Tax reforms and inequality: theoretical and empirical implications

In this paper we examine the effect of tax policy on the relationship between inequality and growth in a two-sector non-scale model. With non-scale models, the longrun equilibrium growth rate is determined by technological parameters and it is independent of macroeconomic policy instruments. However, this fact does not imply that fiscal policy is unimportant for long-run economic performance. It indeed has important effects on the different levels of key economic variables such as per capita stock of capital and output. Hence, although the economy grows at the same rate across steady states, the bases for economic growth may be different.The model has three essential features. First, we explicitly model skill accumulation, second, we introduce government finance into the production function, and we introduce an income tax to mirror the fiscal events of the 1980¿s and 1990¿s in the US. The fact that the non-scale model is associated with higher order dynamics enables it to replicate the distinctly non-linear nature of inequality in the US with relative ease. The results derived in this paper attract attention to the fact that the non-scale growth model does not only fit the US data well for the long-run (Jones, 1995b) but also that it possesses unique abilities in explaining short term fluctuations of the economy. It is shown that during transition the response of the relative simulated wage to changes in the tax code is rather non-monotonic, quite in accordance to the US inequality pattern in the 1980¿s and early 1990¿s.More specifically, we have analyzed in detail the dynamics following the simulation of an isolated tax decrease and an isolated tax increase. So, after a tax decrease the skill premium follows a lower trajectory than the one it would follow without a tax decrease. Hence we are able to reduce inequality for several periods after the fiscal shock. On the contrary, following a tax increase, the evolution of the skill premium remains above the trajectory carried on by the skill premium under a situation with no tax increase. Consequently, a tax increase would imply a higher level of inequality in the economy

Tax reforms and inequality: theoretical and empirical implications

In this paper we examine the effect of tax policy on the relationship between inequality and growth in a two-sector non-scale model. With non-scale models, the longrun equilibrium growth rate is determined by technological parameters and it is independent of macroeconomic policy instruments. However, this fact does not imply that fiscal policy is unimportant for long-run economic performance. It indeed has important effects on the different levels of key economic variables such as per capita stock of capital and output. Hence, although the economy grows at the same rate across steady states, the bases for economic growth may be different.The model has three essential features. First, we explicitly model skill accumulation, second, we introduce government finance into the production function, and we introduce an income tax to mirror the fiscal events of the 1980¿s and 1990¿s in the US. The fact that the non-scale model is associated with higher order dynamics enables it to replicate the distinctly non-linear nature of inequality in the US with relative ease. The results derived in this paper attract attention to the fact that the non-scale growth model does not only fit the US data well for the long-run (Jones, 1995b) but also that it possesses unique abilities in explaining short term fluctuations of the economy. It is shown that during transition the response of the relative simulated wage to changes in the tax code is rather non-monotonic, quite in accordance to the US inequality pattern in the 1980¿s and early 1990¿s.More specifically, we have analyzed in detail the dynamics following the simulation of an isolated tax decrease and an isolated tax increase. So, after a tax decrease the skill premium follows a lower trajectory than the one it would follow without a tax decrease. Hence we are able to reduce inequality for several periods after the fiscal shock. On the contrary, following a tax increase, the evolution of the skill premium remains above the trajectory carried on by the skill premium under a situation with no tax increase. Consequently, a tax increase would imply a higher level of inequality in the economy

Assessing alpine plant vulnerability to climate change: A modeling perspective

The potential ecological impact of ongoing climate change has been much discussed. High mountain ecosystems were identified early on as potentially very sensitive areas. Scenarios of upward species movement and vegetation shift are commonly discussed in the literature. Mountains being characteristically conic in shape, impact scenarios usually assume that a smaller surface area will be available as species move up. However, as the frequency distribution of additional physiographic factors (e.g., slope angle) changes with increasing elevation (e.g., with few gentle slopes available at higher elevation), species migrating upslope may encounter increasingly unsuitable conditions. As a result, many species could suffer severe reduction of their habitat surface, which could in turn affect patterns of biodiversity. In this paper, results from static plant distribution modeling are used to derive climate change impact scenarios in a high mountain environment. Models are adjusted with presence/absence of species. Environmental predictors used are: annual mean air temperature, slope, indices of topographic position, geology, rock cover, modeled permafrost and several indices of solar radiation and snow cover duration. Potential Habitat Distribution maps were drawn for 62 higher plant species, from which three separate climate change impact scenarios were derived. These scenarios show a great range of response, depending on the species and the degree of warming. Alpine species would be at greatest risk of local extinction, whereas species with a large elevation range would run the lowest risk. Limitations of the models and scenarios are further discussed.

Das Auerhuhn im Jura: Qualität des Lebensraum, Demographie, Habitatwahl und nicht-invasive genetische Untersuchungen

Most Central European Capercaillie populations have been declining during the last century. In the Jura Mountains, at the border between Switzerland and France, remaining Capercaillie populations are now isolated and endangered. In this study, land-use and Capercaillie presence data were used to identify key landscape parameters by logistic regression modelling. We found that Capercaillie prefers areas at the highest altitude in the Jura Mountains that are characterised by continous forests and stands with intermediate canopy cover. At the local scale, winter habitat selection revealed a preference for open forests with a sparse canopy cover dominated by spruce and fir. Capercaillie avoided dense undercanopy and understorey, especially when dominated by beech. Population viability and sensitivity analyses underlined the crucial importance of adult female survival, chick survival and breeding success for populations maintenance. Legal bases, scientific knowledge and technical measures are now available to conserve the flagship species Capercaillie within Jura Mountains. Capercaillie-adapted forestry requires a mosaic distribtution of habitat types, with a matrix of open forests where fir is favoured, and understorey kept sparse. Preliminary essays indicate that grouse-adapted forestry costs are similar or even lower than present costs. To increase survival and breeding sucess, one option is to diminish human distrubance by limiting access to Capercailllie breeding and wintering areas. An action plan for the species should avoid more costly and intensive approaches such as the reintroduction of birds from other populations. Capercaillie conservaiton represents a major challenge rising from various and contradictory leisure, tourist and rural development activities. Collaborations with different stakeholders and state agencies for forestry with an effective protection from human distrubance.

Evaluation des pratiques d'irrigation, de fertilisation et d'application de pesticides dans l'agriculture périurbaine de Dakar, Sénégal

RESUMEL'agriculture urbaine et périurbalne - nommée ci-après AU - est un thème fort de recherche transversale, au vu des nombreux enjeux économiques, sociaux et environnementaux. L'objectif de cette recherche était de contribuer à une meilleure connaissance des processus de transfert de polluants et du cycle des nutriments à l'échelle locale, afin de déterminer sous quelles conditions l'AU de Dakar peut être pratiquée sans porter atteinte à la santé et à l'environnement.Une approche basée sur l'étude des processus géochimiques dans ie sol jusqu'à la nappe a été choisie, à l'échelle de la parcelle cultivée et à une échelle un peu plus large de la zone périurbaine de Dakar pour déterminer les influences du type d'occupation du sol.L'évaluation des impacts de l'irrigation avec des eaux usées brutes et des eaux de nappe saumâtres sur la qualité des sols (chapitre 2) a montré que l'alcalinité et les teneurs en calcium élevées des eaux saumâtres induisent la précipitation de CaC03 dans l'horizon superficiel du sol. Na remplace consécutivement Ca sur le complexe argilo-humique du sol et les bicarbonates diminuent dans la solution du sol. Le carbone organique dissout (COD) augmente significativement dans la solution du sol et dans la nappe sous-jacente. Malgré l'alcalinité et les teneurs très élevées en calcium des eaux usées, il y a peu de précipitation de CaC03 dans l'horizon superficiel du sol et une faible augmentation du sodium échangeable ESP. La nitrification de l'ammonium des eaux usées (moy 190mg/L à Pikine) produit des protons, qui ne sont plus tamponnés par les bicarbonates exportés hors du profil. Il y a alors une nette baisse de pH des sols irrigués par des eaux usées non traitées. Les sols irrigués par des eaux usées et saumâtres stockent moins de C et Ν que les sols de référence.L'évaluation de l'influence de l'occupation des sols en zone périurbaine sur à la nappe phréatique peu profonde (chapitre 3) a permis de déterminer les traceurs représentatifs de l'occupation du sol, à savoir Br/CI, NO3/CI et δ180-Ν03 pour l'irrigation par des eaux usées, pH et δ15Ν-Ν03 pour l'irrigation par des eaux de nappe, et Rb+Cr et Κ pour les lixiviats de fosses septiques. Ce chapitre a mis en évidence des points importants de la dynamique de l'azote en zone périurbaine sous deux occupations du sol : (1) la dénitrification est un processus important dans l'agrosystème périurbain de Dakar en bas de dune, dans les gleysols où l'on trouve des conditions temporairement réduites et un substrat organique favorables aux microorganismes de la dénitrification. Les teneurs en nitrates sont presque nulles avec irrigation d'eau de nappe. (2) en bas de pente, mais avec irrigation quotidienne par les eaux usées, l'apport continu d'ammonium inhibe probablement la dénitrification, mais favorise la volatilisation. (3) la nitrification de l'ammonium dans la nappe lors de la lixiviation des fosses septiques se distingue de la nitrification de l'ammonium dans la zone non saturée dans la zone d'agriculture périurbaine par la composition isotopique de l'oxygène de l'eau. Une comparaison des flux d'azote entre l'agrosystème et les quartiers périurbains de Dakar (chapitre 4) ont révélé que ces derniers étaient du même ordre de grandeur par unité de surface, à savoir 2-4 tonnes Ν /ha/an.L'évaluation des flux de pesticides dans l'agrosystème et des risques induits pour les eaux souterraines (chapitre 5) a révélé un fiux total de pesticides de 60kg/ha/an, totalisant 15 matières actives. Seules deux de ces matières actives sont autorisées par le comité des pesticides sahélien. Les pesticides les plus utilisés par les producteurs sont l'organochloré dicofol, les organophosphorés methamidophos, dimethoate et fenithrotion ainsi que le cabamate methomyl. Les flux les plus importants sont de 9 à 7 kg/ha/an (methomyl, methamidophos, ethoprophos et dicofol). Les pesticides qui présentent un risque élevé de contamination des eaux souterraines et qui devraient être prioritaires pour un suivi analytique sont : le carbofuran, le dimethoate, l'ethoprophos et le methomyl.En conclusion, une meilleure gestion de la fertilisation est nécessaire dans la zone d'AU de Dakar, afin de (1) réduire les pertes gazeuses qui contribuent à l'effet de serre, (2) de ralentir la minéralisation du carbone et de l'azote organiques pour créer un stock de C et Ν dans ces sols, (3) de limiter le lessivage dans la nappe et enfin, 4) d'augmenter l'efficacité d'utilisation de Ν par les plantes. Une optimisation de l'irrigation devrait limiter l'alcalinisation secondaire. Enfin, la mise en place d'une lutte intégrée ou biologique contre les ravageurs est indispensable afin de minimiser les risques pour les eaux souterraines et les mares permanentes.ABSTRACTUrban and periurban agriculture (UA) is an important issue in southern countries, because of its key role in their social and economical development and its environmental concern. The goal of this study was to contribute to a better understanding of pollutant transfer and nutrient cycling at the local scale, in order to implement the necessary improvements to guarantee the sustainability of this practice.An approach based on geochemical processes occurring in the vadose zone from the surface down to the groundwater level was chosen, at the scale of cultivated plots and at the regional scale of Dakar periurban areas, to determine the influence of land use.The assessment of irrigation with untreated domestic wastewater and brackish water on soil quality (chapter 2) showed: (1) that the high alkalinity and calcium contents of brackish water induce CaC03 precipitation in the top layer of the soil and therefore a replacement of Ca by Na on the clay- humic complexes, strongly marked during the dry season. Dissolved organic carbon (DOC) increased significantly in the soil solution and in the underlying groundwater. (2) in spite of the similarly high alkalinity and Ca contents of waste water, there is only little CaC03 precipitation and a low increase of the percentage of exchangeable sodium (ESP) in the soil top layer. The nitrification of the ammonium of wastewater (mean 190 mg/L in Pikine) produces protons, which are not any more buffered by bicarbonates exported out of the soil profile, which leads to a net decline of soil pH. Both soils irrigated with untreated wastewater and brackish water store less of C and Ν than soils irrigated with non saline groundwater.The assessment of the impact of land use on the shallow groundwater (chapter 3) allowed determining representative tracers of the land use. Low Br/CI ratio, high NO3/CI ratio and low δ1βΟ- nitrate indicated the influence of wastewater; high pH and high 515N-nitrates indicated the influence of brackish water together with high amendments of organic fertilizers; high Rb+Cr and Κ indicated the influence of poor sanitation facilities in periurban districts (septic tank leakage). This chapter also pointed out the following facts about the nitrogen dynamics : (1) denitrification is a key-process in the Dakar UA agrosystem in the gleysols irrigated with groundwater. The underlying groundwater is almost nitrate free. (2) in the Gleysols irrigated with waste water, ammonium inhibits denitrification but facilitate ammoniac volatilization. A comparison of nitrogen balance between the UA agrosystem and the periurban districts of Dakar (chapter 4) revealed similar flows per surface unit, namely 2-4 tons Ν / ha / year.The evaluation of pesticides use in the UA agrosystem and the risk assessment for the groundwater (chapter 5) revealed a total flow of pesticides of 60kg / ha / year, totalizing 15 active substances. Only two of these are authorized by the Sahelian Pesticides Committee. The most used pesticides are dicofol (organochlorinated), methamidophos, dimethoate and fenithrotion (organophosphate) as well as methomyl. (carbamate). The most important flows vary between 9 to 7 kg / ha / year. Pesticides with a high risk of groundwater contamination - according to SIRIS and EPRIP 2 indicators - are: carbofuran, dimethoate, ethoprophos and methomyl. These substances should be established as a priority for an analytical follow-up in the different environmental compartments.In conclusion, a better management of the fertilization is necessary in the Dakar UA, (1) to reduce the gaseous losses which contribute to greenhouse emissions (2) to slow down the mineralization of the organic carbon and the nitrogen, in order to enhance the C and Ν stock in these soils, (3) to limit the nitrate leaching in the groundwater and finally, 4) to increase the N-use efficiency of plants. An optimization of the irrigation scheme should limit the secondary sodisation if coupled with an increase the stable organic matter of the soil. An integrated or biologic crop pest strategy is urgently needed to minimize risks with respect to ground and surface water (ponds used for fishing).RESUME LARGE PUBLICL'agriculture mondiale connaît actuellement une crise majeure, affectée par les changements climatiques, la sécurité alimentaire et les dégradations de l'environnement. Elle n'a plus le rôle unique de produire, mais devient un élément essentiel de la protection des ressources naturelles et du paysage. Les politiques agricoles basées sur les marchés mondiaux devront se réorienter vers une agriculture locale basée sur le développement durable.La production alimentaire située dans l'enceinte des villes, nommée agriculture urbaine ou périurbaine (AU ci-après) joue un rôle important dans le contexte actuel d'accroissement de la population et de la pauvreté urbaines. L'AU concerne en effet la majorité des mégapoies du monde, fait vivre plus de 200 millions de personnes dans les pays du Sud, fournit jusqu'à 80% de la demande urbaine en certains produits frais, fait barrière à l'extension urbaine et permet un recyclage de certains déchets urbains. L'AU a pour particularité d'être à cheval entre des politiques rurales et urbaines, d'où un délaissement ce cette activité au secteur informel. Ce qui a développé de nombreuses stratégies à risques, comme à Dakar, où les petits producteurs périurbains irriguent quotidiennement avec des eaux usées domestiques par manque d'accès à une eau de bonne qualité et pour raccourcir les cycles de production. L'extrême précarité foncière des acteurs de l'AU de Dakar les empêchent d'investir à long terme et induit des pratiques inadéquates d'irrigation, d'usage de pesticides et de fertilisation de ces sols sableux.L'objectif de cette recherche était de contribuer à une meilleure connaissance des processus de transfert de polluants et du cycle des nutriments à l'échelle des parcelles cultivées par des eaux usées et des eaux saumâtres, afin de déterminer sous quelles conditions l'AU de Dakar peut être pratiquée et surtout maintenue sans porter atteinte à la santé et à l'environnement. Pour cela, une approche basée sur l'étude des processus géochimiques dans le sol jusqu'à la nappe a été choisie, à l'échelle de la parcelle cultivée et à une échelle un peu plus large de la zone périurbaine de Dakar pour déterminer les influences du type d'occupation du sol.Les résultats principaux de cette étude ont montré que (1) il y a un processus de salinisation anthropique des sols (sodisation) lors d'irrigation avec des eaux de nappe saumâtres, un processus accentué en saison sèche et lors d'années à pluviométrie déficitaire. Bien que les eaux usées soient aussi salines que les eaux de nappe, la salinisation des sols irrigués' par des eaux usées est limitée par l'ammonium présent dans les eaux usées (moy 190mg NH4/L à Pikine) qui produit de l'acidité lors de la transformation en nitrates dans le sol (nitrification). (2) les sols irrigués par des eaux usées (EU) stockent moins de C et Ν que les sois de référence, ce qui montrent bien que l'azote des eaux usées n'est pas disponible pour les plantes, mais est lessivé dans la nappe (100 à 450 mg/L N03 sous irrigation par EU, alors que la limite de OMS est de 50mg/L). (3) l'utilisation des isotopes stables des nitrates et des éléments traces, notamment le bore et le brome, ont permis de distinguer l'influence de l'irrigation par des eaux usées, de l'irrigation par des eaux de nappe et des lixiviats de fosses septiques sur les propriétés de la nappe. (4) Le processus de la dénitrification (atténuation naturelle des concentrations en nitrates de la nappe par biotransformation en azote gazeux) est important dans les zones basses de l'agrosystème périurbain de Dakar, sous irrigation par eaux naturelles (ΝΟ3 < 50mg/L). Tandis que sous habitat sans assainissement adéquat, les nitrates atteignent 300 à 700 mg/L. (5) Le flux total de pesticides dans l'AU est énorme (60kg/ha/an) totalisant 15 pesticides, dont deux seulement sont autorisés. Les pesticides les plus utilisés sont des insecticides organophosphorés et organochlorés classés extrêmement dangereux à dangereux par l'OMS, appliqués à des doses de 2 à 9 kg/ha/an. Les pesticides qui ont montré un risque élevé de contamination des eaux souterraines avec les indicateurs SIRIS et EPRIP2 sont : le carbofuran, le dimethoate, l'ethoprophos et le methomyl.En conclusion, nous recommandons la reconstitution d'un horizon superficiel des sols riche en matière organique stable et structuré par production locale de compost. Cette mesure réduira les pertes gazeuses contribuant à l'effet de serre, augmentera le stock de Ν dans ces sols, alors utilisable par les plantes et permettra de diminuer l'irrigation car la capacité de rétention de l'eau dans le sol sera accru, ce qui limitera le lessivage des nitrates dans la nappe et l'alcalinisation secondaire. Enfin, la mise en place d'une lutte intégrée ou biologique contre les ravageurs est indispensable afin de minimiser les risques pour les eaux souterraines et lesmares permanentes.

Phylogenetic relationships and divergence times among dormice (Rodentia, Gliridae) based on three nuclear genes

We examined phylogenetic relationships among six species representing three subfamilies, Glirinae, Graphiurinae and Leithiinae with sequences from three nuclear protein-coding genes (apolipoprotein B, APOB; interphotoreceptor retinoid-binding protein, IRBP; recombination-activating gene 1, RAG1). Phylogenetic trees reconstructed from maximum-parsimony (MP), maximum-likelihood (ML) and Bayesian-inference (BI) analyses showed the monophyly of Glirinae (Glis and Glirulus) and Leithiinae (Dryomys, Eliomys and Muscardinus) with strong support, although the branch length maintaining this relationship was very short, implying rapid diversification among the three subfamilies. Divergence time estimates were calculated from ML (local clock model) and Bayesian-dating method using a calibration point of 25 Myr (million years) ago for the divergence between Glis and Glirulus, and 55 Myr ago for the split between lineages of Gliridae and Sciuridae on the basis of fossil records. The results showed that each lineage of Graphiuros, Glis, Glirulus and Muscardinus dates from the Late Oligocene to the Early Miocene period, which is mostly in agreement with fossil records. Taking into account that warm climate harbouring a glirid-favoured forest dominated from Europe to Asia during this period, it is considered that this warm environment triggered the prosperity of the glirid species through the rapid diversification. Glirulus japonicas is suggested to be a relict of this ancient diversification during the warm period.

Analysis and spatial modeling of the indoor radon Swiss data

The present research deals with an important public health threat, which is the pollution created by radon gas accumulation inside dwellings. The spatial modeling of indoor radon in Switzerland is particularly complex and challenging because of many influencing factors that should be taken into account. Indoor radon data analysis must be addressed from both a statistical and a spatial point of view. As a multivariate process, it was important at first to define the influence of each factor. In particular, it was important to define the influence of geology as being closely associated to indoor radon. This association was indeed observed for the Swiss data but not probed to be the sole determinant for the spatial modeling. The statistical analysis of data, both at univariate and multivariate level, was followed by an exploratory spatial analysis. Many tools proposed in the literature were tested and adapted, including fractality, declustering and moving windows methods. The use of Quan-tité Morisita Index (QMI) as a procedure to evaluate data clustering in function of the radon level was proposed. The existing methods of declustering were revised and applied in an attempt to approach the global histogram parameters. The exploratory phase comes along with the definition of multiple scales of interest for indoor radon mapping in Switzerland. The analysis was done with a top-to-down resolution approach, from regional to local lev¬els in order to find the appropriate scales for modeling. In this sense, data partition was optimized in order to cope with stationary conditions of geostatistical models. Common methods of spatial modeling such as Κ Nearest Neighbors (KNN), variography and General Regression Neural Networks (GRNN) were proposed as exploratory tools. In the following section, different spatial interpolation methods were applied for a par-ticular dataset. A bottom to top method complexity approach was adopted and the results were analyzed together in order to find common definitions of continuity and neighborhood parameters. Additionally, a data filter based on cross-validation was tested with the purpose of reducing noise at local scale (the CVMF). At the end of the chapter, a series of test for data consistency and methods robustness were performed. This lead to conclude about the importance of data splitting and the limitation of generalization methods for reproducing statistical distributions. The last section was dedicated to modeling methods with probabilistic interpretations. Data transformation and simulations thus allowed the use of multigaussian models and helped take the indoor radon pollution data uncertainty into consideration. The catego-rization transform was presented as a solution for extreme values modeling through clas-sification. Simulation scenarios were proposed, including an alternative proposal for the reproduction of the global histogram based on the sampling domain. The sequential Gaussian simulation (SGS) was presented as the method giving the most complete information, while classification performed in a more robust way. An error measure was defined in relation to the decision function for data classification hardening. Within the classification methods, probabilistic neural networks (PNN) show to be better adapted for modeling of high threshold categorization and for automation. Support vector machines (SVM) on the contrary performed well under balanced category conditions. In general, it was concluded that a particular prediction or estimation method is not better under all conditions of scale and neighborhood definitions. Simulations should be the basis, while other methods can provide complementary information to accomplish an efficient indoor radon decision making.

Strengthening of an Existing Continuous-Span, Steel-Beam, Concrete-Deck Bridge by Post-Tensioning, HR-308, 1990

The need to upgrade a large number of understrength and obsolete bridges in the U.S. has been well documented in the literature. Through several Iowa DOT projects, the concept of strengthening simple-span bridges by post-tensioning has been developed. The purpose of the project described in this report was to investigate the use of post-tensioning for strengthening continuous composite bridges. In a previous, successfully completed investigation, the feasibility of strengthening continuous, composite bridges by post-tensioning was demonstrated on a laboratory 1/3-scale-model bridge (3 spans: 41 ft 11 in. x 8 ft 8 in.). This project can thus be considered the implementation phase. The bridge selected for strengthening was in Pocahontas County near Fonda, Iowa, on County Road N28. With finite element analysis, a post-tensioning system was developed that required post-tensioning of the positive moment regions of both the interior and exterior beams. During the summer of 1988, the strengthening system was installed along with instrumentation to determine the bridge's response and behavior. Before and after post-tensioning, the bridge was subjected to truck loading (1 or 2 trucks at various predetermined critical locations) to determine the effectiveness of the strengthening system. The bridge, with the strengthening system in place, was inspected approximately every three months to determine any changes in its appearance or behavior. In 1989, approximately one year after the initial strengthening, the bridge was retested to identify any changes in its behavior. Post-tensioning forces were removed to reveal any losses over the one-year period. Post-tensioning was reapplied to the bridge, and the bridge was tested using the same loading program used in 1988. Except for at a few locations, stresses were reduced in the bridge the desired amount. At a few locations flexural stresses in the steel beams are still above 18 ksi, the allowable inventory stress for A7 steel. Although maximum stresses are above the inventory stress by about 2 ksi, they are about 5 ksi below the allowable operating stress; therefore, the bridge no longer needs to be load-posted.

Perception and Interpretation of Advance Warning Signs on County Roads, HR-256, 1984

This research consisted of five laboratory experiments designed to address the following two objectives in an integrated analysis: (1) To discriminate between the symbol Stop Ahead warning sign and a small set of other signs (which included the word-legend Stop Ahead sign); and (2) To analyze sign detection, recognizability, and processing characteristics by drivers. A set of 16 signs was used in each of three experiments. A tachistoscope was used to display each sign image to a respondent for a brief interval in a controlled viewing experiment. The first experiment was designed to test detection of a sign in the driver's visual field; the second experiment was designed to test the driver's ability to recognize a given sign in the visual field; and the third experiment was designed to test the speed and accuracy of a driver's response to each sign as a command to perform a driving action. A fourth experiment tested the meanings drivers associated with an eight-sign subset of the 16 signs used in the first three experiments. A fifth experiment required all persons to select which (if any) signs they considered to be appropriate for use on two scale model county road intersections. The conclusions are that word-legend Stop Ahead signs are more effective driver communication devices than symbol stop-ahead signs; that it is helpful to drivers to have a word plate supplementing the symbol sign if a symbol sign is used; and that the guidance in the Manual on Uniform Traffic Control Devices on the placement of advance warning signs should not supplant engineering judgment in providing proper sign communication at an intersection.

Extreme population differentiation in vulnerable slavemaking ant with fragmented distribution

Understanding levels of population differentiation and inbreeding are important issues in conservation biology, especially for social Hymenoptera with fragmented and small population sizes. Isolated populations are more vulnerable to genetic loss and extinction than those with extended continuous distributions. However, small populations are not always a consequence of a recent reduction of their habitat. Thus, determining the history of population isolation and current patterns of genetic variation of a species is crucial for its conservation. Rossomyrmex minuchae is a slave-making ant with patchy distribution in South Eastern Spain and is classified as vulnerable by the IUCN. In contrast, the other three known species of the genus are presumed to show more uniform distributions. Here we investigate the genetic diversity and population structure of R. minuchae and compare it with that found in two other species of the genus: R. anatolicus and R. quandratinodum. We conclude that although genetic diversity of R. minuchae is low, there is no evidence of a recent bottleneck, suggesting a gradual and natural fragmentation process. We also show extreme population differentiation at nuclear and mitochondrial markers, and isolation by distance at a local scale. Despite some evidence for inbreeding and low genetic variation within populations, we found almost no diploid males, a finding which contrasts with that expected in inbred Hymenoptera with single locus complementary sex determination. This could mean that sex is determined by another mechanism. We argue that continued low population size means that detrimental effects of inbreeding and low genetic variation are likely in the future. We suggest that a policy of artificial gene flow aimed at increasing within population variation is considered as a management option.

Introduction of snow and geomorphic disturbance variables into predictive models of alpine plant distribution in the Western Swiss Alps

Indirect topographic variables have been used successfully as surrogates for disturbance processes in plant species distribution models (SDM) in mountain environments. However, no SDM studies have directly tested the performance of disturbance variables. In this study, we developed two disturbance variables: a geomorphic index (GEO) and an index of snow redistribution by wind (SNOW). These were developed in order to assess how they improved both the fit and predictive power of presenceabsence SDM based on commonly used topoclimatic (TC) variables for 91 plants in the Western Swiss Alps. The individual contribution of the disturbance variables was compared to TC variables. Maps of models were prepared to spatially test the effect of disturbance variables. On average, disturbance variables significantly improved the fit but not the predictive power of the TC models and their individual contribution was weak (5.6% for GEO and 3.3% for SNOW). However their maximum individual contribution was important (24.7% and 20.7%). Finally, maps including disturbance variables (i) were significantly divergent from TC models in terms of predicted suitable surfaces and connectivity between potential habitats, and (ii) were interpreted as more ecologically relevant. Disturbance variables did not improve the transferability of models at the local scale in a complex mountain system, and the performance and contribution of these variables were highly species-specific. However, improved spatial projections and change in connectivity are important issues when preparing projections under climate change because the future range size of the species will determine the sensitivity to changing conditions.

Development of Self-Cleaning Box Culvert Designs, TR-545, 2009

The main function of a roadway culvert is to effectively convey drainage flow during normal and extreme hydrologic conditions. This function is often impaired due to the sedimentation blockage of the culvert. This research sought to understand the mechanics of sedimentation process at multi-box culverts, and develop self-cleaning systems that flush out sediment deposits using the power of drainage flows. The research entailed field observations, laboratory experiments, and numerical simulations. The specific role of each of these investigative tools is summarized below: a) The field observations were aimed at understanding typical sedimentation patterns and their dependence on culvert geometry and hydrodynamic conditions during normal and extreme hydrologic events. b) The laboratory experiments were used for modeling sedimentation process observed insitu and for testing alternative self-cleaning concepts applied to culverts. The major tasks for the initial laboratory model study were to accurately replicate the culvert performance curves and the dynamics of sedimentation process, and to provide benchmark data for numerical simulation validation. c) The numerical simulations enhanced the understanding of the sedimentation processes and aided in testing flow cases complementary to those conducted in the model reducing the number of (more expensive) tests to be conducted in the laboratory. Using the findings acquired from the laboratory and simulation works, self-cleaning culvert concepts were developed and tested for a range of flow conditions. The screening of the alternative concepts was made through experimental studies in a 1:20 scale model guided by numerical simulations. To ensure the designs are effective, performance studies were finally conducted in a 1:20 hydraulic model using the most promising design alternatives to make sure that the proposed systems operate satisfactory under closer to natural scale conditions.

Genetic bottlenecks driven by population disconnection.

Connectivity among populations plays a crucial role in maintaining genetic variation at a local scale, especially in small populations affected strongly by genetic drift. The negative consequences of population disconnection on allelic richness and gene diversity (heterozygosity) are well recognized and empirically established. It is not well recognized, however, that a sudden drop in local effective population size induced by such disconnection produces a temporary disequilibrium in allelic frequency distributions that is akin to the genetic signature of a demographic bottleneck. To document this effect, we used individual-based simulations and empirical data on allelic richness and gene diversity in six pairs of isolated versus well-connected (core) populations of European tree frogs. In our simulations, population disconnection depressed allelic richness more than heterozygosity and thus resulted in a temporary excess in gene diversity relative to mutation drift equilibrium (i.e., signature of a genetic bottleneck). We observed a similar excess in gene diversity in isolated populations of tree frogs. Our results show that population disconnection can create a genetic bottleneck in the absence of demographic collapse.

Variable queen number in ant colonies: no impact on queen turnover, inbreeding, and population genetic differentiation in the ant Formica selysi.

Variation in queen number alters the genetic structure of social insect colonies, which in turn affects patterns of kin-selected conflict and cooperation. Theory suggests that shifts from single- to multiple-queen colonies are often associated with other changes in the breeding system, such as higher queen turnover, more local mating, and restricted dispersal. These changes may restrict gene flow between the two types of colonies and it has been suggested that this might ultimately lead to sympatric speciation. We performed a detailed microsatellite analysis of a large population of the ant Formica selysi, which revealed extensive variation in social structure, with 71 colonies headed by a single queen and 41 by multiple queens. This polymorphism in social structure appeared stable over time, since little change in the number of queens per colony was detected over a five-year period. Apart from queen number, single- and multiple-queen colonies had very similar breeding systems. Queen turnover was absent or very low in both types of colonies. Single- and multiple-queen colonies exhibited very small but significant levels of inbreeding, which indicates a slight deviation from random mating at a local scale and suggests that a small proportion of queens mate with related males. For both types of colonies, there was very little genetic structuring above the level of the nest, with no sign of isolation by distance. These similarities in the breeding systems were associated with a complete lack of genetic differentiation between single- and multiple-queen colonies, which provides no support for the hypothesis that change in queen number leads to restricted gene flow between social forms. Overall, this study suggests that the higher rates of queen turnover, local mating, and population structuring that are often associated with multiple-queen colonies do not appear when single- and multiple-queen colonies still coexist within the same population, but build up over time in populations consisting mostly of multiple-queen colonies.

Spatiotemporal adaptive multiscale multiphysics simulations of two-phase flow

We present a spatiotemporal adaptive multiscale algorithm, which is based on the Multiscale Finite Volume method. The algorithm offers a very efficient framework to deal with multiphysics problems and to couple regions with different spatial resolution. We employ the method to simulate two-phase flow through porous media. At the fine scale, we consider a pore-scale description of the flow based on the Volume Of Fluid method. In order to construct a global problem that describes the coarse-scale behavior, the equations are averaged numerically with respect to auxiliary control volumes, and a Darcy-like coarse-scale model is obtained. The space adaptivity is based on the idea that a fine-scale description is only required in the front region, whereas the resolution can be coarsened elsewhere. Temporal adaptivity relies on the fact that the fine-scale and the coarse-scale problems can be solved with different temporal resolution (longer time steps can be used at the coarse scale). By simulating drainage under unstable flow conditions, we show that the method is able to capture the coarse-scale behavior outside the front region and to reproduce complex fluid patterns in the front region.