Species traits as predictors of lepidopteran composition in restored and remnant tallgrass prairies.

Restoration ecologists are increasingly turning to the development of trait-filter models, which predict how evolved traits limit species membership within assemblages depending on existing abiotic or biotic constraints, as a tool to explain how species move from a regional species pool into a restored community. Two often untested assumptions of these models, however, are that species traits can reliably predict species' broadscale distribution and that the effects of traits on community membership do not vary between restored and remnant habitats. The goals of this study were to determine whether combinations of ecological traits predispose moth species toward recolonization of restored prairies and to assess the degree to which restored prairies contain moth assemblages comparable with prairie remnants. In 2004, we collected 259 moth species from 13 tallgrass prairie remnants and restorations in central Iowa. Principal components analysis (PCA) was used to identify significant combinations of ecological traits that were shared by groups of moth species. Logistic regression was then employed to test for significant effects of the trait combinations on the frequency of prairie sites occupied by moth species. PCA partitioned moth traits into four axes that explained a total of 81.6% of the variance. Logistic regression detected significant effects for all four PCA axes on the fraction of sites occupied by moths. Species frequently filtered from the regional species pool into prairies were those that had long flight periods and were multivoltine, displayed a feeding preference for legumes but not other forb families, and were regionally abundant but relatively small in body size. Ordination revealed significant differences in moth communities among prairies, suggesting that species traits and habitat characteristics likely interact to create observed patterns of species recolonization of restorations. Thus, the optimal approach to restoring the lepidopteran fauna of tallgrass prairies may involve locating prairie plantings adjacent to habitat remnants.     

Sustainable economic development and environmental auditing: a local authority perspective

This paper appraises the concept of environmental auditing in respect of the principles of sustainable economic development, and the options available to local authorities for positive action. Humberside County Council's various environmental initiatives are reviewed as a case study. Particular attention is given to progress with implementation, and the integration of economic development and environmental issues.     

Utilization of nanoscale zero‐valent iron for source remediation—A case study

A pilot‐scale study was performed using a palladium‐catalyzed and polymer‐coated nanoscale zero‐valent iron (ZVI) particle suspension at the Naval Air Station in Jacksonville, Florida. A total of 300 pounds of nanoscale ZVI particle suspension was injected via a gravity feed and recirculated through a source area containing chlorinated volatile organic compounds (VOCs). The recirculation created favorable mixing and distribution of the iron suspension and enhanced the mass transfer of sorbed and nonaqueous constituents into the aqueous phase, where the contaminants could be reduced. Between 65 and 99 percent aqueous‐phase VOC concentration reduction occurred, due to abiotic degradation, within five weeks of the injection. The rapid abiotic degradation processes then yielded to slower biological degradation as subsequent decreases in ‐elimination parameters were observed—yet favorable redox conditions were maintained as a result of the ZVI treatment. Post‐treatment analyses revealed cumulative reduction of soil contaminant concentrations between 8 and 92 percent. Aqueous‐phase VOC concentrations in wells side gradient and downgradient of the source were reduced up to 99 percent and were near or below applicable regulatory criteria. These reductions, coupled with the generation of innocuous by‐products, indicate that nanoscale ZVI effectively degraded contamination and reduced the mass flux from the source, a critical metric identified for source treatment. A summary of this project was recently presented at the US EPA Workshop on Nanotechnology for Site Remediation in Washington, D.C., on October 21–22, 2005. This case study supplied evidence that nanoscale zero valent iron, an emerging remediation technology, has been implemented successfully in the field. More information about this workshop and this presentation can be found at www.frtr.gov/nano/index.htm. © 2006 Wiley Periodicals, Inc.     

Practical life cycle assessment through streamlining

Life cycle assessment (LCA) provides a concept, framework, and method to identify and evaluate the environmental burdens of products and processes. An ongoing concern of companies trying to implement LCA is the value of LCA in supporting actual decisions versus the resources and time needed to conduct a “full” LCA. In response to these concerns, there has been a lot of activity surrounding the “streamlining” of LCA to keep it more manageable yet provide useful and acceptably accurate results. This article explores the concept of streamlining, discusses where and how streamlining decisions can be made in an LCA, and presents issues related to conducting more streamlined LCAs. Due to the wide variety of purposes and scenarios in which LCAs are conducted, it is difficult to devise a one-size-fits-all method for streamlining. Instead, we have focused on presenting the streamlining options in the context of major decision points that are common to most LCAs.     

THE Clean Development Mechanism: Making it Operational

The Clean Development Mechanism (CDM) is a facility for trading `certified emission reductions (CERs) between developing and developed countries, thus saving non-renewable carbon emissions by promoting renewable energy, energy efficiency and/or carbon sequestration projects in LDC's. The purpose of the CDM is to help these latter countries meet their obligations under the Kyoto Protocol while at the same time promoting “sustainable” development in the former countries, thereby reducing the build-up of greenhouse gases (GHG). This paper examines the progress in achieving a workable CDM in time for the first commitment period (2008–2012), and the kinds of initiatives that can be pursued in the agricultural, land-use and forestry sector in tropical countries. The critical element for the success of the CDM is the participation of a broad cross-section of buyers (ultimately from developed countries) and sellers (from developing countries) of CERs. Trading is the final step, which starts with project formulation, through successful implementation and then certification. This paper lays out a market-based framework for promoting CDM transactions between private sector project developers and traders and public sector policy makers, with regulators, governed by CDM rules, overseeing the smooth running of the CDM. However, as there are numerous players; it is proposed that trial CDM projects be demonstrated with the support of National/International bodies to iron out the problems and come up with practical solutions so that carbon trading can become a reality. Most rules for the CDM were clarified at the 7th Conference of Parties (CP) in October/November of 2001 in Marrakesh. An executive Board (EB) was appointed and this EB is in charge of proposing workable ground rules to promote the CDM. These have to be submitted for approval by the 8th CP in late 2002. Three broad kinds of projects qualify for the CDM, these are: renewable energy projects that will be alternatives to fossil fuel projects; sequestration projects that offset GHG emissions; and energy efficient projects that will decrease the emissions of GHG. It is possible to have a combination of these initiatives. A fourth type covering GHG reduction is omitted. As elaborated in the text, in order to qualify for the CDM, the proposed projects may have to have additional costs when compared to the alternative(s). Two time frames have been agreed for CDM projects to qualify for the first commitment period, namely 7 years (with an option of two 7-year renewals) and 10 years. Also, for land-use, land-use change and forestry projects only afforestation/reforestation initiatives are recognized as being permissible for the first commitment period. These rules seem rather shortsighted, as forestry and/or renewable energy projects usually require more than 21 years to be fully effective. Also, the major cause of deforestation is clearing land for agriculture, not harvesting wood. Therefore, improving agricultural productivity may be the best way to reduce deforestation and its subsequent release of GHGs. These conditionalities should be re-examined when rules for the second commitment period are decided. However, various agricultural and land-use projects are discussed under the existing guidelines which could qualify as CDM projects in the first period.     

Methodology for consequence analysis of LNG releases at deepwater port facilities

A methodology to perform consequence analysis associated with liquefied natural gas (LNG) for a deepwater port (DWP) facility has been presented. Analytical models used to describe the unconfined spill dynamics of LNG are discussed. How to determine the thermal hazard associated with a potential pool fire involving spilled LNG is also presented. Another hazard associated with potential releases of LNG is the dispersion of the LNG vapor. An approach using computational fluid dynamics tools (CFD) is presented. The CFD dispersion methodology is benchmarked against available test data. Using the proposed analysis approach provides estimates of hazard zones associated with newly proposed LNG deepwater ports and their potential impact to the public.     

Evaluating long-term trends in littoral benthic macroinvertebrate communities of lakes recovering from acid deposition

The Mann–Kendall test has been proposed as a nonparametric method to evaluate trends in long-term water quality datasets with missing values, serial correlation, and non-normality. However, this test has rarely been used to evaluate long-term trends in biological data. In this study, we used the Mann–Kendall test to evaluate trends in 15?years of data on benthic macroinvertebrate communities from 17 Precambrian Shield lakes. We also used the van Belle and Hughes test of trend homogeneity to assess whether common among-lake temporal trends existed. We assumed that evidence of a common regional trend among lakes would support the hypothesis of long-term biological recovery from past acidification. We found decreasing proportions of Chironomidae and increasing proportions of Ephemeroptera, Plecoptera, and Trichoptera (EPT) in both single-lake and multi-lake trend analysis. Moreover, six of the nine lakes with significant trends in more than one benthos metric displayed a significant decrease in Chironomidae and increase in EPT concurrently, indicating a shift towards more acid-sensitive taxa. Weak trends in several of the biological metrics indicated that recovery in these lakes has been impeded. Results of this study indicate that the Mann–Kendall and van Belle and Hughes trend tests are useful statistical tools to evaluate long-term patterns in biological data.     

Assessing model structure uncertainty through an analysis of system feedback and Bayesian networks.

Ecological predictions and management strategies are sensitive to variability in model parameters as well as uncertainty in model structure. Systematic analysis of the effect of alternative model structures, however, is often beyond the resources typically available to ecologists, ecological risk practitioners, and natural resource managers. Many of these practitioners are also using Bayesian belief networks based on expert opinion to fill gaps in empirical information. The practical application of this approach can be limited by the need to populate large conditional probability tables and the complexity associated with ecological feedback cycles. In this paper, we describe a modeling approach that helps solve these problems by embedding a qualitative analysis of sign directed graphs into the probabilistic framework of a Bayesian belief network. Our approach incorporates the effects of feedback on the model's response to a sustained change in one or more of its parameters, provides an efficient means to explore the effect of alternative model structures, mitigates the cognitive bias in expert opinion, and is amenable to stakeholder input. We demonstrate our approach by examining two published case studies: a host-parasitoid community centered on a nonnative, agricultural pest of citrus cultivars and the response of an experimental lake mesocosm to nutrient input. Observations drawn from these case studies are used to diagnose alternative model structures and to predict the system's response following management intervention.     

Bioconcentration of nonylphenol in fathead minnows (Pimephales promelas)

Bioconcentration of p-nonylphenol (NP) by fathead minnows was determined under laboratory conditions. Fish were exposed continuously for 42 days to 0.33, 0.93 and 2.36 μgNP/l in a flow-through system. NP was Soxhlet extracted from whole fish homogenates with dichloromethane (DCM). The resulting extract was concentrated and bulk lipids removed by gel permeation and silica-gel chromatography. Compounds were identified and quantified by reverse-phase high-pressure liquid chromatography (RP-HPLC) with fluorescence detection. Mass spectrometry was used for verification of peak assignments. Bioconcentration factors (BCFs) ranged from 245 to 380.