Progress towards Environmental Justice: A Five-year Perspective of Toxicity,Race and Poverty in Michigan, 1990-1995 1

Much present research on the relationship between socio-economic factors and the siting of sources of environmental pollution has focused primarily on race and income. Using census data, timed-based data from multiple sources of pollution, and rates of cancers and low birth weight in the State of Michigan by zip code, we present a multivariate model that can distinguish the effects of race, income and other land use characteristics on: (1) the location of different sources of pollution; (2) progress toward clean-up of contaminated waste; and (3) how pollution is associated with measures of public health.     

CO2-enrichment and nutrient availability alter ectomycorrhizal fungal communities

Ectomycorrhizal fungi (EMF), a phylogenetically and physiologically diverse guild, form symbiotic associations with many trees and greatly enhance their uptake of nutrients and water. Elevated CO2, which increases plant carbon supply and demand for mineral nutrients, may change the composition of the EMF community, possibly altering nutrient uptake and ultimately forest productivity. To assess CO2 effects on EMF communities, we sampled mycorrhizae from the FACTS-I (Forest-Atmosphere Carbon Transfer and Storage) research site in Duke Forest, Orange County, North Carolina, USA, where Pinus taeda forest plots are maintained at either ambient or elevated CO2 (200 ppm above ambient) concentrations. Mycorrhizae were identified by DNA sequence similarity of the internal transcribed spacer ribosomal RNA gene region. EMF richness was very high; 72 distinct phylotypes were detected from 411 mycorrhizal samples. Overall EMF richness and diversity were not affected by elevated CO2, but increased CO2 concentrations altered the relative abundances of particular EMF taxa colonizing fine roots, increased prevalence of unique EMF species, and led to greater EMF community dissimilarity among individual study plots. Natural variation among plots in mean potential net nitrogen (N) mineralization rates was a key determinant of EMF community structure; increasing net N mineralization rate was negatively correlated with EMF richness and had differential effects on the abundance of particular EMF taxa. Our results predict that, at CO2 concentrations comparable to that predicted for the year 2050, EMF community composition and structure will change, but diversity will be maintained. In contrast, high soil N concentrations can negatively affect EMF diversity; this underscores the importance of considering CO2 effects on forest ecosystems in the context of background soil chemical parameters and other environmental perturbations such as acid deposition or fertilizer runoff.     

The scope and severity of white-nose syndrome on hibernating bats in North America

Assessing the scope and severity of threats is necessary for evaluating impacts on populations to inform conservation planning. Quantitative threat assessment often requires monitoring programs that provide reliable data over relevant spatial and temporal scales, yet such programs can be difficult to justify until there is an apparent stressor. Leveraging efforts of wildlife management agencies to record winter counts of hibernating bats, we collated data for 5 species from over 200 sites across 27 U.S. states and 2 Canadian provinces from 1995 to 2018 to determine the impact of white-nose syndrome (WNS), a deadly disease of hibernating bats. We estimated declines of winter counts of bat colonies at sites where the invasive fungus that causes WNS (Pseudogymnoascus destructans) had been detected to assess the threat impact of WNS. Three species undergoing species status assessment by the U.S. Fish and Wildlife Service (Myotis septentrionalis, Myotis lucifugus, and Perimyotis subflavus) declined by more than 90%, which warrants classifying the severity of the WNS threat as extreme based on criteria used by NatureServe. The scope of the WNS threat as defined by NatureServe criteria was large (36% of Myotis lucifugus range) to pervasive (79% of Myotis septentrionalis range) for these species. Declines for 2 other species (Myotis sodalis and Eptesicus fuscus) were less severe but still qualified as moderate to serious based on NatureServe criteria. Data-sharing across jurisdictions provided a comprehensive evaluation of scope and severity of the threat of WNS and indicated regional differences that can inform response efforts at international, national, and state or provincial jurisdictions. We assessed the threat impact of an emerging infectious disease by uniting monitoring efforts across jurisdictional boundaries and demonstrated the importance of coordinated monitoring programs, such as the North American Bat Monitoring Program (NABat), for data-driven conservation assessments and planning.     

Cosolvency. I. some non‐hydrogen bonding solutes with non‐hydrogen bonding solvents

The solubility data for a series of non‐hydrogen bonding, monosubstituted benzenes in binary mixtures of water and non‐hydrogen bonding cosolvents is presented. Good correlation between log solubility and fraction cosolvent is obtained, therefore the estimation of solubility in mixed solvents by a log‐linear relationship can be attained. Slight positive or negative deviations from predicted solubility values are seen at high volume fractions of cosolvents. These deviations are attributed to the cosolvent‐water interactions.     

How complex do models need to be to predict dispersal of threatened species through matrix habitats?

Persistence of species in fragmented landscapes depends on dispersal among suitable breeding sites, and dispersal is often influenced by the "matrix" habitats that lie between breeding sites. However, measuring effects of different matrix habitats on movement and incorporating those differences into spatially explicit models to predict dispersal is costly in terms of time and financial resources. Hence a key question for conservation managers is: Do more costly, complex movement models yield more accurate dispersal predictions? We compared the abilities of a range of movement models, from simple to complex, to predict the dispersal of an endangered butterfly, the Saint Francis' satyr (Neonympha mitchellii francisci). The value of more complex models differed depending on how value was assessed. Although the most complex model, based on detailed movement behaviors, best predicted observed dispersal rates, it was only slightly better than the simplest model, which was based solely on distance between sites. Consequently, a parsimony approach using information criteria favors the simplest model we examined. However, when we applied the models to a larger landscape that included proposed habitat restoration sites, in which the composition of the matrix was different than the matrix surrounding extant breeding sites, the simplest model failed to identify a potentially important dispersal barrier, open habitat that butterflies rarely enter, which may completely isolate some of the proposed restoration sites from other breeding sites. Finally, we found that, although the gain in predicting dispersal with increasing model complexity was small, so was the increase in financial cost. Furthermore, a greater fit continued to accrue with greater financial cost, and more complex models made substantially different predictions than simple models when applied to a novel landscape in which butterflies are to be reintroduced to bolster their populations. This suggests that more complex models might be justifiable on financial grounds. Our results caution against a pure parsimony approach to deciding how complex movement models need to be to accurately predict dispersal through the matrix, especially if the models are to be applied to novel or modified landscapes.     

Active density-dependent habitat selection in a controlled population of small mammals

Density-dependent habitat selection has numerous and far-reaching implications to population dynamics and evolutionary processes. Although several studies suggest that organisms choose and occupy high-quality habitats over poorer ones, definitive experiments demonstrating active selection, by the same individuals at the appropriate population scale, are lacking. We conducted a reciprocal food supplementation experiment to assess whether voles would first occupy a habitat receiving extra food, then change their preference to track food supplements moved to another habitat. Meadow voles, as predicted, were more abundant in food-supplemented habitat than in others. Density declined when food supplements ceased because the voles moved to the new habitat receiving extra food. Although males and females appeared to follow different strategies, meadow-vole densities reflected habitat quality because voles actively selected the best habitat available. It is thus clear that behavioral decisions on habitat use can motivate patterns of abundance, frequency, and gene flow that have widespread effects on subsequent evolution.     

Measuring mucus thickness in reef corals using a technique devised for vertebrate applications

A method previously used to measure thickness of the surface mucus layer (SML) of the mammalian gastrointestinal tract has been applied to the SML of reef corals. It involves manual measurement of mucus thickness using a micromanipulator and fine glass needle (micropipette) and is non-destructive to the coral, meaning that repeated measurements can be taken. A measurable mucus layer was recorded in all cases in the study, which comprised 450 individual thickness measurements from four coral species. Mucus thickness ranged from 145 to 700 μm. Thus, whatever dynamic processes control mucus synthesis, secretion to the tissue surface and subsequent release into the water column, a continuous mucosal barrier is maintained. A change in SML thickness was recorded as a response to aerial exposure during the natural tidal cycle and to solar exposure-induced bleaching, although the response due to bleaching varied between two studied species. The technique is rapid, cost-effective and a simple means of assessing coral SML thickness, a variable that shows significant variation in relation to environmental conditions and is likely to be an important health indicator in these organisms.