Organochlorine pesticides in elementary school yards along the Texas-Mexico border

A reconnaissance study was undertaken to determine potential contaminant exposures to children through soil from elementary school playgrounds. Soil samples were collected from areas along the Texas-Mexico border, inland areas (soils from elementary school yards in cities/towns within the state of Texas), and three National Parks (one on the border, one in Tennessee, and one in Washington). The present study focused on organochlorine (OC) pesticides as the potential contaminants of concern because of their historical (and possibly current) use, and their importance as persistent organic pollutants (POPs). DDE and heptachlor were the most frequently detected OCs (69 and 63%, respectively), although heptachlor concentrations in soil never exceeded 5 ppb. Relatively higher concentrations of DDE were observed in agricultural areas along the border (50-60 ppb in soils from McAllen, Palmview, and San Benito) than in other soils. However, a school yard in Lubbock, TX had the highest OC concentration observed (70 ppb dieldrin). These results may be due to historical agriculture activity prior to the banning of OC pesticides such as DDT in the early 1970s, as well as the more recent use of DDT in Central and South America for malaria control.     

Externalities,expectations, and pigouvian taxes

This article derives Pigouvian-type corrective measures for reciprocal externalities when non-Nash behavior characterizes the participants. These reciprocal externalities may involve various kinds of environmental pollutants, such as acid rain. A comparison between corrective measures for Nash and non-Nash behavior demonstrates that positive conjectures, regarding the other agent's externality-generating activity, have an expectation-internalizing influence that usually reduces the required corrective measures. Negative conjectures (e.g., free-riding expectations), however, have an expectation-externalizing effect that increases the required corrective measures. The article analyzes both two-person and n-person externalities.     

Evidence for a water-borne cue inducing metamorphosis in the dorid nudibranch mollusc Adalaria proxima (Gastropoda: Nudibranchia)

The dorid nudibranch Adalaria proxima (Alder & Hancock) is a specialist predator of the cheilostome bryozoan Electra pilosa (L.). Natural induction of metamorphosis of the pelagic lecithotrophic larva of A. proxima was assessed in response to solutions from sonicated prey tissue and (live) E. pilosa-conditioned seawater (Electra-CSW). We exploited the tendency of larvae to become entrapped (rafted) at the air-water interface in cultures to examine whether larvae require direct contact with the live prey for metamorphosis to proceed. Larvae metamorphosed when rafted above colonies of live E. pilosa, above plankton mesh bags isolating live E. pilosa, and in choline chloride controls; there was no metamorphosis of larvae that were rafted in filtered seawater controls. Entrapped veliger shells remained rafted throughout the experimental period in all cases. No metamorphosis occurred in treatments containing either the supernatants or pelleted particulates obtained from sonicated colonies of E. pilosa. Both one-colony and three-colony Electra-CSW induced metamorphosis of larvae. These data are at variance with previous results in showing that direct contact with the live prey is not necessary for metamorphosis to proceed. Furthermore, the fact that competent larvae metamorphosed in response to Electra-CSW in the absence of any other cue strongly suggests that the inductive cue is water-borne.     

Human influence on California fire regimes.

Periodic wildfire maintains the integrity and species composition of many ecosystems, including the mediterranean-climate shrublands of California. However, human activities alter natural fire regimes, which can lead to cascading ecological effects. Increased human ignitions at the wildland-urban interface (WUI) have recently gained attention, but fire activity and risk are typically estimated using only biophysical variables. Our goal was to determine how humans influence fire in California and to examine whether this influence was linear, by relating contemporary (2000) and historic (1960-2000) fire data to both human and biophysical variables. Data for the human variables included fine-resolution maps of the WUI produced using housing density and land cover data. Interface WUI, where development abuts wildland vegetation, was differentiated from intermix WUI, where development intermingles with wildland vegetation. Additional explanatory variables included distance to WUI, population density, road density, vegetation type, and ecoregion. All data were summarized at the county level and analyzed using bivariate and multiple regression methods. We found highly significant relationships between humans and fire on the contemporary landscape, and our models explained fire frequency (R2 = 0.72) better than area burned (R2 = 0.50). Population density, intermix WUI, and distance to WUI explained the most variability in fire frequency, suggesting that the spatial pattern of development may be an important variable to consider when estimating fire risk. We found nonlinear effects such that fire frequency and area burned were highest at intermediate levels of human activity, but declined beyond certain thresholds. Human activities also explained change in fire frequency and area burned (1960-2000), but our models had greater explanatory power during the years 1960-1980, when there was more dramatic change in fire frequency. Understanding wildfire as a function of the spatial arrangement of ignitions and fuels on the landscape, in addition to nonlinear relationships, will be important to fire managers and conservation planners because fire risk may be related to specific levels of housing density that can be accounted for in land use planning. With more fires occurring in close proximity to human infrastructure, there may also be devastating ecological impacts if development continues to grow farther into wildland vegetation.     

Modeling and spatially distributing forest net primary production at the regional scale

Forest, agricultural, rangeland, wetland, and urban landscapes have different rates of carbon sequestration and total carbon sequestration potential under alternative management options. Changes in the proportion and spatial distribution of land use could enhance or degrade that area's ability to sequester carbon in terrestrial ecosystems. As the ecosystems within a landscape change due to natural or anthropogenic processes, they may go from being a carbon sink to a carbon source or vice versa. Satellite image analysis has been tested for timely and accurate measurement of spatially explicit land use change and is well suited for use in inventory and monitoring of terrestrial carbon. The coupling of Landsat Thematic Mapper (TM) data with a physiologically based forest productivity model (PnET-II) and historic climatic data provides an opportunity to enhance field plot-based forest inventory and monitoring methodologies. We use periodic forest inventory data from the U.S. Department of Agriculture (USDA) Forest Service's Forest Inventory and Analysis (FIA) Program to obtain estimates of forest area and type and to generate estimates of carbon storage for evergreen, deciduous, and mixed-forest classes. The area information is used in an accuracy assessment of remotely sensed forest cover at the regional scale. The map display of modeled net primary production (NPP) shows a range of forest carbon storage potentials and their spatial relationship to other landscape features across the southern United States. This methodology addresses the potential for measuring and projecting forest carbon sequestration in the terrestrial biosphere of the southern United States.     

The precautionary principle and environmental persistence: prioritizing the decision-making process

There is continuing activity among regulatory bodies to assess and prioritize chemicals used in commerce based on their potential to be persistent, bioaccumulative, and toxic (PBT). Reliable data needed to perform a PBT hazard or risk assessment, however, may not always be readily available. Consequently concern may arise regarding the potential for false positives and false negatives to be wrongly classified. In order to more effectively classify substances, adequate time is needed to acquire the necessary data to support the overall PBT assessment. Of particular interest is the question of whether or not restrictions on the use and manufacture of a substance can be delayed to allow time to conduct the necessary field and laboratory studies of a particular substance? To address this question it is demonstrated that chemical partitioning property and environmental persistence information can be effectively combined to provide guidance for regulatory priority setting. Specifically, it is argued that substances that have media specific half-life values that exceed the regulatory threshold value for persistence under the EU chemicals REACH program, for example, are more likely to have a ‘legacy’ associated with their use when the log K_OA > 8, and when they are emitted to air or soil. Thus, precautionary actions limiting the use and manufacture of the substance may be warranted. Whereas substances emitted to air with log K_OA < 6 and log K_AW > ?2 are less likely to have a ‘legacy’ associated with their use. Thus precautionary actions in the absence of data may not be warranted.