元、887.89亿元、1033.84亿元和1062.57亿元.大致呈由西向东、由山区向峰丛洼地减少的空间分布特征.高值区(西部)是减弱区,低值区(东部)是增强区;(2) 营养物循环、调节气体和有机质生产等单项生态服务功能较高,总和分别占各自年份72.69%、64.57%、70.18%和72.10%;涵养水源、土壤保持和娱乐文化相对较低,都远低于100亿元. (3) 林地和灌木是优势景观类型,也是生态服务功能的主要贡献景观类型,二者总贡献率在各自年份分别为71.22%、70.10%、73.66%、67.03%;居民用地和石漠化地生态服务功能少,总贡献率分别仅为0.90%、0.63%、0.77%、1.14%;(4) 各行政区单位面积的生态服务功能变化幅度比较大,分别由23549.70元/hm2、173.5.10元/hm2、22705.1元/hm2、19062.3元/hm2低至9764.71元/hm2、7689.61元/hm2、9537.01元/hm2、7540 79元/hm2.典型喀斯特区单位面积生态服务功能显著增加,非喀斯特区单位面积生态服务功能明显减少.研究表明,喀斯特区域生态环境移民和退耕还林等石漠化控制措施效果显著,有利于生态系统服务的充分发挥.     

Application of remote sensing to site characterisation and environmental change analysis of North African coastal lagoons

This article describes the use of satellite imagery for identifying key environmental characteristics within three North African coastal lagoons (Merja Zerga, Morocco; Ghar El Melh, Tunisia and Lake Manzala, Egypt) and for detecting the major environmental changes within these environments. A combination of Landsat MSS, Landsat TM, Landsat ETM+ and ASTER imagery was acquired for the three sites for a period covering the last three decades (1972–2004). Following geometric correction and enhancement, the interpretation of the most recent image acquired for each of the three lagoons provides important insights into their current conditions. For Merja Zerga, these include the distribution of the largest channels which drain extensive inter-tidal mudflats and the two major depositional features associated with sources of freshwater. The distribution of marginal aquatic vegetation is highlighted as is the intensive use of the surrounding landscape for agriculture. Intensive agriculture around Ghar El Melh is also indicated. The influence of the Mejerda River, which was diverted away from the lagoon over 100 years ago, is shown to persist as a residual area of deltaic deposits in shallow water that has been eroded over time. Coastal processes including the direction of the alongshore sediment transport and the influence of engineering work associated with port construction can also be recognised. Within Lake Manzala, vegetated islands divide the lake into a series of sub-basins which can be clearly distinguished. The large influence of human activities within this lake can be identified and include reclamation for agriculture and the conversion of parts of the lake bed for fish farms. The historical images available for the three lagoons provide important insights into decadal scale changes, which have been greatest at Lake Manzala. Since the early 1970s large parts of the lake, in particular in the southwest where the shoreline has migrated northwards, have been reclaimed. Major engineering works, such as the El Salam Canal and road embankments, are shown to have resulted in significant lake change. The distribution of emergent vegetation within the lake has also changed. Classification of images for this lake into open water, vegetation and land enables the quantification of these changes. Between 1973 and 2003, the lake declined in area by approximately 50%. Changes at Merja Zerga over the last three decades include reconfiguration of the marine outlet and the expansion of the internal delta at the end of the Nador Canal. The images of this site clearly demonstrate the intensification of agriculture around the lagoon. The most marked changes evident within the images of Ghar El Melh concern the sand bars that separate the lagoon from the sea. Geomorphological processes operating within the coastal zone have resulted in the straightening of the bars with central sections migrating out towards the sea. Remote sensing is established as a promising application for detecting the quantitative surface cover changes in coastal lagoons and their near landscapes. Guest editors: J. R. Thompson & R. J. Flower Hydro-ecological Monitoring and Modelling of North African Coastal Lagoons     

基于GIS和遥感技术的生态系统服务价值评估研究进展

生态系统服务价值评估是当前生态系统管理领域研究的热点,密切联系着人类的生活福祉.本文系统综述了基于地理信息系统(GIS)和遥感(RS)技术的生态系统服务价值评估的研究进展,归纳为以下3个特征：生态经济学理论作为价值定量计算的核心方法被普遍采纳;GIS和RS在数据获取、时空分析和集成平台方面发挥着关键作用;运用生态系统服务功能机理模型模拟自然现象与人类活动之间的关系.根据目前该领域的研究现状及不足,提出了可扩展、分布式的集成研究框架--“生产线”框架,探讨了GIS和RS技术与生态系统服务价值评估集成研究的未来发展趋势.     

基于多源遥感数据的农业干旱监测模型构建及应用

干旱监测问题是干旱灾害模拟与预警及旱灾防灾减灾的关键。基于2001-2013年淮河流域40个气象站资料、28个土壤墒情站点和中分辨率成像光谱仪（MODIS）多源遥感数据,采用SEN趋势法和标准化降水蒸散指数（SPEI）等方法,综合了大气-植被-土壤相互作用等多元成因,构建了适用于淮河流域多源综合遥感干旱监测模型,探讨淮河流域干旱时空规律。研究表明：（1）基于多源数据构建综合干旱监测模型,利用土壤墒情和典型年份干旱监测对综合干旱监测模型适用性进行评价,通过了P < 0.01的显著性检验,构建的模型可综合反映出农业和气象干旱多源信息;（2）淮河流域干旱面积和干旱频率大都集中在4-5月和7-9月,9月份受旱面积最大。河南省是淮河流域受旱频率最高,其干旱面积占淮河流域多年平均干旱面积比重最大（38%）,其次是安徽（22%）,旱地受旱面积比重大于水田受旱面积比重;（3）淮河流域2、3和5月干旱有显著减弱趋势;而1、4和6月则有增强趋势。淮河流域小麦灌浆-成熟时期（4-6月）缺水对小麦粮食产量影响显著,综合淮河流域干旱趋势变化,需强化淮河流域4月份小麦的干旱监测与旱灾预警。     

Interspecific relations of African crocidurine shrews (Mammalia: Soricidae) based on multivariate analysis of mandibular data

Eighteen graded non-metric characters and 30 measurements of the mandible and lower dentition were used to investigate the grouping of African species of the genera Crocidura, Suncus and Sylvisorex. Seventy-seven taxa (species, subspecies and synonyms), including four European species, were represented by one to nine mandibles (147 mandibles in all), and the means of four Pleistocene African species were also included. The metric data were subjected to principal component and canonical variate analyses, and the non-metric data to principal component analysis. Grouping was detected by comparing the results of the three analyses. Six groups are recognized within the genus Crocidura , typified by C. fumosa, C. turba, C. russula, C. fuscomurina, C. hirta and C. flavescens. Sylvisorex is divisible into two groups, typified by S. lunaris and S. granti. The African species of Suncus (but not the introduced species, S. murinus ) form a single group, which is linked to the Sylvisorex granti group. Suncus is closely related to, or convergent with, the Crocidura fuscomurina group. The first non-metric principal component, the second metric principal component and the second canonical variate are significantly correlated. It is considered that these together represent a general trend of evolutionary advance. Phylogenetic relations are discussed in the light of this; Crocidura may be diphylefic.     

基于遥感数据的东海浮游植物生物量时空变化研究

基于地理位置、纬度和生态特征的不同在东海选取了9个面积相同的子区域,采用1997-2015年由SeaWiFS(Sea-Viewing Wide Field-of-View Sensor)和MODIS(Moderate-Resolution Imaging Spectroradiometer)传感器获得的叶绿素a浓度资料,对我国东海浮游植物生物量的时空变化和藻华现象进行了分析。通过高斯曲线模型拟合,得到了藻华爆发的起始时间、峰值时间、结束时间及持续时间。研究表明东海浮游植物生物量在空间上的分布规律为:外海浮游植物生物量小于近岸;长江口和台州列岛海域的浮游植物生物量较大,近黄海海域的两个区域次之,较小的位于南麂列岛海域和台湾海峡,越靠近南部海域浮游植物生物量越低。藻华发生的规律为:以南麂列岛为分界线,由高纬度到低纬度,浮游植物到达藻华发生峰值的时间持续推后,爆发持续时间增长。