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Stream macroinvertebrate assemblages are shaped by natural and human‐related factors that operate through complex hierarchical pathways. Quantifying these relationships can provide additional insights into stream ecological assessment. We applied a structural equation modeling framework to evaluate hypothesized pathways by which watershed, riparian, and in‐stream factors affect benthic macroinvertebrate condition in the Western Mountains (WMT) and Xeric (XER) ecoregions in the United States. We developed a conceptual model grounded in theory, empirical evidence, and expert opinion to evaluate the following hypotheses: (1) macroinvertebrate assemblages are primarily driven by proximal, in‐stream factors (e.g., water quality and physical habitat); (2) anthropogenic land uses affect macroinvertebrates indirectly by altering in‐stream characteristics; and (3) riparian vegetation cover attenuates land use effects. We tested our model separately on three measures of benthic macroinvertebrate assemblage condition: ratio of observed‐to‐expected taxonomic richness (O/E); a multimetric index (MMI); and richness of Ephemeroptera, Plecoptera, and Trichoptera taxa (EPT). In the WMT, site‐level riparian cover, in‐stream physical habitat (relative bed stability), and water chemistry (total nitrogen) were the top three predictors of macroinvertebrate assemblages, each having over two times the magnitude of effect on macroinvertebrates compared with watershed‐level predictors. In the arid XER, annual precipitation and stream flow characteristics were top predictors of macroinvertebrate assemblages and had similar magnitudes of effect as in‐stream water chemistry. Path analyses revealed that land use activities in the watershed and at the stream site degraded macroinvertebrate assemblages indirectly by altering relative bed stability, water quality, and riparian cover/complexity. Increased riparian cover was associated with greater macroinvertebrate condition by reducing land use impacts on stream flow, streambed substrate, and water quality, but the pathways differed among ecoregions. In the WMT, site‐level riparian cover affected macroinvertebrate assemblages partly through indirect pathways associated with greater streambed stability and reduced total nitrogen concentrations. In contrast, in the XER, watershed‐level riparian cover affected macroinvertebrate assemblages through greater specific stream power. Identifying the relative effects of and pathways by which natural and anthropogenic factors affect macroinvertebrates can serve as a framework for prioritizing management and conservation efforts. [ABSTRACT FROM AUTHOR]

Environmental flows are critical for balancing societal water needs with that of riverine ecosystems; however, data limitations often hinder the development of predictive relationships between anthropogenic modifications to streamflow regimes and ecological responses – these relationships are the basis for setting regional water policy standards for rivers. Herein, we present and describe a comprehensive dataset of modeled hydrologic alteration and consequences for native fish biodiversity, both mapped at the stream-reach resolution for the conterminous U.S. Using empirical observations of reference conditions and anthropogenically altered streamflow at over 7000 stream gauges, we developed a predictive model of hydrologic alteration, which was extended to >2.6 million stream reaches. We then used a previous nationwide assessment of ecological responses to hydrologic alteration to predict fish biodiversity loss in stream reaches resulting from streamflow modification. Validation efforts suggested hydrologic alteration models had satisfactory performance, whereas modeled ecological responses were susceptible to compounded errors. The dataset could ameliorate regional data deficits for setting environmental flow standards while providing tools for prioritizing streamflow protection or restoration. Measurement(s) hydrologic alteration, human alteration of streamflow regimes • fish biodiversity Technology Type(s) Random forest • Quantile regression techniques Factor Type(s) human disturbances in streams (land use, dam storage, water use) Sample Characteristic - Organism Freshwater fish Sample Characteristic - Environment stream Sample Characteristic - Location contiguous United States of America [ABSTRACT FROM AUTHOR]

Collaboration is increasingly emphasized as a tool to realize national-level policy goals in public lands management. Yet, collaborative governance regimes (CGRs) are nested within traditional bureaucracies and are affected by internal and external disruptions. The extent to which CGRs adapt and remain resilient to these disruptions remains under-explored. Here, we distill insights from an assessment of the Collaborative Forest Landscape Restoration Program (CFLRP) projects and other CGRs. We asked (1) how do CGRs adapt to disruptions? and (2) what barriers constrained CGR resilience? Our analysis is informed by a synthesis of the literature, case examples and exemplars from focus groups, and a national CFLRP survey. CGRs demonstrated the ability to mobilize social capital, learning, resources, and flexibility to respond to disruptions. Yet authority, accountability, and capacity complicated collaborative resilience. We conclude with policy and practice recommendations to cultivate collaborative resilience moving forward. [ABSTRACT FROM AUTHOR]

It is an inevitable requirement to modify human development index (HDI) with greenness and fairness indicators. Using ecological footprint, this paper tried to construct the human-ecological sustainable development index (HEDI) based on panel data of 28 countries from 1990 to 2014, and analyzed the contribution of sub- indicators to HEDI with the Logarithmic Mean Divisia Index (LMDI) decomposition approach. Fairness was adjusted to construct a comprehensive human- ecological sustainable development index (cHEDI) that could fully reflect the degree of economy, society, ecology and equal development comprehensively. We analyzed the spatial and temporal changes of HEDI and cHEDI with the index in 28 countries around the world. The results show that developed countries with high biomass surplus are highly sustainable, ranking higher than other countries. One of the main factors affecting sustainable development is high carbon emissions in these countries. Besides the high carbon emissions, the shortage of biomass resources is another unsustainable reason in the developed countries with biomass deficit, which maintain development by transferring assets from other countries. Unfairness leads to a decline in comprehensive sustainability in the United States. From 1990 to 2014, income and education in developing countries increased rapidly, but ecological consumption and Gini coefficient continued to rise, and the inhibitory effect gradually expanded to increase the unsustainability of development. The sustainability index of the United States and developing countries is greatly affected by the Gini coefficient. The United Arab Emirates ranked last in the world, with the least sustainable development mode. Although its income ranked first in the world, biomass and energy consumption was very high, and the Gini coefficient far exceeded that of other countries. The development of the least developed countries mainly came from contribution of health, education and low ecological consumption. Barren natural assets limited their further development. Different countries have different shortcomings in human sustainable development. The sub- divisions were highly correlated, hence to achieve the high level of human sustainable development requires better balance between society, economy, greenness, and fairness. [ABSTRACT FROM AUTHOR]

The purpose of this study was to identify, characterize, and assess data needs for ecological risk of household cleaning product polymers currently being used in the United States (US). Because of their range in properties and functions, polymers are used in a wide variety of household cleaning products, including fabric, dish, and hard surface cleaners. Understanding their potential environmental impact is essential for good ingredient and product stewardship. The household cleaning product polymers were first identified using several databases. Of the 185 polymers initially identified, 120 were eliminated from the list because they did not fit the definition of a polymer, were not well defined (e.g., no Chemical Abstracts Service [CAS] or trade name only), or were not in current use. Forty‐seven of the remaining polymers had either adequate environmental fate and hazard data and/or sufficient data for conducting a comprehensive ecological risk assessment and were determined to be of low concern by either the United States Environmental Protection Agency (USEPA), the European Chemicals Agency (ECHA), and/or the Human and Environmental Risk Assessment (HERA) Project. The remaining 18 polymers were determined to need further review because of a lack of publicly available information for conducting ecological risk assessments. Additional data for these 18 polymers could be obtained by accessing privately held data, conducting laboratory tests on their fate and effects in aquatic environments, or by conducting read‐across of similar structured polymers. These steps can be utilized by industry to determine where best to dedicate future environmental stewardship efforts. Integr Environ Assess Manag 2019;15:621–632. © 2019 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of Society of Environmental Toxicology & Chemistry (SETAC) Key Points: This project aimed to identify, characterize, and obtain environmental information on United States (US) household cleaning product polymers in current use to identify polymers that need additional data for conducting ecological risk assessments.An initial list of 185 polymers was narrowed by excluding polymers that were adequately characterized for ecological risk and those that did not fall under the Organisation for Economic Co‐operation and Development (OECD) definition of a polymer.A comprehensive literature search and compilation of publicly available data allowed for conducting a data gap analysis of the remaining 18 polymers, although little data were available.Further study to inform risk assessments for these polymers could include QSAR modeling, read‐across, accessing privately held data, or further testing. [ABSTRACT FROM AUTHOR]

Objective: To identify home environment factors associated with toddler dietary behaviours using ecological momentary assessment (EMA).Design: Home environment and toddler's diet were assessed by mothers through EMA (random beeps over ≤8 d and a brief survey). Dietary outcomes were fruit/vegetable consumption, eating episode ('snack' v. 'meal') and sugar-sweetened beverage (SSB) consumption. Home environment factors included interacting with mother, eating alone/with others, eating in a high chair/chair at the table, watching television and movement/translocation. Multilevel logistic mixed-effects regression models assessed both within- (individual toddlers across time) and between- (toddlers-on-average) subject effects.Subjects: Low-income mother-toddler dyads (n 277).Setting: Urban and suburban Maryland, USA.Results: EMA captured eating/drinking episodes for 249/277 (89·9 %) toddlers (883 eating episodes, 1586 drinking episodes). Toddlers-on-average were more likely (adjusted OR, P value) to eat fruit/vegetables when not moving around (0·43, P=0·043), eat with the television off (0·33, P<0·001) and eat in a high chair/chair (3·38, P<0·001); no within-subject effects were shown. For eating episodes, both toddlers-on-average and individual toddlers were more likely to eat snacks when not in a high chair/chair (0·13, P<0·001 and 0·06, P<0·001, respectively) and when eating alone (0·30, P<0·001 and 0·31, P<0·001, respectively). Also, individual toddlers were more likely to eat snacks when moving around (3·61, P<0·001). Toddlers-on-average were more likely to consume SSB when not in a high chair/chair (0·21, P=0·001), eating alone (0·38, P=0·047) or during a snacking episode (v. a meal: 3·96, P=0·012); no within-subject effects shown.Conclusions: Factors in the home environment are associated with dietary behaviours among toddlers. Understanding the interplay between the home environment and toddler diet can inform future paediatric dietary recommendations. [ABSTRACT FROM AUTHOR]

• A new hybrid model DC-LSTM for daily streamflow forecasting is developed. • The model is examined for streamflow forecasting in different climate regions. • Integrating LSTM and dynamic classification can improve the performance of streamflow forecasting. • Box -Cox data transformation can further improve model performance in arid regions. Daily streamflow forecasting is a major determinant of ecological processes in running waters, healthy stream ecology and surrounding environment, and accurate streamflow forecasting provides a powerful foundation for ecological assessment, management, and decision-making. Recently, data-driven models for different flow regimes have shown excellent potential in streamflow forecasting. However, the boundaries between different flow regimes were selected arbitrarily without considering the changes in boundaries that often occur over time in the real world. Therefore, in this paper, an integrated modelling approach that couples a dynamic classification method with a long short-term memory networks (LSTM) model without data transformation (the DC-LSTM model) and an LSTM with Box-Cox data transformation (the DC-B-LSTM model) is developed to improve the performance of streamflow forecasting considering different flow regimes. The boundaries of dynamic classification are dynamic changing interval values of related hydrological variables improved from traditional classification method just using static single-variable threshold, so dynamic classification can more fully explore the relationship and information of hydrological data. The performance of both the DC-LSTM and DC-B-LSTM models is compared to that of the LSTM model without data classification (the traditional LSTM model) and with data classification using a traditional static method (the C-LSTM model) based on data from 8 stations within 4 river basins in different climate regions in the United States. The results show that both the DC-LSTM and DC-B-LSTM models out-perform the traditional LSTM models (with or without static data classification) for all river basins considered. Furthermore, the DC-B-LSTM model displays better performance than the DC-LSTM model in arid areas. [ABSTRACT FROM AUTHOR]

The United States faces a massive task to clean up legacy nuclear, chemical, and structural wastes remaining from the Cold War, and industrial and hazardous wastes, as well as the decommissioning and spent nuclear fuel removal of numerous commercial nuclear facilities nearing the end of useful life. Many sites are on or adjacent to open spaces or waterbodies of varying ecologic quality and utility. Assessing the risks to ecological resources is thus a challenging task that usually involves consideration of the direct risk to these receptors from the ongoing exposure to the contamination before remediation. Here we address impacts during and after remediation. Different remediation types and activities (digging and removal, containment/capping, decommissioning/demolition, pump and treat, in situ treatment), as well as transportation and ultimate disposition can have direct ecological effects including disruption, displacement and death to plants and animals on the remediation site and on surrounding areas. For each type of remediation, two aspects require consideration: the functional aspects of remediation (how many and what types of people, cars, trucks, hoses, heavy equipment, drilling rigs are on the remediation site), and initiating events that can interact with remediation causing harm to ecologic receptors. In this paper we 1) describe initiating events and functional remediation, 2) provide a conceptualization of interactions between them, and 3) examine the types of effects that result from natural and anthropogenic stressors due to the interactions between functional remediation and initiating events. Initiating events are low probability, high consequence events, including “natural” disasters (e.g. earthquakes, hurricanes, floods, fires) and anthropogenic (building collapses, structural failures) events, that start or cause a response in species or ecosystems. Functional remediation includes the elements of remediation that occur in combination under different remediation types. Interactions between the two may be overlooked when determining the factors to consider in developing bioindicators, assessment tools, and monitoring plans to protect human and ecological health. Each can exacerbate the ecological impacts of the other. We use the Hanford Site in Washington State as a case study, but the principles are broadly applicable. [ABSTRACT FROM AUTHOR]

The concept of tracing the ecologically-based life cycle impacts of agricultural and food industries (AFIs) has become a topic of interest worldwide due to their critical association with the climate change, water and land footprint, and food security. In this study, an in-depth analysis of ecological resource consumption, atmospheric emissions, land and water footprints of 54 agricultural and food industries in the U.S. were examined extensively. Initially, the supply-chain linked ecological life cycle assessment was performed with Ecologically-based Life Cycle Assessment (Eco-LCA) tool. Then, the results of life cycle inventory were used to assess the mid and end-point impacts by using the ReCiPe approach. Thirdly, ecological performance assessment was performed using well-known metrics, including loading and renewability ratios and eco-efficiency analysis. As a novel comprehensive approach, the integrated framework that consists of the Eco-LCA, ReCiPe and linear programming-based ecological performance assessment is of importance to have an overall understanding about the extent of impacts related to agricultural and food production activities across the U.S. Results indicated that grain farming, dairy food, and animal production-related sectors were found to have the greatest shares in both environmental and ecological impact categories as well as endpoint impacts on human health, ecosystem and resources. In terms of climate change, animal (except poultry) slaughtering, rendering, and processing (ASRP), cattle ranching and farming (CRF), fertilizer manufacturing (FM), grain farming (GF), fluid milk and butter manufacturing (FMBM) were found to be the top five dominant industries in climate change impacts accounting for about 60% share of the total impact. [ABSTRACT FROM AUTHOR]

Geographically isolated wetlands (GIWs) are common features of the Dougherty Plain physiographic region in southwestern Georgia. Due to lack of protection at the state and federal levels, these wetlands are threatened by intensive agricultural and silvicultural land uses common in the region. Recently, the ecological condition of such GIWs was assessed for the southeastern United States using the Landscape Development Intensity Index (LDI), a practical assessment tool that relies on remotely sensed land use and land cover (LULC) data surrounding isolated wetlands to rapidly predict wetland condition. However, no assessments have been attempted for GIWs in the Dougherty Plain specifically. Our goal was to develop a framework to guide and refine remote assessment of wetland condition within this agriculturally intense region of the southeastern USA. In this study, we characterized human disturbances associated with isolated wetlands in the Dougherty Plain, and paired the rapid assessment of GIWs using LDI with an intensive assessment of wetland plant communities. Specifically, we: (1) examined how macrophyte assemblages and vegetation metrics vary across a human disturbance gradient in the Dougherty Plain; (2) compared multiple condition assessment outcomes using variations of the LDI method that differed in spatial extent and resolution of LULC categories; and (3) determined the predicted condition of GIWs in the Dougherty Plain as indexed by LDI and compared with region-wide assessments of GIWs of the southeastern USA. Generally, the relationship between wetland plant communities and surrounding land use supported the assumptions of the LDI index in that wetlands surrounded by agricultural land use classes featured distinct plant communities relative to those surrounded by forested land use classes. Our results indicated that finer spatial resolution of LULC data improved the predictive ability of LDI. However, based on incongruence between wetland vegetation composition and LDI scores in some forested landscapes, this study identified limitations of the LDI assessment method, particularly when applied in regions in which prescribed fire is an important ecological driver of vegetation and habitat. Thus, we conclude that LDI may be biased toward an overestimation of reference condition GIWs, even though the habitat may be functionally degraded by the absence of natural processes such as fire. Regardless, relative to the assessment of the entire southeastern US, a greater proportion of total GIWs of the Dougherty Plain were identified as impaired due to the intensity of irrigated agricultural land use. [ABSTRACT FROM AUTHOR]

We implemented an integrated ecological assessment using a GIS-based decision support system model for Upper Delaware Scenic and Recreational River (UPDE) and Delaware Water Gap National Recreation Area (DEWA)-national park units with the mid-Atlantic region of the United States. Our assessment examined a variety of aquatic and terrestrial indicators of ecosystem components that reflect the parks' conservation purpose and reference condition. Our assessment compared these indicators to ecological thresholds to determine the condition of park watersheds. Selected indicators included chemical and physical measures of water quality, biologic indicators of water quality, and landscape condition measures. For the chemical and physical measures of water quality, we used a water quality index and each of its nine components to assess the condition of water quality in each watershed. For biologic measures of water quality, we used the Ephemeroptera, Plecoptera, Trichoptera aquatic macroinvertebrate index and, secondarily, the Hilsenhoff aquatic macroinvertebrate index. Finally, for the landscape condition measures of our model, we used percent forest and percent impervious surface. Based on our overall assessment, UPDE and DEWA watersheds had an ecological assessment score of 0.433 on a −1 to 1 fuzzy logic scale. This score indicates that, in general, the natural resource condition within watersheds at these parks is healthy or ecologically unimpaired; however, we had only partial data for many of our indicators. Our model is iterative and new data may be incorporated as they become available. These natural parks are located within a rapidly urbanizing landscape-we recommend that natural resource managers remain vigilant to surrounding land uses that may adversely affect natural resources within the parks. [ABSTRACT FROM AUTHOR]

• Genus-level, trait-based diatom indices were developed for the conterminous U.S. • Diatom indices had strong ability to separate least- from most-disturbed sites. • Using diatoms traits can circumvent the problem of taxonomic inconsistencies. • Trait approach is cost-effective that could benefit programs with limited resources. • Trait-based indices can be used in large-scale, river and stream assessments. Taxonomic inconsistency in species-level identifications has constrained use of diatoms as biological indicators in aquatic assessments. We addressed this problem by developing diatom multimetric indices (MMIs) of ecological condition using genus-level taxonomy and trait-based autecological information. The MMIs were designed to assess river and stream chemical, physical and biological condition across the conterminous United States. Trait-based approaches have the advantage of using both species-level and genus-level data, which require less effort and expense to acquire than traditional species-based approaches and eliminate the persistent taxonomic biases introduced over vast geographic extents. For large-extent assessment programs that require multiple taxonomic laboratories to process samples, such as the United States Environmental Protection Agency's (U.S. EPA's) National Rivers and Streams Assessment (NRSA), the trait approach can eliminate discrepancies in species-level identification or nomenclature that hinder diatom data interpretation. We developed trait-based MMIs using NRSA data for each of the three large ecoregions across the U.S. - the East, Plains, and West. All three MMIs performed well in discriminating least-disturbed from most-disturbed sites. The MMI for the East had the greatest discrimination ability, followed by MMIs for the Plains and West, respectively. The performance of the MMIs was comparable to that observed in existing NRSA fish and macroinvertebrate MMIs. Our research shows that trait-based diatom indices constructed on genus-level taxonomy can be effective for large-scale assessments, and may also allow programs such as NRSA to assess trends in freshwater condition retrospectively, by revisiting older diatom datasets. Moreover, our genus-based approach facilitates including of diatoms into other assessment programs that have limited monitoring resources. [ABSTRACT FROM AUTHOR]

The US National Ocean Policy calls for ecosystem-based management (EBM) of the ocean to help realize the vision advanced in the 2010 Executive Order on the Stewardship of the Ocean, Our Coasts, and the Great Lakes. However, no specific approach for incorporating EBM into planning was provided. We explore how a set of ecological principles and ecosystem vulnerability concepts can be integrated into emerging comprehensive assessment frameworks, including Australia's National Marine Bioregional Assessments, California's Marine Life Protection Act Initiative's regional profiles, Canada's Eastern Scotian Shelf Integrated Management Initiative, and the US National Oceanic and Atmospheric Administration's (NOAA) Integrated Ecosystem Assessment (IEA) program, to transition to ecosystem-based ocean planning. We examine NOAA's IEA framework to demonstrate how these concepts could be incorporated into existing frameworks. Although our discussion is focused on US ocean policy, comprehensive ecological assessments are applicable to a wide array of management strategies and planning processes. [ABSTRACT FROM AUTHOR]

One of the biggest challenges when conducting a national-scale assessment of lakes, such as the 2007 US National Lake Assessment (NLA), is finding enough reference lakes to set appropriate expectations for the assessed sites. In the NLA, a random design was used to select lakes for sampling to make unbiased estimates of regional condition. However, such an approach was unlikely to yield enough minimally impacted lakes to use as reference sites, especially in disturbed regions. We developed a 3-stage process to select candidate reference lakes to augment the NLA probability sample in the northeastern USA (Northeast). Screening included a water-chemistry database filter, landuse evaluation, and analysis of aerial photographs. In the Northeast, we assembled a database of 2109 lakes .4 ha in surface area, of which 369 passed the water-chemistry screen. Of these, 220 failed the watershed landuse screen and 60 failed the aerial photograph screen, leaving a set of 89 optimal candidate reference lakes. Twenty of these lakes were sampled as potential reference lakes in the NLA. Based on a wide variety of indicators, NLA field measurements indicated that almost all (85-100%) of the chosen candidate reference lakes had leastdisturbed water chemistry, although somewhat fewer had least disturbed physical habitat (74-79%) and biology (68-78%). Nevertheless, our 3-stage screening process was an efficient method for identification of good candidates for reference-lake sampling. The reference-lake selection process used in our study can be done in the office and relatively inexpensively. As such, it is very useful for large-scale regional or national studies encompassing areas too large to census. It also has the advantage of adding a level of consistency and quantification to the reference-site selection process. [ABSTRACT FROM AUTHOR]

Setting up cost-efficient control programs for alien invasive species requires the development of adequate removal methods in combination with insights in population size and dynamics. American bullfrog Lithobates catesbeianus is an alien invasive species, which is suspected to cause substantial ecological damage around the globe. However, control of bullfrog populations is difficult, as no conclusive management measures have yet been determined. We investigated how double fyke nets could contribute to bullfrog management by assessing the tadpole population size in 10 permanent small shallow water bodies. Two population size estimate methods were applied, being the catch-depletion and mark-recapture method. Catchability of bullfrog tadpoles proved to be very consistent over ponds and methods, with one catch per unit of effort (one double fyke net for 24 h) retaining on average 6 % of the tadpole population. Population density varied considerably among ponds, ranging from 950 to 120,804 larger tadpole individuals/ha. Using these insights in developing a cost-efficient eradication program for the species, we projected the number of catch efforts needed to reduce tadpole numbers to a threshold that more than likely affects final bullfrog population size. Predictions indicated that for the specified thresholds the use of eight double fyke nets at a time is most cost-efficient in high abundance populations, while using five double fyke nets seems most suitable in low abundance populations. What the exact threshold number of remaining tadpole individuals should be is uncertain, but forecasts demonstrate that only half of the budget would be needed when aiming at a drop to fewer than 100 remaining tadpoles than when a decrease to fewer than 10 remaining tadpoles is pursued. Given the fairly limited cost of bullfrog management with double fyke nets, however, it may be worthwhile to fully reduce the tadpole population. [ABSTRACT FROM AUTHOR]

Robust predictions of stream solute concentrations expected under natural (reference) conditions would help establish more realistic water quality standards and improve stream ecological assessments. Models predicting solute concentrations from environmental factors would also help identify the relative importance of different factors that influence water chemistry. Although data are available describing the major factors controlling water chemistry (i.e., geology, climate, atmospheric deposition, soils, vegetation, topography), geologic maps do not adequately convey how rocks vary in their chemical and physical properties. We addressed this issue by associating rock chemical and physical properties with geological map units to produce continuous maps of percentages of CaO, MgO, S. uniaxial compressive strength, and hydraulic conductivity for western United States lithologies. We used catchment summaries of these geologic properties and other environmental factors to develop multiple linear regression (LR) and random forest (RF) models to predict base flow electrical conductivity (EC'), acid neutralization capacity (ANC). Ca, Mg, and SO4. Models were derived from observations at 1414 reference-quality streams. RF models were superior to LR models, explaining 71% of the variance in EC. 61% in ANC, 92% in Ca, 58% in Mg, and 740 in SO4 when assessed with independent observations. The root-mean-square error for predictions on validation sites were all <11% of the range of observed values. The relative importance of different environmental factors in predicting stream chemistry varied among models, but on average rock chemistry> temperature > precipitation> soil = atmospheric deposition > vegetation > amount of rock/water contact> topography. [ABSTRACT FROM AUTHOR]

The authors reflect on the colloquium organized by the Risk Assessment Forum (RAF) to propose recommendations to enhance the Guidelines for Ecological Risk Assessment issued by the U.S. Environmental Protection Agency (EPA). It says that the recommendations to advance the ecological assessment were grouped into three categories including the development of policies for ecological protection. Moreover, the specific needs of ecological assessment including weight of evidence are also discussed.

Two decades of uncharacteristically severe wildfires have caused government and private land managers to actively reduce hazardous fuels to lessen wildfire severity in western forests, including riparian areas. Because riparian fuel treatments are a fairly new management strategy, we set out to document their frequency and extent on federal lands in the western U.S. Seventy-four USDA Forest Service Fire Management Officers (FMOs) in 11 states were interviewed to collect information on the number and characteristics of riparian fuel reduction treatments in their management district. Just under half of the FMOs surveyed (43%) indicated that they were conducting fuel reduction treatments in riparian areas. The primary management objective listed for these projects was either fuel reduction (81%) or ecological restoration and habitat improvement (41%), though multiple management goals were common (56%). Most projects were of small extent (93% < 300 acres), occurred in the wildland-urban interface (75%), and were conducted in ways to minimize negative impacts on species and habitats. The results of this survey suggest that managers are proceeding cautiously with treatments. To facilitate project planning and implementation, managers recommended early coordination with resource specialists, such as hydrologists and fish and wildlife biologists. Well-designed monitoring of the consequences of riparian fuel treatments on fuel loads, fire risk, and ecological effects is needed to provide a scientifically-defensible basis for the continued and growing implementation of these treatments. [ABSTRACT FROM AUTHOR]

The Society of Environmental Toxicology and Chemistry (SETAC) convened an invited workshop (August 2008) to address coordination between ecological risk assessment (ERA) and natural resource damage assessment (NRDA). Although ERA and NRDA activities are performed under a number of statutory and regulatory authorities, the primary focus of the workshop was on ERA and NRDA as currently practiced in the United States under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). This paper presents the findings and conclusions of the Synthesis Work Group, 1 of 3 work groups convened at the workshop. The Synthesis Work Group concluded that the different programmatic objectives and legal requirements of the 2 processes preclude development of a single, integrated ERA/NRDA process. However, although institutional and programmatic impediments exist to integration of the 2 processes, parties are capitalizing on opportunities to coordinate technical and scientific elements of the assessments at a number of locations. Although it is important to recognize and preserve the distinctions between ERA and NRDA, opportunities for data sharing exist, particularly for the characterization of environmental exposures and derivation of ecotoxicological information. Thus, effective coordination is not precluded by the underlying science. Rather, willing participants, accommodating schedules, and recognition of potential efficiencies associated with shared data collection can lead to enhanced coordination and consistency between ERA and NRDA. [ABSTRACT FROM AUTHOR]

Although ecological risk assessments (ERAs) and natural resource damage assessments (NRDAs) are performed under different statutory and regulatory authorities, primarily the Comprehensive Environmental Response, Compensation and Liability Act (CERCLA), as currently practiced, the activities typically overlap. ERAs performed as part of the response process (typically by the US Environmental Protection Agency [USEPA]) should be closely coordinated with the natural resource trustees' (trustees') NRDAs. Trustees should actively participate in the early stages of the remedial investigation (RI) and work with USEPA, including the potentially responsible parties (PRPs), when appropriate, to coordinate NRDA data needs with those of the RI. Close coordination can present opportunities to avoid inefficiencies, such as unnecessary resampling or duplicate data gathering, and provide the opportunity to fulfill both process requirements with a few well-designed investigations. Early identification of opportunities for practical combined assessment can save money and time as the restoration process proceeds and facilitate a cooperative resolution of the entire site's CERCLA liability. The Society of Environmental Toxicology and Chemistry (SETAC) convened an invited workshop (August 2008) to address coordination between ERA and NRDA efforts. This paper presents the findings and conclusions of the Framework Work Group, which considered technical issues common to each process, while mindful of the current legal and policy landscape, and developed recommendations for future practice. [ABSTRACT FROM AUTHOR]

Hazardous site management in the United States includes remediation of contaminated environmental media and restoration of injured natural resources. Site remediation decisions are informed by ecological risk assessment (ERA), whereas restoration and compensation decisions are informed by the natural resource damage assessment (NRDA) process. Despite similarities in many of their data needs and the advantages of more closely linking their analyses, ERA and NRDA have been conducted largely independently of one another. This is the 4th in a series of papers reporting the results of a recent workshop that explored how ERA and NRDA data needs and assessment processes could be more closely linked. Our objective is to evaluate the technical underpinnings of recent methods used to translate natural resource injuries into ecological service losses and to propose ways to enhance the usefulness of data obtained in ERAs to the NRDA process. Three aspects are addressed: 1) improving the linkage among ERA assessment endpoints and ecological services evaluated in the NRDA process, 2) enhancing ERA data collection and interpretation approaches to improve translation of ERA measurements in damage assessments, and 3) highlighting methods that can be used to aggregate service losses across contaminants and across natural resources. We propose that ERA and NRDA both would benefit by focusing ecological assessment endpoints on the ecosystem services that correspond most directly to restoration and damage compensation decisions, and we encourage development of generic ecosystem service assessment endpoints for application in hazardous site investigations. To facilitate their use in NRDA, ERA measurements should focus on natural resource species that affect the flow of ecosystem services most directly, should encompass levels of biological organization above organisms, and should be made with the use of experimental designs that support description of responses to contaminants as continuous (as opposed to discrete) variables. Application of a data quality objective process, involving input from ERA and NRDA practitioners and site decision makers alike, can facilitate identification of data collection and analysis approaches that will benefit both assessment processes. Because of their demonstrated relationships to a number of important ecosystem services, we recommend that measures of biodiversity be targeted as key measurement endpoints in ERA to support the translation between risk and service losses. Building from case studies of recent successes, suggestions are offered for aggregating service losses at sites involving combinations of chemicals and multiple natural resource groups. Recognizing that ERA and NRDA are conducted for different purposes, we conclude that their values to environmental decision making can be enhanced by more closely linking their data collection and analysis activities. [ABSTRACT FROM AUTHOR]

A SETAC Technical Workshop titled ''The Nexus Between Ecological Risk Assessment and Natural Resource Damage Assessment Under CERCLA: Understanding and Improving the Common Scientific Underpinnings,'' was held 18-22 August 2008 in Gregson, Montana, USA, to examine the linkage, nexus, and overlap between ecological risk assessment (ERA) and natural resource damage assessment (NRDA) under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA). Experts from a broad range of relevant scientific, legal, and policy disciplines convened to 1) ascertain the potential for improved scientific harmonization of the processes of ERA and NRDA; 2) identify where statutory, regulatory, or scientific constraints might exist that would constrain or preclude the harmonization of the 2 processes; 3) determine approaches that might overcome these constraints; and 4) recommend research or potential changes in regulatory policies that might serve to improve both processes. This is the introduction to a series of 3 papers that describe the findings and conclusions of this workshop. Although unanimity was not achieved on all technical, legal, or policy questions posed to the participants, some consensus areas did arise. First, there appear to be few if any legal constraints to using the environmental data collected for ERA or NRDA for both processes. Second, although it is important to recognize and preserve the distinctions between ERA and NRDA, opportunities for data sharing exist, particularly for the characterization of environmental exposures and derivation of ecotoxicological information. Thus, effective coordination is not precluded by the underlying science. Where a cooperative, interactive process is involved among the response agencies, the natural resource trustees, and the responsible party(s), technical, legal or regulatory constraints can be minimized. Finally, one approach that might enhance the potential applicability of data collected for the ERA is to consider ecosystem services in the development of assessment endpoints. These points are explained in greater detail in the series of papers published herein. [ABSTRACT FROM AUTHOR]

In this article the authors discusses aspects of the uncertainties in assessing environmental exposure, risk, and ecological impacts of nanomaterials. The authors note that in order to inform regulation, the fate and interactions of nanomaterials (NMs) in complex environmental complexes must be assessed for exposure and harm. They also highlight the implications of research being done at the U.S. Center for the Environmental Implications of Nanotechnolgy (CEINT).

It is critical to understand environmental impacts embodied in the bilateral trade between China and the United States, given the political, economic, and geographical importance of the two countries and the fact that few studies have investigated this before. This article studies the environmental impacts, particularly energy consumption and air emissions, embodied in the eastbound (from China to the U.S.) trade from 2002 to 2007 using an environmental input-output analysis technique and the adjusted bilateral trade data. In general, trade volume increased until the panic of 2008, and shifting trade patterns cause fluctuating embodied energy and air emissions in trade in China. Results show that embodied energy ranges from 7 to 11 exajoule (EJ) and takes about 12-17% of China's energy consumption. Embodied CO2 ranges between 400 and 800 Mt and represents about 8-12% of China's CO2 emissions. SO2 and NOx embodied in the eastbound trade generally grow over this period, from 4.2 to 6.3 Mt and from 1.4 to 2.9 Mt. and account for 10-15% and 8-12% of China's total emissions, respectively. [ABSTRACT FROM AUTHOR]

A variety of molecular markers have consistently shown that little gene flow occurs among the geographically isolated populations of the cactophilic Drosophila mojavensis Patterson and Crow of southwestern USA and northwestern Mexico. The molecular studies support previous subspecies designations of D. mojavensis (D. m. mojavensis from the Mojave Desert and D. m. baja from the Baja California peninsula) and, in addition, suggest that two additional subspecies should be recognized (D. m. sonorensis from Sonora and Sinaloa, Mexico to southern Arizona and D. m. wrigleyi from Santa Catalina Island, California). Here we review evidence from studies on population genetics, ecology and behaviour that supports the subspecies assignments in D. mojavensis, and provide descriptions of D. m. sonorensis and D. m. wrigleyi. We also provide redescriptions of D. m. mojavensis and D. m. baja. Morphologically, the four subspecies are similar in external appearance, but showed differences in the male genitalia. [ABSTRACT FROM AUTHOR]

We review ways in which the new discipline of ecoinformatics is changing how environmental monitoring data are managed, synthesized, and analyzed. Rapid improvements in information technology and strong interest in biodiversity and sustainable ecosystems are driving a vigorous phase of development in ecological databases. Emerging data standards and protocols enable these data to be shared in ways that have previously been difficult. We use the U.S. Environmental Protection Agency’s National Coastal Assessment (NCA) as an example. The NCA has collected biological, chemical, and physical data from thousands of stations around the U.S. coasts since 1990. NCA data that were collected primarily to assess the ecological condition of the U.S. coasts can be used in innovative ways, such as biogeographical studies to analyze species invasions. NCA application of ecoinformatics tools leads to new possibilities for integrating the hundreds of thousands of NCA species records with other databases to address broad-scale and long-term questions such as environmental impacts, global climate change, and species invasions. [ABSTRACT FROM AUTHOR]

Natural resource management decisions can be based on incomplete knowledge when they lack scientific research, monitoring, and assessment and/or simultaneously fail to draw on local ecological knowledge. Many community-based forestry organizations in the United States attempt to address these knowledge gaps with an integrated ecological stewardship approach that balances ecological, social, and economic goals. This paper examines the use and integration of local knowledge and conventional science in ecological stewardship and monitoring by seven community-based forestry demonstration projects. Through document reviews and interviews with both participants and partners of all of these communitybased organizations, we found that all the community-based forestry groups incorporated local ecological knowledge into many aspects of their management or monitoring activities, such as collaboratively designing monitoring programs with local ranchers, forest workers, and residents; involving local people in collecting data and interpreting results; and documenting the local ecological knowledge of private forest landowners, long-time residents, and harvesters of nontimber forest products. We found that all the groups also used conventional science to design or conduct ecological assessments, monitoring, or research. We also found evidence, in the form of changes in attitudes on the part of local people and conventional scientists and jointly produced reports, that the two types of knowledge were integrated by all groups. These findings imply that community-based forestry groups are redistributing the power of conventional science through the use of diverse knowledge sources. Still, several obstacles prevented some local, traditionally underrepresented groups from being significantly involved in monitoring and management decisions, and their knowledge has not yet been consistently incorporated. [ABSTRACT FROM AUTHOR]

The New Environmental Paradigm (NEP) Scale, published in The Journal of Environmental Education by R. E. Dunlap and K. D. Van Liere (1978), has become the most widely used measure of environmental concern in the world and been employed in hundreds of studies in dozens of nations. This article tells the story of the NEP Scale, beginning with how the author developed the notion of an environmental paradigm and then decided to measure it. The author describes the original NEP Scale and its 3 revisions, 1 of which is rapidly replacing the 1978 version in most studies. The author then reviews current uses of the various NEP Scales and examines major criticisms of them. Last, the author discusses the failure of an ecological worldview to become institutionalized in the United States, stemming from intense opposition to it since the 1990s, and the need to understand the sources of this opposition and monitor the situation. [ABSTRACT FROM AUTHOR]

LCA is a quantitative method for understanding the environmental impacts of a product, yet all product purchasing decisions are ultimately subjective. Weights are the nexus between the quantitative results of LCA and the values-based, subjective choices of decision makers. In May 2007, NIST introduced a new optional weight set in Version 4.0 of the BEES software. Three key points about this new optional weight set are the basis for discussion in this paper: The new weight set was created specifically in the context of BEES. It is intended to support a practical method to assist environmentally preferable purchasing in the United States based on LCIA results. This is in contrast to the weight sets currently in BEES, which are based on generalist perspectives. The new weight set was created by a multi-stakeholder panel via the AHP method, and is a synthesis of panelists' perspectives or the relative importance of each environmental impact category in BEES. The weight set draws on each panelist's personal and professional understanding of, and value attributed to, each impact category. While the synthesized weight set may not equally satisfy each panelist's view of impact importance, it does reflect contemporary values in applying LCA to real world decisions, and represents one approach others can learn from in producing weight sets. The new weight set offers BEES users an additional option for synthesizing and comparing the environmental performance of building products and making purchasing decisions. In so doing, it strengthens the decision-making process, which is important when making product comparisons in the public domain. The Weight Set: Across all panelists and with explicit consideration of all time horizons, anthropogenic contributions to global warming, weighted at 29%, was judged most important, yet not so important that decisions can be made solely on the basis of this impact. A strong tail of other concerns include fossil fuel depletion (10%), criteria air pollutants (9%), water intake/use (8%), human health cancerous effects (8%), ecological toxicity (7%), eutrophication of water bodies (6%), land use (6%), and human health noncancerous effects (5%). Also of interest are the identified impact areas of concern assigned the lowest weights: smog formation (4%), indoor air quality (3%), acidification (3%), and ozone depletion (2%). Their low weights may indicate that there is not as much immediate concern or that the remedial actions associated with the impact for the most part are underway. [ABSTRACT FROM AUTHOR]

This study evaluates the impact assessment methodologies used by Uganda's Water Hyacinth Control Programme in Lake Victoria, a domestic project with transboundary implications. The Control Programme sought to reduce infestations of water hyacinth (Eichhornia crassipes), an aquatic weed native to South America, through the use of integrated chemical, mechanical and biological methods. The environmental impact assessment for the project was conducted by Aquatics Unlimited, with support from the United States Agency for International Development. Although the case study involves a domestic impact assessment, it raised transboundary concerns. One of the major outcomes of the assessment was recognition of the need for informed involvement of the other riparian countries, Kenya and Tanzania, in the assessment process to ensure a regional effort among all three East African Community Partner States to control water hyacinth and other invasive weeds in Lake Victoria. [ABSTRACT FROM AUTHOR]

The article highlights the interrelationships within a group of writers who support on the deep ecology movement principles in the U.S. The author claims that the work of John Muir, Mary Austin, John Steinbeck, Robinson Jeffers, and Gary Snyder were an important component in both the postulation and promotion of the platform principles of the deep ecology movement. He adds that the writers' work have impacted the movement in a different way. Meanwhile, the author believes that it is safe to say that deep ecology supporters often reached out to literature in search of a cogent expression of the non-anthropocentric worldviews which are based on the knowledge generated by the science of ecology and deep knowledge of place.

Identification of reference conditions for ecological assessments of coastal ecosystems poses a challenging problem in highly modified landscapes. A method is described for characterizing disturbance in coastal ecosystems using remotely sensed land classification and other publicly available GIS data. Within ecoregions bordering the US Great Lakes coast, aquatic habitats bordering the shoreline were classified into five ecological types: high‐energy shoreline, embayments, open‐coast, river‐influenced and protected wetlands. Degree of anthropogenic disturbance in contributing areas to these ecosystems was assessed using a watershed approach for wetland types or a moving window approach for high‐energy shorelines. Anthropogenic stress variables included proportions of agricultural or residential land use, information on population and road density, and distance from the nearest point source. Polygons (wetlands) or pixels (high‐energy shoreline) were categorized as ‘reference’ if the magnitude of the most severe stressor, based on its cumulative frequency distribution within that ecoregion, placed it within the lowest 20th percentile. For shorelines, adjacent ‘reference’ pixels were agglomerated into polygons and a final ranking of polygons containing at least 2 km of shoreline was used to identify candidate reference areas. A subset of these sites is currently being sampled for fish, macroinvertebrates and physical habitat attributes. This a priori approach to reference area identification will allow managers to identify biological correlates of reference conditions, providing a benchmark for bioassessment and restoration efforts in coastal regions. [ABSTRACT FROM AUTHOR]

In North America, wild hogs ( Sus scrofa ) are both sought after as prime game and despised due to their detrimental impacts to the environment from their digging and rooting behavior. They are also a potentially useful indicator species for environmental health for both ecological- and human-based risk assessments. An inductive approach was used to develop probabilistic resource selection models using logistic regression to quantify the likelihood of hogs being in any area of the Department of Energy's 805 km 2 Savannah River Site (SRS) in west-central South Carolina. These models were derived by using available SRS hog hunt data from 1993–2000 and a Geographic Information System database describing the habitat structure of the SRS. The model's significant parameters indicated that wild hogs preferred hardwoods and avoided pine and shrubby areas. Further, landscape metric analyses revealed that hogs preferred areas with large complex patch areas and low size variation. These resource selection models were then utilized to better estimate exposure of wild hogs to radionuclides and metals in a disturbed riparian ecosystem on the SRS using two different possible diets based on food availability. Contaminant exposure can be better estimated using these resource selection models than has been previously possible, because past practices did not consider home range and habitat utilization probability in heterogeneously contaminated habitats. Had these models not been used, risk calculations would assume that contaminated areas were utilized 100% of the time, thus overestimating exposure by a factor of up to 25. [ABSTRACT FROM AUTHOR]

National assessments of forest fragmentation satisfy international biodiversity conventions, but they do not identify specific places where ecological impacts are likely. In this article, we identify geographic concentrations (hot spots) of forest located near holes in otherwise intact forest canopies (perforated forest) in the eastern United States, and we describe the proximate causes in terms of the nonforest land-cover types contained in those hot spots. Perforated forest, defined as a 0.09-ha unit of forest that is located at the center of a 7.29-ha neighborhood containing 60–99% forest with relatively low connectivity, was mapped over the eastern United States by using land-cover maps with roads superimposed. Statistically significant ( P< 0.001) hot spots of high perforation rate (perforated area per unit area of forest) were then located by using a spatial scan statistic. Hot spots were widely distributed and covered 20.4% of the total area of the 10 ecological provinces examined, but 50.1% of the total hot-spot area was concentrated in only two provinces. In the central part of the study area, more than 90% of the forest edge in hot spots was attributed to anthropogenic land-cover types, whereas in the northern and southern parts it was more often associated with seminatural land cover such as herbaceous wetlands. [ABSTRACT FROM AUTHOR]

Focuses on the presence of wildlife in urban settings in the U.S. Relationship between wildlife and ecological and human health; Function of the Seabird Ecological Assessment Network program; Changes in the population dynamics among sea turtles found in New York waters in 2004; Importance of carrion and dung beetles to ecosystem services.

The science and practice of assessing the status and trends of ecological conditions in great rivers have not kept pace with perturbation wrought on these systems. Participants at a symposium sponsored by the U.S. Environmental Protection Agency (USEPA) and the Council of State Governments concluded that useful and efficient assessments of great river ecosystems require thoughtful alignment of sampling designs, spatial and temporal scales, indicators, management needs, and ecosystem characteristics. Site-specific physical, chemical, and biological data long accumulated by monitoring programs have value but fail to provide the integrated system-wide perspective required for adaptive management and the Clean Water Act. Use of existing data may be limited by methodological incompatibilities, access difficulties, and the exclusive applicability of data to specific habitats or sites. The transition from site-specific to system-wide assessments benefits from research being done by USEPA’s Environmental Monitoring and Assessment Program (EMAP) and other programs that use probability surveys and biological indicators. Indicators of various taxa (in particular fish, algae, and benthic invertebrates) have been successfully developed for great rivers. However, optimizing the information these ecological indicators convey to managers and the public is the subject of ongoing research. [ABSTRACT FROM AUTHOR]

Because complete species inventories are expensive and time-consuming, scientists and land managers seek techniques to alleviate logistic constraints on measuring species richness, especially over large spatial scales. We developed a method to identify indicators of species richness that is applicable to any taxonomic group or ecosystem. In an initial case study, we found that a model based on the occurrence of five indicator species explained 88% of the deviance of species richness of 56 butterflies in a mountain range in western North America. We validated model predictions and spatial transferability of the model using independent, newly collected data from another, nearby mountain range. Predicted and observed values of butterfly species richness were highly correlated with 93% of the observed values falling within the 95% credible intervals of the predictions. We used a Bayesian approach to update the initial model with both the model-building and model-validation data sets. In the updated model, the effectiveness of three of the five indicator species was similar, whereas the effectiveness of two species was reduced. The latter species had more erratic distributions in the validation data set than in the original model-building data set. This objective method for identifying indicators of species richness could substantially enhance our ability to conduct large-scale ecological assessments of any group of animals or plants in any geographic region and to make effective conservation decisions. [ABSTRACT FROM AUTHOR]

1.Disturbance to sessile communities has been evaluated in a wide variety of terrestrial and marine settings, but, to our knowledge, recovery has not explicitly considered the effects of injury shape, except in an exploratory fashion. Therefore, we have developed a simple, but spatially explicit relationship between the geometry of a disturbance and the recovery rate in the context of natural resource damage assessment.2.Here, grounding of motor vessels in shoalgrass (Halodule wrightii), manatee grass (Syringodium filiforme), and turtlegrass (Thalassia testudinum) habitats results in a variety of injury shapes whose recovery must be evaluated to assign penalties and restoration costs to the party responsible.3.We developed two spatially explicit, cellular automata modelling techniques to evaluate injury recovery trajectory. Techniques in both SAS® and ArcINFO® were developed and applied to injuries of varying perimeter but fixed area.4.The SAS method utilized either a simple Boolean or probabalistic interrogation of the status of adjacent pixels using the matrix language component of the software. ArcINFO utilized a cost/distance module to evaluate proximity of unfilled to filled (colonized) pixels and then applied a decision rule that governed conversion from unfilled to a filled state. As expected, the greater the perimeter/area ratio, the faster the recovery; and modelling approaches yielded almost identical results.5.A case study involving ~1200 m2 of almost monotypic T. testudinum revealed that both models predicted that 100% recovery of above-ground components of the injury would not occur for approximately 60 years. This model is now being used routinely in the assessment of vessel groundings in seagrass beds within the Florida Keys National Marine Sanctuary and has been used successfully by the Government to prevail in US Federal Court challenges. Both methods have substantial, untapped capabilities to explore the effect of numerous ecological effects on the processes influencing recovery from disturbance. Published in 2004 by John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

The aquatic ecosystem simulation model AQUATOX was parameterized and applied to Contentnea Creek in the coastal plain of North Carolina to determine the response of fish to moderate levels of physical and chemical habitat alterations. Biomass of four fish groups was most sensitive to changes in temperature and detritus, but showed little sensitivity to changes in nutrients, sediment, pH, or dissolved oxygen. The model appears useful for assessment of stream ecosystem response to certain types of stressors; its utility should be determined further by model applications in other study areas and ecoregions. [ABSTRACT FROM AUTHOR]

This article presents the results of a comparative study of environmental policy making in Toronto and Los Angeles. The study was intended to explain how social formations at the urban scale play an increasingly important role in constructing environmental policy and practice as articulated in documents, rhetoric and political actions. It is suggested that environmental policy is embedded in broader and more long-term political goals, and that ecological discourse is not only about the environment but also brings together various social projects under the environmental protection flag. The four case studies— in Toronto, contaminated soil and the Don River were examined, and in Los Angeles air pollution and the Los Angeles River—revealed considerable variation but all reflected an agenda of ecological modernisation. In particular it was found that demands for maintaining or improving environmental integrity and coherence have lost legitimacy to concerns for efficiency, competitiveness, marketability, flexibility and development. Similarly, market driven regulation and an openness to civil society have played a major role in transforming policy making apparatuses. In contrast, the cases revealed that relationships between nature and society go beyond those expected in ecological modernisation theory and include both social ecology and urban ecology. [ABSTRACT FROM AUTHOR]

Analyzes the ecological economic modeling of the Patuxent River watershed in Maryland. Influence of human settlements and agricultural practices on landscapes; Factors affecting ecosystem dynamics; Internalization of human decision-making in the model.

The ‘gangsta’ persona adopted by some young Black males is generally viewed with apprehension and distaste by society. However,from an ecosystems perspective the gangsta presentation of self can be understood as serving adaptive functions in the macro, meso, and micro areas of experience. A case is presented to illustrate an ecosystems analysis of this phenomon, with implications for practice. [ABSTRACT FROM AUTHOR]

The article presents results of a particular method of summarizing data on retail distribution by city-size groups. The method is general and might be applied fruitfully to the analysis of other types of facilities and distributional phenomena. Its usefulness for the analysis of retail data is primarily to test and make more precise the general impression which prevails as to the relationship between urbanization and retail specialization. The U.S. Censuses of Business for 1939 and 1948 include tabulations of total dollar volume of retail sales for each of some sixty-odd kinds of business categories, by city-size groups. Precise comparisons are possible with the graphical and numerical techniques here referred to as the "urbanization curve" and the "coefficient of urbanization." Little comment is required as to changes in urbanization coefficients between 1939 and 1948. Some changes may be due to revisions of the classification system and to the fact that the tabulations do not include stores with total annual sales under $100 in 1939, whereas the cutting point is $500 in 1948. The most striking observation is that the pattern of comparative degrees of urbanization remains relatively constant over the decade, indicating, perhaps, an approach to some kind of ecological equilibrium.

Roads encroaching into undeveloped areas generally degrade ecological and watershed conditions and simultaneously provide access to natural resources, land parcels for development, and recreation. A metric of roadless space is needed for monitoring the balance between these ecological costs and societal benefits. We introduce a metric, roadless volume (RV), which is derived from the calculated distance to the nearest road. RV is useful and integrable over scales ranging from local to national. The 2.1 million cubic kilometers of RV in the conterminous United States are distributed with extreme inhomogeneity among its counties. [ABSTRACT FROM AUTHOR]