2 resultados para MUSEUMS

em SAPIENTIA - Universidade do Algarve - Portugal


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Throughout the year and half of research developed during the times of crisis or economic crisis in Portugal due to the austerity measures, this thesis focuses on the cultural communication and museology in the area of cultural management in Portugal. With an ever growing number of research being developed over the world, this study is unique as it studies managerial diversity and organisational structures of Contemporary Art Museums that exist in Portugal but more importantly how they communicate their organizations within and beyond the Museum walls such as online or other technological media. As the communication management of the museums is one of aspects of culture in which cultural management intends to intervene. The research study that I proposed to analyse has at the forefront the intention to understand how the Contemporary Art Museums in Portugal manage their communication and respective organizations, whether they be a Public-Private/Foundation, State or Council run organizations but also understand if a strategic plan is designed and implemented in times of crisis, to withstand disruptive economic scenarios projected on a daily basis. The following Museums were selected due to the fact of being Contemporary Art Museums but also their respective diverse territorial distribution, one in the city capital of Portugal, Lisbon: MNAC – Museu Nacional de Arte Contemporânea, a stately run organisation; the second, in the north of Portugal: MACS – Museu de Arte Contemporânea de Serralves, a public/private organisation under the Foundation organics and the third Museum in interior central region of Portugal, Alentejo: MACE – Museu de Arte Contemporânea de Elvas, managed by the Elvas City Council.

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This article outlines the approaches to modeling the distribution of threatened invertebrates using data from atlases, museums and databases. Species Distribution Models (SDMs) are useful for estimating species’ ranges, identifying suitable habitats, and identifying the primary factors affecting species’ distributions. The study tackles the strategies used to obtain SDMs without reliable absence data while exploring their applications for conservation. I examine the conservation status of Copris species and Graellsia isabelae by delimiting their populations and exploring the effectiveness of protected areas. I show that the method of pseudo‐absence selection strongly determines the model obtained, generating different model predictions along the gradient between potential and realized distributions. After assessing the effects of species’ traits and data characteristics on accuracy, I found that species are modeled more accurately when sample sizes are larger, no matter the technique used.