Suchergebnisse

International audience ; Virtual Reality (VR) for Education is spreading around and more and more training centers want to provide digital training, especially using VR technol-ogies. The VR market is in full growth and many companies, startups and research teams are working on developing VR for Education on a large scale. Many domains are concerned by this learning digitalization, like science (Oliveira et al., 2019), military (Taupiac, 2018) and so on. The benefits of VR for education are numerous (Mano, 2019) and deeply investigated since the beginning of VR. There are many approaches in the process of training with VR, particularly since the commercialization of new VR headsets like HTC Vive™ and Oculus Rift™. Those headsets allow room scale tracking and are shipped with 3D space tracked controllers, granting a better user expe-rience and a higher diversity in virtual training situations. New headsets are also affordable and so not only reserved for industrials, research or military, leading to new use of VR.

International audience ; Virtual Reality (VR) for Education is spreading around and more and more training centers want to provide digital training, especially using VR technol-ogies. The VR market is in full growth and many companies, startups and research teams are working on developing VR for Education on a large scale. Many domains are concerned by this learning digitalization, like science (Oliveira et al., 2019), military (Taupiac, 2018) and so on. The benefits of VR for education are numerous (Mano, 2019) and deeply investigated since the beginning of VR. There are many approaches in the process of training with VR, particularly since the commercialization of new VR headsets like HTC Vive™ and Oculus Rift™. Those headsets allow room scale tracking and are shipped with 3D space tracked controllers, granting a better user expe-rience and a higher diversity in virtual training situations. New headsets are also affordable and so not only reserved for industrials, research or military, leading to new use of VR.

International audience ; Virtual Reality (VR) for Education is spreading around and more and more training centers want to provide digital training, especially using VR technol-ogies. The VR market is in full growth and many companies, startups and research teams are working on developing VR for Education on a large scale. Many domains are concerned by this learning digitalization, like science (Oliveira et al., 2019), military (Taupiac, 2018) and so on. The benefits of VR for education are numerous (Mano, 2019) and deeply investigated since the beginning of VR. There are many approaches in the process of training with VR, particularly since the commercialization of new VR headsets like HTC Vive™ and Oculus Rift™. Those headsets allow room scale tracking and are shipped with 3D space tracked controllers, granting a better user expe-rience and a higher diversity in virtual training situations. New headsets are also affordable and so not only reserved for industrials, research or military, leading to new use of VR.

International audience ; For sustainable management of exploited populations, it is required to have good knowledge on temporal trends in population density to adapt the harvest. In this regard, hunting statistics are often collected routinely by government agencies and associations. These data are used to assess demographic trends through the development of indices, which are in turn used to manage exploited populations in a sustainable way. However, these population indices depend on features of the hunting process (e.g. hunting effort, hunting conditions, probability of catch). In this study, we show how to use hunting logs to assess demographic trends in exploited populations while accounting for the components of the hunting process. In particular, we developed a catch-effort model to study how the hunting effort leads to mortality rate – hunting pressure – within a given habitat type and during a given period. We illustrated the usefulness of this approach using exploited wild boar (Sus scrofa) populations as a case study. We used a large hunting logs dataset to perform our study, with several hundreds of thousands hunting events for more than 10 years in two French departments in France, including information about the number of hunters, of wild boars culled and the date of the hunt. We showed that catchability is a key parameter to assess hunting pressure at a given time and place. This parameter varies both within the hunting season and between habitat types. Once this variation in catchability was accounted for, our catch-effort model allowed us to obtain estimates of relative densities of wild boar populations over the study period at the management unit scale. Thus, catch-effort models are powerful tools to assess population density and to understand the underlying hunting process. Our study offers straightforward and reproducible conceptual framework that can be applied routinely by wildlife managers on exploited populations and practitioners from hunting statistics logs.

International audience ; For sustainable management of exploited populations, it is required to have good knowledge on temporal trends in population density to adapt the harvest. In this regard, hunting statistics are often collected routinely by government agencies and associations. These data are used to assess demographic trends through the development of indices, which are in turn used to manage exploited populations in a sustainable way. However, these population indices depend on features of the hunting process (e.g. hunting effort, hunting conditions, probability of catch). In this study, we show how to use hunting logs to assess demographic trends in exploited populations while accounting for the components of the hunting process. In particular, we developed a catch-effort model to study how the hunting effort leads to mortality rate – hunting pressure – within a given habitat type and during a given period. We illustrated the usefulness of this approach using exploited wild boar (Sus scrofa) populations as a case study. We used a large hunting logs dataset to perform our study, with several hundreds of thousands hunting events for more than 10 years in two French departments in France, including information about the number of hunters, of wild boars culled and the date of the hunt. We showed that catchability is a key parameter to assess hunting pressure at a given time and place. This parameter varies both within the hunting season and between habitat types. Once this variation in catchability was accounted for, our catch-effort model allowed us to obtain estimates of relative densities of wild boar populations over the study period at the management unit scale. Thus, catch-effort models are powerful tools to assess population density and to understand the underlying hunting process. Our study offers straightforward and reproducible conceptual framework that can be applied routinely by wildlife managers on exploited populations and practitioners from hunting statistics logs.

International audience ; For sustainable management of exploited populations, it is required to have good knowledge on temporal trends in population density to adapt the harvest. In this regard, hunting statistics are often collected routinely by government agencies and associations. These data are used to assess demographic trends through the development of indices, which are in turn used to manage exploited populations in a sustainable way. However, these population indices depend on features of the hunting process (e.g. hunting effort, hunting conditions, probability of catch). In this study, we show how to use hunting logs to assess demographic trends in exploited populations while accounting for the components of the hunting process. In particular, we developed a catch-effort model to study how the hunting effort leads to mortality rate – hunting pressure – within a given habitat type and during a given period. We illustrated the usefulness of this approach using exploited wild boar (Sus scrofa) populations as a case study. We used a large hunting logs dataset to perform our study, with several hundreds of thousands hunting events for more than 10 years in two French departments in France, including information about the number of hunters, of wild boars culled and the date of the hunt. We showed that catchability is a key parameter to assess hunting pressure at a given time and place. This parameter varies both within the hunting season and between habitat types. Once this variation in catchability was accounted for, our catch-effort model allowed us to obtain estimates of relative densities of wild boar populations over the study period at the management unit scale. Thus, catch-effort models are powerful tools to assess population density and to understand the underlying hunting process. Our study offers straightforward and reproducible conceptual framework that can be applied routinely by wildlife managers on exploited populations and practitioners from hunting statistics logs.

La gestion durable des forêts repose largement sur la biodiversité dont le fonctionnement reste cependant encore très insuffisamment connu. Il en découle la nécessité d'améliorer, de manière générale, le socle de connaissances relatif à la biodiversité et, plus particulièrement, d'analyser les interactions entre changement climatique, productivité forestière et biodiversité en forêt. Par ailleurs, les stratégies et décisions des acteurs influent sur ces interactions et constituent également des objets d'étude à privilégier. C'est pourquoi le programme de recherche « Biodiversité, gestion forestière et politiques publiques » a lancé en 2013 un appel à projets de recherche avec deux entrées : - l'une par les sciences de la nature axée sur le changement climatique, les mesures de gestion et la dynamique de la biodiversité dans les écosystèmes ; - l'autre par les sciences humaines et sociales sur les stratégies et décisions des acteurs, la gouvernance et les politiques publiques correspondant à la première entrée. Le présent colloque a pour objectifs de : - présenter les résultats des cinq projets de recherche qui ont été sélectionnés à cette occasion sur chacune des deux entrées en les accompagnant en tant que de besoin de regards complémentaires et en illustrant l'un des projets par une visite sur le terrain ; - initier une réflexion sur le progrès des connaissances dans ce domaine, en s'inspirant du devenir de projets antérieurs et en identifiant les principales lacunes à combler. Il se déroulera en trois sessions, chacune introduite par des exposés d'une quinzaine de minutes et conclue par une table ronde permettant un débat avec les participants et les invités.