69 results match your criteria: "Institute of Geography and Spatial Planning[Affiliation]"

Spatiotemporal analysis of mosquito-borne infections and mosquito vectors in mainland Portugal.

BMC Infect Dis

January 2025

EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Rua das Taipas, nº 135, Porto, 4050 - 600, Portugal.

Background: The incidence of mosquito-borne infections has increased worldwide. Mainland Portugal's characteristics might favour the (re)emergence of mosquito-borne diseases. This study aimed to characterize the spatial distribution of vectors and notification rates of imported cases of mosquito-borne infections in mainland Portugal and demarcate the areas where these geographies overlap.

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People&Fire webGIS tool for wildfire risk assessment.

MethodsX

June 2024

University of Lisbon, Centre of Geographical Studies, Institute of Geography and Spatial Planning, 1600-276 Lisbon, Portugal.

People&Fire webGIS tool is an application for wildfire risk assessment, focused on obtaining simulating hazard and risk scenarios centred on land use transformation. This tool is a decision-support platform created in the context of a research project, which was dedicated to testing a new analytical framework for supporting the development and evaluation of new, integrated, and people-centred policy approaches to wildfires. The simulator used in the tool is based on the wildfire risk model that results from the combination of three components: hazard (H), exposure (E), and social vulnerability (SV).

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Land use impacts land surface temperature (LST), especially in urban areas where anthropogenic materials have a high capacity to store energy. Nevertheless, cities have many other land uses (e.g.

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Mapping the wildland-urban interface at municipal level for wildfire exposure analysis in mainland Portugal.

J Environ Manage

September 2024

Centre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Portugal; Associate Laboratory TERRA, Portugal.

The Wildland-Urban Interface (WUI), where vegetation and built-up structures intermingle, encompasses a variety of territorial elements that interact spatially, being variable both in space and time. Mapping the WUI at finer scales is paramount to assess wildfire exposure and define tailored mitigation strategies. Our aim was to develop a semi-automated method to map the WUI at municipal level, leveraging recent advances in data and technology.

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Predicting the risk of invasion by broadleaf watermilfoil () in mainland Portugal.

Heliyon

July 2024

Centre of Geographical Studies, Institute of Geography and Spatial Planning, University of Lisbon, Rua Branca Edmée Marques, 1600-276 Lisboa, Portugal.

Broadleaf water milfoil () is an emerging invasive alien plant in Europe, and thus a priority for European Union (EU)-level surveillance, monitoring, and eradication. This species is native to North America and threatens aquatic ecosystems by creating dense stands that can fill an entire water body, leading to high economic costs and the loss of native biodiversity. Although its presence in Portugal is not reported, the species has already been established in several European countries, including neighboring Spain.

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Article Synopsis
  • Long-term observational data is scarce, limiting the prediction of ecological variations using traditional statistical or machine-learning methods.
  • A new framework utilizes citizen-science data and machine-learning to model ecological observations based on environmental conditions, enhancing prediction accuracy.
  • This approach demonstrates the potential of using citizen-science data for real-time predictions of ecological events across large areas, making it accessible for ecologists and practitioners.
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The ecological impact of non-native species arises from their establishment in local assemblages. However, the rates of non-native spread in new regions and their determinants have not been comprehensively studied. Here, we combined global databases documenting the occurrence of non-native species and residence of non-native birds, mammals, and vascular plants at regional and local scales to describe how the likelihood of non-native occurrence and their proportion in local assemblages relate with their residence time and levels of human usage in different ecosystems.

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Nowadays, epidemiological modeling is applied to a wide range of diseases, communicable and non-communicable, namely AIDS, Ebola, influenza, Dengue, Malaria, Zika. More recently, in the context of the last pandemic declared by the World Health Organization (WHO), several studies applied these models to SARS-CoV-2. Despite the increasing number of researches using spatial analysis, some constraints persist that prevent more complex modeling such as capturing local epidemiological dynamics or capturing the real patterns and dynamics.

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Assessing wildfire exposure and social vulnerability at the local scale using a GIS-based approach.

MethodsX

June 2024

Centre of Geographical Studies, Associate Laboratory TERRA, Institute of Geography and Spatial Planning, University of Lisbon, Lisbon 1600-276, Portugal.

Exposure and vulnerability analysis are valuable tools for wildfire management, especially important for local communities that suffer from very destructive events and that require mitigation approaches adjusted to their abilities and needs. We present a methodological procedure to analyze wildfire exposure levels, social vulnerability conditions and coping capacity at the local scale, for villages or small human settlements. The procedure was developed using GIS (Geographic Information Systems) and programming tools in R and Python, which can be adapted and updated depending on the data available.

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The Anthropocene is characterized by a rapid pace of environmental change and is causing a multitude of biotic responses, including those that affect the spatial distribution of species. Lagged responses are frequent and species distributions and assemblages are consequently pushed into a disequilibrium state. How the characteristics of environmental change-for example, gradual 'press' disturbances such as rising temperatures due to climate change versus infrequent 'pulse' disturbances such as extreme events-affect the magnitude of responses and the relaxation times of biota has been insufficiently explored.

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In this initial study of a research project, this paper seeks to understand the thermal conditions in the cities of Lisbon and Munich, specifically focusing on Urban Heat Island intensity and on thermal comfort using the Universal Thermal Climate Index modeling data at the Local Climate Zone scale. Based on these datasets, Munich has exhibited more unfavourable thermal conditions than Lisbon. In terms of UHII, both cities have shown that low, medium, and high rise compact urban areas and bare rock or paved areas have the highest values, while sparsely built areas have the lowest.

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Urbanization is an important driver of global change associated with a set of environmental modifications that affect the introduction and distribution of invasive non-native species (species with populations transported by humans beyond their natural biogeographic range that established and are spreading in their introduced range; hereafter, invasive species). These species are recognized as a cause of large ecological and economic losses. Nevertheless, the economic impacts of these species in urban areas are still poorly understood.

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Long-term urban land use data in Maputo, Mozambique: A comprehensive dataset covering five decades (1964-2001).

Data Brief

October 2023

Centre of Geographical Studies, Institute of Geography and Spatial Planning, Edificio I, Universidade de Lisboa, R. Branca Edmée Marques, Lisboa 1600-276, Portugal.

Rapid urban change and expansion pose significant challenges in the Global South, and Maputo, Mozambique, is no exception to this phenomenon. Among the multifaceted dimensions of urban transformations, land use stands out as a key factor in urban planning. The implications on environmental aspects, availability of land for public services, and overall quality of life make understanding these issues crucial.

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It Was Not the Perfect Storm: The Social History of the HIV-2 Virus in Guinea-Bissau.

Trop Med Infect Dis

May 2023

Centre for Geographical Studies, Institute of Geography and Spatial Planning, Universidade de Lisboa, 1600-276 Lisboa, Portugal.

The perfect storm model that was elaborated for the HIV-1M pandemic has also been used to explain the emergence of HIV-2, a second human immunodeficiency virus-acquired immunodeficiency syndrome (HIV-AIDS) that became an epidemic in Guinea-Bissau, West Africa. The use of this model creates epidemiological generalizations, ecological oversimplifications and historical misunderstandings as its assumptions-an urban center with explosive population growth, a high level of commercial sex and a surge in STDs, a network of mechanical transport and country-wide, en masse mobile campaigns-are absent from the historical record. This model fails to explain how the HIV-2 epidemic actually came about.

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Groundwater quality in Zagora southeast of Morocco by using physicochemical analysis and geospatial techniques.

Environ Monit Assess

April 2023

Laboratory of Bioresources and Food Safety, Faculty of Sciences and Technology, Cadi Ayyad University, 112Bd. Abdelkrim Al Khattabi, 549, 40000, Marrakech, Morocco.

Groundwater in Morocco is restricted because of the semiarid to arid climatic conditions; it is under threat from organic and inorganic pollution. Furthermore, it is considered the only source of potable water as well as having different usages, making its quantitative and qualitative protection an urgent priority. The present study focused mainly on the anthropogenic impact on the natural resources and groundwater quality around Zagora city.

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Assessing preferences of recreational activities related to cultural ecosystem services (CES) in urban areas is essential for decision-making and urban green space (UGS) management. This work aims to assess the preferences and factors (based on socio-demographic and motivation variables) influencing CES-related activities in Vilnius, Lithuania, to provide scientific knowledge to support more efficient UGS design and management. Participatory mapping was reported as relevant for urban park planning and decision-making and was applied to identify spatially explicit CES.

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Background: COVID-19 caused the largest pandemic of the twenty-first century forcing the adoption of containment policies all over the world. Many studies on COVID-19 health determinants have been conducted, mainly using multivariate methods and geographic information systems (GIS), but few attempted to demonstrate how knowing social, economic, mobility, behavioural, and other spatial determinants and their effects can help to contain the disease. For example, in mainland Portugal, non-pharmacological interventions (NPI) were primarily dependent on epidemiological indicators and ignored the spatial variation of susceptibility to infection.

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A horizon scan exercise for aquatic invasive alien species in Iberian inland waters.

Sci Total Environ

April 2023

Department of Zoology and Physical Anthropology, Faculty of Biology, University of Murcia, CEIR Campus Mare Nostrum (CMN), Murcia, Spain.

As the number of introduced species keeps increasing unabatedly, identifying and prioritising current and potential Invasive Alien Species (IAS) has become essential to manage them. Horizon Scanning (HS), defined as an exploration of potential threats, is considered a fundamental component of IAS management. By combining scientific knowledge on taxa with expert opinion, we identified the most relevant aquatic IAS in the Iberian Peninsula, i.

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Beyond Usual Geographical Scales of Analysis: Implications for Healthcare Management and Urban Planning.

Port J Public Health

February 2023

ISAMB - Instituto de Saúde Ambiental, Instituto de Medicina Preventiva, Faculdade de Medicina da Universidade de Lisboa, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal.

Introduction: In the context of climate emergency, advances in geographic information systems, geocoding, and geomedicine allow us to go beyond the conventional usual scales and be aligned with people's needs, improving knowledge and accuracy of the spatial pattern of health outcomes. This study shows that the geographical scale of analysis affects the interpretation of health outcomes.

Methods: All mortality that occurred in Portugal in 2014-2017 was geocoded.

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Our ability to predict the spread of alien species is largely based on knowledge of previous invasion dynamics of individual species. However, in view of the large and growing number of alien species, understanding universal spread patterns common among taxa but specific to regions would considerably improve our ability to predict future dynamics of biological invasions. Here, using a comprehensive dataset of years of first record of alien species for four major biological groups (birds, nonmarine fishes, insects, and vascular plants), we applied a network approach to uncover frequent sequential patterns of first recordings of alien species across countries worldwide.

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Background: Cities are becoming the socio-economic hubs for most of the world's population. Understanding how our surroundings can mentally affect everyday life has become crucial to integrate environmental sustainability into urban development. The present review aims to explore the empirical studies investigating neural mechanisms underlying cognitive and emotional processes elicited by the exposure to different urban built and natural spaces.

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This work aims to map and assess the recreational culture ecosystem services (CES) supply and demand in Vilnius. A novel framework individually assessed natural recreational CES supply and cultural recreational CES supply dimensions. So far, the previous works did not consider both CES components individually.

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The current and future distribution of the yellow fever mosquito (Aedes aegypti) on Madeira Island.

PLoS Negl Trop Dis

September 2022

Global Health and Tropical Medicine, Instituto de Higiene e Medicina Tropical, Universidade Nova de Lisboa, Lisbon, Portugal.

Article Synopsis
  • - The Aedes aegypti mosquito, linked to diseases like dengue and yellow fever, was first reported on Madeira Island in 2005 and caused a dengue outbreak between 2012 and 2013, affecting thousands of people.
  • - This study evaluates the current and future distribution of the mosquito on the island based on climatic and human factors, using various modeling techniques to achieve accurate predictions.
  • - Findings suggest that current suitable habitats are primarily in warm, populated coastal areas, with projections indicating a shift to more areas, including higher altitudes, by the mid-century, highlighting the need to address climate change in pest management strategies.
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Coastal recreation as a cultural ecosystem service (CES) is key to human wellbeing. However, anthropogenic impacts at the coast affect CES supply. Mapping and assessing CES can help achieve better coastal planning and management of the coast.

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Commuting flows and long-distance travel are important spreading factors of viruses and particularly airborne ones. Therefore, it is relevant to examine the association among diverse mobility scenarios and the spatial dissemination of SARS-CoV-2 cases. We intended to analyze the patterns of virus spreading linked to different mobility scenarios, in order to better comprehend the effect of the lockdown measures, and how such measures can be better informed.

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