994 resultados para environmental conflict
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This brochure contains information on the environmental information available at the Macbride Nature Recreation Area including programs on cycles and inter-relationships in nature, wildlife adaptations and survival, life in the forest community, patterns and changes in autumn, flowers insects and the renewal of spring, lives of birds and raptor information geared for elementary aged children.
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The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.
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Elections play a crucial role in post-conflict peace and democratization processes as, among other factors, they provide an answer to the question of who is to legitimately rule the country. However, because of the competitiveness arising from their central role in allocating power they can also represent windows of vulnerability where deeply rooted societal conflicts can come to the surface. This working paper focuses on two post-conflict elections (Sierra Leone 2007; Nepal 2008) which, despite perceived high risks, did not result in widespread violence or a return to armed conflict. The aim of these case studies is to identify the factors and measures that may have played an important role in contributing to this outcome. Each of the two case studies first outlines the risks associated with the elections and then analyzes the violence and conflict preventing factors. The paper shows that that the context greatly influences the type of measures that can be taken in such situations, but that there are also some similarities in the two cases studied. In particular, it appears that that the credibility of the elections, largely attributable to a good electoral administration, was an important factor in both Nepal and Sierra Leone. Furthermore, the inclusion of all key stakeholders in decisions regarding key electoral institutions helped to diffuse potential conflict. The study also shows that in both cases the international community played an important role by providing financial, logistical and technical support and by pressuring certain important actors to comply with the rules.
Iowa Wetland Management District: Environmental Assessment and Draft Comprehensive Conservation Plan
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This Environmental Assessment documents the National Environmental Policy Act (NEPA) process for developing a Comprehensive Conservation Plan (CCP) for the Iowa Wetland Management District (WMD, district). In general, scoping reveals issues that drive alternative ways of managing the district. Implementation of each of those alternative management styles (including the No Action Alternative) may have different effects on the physical, biological, and socio-economic environment. Analysis of these effects reveals the “preferred” alternative, which constitutes the CCP. The CCP includes goals, objectives, and strategies for the district to guide overall management for the next 15 years. The Iowa WMD consists of scattered tracts of habitat (both wetland and upland grassland) known as Waterfowl Production Areas (WPAs). As of 2011, there are 75 WPAs in 18 counties in north-central Iowa totaling 24,712 acres in fee title primarily managed by the Iowa Department of Natural Resources (DNR). Even though district acquisition has only occurred in 18 counties to date, a larger 35-county boundary is approved. This boundary follows the historic range of the poorly drained Prairie Pothole Region (PPR) in Iowa, an area known for its waterfowl production. The district also includes 575 WPA acres and approximately 434 Farm Service Agency acres in conservation easements on private land. This plan was prepared with the intent that the strong partnership with the Iowa DNR will continue over the next 15 years.
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DESCRIPTION OF PROPOSED ACTION This Environmental Assessment (EA) has been prepared in compliance with the requirements of the National Environmental Policy Act of 1969 (NEPA). This EA informs the public and interested agencies of the proposed action and alternatives to the proposed action in order to gather feedback on the improvements under consideration. Proposed Action The Iowa Department of Transportation (Iowa DOT) and the Federal Highway Administration (FHWA) are evaluating potential alternatives to improve IA 122 in the City of Mason City. IA 122/Business US 18 is a primary east-west travel route through the City that transitions from a 4- lane undivided roadway, to 2-lane one-way pairs, then back to a 4-lane undivided roadway (Figure 1-1). The Iowa DOT proposes to flatten the tight reverse curves on the east end of the project. The one-way pairs will be narrowed by eliminating on-street parking along the corridor to more clearly define travel lanes. This will serve to calm traffic flows and reduce crashes along the highway. Additionally, improvements to intersections as well as consolidating or removing access points to improve traffic operations are proposed within the project corridor. A new access road for the Mason City Fire Department on the west end of the project will allow emergency trucks better access to travel south and east. Study Area The primary area of investigation for the Project is generally bounded by IA 122 through Mason City, known locally as 5th and 6th Street Southwest from South Monroe Avenue to South Carolina Avenue. US 65, known locally as Federal Avenue, bisects the study area. At this intersection of US 65 and Iowa 122, the 5th and 6th Street SW changes to 5th and 6th St SE. For the purposes of this discussion, this area will be referred to collectively as the IA 122 corridor. The Study Area boundaries were established to allow the development of a wide range of alternatives that could address the purpose and need for the project. The Study Area is larger than the area proposed for construction activities for the Project. However, some impacts may extend beyond the Study Area; where this occurs, it will be noted and addressed in the Environmental Analysis Section (Section 5). Figure 1-1 outlines the Study Area of the proposed action.
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Aim: Climatic niche modelling of species and community distributions implicitly assumes strong and constant climatic determinism across geographic space. This assumption had however never been tested so far. We tested it by assessing how stacked-species distribution models (S-SDMs) perform for predicting plant species assemblages along elevation. Location: Western Swiss Alps. Methods: Using robust presence-absence data, we first assessed the ability of topo-climatic S-SDMs to predict plant assemblages in a study area encompassing a 2800 m wide elevation gradient. We then assessed the relationships among several evaluation metrics and trait-based tests of community assembly rules. Results: The standard errors of individual SDMs decreased significantly towards higher elevations. Overall, the S-SDM overpredicted far more than they underpredicted richness and could not reproduce the humpback curve along elevation. Overprediction was greater at low and mid-range elevations in absolute values but greater at high elevations when standardised by the actual richness. Looking at species composition, the evaluation metrics accounting for both the presence and absence of species (overall prediction success and kappa) or focusing on correctly predicted absences (specificity) increased with increasing elevation, while the metrics focusing on correctly predicted presences (Jaccard index and sensitivity) decreased. The best overall evaluation - as driven by specificity - occurred at high elevation where species assemblages were shown to be under significant environmental filtering of small plants. In contrast, the decreased overall accuracy in the lowlands was associated with functional patterns representing any type of assembly rule (environmental filtering, limiting similarity or null assembly). Main Conclusions: Our study reveals interesting patterns of change in S-SDM errors with changes in assembly rules along elevation. Yet, significant levels of assemblage prediction errors occurred throughout the gradient, calling for further improvement of SDMs, e.g., by adding key environmental filters that act at fine scales and developing approaches to account for variations in the influence of predictors along environmental gradients.
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This guide provides a variety of tools that can help an educator, building staff or school district decide how to include environmental education in their curriculum.
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The paper presents the Multiple Kernel Learning (MKL) approach as a modelling and data exploratory tool and applies it to the problem of wind speed mapping. Support Vector Regression (SVR) is used to predict spatial variations of the mean wind speed from terrain features (slopes, terrain curvature, directional derivatives) generated at different spatial scales. Multiple Kernel Learning is applied to learn kernels for individual features and thematic feature subsets, both in the context of feature selection and optimal parameters determination. An empirical study on real-life data confirms the usefulness of MKL as a tool that enhances the interpretability of data-driven models.
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Historical exploitation of the Mediterranean Sea and the absence of rigorous baselines makes it difficult to evaluate the current health of the marine ecosystems and the efficacy of conservation actions at the ecosystem level. Here we establish the first current baseline and gradient of ecosystem structure of nearshore rocky reefs at the Mediterranean scale. We conducted underwater surveys in 14 marine protected areas and 18 open access sites across the Mediterranean, and across a 31-fold range of fish biomass (from 3.8 to 118 g m22). Our data showed remarkable variation in the structure of rocky reef ecosystems. Multivariate analysis showed three alternative community states: (1) large fish biomass and reefs dominated by non-canopy algae, (2) lower fish biomass but abundant native algal canopies and suspension feeders, and (3) low fish biomass and extensive barrens, with areas covered by turf algae. Our results suggest that the healthiest shallow rocky reef ecosystems in the Mediterranean have both large fish and algal biomass. Protection level and primary production were the only variables significantly correlated to community biomass structure. Fish biomass was significantly larger in well-enforced no-take marine reserves, but there were no significant differences between multi-use marine protected areas (which allow some fishing) and open access areas at the regional scale. The gradients reported here represent a trajectory of degradation that can be used to assess the health of any similar habitat in the Mediterranean, and to evaluate the efficacy of marine protected areas.
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France amended its constitution in 2005 to include a Charter for the Environment. The Charter lays out France's commitment to supporting the right to a 'balanced environment'. This article first traces the Charter's origins to a legacy-building presidential initiative. Jacques Chirac decided to invest in a neglected policy domain in which his own majority had shown little interest. He was obliged to intervene repeatedly in order to bring this project to a successful conclusion. In doing so, he staked out environmental affairs as an area of potential presidential supremacy. Next, the content of the Charter is examined. In this document, French traditions of universalism come together with an international movement for anticipatory environmental protection. This is reflected in the constitutionalisation of the precautionary principle, which emerged as the most controversial part of the Charter. The debates this provoked tended to caricature a risk-management principle whose meaning has been carefully refined to forestall objections. Finally, the Charter's potential efficacy is analysed. The post-Charter record of legislative and judicial activity concerning the environment is meagre, but not wholly inauspicious.
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Astonishing as it may seem, one organism's waste is often ideal food for another. Many waste products generated by human activities are routinely degraded by microorganisms under controlled conditions during waste-water treatment. Toxic pollutants resulting from inadvertent releases, such as oil spills, are also consumed by bacteria, the simplest organisms on Earth. Biodegradation of toxic or particularly persistent compounds, however, remains problematic. What has escaped the attention of many is that bacteria exposed to pollutants can adapt to them by mutating or acquiring degradative genes. These bacteria can proliferate in the environment as a result of the selection pressures created by pollutants. The positive outcome of selection pressure is that harmful compounds may eventually be broken down completely through biodegradation. The downside is that biodegradation may require extremely long periods of time. Although the adaptation process has been shown to be reproducible, it remains very difficult to predict.
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Selostus: Eräiden ympäristövirikkeiden saatavuuden estämisen välittömät vaikutukset tarhaminkin käyttäytymiseen
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Recent advances in remote sensing technologies have facilitated the generation of very high resolution (VHR) environmental data. Exploratory studies suggested that, if used in species distribution models (SDMs), these data should enable modelling species' micro-habitats and allow improving predictions for fine-scale biodiversity management. In the present study, we tested the influence, in SDMs, of predictors derived from a VHR digital elevation model (DEM) by comparing the predictive power of models for 239 plant species and their assemblages fitted at six different resolutions in the Swiss Alps. We also tested whether changes of the model quality for a species is related to its functional and ecological characteristics. Refining the resolution only contributed to slight improvement of the models for more than half of the examined species, with the best results obtained at 5 m, but no significant improvement was observed, on average, across all species. Contrary to our expectations, we could not consistently correlate the changes in model performance with species characteristics such as vegetation height. Temperature, the most important variable in the SDMs across the different resolutions, did not contribute any substantial improvement. Our results suggest that improving resolution of topographic data only is not sufficient to improve SDM predictions - and therefore local management - compared to previously used resolutions (here 25 and 100 m). More effort should be dedicated now to conduct finer-scale in-situ environmental measurements (e.g. for temperature, moisture, snow) to obtain improved environmental measurements for fine-scale species mapping and management.