栲树种群生态位动态研究

用Levins生态位宽度及重叠、Feinsing等生态位宽度和Petraitis生态位重叠计测方法 ,处理缙云山森林群落演替系列取样 ,分析栲树种群的生态位特征及动态 .结果表明 ,栲树种群为缙云山森林群落演替顶极群落常绿阔叶林的优势种群 ,其生态位宽度随群落演替过程基本呈增长趋势 ,而资源利用程度却呈“∧”形 ;对于栲树种群和缙云山森林群落其它 1 4个优势种群间在所有 5类群落中的生态位重叠 ,仅栲树种群与典型针阔混交林中的小叶栲、光叶灰木、川灰木、薯豆、白毛新木姜子、广东山胡椒、大头茶、虎皮楠、杉木、马尾松种群上和针叶林中小叶栲、光叶灰木、杉木种群上 ,表现出显著完全特定重叠 .     

瓦山锥化学成分研究(Ⅰ)

瓦山锥植物富含植物多酚类成分且资源丰富,目前尚无该植物化学成分及生物活性方面的报道。为了明确瓦山锥的物质基础,为该植物资源的合理开发与可持续利用提供科学依据,该研究采用Sephadex LH-20、Diaion HP20SS、Toyopearl HW-40F等多种柱层析方法对瓦山锥树叶乙醇提取物进行分离纯化,从中得到11个单体化合物,它们的结构经波谱数据分析及文献对照鉴定为没食子酸(1)、咖啡酸(2)、1-(3',4'-二羟基肉桂酰)-环戊-2,3-二酚(3)、绿原酸(4)、绿原酸甲酯(5)、kaempferol 3-O-β-D-glucuronopyranoside(6)、kaempferol 3-O-{β-D-xylopyranosyl-(1→2)-[α-L-rhamnopyranosyl-(1→6)]-β-D-glucopyranoside}(7)、quercetin 3-O-β-D-glucuronopyranoside(8)、quercetin 3-O-β-glucuronide-6″-methyl ester(9)、芦丁(10)、quercetin5-O-[α-L-rhamnopyranosyl-(1→6)]-β-D-glucopyranoside(11)。所有化合物均为首次从瓦山锥中分离得到,其中化合物3,7-11为首次从锥属植物中分离得到。     

西南亚热带典型天然常绿阔叶林的空间结构特征

以西南亚热带分布较广泛的两种典型的天然常绿阔叶林——四川大头茶林和栲树林为研究对象,根据树种组成,采用混交度、大小比数和角尺度3个空间结构参数,对比分析2种林分的空间结构特征。结果显示:(1)四川大头茶林和栲树林群落的乔木层分别有8和9个树种,2种林分内的优势种的密度及每公顷断面积优势明显。(2)2种林分的树种混交程度较高,林分平均混交度分别为0.61和0.73,混交程度均在中等以上;栲树林群落的树种隔离程度优于四川大头茶林;林分内的平均大小比数分别为0.47和0.45,多数林木处于中庸状态,林分内不同径级的林木在各组成的空间结构单元内分布比较均匀。(3)四川大头茶林的平均角尺度为0.523,属于聚集分布;栲树林的平均角尺度为0.517,属于随机分布,且呈现轻微的聚集分布。研究表明,两种林分的混交度差异显著,而大小比数和角尺度差异不显著,栲树林较四川大头茶林的群落结构稳定。     

A study on multidimensional time series model of individual age’s measurement in Castanopsis kawakamii population

Studies on disclosing characteristics and endangered mechanisms of Castanopsis kawakamii population ecology have already become an urgent task of protecting C. kawakamii population. The establishment of the standard life table is one of an important work study on C. kawakamii population ecology, and determining individual ages of the plant is necessary for studying age structures and population dynamics of C. kawakamii. There are three main methods of determining individual age of forest population: (1) by annual ring of tree, (2) by individual growth phase, and (3) by DBH and height of tree. However, the three methods have their shortcomings, such as low precision, worse serviceability, high difficulty for operation and so on. In this paper, a new method for determining plant individual ages more accurately is presented on the basis of the method aboU_t “annual ring–time series”. Based on the stem analysis, the multidimensional time series model of diameter growth at breast height in C. kawakamii population was established by U_tilizing the analY_tical method of multidimensional time series: Y_t = 1.325034Y_t-1 ? 0.4711007Y_t-2 ? 284.5648U_t + 569.4783U_t?1 ? 284.8745U_t?2, where Y_t, Y_t-1, Y_t-2 represent diameter growth in C. kawakamii population at t, t ? 10 and t ? 20 years respectively, and U_t, U_t?1, U_t?2 represent individual age in C. kawakamii population at t, t ? 10 and t ? 20 years respectively, the model coefficient correlation is 0.9994. Based on this model CAR(2), the total increment of individual DBH in C. kawakamii population are simulated and regressively verified at different ages. The mean simulating precision of this model was 98.84%, the maximum relative error was 2.56%, bU_t the next was 2.47% and the minimum relative error was 0.07%, showing that this model was suitable for estimating breast-height diameter of C. kawakamii plant. Using the multidimensional time series model, diameter growth of C. kawakamii population for longer time series was estimated in order to gain data for establishing the relationship model of individual age, diameter growth and to increase its precision in determining individual age is by tree ring analysis. A combination method of determining individual age of C. kawakamii population by integrating annual ring data with its diameter using multidimensional time series model, which can improve precision of individual ages in C. kawakami, was produced: A = 9.966671944 + 1.146011591D + 0.041059628D² ? 0.000211907D³, where A and D represent individual age and diameter at breast height respectively in C. kawakamii population, the model coefficient correlation is 0.9998. The combination model, which shows that the regression relationship is significant and the model can exactly predict the individual age of population, is a valuable tool for determining individual ages in endangered plants.     

A study on multidimensional time series model of individual age’s measurement in Castanopsis kawakamii population

Studies on disclosing characteristics and endangered mechanisms of Castanopsis kawakamii population ecology have already become an urgent task of protecting C. kawakamii population. The establishment of the standard life table is one of an important work study on C. kawakamii population ecology, and determining individual ages of the plant is necessary for studying age structures and population dynamics of C. kawakamii. There are three main methods of determining individual age of forest population: (1) by annual ring of tree, (2) by individual growth phase, and (3) by DBH and height of tree. However, the three methods have their shortcomings, such as low precision, worse serviceability, high difficulty for operation and so on. In this paper, a new method for determining plant individual ages more accurately is presented on the basis of the method aboU_t “annual ring–time series”. Based on the stem analysis, the multidimensional time series model of diameter growth at breast height in C. kawakamii population was established by U_tilizing the analY_tical method of multidimensional time series: Y_t = 1.325034Y_t-1 ? 0.4711007Y_t-2 ? 284.5648U_t + 569.4783U_t?1 ? 284.8745U_t?2, where Y_t, Y_t-1, Y_t-2 represent diameter growth in C. kawakamii population at t, t ? 10 and t ? 20 years respectively, and U_t, U_t?1, U_t?2 represent individual age in C. kawakamii population at t, t ? 10 and t ? 20 years respectively, the model coefficient correlation is 0.9994. Based on this model CAR(2), the total increment of individual DBH in C. kawakamii population are simulated and regressively verified at different ages. The mean simulating precision of this model was 98.84%, the maximum relative error was 2.56%, bU_t the next was 2.47% and the minimum relative error was 0.07%, showing that this model was suitable for estimating breast-height diameter of C. kawakamii plant. Using the multidimensional time series model, diameter growth of C. kawakamii population for longer time series was estimated in order to gain data for establishing the relationship model of individual age, diameter growth and to increase its precision in determining individual age is by tree ring analysis. A combination method of determining individual age of C. kawakamii population by integrating annual ring data with its diameter using multidimensional time series model, which can improve precision of individual ages in C. kawakami, was produced: A = 9.966671944 + 1.146011591D + 0.041059628D² ? 0.000211907D³, where A and D represent individual age and diameter at breast height respectively in C. kawakamii population, the model coefficient correlation is 0.9998. The combination model, which shows that the regression relationship is significant and the model can exactly predict the individual age of population, is a valuable tool for determining individual ages in endangered plants.     

三峡库区常绿阔叶林优势种群的结构和格局动态

重庆丰都世坪森林公园的常绿阔叶林是长江三峡库区低海拔区残存的较典型的常绿阔叶林.在此地选择具有代表性群落设立1hm2固定样地,应用相邻格子法进行每木调查,通过乔木层优势种群结构和格局研究,探讨群落的特点和动态.结果表明(1)此群落的优势树种是小红栲(Castanopsis carlesii)、丝栗栲(Castanopsis fargesii)和枫香(Liquidambar formosana).(2)小红栲和丝栗栲种群立木级结构呈不规则金字塔型,幼苗储备丰富,为增长种群,种群从Ⅰ、Ⅱ级幼苗发育到幼树过程中的死亡率较高,中等径级的株数偏少.枫香种群幼苗缺乏,为衰退种群.(3)应用偏离指数、Lloyd的平均拥挤度和聚块性指数及Morisita指数,在10×10m2尺度下对优势种群进行格局分析,发现3种优势种群成树总体上均为集群分布;小红栲和丝栗栲种群在发育过程中分布格局是由集群分布过渡到随机分布,而枫香是由随机分布过渡到集群分布.     

鼎湖山锥栗粗木质残体的分解和元素动态

选取锥栗(Castanopsischinensis)粗木质残体(coarsewoodydebris,CWD)的3个径级(径级1-3分别为5-10cm,10-20cm和20-30cm),并且将每个径级的锥栗粗木质残体分为Ⅰ、Ⅱ、Ⅲ、Ⅳ、Ⅴ5个分解阶段。通过测定锥栗粗木质残体3个径级的Ⅰ-Ⅲ阶段的7种化学元素(C、N、P、K、Ca、Na、Mg)的浓度和CWD密度变化来研究其分解过程中的元素动态、分解速率及其分解过程中基质质量的变化。到分解阶段Ⅲ时,3个径级的重量与原来相比分别损失了36%、48%和43%。元素N、P、Mg、Ca、Na的浓度升高。元素N的累积可能和锥栗粗木质残体中寄生着固氮细菌和真菌有关。元素P、Mg、Ca、Na的浓度升高则可能是由于这4个元素因淋溶流失的速度小于锥栗粗木质残体质量的损失速度,造成元素积聚,元素C、K的浓度降低。N/P比值是较好的分解指示指标。虽然存在元素的净释放,但是由于C和其它主要元素的释放速率较慢,因而锥栗粗木质残体是森林中重要的C库和长期的元素来源。     

刺栲（Castanopsis hystrix）的气体交换和叶绿素a荧光特征

用LI-6400便携式光合测定系统和PAM-2100便携式植物荧光分析仪分别在初夏和秋季测定了广州龙眼洞林场刺栲(Castanopsishystrix)幼树叶片的气体交换和叶绿素a荧光参数。结果表明:1)刺栲冠层阳生叶的光饱和点为400μmolphotonsm-2s-1,最大光合速率在4-6μmolm-2s-1之间,说明刺栲幼树保持阳生植物的特征。阴生叶与阳生叶的叶绿素a/b值相似,均约为2.4,而阴生叶叶绿素b含量高于阳生叶,表明阴生叶具有潜在利用弱光的能力;2)刺栲幼树冠层叶片的PSⅡ的最大光化学效率Fv/Fm和光化学量子产额(Yield)的日动态变化在中午略有下降,说明其在强光下能发生可逆性的光抑制。刺栲冠层阳生叶的最大光合能力比较低,整个冠层叶能高效而稳定地利用散射和透射光,这些特征使得常绿的刺栲幼树能在林边或林下良好生长,较好地适应不同的光环境并成功渡过幼苗期,最终成为群落中的上层优势种。     

杉木和米槠细根混合分解及其养分释放

在福建省建瓯万木林自然保护区,选取针叶树种杉木(Cunninghamia lanceolata,CUL)细根和常绿阔叶树种米槠(Castanopsis carlesii,CAC)细根,采用网袋法进行了为期720d细根(分0-1mm、1-2mm两个径级)单独分解(在各自细根的起源林分)和混合分解(分别在杉木林和米槠林)干重损失及其养分释放动态的研究。结果表明:杉木和米槠细根混合分解前期(0-270d)曾对干重损失起促进作用,而之后(270-720d),细根混合起了抑制作用。分解过程中的养分释放与干重损失有所不同,混合分解前期(0-360d)出现过促进作用,分解后期(360-720d),除1-2mm径级混合细根P的释放既没有促进也没有抑制作用外,均表现为养分释放的抑制作用。细根混合分解过程中干重损失和养分释放速率变化与分解者生物群落有很大关系。     

栲树微卫星分子标记的开发

采用基因组DNA富集法FIASCO对我国典型常绿阔叶林建群种栲树(Castanopsis fargesii Franch.)进行了微卫星分子标记的开发。从栲树基因组中分离和筛选了15个微卫星位点,并对江西九连山栲树自然分布居群的遗传多样性进行了分析。结果表明,栲树具有较高水平的遗传多样性,每个位点在28株栲树个体上的平均等位基因数(A)为6.7(4～8个),平均观察杂合度(HO)为0.690(0.250～1.000),平均预期杂合度(HE)为0.698(0.293～0.867)。每个位点的第一排除概率值Pr(Ex1)为0.043～0.527,位点综合值为0.9972。单个位点的第二排除概率Pr(EX2)为0.159～0.694,位点综合值为0.9999。这些微卫星标记可为研究栲树的遗传多样性及居群遗传结构提供有效的遗传工具。