Toxicological responses to sublethal anticoagulant rodenticide exposure in free-flying hawks

Environmental Science and Pollution Research - An important component of assessing the hazards of anticoagulant rodenticides to non-target wildlife is observations in exposed free-ranging...     

Egg-mimicry as a mating strategy in the fantail darter,Etheostoma flabellare: females prefer males with eggs

Summary In some species of fishes with paternal care, females prefer to spawn with males already defending eggs. Such female preference appears to have resulted in adoption of unrelated eggs as a male mating strategy in several species. Page and Swofford (1984) proposed that such female preference may have also resulted in the evolution of male egg-mimics in several species of darters (Percidae); however, their hypothesis has not been tested. We examined female preference in the fantail darter (Etheostoma flabellare) and found that females preferred males with eggs over males without eggs, and males with egg-mimics over males without egg-mimics. Thus it appears that female preference for males already guarding eggs may have led to the evolution of specialized egg-mimicking morphology in males.     

Male-male association patterns and female proximity in the guppy,Poecilia reticulata

If males differ in their ability to attract potential mates, and are able to perceive such differences, theory predicts they should distribute themselves in a manner that increases their probability of obtaining potential matings. The relationship between male-male association patterns and the proximity of females in social groups, however, remains virtually unexplored. Experimental analysis of this relationship in the guppy, Poecilia reticulata, demonstrates that in preference tests males showed a strong tendency to associate with other males that were further away from potential mates than they were themselves. Male guppies pursue a behavioral strategy that involves categorizing other males based on their proximity (and possibly relative attractiveness) to females, remembering the identity of such individuals, and using this information when choosing between other males as associates. Such a strategy may increase a male's chances of being the individual chosen by a female assessing nearby males.     

Comparing contaminated property redevelopment for mandatory and Voluntary Cleanup Programs in California

This study uses California data to compare redevelopment for properties subject to mandatory and voluntary cleanup. CalSites are subject to the CERCLA liability approach, while properties in the Voluntary Cleanup Program (VCP) are subject to a risk-based approach (RBA) that allows some contamination to remain for non-residential redevelopment. The expectation is that VCPs will show a greater proportion of industrial redevelopment, which has the least stringent standard, and a smaller proportion of residential redevelopment. The results show an overall trend toward more residential redevelopment of contaminated properties, but consistent with expectations, the trend is weaker for VCP properties than CalSites.     

Achieving Conservation Goals in Managed Forests of the Southeastern Coastal Plain

Managed forests are a primary land use within the Coastal Plain of the southern United States. These forests are generally managed under standards, guidelines, or regulations to conserve ecosystem functions and services. Economic value of commercial forests provides incentives for landowners to maintain forests rather than convert them to other uses that have substantially reduced environmental benefits. In this review, we describe the historical context of commercial forest management in the southern United States Coastal Plain, describe how working forests are managed today, and examine relationships between commercial forest management and maintenance of functional aquatic and wetland systems and conservation of biological diversity. Significant challenges for the region include increasing human population and urbanization and concomitant changes in forest area and structure, invasive species, and increased interest in forest biomass as an energy feedstock. Research needs include better information about management of rare species and communities and quantification of relationships between ecosystem attributes and forest management, including biomass production and harvest. Incentives and better information may help commercial forest managers in the Coastal Plain more efficiently contribute to landscape-scale conservation goals.     

Valuing environmental damage remediation and liability using value estimates for ecosystem services

The European Environmental Liability Directive aims to ensure that damaged habitats are restored where possible, but allows for complementary remediation with replacement habitat where restoration is not possible within a reasonable time. It also allows for compensatory remediation of the resource based on an assessment of environmental values in cases where there are interim social losses. This paper concurs with the argument that physical remediation without consideration of social values can fail to be equivalent to the resource that has been lost. Using, as a case study, a river in Ireland, it demonstrates that estimating social value can be challenging in practice, noting also differences between the value of environmental gains and losses. The paper argues that estimates of final ecosystem service values, including wastewater treatment costs, can provide a measure of social value and makes a case for the systematic collection of these data to inform decision-making.     

A Bayesian approach to retransformation bias in transformed regression

Ecological data analysis often involves fitting linear or nonlinear equations to data after transforming either the response variable, the right side of the equation, or both, so that the standard suite of regression assumptions are more closely met. However, inference is usually done in the natural metric and it is well known that retransforming back to the original metric provides a biased estimator for the mean of the response variable. For the normal linear model, fit under a log-transformation, correction factors are available to reduce this bias, but these factors may not be generally applicable to all model forms or other transformations. We demonstrate that this problem is handled in a straightforward manner using a Bayesian approach, which is general for linear and nonlinear models and other transformations and model error structures. The Bayesian framework provides a predictive distribution for the response variable so that inference can be made at the mean, or over the entire distribution to incorporate the predictive uncertainty.