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594 results for “demographic data”
Data for the manuscript: Demographic basis of spatially structured fluctuations in a threespine stickleback metapopulation
<p>Uncovering the demographic basis of population fluctuations is a central goal of population biology. This is particularly challenging for spatially structured populations, which require disentangling synchrony in demographic rates from coupling via immigration. In this study, we fit a stage-structured metapopulation model to a 29-year times series of threespine stickleback abundance in the heterogeneous and productive Lake Myvatn, Iceland. The lake comprises two basins (North and South) connected by a channel through which the stickleback disperse. The model includes time-varying demographic rates, allowing us to assess the potential contributions of recruitment and survival, spatial coupling via immigration, and demographic transience to the population's large fluctuations in abundance. Our analyses indicate that recruitment was only modestly synchronized between the two basins, whereas survival probabilities of adults were more strongly synchronized, contributing to cyclic fluctuations in the lake-wide population size with a period of approximately six years. The analyses further show that the two basins are coupled through immigration, with the North Basin subsidizing the South Basin and playing a dominant role in driving the lake-wide dynamics. Our results show that cyclic fluctuations of a metapopulation can be explained in terms of the combined effects of synchronized demographic rates and spatial coupling.</p>
A dataset of anonymised hospitalised COVID-19 patient data: outcomes, demographics and biomarker measurements for two New York hospitals
<p>These datasets are for a cohort of n=1540 anonymised hospitalised COVID-19 patients, and the data provide information on outcomes (i.e. patient death or discharge), demographics and biomarker measurements for two New York hospitals: State<br> University of New York (SUNY) Downstate Health Sciences University and Maimonides<br> Medical Center.</p> <p>The file "demographics_both_hospitals.csv" contains the ultimate outcomes of hospitalisation (whether a patient was discharged or died), demographic information and known comorbidities for each of the patients.</p> <p>The file "dynamics_clean_both_hospitals.csv" contains cleaned dynamic biomarker measurements for the n=1233 patients where this information was available and the data passed our various checks (see https://doi.org/10.1101/2021.11.12.21266248 for information of these checks and the cleaning process). Patients can be matched to demographic data via the "id" column.</p> <p><strong>Study approval and data collection</strong></p> <p>Study approval was obtained from the State University of New York (SUNY) Downstate Health Sciences University Institutional Review Board (IRB\#1595271-1) and Maimonides Medical Center Institutional Review Board/Research Committee (IRB\#2020-05-07). A retrospective query was performed among the patients who were admitted to SUNY Downstate Medical Center and Maimonides Medical Center with COVID-19-related symptoms, which was subsequently confirmed by RT PCR, from the beginning of February 2020 until the end of May 2020. Stratified randomization was used to select at least 500 patients who were discharged and 500 patients who died due to the complications of COVID-19. Patient outcome was recorded as a binary choice of “discharged” versus “COVID-19 related mortality”. Patients whose outcome was unknown were excluded. Demographic, clinical history and laboratory data was extracted from the hospital’s electronic health records.</p>
Data from: Non-native grazers affect physiological and demographic responses of Greater Sage-grouse
<p>1. Non-native ungulate grazing has negatively impacted native species across the globe, leading to massive loss of biodiversity and ecosystem services. Despite their pervasiveness, interactions between non-native grazers and native species are not fully understood. We often observe declines in demography or survival of these native species, but lack understanding about the mechanisms underlying these declines. Physiological stress represents one mechanism of (mal)adaptation but data are sparse.</p> <p>2. We investigated glucocorticoid levels in a native avian herbivore exposed to different intensities of non-native grazing in the cold desert Great Basin ecosystem, USA. We measured corticosterone, a glucocorticoid in feathers for a large sample (n = 280) of female Greater Sage-grouse (Centrocercus urophasianus) from three study areas in Northern Nevada and Southern Oregon with different grazing regimes of livestock and feral horses.</p> <p>3. We found greater feral horse density was associated with higher corticosterone levels, and this effect was exacerbated by drought conditions. Livestock grazing produced similar results; however there was more model uncertainty about the livestock effect. Subsequent nesting success was lower with increased feather corticosterone, but corticosterone levels were not predictive of other vital rates.</p> <p>4. Our results indicate a physiological response by sage-grouse to grazing pressure from non-native grazers. We found substantial among-individual variation in the strength of the response. These adverse effects were intensified during unfavorable weather events, highlighting the need to reevaluate management strategies in the face of climate change.</p>
Data from: Density-dependence produces spurious relationships among demographic parameters in a harvested species
<p>1. Harvest of wild organisms is an important component of human culture, economy, and recreation, but can also put species at risk of extinction. Decisions that guide successful management actions therefore rely on the ability of researchers to link changes in demographic processes to the anthropogenic actions or environmental changes that underlie variation in demographic parameters. </p> <p>2. Ecologists often use population models or maximum sustained yield curves to estimate the impacts of harvest on wildlife and fish populations. Applications of these models usually focus exclusively on the impact of harvest and often fail to consider adequately other potential, often collinear, mechanistic drivers of the observed relationships between harvest and demographic rates. In this study, we used an integrated population model and long-term data (1973-2016) to examine the relationships among hunting and natural mortality, the number of hunters, habitat conditions, and population size of blue-winged teal (Spatula discors), an abundant North American dabbling duck with a relatively fast-paced life history strategy.</p> <p>3. Over the last two and a half decades of the study, teal abundance tripled, hunting mortality probability increased slightly (< 0.02), and natural mortality probability increased substantially (> 0.1) at greater population densities. We demonstrate strong density-dependent effects on natural mortality and fecundity as population density increased, indicative of compensatory harvest mortality and compensatory natality. Critically, an analysis that only assessed the relationship between survival and hunting mortality would spuriously indicate depensatory hunting mortality due to multicollinearity between abundance, natural mortality, and hunting mortality. </p> <p>4. Our findings demonstrate that models that only consider the direct effect of hunting on survival or natural mortality can fail to accurately assess the mechanistic impact of hunting on population dynamics due to multicollinearity among demographic drivers. This multicollinearity limits inference and may have strong impacts on applied management actions globally.</p>
Data from: Island-wide characterization of agricultural production challenges the demographic collapse hypothesis for Rapa Nui (Easter Island)
<p>Communities in resource-poor areas face health, food production, sustainability, and overall survival challenges. Consequently, they are commonly featured in global debates surrounding societal collapse. Rapa Nui (Easter Island) is often used as an example of how over-exploitation of limited resources resulted in a catastrophic population collapse. A vital component of this narrative is that the rapid rise and fall of pre-contact Rapanui population growth rates was driven by the construction and overexploitation of once extensive rock gardens. However, the extent of island-wide rock gardening, while key for understanding food systems and demography, must be better understood. Here, we use shortwave infrared (SWIR) satellite imagery and machine learning to generate an islandwide estimate of rock gardening and re-evaluate prior population size models for Rapa Nui. We show that the extent of this agricultural infrastructure is substantially less than previously claimed and likely could not have supported the large population sizes that have been assumed.</p>
A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals (16S rRNA gene sequencing data)
<p>Microbiome data accompanying manuscript "A Comprehensive Assessment of Demographic, Environmental and Host Genetic Associations with Gut Microbiome Diversity in Healthy Individuals". Data is available for alpha- and beta- diversity, as well as for individual taxa both in binary and quantitative phenotypic representation. Data is available for 827 individuals that gave consent for their data to be shared outside of the Milieu intérieur consortium. </p>
Data: Testing the mating system model of parasite complex life cycle evolution reveals demographically driven mixed mating
<p>Abstract: Many parasite species use multiple host species to complete development; however, empirical tests of models that seek to understand factors impacting evolutionary changes or maintenance of host number in parasite life cycles are scarce. Specifically, Brown et al.’s (2001) mating system model, which posits multi-host life cycles are an adaptation to prevent inbreeding in hermaphroditic parasites and thus, preclude inbreeding depression, remains untested. The model assumes loss of a host results in parasite inbreeding and predicts host loss can only evolve if there is no parasite inbreeding depression. <a name="_Hlk169780726"></a>We provide the first empirical tests of this model using a novel approach we developed for assessing inbreeding depression from field-collected, parasite samples. The method compares genetically-based, selfing-rate estimates to a demographic-based selfing rate, which was derived from the closed mating system experienced by endoparasites. Results from the hermaphroditic trematode <em>Alloglossidium renale</em>, which has a derived 2-host life cycle, supported both the assumption and prediction of the mating system model as this highly inbred species had no indication of inbreeding depression. Additionally, comparisons of genetic and demographic selfing rates revealed <a name="_Hlk169781073"></a>a mixed mating system that could be explained completely by the parasite’s demography, i.e., its infection intensities.</p>
MANET: uncertainty in demographics – data on population projections
<p>This is a repository of global and regional human population data collected from: the databases of scenarios assessed by the Intergovernmental Panel on Climate Change (Sixth Assessment Report, Special Report on 1.5 C; Fifth Assessment Report), multi-national databases of population projections (World Bank, International Database, United Nation population projections), and other very long-term population projections (Resources for the Future).</p> <p>More specifically, it contains:</p> <p>- in `other_pop_data` folder files from <a href="https://databank.worldbank.org/source/population-estimates-and-projections">World Bank,</a> the <a href="https://www.census.gov/data-tools/demo/idb/#/dashboard?COUNTRY_YEAR=2023&COUNTRY_YR_ANIM=2023">International Database</a> from the US Census, and from <a href="https://ghdx.healthdata.org/record/ihme-data/global-population-forecasts-2017-2100">IHME</a></p> <p>- in the `SSP` folder, the Shared Socioeconomic Pathways, as in the version 2.0 downloaded from <a href="https://tntcat.iiasa.ac.at/SspDb/dsd?Action=htmlpage&page=10">IIASA</a> and as in the version 3.0 downloaded from <a href="https://data.ece.iiasa.ac.at/ssp/#/workspaces">IIASA workspace</a></p> <p>- in the `UN` folder, the demographic projections from <a href="https://population.un.org/wpp/Download/Standard/Population/">UN</a></p> <p>- `IAMstat.xlsx`, an overview file of the metadata accompanying the scenarios present in the IPCC databases</p> <p>- `RFF.csv`, an overview file containing the population projections obtained by <a href="../record/6016583#.Y42iFuzP2rP">Resources For the Future</a> </p> <p>'- the remaining `.csv` files with names `AR6#`, `AR5#`, `IAMC15#` contain the IPCC scenarios assessed by the IPCC for preparing the IPCC assessment reports. They can be downloaded from <a href="https://tntcat.iiasa.ac.at/AR5DB">AR5</a>, <a href="https://data.ene.iiasa.ac.at/iamc-1.5c-explorer/#/downloads">SR 1.5</a>, and <a href="https://data.ene.iiasa.ac.at/ar6/#/workspaces">AR6</a></p> <p>This data in intended to be downloaded for use together with the package downloadable <a href="https://github.com/sgiarols/Climate_Scenario_Data_Science">here</a>.</p> <p>The dataset was used as a supporting material for the paper "Underestimating demographic uncertainties in the synthesis process of the IPCC" accepted on npj Climate Action (DOI : 10.1038/s44168-024-00152-y).</p>
Demographic data of US Counties Estimation 2019
<p>US government demographic data for all US counties estimated in 2019 including state, county, region, area land, area water, coordinates, birth rate, death rate, immigrants, </p>
Supporting data and code for: Demographic and genetic impacts of powdery mildew in a young oak cohort
<p>This is a new release following the submission of the related PCI recommended manuscript to the <em>Annals of Forest Science</em> journal. It contains the necessary scripts to produce most of the analyses and figures of the manuscript. Apart from minor modifications following the recommendation in '<em>PCI Forest and Wood Sciences</em>', the main change is the addition of an extra dataset "Data_S2.txt" to the additional datasets. This dataset was previously included as a table in the 'supplementary material' file.</p>
Data from: Genetic diversity in a long-lived mammal is explained by the past's demographic shadow and current connectivity
<p>Within-species genetic diversity is crucial for the persistence and integrity of populations and ecosystems. Conservation actions require an understanding of factors influencing genetic diversity, especially in the context of global change. Both population size and connectivity are factors greatly influencing genetic diversity; the relative importance of these factors can however change through time. Hence, quantifying the degree to which population size or genetic connectivity are shaping genetic diversity, and at which ecological time scale (past or present), is challenging, yet essential for the development of efficient conservation strategies. In this study, we estimated the genetic diversity of 42 colonies of <i>Rhinolophus hipposideros,</i> a long-lived mammal vulnerable to global change, sampling locations spanning its continental northern range. We present an integrative approach that disentangles and quantifies the contribution of different connectivity measures in addition to contemporary colony size and historic bottlenecks in shaping genetic diversity. In our study, the best model explained 64% of the variation in genetic diversity. It included historic bottlenecks, contemporary colony sizes, connectivity and a negative interaction between the latter two. Contemporary connectivity explained most genetic diversity when considering a 65 km radius around the focal colonies, emphasizing the large geographic scale at which the positive impact of connectivity on genetic diversity is most profound and hence the minimum scale at which conservation should be planned. Our results highlight that the relative importance of the two main factors shaping genetic diversity varies through time, emphasizing the relevance of disentangling them to ensure appropriate conservation strategies.</p>
BIO4AFRICA_Co-definition of technologies to be transferred with local farmers and communities - Technology Validation Data (Demographics)_D1.4_311022_1
<p>Validation Data (Demographics) for Task 1.4: Co-definition of technologies to be transferred with local farmers and communities.</p>
Data from: Species-specific traits mediate avian demographic responses under past climate change
<p>Anticipating species' responses to environmental change is a<span> pressing mission in biodiversity conservation. Despite decades of research investigating how climate change may affect population sizes, historical context is lacking and the traits which mediate demographic sensitivity to changing climate remain elusive. We use whole-genome sequence data to reconstruct the demographic histories of 263 bird species over the past million years and identify networks of interacting morphological and life-history traits associated with changes in effective population size (<em>N<sub>e</sub></em>) in response to climate warming and cooling. Our results identify direct and indirect effects of key traits representing survival, reproduction, and dispersal processes on long-term demographic responses to climate change and highlight traits most likely to influence population responses to ongoing climate warming.</span></p>
LAGOS-US Race and Ethnicity: Dataset classifying conterminous US lake communities based on racial and ethnic demographic data (v 2.0)
<p>Knowing the consistency of water quality sampling in lakes surrounded by a variety of racial and ethnic communities is important for potential policy uses and to assess community impacts. By using the 2010 US Census race and ethnicity demographic block group data, we analyzed the frequency (i.e., number of years and consistency) of lake water quality sampling according to racial and ethnic demographics in surrounding neighborhoods. Our approach classified human communities near lakes as predominantly White or people of color (POC), and Hispanic or non-Hispanic (NH). Associated R analysis scripts can also be found in this folder. Our data and approach can be used for future studies seeking to analyze environmental monitoring practices in relation to human demographic variables, particularly from US Census data.</p>
Socio-demographic portrait and demographic values of pro-natalists and anti-natalists in Russia: assessment based on data from the social network VKontakte
<p>The dataset contains data from personal profiles of social network users VKontakte - socio-demographic characteristics (gender, age, date of birth, marital status, country and city of residence) and indicators of demographic values (“the main thing in life”, attitude to alcohol, attitude to smoking, pronatalist or anti-natalist), as well as a number of other indicators - religious and political beliefs,<br> "the main thing in people." Initially, as a selection criterion, the authors used belonging user to the relevant communities (groups) of the VKontakte social network, sharing different family and reproductive values (to be a parent, to give birth child, start a family or profess the values of childfree philosophy). For example, persons who were members of groups devoted to "childfree" values were assigned the status "anti-natalist". And individuals in groups devoted to issues of childbirth and family values, parenthood, were assigned the status of "pronatalist". For example, groups with the names "GOOD PARENTS" (https://vk.com/club52388302) and "MOM: Development, Family, Children" (https://vk.com/club69716165) are pronatalist, and groups "The TRUTH about Childfree (Childfree)" (https://vk.com/club58565280) and "Overheard Childfree" (https://vk.com/club69265846) - to anti-natalist ones. The authors extracted comments of users of these two types of groups in the social network VKontakte, applying methods of extraction (parsing) of data from social networks using VK API. Organized open access to databases compiled by us from hundreds<br> thousand comments from users of dozens of groups of two types in more than one and a half decades [Kalabikhina &amp; Banin, 2020; Kalabikhina &amp; Banin, 2021]. Further, the authors linked the data of their personal data to users from these groups.<br> questionnaires. At the second stage, the resulting sample was additionally corrected - in it only those persons who filled in the field "The main thing in life" in the personal questionnaire on VKontakte to determine priority values for users with different types of reproductive behavior. Include in the analysis only those users who answered the question from personal questionnaire on VKontakte about what is most important for them in life, allows reduce the risk of "bots" getting into the sample. We believe that in the questionnaires of bots such fields as "The main thing in life", "The main thing in people" will not be filled in, the indication of this<br> information in the personal profile testifies in favor of the fact that the account is really belongs to a real person. At this stage, the sample included 754,315 users. Additionally, we limited the sample according to the age indicated in the questionnaire. We excluded from the sample users who indicated their age of 80 years and older. We we believe that this is an indirect sign by which it is possible to identify accounts with inaccurate information. The final sample after the introduced restrictions was 377,786 people, it includes users of the social network VKontakte, consisting of groups of anti-natalists and pro-natalists who filled in the information section about themselves item "The main thing in life" minus persons who indicated in the questionnaire that they are over 80 years old.</p>
Data from: Successional shifts in tree demographic strategies in wet and dry Neotropical forests
<p><span>This dataset summarizes demographic rates, abundances and basal area across a succession of ~800 (sub) tropical tree species to explore generalities in demographic trade-offs and successional shifts in demographic strategies across four Neotropical forests that cover a large rainfall gradient. We used repeated forest inventory data from chronosequences in two wet (Costa Rica, Panama) and two dry forests (Yucatán, Oaxaca, both Mexico) to quantify demographic rates of ~800 tree species. For each forest, we explored the main demographic trade-offs and assigned tree species to five demographic groups by performing a weighted Principal Component Analysis (PCA) that accounts for differences in sample size. We aggregated the basal area and abundance across demographic groups to identify successional shifts in demographic strategies over the entire successional gradient from very young (<5 years) to old-growth forests. This dataset provides raw and transformed demographic rates, their weights in the weighted PCA, assignments to demographic groups, and forest inventory data at the species level, as well as the code for performing the weighted PCA.</span></p>
Identification, Demographic and Sociometric Data of the Students and Classroom Data / Datos de Identificación, Demográficos y Sociométricos de los Alumnos y Datos del Aula // SUJ-1_Data_CC-CS_T1toT6
<p>This is a longitudinal file that provides information about the students and the classroom in all grades, from first to sixth. It is an essential file that researchers will necessarily have to merge with the other files containing the variables of interest. The file provides information to identify and locate each student in each grade (e.g., identification number, cohort and sample to which he/she belongs, classroom in which he/she is enrolled in each grade, year of entry or exit from the sample,...), and demographic information (sex, date of birth, age in each grade,...), inclusion information (ethnicity, time in Spain, Spanish language proficiency, degree of absenteeism,...), his/her sociometric status at each moment and whether he/she meets criteria to receive intervention. Finally, it also includes data on the classroom in which the participant is enrolled each year and the tutor teacher (e.g., classroom ratio, whether the composition of the classroom is changing on a scheduled basis, sex of the teacher and whether the tutor has changed with respect to the previous year). Most of the information was provided by the teacher and is part of the STUDENT-INFORM and CLASSROOM-INFORM files, but it also includes information provided by researchers in the SUJ-2 files and information provided by peers in the SOCIOMET-P files. The data were collected in public schools in Castellón and Seville (Spain) mostly in the fall of each school year, but many variables were also measured in the spring, from first to sixth grade of primary education, from school year 2009-10 to school year 2014-15. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p> </p> <p>Se trata de un fichero longitudinal que aporta información sobre los estudiantes y el aula en todos los cursos, de primero a sexto. Es un fichero esencial que necesariamente los investigadores tendrán que fusionar con los otros ficheros que contengan las variables de su interés. El fichero proporciona información para identificar y localizar a cada estudiante en cada curso (p.e, número de identificación, cohorte y muestra a la que pertenece, aula en la que está escolarizado en cada curso, curso de incorporación o de salida de la muestra,…), e información demográfica (sexo, fecha de nacimiento, edad en cada curso,..), de inclusión (etnia, tiempo en España, dominio de la lengua española, grado de absentismo,…), su estatus sociométrico en cada momento y si reúne criterios para recibir intervención. Por último, también incluye datos sobre el aula en la que el participante está escolarizado cada curso y del profesor tutor (p.e., ratio del aula, si la composición del aula cambia de forma programada en determinados cursos, el sexo del profesor y si la clase ha cambiado de tutor respecto del curso anterior). La mayor parte de la información ha sido proporcionada por el profesor y forma parte de los ficheros STUDENT-INFORM y CLASSROOM-INFORM, pero también incluye información aportada por los investigadores en los ficheros SUJ-2 e información aportada por los iguales en los ficheros SOCIOMET-P. Los datos fueron recogidos en centros públicos de Castellón y Sevilla (España) mayoritariamente en otoño de cada curso, pero muchas variables también fueron medidas en primavera, desde primero a sexto curso de educación primaria, desde el curso escolar 2009-10 al curso escolar 2014-15. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a></p>
Identification, Demographic and Sociometric Data of the Students and Classroom Data / Datos de Identificación, Demográficos y Sociométricos de los Alumnos y Datos del Aula // SUJ-1_Data_IC_T1toT6
<p>This is a longitudinal file that provides information about the students and the classroom in all grades, from first to sixth. It is an essential file that researchers will necessarily have to merge with the other files containing the variables of interest. The file provides information to identify and locate each student in each grade (e.g., identification number, cohort and sample to which he/she belongs, classroom in which he/she is enrolled in each grade, year of entry or exit from the sample,...), and demographic information (sex, date of birth, age in each grade,...), inclusion information (ethnicity, time in Spain, Spanish language proficiency, degree of absenteeism,...), his/her sociometric status at each moment and whether he/she meets criteria to receive intervention. Finally, it also includes data on the classroom in which the participant is enrolled each year and the tutor teacher (e.g., classroom ratio, whether the composition of the classroom is changing on a scheduled basis, sex of the teacher and whether the tutor has changed with respect to the previous year). Most of the information was provided by the teacher and is part of the STUDENT-INFORM and CLASSROOM-INFORM files, but it also includes information provided by researchers in the SUJ-2 files and information provided by peers in the SOCIOMET-P files. The data were collected in public schools in Castellón (Spain) mostly in the fall of each school year, but many variables were also measured in the spring, from first to sixth grade of primary education, from school year 2010-11 to school year 2015-16. To learn more about our research and access to other datasets of this or other measures, follow the link <a href="https://www.uji.es/departaments/psi/base/opengrei/">GREI Longitudinal Project</a></p> <p> </p> <p>Se trata de un fichero longitudinal que aporta información sobre los estudiantes y el aula en todos los cursos, de primero a sexto. Se trata de un fichero esencial que necesariamente los investigadores tendrán que fusionar con los otros ficheros que contengan las variables de su interés. El fichero proporciona información para identificar y localizar a cada estudiante en cada curso (p.e, número de identificación, cohorte y muestra a la que pertenece, aula en la que está escolarizado en cada curso, curso de incorporación o de salida de la muestra,…), e información demográfica (sexo, fecha de nacimiento, edad en cada curso,..), de inclusión (etnia, tiempo en España, dominio d la lengua española, grado de absentismo,…), su estatus sociométrico en cada momento y si reúne criterios para recibir intervención. Por último, también incluye datos sobre el aula en la que el participante está escolarizado cada curso y del profesor tutor (p.e., ratio del aula, si la composición del aula cambia de forma programada en determinados cursos, el sexo del profesor y si la clase ha cambiado de tutor respecto del curso anterior). La mayor parte de la información ha sido proporcionada por el profesor y forma parte de los ficheros STUDENT-INFORM y CLASSROOM-INFORM, pero también incluye información aportada por los investigadores en los ficheros SUJ-2 e información aportada por los iguales en los ficheros SOCIOMET-P. Los datos fueron recogidos en centros públicos de Castellón (España) mayoritariamente en otoño de cada curso, pero muchas variables también fueron medidas en primavera, desde primero a sexto curso de educación primaria, desde el (curso escolar 2010-11 al curso escolar 2015-16. Para saber más sobre nuestra investigación y acceder a otros ficheros de datos de esta medida o de otras, siga el enlace <a href="https://www.uji.es/departaments/psi/base/opengrei/">Proyecto Longitudinal GREI</a></p>
Data from: Partitioning variance in population growth for models with environmental and demographic stochasticity
<ol> <li>How demographic factors lead to variation or change in growth rates can be investigated using life table response experiments (LTRE) based on structured population models. Traditionally, LTREs focused on decomposing the asymptotic growth rate, but more recently decompositions of annual 'realized' growth rates have gained in popularity.</li> <li>Realized LTREs have been used particularly to understand how variation in vital rates translates into variation in growth for populations under long-term study. For these, complete population models may be constructed by combining data in an integrated population model (IPM). IPMs are also used to investigate how temporal variation in environmental drivers affect vital rates. Such investigations have usually come down to estimating covariate coefficients for the effects of environmental variables on vital rates, but formal ways of assessing how they lead to variation in growth rates have been lacking. </li> <li>We extend realized LTREs in two ways. First, we further partition the contributions from vital rates into contributions from temporally varying factors that affect them. The decomposition allows us to compare the resultant effect on the growth rate of different environmental factors that may each act via multiple vital rates. Second, we show how realized growth rates can be decomposed into separate components from environmental and demographic stochasticity. The latter is typically omitted in LTRE analyses.</li> <li>We illustrate how to use the approach in an IPM for data from a 26-year study on northern wheatears (Oenanthe oenanthe), a migratory passerine bird breeding in an agricultural landscape. For this population, consisting of around 50–120 breeding pairs per year, we partition variation in realized growth rates into environmental contributions from temperature, rainfall, population density, and unexplained random variation via multiple vital rates, and from demographic stochasticity.</li> <li>The case study suggests that variation in first-year survival via the random component, and adult survival via temperature are two main factors behind environmental variation in growth rates. More than half of the variation in growth rates is suggested to come from demographic stochasticity, demonstrating the importance of this factor for populations of moderate size.</li> </ol>
Sample data for analysis of demographic potential of the 15-minute city in northern and southern France
<pre>This upload contains two Geopackage files of raw data used for urban analysis in the outskirts of Lille and Nice, France. <br>The data include building footprints (layer "building"), roads (layer "road"), and administrative boundaries (layer "adm_boundaries")<br>extracted from version 3.3 of the French dataset BD TOPO®3 (IGN, 2023) for the municipalities of Santes, Hallennes-lez-Haubourdin,<br>Haubourdin, and Emmerin in northern France (Geopackage "DPC_59.gpkg") and Drap, Cantaron and La Trinité in southern France <br>(Geopackage "DPC_06.gpkg").</pre> <pre> </pre> <pre>Metadata for these layers is available here: https://geoservices.ign.fr/sites/default/files/2023-01/DC_BDTOPO_3-3.pdf</pre> <pre> </pre> <pre>Additionally, this upload contains the results of the following algorithms available in GitHub (<a href="https://github.com/perezjoan/emc2-WP2?tab=readme-ov-file">https://github.com/perezjoan/emc2-WP2?tab=readme-ov-file</a>)</pre> <pre><code> </code></pre> <pre>1. The<code> </code>identification<code> </code>of<code> </code>main<code> </code>streets using the QGIS plugin Morpheo (layers "road_morpheo" and "buffer_morpheo") <br><a href="https://plugins.qgis.org/plugins/morpheo/">https://plugins.qgis.org/plugins/morpheo/</a> </pre> <pre><code>2. </code>The<code> </code>identification of main streets in local contexts – connectivity locally weighted<code> </code>(layer "road_LocRelCon")</pre> <pre><code>3. </code>Basic morphometry<code> </code>of<code> </code>buildings<code> </code>(layer "building_morpho")</pre> <pre><code>4. </code>Evaluation<code> </code>of<code> </code>the<code> </code>number<code> </code>of<code> </code>dwellings<code> </code>within<code> </code>inhabited<code> </code>buildings<code> </code>(layer "building_dwellings")</pre> <pre>5. Projecting<code> </code>population<code> </code>potential<code> </code>accessible from<code> </code>main<code> </code>streets<code> </code>(layer "road_pop_results")</pre> <pre> </pre> <pre>Project website: <a href="http://emc2-dut.org/">http://emc2-dut.org/</a></pre> <pre> </pre> <pre>Publications using this sample data: <br>Perez, J. and Fusco, G., 2024. Potential of the 15-Minute Peripheral City: Identifying Main Streets and Population Within Walking Distance. In: O. Gervasi, B. Murgante, C. Garau, D. Taniar, A.M.A.C. Rocha and M.N. Faginas Lago, eds. <em>Computational Science and Its Applications – ICCSA 2024 Workshops. ICCSA 2024</em>. Lecture Notes in Computer Science, vol 14817. Cham: Springer, pp.50-60. <a href="https://doi.org/10.1007/978-3-031-65238-7_4" target="_blank" rel="noopener noreferrer">https://doi.org/10.1007/978-3-031-65238-7_4</a>.</pre> <p><strong>Acknowledgement.</strong> <a name="_Hlk162443883"></a>This work is part of the emc2 project, which received the grant ANR-23-DUTP-0003-01 from the French National Research Agency (ANR) within the DUT Partnership.</p>
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