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1.
庞泉沟国家自然保护区森林群落的数量分类和排序   总被引:18,自引:3,他引:15  
张先平  王孟本  佘波  肖扬 《生态学报》2006,26(3):754-761
根据84块样方资料,对庞泉沟国家自然保护区的森林群落进行TWINSPAN分类和DCA、DCCA排序.结果表明:(1)TWINSPAN将该区的森林群落分为7个类型;(2)样方与物种的DCA排序及样方的DCCA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:DCCA第一轴明显地反映出森林群落的海拔梯度,即热量因子,沿DCCA第一轴从左到右,海拔逐渐升高,森林群落对热量的要求降低;DCCA第二轴主要表现出森林群落的坡向、坡度变化趋势,即水分和光照因子,沿DCCA第二轴,从下到上,坡向由阴坡向阳坡变化,坡度由平缓变陡峭.其中海拔梯度是环境因子中对森林群落分布起决定性作用的因子.(3)与DCA相比,DCCA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,因此如果同分类结合使用,DCA的效果要好于DCCA.(4)TWINSPAN分类与DCA和DCCA排序的结果,同时表明了该地区森林群落的垂直分布格局.  相似文献   

2.
北京山区防护林优势树种分布与环境的关系   总被引:2,自引:0,他引:2  
邵方丽  余新晓  郑江坤  王贺年 《生态学报》2012,32(19):6092-6099
在北京山区,以该区防护林主要树种为依据,选择在典型天然林中设置26块具有代表性的样地,并计测样地中乔木树种的重要值以及包括海拔、坡度、土壤含水量、土壤养分等14个环境因子,采用除趋势典范对应分析(DCCA)方法对样地乔木和环境因子进行分析,以揭示该区防护林优势树种与环境因子间的关系。根据样地树种组成及树种重要值首先将26块样地划分为以油松(Pinus tabuliformis)、侧柏(Platycladus orientalis)、栎类(Quercus spp.)、杨桦(Populus davidiana-Betula platyphylla)及落叶松(Larix principis-rupprechtii)为优势种的5个典型群落类型,然后应用DCCA方法进行分析,结果表明,在各个环境因子中,海拔作为大多数环境因子的综合反映,是影响植被群落分布最重要的环境因子,第一排序轴主要反映海拔、水分、土壤有机质等的变化,第二排序轴主要反映坡度、坡向的变化,各植被群落类型沿着第一排序轴呈有规律的分布;将环境因子对物种分布格局的影响进行定量分离,结果显示,14个环境因子解释了43.19%的物种分布格局,其中地形因子解释部分为20.36%,土壤因子解释部分为11.9%,土壤和地形的交互作用解释部分为10.93%。  相似文献   

3.
秦岭中段松栎混交林群落数量分类与排序   总被引:1,自引:0,他引:1  
依据陕西省境内秦岭山脉中段设置的34个样地调查资料,从植物物种组成、植物群落与地形因子之间的关系等对该区域松栎混交林群落进行TWINSPAN分类和DCCA排序。结果表明:(1)研究区34个样地共记录维管束植物297种,隶属于77科178属,其中被子植物72科,裸子植物2科,蕨类植物3科;分布较广的植物有:松科、壳斗科、蔷薇科、菊科、禾本科和百合科。(2)TWINSPAN聚类结果将样地群落划分为13个群丛,其中以油松+锐齿槲栎为建群种的群丛最多,占总群丛数量40%,是该区主要的松栎混交林群落类型。(3)样地的DCCA排序结果表明,第一轴明显地反映出群落分布沿海拔、坡位的变化,第二轴主要表现出群落分布沿坡向、坡度的变化趋势;其中海拔、坡度与DCCA一、二轴相关系数分别达到最大值(-0.946 2、-0.795 7),是对该群落分布起决定性作用的因子。(4)研究区主要优势物种的DCCA排序与样地的DCCA排序综合反映出该区松栎混交林群落分布的地形梯度。  相似文献   

4.
戴云山黄山松群落与环境的关联   总被引:4,自引:0,他引:4       下载免费PDF全文
基于戴云山黄山松群落类型31个样地(20 m×20 m)野外调查,筛选4个地形因子和11个土壤环境因子,采用除趋势典范对应分析法(DCCA)探讨黄山松群落分布格局与环境之间的关联,定量分析环境因子间相互关系及其对黄山松群落格局的影响。结果表明:(1)DCCA第一排序轴主要反映黄山松群落的海拔变化,第二轴主要反映坡向变化,即沿第二轴从上到下,坡向越朝向阳坡,黄山松群落分布越明显。(2)DCCA表明第一轴与海拔的相关系数达0.5570,即海拔是黄山松群落分布起着决定性作用的环境因子,呈现海拔越高,黄山松优势种群越显著,在海拔1400-1600 m表现突出。(3)黄山松群落主要物种在DCCA排序图的相对位置,反映坡向、坡位、有机质、人为干扰因素是影响黄山松群落分布的重要因素。(4)DCCA排序图中黄山松群落种类排序轴与环境排序轴的相关系数高于DCA,且消除CCA的 "弓形效应",更能凸显海拔、有机质等环境因子对黄山松群落的影响,即黄山松群落与环境因子之间关联以DCCA排序方法为最佳。  相似文献   

5.
红花尔基地区沙地樟子松群落及其与环境关系研究   总被引:14,自引:1,他引:14  
通过野外调查,采用双向指示种分类(TWINSPAN)和除趋势典范对应分析(DCCA)方法。对内蒙古红花尔基地区沙地樟子松群落进行了分类和排序,并根据DCCA排序结果对樟子松群落和物种空间分布格局及其与环境因子之间关系进行定量分析。结果表明,应用TWINSPAN方法将该区沙地樟子松植被划分为6个类型。DCCA分析表明,海拔高度、地貌类型、群落盖度、土壤总碳含量、土壤总氮含量、乔木胸面积等因子对植物群落和物种分布格局影响明显。在DCCA排序图上,樟子松群落及物种的空间分布呈明显的聚集格局,可划分出不同的类群,并反映与环境因子之间具有密切的关系。对各类环境因子解释植被分布格局的作用进行了定量分解,指出地形因素是解释作用最强的变量,对未能解释部分的原因进行了分析。  相似文献   

6.
于2007年8月,在北京八达岭地区野外实地踏查的基础上,按海拔梯度每升高100 m布设10个典型灌木样地,共40个样地,分别进行灌木群落调查.采用TWINSPAN方法、依据各样地灌木各物种的重要值对研究区灌木群落进行分类,采用DCCA方法对分类结果进行验证,并选取代表地形因素和土壤因素在内的环境因子共16个指标进行相关分析.结果显示:(1)北京八达岭地区灌木群落共划分为10个类型.(2)北京八达岭地区灌木群落与各环境因子之间有较好的独立性,土壤环境因素对灌木空间分布格局影响较大(特征值为0.90);土壤环境因素中,灌木群落格局与土壤容重因子具有极显著的相关性(P<0.01).(3)土壤环境因子对灌木群落格局变异的解释能力达到36%;而单纯由地形环境因子的解释能力只有9%,二者交互解释能力为3%,说明土壤环境因素是影响北京八达岭地区灌木群落格局的主导因素. 研究结果表明,北京八达岭地区灌木群落分布格局与土壤容重和海拔因子间存在极显著相关性.  相似文献   

7.
基于对桂西南喀斯特山地植被的典型群落抽样调查,运用聚类分析和除趋势对应分析(DCA)对样方内胸径≥1.0 cm的木本植物进行数量分类和排序,运用除趋势典范对应分析(DCCA)探讨了土壤肥力及地形因子对木本植物群落空间分布的影响。结果表明:1)聚类分析将森林群落划分为4个类型。2)DCCA第一排序轴突出反映了土壤全氮、碱解氮含量及坡度的变化趋势,第二排序轴主要反映了海拔和全钾的变化趋势,各植物群落类型沿第一排序轴呈有规律的分布。3)在影响植物群落空间格局的因素中,土壤肥力因子对群落格局的解释能力为32.82%,地形因子的解释部分占22.54%,8.98%是土壤与地形因子耦合作用的结果,两者未能解释的部分占53.62%。群落物种多度分布主要受生物之间的相互作用和人为干扰等随机因素所影响。  相似文献   

8.
采用双向指示种分析法(TWINSPAN)和除趋势对应分析(DCA)对弄拉峰丛洼地恢复演替植物群落进行数量分类和排序.TWINSPAN将20个样方分为10个组,根据植被分类的原则划分为10个群丛,论述了各群丛的群落学特征.20个样方的DCA排序结果反映了恢复演替群落与环境梯度的关系,表明影响群丛分布格局的主导生态因子为恢复时间、人为干扰及露石率.DCA排序将53个种分为4个种组,影响峰丛洼地恢复演替群落及其物种分布格局的主导生态因子为恢复时间、岩性和水分等.各物种在排序轴上的位置反映了种组成员的生态适应性及其在群落中的重要性和更新生态位.  相似文献   

9.
基于科尔沁沙地流动沙丘、半固定沙丘、固定沙丘和草地群落类型24个样地的野外调查,选取11个土壤因子,应用除趋势对应分析法(DCA)、典范对应分析法(CCA)和除趋势典范对应分析法(DCCA)分析沙地植物群落分布与环境因子的关系。结果表明:DCA、CCA和DCCA的物种排序第1轴代表的土壤特性梯度一致,其解释总方差超过33%,即土壤碳氮含量、p H、电导率、容重、粘粉粒等共同的梯度决定了群落生境的变化,影响着沙地植物群落类型的分布格局;3种排序法的物种排序第2轴土壤因子的相关性有较大差异,DCA第2轴仅与土壤细沙含量显著正相关,CCA第2轴与土壤碳氮比和细沙含量显著负相关,DCCA第2轴与土壤碳氮比和细沙含量显著正相关,而与粗沙含量显著负相关。Shannon指数和Simpson指数分别与DCA、CCA和DCCA前2个排序轴存在显著二元线性关系,且Shannon指数的拟合程度好于Simpson指数。3种排序分析方法中,CCA物种排序前两轴的累计解释方差(58.6%)高于DCA和DCCA,因此CCA排序法更适合于沙地植被分布格局研究及其环境的解释。  相似文献   

10.
历山自然保护区猪尾沟森林群落植被格局及环境解释   总被引:49,自引:6,他引:43  
张峰  张金屯 《生态学报》2003,23(3):421-427
应用TWINSPAN、DCA和DCCA,从植物种,植物群落与环境的生态关系方面,研究历山自然保护区猪尾沟森林群落的植被分布格局,并给予合理的环境解释。结果如下:(1)采用TWINSPAN数量分类方法,将植被划分为9个群落类型。(2)对于特定的研究区域猪尾沟,制约森林群落类型,植物种分布格局的主要因素是海拔梯度,即水、热两个环境因子。(3)DCCA排序图明显反映出排序轴的生态意义,第一轴基本上突出反映了各植物群落所在环境的海拔梯度,即热量因素,沿第一轴从左到右,海拔逐渐升高,植物群落或植物种对热量要求降低;第二轴主要表现了各植物群落或植物种所在环境的坡度,坡向,即水分和光照因素,沿第二轴从下到上,坡度渐缓,坡向渐向阳。  相似文献   

11.
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.  相似文献   

12.
Zhang X P  Wang M B  She B  Xiao Y 《农业工程》2006,26(3):754-761
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.  相似文献   

13.
植物群落分布格局是环境因子和人类活动共同作用的结果,尤其是海拔梯度被认为是植物群落分布格局的决定性因子,为探求甘肃祁连山国家自然保护区植物群落分布格局与环境因子的关系及其驱动机制,该文在野外调查的基础上,运用数量分类和除趋势典范对应分析(DCCA)排序等方法,探讨了研究区内植物群落特征及其与环境因子的关系。结果表明:(1)88个样方共记录物种85种,隶属30科56属,利用双向指示种分析法(TWINSPAN)将其分为9个植物群落。(2)9个植物群落在DCCA排序图上聚集分布,呈现出较好的环境梯度,其中海拔对植物群落分布格局影响最大,其次为降水、温度、坡度、坡向和土壤腐殖质。(3)影响植物群落空间分布格局的变量中,环境因子占25.24%,空间因子占13.21%,空间因子和环境因子交叉作用占9.03%,群落分布格局未被空间因子和环境因子解释部分占52.52%,这部分主要反映了人类活动对研究区植物群落分布格局的影响。该研究成果对区域内植被的生态恢复和生物多样性的稳定维持具有重要意义。  相似文献   

14.
河北小五台山国家级自然保护区森林群落与环境的关系   总被引:2,自引:0,他引:2  
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。  相似文献   

15.
王永健  陶建平  张炜银  臧润国  丁易  李媛  王微 《生态学报》2006,26(11):3525-3532
通过样带调查和TWINSPAN、DCCA分析,从植物种、植物群落及其多样性与环境关系方面,研究了岷江上游土地岭大熊猫走廊带恢复植被的干扰状况。结果表明:应用TWINSPAN分类,并结合优势种组成、干扰状况分析及DCCA排序,可将植被划分为6个群落类型,同时划分出响应型、迟钝型、中度干扰忍耐型和重度干扰忍耐型4类干扰响应的植物类型。以样方物种和以样方多样性指数的DCCA分析结果基本一致,物种及群落的空间分布呈明显的聚集格局,反映其与环境因子间的密切关系。DCCA排序图上,海拔差、坡形、与公路距离、坡度及道路条数对群落和物种分布有明显的影响,与干扰相关性最大的坡度、样地道路数目、与公路间的距离3个因子反映了植被的干扰梯度。干扰对土地岭恢复植被影响显著,干扰降低了群落的物种多样性,同时阻碍了演替进程。  相似文献   

16.
Wang Y J  Tao J P  Zhang W Y  Zang R G  Ding Y  Li Y  Wang W 《农业工程》2006,26(11):3525-3532
Human activities such as deforestation, cultivation, and overgrazing have contributed to the destruction of forest ecosystems in the upper Minjiang River basin for a long time, which has led to the reduction in forest coverage and biodiversity. On the Giant Panda Corridor of Tudiling in this basin, the effects of the existing disturbance regimes on plant communities after the vegetation restoration in the 1980s were assessed, and the community composition, the species diversity and their relationships with environmental factors significantly associated with the disturbance were analyzed using the transect sampling method, the two-way indicator species analysis (TWINSPAN) and the detrended canonical correspondence analysis (DCCA). The results were as follows: communities could be classified into six types, and species were clustered into four functional groups (responsive to disturbance, retarded disturbance, resistant to intermediate disturbance, and resistant to heavy disturbance) based on both TWINSPAN and DCCA. DCCA with species composition of plots is similar to that with species diversity of plots. The communities were separated into distinct groups along the DCCA axis, and this pattern was significantly correlated with environmental factors. Elevation differences, shape, slope, distance to roads, and the number of paths in the plots had an evident influence on the distribution of the species and communities. Environmental factors including slope, distance to roads, and the number of paths revealed the gradient of disturbance among the communities along the DCCA axis. High disturbance intensity caused significantly lower species diversity and inhibited the regeneration of vegetation compared with the more diverse undisturbed communities. Artificial restoration was more effective than natural restoration in maintaining high species diversity. The process of succession was inhibited in natural restoration because of the failure of tree establishment, growth, and survival during regeneration.  相似文献   

17.
Human activities such as deforestation, cultivation, and overgrazing have contributed to the destruction of forest ecosystems in the upper Minjiang River basin for a long time, which has led to the reduction in forest coverage and biodiversity. On the Giant Panda Corridor of Tudiling in this basin, the effects of the existing disturbance regimes on plant communities after the vegetation restoration in the 1980s were assessed, and the community composition, the species diversity and their relationships with environmental factors significantly associated with the disturbance were analyzed using the transect sampling method, the two-way indicator species analysis (TWINSPAN) and the detrended canonical correspondence analysis (DCCA). The results were as follows: communities could be classified into six types, and species were clustered into four functional groups (responsive to disturbance, retarded disturbance, resistant to intermediate disturbance, and resistant to heavy disturbance) based on both TWINSPAN and DCCA. DCCA with species composition of plots is similar to that with species diversity of plots. The communities were separated into distinct groups along the DCCA axis, and this pattern was significantly correlated with environmental factors. Elevation differences, shape, slope, distance to roads, and the number of paths in the plots had an evident influence on the distribution of the species and communities. Environmental factors including slope, distance to roads, and the number of paths revealed the gradient of disturbance among the communities along the DCCA axis. High disturbance intensity caused significantly lower species diversity and inhibited the regeneration of vegetation compared with the more diverse undisturbed communities. Artificial restoration was more effective than natural restoration in maintaining high species diversity. The process of succession was inhibited in natural restoration because of the failure of tree establishment, growth, and survival during regeneration.  相似文献   

18.
河北省塞罕坝保护区天然植物群落数量分类   总被引:2,自引:1,他引:1  
运用双向指示种(TWINSPAN)和除趋势典范对应分析(DCCA)等方法定量分析了河北省塞罕坝保护区天然植物群落分布与环境因子的关系.结果表明: 塞罕坝保护区天然植物群落可划分为8种类型,即地榆+异穗苔草+金莲花群落、地榆+老芒麦+毛蕊老鹳草群落、披针叶苔草+铁丝草群落、柔毛绣线菊-铁杆蒿群落、山杏+柔毛绣线菊-铁杆蒿+披针叶苔草群落、蒙古栎+硕桦-胡枝子+柔毛绣线菊-披针叶苔草群落、白桦+山杨-毛榛+山刺玫-糙苏+披针叶苔草+唐松草群落、云杉+白桦-山刺玫+河北柳-披针叶苔草+节节草群落;DCCA分析表明,坡位和土壤养分是影响塞罕坝保护区天然植物群落空间分布的主要因子.地形、空间和土壤因子解释了物种格局变异的34.02%,其中,土壤因子占15.67%,地形因子占10.05%,空间因子占6.00%.在各类因子间的交互作用(2.30%)中,土壤和地形因子的交互作用最大(0.93%),土壤、地形和空间因子三者的交互作用最小(0.16%).65.98%未能解释的部分,可能归因于未被选取的因子如种间的协同和竞争作用或者人为干扰.  相似文献   

19.
珠穆朗玛峰国家级自然保护区高山杜鹃群落多样性研究   总被引:1,自引:0,他引:1  
根据野外样方调查数据,采用双向种指示分析(TWINSPAN)和典范对应分析(DCCA),对珠穆朗玛峰国家级自然保护区高山杜鹃灌丛群落进行分类和排序,并分析物种多样性沿海拔梯度分布格局。结果表明:(1)该研究区域38个高山杜鹃样地中,共记载的维管束植物有35科68属135种,出现频度较高的种有高山嵩草(Kobresia pygmaea)、珠芽蓼(Polygonum viviparum)、高山大戟(Euphorbia stracheyi)、髯花杜鹃(Rhododendron anthopogon)、雪层杜鹃(R.nivale)、扫帚岩须(Cassiope fastigiata)、鳞腺杜鹃(R.lepidotum)、木根香青(Anaphalis xylorhiza)、刚毛杜鹃(R.setosum)等。(2)TWINSPAN等级分类将该区域高山杜鹃灌丛38个样地划分为14个群丛类型。(3)样地DCCA二维排序图结果表明,土壤类型和海拔是影响该区域高山杜鹃灌丛群落分布格局的主要因子。(4)该区域高山杜鹃灌丛群落物种丰富度、Shannon-Wiener指数和Simpson指数与海拔呈显著负相关关系,随着海拔的升高而不断降低;而Pielou指数与海拔之间并无显著相关关系。  相似文献   

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