Abstract

Road construction has often been viewed as the precursor to deforestation, especially in tropical forests. Traditional responses to such threats have been reactive, with attempts to mitigate impacts through physical measures, or the establishment of protected areas. These approaches often have not been entirely successful, especially in areas where economic potential is significant. This paper seeks to mitigate such conflicts by proposing a proactive approach to development planning and environmental policy. It develops a high-resolution spatial model of road improvement impacts that includes ecological risks and the economics of forest clearing. The approach is implemented by estimating the potential impact of road upgrading on forest clearing and biodiversity in eight Congo Basin countries. The paper demonstrates how the detailed analysis can identify areas of high ecological priority as well as areas at high risk of forest loss. The paper contributes to several aspects of the literature. First, it provides the most recent and reliable estimates of the drivers of deforestation in the Congo Basin, with the latest high-resolution satellite data on forest cover changes. Second, it presents novel estimates of biodiversity threats by creating an index that combines and synthesizes several measures of biodiversity loss and impacts. It then develops an empirical framework for estimating the ecological impacts of road improvement. Finally, the paper illustrates how the empirical framework can be used to preempt impacts and avoid potential ecological damage. Document type: Book

Abstract

The primary objective of the Southern Gobi Regional Environmental Assessment (REA) is to provide guidance for sustainable management of environmental resources in the future development of the Southern Gobi Region (SGR), development that will be led by rapid expansion of mining. The REA defines two development scenarios-a base-case and a high case-and explores their direct and indirect impacts on the natural environment, taking into account the opportunities, constraints, and vulnerabilities of the Gobi natural systems; the individual and cumulative direct environmental impacts and potential indirect impacts of the planned development; and, at a general level, the institutional capacity to manage the impacts. The REA target audience includes government officials at central, regional, and local levels; private sector investors and the consultants who are engaged for project design and environmental impact assessment; development finance organizations; and Mongolian civil society. This report was discussed in draft form at stakeholder workshops held in Ulaanbaatar and Dalanzagdad in April 2009 and has been revised to reflect comments received. Thanks are due to all those who joined those discussions. The report draws on information from workshops held in Mongolia, in May, September, and October 2008, and a field mission to the Southern Gobi Region in November 2008. Other information was obtained from various mining companies in Mongolia including Ivanhoe mines Mongolia, Inc., and its consultant Eco Trade; Rio Tinto; Energy Resources LLC; and South Gobi Sands.

Abstract

Traffic congestion continues to be a persistent problem throughout the world. As vehicle-to-vehicle communication develops, there is an opportunity of using cooperation among close proximity vehicles to tackle the congestion problem. The intuition is that if vehicles could cooperate opportunistically when they come close enough to each other, they could, in effect, spread themselves out among alternative routes so that vehicles do not all jam up on the same roads. Our previous work proposed a decentralized multiagent based vehicular congestion management algorithm entitled Congestion Avoidance and Route Allocation using Virtual Agent Negotiation (CARAVAN), wherein the vehicles acting as intelligent agents perform cooperative route allocation using inter-vehicular communication. This paper focuses on evaluating the practical applicability of this approach by testing its robustness and performance (in terms of travel time reduction), across variations in: (a) environmental parameters such as road network topology and configuration; (b) algorithmic parameters such as vehicle agent preferences and route cost/preference multipliers; and (c) agent-related parameters such as equipped/non-equipped vehicles and compliant/non-compliant agents. Overall, the results demonstrate the adaptability and robustness of the decentralized cooperative vehicles approach to providing global travel time reduction using simple local coordination strategies. Document type: Article

Abstract

Background: Most complicated and/or chronic wounds in veterinary medicine present a significant degree of inflammation in conjunction with local or systemic colonization or infection.Aim: To describe the validation of the instillation technique Advanced Management of Veterinary Wounds (MAHVET).Methods: A cross-sectional observational study was carried out to evaluate the validity of the technique. Forty-seven patients were included in the period 2018-2021.Results: 96 % of the patients seen were domestic dogs, bites accounted for almost half of the cases seen (46.81 %). The MAHVET Instillation Technique consists of a constant instillation therapy for management of colonized or infected wounds in veterinary medicine.Conclusions: The MAHVET Instillation Technique is considered a practical, economical tool with enormous benefits in the management of colonized or infected wounds; by using non-adherent interface, dressing removal pain is avoided and, by using antiseptics, damage to the perilesional skin is avoided and pain is reduced locally by instilling local anesthetics in an artisanal manner.