庞泉沟自然保护区华北落叶松林的自组织特征映射网络分类与排序

自组织特征映射网络（SOM）是新近引入植物生态学的分析方法,对复杂问题和非线性问题具有较强的分析和求解功能。本研究应用SOM分类和排序研究了庞泉沟自然保护区华北落叶松林。研究结果表明,SOM将120个样方分为7个植物群落类型,分类结果具有明确的生态意义;样方和物种在SOM训练图上呈现一定规律的分布;7个群落类型各有其分布范围和界限,揭示了群落间的生态关系。在此基础上,通过引入一种在SOM训练图上可视化环境因子梯度的方法,能够较好地完成样方、物种和环境因子相互关系的分析,揭示了海拔是影响该区华北落叶松林生长和分布的最主要因子。生态分析表明SOM分类和排序是一种有效的梯度分析方法,适用于表征生态特征和探索群落和环境相互关系的研究。     

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。     

Vegetation succession on the dunes near Oostvoorne,The Netherlands; a comparison of the vegetation in 1959 and 1980

The vegetation of a 150 ha coastal dune area in the SW Netherlands was carefully analyzed and mapped at a scale of 1:2500 in 1959 and 1980. About 600 relevés were treated numerically. 127 vegetation types were distinguished, the overlap in community composition between the two years was very small. An intermediate level between this community level and the level of the structural-physiognomic formation was adopted. 56 so-called subformations, in which floristic and structural characters are combined, have been recognized and the overlap was then considerably larger, at least in number of types. Ordination results suggest that in each subset: grasslands, dune slacks, woodlands + scrubs, the first axis reflects floristic differentiation along with progression. The ordination of the entire material shows moisture as the main factor underlying the first axis, zonation as the second and nutrient status as the third factor. Change in vegetation was detected through a network overlay with 2 300 points for each of which the transition between 1959 and 1980 was scored. The pattern of change between 1959 and 1980 is apparently multiple pathway in type. This would be one of the few examples of such a pattern to be established on the medium term level of change, which is considered as succession sensu strictu. On an areal basis the change in vegetation is extremely large; even on the subformation level only 15% of the area was found to be unchanged, and on the community level only 4%. The overall trend is progression with a strong increase in the area of tall scrubs and woodlands. Retrogression also occurs, partly as a result of disturbances such as fire, partly due to local death of a dominant woody species. This latter phenomenon is interpreted against the background of the starting point of the succession; a sudden release of the inner dune area from overgrazing by cattle and a subsequent rapid dune development (outer dunes) on the beach in front of the inner dunes. Both species and community diversity increased, which is related to both differentiation under progression and to retrogression.     

基于BP神经网络与ETM+遥感数据的盐城滨海自然湿地覆被分类

高效而精确的湿地遥感分类是大范围湿地资源动态监测与管理的必要保障。本研究使用ETM 遥感数据,借助Matlab神经网络工具箱,构建了基于BP神经网络的滨海湿地覆被分类模型,并将其应用于江苏盐城沿海湿地珍禽国家级自然保护区的核心区的自然湿地覆被分类研究中。本研究选择3、4、7、8波段作为输入层变量,单隐藏层设为10个节点,输出层变量对应待划分的8种覆被类型,构建三层式BP神经网络滨海湿地覆被分类模型。结果显示,BP分类总精度为85.91%,Kappa系数为0.8328,与最小距离法和极大似然法的分类总精度相比,分别提高了7.99%和6.08%,Kappa系数也相比提高。研究结果表明,BP神经网络分类法是一种较为有效的湿地遥感影像分类技术,能够提高分类精度。     

Applying remote sensing techniques to monitoring seasonal and interannual changes of aquatic vegetation in Taihu Lake,China

Knowledge of the composition and areal distribution of aquatic vegetation types, as well as their seasonal and interannual variations, is crucial for managing and maintaining the balance of lake ecosystems. In this study, a series of remotely sensed images with a resolution of 30 m (HJ-CCD and Landsat TM) were collected and used to map the distribution of aquatic vegetation types in Taihu Lake, China. Seasonal and interannual dynamics of aquatic vegetation types were explored and analyzed. The distribution areas of Type I (emergent, floating-leaved and floating vegetation) and Type II (submerged vegetation) were used to model their growing season phenology by double logistic functions. The resulting double logistic models showed, the area of Type I reached its peak in mid-August, and the maximum area for Type II occurred in mid-September. From 1984 to 2013, Type I area increased continuously from 59.75 km² to 148.00 km² (R² = 0.84), whereas the area covered by Type II first increased and then decreased, with a trend conforming to a significant quadratic curve (R² = 0.83). The eutrophication and stable state of Taihu Lake was assessed using a simple indicator which was expressed as a ratio of Type II area to Type I area. The results showed that the eutrophication in the lake might have been increasing in the area studied since 2000. Additionally, the results showed that air temperature had likely a direct effect on the growth of Type I (R² = 0.66) and a significant, but delayed, effect on the growth of Type II.     

对中国植被分类系统的认知和建议

《中国植被志》的编写工作已经启动, 藉此征求修订《中国植被分类系统》意见之际, 提出几点看法与建议: 1)贯彻原先制定的中国植被“高级分类单位偏重于生态外貌, 而中、低级分类单位则着重种类组成和群落结构”的分类原则。这一思想与当前国际上植被分类的发展是一致的。2)中国植被分类既要符合中国植被的特点, 又要适应全球植被分类的发展, 名词概念应尽量与国际上的广泛理解相一致。3) “群丛”是《中国植被志》描述的基本对象, 其概念需要统一, 以避免歧义和可能导致的南北“群丛”的不等质。资料不足的类型应组织野外补点调查。4)植被分类等级系统是严格的, 但各等级又是开放的, 可适当地增设高级分类单位, 以适应类型扩展之需要。该文附有从植被型纲到植被型的建议草案。     

中国东北西部地区沙质荒漠化过程与植被动态关系的生态学研究：植被的排序

根据东北沙质荒漠化地质呼伦贝尔沙地,科尔沁沙地的72个沙地植物群落样地,276种植物的调查数据进行DCA排序,排序结果充分反映了沙地植被与地理因子,气候因子,地形因子,水文因子,干扰因子的关系,DCA排序的第1轴反映沙地植被分布的水分梯度;第2轴反映土壤梯度;第4轴主要反映热量梯度;DCA的1、4轴排序图和1,2,4轴排序图,反映沙地植被与沙质荒漠化的生态规律,采用定性因子评价赋值与定量因子相结合的方法,经双重筛选逐步回归分析,建立了沙地植被DCA排序坐标与地理,气候,地形,水文,干扰等诸多生态因子的线性回归模型。     

植被类型与坡位对喀斯特土壤氮转化速率的影响

土壤氮素转化对于植物氮素营养具有重要作用,尤其是对于受氮素限制的喀斯特退化生态系统。选取植被恢复过程中4种典型喀斯特植被类型(草丛、灌丛、次生林、原生林)和3个坡位(上、中、下坡位)表层土壤(0—15cm)为对象,利用室内培养的方法,研究不同植被类型和坡位下土壤氮素养分与氮转化速率(氮净矿化率、净硝化率和净氨化率)的特征及其影响因素。结果表明,植被类型对土壤硝态氮含量、无机氮含量、氮净矿化率、净硝化率和净氨化率均有显著影响(P0.01),即随着植被的正向演替(草丛—灌丛—次生林—原生林),土壤硝态氮含量、无机氮含量、土壤氮净矿化速率和净硝化速率整体上呈增加趋势,而坡位以及坡位与植被类型的交互作用对上述土壤氮素指标无显著影响(P0.05)。冗余分析结果表明凋落物氮含量、凋落物C∶N比和硝态氮含量对土壤氮转化速率有显著影响,其中凋落物氮含量是影响土壤氮转化速率的主要因子(F=35.634,P=0.002)。可见,尽管坡位影响喀斯特水土再分配过程,但植被类型决定的凋落物质量(如凋落物氮含量等)对喀斯特土壤氮素转化速率的作用更为重要。因此,在喀斯特退化生态系统植被恢复初期,应注重植被群落的优化配置(如引入豆科植物)和土壤质量的改善(如降低土壤C∶N),促进土壤氮素转化及氮素的有效供给。     

Gradient analysis and classification of the woody vegetation for four sites in southern Illinois and adjacent Missouri

The woody vegetation and associated soil-site variables from a range of upland to swamp sites were measured using 480 0.04 ha plots from Little Black Slough, Goose Pond and Horseshoe Lake in Illinois, and Mingo Wildlife Refuge, Missouri. Multiple regression, correlation, and factor analysis were used to relate soil-site data to vegetation structure and composition. Coenoclines of both the understory and overstory were constructed to represent the upland-swamp vegetation gradient of the region near the northern terminus of the southern floodplain forest. Percent sand, depth of flooding, and silt content were variables most strongly related to the understory coenocline. Depth of flooding, and clay content were most strongly related to the overstory coenocline. Beta diversities of the understory and overstory coenoclines were 5.8 and 6.9HC. Understory density and overstory basal area increased and species richness and heterogeneity decreased along the upland-swamp gradient.Classification techniques identified three or four major overstory vegetation types within each study area. The 15 overstory types were ordinated and environmental characteristics summarized for each. Mingo Wildlife Refuge had the least flooding and lowest soil clay content. Classification of all 480 plots from the four study areas identified three major understory groups (mesic, floodplain and swamp) and eight overstory groups. These eight include aQuercus velutina-Q. alba, Quercus rubra-Q. alba, Liquidambar styraciflua-Ulmus americana, Quercus phellos-Q. palustris, Quercus lyrata-Acer rubrum, Acer rubrum-Nyssa aquatica, Nyssa aquatica-Taxodium distichum and aTaxodium distichum-Nyssa aquatica type arranged from upland to swamp.Botanical nomenclature follows Mohlenbrock (1975).Horseshoe Lake and Little Black Slough studies were supported, in part, by McIntire-Stennis Grants to PAR through the Department of Forestry, Southern Illinois University. The Department of Botany, Southern Illinois University provided support for the studies in Goose Pond, Illinois and Mingo Wildlife Refuge, Missouri. We thank Chris Baker and especially Claudia Mitchell for aid in data acquisition and analysis.     

A study on annual changes in surface cover of floating-leaved plants in a lake using aerial photography

A simple method of aerial photography was used to investigate annual and between-year changes in surface cover of the floating-leaved plants, Nymphoides peltata, Nelumbo nucifera and Trapa natans, in natural stands in Lake Kasumigaura. Oblique photographs of vegetation were taken with a 35-mm camera with real color film from airplanes between 1983 and 1989. Vegetation maps were traced on the positions after projective transformation to vertical photography. The distribution of the stand of Nymphoides peltata seemed to be restricted to a region of less than 1.5 m water depth. A rise of 1.0 m in the water level after a typhoon in 1986 caused a subsequent decrease in vegetation area of Nelumbo nucifera. The vegetation recovered in shallower regions after one year in 1987. The expansion rate of Nymphoides peltata and Nelumbo nucifera in one direction was in the range 3.8–10.0 m yr^-1 and 4.1–20.8 m yr^-1, respectively. Nelumbo nucifera, Nymphoides peltata and Trapa natans, having high leaf biomass to total biomass may therefore be more vulnerable to large flood and waves. Fluctuation in water level and spatial difference in water depth may also be important factors determining the vegetation area and survival of Nymphoides peltata, Nelumbo nucifera and Trapa natans.     

Numerical classification and ordination of ruderal plant communities (Sisymbrietalia,Onopordetalia) in the western part of Slovakia

The ruderal communities of the orders Sisymbrietalia and Onopordetalia from the western part of Slovakia have been subjected to numerical classification and ordination. The ordination techniques proved to be a useful tool in the elucidation of the cluster pattern as well as in the detection of the main environmental variation underlying the floristic variation within the data. Results obtained with numerical techniques and traditional syntaxonomical classification have been compared. The similarity between these results is low at the level of the orders. This incompatability is explained by the differences in the weighting of the species in the course of the classification process and by the addition of non-floristical criteria that often occurs in syntaxonomical classification according to Braun-Blanquet. The highest value has been observed at the 3-clusters level (both orders and the Malvion neglectae). High similarity among the results of the numerical techniques have been observed, particularly in the group of space-dilating clusterings (Ward's method, Complete linkage clustering and MeQuitty's similarity analysis). Average linkage clustering produces the most diverse result. The Malvion neglectae appeared as a separate group in all numerical techniques adopted. This suggests the upranking of its syntaxonomical position. The Bromo-Hordeion murini turned out to be a very heterotoneous syntaxon.     

Analysis and classification of vegetation based on family composition

Summary The distributions of 54 plant families in 105 samples were studied to determine their indicator value in the vegetation of the Pacific Northwest. Families may be characteristic of particular environments or geographic conditions or they may distinguish between sets of samples. Principal components analysis, numerical classification, and stepwise discriminant analysis were used in this study.Principal components analysis identifies a family if it is common or dominant and has a distribution concentrated at one extreme of an axis of variation. Families with consistent patterns of distribution are useful in distinguishing between groups of samples previously created by numerical classification methods.Twenty-three families that contain environmental, successional, or geographical information were identified according to one or more methods.Nomenclature for species names in Washington follows Hitchcock & Cronquist (1973). Species names from the Alsek River, Yukon Territory, follows authorities cited by Douglas (1974).This study was funded in part by the U.S. National Science Foundation and by the Graduate School, University of Washington. We thank A.R. Kruckeberg, M.J. Cushman, R.A. Lerner, V. Seymour and A.F. Watson for thoughtful comments and stimulating discussion and R.W. Fonda, R.T. Kuromoto, G.W. Douglas and J.A. Belsky for the use of their data.     

黄土丘陵区坡面植被盖度及其配置格局的水蚀效应模拟

黄土高原因土壤侵蚀严重被视为生态脆弱地带,探讨植被盖度及其所处坡位对土壤侵蚀的响应,对坡面侵蚀产沙的预测和调控具有重要意义。基于WEPP模型情景模拟,分析了分布广泛、耐旱性强的长芒草和典型恢复灌木植被柠条在不同雨强(0.5、1.0、1.5 mm/min)、不同植被盖度(20%、40%、60%、80%)和不同坡位(坡上、坡中、坡下)条件下的土壤侵蚀变化情况,运用双因素方差分析和相关贡献指数阐明坡面侵蚀产沙特征对坡位和植被盖度交互作用的响应,并提出植被配置的优化模式。结果表明:(1)提高植被有效覆盖度是减小土壤侵蚀的重要举措,且当植被分布在下坡位时坡面土壤侵蚀最少;(2)植被盖度可以有效减少产沙量。小雨强时,柠条和长芒草随盖度增加对泥沙的拦截率分别从38%增加到90%,64%增加到96%;中、大雨强时,植被盖度小于20%或者大于80%时,长芒草坡面产沙量大于柠条坡面。盖度为40%—60%时,长芒草坡面产沙量小于柠条坡面;(3)双因素方差分析表明:坡位和植被盖度对坡面侵蚀产沙量有极显著的影响(P0.001);当植被是长芒草时,坡位和植被盖度交互作用对坡面侵蚀产沙有显著影响(P0.01),植被是柠条时,坡位和植被盖度交互作用对坡面侵蚀产沙作用不显著;(4)通过模拟柠条和长芒草不同配置情景得出:长芒草分布在坡面下部产沙量较小,且当柠条和长芒草配比为1∶2时产沙量最小。     

上海市气候变化和人类活动对植被物候的影响

植被物候是气候和自然环境变化的综合指示器,同时也是研究植物生长发育与气候变化的重要参数。随着经济社会的发展夜间灯光兼具指示人类活动信息和光照强度的特点,成为研究城市生态系统和生态建设的热点。基于此,利用地理探测器分析方法和变量投影重要性指标,从时间和空间尺度上探究温度、降水、辐射和夜间灯光对2001—2020年上海市植被物候进行时空变化分析和归因分析,并结合城区和郊区的差异进一步分析夜间灯光和环境因子对物候的影响贡献。结果表明：2001—2020年上海市城区温度高于郊区约0.63℃,春季物候(start growth of season, SOS)提前郊区10d左右,秋季物候(end growth of season, EOS)推迟郊区7d左右,夜间灯光高于郊区2.9倍并且其重心向沿海方向显著偏移。空间尺度上夜间灯光对SOS的影响权重最大(q=0.15),并且辐射∩夜间灯光的组合驱动对城区和郊区的植被物候影响权重均最大(q_max=0.29)。时间尺度上SOS与温度的关系最密切,且随温度的增加而提前(平均R_温度=-0.24),EOS与夜间灯光的...     

A vegetation-ecological approach to the classification and evaluation of potential natural vegetation of the Fagetea crenatae region in Tohoku (northern Honshu), Japan

A new vegetation-ecological approach is proposed for classification and evaluation of vegetation zones by means of phytosociological landscape analysis, based on the potential natural vegetation. The study area is the “Fagetea crenatae region” of the cool-temperate zone of Tohoku (northern Honshu) and the northern parts of Kanto. The area was divided into 953 geographic quadrats on a base map at a scale of 1 ∶ 500000. Based on climax complexes of vegetation in each quadrat, 55 community sub-groups were distinguished as basic units of community complex and vegetation landscapes. The community sub-groups were then grouped into 17 larger community groups by the phytosociological table method. As a result, three phytogeographic vegetation zones (Japan Sea side, inland areas and Pacific side) were classified. For each of these community sub-groups, five geographical and climatic variables (average altitude, mean annual temperature, Kira's warmth index, annual precipitation and mean annual maximum snow depth) were averaged, and the community sub-groups in the same community group, which resembled each other ecologically, were assembled into 28 clusters. The clusters were combined into 11 ecological groups by means of Pearson's similarity ratio of geographical and climatic characteristics. By comparing these ecological groups as a vegetation complex, four phytogeographic vegetation zones (Japan Sea side, inland areas, Pacific side and northern Honshu) corresponding to each potential natural vegetation region with distinct environmental characteristics, were newly classified.