Principais causas de risco em projectos imobiliários habitacionais

As empresas do sector imobiliário lidam com orçamentos e prazos de execução cada vez mais curtos e a competitividade é cada vez maior; Muitos projetos não conseguem alcançar o sucesso desejado devido a factores que, na maioria das vezes, poderiam ter sido mitigados se as devidas acções fossem tomadas em tempo útil. Desta forma, a gestão dos riscos representa um papel fundamental no sucesso e optimização dos projectos. Com efeito, este estudo teve por objectivo identificar as principais causas para o incumprimento dos prazos, do orçamento e da qualidade no sector imobiliário em Portugal, visando desenvolver um método de previsão dos riscos inerentes aos projectos e apresentando estratégias e planos de resposta a estes mesmos riscos, para que de futuro, as empresas do sector imobiliário, possam alcançar os objectivos propostos com o sucesso desejado. Para o efeito, além da revisão bibliográfica, recolheu-se, através da realização de vinte entrevistas junto de promotores, empresários, donos de obra, empreiteiros, gestores de projecto e consultores, um conjunto de dados qualitativos que ajudou a caracterizar e perceber melhor esta problemática. Seguidamente, apresentou-se um estudo de caso que poderá servir de modelo para projectos futuros. Os resultados obtidos vão de encontro à literatura estudada e permitiram concluir que a utilização das ferramentas e técnicas de gestão de risco são um ponto chave para o sucesso dos projectos imobiliários.Nowadays, real estate companies deal with budgets and deadlines for running increasingly short. For other hand, the competitiveness is too high between this kind of companies. Many projects fail to achieve their desired success due to factors that, most of the time, could have been mitigated if due actions were taken in a timely manner. In this way, risk management have a key role in the success and optimization of projects. This study appears in order to understand the reasons that may cause the deviation in terms of cost, time and quality in the real estate market in Portugal, with a view to developing a method for predicting the risks inherent to the projects and presenting strategies and plans to respond to the risks, so that in the future, real estate companies can achieve the proposed objectives with the desired success. Data collection was conducted through an interview and the target audience were promoters, business owners, project managers and consultants from real estate market. Next, a case study was presented that could serve as a model for future projects. The results obtained that contribute to the existing literature and allowed to conclude that the use of risk management tools and techniques are a key point for the success of real estate projects

MAMMALS IN PORTUGAL : A data set of terrestrial, volant, and marine mammal occurrences in P ortugal

Mammals are threatened worldwide, with 26% of all species being includedin the IUCN threatened categories. This overall pattern is primarily associatedwith habitat loss or degradation, and human persecution for terrestrial mam-mals, and pollution, open net fishing, climate change, and prey depletion formarine mammals. Mammals play a key role in maintaining ecosystems func-tionality and resilience, and therefore information on their distribution is cru-cial to delineate and support conservation actions. MAMMALS INPORTUGAL is a publicly available data set compiling unpublishedgeoreferenced occurrence records of 92 terrestrial, volant, and marine mam-mals in mainland Portugal and archipelagos of the Azores and Madeira thatincludes 105,026 data entries between 1873 and 2021 (72% of the data occur-ring in 2000 and 2021). The methods used to collect the data were: live obser-vations/captures (43%), sign surveys (35%), camera trapping (16%),bioacoustics surveys (4%) and radiotracking, and inquiries that represent lessthan 1% of the records. The data set includes 13 types of records: (1) burrowsjsoil moundsjtunnel, (2) capture, (3) colony, (4) dead animaljhairjskullsjjaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8),observation in shelters, (9) photo trappingjvideo, (10) predators dietjpelletsjpine cones/nuts, (11) scatjtrackjditch, (12) telemetry and (13) vocalizationjecholocation. The spatial uncertainty of most records ranges between 0 and100 m (76%). Rodentia (n=31,573) has the highest number of records followedby Chiroptera (n=18,857), Carnivora (n=18,594), Lagomorpha (n=17,496),Cetartiodactyla (n=11,568) and Eulipotyphla (n=7008). The data setincludes records of species classified by the IUCN as threatened(e.g.,Oryctolagus cuniculus[n=12,159],Monachus monachus[n=1,512],andLynx pardinus[n=197]). We believe that this data set may stimulate thepublication of other European countries data sets that would certainly contrib-ute to ecology and conservation-related research, and therefore assisting onthe development of more accurate and tailored conservation managementstrategies for each species. There are no copyright restrictions; please cite thisdata paper when the data are used in publications.info:eu-repo/semantics/publishedVersio

Mammals in Portugal: a data set of terrestrial, volant, and marine mammal occurrences in Portugal

Mammals are threatened worldwide, with ~26% of all species being included in the IUCN threatened categories. This overall pattern is primarily associated with habitat loss or degradation, and human persecution for terrestrial mammals, and pollution, open net fishing, climate change, and prey depletion for marine mammals. Mammals play a key role in maintaining ecosystems functionality and resilience, and therefore information on their distribution is crucial to delineate and support conservation actions. MAMMALS IN PORTUGAL is a publicly available data set compiling unpublished georeferenced occurrence records of 92 terrestrial, volant, and marine mammals in mainland Portugal and archipelagos of the Azores and Madeira that includes 105,026 data entries between 1873 and 2021 (72% of the data occurring in 2000 and 2021). The methods used to collect the data were: live observations/captures (43%), sign surveys (35%), camera trapping (16%), bioacoustics surveys (4%) and radiotracking, and inquiries that represent less than 1% of the records. The data set includes 13 types of records: (1) burrows | soil mounds | tunnel, (2) capture, (3) colony, (4) dead animal | hair | skulls | jaws, (5) genetic confirmation, (6) inquiries, (7) observation of live animal (8), observation in shelters, (9) photo trapping | video, (10) predators diet | pellets | pine cones/nuts, (11) scat | track | ditch, (12) telemetry and (13) vocalization | echolocation. The spatial uncertainty of most records ranges between 0 and 100 m (76%). Rodentia (n =31,573) has the highest number of records followed by Chiroptera (n = 18,857), Carnivora (n = 18,594), Lagomorpha (n = 17,496), Cetartiodactyla (n = 11,568) and Eulipotyphla (n = 7008). The data set includes records of species classified by the IUCN as threatened (e.g., Oryctolagus cuniculus [n = 12,159], Monachus monachus [n = 1,512], and Lynx pardinus [n = 197]). We believe that this data set may stimulate the publication of other European countries data sets that would certainly contribute to ecology and conservation-related research, and therefore assisting on the development of more accurate and tailored conservation management strategies for each species. There are no copyright restrictions; please cite this data paper when the data are used in publications