Integrating forensic information in a crime intelligence database

Since 2008, Intelligence units of six states of the western part of Switzerland have been sharing a common database for the analysis of high volume crimes. On a daily basis, events reported to the police are analysed, filtered and classified to detect crime repetitions and interpret the crime environment. Several forensic outcomes are integrated in the system such as matches of traces with persons, and links between scenes detected by the comparison of forensic case data. Systematic procedures have been settled to integrate links assumed mainly through DNA profiles, shoemarks patterns and images. A statistical outlook on a retrospective dataset of series from 2009 to 2011 of the database informs for instance on the number of repetition detected or confirmed and increased by forensic case data. Time needed to obtain forensic intelligence in regard with the type of marks treated, is seen as a critical issue. Furthermore, the underlying integration process of forensic intelligence into the crime intelligence database raised several difficulties in regards of the acquisition of data and the models used in the forensic databases. Solutions found and adopted operational procedures are described and discussed. This process form the basis to many other researches aimed at developing forensic intelligence models.

Forecasting changes in population genetic structure of alpine plants in response to global warming.

Species range shifts in response to climate and land use change are commonly forecasted with species distribution models based on species occurrence or abundance data. Although appealing, these models ignore the genetic structure of species, and the fact that different populations might respond in different ways because of adaptation to their environment. Here, we introduced ancestry distribution models, that is, statistical models of the spatial distribution of ancestry proportions, for forecasting intra-specific changes based on genetic admixture instead of species occurrence data. Using multi-locus genotypes and extensive geographic coverage of distribution data across the European Alps, we applied this approach to 20 alpine plant species considering a global increase in temperature from 0.25 to 4 °C. We forecasted the magnitudes of displacement of contact zones between plant populations potentially adapted to warmer environments and other populations. While a global trend of movement in a north-east direction was predicted, the magnitude of displacement was species-specific. For a temperature increase of 2 °C, contact zones were predicted to move by 92 km on average (minimum of 5 km, maximum of 212 km) and by 188 km for an increase of 4 °C (minimum of 11 km, maximum of 393 km). Intra-specific turnover-measuring the extent of change in global population genetic structure-was generally found to be moderate for 2 °C of temperature warming. For 4 °C of warming, however, the models indicated substantial intra-specific turnover for ten species. These results illustrate that, in spite of unavoidable simplifications, ancestry distribution models open new perspectives to forecast population genetic changes within species and complement more traditional distribution-based approaches.

Species distributions and interactions in a changing world : from understanding to forecasting

Les écosystèmes fournissent de nombreuses ressources et services écologiques qui sont utiles à la population humaine. La biodiversité est une composante essentielle des écosystèmes et maintient de nombreux services. Afin d'assurer la permanence des services écosystémiques, des mesures doivent être prises pour conserver la biodiversité. Dans ce but, l'acquisition d'informations détaillées sur la distribution de la biodiversité dans l'espace est essentielle. Les modèles de distribution d'espèces (SDMs) sont des modèles empiriques qui mettent en lien des observations de terrain (présences ou absences d'une espèce) avec des descripteurs de l'environnement, selon des courbes de réponses statistiques qui décrive la niche réalisée des espèces. Ces modèles fournissent des projections spatiales indiquant les lieux les plus favorables pour les espèces considérées. Le principal objectif de cette thèse est de fournir des projections plus réalistes de la distribution des espèces et des communautés en montagne pour le climat présent et futur en considérant non-seulement des variables abiotiques mais aussi biotiques. Les régions de montagne et l'écosystème alpin sont très sensibles aux changements globaux et en même temps assurent de nombreux services écosystémiques. Cette thèse est séparée en trois parties : (i) fournir une meilleure compréhension du rôle des interactions biotiques dans la distribution des espèces et l'assemblage des communautés en montagne (ouest des Alpes Suisses), (ii) permettre le développement d'une nouvelle approche pour modéliser la distribution spatiale de la biodiversité, (iii) fournir des projections plus réalistes de la distribution future des espèces ainsi que de la composition des communautés. En me focalisant sur les papillons, bourdons et plantes vasculaires, j'ai détecté des interactions biotiques importantes qui lient les espèces entre elles. J'ai également identifié la signature du filtre de l'environnement sur les communautés en haute altitude confirmant l'utilité des SDMs pour reproduire ce type de processus. A partir de ces études, j'ai contribué à l'amélioration méthodologique des SDMs dans le but de prédire les communautés en incluant les interactions biotiques et également les processus non-déterministes par une approche probabiliste. Cette approche permet de prédire non-seulement la distribution d'espèces individuelles, mais également celle de communautés dans leur entier en empilant les projections (S-SDMs). Finalement, j'ai utilisé cet outil pour prédire la distribution d'espèces et de communautés dans le passé et le futur. En particulier, j'ai modélisé la migration post-glaciaire de Trollius europaeus qui est à l'origine de la structure génétique intra-spécifique chez cette espèce et évalué les risques de perte face au changement climatique. Finalement, j'ai simulé la distribution des communautés de bourdons pour le 21e siècle afin d'évaluer les changements probables dans ce groupe important de pollinisateurs. La diversité fonctionnelle des bourdons va être altérée par la perte d'espèces spécialistes de haute altitude et ceci va influencer la pollinisation des plantes en haute altitude. - Ecosystems provide a multitude of resources and ecological services, which are useful to human. Biodiversity is an essential component of those ecosystems and guarantee many services. To assure the permanence of ecosystem services for future generation, measure should be applied to conserve biodiversity. For this purpose, the acquisition of detailed information on how biodiversity implicated in ecosystem function is distributed in space is essential. Species distribution models (SDMs) are empirical models relating field observations to environmental predictors based on statistically-derived response surfaces that fit the realized niche. These models result in spatial predictions indicating locations of the most suitable environment for the species and may potentially be applied to predict composition of communities and their functional properties. The main objective of this thesis was to provide more accurate projections of species and communities distribution under current and future climate in mountains by considering not solely abiotic but also biotic drivers of species distribution. Mountain areas and alpine ecosystems are considered as particularly sensitive to global changes and are also sources of essential ecosystem services. This thesis had three main goals: (i) a better ecological understanding of biotic interactions and how they shape the distribution of species and communities, (ii) the development of a novel approach to the spatial modeling of biodiversity, that can account for biotic interactions, and (iii) ecologically more realistic projections of future species distributions, of future composition and structure of communities. Focusing on butterfly and bumblebees in interaction with the vegetation, I detected important biotic interactions for species distribution and community composition of both plant and insects along environmental gradients. I identified the signature of environmental filtering processes at high elevation confirming the suitability of SDMs for reproducing patterns of filtering. Using those case-studies, I improved SDMs by incorporating biotic interaction and accounting for non-deterministic processes and uncertainty using a probabilistic based approach. I used improved modeling to forecast the distribution of species through the past and future climate changes. SDMs hindcasting allowed a better understanding of the spatial range dynamic of Trollius europaeus in Europe at the origin of the species intra-specific genetic diversity and identified the risk of loss of this genetic diversity caused by climate change. By simulating the future distribution of all bumblebee species in the western Swiss Alps under nine climate change scenarios for the 21st century, I found that the functional diversity of this pollinator guild will be largely affected by climate change through the loss of high elevation specialists. In turn, this will have important consequences on alpine plant pollination.

Is There a Crime Drop in Western Europe?

Combining data from police statistics and crime victim surveys, this article analyses the evolution of crime in Western Europe from 1988 to 2007. The results show that there is no general drop in crime. Property offences and homicide have been decreasing since the mid 1990s, while violent and drug offences have increased during the period under study. These trends highlight the limits of the explanations to the crime drop in the United States, which are based on the premise of a correlation in the evolution of all offences. The drop in property offences seems related to changes in the socioeconomic situation in Europe as well as to increases in security measures in households, and the reinforcement of private security. The increase in violent offences can be explained by the combination of several factors, including changes in youth's free time provoked by the development of the Internet, changing demographics, and the rise of episodic heavy alcohol consumption and street gangs.

A Typology of Identity-Related Crime

Identification is ever more important in the online world, and identity-related crime is a growing problem related to this. This new category of crime is not restricted to high-profile instances of identity 'theft' or identity fraud; it is wide-ranging and complex, ranging from identity deletion to unlawful identity creation and identity 'theft'. Commonly accepted definitions are lacking, thus blurring available statistics, and policies to combat this new crime are piecemeal at best. To assess the real nature and magnitude of identity-related crime, and to be able to discuss how it can be combated, identity-related crime should be understood in all its aspects. As a first key step, this article introduces a typology of identity-related crime, consisting of conceptual, technical and legal categories, that can be used as a comprehensive framework for future research, countermeasures and policies related to identity related crime.

Is There a Crime Drop in Western Europe?

Combining data from police statistics and crime victim surveys, this article analyses the evolution of crime in Western Europe from 1988 to 2007. The results show that there is no general drop in crime. Property offences and homicide have been decreasing since the mid 1990s, while violent and drug offences have increased during the period under study. These trends highlight the limits of the explanations to the crime drop in the United States, which are based on the premise of a correlation in the evolution of all offences. The drop in property offences seems related to changes in the socioeconomic situation in Europe as well as to increases in security measures in households, and the reinforcement of private security. The increase in violent offences can be explained by the combination of several factors, including changes in youth's free time provoked by the development of the Internet, changing demographics, and the rise of episodic heavy alcohol consumption and street gangs.

BIOMOD - a platform for ensemble forecasting of species distributions

BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships. BIOMOD includes the ability to model species distributions with several techniques, test models with a wide range of approaches, project species distributions into different environmental conditions (e.g. climate or land use change scenarios) and dispersal functions. It allows assessing species temporal turnover, plot species response curves, and test the strength of species interactions with predictor variables. BIOMOD is implemented in R and is a freeware, open source, package

CRIMINAL JUSTICE, VICTIM SUPPORT CENTERS, AND THE EMOTIONAL WELLBEING OF CRIME VICTIMS

SUMMARY (Français au-dessous)After the Second World War, the role of the victim in criminal conflict became an objectof interest for academics. But it was only in the 1960s that the importance of providingprotection and assistance to crime victims was highlighted in particular by the victims'movement, which inaugurated a new era of criminal justice in systems throughout the world.Moving beyond just the role of controlling crime and punishing the offender, the criminaljustice system also began to contribute to the victims' rehabilitation and to help the victim tomove on from the event psychologically and emotionally.Although some criminological research has been conducted, to date the effect that thecriminal justice system and victim support services have on the well-being of crime victims isstill uncertain.The current study sought to understand better the healing process of victims of crime, thepotential consequences of their participation on the criminal justice system, and the supportof victim centers. Moreover, it aimed to find out whether the existence of a Victim SupportAct would change the treatment that the victim receives in the criminal justice system. Thusthis research was conducted based in two countries - Switzerland and Brazil - where theoutcome of the victims' movement on the criminal justice system was different, as was theparticipation of the victim in the criminal justice system and the government's provision ofsupport.In order to conduct this research we employed the qualitative method, which is the mostefficient to gather sensitive information. Interviews with crime victims were the main sourceof information. Hearing observation and document research were used as complementarysources.The results of this research show that victims who have contact with the criminal justicesystem and victim services are not more likely to recover than those who had no contact. Thisis to say, the support offered has no major effects; the influence of the criminal justice systemand the victim support services in the emotional well-being of crime victims is rather neutral.However, considering that the sample is not representative, findings are not expected to begeneralized. Instead, findings may give insight to practitioners or to future criminal justicepolicy makers, suggesting what may work to improve the emotional well-being of crimevictims, as well as suggesting further studies.________________________________________________________________________________RÉSUMÉAprès la deuxième guerre mondiale, le rôle de la victime est devenu un objet d'intérêtpour les académiciens. Par contre, c'est seulement dans les années 60 que l'importance defournir de la protection et de l'appui aux victimes d'infractions a été accentuée, en particulierpar un mouvement ― victims' mouvement ―, qui a inauguré un nouveau temps dans lajustice pénale des systèmes juridiques du monde entier. A part la fonction de contrôler lecrime et de punir le délinquant, le système de justice pénale joue également un rôle dans laréhabilitation des victimes.Malgré la réalisation de plusieurs recherches criminologiques sur ce sujet, les effets que lesystème de la justice pénale et les centres d'aides aux victimes ont sur le bien-être desvictimes d'infractions est encore incertain.Ainsi cette étude cherche à mieux comprendre le processus de réhabilitation des victimesd'infraction, les conséquences de leur participation dans le système de justice pénale ainsique la portée de l'appui des centres d'aide. De plus, l'étude vise à découvrir si l'existenced'une loi d'aide aux victimes, particulièrement la Loi d'Aide aux Victimes d'InfractionsLAVI, est susceptible de changer le traitement que la victime reçoit dans le système de lajustice pénale. Pour cela, elle a été conduite dans deux pays - la Suisse et le Brésil - où lesconséquences du mouvement des victimes sur le système de la justice pénale a eu undéveloppement différent; il en va de même pour la participation de la victime dans laprocédure pénale et pour l'appui offert par l'Etat.Cette étude utilise la méthode qualitative qui est la plus efficace pour le recueild'informations sensibles. La plus importante source des données sont les interviews avec lesvictimes. L'observation des audiences et l'analyse de documents ont été utilisés en tant quesources d'information complementáire.Les résultats de cette recherche montrent que les victimes qui ont porté plainte et qui ontreçu l'appui des centres d'aides ne sont pas mieux rétablies que celles qui n'ont rien fait. C'estainsi que nous avons conclu que les services offerts n'ont aucune influence dans ce processus.Cependant, considérant que notre échantillon n'est pas représentatif, il n'est pas possible degénéraliser nos résultats. Néanmoins, ceux-ci peuvent éclairer les praticiens ou les futursdécideurs politiques de la justice pénale, suggérant ce qui peut fonctionner pour lerétablissement des victimes d'infraction, aussi bien que suggérer d'autres études.

Forecasting the effects of global warming on biodiversity

The demand for accurate forecasting of the effects of global warming on biodiversity is growing, but current methods for forecasting have limitations. in this article, we compare and discuss the different uses of four forecasting methods: (1) models that consider species individually, (2) niche-theory models that group species by habitat (more specifically, by environmental conditions under which a species can persist or does persist), (3) general circulation models and coupled ocean-atmosphere-biosphere models, and (4) specics-area curve models that consider all species or large aggregates of species. After outlining the different uses and limitations of these methods, we make eight primary suggestions for improving forecasts. We find that greater use of the fossil record and of modern genetic studies would improve forecasting methods. We note a Quaternary conundrum: While current empirical and theoretical ecological results suggest that many species could be at risk from global warming, during the recent ice ages surprisingly few species became extinct. The potential resolution of this conundrum gives insights into the requirements for more accurate and reliable forecasting. Our eight suggestions also point to constructive synergies in the solution to the different problems.

Flowering date of taxonomic families predicts phenological sensitivity to temperature: Implications for forecasting the effects of climate change on unstudied taxa.

PREMISE OF THE STUDY: Numerous long-term studies in seasonal habitats have tracked interannual variation in first flowering date (FFD) in relation to climate, documenting the effect of warming on the FFD of many species. Despite these efforts, long-term phenological observations are still lacking for many species. If we could forecast responses based on taxonomic affinity, however, then we could leverage existing data to predict the climate-related phenological shifts of many taxa not yet studied. METHODS: We examined phenological time series of 1226 species occurrences (1031 unique species in 119 families) across seven sites in North America and England to determine whether family membership (or family mean FFD) predicts the sensitivity of FFD to standardized interannual changes in temperature and precipitation during seasonal periods before flowering and whether families differ significantly in the direction of their phenological shifts. KEY RESULTS: Patterns observed among species within and across sites are mirrored among family means across sites; early-flowering families advance their FFD in response to warming more than late-flowering families. By contrast, we found no consistent relationships among taxa between mean FFD and sensitivity to precipitation as measured here. CONCLUSIONS: Family membership can be used to identify taxa of high and low sensitivity to temperature within the seasonal, temperate zone plant communities analyzed here. The high sensitivity of early-flowering families (and the absence of early-flowering families not sensitive to temperature) may reflect plasticity in flowering time, which may be adaptive in environments where early-season conditions are highly variable among years.