A PRELIMINARY HABITAT SUITABILITY ANALYSIS FOR THE RESTORATION OF SOUTH CHINA TIGERS IN THE HUPINGSHAN RESERVE, CHINA

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WIND POWER SUITABILITY ANALYSIS FOR THE GULF OF MAINE

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A GIS SUITABILITY ANALYSIS OF WOLF HABITAT IN MAINE

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VIEWSHED ANALYSIS OF THE LANDS OF THE BELGRADE REGIONAL CONSERVATION ALLIANCE

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Paleoenvironmental analysis of a late-holocene subfossil Coleopteran fauna from Starks, Maine

The Sandy River in central Maine Is flanked along much of its length by low terraces. Approximately 100 kg of sediment from one terrace in Starks, Somerset County, Maine was wet-sieved in the field. Over 1100 subfossil Coleoptera were recovered representing 53 individual species of a total of 99 taxa. Wood associated with the fauna is 2000 +/-80 14C Yr in age (1-16,038). The fauna is dominated by species characteristic of habitats apparent in modern central Maine. The subfossil assemblage is indicative of a wide vartety of environments including open ground (e.g., Harpalus pensylvanicus), dense forest (e.g., pterostichus honestus), aquatic environments (e.g., Gyrinus, Helophorus), riparian environments with sand and gravel substrates (e.g., Bembidion inaequale, Schizogenius lineolatus), and moist, organic-rich terrestrial environments (e.g., Micropeplus sculptus). The ecological requirements for each taxon permit an environmental reconstruction suggesting an area vegetationally, climatically, and ecologically similar to that of the Sandy River today. The lowest terraces apparently represent the modern-day floodplain of the Sandy River. An average sedimentation rate of l.00 to 1.04 mm per year has been inferred based on radiocarbon dates here and elsewhere on the Sandy River. The Coleopteran fauna suggests that sand and gravel were distinctly abundant, and that the aggradation of point bars, as seen today, contributed to the flood history. Lateral bank erosion of the modern Sandy River accelerated after the State of Maine mandated cessation of bar removal in 1975: flood severity has dramatically increased since that time. Implications suggest that mining of the bars may be necessary to minimize future flooding problems.

Stochastic Assessment Of Environmental Flows In Semiarid Environments

The regimen of environmental flows (EF) must be included as terms of environmental demand in the management of water resources. Even though there are numerous methods for the computation of EF, the criteria applied at different steps in the calculation process are quite subjective whereas the results are fixed values that must be meet by water planners. This study presents a friendly-user tool for the assessment of the probability of compliance of a certain EF scenario with the natural regimen in a semiarid area in southern Spain. 250 replications of a 25-yr period of different hydrological variables (rainfall, minimum and maximum flows, ...) were obtained at the study site from the combination of Monte Carlo technique and local hydrological relationships. Several assumptions are made such as the independence of annual rainfall from year to year and the variability of occurrence of the meteorological agents, mainly precipitation as the main source of uncertainty. Inputs to the tool are easily selected from a first menu and comprise measured rainfall data, EF values and the hydrological relationships for at least a 20-yr period. The outputs are the probabilities of compliance of the different components of the EF for the study period. From this, local optimization can be applied to establish EF components with a certain level of compliance in the study period. Different options for graphic output and analysis of results are included in terms of graphs and tables in several formats. This methodology turned out to be a useful tool for the implementation of an uncertainty analysis within the scope of environmental flows in water management and allowed the simulation of the impacts of several water resource development scenarios in the study site.

The Potential Of Kohonen Method For Classifying Rivers Focused On Regional Environmental Flow Determination With ELOHA

This article highlights the potential benefits that the Kohonen method has for the classification of rivers with similar characteristics by determining regional ecological flows using the ELOHA (Ecological Limits of Hydrologic Alteration) methodology. Currently, there are many methodologies for the classification of rivers, however none of them include the characteristics found in Kohonen method such as (i) providing the number of groups that actually underlie the information presented, (ii) used to make variable importance analysis, (iii) which in any case can display two-dimensional classification process, and (iv) that regardless of the parameters used in the model the clustering structure remains. In order to evaluate the potential benefits of the Kohonen method, 174 flow stations distributed along the great river basin “Magdalena-Cauca” (Colombia) were analyzed. 73 variables were obtained for the classification process in each case. Six trials were done using different combinations of variables and the results were validated against reference classification obtained by Ingfocol in 2010, whose results were also framed using ELOHA guidelines. In the process of validation it was found that two of the tested models reproduced a level higher than 80% of the reference classification with the first trial, meaning that more than 80% of the flow stations analyzed in both models formed invariant groups of streams.

Analysis Of Semi-Distributed And Global Hydrological Models In The Central Tropical Basins Of The Gulf Of Mexico To The Effects Of Extreme Hydrometeorological Phenomena

In the last years extreme hydrometeorological phenomena have increased in number and intensity affecting the inhabitants of various regions, an example of these effects are the central basins of the Gulf of Mexico (CBGM) that they have been affected by 55.2% with floods and especially the state of Veracruz (1999-2013), leaving economic, social and environmental losses. Mexico currently lacks sufficient hydrological studies for the measurement of volumes in rivers, since is convenient to create a hydrological model (HM) suited to the quality and quantity of the geographic and climatic information that is reliable and affordable. Therefore this research compares the semi-distributed hydrological model (SHM) and the global hydrological model (GHM), with respect to the volumes of runoff and achieve to predict flood areas, furthermore, were analyzed extreme hydrometeorological phenomena in the CBGM, by modeling the Hydrologic Modeling System (HEC-HMS) which is a SHM and the Modèle Hydrologique Simplifié à I'Extrême (MOHYSE) which is a GHM, to evaluate the results and compare which model is suitable for tropical conditions to propose public policies for integrated basins management and flood prevention. Thus it was determined the temporal and spatial framework of the analyzed basins according to hurricanes and floods. It were developed the SHM and GHM models, which were calibrated, validated and compared the results to identify the sensitivity to the real model. It was concluded that both models conform to tropical conditions of the CBGM, having MOHYSE further approximation to the real model. Worth mentioning that in Mexico there is not enough information, besides there are no records of MOHYSE use in Mexico, so it can be a useful tool for determining runoff volumes. Finally, with the SHM and the GHM were generated climate change scenarios to develop risk studies creating a risk map for urban planning, agro-hydrological and territorial organization.

Investigating The Sources Of Fresh Water Affecting The Hydrological Balance Of Lakes Enriquillo And Azuei (Hispaniola) – Data Analysis

The Enriquillo and Azuei are saltwater lakes located in a closed water basin in the southwestern region of the island of La Hispaniola, these have been experiencing dramatic changes in total lake-surface area coverage during the period 1980-2012. The size of Lake Enriquillo presented a surface area of approximately 276 km2 in 1984, gradually decreasing to 172 km2 in 1996. The surface area of the lake reached its lowest point in the satellite observation record in 2004, at 165 km2. Then the recent growth of the lake began reaching its 1984 size by 2006. Based on surface area measurement for June and July 2013, Lake Enriquillo has a surface area of ~358 km2. Sumatra sizes at both ends of the record are 116 km2 in 1984 and 134 km2in 2013, an overall 15.8% increase in 30 years. Determining the causes of lake surface area changes is of extreme importance due to its environmental, social, and economic impacts. The overall goal of this study is to quantify the changing water balance in these lakes and their catchment area using satellite and ground observations and a regional atmospheric-hydrologic modeling approach. Data analyses of environmental variables in the region reflect a hydrological unbalance of the lakes due to changing regional hydro-climatic conditions. Historical data show precipitation, land surface temperature and humidity, and sea surface temperature (SST), increasing over region during the past decades. Salinity levels have also been decreasing by more than 30% from previously reported baseline levels. Here we present a summary of the historical data obtained, new sensors deployed in the sourrounding sierras and the lakes, and the integrated modeling exercises. As well as the challenges of gathering, storing, sharing, and analyzing this large volumen of data in a remote location from such a diverse number of sources.

RWater – A Cyber Enabled Tool For Hydrologic Modeling And Analysis

Existing distributed hydrologic models are complex and computationally demanding for using as a rapid-forecasting policy-decision tool, or even as a class-room educational tool. In addition, platform dependence, specific input/output data structures and non-dynamic data-interaction with pluggable software components inside the existing proprietary frameworks make these models restrictive only to the specialized user groups. RWater is a web-based hydrologic analysis and modeling framework that utilizes the commonly used R software within the HUBzero cyber infrastructure of Purdue University. RWater is designed as an integrated framework for distributed hydrologic simulation, along with subsequent parameter optimization and visualization schemes. RWater provides platform independent web-based interface, flexible data integration capacity, grid-based simulations, and user-extensibility. RWater uses RStudio to simulate hydrologic processes on raster based data obtained through conventional GIS pre-processing. The program integrates Shuffled Complex Evolution (SCE) algorithm for parameter optimization. Moreover, RWater enables users to produce different descriptive statistics and visualization of the outputs at different temporal resolutions. The applicability of RWater will be demonstrated by application on two watersheds in Indiana for multiple rainfall events.

Decision Support Systems And Promoting Socially Just Environmental Management

The Mauri Model DMF is unique in its approach to the management of water resources as the framework offers a transparent and inclusive approach to considering the environmental, economic, social and cultural aspects of the decisions being contemplated. The Mauri Model DMF is unique because it is capable of including multiple-worldviews and adopts mauri (intrinsic value or well-being) in the place of the more common monetised assessments of pseudo sustainability using Cost Benefit Analysis. The Mauri Model DMF uses a two stage process that first identifies participants’ worldviews and inherent bias regarding water resource management, and then facilitates transparent assessment of selected sustainability performance indicators. The assessment can then be contemplated as the separate environmental, economic, social and cultural dimensions of the decision, and collectively as an overall result; or the priorities associated with different worldviews can be applied to determine the sensitivity of the result to different cultural contexts or worldviews.

Análise comparativa da eficiência operacional entre bancos comerciais operando no Brasil e em economias desenvolvidas, utilizando o modelo não paramétrico de data envelopment analysis

O presente trabalho visa comparar, através do modelo de Data Envelopment Analysis orientado a inputs, a eficiência dos bancos comerciais que atuam em economias desenvolvidas dos países do G10 com a eficiência dos bancos comerciais que atuam no mercado brasileiro. Primeiramente, os bancos são comparados utilizando-se um modelo ‘simples’, que considera somente os resultados das operações de cada banco e não contempla as características econômicas e regulatórias de cada mercado. Na sequência, um modelo ‘completo’ é introduzido, incorporando as características do ambiente de negócios de cada país, além dos resultados de cada banco. Os resultados obtidos evidenciam que as variáveis ambientais exercem grande influência na eficiência da indústria bancária. Os bancos que atuam no Brasil, de forma geral, mostraram-se mais eficientes do que os bancos que atuam nas economias mais desenvolvidas, quando consideramos o impacto das variáveis ambientais na eficiência das instituições.

The influence of the supply chain agents on the new product development's performance: an analysis based on the multi-group moderation

Este estudo buscou verificar a influencia dos agentes da cadeia de suprimentos no desempenho do desenvolvimento de novos produtos quando os agentes são analisados em conjunto. A motivação desta pesquisa veio de estudos que alertaram para a consideração da integração da cadeia de suprimentos como um constructo multidimensional, englobando o envolvimento da manufatura, fornecedores e clientes no desenvolvimento de novos produtos; e devido à falta de informação sobre as influencias individuais destes agentes no desenvolvimento de novos produtos. Sob essas considerações, buscou-se construir um modelo analítico baseado na Teoria do Capital Social e Capacidade Absortiva, construir hipóteses a partir da revisão da literatura e conectar constructos como cooperação, envolvimento do fornecedor no desenvolvimento de novos produtos (DNP), envolvimento do cliente no DNP, envolvimento da manufatura no DNP, antecipação de novas tecnologias, melhoria contínua, desempenho operacional do DNP, desempenho de mercado do NPD e desempenho de negócio do DNP. Para testar as hipóteses foram consideradas três variáveis moderadoras, tais como turbulência ambiental (baixa, média e alta), indústria (eletrônicos, maquinários e equipamentos de transporte) e localização (América, Europa e Ásia). Para testar o modelo foram usados dados do projeto High Performance Manufacturing que contém 339 empresas das indústrias de eletrônicos, maquinários e equipamentos de transporte, localizadas em onze países. As hipóteses foram testadas por meio da Análise Fatorial Confirmatória (AFC) incluindo a moderação muti-grupo para as três variáveis moderadoras mencionadas anteriormente. Os principais resultados apontaram que as hipóteses relacionadas com cooperação foram confirmadas em ambientes de média turbulência, enquanto as hipóteses relacionadas ao desempenho no DNP foram confirmadas em ambientes de baixa turbulência ambiental e em países asiáticos. Adicionalmente, sob as mesmas condições, fornecedores, clientes e manufatura influenciam diferentemente no desempenho de novos produtos. Assim, o envolvimento de fornecedores influencia diretamente no desempenho operacional e indiretamente no desempenho de mercado e de negócio em baixos níveis de turbulência ambiental, na indústria de equipamentos de transporte em países da Americanos e Europeus. De igual forma, o envolvimento do cliente influenciou diretamente no desempenho operacional e indiretamente no desempenho de mercado e do negócio em médio nível de turbulência ambiental, na indústria de maquinários e em países Asiáticos. Fornecedores e clientes não influenciam diretamente no desempenho de mercado e do negócio e não influenciam indiretamente no desempenho operacional. O envolvimento da manufatura não influenciou nenhum tipo de desempenho do desenvolvimento de novos produtos em todos os cenários testados.

Comparison and analysis of corporate social responsibility (CSR) reports of the top five companies ranked on the 2013 CSR RepTrak

In the 1970s, Corporate Social Responsibility (CSR) was discussed by Nobel laureate Milton Friedman in his article “The Social Responsibility of Business Is to Increase Its Profits.” (Friedman, 1970). His view on CSR was contemptuous as he referred to it as “hypocritical window-dressing” a reflection of the view of Corporate America on CSR back then. For a long time short-term maximization of shareholder value was the only maxim for top management across industries and companies. Over the last decade, CSR has become a more important and relevant factor of a company’s reputation, shifting the discussion from whether CSR is necessary to how best CSR commitments should be done (Smith, 2003). Inevitably, companies do have an environmental, social and economic impact, thereby imposing social costs on current and future generations. In 2013, 50 of the world biggest companies have been responsible for 73 percent of the total carbon dioxide (CO2) emission (Global 500 Climate Change Report 2013). Post et al. (2002) refer to these social costs as a company’s need to retain its “license to operate”. In the late 1990s, CSR reporting was nearly unknown, which drastically changed during the last decade. Allen White, co-founder of the Global Reporting Initiative (GRI), said that CSR reporting”… has evolved from the extraordinary to the exceptional to the expected” (Confino, 2013). In confirmation of this, virtually all of the world’s largest 250 companies report on CSR (93%) and reporting by now appears to be business standard (KPMG, 2013). CSR reports are a medium for transparency which may lead to an improved company reputation (Noked, 2013; Thorne et al, 2008; Wilburn and Wilburn, 2013). In addition, it may be used as part of an ongoing shareholder relations campaign, which may prevent shareholders from submitting Environmental and Social (E&S)1 proposals (Noked, 2013), based on an Ernst & Young report 1 The top five E&S proposal topic areas in 2013 were: 1. Political spending/ lobbying; 2. Environmental sustainability; 3. Corporate diversity/ EEO; 4.Labor/ human rights and 5. Animal testing/ animal welfare. Three groups of environmental sustainability proposal topics of sub-category number two (environmental sustainability) 6 2013, representing the largest category of shareholder proposals submitted. PricewaterhouseCoopers (PwC) even goes as far as to claim that CSR reports are “…becoming critical to a company’s credibility, transparency and endurance.” (PwC, 2013).

The impact of negative social environmental events on the market value of supply chain partners

The present work analyzes the impact of negative social / environmental events on the market value of supply chain partners. The study offers a contextualized discussion around important concepts which are largely employed on the Operations Management and Management literature in general. Among them, the developments of the literature around supply chains, supply chain management, corporate social responsibility, sustainable development and sustainable supply chain management are particularly addressed, beyond the links they share with competitive advantage. As for the theoretical bases, the study rests on the Stakeholder Theory, on the discussion of the efficient-market hypothesis and on the discussion of the adjustment of stock prices to new information. In face of such literature review negative social / environmental events are then hypothesized as causing negative impact in the market value of supply chain partners. Through the documental analysis of publicly available information around 15 different cases (i.e. 15 events), 82 supply chain partners were identified. Event studies for seven different event windows were conducted on the variation of the stock price of each supply chain partner, valuing the market reaction to the stock price of a firm due to triggering events occurred in another. The results show that, in general, the market value of supply chain partners was not penalized in response to such announcements. In that sense, the hypothesis derived from the literature review is not confirmed. Beyond that, the study also provides a critical description of the 15 cases, identifying the companies that have originated such events and their supply chain partners involved.