Distribution of a novel infectious agent in healthy and diseased bicolor damselfish in Florida and the Caribbean

The disease damselfish neurofibromatosis (DNF) affects bicolor damselfish (Stegastes partitus) on reefs in Florida. This disease consists of peripheral nerve sheath and pigment cell tumors that are eventually fatal. The development of DNF is correlated with the appearance of unusual, extrachromosomal DNAs in affected fish that appear to be the genome of an undescribed, virus-like agent. Probes derived from these sequences were used to determine the distribution of this agent in diseased and healthy fish from several reefs in South Florida and from selected locations elsewhere in the range of this species. These analyses demonstrated that naturally diseased fish exhibited high levels of these DNAs in tumors and, to a lesser extent, in unaffected tissues. Fish with experimentally induced DNF exhibited similar levels of this DNA. Healthy adult fish had either no detectable levels of this DNA or very low levels, depending on the sensitivity of the detection technique used. Healthy adults from high disease prevalence reefs were more likely to test positive for this DNA than those from low disease reefs. Juvenile damselfish never contained detectable levels of this agent. Very low levels of this DNA were also detected in healthy fish from the Caribbean and the Bahamas. Dose-response experiments using tumor-derived cell lines indicated that tumor development was directly related to exposure dosages and that very low concentrations of this material did not yield tumor development. Taken together, these data indicate that high levels of this agent were correlated with the appearance of this disease and the very low levels often observed in healthy fish were not a predictor of tumor development.     

Baseline concentrations of trace elements in residential soils from Southeastern Missouri

Anthropogenic sources of pollution can significantly contribute to elevated concentrations of toxic elements in soils. A preliminary survey of trace elements content and their availability in residential soils from New Madrid County, Missouri was undertaken. Mean elemental concentrations (mg kg⁻¹, dry wt) of sixty two soil samples were: As 6.6, Be 0.8, Cd 1.6, Co 9.7, Cr 24.5, Cu 18.1, Fe 9951, Mn 298, Ni 15.6, Pb 48.8, V 42.1, Zn 95.5 and Hg 0.05. The US EPA preliminary remediation goals (PRGs) was only exceeded by As (7 % of samples) and V (8% of samples). The Missouri average background values were exceeded by Pb (69%), Zn (31%), Cu (27%), As (23%), Be (19%), Co (18%), Ni (16%), V (8%) and Mn (2%). Crustal enrichments (EF_c) for As (97), Cr (6), Cu (10), Pb (121), V (7), and Hg (17) were highest for North Lilbourn soils. Fractionation experiment revealed that Fe (54–79%) was in the residual phase while Zn (70–90%), Mn (88–92%), As (59–81%) and Pb (63–79%) were potentially available in soils. Factor loadings of the element concentrations on principal components 1, 2 and 3 accounted for over 81% variance of the data set. The factor loadings suggested that apart from natural contributions of trace elements to the soils, human activities possibly accounted for other inputs in soils.     

Inorganic arsenic levels in rice milk exceed EU and US drinking water standards

Under EU legislation, total arsenic levels in drinking water should not exceed 10 microg l(-1), while in the US this figure is set at 10 microg l(-1) inorganic arsenic. All rice milk samples analysed in a supermarket survey (n = 19) would fail the EU limit with up to 3 times this concentration recorded, while out of the subset that had arsenic species determined (n = 15), 80% had inorganic arsenic levels above 10 microg l(-1), with the remaining 3 samples approaching this value. It is a point for discussion whether rice milk is seen as a water substitute or as a food, there are no EU or US food standards highlighting the disparity between water and food regulations in this respect.     

Empirical Validation of Turbine Engine Exhaust Measurements

The reliability and validity of gas turbine engine exhaust measurements are of concern to all who measure these effluents. In the past, one measure of reliability has been a carbon balance between the fuel used and the C, CO, hydrocarbons, and CO₂ emitted which requires that a F/A ratio be known accurately and that the analyzed sample be representative. In addition to this carbon balance, we have considered the relationships between the concentrations of the several component species. For example, the plot of volume percent of CO₂ versus the volume percent of O₂, both properly corrected to complete combustion, is a straight line. The intercept on the Y-axis (zero oxygen) is a function of the H to C mole ratio in the fuel. This relation has been theoretically established and also established by empirical calculations. For all valid measurements, all points corresponding to CO₂ and O₂ analyses fall on the straight line. In addition, smooth functional relationships exist between other exhaust gas constituents as well, although the form is not a simply derivable linear relationship like that for O₂-CO₂. We have found it useful to employ the following correlations: CO₂ vs. log NO_x, log CO vs. log THC, log CO vs. CO₂, and log THC vs. CO₂- These relationships serve to indicate the probability of reliable data and point out sampling problems and instrument problems such as drift. Subtle changes in engine operation such as opening of the accessory bleed ports in the compressor discharge of the engine can be detected.

The use of a combination of these curves can serve to indicate which measurement is in error. If the O₂-CO₂ relation is linear and the CO-CO₂ relation is smooth, then problems with the total hydrocarbon analyses are indicated when the CO-THC relation is erratic. This would be confirmed by a similar CO₂-THC plot. No useful smooth relationship between smoke density measurements and the other constituents has been found to date. This may indicate poor data, lack of sufficient data, or possibly no correlation.     

Integrating larval connectivity into the marine conservation decision-making process across spatial scales

Larval dispersal connectivity is typically integrated into spatial conservation decisions at regional or national scales, but implementing agencies struggle with translating these methods to local scales. We used larval dispersal connectivity at regional (hundreds of kilometers) and local (tens of kilometers) scales to aid in design of networks of no-take reserves in Southeast Sulawesi, Indonesia. We used Marxan with Connectivity informed by biophysical larval dispersal models and remotely sensed coral reef habitat data to design marine reserve networks for 4 commercially important reef species across the region. We complemented regional spatial prioritization with decision trees that combined network-based connectivity metrics and habitat quality to design reserve boundaries locally. Decision trees were used in consensus-based workshops with stakeholders to qualitatively assess site desirability, and Marxan was used to identify areas for subsequent network expansion. Priority areas for protection and expected benefits differed among species, with little overlap in reserve network solutions. Because reef quality varied considerably across reefs, we suggest reef degradation must inform the interpretation of larval dispersal patterns and the conservation benefits achievable from protecting reefs. Our methods can be readily applied by conservation practitioners, in this region and elsewhere, to integrate connectivity data across multiple spatial scales.     

Comparison of regression coefficient and GIS-based methodologies for regional estimates of forest soil carbon stocks

Estimates of forest soil organic carbon (SOC) have applications in carbon science, soil quality studies, carbon sequestration technologies, and carbon trading. Forest SOC has been modeled using a regression coefficient methodology that applies mean SOC densities (mass/area) to broad forest regions. A higher resolution model is based on an approach that employs a geographic information system (GIS) with soil databases and satellite-derived landcover images. Despite this advancement, the regression approach remains the basis of current state and federal level greenhouse gas inventories. Both approaches are analyzed in detail for Wisconsin forest soils from 1983 to 2001, applying rigorous error-fixing algorithms to soil databases. Resulting SOC stock estimates are 20% larger when determined using the GIS method rather than the regression approach. Average annual rates of increase in SOC stocks are 3.6 and 1.0 million metric tons of carbon per year for the GIS and regression approaches respectively.     

Emergy Analysis of Human Carrying Capacity and Regional Sustainability: an Example Using the State of Maine

The human carrying capacity for a region at a specified standard of living depends on the economic and environmental resources of the region and the exchange of resources across regional boundaries. The length of time that a human population living at a given standard can be sustained depends on the rates of use and renewal of the resource base. All environmental, economic, and social resources are produced as a result of energy transformations; therefore, the energy required for their production can be specified and evaluated in common terms by converting their energy values into emergy. Emergy is defined as the available energy of one kind, previously used up directly and indirectly to make a product or service. Its unit is the emjoule. Emergy values and indices are used to evaluate the resource base for Maine, a politically defined region, and to estimate its human carrying capacity at the 1980 standard of living and for possible future resource bases. Emergy indices for Maine are compared with similar indices for Florida, Texas, and the United States to demonstrate variations in human carrying capacity and sustainability among different regions. The 1980 standard of living for Maine, Florida, Texas, and the Nation as measured by emergy use per person fell within a relatively narrow range of 3.4E16 to 4.3E16 solar emjoules y-1. The human carrying capacity for a region is considered within a pulsing paradigm for sustainability and within the constraints provided by a renewable resource base. For example, in the short-term the developed human carrying capacity for Maine is largely determined by the fuel emergy inflow relative to renewable emergy resources. If purchased emergy inflows relative to Maine's renewable emergy increase to the average ratio for a developed country around 1980, the population living in Maine at 1980 standards could increase to 2.9 million or 2.6 times Maine's 1980 population. In contrast, the human carrying capacity based on Maine's renewable resources alone was 0.37 million people at the 1980 standard of living or 33% of the 1980 population.     

Managing an Endangered Asian Bovid in an Australian National Park: The Role and Limitations of Ecological-Economic Models in Decision-Making

Should north Australia’s extensive populations of feral animals be eradicated for conservation, or exploited as a rare opportunity for Indigenous enterprise in remote regions? We examine options for a herd of banteng, a cattle species endangered in its native Asian range but abundant in Garig Gunak Barlu National Park, an Aboriginal land managed jointly by traditional owners and a conservation agency in the Northern Territory of Australia. We reflect on the paradoxes that arise when trying to deal effectively with such complex and contested issues in natural resource management using decision-support tools (ecological-economic models), by identifying the trade-offs inherent in protecting values whilst also providing incomes for Indigenous landowners.     

Condition of the Mid-Atlantic Estuaries: Production of a State of the Environment Report

The U.S. Environmental Protection Agency has released a report entitled Condition of the Mid-Atlantic Estuaries. That report summarizes the findings of several studies conducted by federal and state agencies and academic institutions in Chesapeake Bay, Delaware Estuary, and the coastal bays of Delaware, Maryland, and Virginia, and simultaneously addresses two distinct audiences: environmental managers and the general public. This paper documents the process of preparing the Estuaries Report, emphasizing the lessons learned in merging information from a wide-variety of sources and in reporting the results to multiple audiences. The major difficulties in preparing the report included: 1) choosing a format and topics that adequately addressed both environmental managers and the public, 2) resolving spatial and temporal disparities in the assembled data sets, and 3) establishing threshold values that distinguished between acceptable and unacceptable conditions in indicators. Our solutions to these challenges and alternatives are discussed. We conclude that a small team of knowledgeable scientists can effectively merge the information of diverse sources into a document that is useful to both environmental managers and the interested public. However, considerable interaction between the team and other scientists was necessary to resolve ambiguities and assure relevancy and accuracy. These findings support the proposition that the vast sources of existing environmental information can be easily and effectively used to assess the ecological condition across large regions.