Mitigation under Section 404 of the Clean Water Act: where it comes from, what it means

The requirement to mitigate impacts to wetlands and streams is a frequently misunderstood policy with a long and complicated history. We narrate the history of mitigation since the inception of the Clean Water Act Section 404 permit program in 1972, through struggles between the US Environmental Protection Agency and the US Army Corps of Engineers, through the emerging importance of wetland conservation on the American political landscape, and through the rise of market-based approaches to environmental policy. Mitigation, as it is understood today, was not initially foreseen as a component of the Section 404 permitting program, but was adapted from 1978 regulations issued by the Council on Environmental Quality as a way of replacing the functions of filled wetlands where permit denials were unlikely. EPA and the Corps agreed in 1990 to define mitigation as the three steps of avoidance, minimization, and compensation, principles which must be applied to permit decisions in the form of the environmental criteria in EPA’s 404(b)(1) Guidelines. Through the 1980s and 1990s, the compensation component of mitigation has become nearly the sole focus of mitigation policy development, and has been the subject of numerous guidance documents and memoranda since 1990. Avoidance and minimization have received far less policy attention, and this lack of policy development may represent a missed opportunity to implement effective wetland conservation.

Aboveground decomposition dynamics in riparian depression and slope wetlands of central Pennsylvania

We examined two types of groundwater-fed wetlands (riparian depressions and slopes) classified using the hydrogeomorphic (HGM) system. These wetland types had previously been shown to differ hydrologically. Our first objective was to determine if HGM was a useful structuring variable when examining aboveground decomposition dynamics (rate of mass loss and rate of nitrogen loss). Our second objective was to determine what soil variables were related to any differences in aboveground decomposition dynamics we might find regardless of HGM subclass. We used the litterbag field bioassay technique, and employed a standard litter type (Phalaris arundinacea) across all wetlands. Our results indicated that HGM would not readily serve as an adequate structuring variable for aboveground decomposition in riparian depressions and slope wetlands of central Pennsylvania. Discriminant analysis and classification and regression tree (CART) modeling found soil cation exchange capacity, soil pH, soil organic matter, and soil % nitrogen to be potentially important soil variables related to mass loss, and soil % nitrogen and soil pH to be potentially important variables related to nitrogen loss rate.     

Atlantic bluefin tuna in the Gulf of Maine,II: precision of sampling designs in estimating seasonal abundance accounting for tuna behaviour

A primary challenge of animal surveys is to understand how to reliably sample populations exhibiting strong spatial heterogeneity. Building upon recent findings from survey, tracking and tagging data, we investigate spatial sampling of a seasonally resident population of Atlantic bluefin tuna in the Gulf of Maine, Northwestern Atlantic Ocean. We incorporate empirical estimates to parameterize a stochastic population model and simulate measurement designs to examine survey efficiency and precision under variation in tuna behaviour. We compare results for random, systematic, stratified, adaptive and spotter-search survey designs, with spotter-search comprising irregular transects that target surfacing schools and known aggregation locations (i.e., areas of expected high population density) based on a priori knowledge. Results obtained show how survey precision is expected to vary on average with sampling effort, in agreement with general sampling theory and provide uncertainty ranges based on simulated variance in tuna behaviour. Simulation results indicate that spotter-search provides the highest level of precision, however, measurable bias in observer-school encounter rate contributes substantial uncertainty. Considering survey bias, precision, efficiency and anticipated operational costs, we propose that an adaptive-stratified sampling alone or a combination of adaptive-stratification and spotter-search (a mixed-layer design whereby a priori information on the location and size of school aggregations is provided by sequential spotter-search sampling) may provide the best approach for reducing uncertainty in seasonal abundance estimates.

The work of wetland credit markets: two cases in entrepreneurial wetland banking

Wetland banking has been discussed in the policy literature mainly at a high level of abstraction, using economic models or generic examples to illustrate the concepts and tensions within wetland banking. This article illustrates two cases of wetland bank creation in-depth using the methodology of the extended case study, following the process from the initiation of interest in forming a bank through to the approval of credits for sale. The close attention to actual cases serves to move discussion beyond the goodness of models or the supposed rationality of economic actors, towards a consideration of actual market participants in complex situations. Successful wetland credit producers must negotiate a number of different economic, political, interpersonal, and ecological forces which impact their project from a number of different scales. While no optimal solution to this complexity is likely to be reached that is generalizable, the use of entrepreneurial wetland banking as a market-based policy may expand where skillful bankers and regulators together arrive at adequate solutions that are matched to the specificity of their contexts.

Developing an index of wetland condition from ecological data: An example using HGM functional variables from the Nanticoke watershed,USA

Demand for data on the ecological condition of wetlands is increasing as state and federal management programs recognize its value in reporting on the ambient condition of the resource, targeting restoration and protection efforts, evaluating the effects of mitigation and restoration practices, supporting regulatory decisions, and tracking the impact of land use decisions. We developed an approach for generating a single measure of wetland condition from ecological variables used in hydrogeomorphic (HGM) assessment. An Index of Wetland Condition (IWC) was developed from HGM field data collected to assess freshwater, non-tidal flat, riverine, and depression wetlands in the Nanticoke River watershed. The HGM variables were screened and scored based on a range check, responsiveness, and metric redundancy, employing a method used to develop indices of biotic integrity. Weights of the individual variables were adjusted to reflect our understanding of wetland ecology and to include variables that represented the vegetation, hydrology, and buffer of a wetland. The final IWC score discriminated high, medium, and low site disturbance classes in flat and riverine wetlands and high and low disturbance classes in depressions, one-way ANOVA F-values ranged from 44.5 to 79.1 (all p <0.0001). The combination of the IWC and HGM assessments provides a comprehensive evaluation of the wetland resource. HGM produces information on specific wetland functions. The IWC concisely conveys the ecological condition of the resource and maximizes the utility of the data collected in an HGM assessment.     

The hydrogeomorphic approach to functional assessment of riparian wetlands: evaluating impacts and mitigation on river floodplains in the U.S.A.

1. The ’hydrogeomorphic‘ approach to functional assessment of wetlands (HGM) was developed as a synthetic mechanism for compensatory mitigation of wetlands lost or damaged by human activities. The HGM approach is based on: (a) classification of wetlands by geomorphic origin and hydrographic regime (b) assessment models that associate variables as indicators of function, and (c) comparison to reference wetlands that represent the range of conditions that may be expected in a particular region. In this paper, we apply HGM to riparian wetlands of alluvial rivers. 2. In the HGM classification, riverine wetlands are characterized by formative fluvial processes that occur mainly on flood plains. The dominant water sources are overbank flooding from the channel or subsurface hyporheic flows. Examples of riverine wetlands in the U.S.A. are: bottomland hardwood forests that typify the low gradient, fine texture substratum of the south-eastern coastal plain and the alluvial flood plains that typify the high gradient, coarse texture substratum of western montane rivers. 3. Assessment (logic) models for each of fourteen alluvial wetland functions are described. Each model is a composite of two to seven wetland variables that are independently scored in relation to a reference data set developed for alluvial rivers in the western U.S.A. Scores are summarized by a ’functional capacity index‘ (FCI), which is multiplied by the area of the project site to produce a dimensionless ’functional capacity unit‘ (FCU). When HGM is properly used, compensatory mitigation is based on the FCUs lost that must be returned to the riverine landscape under statutory authority. 4. The HGM approach also provides a framework for long-term monitoring of mitigation success or failure and, if failing, a focus on topical remediation. 5. We conclude that HGM is a robust and easy method for protecting riparian wetlands, which are critically important components of alluvial river landscapes.     

The value of plant functional groups in demonstrating and communicating vegetation responses to environmental flows

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Translating Service Level Objectives to lower level policies for multi-tier services

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Hyperspectral Analysis of Columbia Spotted Frog Habitat

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Irrigators’ attitudes towards environmental flows for wetlands in the Murrumbidgee, Australia

In Australia and many countries worldwide environmental flows are becoming an increasingly popular tool for reducing the negative impacts of river regulation. However, there are many factors that restrict the effectiveness of these flows such as thermal pollution, existing physical infrastructure and the limited volume of water available. Since environmental flows result in reduced water allocations for irrigators, the aim of the present study was to investigate whether irrigators’ attitudes towards environmental flows for wetlands are influenced by the effectiveness of these flows. Three focus groups were used to engage with farmers in the Murrumbidgee Catchment, eastern Australia. A simulation model of the Murrumbidgee River was created to provide focus groups with a tool for examining the effectiveness of wetland-watering releases and exploring alternative management scenarios. The results showed that participants support the principle of environmental flows for wetlands. However, they believed that the flows could be more effective if the restrictions imposed by physical infrastructure were removed. They also suggested that the volume of translucency releases should be lowered, as these flows reduce the amount of water available for wetlands and lower early season allocations for general-security water users. The participants provided numerous suggestions for altering the management of water resources so that both the Mid Murrumbidgee Wetlands and farmers would benefit.

湿地景观生态分类研究进展

湿地景观生态分类是湿地景观生态学研究的前提与基础,直接影响湿地研究结果的精度和有效性.基于国内外湿地景观生态分类在分类理论、分类指标、分类方法等方面的研究历史、现状与最新进展,本文系统介绍并评价了NWI、Ramsar、HGM等湿地分类体系,指出基于HGM分类思想以及综合考量湿地空间结构、生态功能、生态过程、地形、土壤、植被、水文、人类活动干扰强度等多种因素的混合分类方法是该研究领域未来发展的主要方向.集成运用3S技术、数学定量、景观模型、知识工程、人工智能、神经网络等多种方法以提高分类的自动化水平与精度,将是今后湿地景观生态分类研究的重点与难点.     

Hydrogeomorphology,environment, and vegetation associations across a latitudinal gradient in highland wetlands of the northeastern USA

Undisturbed, highland wetlands in the northeastern USA are unique habitats which maintain ecological integrity in this region. These ecosystems may be threatened by a changing environment. To protect, restore, and create these wetlands, an understanding of the relationship between vegetation composition, environmental regime, and the underlying hydrogeomorphology is needed. Using a hydrogeomorphic (HGM) classification scheme, we analyzed the environmental regime and vegetation in groundwater and small-order, stream-fed wetlands in the Adirondacks and Catskills of New York, the Appalachians of Pennsylvania and of Virginia and West Virginia. The similarity of environmental regime and then species composition between wetlands across and within regions were analyzed using ordination and cluster analysis. Plant associations and distinguishing factors were determined. Within a region, wetlands with similar environmental regime or species composition were often grouped by HGM subclass. Beaver influence and groundwater sources may account for discrepancies between HGM and community composition. Similarly structured plant associations across regions included Acer/herbaceous wetlands, Acer/Fraxinus slopes, and Acer/Tsuga/herbaceous wetlands. Plant associations were primarily distinguished by soils in the Adirondacks, soils and hydrology in the Catskills, spatial location and disturbance in Pennsylvania, and spatial location in Virginia. Regional differences and non-environmental drivers of species composition will modify generalized relationships between hydrogeomorphology, environmental regime, and species composition and should be accounted for in wetland design and management activities.     

Learning-aided predictor integration for system performance prediction

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Language processing with dynamic fields

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Best practices for improved governance of coral reef marine protected areas

Coral reef marine protected areas (MPA) are widely distributed around the globe for social and ecological reasons. Relatively few of these MPAs are well managed. This review examines the governance of coral reef MPAs and the means to improve coral reef MPA management. It highlights common governance challenges, such as confused goals, conflict, and unrealistic attempts to scale up beyond institutional capacity. Recommendations, based on field experience and empirical evidence from around the world, are made for best practices at various stages of MPA implementation.

Mapping pre-European settlement vegetation at fine resolutions using a hierarchical Bayesian model and GIS

In the Midwestern United States, the General Land Office (GLO) survey records provide the only reasonably accurate data source of forest composition and tree species distribution at the time of pre-European settlement (circa late 1800 to early 1850). However, GLO data have two fundamental limitations: coarse spatial resolutions (the square mile section and half mile distance between quarter corner and section corner) and point data format, which are insufficient to describe vegetation that is continuously distributed over the landscape. Thus, geographic information system and statistical inference methods to map GLO data and reconstruct historical vegetation are needed. In this study, we applied a hierarchical Bayesian approach that combines species and environment relationships and explicit spatial dependence to map GLO data. We showed that the hierarchical Bayesian approach (1) is effective in predicting historical vegetation distribution, (2) is robust at multiple classification levels (species, genus, and functional groups), (3) can be used to derive vegetation patterns at fine resolutions (e.g., in this study, 120 m) when the corresponding environmental data exist, and (4) is applicable to relatively moderate map sizes (e.g., 792 × 763 pixels) due to the limitation of computational capacity. Our predictions of historical vegetation from this study provide a quantitative and spatial basis for restoration of natural floodplain vegetation. An important assumption in this approach is that the current environmental covariates can be used as surrogates for the historical environmental covariates, which are often not available. Our study showed that terrain and soil covariates least affected by past natural and anthropogenic alternations can be used as covariates for GLO vegetation mapping.

Mapping the geographic distribution of <Emphasis Type="Italic">Aglaia bourdillonii</Emphasis> Gamble (Meliaceae), an endemic and threatened plant,using ecological niche modeling

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Liberal and Conservative Protestant Denominations as Different Socioecological Strategies

It is common to portray conservative and liberal Protestant denominations as “strong” and “weak” on the basis of indices such as church attendance. Alternatively, they can be regarded as qualitatively different cultural systems that coexist in a multiple-niche environment. We integrate these two perspectives with a study of American teenagers based on both one-time survey information and the experience sampling method (ESM), which records individual experience on a moment-by-moment basis. Conservative Protestant youth were found to be more satisfied, family-oriented, and sociable than liberal Protestant youth, but also more dependent on their social environment, which is reflected in a deterioration of their mood when they are alone. Liberal Protestant youth appear to have internalized values that remain constant whether in the presence or absence of others. We relate these results to the social scientific literature on liberalism and conservatism and to evolutionary theory as a framework for explaining cultural systems as adaptations to multiple-niche environments.