Group size but not dominance rank predicts the probability of conception in a frugivorous primate

In social mammals, within-group competition for food can drive variation in female fitness. Frugivores may face particularly strong competition because they use patchily distributed usurpable resources. Dominance rank and group size influence how a female experiences within-group competition. Both are predicted to affect access to food and, thus, reproductive success. We used 15 years of behavioral, demographic, and reproductive data from wild frugivorous blue monkeys to examine effects of rank and group size on the probability that a female conceived. We used generalized linear mixed models, controlling for potentially confounding maternal and environmental factors. Blue monkey females compete aggressively and disproportionately for fruits and exhibit linear dominance hierarchies, but neither rank index we tested significantly predicted the probability of conception. Although earlier studies found that group size effects on activity budgets were minimal, we found that group size had a quadratic relationship with the probability of conception, which peaked at around 31 members. The lack of a rank effect may reflect behavioral strategies (e.g., switching resources, spreading out during feeding, using cheek pouches) that minimize the strength of within-group competition, thus facilitating group-level cooperation in between-group contests. The significant quadratic effect of group size on reproduction may occur if individuals in small groups do not obtain the full benefits of group living (e.g., predator avoidance, increased foraging success, communal care for offspring) and those in large groups experience a lower quality diet or constrained feeding time. Ultimately, measures of reproduction are preferable to behavioral proxies for accurately assessing within-group competition.     

The influence of mass transfer on solute transport in column experiments with an aggregated soil

The spreading of concentration fronts in dynamic column experiments conducted with a porous, aggregated soil is analyzed by means of a previously documented transport model (DFPSDM) that accounts for longitudinal dispersion, external mass transfer in the boundary layer surrounding the aggregate particles, and diffusion in the intra-aggregate pores. The data are drawn from a previous report on the transport of tritiated water, chloride, and calcium ion in a column filled with Ione soil having an average aggregate particle diameter of 0.34 cm, at pore water velocities from 3 to 143 cm/h. The parameters for dispersion, external mass transfer, and internal diffusion were predicted for the experimental conditions by means of generalized correlations, independent of the column data. The predicted degree of solute front-spreading agreed well with the experimental observations. Consistent with the aggregate porosity of 45%, the tortuosity factor for internal pore diffusion was approximately equal to 2. Quantitative criteria for the spreading influence of the three mechanisms are evaluated with respect to the column data. Hydrodynamic dispersion is thought to have governed the front shape in the experiments at low velocity, and internal pore diffusion is believed to have dominated at high velocity; the external mass transfer resistance played a minor role under all conditions. A transport model such as DFPSDM is useful for interpreting column data with regard to the mechanisms controlling concentration front dynamics, but care must be exercised to avoid confounding the effects of the relevant processes.     

Comparing petroleum fiscal regimes under oil price uncertainty

This study investigates and compares five upstream petroleum fiscal systems under crude oil price uncertainty. The fiscal systems analyzed are: the Alberta Canada tax and royalty system, the Papua New Guinea (PNG) (pre-2003) traditional Rate of Return (ROR) system, the Sao Tome and Principe/Nigerian Joint Development Zone (SNJDZ) Production Sharing Contract (PSC), the Tanzanian PSC/ROR hybrid system and the Trinidad and Tobago PSC. Contingent claims analysis is used to value the governments’ tax claims under uncertainty using a numerical approach, viz., Monte Carlo simulation. Each system is tested to obtain the after-tax value accruing to firms as well as the distortionary effects introduced by the fiscal systems. The results are then ranked. The Alberta Canada and PNG fiscal systems provide companies with the highest after-tax values while also being the least distortionary. The Tanzanian system is the lowest in both rankings, providing relatively low after-tax values and introducing strong distortionary effects. The SNJDZ PSC imposed a relatively high tax burden on companies with median distortionary effects. The Trinidadian PSC generated a median tax burden on companies but has strong distortionary effects.     

Conducting and delivering integrated research to influence land-use policy: salinity policy in Australia

Researchers can find the process of engaging with policy to be both rewarding and frustrating. In the context of land-use policy, we discuss various aspects of the research-policy nexus, including the various influences of research and policy on land use, the adoption of research results by policy makers, differences between policy and research, and the roles that researchers can play in policy. We present a case study from Australia in which a range of research into land use was integrated to develop an investment framework for policy makers and natural resource managers. We conclude that, to enhance their influence on land-use policy, researchers should strive to: understand the policy maker's perspective, practice excellent communication, be solution oriented, find a champion, avoid appearances of vested interest, and be simple, patient, persistent, resilient, responsive and timely.