Which body condition index is best?

Body condition indices are widely used by ecologists, but many indices are used without empirical validation. To test the validity of a variety of indices, we compared how well a broad range of body condition indices predicted body fat mass, percent body fat and residual fat mass in mice Mus musculus. We also compared the performance of these condition indices with the multiple regression of several morphometric variables on body fat mass, percent body fat and residual fat mass. In our study population, two ratio based condition indices – body mass/body length and log body mass/log body length – predicted body fat mass as well as or better than other ratio and residual indices of condition in females. In males one ratio based condition index (log body mass/log body length) and one residual index (residuals from a regression of pelvic circumference on body length) were best at predicting body fat mass. All indices were better at estimating body fat mass, and residual fat mass than at estimating percent body fat. The predictions of body fat were much better for females than for males. Multiple regressions incorporating pelvic circumference (i.e. girth at the iliac crests) were the best predictors of body fat mass, residual fat mass, and percent body fat, and these multiple regressions were better than any of the condition indices. We recommend 1) that condition be precisely defined, 2) that predictors of condition be empirically validated, 3) that pelvic circumference be considered as a potential predictor of fat content, and 4) that, in general, multiple regression be considered as an alternative to condition indices.     

Which function describes the species–area relationship best? A review and empirical evaluation

Aim The aims of this study are to resolve terminological confusion around different types of species–area relationships (SARs) and their delimitation from species sampling relationships (SSRs), to provide a comprehensive overview of models and analytical methods for SARs, to evaluate these theoretically and empirically, and to suggest a more consistent approach for the treatment of species–area data. Location Curonian Spit in north‐west Russia and archipelagos world‐wide. Methods First, I review various typologies for SARs and SSRs as well as mathematical models, fitting procedures and goodness‐of‐fit measures applied to SARs. This results in a list of 23 function types, which are applicable both for untransformed (S) and for log‐transformed (log S) species richness. Then, example data sets for nested plots in continuous vegetation (n = 14) and islands (n = 6) are fitted to a selection of 12 function types (linear, power, logarithmic, saturation, sigmoid) both for S and for log S. The suitability of these models is assessed with Akaike’s information criterion for S and log S, and with a newly proposed metric that addresses extrapolation capability. Results SARs, which provide species numbers for different areas and have no upper asymptote, must be distinguished from SSRs, which approach the species richness of one single area asymptotically. Among SARs, nested plots in continuous ecosystems, non‐nested plots in continuous ecosystems, and isolates can be distinguished. For the SARs of the empirical data sets, the normal and quadratic power functions as well as two of the sigmoid functions (Lomolino, cumulative beta‐P) generally performed well. The normal power function (fitted for S) was particularly suitable for predicting richness values over ten‐fold increases in area. Linear, logarithmic, convex saturation and logistic functions generally were inappropriate. However, the two sigmoid models produced unstable results with arbitrary parameter estimates, and the quadratic power function resulted in decreasing richness values for large areas. Main conclusions Based on theoretical considerations and empirical results, I suggest that the power law should be used to describe and compare any type of SAR while at the same time testing whether the exponent z changes with spatial scale. In addition, one should be aware that power‐law parameters are significantly influenced by methodology.     

Which is the best anthropometric technique to identify obesity: body mass index, waist circumference or waist-hip ratio?

This study was designed to define the most suitable anthropometric technique among body mass index (BMI), waist circumference (WC) and waist-hip ratio (WHR) as indices of obesity in adult people living in Adana, a Southern province of Turkey. A random sample design was used. A total of 900 individuals (men and non-pregnant women aged 25-65 years) were enrolled in the study. Of subjects, 50.9% were females. Anthropometric measurements were performed. Data were analysed using statistical package program. The prevalence of obesity among adults living in Adana was 20.8% 28.4% when defined using BMI, 30.5% by WC and 15.8% 42.0% by WHR. Truncal obesity and gynoid obesity showed similar prevalence with 26.6%, in the same age group. Waist circumference, BMI and WHR identified different proportions of the population, as measured for obesity prevalence. The most common methods for diagnosing overweight and obesity are based on BMI (kg/m2). However, BMI is suboptimal marker for total body fat percentage and even less suitable to assess body fat distribution. WHR is the most useful measure of obesity and the best simple anthropometric index in predicting a wide range of risk factors and related health conditions.     

Which in vitro models could be best used to study hepatocyte polarity?

The correct functioning of the liver is ensured by the setting and the maintenance of hepatocyte polarity. The complex polarity of the hepatocyte is characterized by the existence of several basolateral and apical poles per cell. Many in vitro models are available for studying hepatocyte polarity, but which are the more suitable? To answer this question, we aimed to identify criteria which determine the typical hepatocyte polarity. Therefore, we compiled a range of protein markers of membrane domains in rat hepatocytes and investigated their involvement in hepatocytic functions. Then, we focused on the relationship between hepatic functions and the cytoskeleton, Golgi apparatus and endoplasmic reticulum. Subsequently, we compared different cell lines expressing hepatocyte polarity. Finally, to demonstrate the usefulness of some of these lines, we presented new data on endoplasmic reticulum organization in relation to polarity.     

Scientific discovery as a combinatorial optimisation problem: How best to navigate the landscape of possible experiments?

A considerable number of areas of bioscience, including gene and drug discovery, metabolic engineering for the biotechnological improvement of organisms, and the processes of natural and directed evolution, are best viewed in terms of a 'landscape' representing a large search space of possible solutions or experiments populated by a considerably smaller number of actual solutions that then emerge. This is what makes these problems 'hard', but as such these are to be seen as combinatorial optimisation problems that are best attacked by heuristic methods known from that field. Such landscapes, which may also represent or include multiple objectives, are effectively modelled in silico, with modern active learning algorithms such as those based on Darwinian evolution providing guidance, using existing knowledge, as to what is the 'best' experiment to do next. An awareness, and the application, of these methods can thereby enhance the scientific discovery process considerably. This analysis fits comfortably with an emerging epistemology that sees scientific reasoning, the search for solutions, and scientific discovery as Bayesian processes.     

Projecting species’ vulnerability to climate change: Which uncertainty sources matter most and extrapolate best?

Species distribution models (SDMs) are commonly used to assess potential climate change impacts on biodiversity, but several critical methodological decisions are often made arbitrarily. We compare variability arising from these decisions to the uncertainty in future climate change itself. We also test whether certain choices offer improved skill for extrapolating to a changed climate and whether internal cross‐validation skill indicates extrapolative skill. We compared projected vulnerability for 29 wetland‐dependent bird species breeding in the climatically dynamic Prairie Pothole Region, USA. For each species we built 1,080 SDMs to represent a unique combination of: future climate, class of climate covariates, collinearity level, and thresholding procedure. We examined the variation in projected vulnerability attributed to each uncertainty source. To assess extrapolation skill under a changed climate, we compared model predictions with observations from historic drought years. Uncertainty in projected vulnerability was substantial, and the largest source was that of future climate change. Large uncertainty was also attributed to climate covariate class with hydrological covariates projecting half the range loss of bioclimatic covariates or other summaries of temperature and precipitation. We found that choices based on performance in cross‐validation improved skill in extrapolation. Qualitative rankings were also highly uncertain. Given uncertainty in projected vulnerability and resulting uncertainty in rankings used for conservation prioritization, a number of considerations appear critical for using bioclimatic SDMs to inform climate change mitigation strategies. Our results emphasize explicitly selecting climate summaries that most closely represent processes likely to underlie ecological response to climate change. For example, hydrological covariates projected substantially reduced vulnerability, highlighting the importance of considering whether water availability may be a more proximal driver than precipitation. However, because cross‐validation results were correlated with extrapolation results, the use of cross‐validation performance metrics to guide modeling choices where knowledge is limited was supported.     

The soundscape of Arctic Charr spawning grounds in lotic and lentic environments: can passive acoustic monitoring be used to detect spawning activities?

The aims of this study were to (i) assess the efficacy of passive acoustic monitoring (PAM) for detecting Arctic Charr at their spawning grounds and (ii) characterize the overall acoustic soundscape of these sites. PAM was carried out over three Arctic Charr spawning grounds in the UK, one lotic and two lentic. 24-h cycles of recordings were collected prior to and during the Arctic Charr spawning season, which was determined from data returns by simultaneous net monitoring. Acoustic analysis consisted of manual quantification of sound sources, Acoustic Complexity Index (ACI) calculation and spectral analysis in 1/3 octave band (SPL; dB re 1 μPa). In the lotic spawning ground, prior to the beginning of Arctic Charr spawning, SPL and ACI showed a restricted range of variation throughout the 24-h, while during spawning the night values of SPL and ACI were found to significantly increase, concurrently with the rate of gravel noise induced by fish spawning activities and fish air passage sounds. Both prior to and during the Arctic Charr run, the lentic soundscape was characterized by diel variation due to the daytime presence of anthropogenic noise and the night-time presence of insect calls, while only a few occurrences of fish air passage sounds and gravel noise were recorded. These findings suggest that PAM over Arctic Charr spawning grounds could provide meaningful information to be used in developing management plans for this threatened species, such as determining the location and time of arrival, diel pattern and length of spawning activities.     

Unemployment rates: an alternative to the Jarman index?

OBJECTIVE--To compare the Jarman index with alternative deprivation measures with regard to its usefulness to district health authorities as an indicator of need at small area level. DESIGN--The Jarman index (UPA (8)), Townsend''s index of material deprivation, the Scottish Development Department''s index, the Department of the Environment''s basic index, and unemployment rates were compared in respect of their correlation with measures of morbidity by electoral ward in a typical English district health authority. Measures of morbidity comprised standardised mortality ratios, admission rates (standardised and non-standardised), and permanent sickness rates. Spearman rank correlation coefficients were calculated for each combination of measures and were then ranked for each of the deprivation indices. SETTING--The 59 electoral wards of the Central Nottinghamshire Health Authority. RESULTS--The Jarman index consistently ranked lower in respect of its correlation with measures of morbidity than did the other deprivation measures. Current unemployment rates correlated well with morbidity measures, in particular with hospital admission rates, with correlations ranging from 0.669 to 0.830 for average and standardised all age admission rates. CONCLUSIONS--The Jarman index seems to be the least appropriate of these indices for health authority use. Unemployment rate merits further consideration as a simple, up to date marker for deprivation and consequent need for health service provision.     

Connecting ORC and heterochromatin: why?

Considerable evidence connects heterochromatin or silenced chromatin with the Origin Recognition Complex (ORC) which is needed for initiation of DNA replication. In this review we consider biological forces that might be served by this connection. The prevailing view in the literature is that ORC recruits heterochromatin. This seems paradoxical because a replication initiator, ORC, would be recruiting factors which seem to oppose replication by forming inaccessible chromatin structures. Here we suggest a different view, that heterochromatin recruits ORC to facilitate replication of hard-to-replicate heterochromatic regions. We consider how existing data can be reconciled with this viewpoint, and we consider the biological predictions that arise from this perspective     

Which evolutionary model best explains the culture of honour?

The culture of honour hypothesis offers a compelling example of how human psychology differentially adapts to pastoral and horticultural environments. However, there is disagreement over whether this pattern is best explained by a memetic, evolutionary psychological, dual inheritance, or niche construction model. I argue that this disagreement stems from two shortcomings: lack of clarity about the theoretical commitments of these models and inadequate comparative data for testing them. To resolve the first problem, I offer a theoretical framework for deriving competing predictions from each of the four models. In particular, this involves a novel interpretation of the difference between dual inheritance theory and cultural niche construction. I then illustrate a strategy for testing their predictions using data from the Human Relations Area File. Empirical results suggest that the aggressive psychological phenotype typically associated with honour culture is more common among pastoral societies than among horticultural societies. Theoretical considerations suggest that this pattern is best explained as a case of cultural niche construction.     

Lemur catta in small forest fragments: Which variables best predict population viability?

Habitat fragmentation is an increasingly serious issue affecting primates in most regions where they are found today. Populations of Lemur catta (ring-tailed lemur) in Madagascar's south-central region are increasingly restricted to small, isolated forest fragments, surrounded by grasslands or small-scale agriculture. Our aim was to evaluate the potential for population viability of L. catta in nine forest fragments of varying sizes (2–46 ha, population range: 6–210 animals) in south-central Madagascar, using a set of comparative, quantitative ecological measures. We used Poisson regression models with a log link function to examine the effects of fragment size, within-fragment food availability, and abundance of matrix resources (food and water sources) on L. catta population sizes and juvenile recruitment. We found a strong association between overall population size and (a) fragment size and (b) abundance of key food resources Melia azedarach and Ficus spp. (per 100 m along transect lines). Juvenile recruitment was also associated with fragment size and abundance of the two above-mentioned food resources. When the largest population, an outlier, was removed from the analysis, again, the model containing fragment size and abundance of M. azedarach and Ficus spp. was the best fitting, but the model that best predicted juvenile recruitment contained only fragment size. While our results are useful for predicting population presence and possible persistence in these fragments, both the potential for male dispersal and the extent of human disturbance within most fragments play crucial roles regarding the likelihood of long-term L. catta survival. While seven of the nine fragments were reasonably protected from human disturbance, only three offered the strong potential for male dispersal, thus the long-term viability of many of these populations is highly uncertain.     

Which measure of drop jump performance best predicts sprinting speed?

The purpose of this study was to evaluate which measure of a drop jump (DJ) has the highest correlation with sprinting speed over 60 m. For use of comparison, maximal leg strengths in a front squat, countermovement jump, and squat jump were also assessed. The subjects in the study were all high-caliber female university rugby players. Subjects did DJs from 0.12, 0.24, 0.36, 0.48, 0.60, 0.72, and 0.84 m. Jump height and reactive strength index (RSI) were calculated at each drop height. Pearson correlations were used to analyze the relationship between the strength and jumping measures with sprinting speed. The DJ height from 0.84 m had the highest negative correlation with 0- to 10-m split (r = -0.66), the 10- to 30-m split (r = -0.86) and 30- to 60-m split (r = -0.86). The use of RSI is questioned as a measurement of DJ performance. It is suggested that maximal height achieved in a DJ is the most important DJ measure. If it is desired to measure ground contact time, then it may be more useful to use a second test where the jump height for the athlete is set by having the athlete jump onto a box or touch a target overhead set at a standard height and measure the ground contact time with a switch mat or force plate.     

Treatment of experimental allergic encephalomyelitis with myelin basic protein: Which route is best?

When myelin basic protein (BP) has been used for the treatment of multiple sclerosis (MS), it has been injected intramuscularly (IM) or subcutaneously (SC). Experimental allergic encephalomyelitis (EAE) is widely used as a model for MS, and the use of BP for MS is based on its efficacy in EAE. The present work shows that BP is more effective in EAE when administered by intravenous (IV) route than by IM or SC routes. These observations may be pertinent to therapeutic trials in MS.Special Issue dedicated to Dr. Elizabeth Roboz-Einstein.     

From spatial form to system and process through pattern making in the landscape: can landscape design contribute to nature restoration?

This study presents a scenario in which recent development of landscape design based on modernism and modernists works is depicted in conjunction with its possible contribution toward nature restoration. Spatial pattern found in modernists works enhanced the designers understanding of landscape pattern underlying the land and environment at an extensive scale. In search of solid ground for pattern making, landscape designers further investigated the environmental system and its structure. A morphological approach employed in the discourse of landscape ecology gives a theoretical foundation to those endeavors. Also, the process through which the environmental system functions and is maintained becomes another potential field of design expression in landscape. Detailed studies of several works and p landscape design projects, which have already indicated a direction of development, will promote a productive and creative co-relationship between landscape design and nature restoration.This revised version was published online in April 2005 with corrections to keywords.