福建万木林自然保护区森林群落物种多样性

福建万木林自然保护区森林群落物种多样性朱锦懋姜志林郑群瑞蒋伟（南京林业大学森林资源与环境学院,２１００３７）（福建省建瓯市林委,３５３１００）ＳｐｅｃｉｅｓＤｉｖｅｒｓｉｔｙｉｎｔｈｅＦｏｒｅｓｔＣｏｍｍｕｎｉｔｙｏｆＷａｎｍｕｌｉｎＮａｔｕｒｅＲｅ...     

庞泉沟自然保护区森林群落物种多样性

以庞泉沟自然保护区海拔1630-2430 m的森林群落为研究对象,采用样方法(共取10 m×10 m样方84个)进行物种组成和环境因子调查,对物种多样性及其与环境因子的关系进行研究.结果表明:(1)随着森林群落垂直分布的变化,即从山体下部(1630～2000 m)的华北落叶松灌木群落到山体中部(2000～2200 m)的华北落叶松云杉桦木混交林群落,再到山体上部(2200～2430 m)的华北落叶松苔草群落,物种丰富度指数(R_0)与Shannon-Wiener指数(H)呈现由小增大(在中部达最大)和由大减小的趋势;而Simpson指数(λ)和Pielou均匀度指数(E)则呈现持续增大趋势.(2)海拔与R_0(r=-0.541,P<0.01)、H(r=-0.377,P<0.01)呈极显著负相关,与λ(r=0.495,P<0.01)呈极显著正相关;坡向与R_0(r=-0.365,P<0.01)呈极显著负相关,与日(r=-0.250,P<0.05)呈显著负相关,与λ(r=0.356,P相似文献   

山西庞泉沟自然保护区森林群落物种多样性

在对山西庞泉沟自然保护区森林群落进行数量分类的基础上,运用丰富度指数、物种多样性指数和均匀度指数对保护区内森林群落的物种多样性进行了研究,并对森林群落各层片之间的物种多样性进行了相关性分析.结果表明:(1)森林群落15个群丛的丰富度指数、物种多样性指数和均匀度指数能很好地反映各群丛多样性变化规律.(2)各群丛的丰富度指数和物种多样性指数总体上呈现草本层＞灌木层＞乔木层,草本层的均匀度最小,大多数森林群落乔木层和灌木层的均匀度比较接近.(3) Patrick指数、Simpson指数、Shannon指数以及Pielou指数和Alatalo指数之间表现极显著差异性(P＜0.01).(4)群丛3(华北落叶松-土庄绣线菊+美蔷薇-东方草莓群丛)灌木层和草本层之间呈显著负相关(r=-0.643,P＜0.05);群丛8(白桦+山杨-灰栒子+美蔷薇-中亚苔草群丛)乔木层和灌木层呈显著负相关(r=-0.458,P＜0.05),灌木层和草本层则呈显著正相关(r=0.404,P＜0.05);群丛11(白杄-中亚苔草+烟管头草)的乔木层和草本层之间呈显著负相关(r=-0.949,P＜0.05).     

北京松山自然保护区典型植物群落物种多样性研究

基于2017年对北京松山自然保护区6种典型植物群落物种调查数据,选取α、β多样性指数描述植物群落乔、灌、草本层植被多样性特征,分析影响植物群落多样性的主导因素。结果表明：(1)研究区内共有40科58属75种植物种;主要乔木优势种为油松(Pinus tabulaeformis)、蒙古栎(Quercus mongolica)、毛白杨(Populus tomentosa)和山杨(Populus davidiana);灌木层优势种为土庄绣线菊(Spiraea pubescens Turcz.)和扁担杆(Grewia biloba G. Don);林下草本多以菊科植物(Compositae)为主。(2)不同植物生长型间Shannon Wiener多样性与丰富度指数排序均为草本层＞灌木层＞乔木层;随着山体高度的增加,林下草本α多样性指数增大,草本物种丰富度、均匀度都对其α多样性影响较大。(3)分析从山底到山顶草本β多样性指数的变化趋势发现,草本共有种经历先减少后增加,物种替代率则呈先增大后降低的变化模式。研究认为,在今后生物多样性保护实施过程中,需按照自然演替规律,综合考虑冠层物种组成与结构、微地形的调控作用,制定合理可行的保护经验和技术,为森林群落多样性保护及其生态功能的发挥提供科学支撑。     

松山自然保护区森林群落的数量分类和排序

根据68个森林群落样方数据,采用双向指示种分析(TW INSPAN)方法,对松山自然保护区的森林群落进行分类和采用除趋势对应分析(DCA)、典范对应分析(CCA)方法进行排序。结果表明:(1)TW INSPAN将该区的森林群落分为13类型;(2)样方的DCA排序及样方和优势种的CCA排序较好地揭示了该区森林群落的分布格局与环境梯度的关系;CCA第一轴明显地反映出森林群落的海拔梯度、枯枝落叶层厚度和土壤深度变化,沿CCA第一轴从左到右,海拔逐渐升高,枯枝落叶层越厚和土壤越深;第二轴与海拔高度和坡度成正相关,而与土壤紧实度成负相关。其中海拔梯度是环境因子中对森林群落起决定性作用的因子。(3)与DCA相比,CCA的排序轴更有利于生态意义的解释,后者能同时反映样方间在种类组成上及环境因子组成上的相似性,表现在排序图中样方较集中,群落间的界线变得较模糊,因此如果排序同分类结合使用,DCA的效果要好于CCA。(4)TW INSPAN分类与DCA和CCA排序的结果,同时表明了该地区森林群落的垂直分布格局。     

地带性森林群落物种多样性的比较研究

在群落调查以及文献收集的基础上,对暖温带地区、暖温带和亚热带过渡地区、亚热带地区以及热带地区的典型地带笥植被不同群落类型群落多样性进行了分析和研究。结果发现这４类地区物种多样性的变化具有一定的规律性,具体表现在热带地区群落乔木层的物种丰富度和多样性为最高,然后依次是亚热带地区、秦蛉地区和东灵山地区;灌木层的物种丰富度和多样性则以亚热带地区为最高,其次是秦岭地区,热带地区的则仍高于东灵山地区;灌木层     

山西霍山森林群落林下物种多样性研究

在野外获得样方的基础上,采用多样性指数、丰富度指数、均匀度指数等对山西霍山森林群落林下灌木层和草本层的物种多样性进行了研究,结果表明,多数森林群落林下灌木层多样性指数和均匀度指数均高于草本层,而丰富度指数则相反。灌木层和草本层物种多样性指数的顺序为:针阔叶混交林>针叶林>落叶阔叶林,主要是由于针阔叶混交林兼有针叶林和落叶阔叶林的共同特征,因而具有较高的多样性。灌木层和草本层多样性指数、丰富度指数和均匀度指数在海拔梯度上呈单峰曲线变化趋势,即中海拔(1500 m)高度上物种多样性最大,这主要是由于在这一海拔范围内水热条件组合较好,人类活动干扰较少所致。     

闽北地区森林群落物种多样性的测定

采用8个物种多样性指数对闽北地区的8个森林群落类型物种多样性进行测定,并选用4个种一多度关系模型(对数正态分布、Weibull分布、对数级数分布、生态位优先占领模型)分析其物种-多度关系,把多样性指数与对数正态分布、Weibull分布和生态位优先占领模型的有关参数进行线性回归,以分析多度模型参数描述物种多样性的可行性。结果表明：(1)多数物种多样性指数对群落的测度是一致的,(2)对数正态分布、Weibull分布和生态位优先占领模型对8个群落的物种多度拟合效果很好;(3)对数正态分布、Weibull分布和生态位优先占领模型有关模型参数与部分物种多样性指数的线性关系达显著或极显著水平。通过闽北地区8个类型森林群落物种多样性指数测定,使生物多样性较准确地数量化,同时还说明采用改进单纯形法进行非线性分布函数的拟合是简单有效的,可推广应用。     

浙江仙居俞坑森林群落物种多样性研究

分别采用物种丰富度、物种多样性指数和群落均匀度指标对浙江省仙居县俞坑森林群落的物种多样性进行测定和分析。结果表明：本木植物的物种多样性以生境优越的常绿阔叶林为高,木本植物的物种丰富度、物种多样性指数明显大于草本植物。在群落垂直结构中,木本植物等2层的物种丰富度、物种多样性指数均显著大于第1层。物种丰富度以木本第3层最大,草本层最小;而物种多样性指数、群落均匀度则以木本第2层最大、草本层最小。木本植物各层次、草本层的物种多样性各项指标在群落各样地间均有一定的差异。     

幕阜山森林群落结构与物种多样性研究

幕阜山地处中亚热带-北亚热带过渡地带,物种资源丰富.通过对其典型样地的调查,分别采用Shannon-Wiener指数、Simpson指数和Pielou均匀度指数作为测度指标,研究了幕阜山地区森林群落结构及其物种多样性特征.结果表明,该地区主要有21个森林群落类型.其中常绿阔叶林中,物种丰富度指数与多样性指数在群落梯度上的总体趋势均为灌木层相对高于乔木层,乔木层相对高于草本层;在落叶阔叶林中,其丰富度指数的趋势为灌木层＞草本层和乔木层,而在草本层与乔木层间是波动的,多样性指数的趋势为灌木层＞草本层＞乔木层;在针叶林中,物种丰富度、多样性指数表现的总趋势基本一致,即灌木层的丰富度相对较高,其次为草本层,乔木层的相对较小.在其他群落类型中,多样性指数、均匀度指数在乔木层、灌木层和草本层则表现出多样化的趋势;另外,从总体上看,各种指数在海拔梯度上并未表现出明显的规律性.     

Functional diversity research of forest communities in the Xiaowutai Mountain National Nature Reserve,Hebei

Plant functional traits are the plant physiological characteristics which can response to the changes of the living environment and have a certain impact on the ecosystem structure and function. The objective of our study was to explore characters of present functional diversity indices, the relationships between functional diversity and environmental variables, the relevance of species diversity and functional diversity. In this paper, habitat type, seed dispersal, pollination method, life cycle, life form, leaf form, leaf hair type, flowering period and flowering time were chosen as functional traits, and the research were done in the typical forest communities in the Xiaowutai Mountain National Nature Reserve, Hebei. One hundred and forty-eight quadrats (10 m × 10 m) of forest communities were established along altitude gradients, at the same time, species composition, functional traits, and environmental variables were measured in each quadrat. The results showed that functional diversity indices in forest communities that were calculated by functional distances varied greatly. Functional diversity indices (FAD, MFAD, FDp, FDc, FRic, Rao and FDis) had highly significantly positive correlation with Patrick index and showed a linear increasing trend. All the nine functional diversity indices (FAD, MFAD, FDp, FDc, FRic, Rao, FEve, FDiv, FDis) had significantly correlation with Shannon-Wiener index and Pielou index. Only FDiv showed significantly negative correlation, and the other eight functional diversity indices showed positive correlation. Environmental filtering was important to functional diversity pattern, and functional diversity indices showed correlation with environmental variables. Altitude was a significant factor to functional diversity in forest communities. Except for FDiv, other functional diversity indices displayed a decreasing trend along altitude gradients. Among all the functional diversity indices, only Rao and FDis showed significantly positive correlation with aspect. The functional diversity indices (FAD, MFAD, FDp, FDc, FRic, Rao and FDdis) showed a negative correlation with slope, slope position, litter layer thickness, soil thickness, while, they showed a positive correlation with soil temperature and disturbance. All the nine indices were proved successful in the analysis of functional diversity in forest communities with different effectiveness. They were divided into three categories, functional richness (FAD, MFAD, FDp, FDc, FRic), functional divergence (Rao, FDis), functional evenness (FEve, FDis). Meanwhile, each category was highly inter-correlated and each category was relatively independent with other categories. The study of functional diversity provides a number of ecological indication and monitoring methods for the forest, and it can address a wide range of important ecological questions that links species and ecosystems through mechanisms in biodiversity research.     

北京松山国家级自然保护区野生种子植物分布及物种组成分析

采取踏查、样方和样线相结合的方法,调查了北京松山国家级自然保护区内野生种子植物的分布状况,并对其种类组成和分布区类型进行了分析。调查结果显示：该保护区内共有野生种子植物92科382属721种,其中,裸子植物3科4属5种、被子植物89科378属716种;被子植物中包含双子叶植物78科298属569种和单子叶植物11科80属147种。含20种或20种以上的科有7个,包含的属、种数量均占该保护区野生种子植物属、种总数的40%以上,优势科现象明显;含1种和含2-4种的属分别有235和128个,具有绝对优势。该保护区野生种子植物科的分布区类型可分为8个,除世界广布科外,以泛热带分布型科和北温带分布型科为主;属的分布区类型可分为15个,以北温带分布型属为主,热带性质属与温带性质属的数量比为0.20。该保护区内有国家重点保护野生植物2种、北京市重点保护野生植物52种,其中包含兰科（Orchidaceae）植物14属18种以及数量极少的丁香叶忍冬（LoniceraoblataK.S.HaoexP.S.HsuetH.J.Wang）和北京市特有植物北京水毛茛（BatrachiumpekinenseL.Liou）;该保护区内还有7种具有入侵倾向的外来植物。此外,还有北京新记录植物3种,分别为柳叶野豌豆也Viciavenosa（Willd.exLink）Maxim.页、北方红门兰（OrchisroborowskiiMaxim.）和廻旋扁蕾也Gentianopsiscontorta（Royle）Ma页。研究结果表明：该保护区的野生种子植物区系具有典型的温带性质并有一定的过渡性。     

北京松山自然保护区蒙古栎林的空间结构特征

以松山自然保护区面积为0.6 hm²样地的调查数据为基础,利用角尺度、大小比数和混交度3个林分空间结构参数,分析了蒙古栎天然林的空间结构特征.结果表明：蒙古栎林乔木层共有10个种群,蒙古栎种群密度和断面积占有明显优势,是乔木层的优势种和建群种;蒙古栎林平均混交度为0.299,林分混交程度低,优势种以零度混交和弱度混交为主,伴生种的混交状况普遍较好;蒙古栎和油松种群在空间结构单元中以优势木、亚优势木和中庸木为主,分别占种群总株数的68%和58%,其他种群的树种优势度不明显,多为被压木;该林分的空间分布格局为聚集分布,但林木聚集程度和聚集规模较低.     

Quantitative classification and ordination of forest communities in Pangquangou National Nature Reserve

Quantitative analysis of ecological relationships between vegetation and the environment has become an essential means in the field of research of modern vegetation ecology. In this article, based on data from 84 quadrates, forest communities in this reserve were investigated using TWINSPAN, DCA and DCCA. The results will be helpful in the construction and development of Pangquangou National Nature Reserve. Using TWINSPAN, the forest communities were classified into seven types. The distribution pattern of vegetation reflects the comprehensive influence of environments. The results of DCA and DCCA clearly reflect the relationship between the pattern of forest communities and environmental gradients. The ordination result of DCCA indicates that altitude is more important than other environmental factors because the change of altitude gradient will lead to changes in the temperature and humidity gradients. The first of the DCA ordination axes indicates the humidity gradient, and the second indicates the temperature gradient. All these results show that the main factors restricting the distribution of communities in this reserve are temperature and humidity. The ecological meaning of the ordination axis in DCCA is much clearer than that in DCA, and the species-environment correlation of DCCA is more obvious than DCA. The first DCCA axis indicates the altitude gradient among the communities, while the second is the gradient in aspect and slope among the communities. DCCA ordination can simultaneously express similarities of species and environment. Therefore, the quadrat location in the DCCA ordination figure is much closer than in the DCA.     

Quantitative classification and ordination of forest communities in Pangquangou National Nature Reserve

Quantitative analysis of ecological relationships between vegetation and the environment has become an essential means in the field of research of modern vegetation ecology. In this article, based on data from 84 quadrates, forest communities in this reserve were investigated using TWINSPAN, DCA and DCCA. The results will be helpful in the construction and development of Pangquangou National Nature Reserve. Using TWINSPAN, the forest communities were classified into seven types. The distribution pattern of vegetation reflects the comprehensive influence of environments. The results of DCA and DCCA clearly reflect the relationship between the pattern of forest communities and environmental gradients. The ordination result of DCCA indicates that altitude is more important than other environmental factors because the change of altitude gradient will lead to changes in the temperature and humidity gradients. The first of the DCA ordination axes indicates the humidity gradient, and the second indicates the temperature gradient. All these results show that the main factors restricting the distribution of communities in this reserve are temperature and humidity. The ecological meaning of the ordination axis in DCCA is much clearer than that in DCA, and the species-environment correlation of DCCA is more obvious than DCA. The first DCCA axis indicates the altitude gradient among the communities, while the second is the gradient in aspect and slope among the communities. DCCA ordination can simultaneously express similarities of species and environment. Therefore, the quadrat location in the DCCA ordination figure is much closer than in the DCA.     

贵州省宽阔水国家级自然保护区草本植物区系及物种多样性研究

该研究以宽阔水国家级自然保护区野生草本植物为研究对象,依据不同生境类型共选取10个样地进行调查,分析草本植物物种组成、区系特点及物种多样性的变化规律,为保护区草本植物物种多样性研究提供基础资料。结果表明：(1)样地内共有草本植物58科183属277种(含种下分类单位),以菊科(Asteraceae)、唇形科(Lamiaceae)、禾本科(Poaceae)和荨麻科(Urticaceae)为优势科;以凤仙花属(Impatiens)、堇菜属(Viola)、蓼属(Persicaria)和冷水花属(Pilea)为优势属。(2)在分布区类型中,科的热带分布成分最多,这与保护区所处的中亚热带植被环境的特点相吻合,属的温带地理分布比重最大(61.69%),但温带分布属内含种数较少,均以单种属为主,相反热带分布属的种数较多,并且属级在区系性质的分析中和科级相比更为敏感和可靠;由科和属的性质递变来看,热带性与温带性成分相互渗透,有较明显的过渡特征,属级的地理分布反映出保护区草本植物区系属于亚热带向暖温带过渡分布的性质。(3)各样地中草本植物群落组成有较大的差异,不同样地草本植物群落的α多样性指数与丰富度指数的变化格局不完全一致,但总体变化趋势是一致的,均在样地7的草本植物群落中达到峰值;相异性系数和Cody指数变化格局较为一致,总体呈现上升的趋势;样地8中草本植物多样性指数偏低,受人为干扰因素影响较大。     

河北小五台山国家级自然保护区森林群落与环境的关系

植物与环境之间的关系是一个复杂的演变过程,运用数量生态学方法探讨森林群落的物种组成、种群的生态特征、不同植物群落与环境之间的关系,有助于保护该区森林群落的稳定性和生物多样性。根据148个森林群落样方数据,选用双向指示种分析(TWINSPAN)和典范对应分析(CCA)方法,对河北小五台山国家级自然保护区森林群落进行分类和排序研究。结果表明:(1)TWINSPAN将该区的森林群落分为20个类型;(2)CCA排序结果较好地反映出群落分布格局与环境梯度的关系,各个森林群落类型在前两轴分异明显,在11个环境因子中,海拔、坡位、凋落层厚度、土壤导电率、土壤温度、土壤湿度、土壤厚度和干扰程度这8个环境因子对森林群落的分布起较大的作用,影响森林群落的分布格局,形成不同的植被类型。(3)乔木层优势种的CCA二维排序图所揭示的环境梯度与群落类型的分布有很大的相似性;t值双序图阐明了海拔、凋落层厚度、土壤温度、干扰程度等环境因子对森林群落乔木层优势种有着重要影响。采用TWINSPAN分类与CCA排序的方法,较好地解释了森林群落与环境因子的关系,为小五台山地区森林生态系统的科学管理和保护提供了理论依据,研究结果也为同类地区森林生态系统研究及保护提供参考和借鉴。