林木分布格局多样性测度方法: 以阔叶红松林为例

林木分布格局是森林结构的重要组成部分, 直接影响森林生态系统的健康与稳定, 维持森林结构多样性被认为是保护生物多样性的最佳途径。本研究探讨了林木分布格局多样性的测度方法, 以期为揭示森林结构多样性提供理论依据。格局多样性研究的关键在于选择合适的生物多样性测度方法和具有分布属性的格局指数。本研究通过统计角尺度分布频率和Voronoi多边形边数分布频率, 运用Simpson指数分别计算角尺度多样性和Voronoi多边形边数分布多样性, 作为表达林木分布格局多样性指数的方法, 并以我国东北吉林蛟河的3个100 m × 100 m的阔叶红松(Pinus koreansis)林长期定位监测标准地为例, 分析了林木分布格局的多样性。结果表明: 无论是角尺度分布还是Voronoi多边形的边数分布都接近正态分布, 角尺度分布中随机分布林木的频数最多, 占55%以上; Voronoi多边形的类型多达10个以上, 50%以上的林木有5-6株最近相邻木。利用Simpson指数衡量林木格局多样性, 角尺度分布与Voronoi多边形的边数分布都显示出聚集分布的林分比随机分布林分的格局多样性高。研究还发现, 两种格局判定方法得出的Simpson指数值有所不同, 角尺度分布的多样性数值明显低于Voronoi多边形的边数分布的多样性数值, 主要原因是二者的等级数量不同。可见, 林木分布格局多样性研究应选择具有分布属性的格局指数, 但由于各指数反映的角度不同, 所以在分析比较不同林分格局多样性时应采用相同的分析方法。     

Measuring and comparing the accuracy of species distribution models with presence–absence data

Species distribution models have been widely used to predict species distributions for various purposes, including conservation planning, and climate change impact assessment. The success of these applications relies heavily on the accuracy of the models. Various measures have been proposed to assess the accuracy of the models. Rigorous statistical analysis should be incorporated in model accuracy assessment. However, since relevant information about the statistical properties of accuracy measures is scattered across various disciplines, ecologists find it difficult to select the most appropriate ones for their research. In this paper, we review accuracy measures that are currently used in species distribution modelling (SDM), and introduce additional metrics that have potential applications in SDM. For the commonly used measures (which are also intensively studied by statisticians), including overall accuracy, sensitivity, specificity, kappa, and area and partial area under the ROC curves, promising methods to construct confidence intervals and statistically compare the accuracy between two models are given. For other accuracy measures, methods to estimate standard errors are given, which can be used to construct approximate confidence intervals. We also suggest that as general tools, computer‐intensive methods, especially bootstrap and randomization methods can be used in constructing confidence intervals and statistical tests if suitable analytic methods cannot be found. Usually, these computer‐intensive methods provide robust results.     

Measuring size distribution in highly heterogeneous systems with fluorescence correlation spectroscopy

Fluorescence correlation spectroscopy (FCS) is a sensitive and widely used technique for measuring diffusion. FCS data are conventionally modeled with a finite number of diffusing components and fit with a least-square fitting algorithm. This approach is inadequate for analyzing data obtained from highly heterogeneous systems. We introduce a Maximum Entropy Method based fitting routine (MEMFCS) that analyzes FCS data in terms of a quasicontinuous distribution of diffusing components, and also guarantees a maximally wide distribution that is consistent with the data. We verify that for a homogeneous specimen (green fluorescent protein in dilute aqueous solution), both MEMFCS and conventional fitting yield similar results. Further, we incorporate an appropriate goodness of fit criterion in MEMFCS. We show that for errors estimated from a large number of repeated measurements, the reduced chi(2) value in MEMFCS analysis does approach unity. We find that the theoretical prediction for errors in FCS experiments overestimates the actual error, but can be empirically modified to serve as a guide for estimating the goodness of the fit where reliable error estimates are unavailable. Finally, we compare the performance of MEMFCS with that of a conventional fitting routine for analyzing simulated data describing a highly heterogeneous distribution containing 41 diffusing species. Both methods fit the data well. However, the conventional fit fails to reproduce the essential features of the input distribution, whereas MEMFCS yields a distribution close to the actual input.     

Measuring the distribution of plantar pressures during walking in patients with multiple sclerosis to evaluate treatment efficiency

The relationship between the parameters of the distribution of plantar pressure and the state of a patient with multiple sclerosis has been studied with repeated measurements, before and after (or during) treatment. The possibility of using this method for study of walking function impairment in a chronic demyelinating process is considered.     

Measuring the costs of reproduction

The measurement of costs of reproduction is of interest because such costs are generally assumed by life history theory. There is some controversy concerning how to measure costs: common methods include experimental manipulations of life history, such as preventing some individuals from reproducing, or estimates of genetic correlations. These two methods often yield similar results, suggesting that one can serve as a substitute for the other. There are now experiments which demonstrate that there are different mechanisms underlying the response to an experimental manipulation versus a genetic correlation, so the two methods are not equivalent in estimating costs.     

Measuring alignment of the hindfoot

In subtalar arthrodesis operations, correction of the hindfoot alignment is performed in about half of the cases. To improve the quality of the operation, a measurement system was developed which reliably measures the hindfoot angle pre-, per-, and postoperatively. This device was evaluated by measuring subjects in standing weightbearing position and in prone nonweightbearing position. The results were compared with hindfoot angles constructed on posterior photographic images. The results are similar to other studies (all maximum values): intratester accuracy 1.4 degrees, intertester accuracy 2.2 degrees, intratester reliability 0.9, and intertester reliability 0.74. The proposed device will improve the quality of correction, because it enables peroperative measurement of hindfoot alignment.     

Measuring the influence of mycorrhizas

'The view that nutrient acquisition by most plants growing in natural ecosystems is mediated by mycorrhiza-forming symbiotic fungi is now largely accepted' (Read, 2000). Is this bold claim really true for the whole suite of mineral nutrients that plants require? The case is strongest for nutrients that are not very mobile in soil, especially when present in growth-limiting amounts, and phosphate (P) is the classic example. Arbuscular mycorrhizas are by far the most widespread mycorrhizal symbioses, and the ability of arbuscular mycorrhizal (AM) fungi to take up soil nutrients such as P and transfer them to the host plant is an area of intense research. However, there is great variation in the extent to which AM plants benefit in measurable terms from the symbiosis under a given set of environmental conditions, and a paper in this issue, by Koide et al ., addresses this problem (Koide et al ., pp. 163–168). The variability is especially apparent in the field, thus obscuring the possible roles of mycorrhizas in community structure and succession (Fitter, 1985; McGonigle, 1988).     

Measuring the cost of reproduction

Gravid and barren Daphnia pulex were exposed to a variety of predators in laboratory aquaria. Small fish (guppies, sticklebacks and shiner fry) consistently preferred the gravid females, establishing the existence of a behavioural cost of reproduction. However, no such cost was associated with predation by more efficient visual predators (sunfish) or by nonvisual predators (hydras), and the excess of gravid females eaten by backswimmers was found to be attributable to their distribution in the water column. Moreover, the cost associated with predation by small fish was observed only when the Daphnia were presented against a light background, and was abolished when a dark background was substituted. In a further series of experiments with guppies we attempted to show that each egg added to the brood caused a decrease in survival; in two such experiments survival rate was related to body size but not to fecundity, while in a third the effect of body size did not appear, and a negative correlation between survival and fecundity could be demonstrated. Although these experiments unambiguously demonstrate a cost of reproduction they also illustrate the elusiveness of the phenomenom and emphasize the need to develop theories which specify the type and magnitude of costs generated by different ways of life.     

Measuring the cost of reproduction

Summary The timing of the first two broods and the number and size of offspring in each was measured in a series of three experiments for monoclonal cultures of the cladoceran Daphnia pulex reared under standard conditions of ration, temperature and photoperiod. The pattern of total correlations between pairs of life-history variables did not in general support predictions made by hypotheses of reproductive cost. A partial correlation analysis, involving initial size and subsequent growth as well as the life history variables themselves, was performed in an attempt to avoid potential fallacies introduced by the use of total correlations. The only consistent effect found was a positive relationship between the age at reproductive maturity and the mean size of offspring in the first brood. The structure of this segment of the life history is strongly influenced by interactions between size and reproduction, to an extent that precludes the use of simple optimality models.     

Measuring the anorectal angle

Lateral radiographs of the rectum and anus were taken in 90 children with chronic idiopathic constipation. A computer program was developed to obtain an objective quantitative assessment of the anorectal angle; it averaged 120° at rest, decreased during forceful anal contraction and increased during defecation. It was noted that 24% of the children, when asked to defecate, decreased their anorectal angle as normally observed during forceful anal contraction and, that 21% when asked to contract the anus, increased the angle as if they were defecating. This ‘sphincteric disobedience’ is probably of major clinical relevance to an understanding of the symptoms of these patients.     

Measuring the temporal extension of the Now

Anticipatory systems require a model of time which takes account of both successive and simultaneous rhythms. Such a model should also incorporate the fact that both past and future determine the present state of anticipatory systems across multiple scales, from physical to biological and social ones. My Theory of Fractal Time meets these requirements and enables us to compare the Now’s temporal complexity of endo-observer-participants in terms of their boundary complexity.     

Measuring the benefit of habitat selection

We used a behavioral bioassay to estimate the advantages thattwo species of gerbils (Gerbillus allenbyi and G. pyramidum)experienced by preferring a semistabilized dune habitat overa stabilized sand habitat. We used the magnitude of foragingeffort by the gerbils to signal the difference between thetwo habitats. When they were foraging as much in stabilizedsand as in semistabilized dune, we inferred that these habitatswere providing equivalent rewards. We performed a series ofexperiments in two 1-ha field enclosures, each containing similarproportions of stabilized sand and semistabilized dune. Eachenclosure contained a population of only one of the species.By varying the amount of seeds added (either 0.5, 1, 2, or 3g of seeds in 18 seed trays) to each habitat and monitoringthe behavior of the gerbils, we were able to fit a curve thatreflected the change in habitat preference as a function ofseed addition rate. We were also able to show how much seedaddition had to be added to bring the two habitats into equaluse. Each species required only 13 g/ha/night to entirely offsetthe advantage of the semistabilized dune.