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Dataset results
12 results for “urban metabolism”
Supplementary Material 4 (Spatio-temporal metabolic rifts in urban construction material circularity)
<p>This video map shows the relative changes in environmental impacts at different locations per year for 2017-2050.</p>
Supplementary Material 1-3 (Spatio-temporal metabolic rifts in urban construction material circularity)
<p>Dataset 1 contains life cycle impact factors used for each stage of the urban metabolism for all spatial levels.</p> <p>Dataset 2 contains the transport distances and modes from supplier locations for all spatial levels.</p> <p>Dataset 3 contains material flow and life cycle impact assessment results for each year (2017-2050) and all spatial levels.</p>
URBANWASTE - Dataset 1 URBAN_METABOLISM_DATA
<p><strong>General description</strong></p> <p>Within URBANWASTE Work Package 2 data from the pilot cases needed to perform the metabolic analysis was collected. In this sense, mainly data regarding <strong>waste generation and management, tourism (accommodation capacity, tourist flows, tourism economy) and socio-economic data</strong> of each pilot was collected.</p> <p>The indicator sets finally collected were previously cross-checked with the 11 URBANWASTE Pilot Cases regarding data availability on pilot case scale to ensure their suitability and practicability to answer specific URBANWASTE questions. This cross-checking was done by the means of performing a “Survey on data availability” within Task 2.3.</p> <p><strong>Origin, Nature and scale of data</strong></p> <p>For data collection, all pilot cases partners received an empty excel database divided into three thematic areas (waste related data, socio-economic data and tourism related data). In case the pilot case partners did not have access to the requested information, other organisations such as local municipal departments, waste management companies, tourism associations, national statistical agencies etc. were contacted by them for support in data provision.</p> <p>The data collected with these databases mainly represent statistical data. For transparency reasons, data sources were to be specified as well.</p> <p>The spatial scale of the collected data was supposed to be the pilot case area (meaning for the whole city, municipality or metropolitan area). As data on this small scale was not available for all data sets, some of the provided data is on regional or even national level. For ensuring transparency, the spatial scale had to be specified for each data set. According to the type of indicators, the temporal scale varies from annual data to monthly data.</p> <p>For selected data sets, time series data at annual scale were collected for the period 2000 – 2015. For some selected data sets (e.g. waste quantities, tourist arrivals & overnight stays), additionally, also time series on monthly scale were collected for the period 2013 – 2015.</p> <p><strong>Data Format</strong></p> <p>The database prepared to collect the data needed for performing the metabolic analysis was divided into three thematic areas, which are further divided in categories as indicated below:</p> <p><em><strong>Waste related data</strong></em></p> <p>- Waste generation and waste quantities [number]</p> <p>- Waste prevention [text] [number]</p> <p>- Waste management [number] [%] [€]</p> <p><em><strong>Socio-economic data</strong></em></p> <p>- Description of the pilot case [number] [km²]</p> <p>- Economy [number] [%] [€]</p> <p>- Society [number] [%]</p> <p>- Building statistics [%]</p> <p><em><strong>Tourism related data</strong></em></p> <p>- Tourism economy [€]</p> <p>- Accommodation capacity [number]</p> <p>- Tourist flows [number]</p> <p>- Other tourism related information<strong> </strong>[number]</p> <p>Each category contains a lot of indicators, each indicator being identified by a data ID, a unit, and a spatial scale. Data sources had to be specified as well. When needed, the definitions of these indicators were added directly in the database template.</p> <p>In total, 48 data sets (some of them further divided into sub-sets) were collected. Most of the collected data represent quantitative data in the format of [number], [%] [€] or [km²].</p> <p>The data on urban metabolism received from the pilot cases is stored in 1 excel database.</p> <p> </p> <p><strong>Further Information and Contact</strong></p> <p>The <strong>data </strong>on waste generation and management, socio-economic data and tourism data used for all the assessments performed within Work Package 2 and presented in this report <strong>was provided by the URBANWASTE pilot cases</strong>. More detailed information is contained within the database.</p> <p><strong>In case of questions related to this database please contact: abf@boku.ac.at</strong></p> <p> </p> <p>For more information on the <strong>URBANWASTE </strong>project please visit: http://www.urban-waste.eu/</p>
Metabolic and behavioral adaptations of greater white-toothed shrews to urban conditions
<p class="MsoNoSpacing">The global trend of urbanization is creating novel challenges to many animal species. Studies investigating behavioral differences between rural and urban populations often report a general increase in risk-taking behaviors in urban populations. According to the most common energy management model (the performance model), behaviors that increase access to resources, such as aggression and boldness, and behaviors that consume net energy, like locomotion and stress responses, are both positively correlated to resting metabolic rate (RMR). Thus, we expect urban populations to not only exhibit a higher level of risk-taking behavior but also a higher RMR. However, these interactions remain poorly investigated. Our main goal was to analyze the relationship between RMR and risk-taking behaviors in the greater white-toothed shrew (<i>Crocidura russula</i>) in rural vs. urban populations. Trapped shrews were brought to captivity where we measured RMR, boldness and exploration rate three times in each individual. Our findings revealed urban shrews were indeed bolder and more exploratory, but contrary to our expectations, their RMR was lower than that of rural shrews. This is likely explained by differences in the environmental conditions of these two habitats, such as higher ambient temperatures and/or lower prey availability in cities. When looking at each population separately, this relationship remained similar: urban shrews with a higher RMR were less bold, and rural shrews with a higher RMR showed a lower exploration rate. We conclude the energetic strategy of <i>C. russula</i> is dependent on the environmental and observational context and cannot be explained by the performance model.</p>
Selected references for analyzing the urban metabolism term and the urban metabolism concept
<p>This file contains textual data and metadata collected within the framework of a research project on the concept of urban metabolism headed by Professor Daniela Perrotti and supported by the Belgian Fund for Scientific Reseach F.R.S-FNRS under Grant n° MIS-F.4536.22. </p> <p> </p>
Metabolic and behavioral adaptations of greater white-toothed shrews to urban conditions
Open the record for dataset details and reuse information.
Urban / rural acorn ant metabolic rate and running speed
<p>Metabolic rates of ectotherms are expected to increase with global trends of climatic warming. But the potential for rapid, compensatory evolution of lower metabolic rate in response to rising temperatures is only starting to be explored. Here, we explored rapid evolution of metabolic rate and locomotor performance in acorn-dwelling ants (<i>Temnothorax curvispinosus</i>) in response to urban heat island effects. We reared ant colonies within a laboratory common garden (25 °C) to generate a lab-born cohort of workers and tested their acute plastic responses to temperature. Contrary to expectations, urban ants exhibited a higher metabolic rate compared with rural ants when tested at 25 °C, suggesting a potentially maladaptive evolutionary response to urbanization. Urban and rural ants had similar metabolic rates when tested at 38 °C, as a consequence of a diminished plastic response of the urban ants. Locomotor performance also evolved such that the running speed of urban ants was faster than rural ants under warmer test temperatures (32 and 42 °C) but slower under a cooler test temperature (22 °C). The resulting specialist-generalist tradeoff and higher thermal optimum for locomotor performance might compensate for evolved increases in metabolic rate by allowing workers to more quickly scout and retrieve resources.</p>
Food Literacy and Physical Activity Intervention to Optimize Metabolic Health Among Women in Urban Uganda
ClinicalTrials.gov study NCT04635332. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Urban / rural acorn ant metabolic rate and running speed
Open the record for dataset details and reuse information.
Metabolic Characteristics of Lean Diabetes in Rural and Semi-urban India and in the United States
ClinicalTrials.gov study NCT02987335. IPD Sharing: Not stated. Countries: 0. Publications: 0.
The Prevalence of Metabolic Syndrome and Its Associated Factors in an Urban City
ClinicalTrials.gov study NCT00308672. IPD Sharing: Not stated. Countries: 1. Publications: 0.
The Metabolic Impact of Bariatric Surgery Compared to Best Diabetic Care on Manitoba's Urban Indigenous Population
ClinicalTrials.gov study NCT03301545. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
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