天童国家森林公园植被碳储量估算

以典型木荷-栲树群落、含苦槠的木荷-栲树群落、含杨梅叶蚊母树的木荷-栲树群落、披针叶茴香-南酸枣群落、枫香-马尾松群落、黄毛耳草-毛竹群落6种群落类型样地实测数据为基础,结合文献资料汇总,采用生物量相对生长方程法,研究了天童国家森林公园森林生态系统的植被碳储量、碳密度及其组分和空间分布特征.结果表明：野外调查的6种群落类型中,含苦槠的木荷-栲树群落碳储量（12113.92 Mg C）和碳密度（165.03 Mg C·hm^-2）均最高,披针叶茴香 南酸枣群落碳储量最低（680.95 Mg C）,其碳密度为101.26 Mg C·hm^-2.各群落类型中,常绿树种的碳储量均显著高于落叶树种,其碳密度范围分别为76.08～144.95和0.16～20.62 Mg C·hm^-2.各群落类型的乔木层各组分中,植株干的碳储量均最高.各林分类型中,常绿阔叶林碳储量最高,为23092.39 Mg C,占天童林区森林生态系统碳储量的81.7%,碳密度为126.17 Mg C·hm^-2.天童国家森林公园植被总碳储量为28254.22 Mg C,碳密度为96.73 Mg C·hm^-2.     

Path analysis of natural selection via survival and fecundity across contrasting environments in Avena barbata

We employed path analysis to analyse natural selection through two major fitness components in each of three contrasting environments. Using a randomized block design, 188 Recombinant Inbred Lines (RILs) derived from a cross between contrasting ecotypes of Avena barbata were planted in common gardens in the greenhouse, and in two field sites typical of each ecotype’s native habitat. Individuals were monitored for germination phenology, early growth, survival, final size, flowering phenology, reproductive allocation, fecundity and lifetime reproductive success. The variance/covariance matrix of the RIL (genotype) means was fit to a path model in which total fitness was made up of survival and fecundity (of survivors) components. In the greenhouse, all fitness variation was determined by fecundity variation (with no mortality), which was itself primarily determined by reproductive allocation mediated by date of first flowering. By contrast, in the field, early growth was the major determinant of survival, and final size was the major determinant of fecundity. Both components of fitness affected lifetime reproductive success equally in the field. Thus the major difference between greenhouse and field seems to be a shift from selection on allocation patterns in adults, to selection on resource acquisition, especially at earlier life stages. The pattern of selection was similar in the two field sites, despite the contrasting environments.     

The geometry and motion of reaction-diffusion waves on closed two-dimensional manifolds

Chemical or biological systems modelled by reaction diffusion (R.D.) equations which support simple one-dimensional travelling waves (oscillatory or otherwise) may be expected to produce intricate two or three-dimensional spatial patterns, either stationary or subject to certain motion. Such structures have been observed experimentally. Asymptotic considerations applied to a general class of such systems lead to fundamental restrictions on the existence and geometrical form of possible structures. As a consequence of the geometrical setting, it is a straightforward matter to consider the propagation of waves on closed two-dimensional manifolds. We derive a fundamental equation for R.D. wave propagation on surfaces and discuss its significance. We consider the existence and propagation of rotationally symmetric and double spiral waves on the sphere and on the torus. On leave of absence from: Department of Mathematics, Glasgow College of Technology, Cowcaddens Road, Glasgow G4 0BA, Scotland, UK     

Robustness of Generalized Estimating Equation (GEE) Tests of Significance against Misspecification of the Error Structure Model

Generalized linear model analyses of repeated measurements typically rely on simplifying mathematical models of the error covariance structure for testing the significance of differences in patterns of change across time. The robustness of the tests of significance depends, not only on the degree of agreement between the specified mathematical model and the actual population data structure, but also on the precision and robustness of the computational criteria for fitting the specified covariance structure to the data. Generalized estimating equation (GEE) solutions utilizing the robust empirical sandwich estimator for modeling of the error structure were compared with general linear mixed model (GLMM) solutions that utilized the commonly employed restricted maximum likelihood (REML) procedure. Under the conditions considered, the GEE and GLMM procedures were identical in assuming that the data are normally distributed and that the variance‐covariance structure of the data is the one specified by the user. The question addressed in this article concerns relative sensitivity of tests of significance for treatment effects to varying degrees of misspecification of the error covariance structure model when fitted by the alternative procedures. Simulated data that were subjected to monte carlo evaluation of actual Type I error and power of tests of the equal slopes hypothesis conformed to assumptions of ordinary linear model ANOVA for repeated measures except for autoregressive covariance structures and missing data due to dropouts. The actual within‐groups correlation structures of the simulated repeated measurements ranged from AR(1) to compound symmetry in graded steps, whereas the GEE and GLMM formulations restricted the respective error structure models to be either AR(1), compound symmetry (CS), or unstructured (UN). The GEE‐based tests utilizing empirical sandwich estimator criteria were documented to be relatively insensitive to misspecification of the covariance structure models, whereas GLMM tests which relied on restricted maximum likelihood (REML) were highly sensitive to relatively modest misspecification of the error correlation structure even though normality, variance homogeneity, and linearity were not an issue in the simulated data.Goodness‐of‐fit statistics were of little utility in identifying cases in which relatively minor misspecification of the GLMM error structure model resulted in inadequate alpha protection for tests of the equal slopes hypothesis. Both GEE and GLMM formulations that relied on unstructured (UN) error model specification produced nonconservative results regardless of the actual correlation structure of the repeated measurements. A random coefficients model produced robust tests with competitive power across all conditions examined. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)     

Biodiversity mediates top–down control in eelgrass ecosystems: a global comparative‐experimental approach

Nutrient pollution and reduced grazing each can stimulate algal blooms as shown by numerous experiments. But because experiments rarely incorporate natural variation in environmental factors and biodiversity, conditions determining the relative strength of bottom–up and top–down forcing remain unresolved. We factorially added nutrients and reduced grazing at 15 sites across the range of the marine foundation species eelgrass (Zostera marina) to quantify how top–down and bottom–up control interact with natural gradients in biodiversity and environmental forcing. Experiments confirmed modest top–down control of algae, whereas fertilisation had no general effect. Unexpectedly, grazer and algal biomass were better predicted by cross‐site variation in grazer and eelgrass diversity than by global environmental gradients. Moreover, these large‐scale patterns corresponded strikingly with prior small‐scale experiments. Our results link global and local evidence that biodiversity and top–down control strongly influence functioning of threatened seagrass ecosystems, and suggest that biodiversity is comparably important to global change stressors.     

Forest tree growth response to hydroclimate variability in the southern Appalachians

Climate change will affect tree species growth and distribution; however, under the same climatic conditions species may differ in their response according to site conditions. We evaluated the climate‐driven patterns of growth for six dominant deciduous tree species in the southern Appalachians. We categorized species into two functional groups based on their stomatal regulation and xylem architecture: isohydric, diffuse porous and anisohydric, ring porous. We hypothesized that within the same climatic regime: (i) species‐specific differences in growth will be conditional on topographically mediated soil moisture availability; (ii) in extreme drought years, functional groups will have markedly different growth responses; and (iii) multiple hydroclimate variables will have direct and indirect effects on growth for each functional group. We used standardized tree‐ring chronologies to examine growth of diffuse‐porous (Acer, Liriodendron, and Betula) and ring‐porous (Quercus) species vs. on‐site climatic data from 1935 to 2003. Quercus species growing on upslope sites had higher basal area increment (BAI) than Quercus species growing on mesic, cove sites; whereas, Acer and Liriodendron had lower BAI on upslope compared to cove sites. Diffuse‐porous species were more sensitive to climate than ring porous, especially during extreme drought years. Across functional groups, radial growth was more sensitive to precipitation distribution, such as small storms and dry spell length (DSL), rather than the total amount of precipitation. Based on structural equation modeling, diffuse‐porous species on upslope sites were the most sensitive to multiple hydroclimate variables (r² = 0.46), while ring‐porous species on upslope sites were the least sensitive (r² = 0.32). Spring precipitation, vapor pressure deficit, and summer storms had direct effects on summer AET/P, and summer AET/P, growing season small storms and DSL partially explained growth. Decreasing numbers of small storms and extending the days between rainfall events will result in significant growth reduction, even in regions with relatively high total annual rainfall.     

Ectomycorrhizal impacts on plant nitrogen nutrition: emerging isotopic patterns,latitudinal variation and hidden mechanisms

Ectomycorrhizal (EcM)‐mediated nitrogen (N) acquisition is one main strategy used by terrestrial plants to facilitate growth. Measurements of natural abundance nitrogen isotope ratios (denoted as δ¹⁵N relative to a standard) increasingly serve as integrative proxies for mycorrhiza‐mediated N acquisition due to biological fractionation processes that alter ¹⁵N:¹⁴N ratios. Current understanding of these processes is based on studies from high‐latitude ecosystems where plant productivity is largely limited by N availability. Much less is known about the cause and utility of ecosystem δ¹⁵N patterns in the tropics. Using structural equation models, model selection and isotope mass balance we assessed relationships among co‐occurring soil, mycorrhizal plants and fungal N pools measured from 40 high‐ and 9 low‐latitude ecosystems. At low latitudes ¹⁵N‐enrichment caused ecosystem components to significantly deviate from those in higher latitudes. Collectively, δ¹⁵N patterns suggested reduced N‐dependency and unique sources of EcM ¹⁵N‐enrichment under conditions of high N availability typical of the tropics. Understanding the role of mycorrhizae in global N cycles will require reevaluation of high‐latitude perspectives on fractionation sources that structure ecosystem δ¹⁵N patterns, as well as better integration of EcM function with biogeochemical theories pertaining to climate‐nutrient cycling relationships.     

Variations in the population structure and ecology of Matteuccia struthiopteris

The aim of the study was to investigate variation in the structure of a population of Matteuccia struthiopteris (L.) Tod. in N–E Poland depending on its location in a river valley and light availability under tree canopies. Ordination statistical methods and structural equation modeling were used to identify ecological relationships in the population. The analysis showed that optimum growth conditions of M. struthiopteris depend on the canopy cover. As the shading increased, the size of trophophyllous leaves and the production of sporophylls decreased. The relationship between the canopy cover and the optimum growth conditions was best expressed by rootstock diameter and, to a lesser extent, by the number and height of trophophylls. An indirect relationship between the number and height of sporophylls and the canopy cover, by rootstock size and trophophyll quantity, was also identified. This relationship may be caused by the predominance of vegetative forms of reproduction. Based on the correlations between the landscape position vs. rootstock diameter and trophophyll height, a difference in the habitat colonization potential of M. struthiopteris could be detected. Three spatial clusters of M. struthiopteris in the river valley were identified: river bank, river terrace, river valley slopes. These relationships and the distribution of other herbaceous plant species occurring at the plots indicate that the distribution pattern of M. struthiopteris in the study area is determined by diverse environmental conditions, however mainly by light conditions.     

航天诱变白桦生长性状分析

对15年生白桦航天搭载家系(HT-1、HT-2、HT-3、HT-4)及地面对照(CK-1、CK-2、CK-3、CK-4)的生长性状进行分析,并利用2年生、5年生及15年生的生长性状拟合生长曲线。结果表明:15年生HT-1和HT-4的树高分别与地面对照家系间差异达到了极显著水平和显著水平。其中,HT-1树高高于地面对照,而HT-4树高则低于地面对照。其余2个航天搭载家系的树高也高于对照家系,但未达到显著水平。随树龄的增长,航天搭载家系与地面对照的部分性状由差异显著变为差异不显著,但整体差异趋势依旧与苗期保持一致。航天搭载白桦家系及地面对照重复力除98-3家系外都属于高重复力水准(>0.5),HT-1树高性状的突变增益最高,为7.31%。以-x+S为标准在HT-1内选择了4株优良单株,最优单株树高比地面对照家系提高了35.29%。通过拟合树高生长曲线预测了树高生长的趋势。