100+ datasets found
  1. Population growth in Morocco 2023

    • statista.com
    • ai-chatbox.pro
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    Statista, Population growth in Morocco 2023 [Dataset]. https://www.statista.com/statistics/502767/population-growth-in-morocco/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Morocco
    Description

    In 2023, the annual population growth in Morocco remained nearly unchanged at around 1.02 percent. Annual population growth refers to the change in the population over time, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Tunisia and Sudan.

  2. Calculation File Uploaded-AAJ_JS-14741.xlsx

    • figshare.com
    xlsx
    Updated Jun 26, 2023
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    Jayachandran A A (2023). Calculation File Uploaded-AAJ_JS-14741.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.23577831.v1
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    xlsxAvailable download formats
    Dataset updated
    Jun 26, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jayachandran A A
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Data contains 2022 world population data publised by the UN DESA for six most populous countries of the world. File also contains the analysis of decomposition of demographic indicators on population growth.

  3. f

    Data from: Demographic analysis and forecasting using of inter-municipal...

    • scielo.figshare.com
    jpeg
    Updated Jun 2, 2023
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    Jeronimo Oliveira Muniz (2023). Demographic analysis and forecasting using of inter-municipal population growth and distribution matrices [Dataset]. http://doi.org/10.6084/m9.figshare.7420457.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELO journals
    Authors
    Jeronimo Oliveira Muniz
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract Challenges in the field of demographic projections include, among others, the volatility of the migration component - critical for the projection of small areas; the compatibility between projections of small and large areas; and the measurement and inclusion of uncertainty in future scenarios of population growth. This article presents a new probabilistic method to conduct interregional population forecasting dealing with these three challenges. The proposed method has the following advantages: 1) it only requires information about the last place of residence and the population distributions of the last two Censuses; 2) it generates confidence intervals for the projected populations; 3) it makes the role of migration flows in the growth dynamics explicit and; 4) it facilitates the elaboration of counterfactual scenarios and sensitivity analysis using matrices of interregional population growth and distribution. We describe the patterns and trends in migration flows in the state of São Paulo applying spatial visualization tools and identifying areas in which migration is responsible for considerable shares of the demographic dynamics. About 95% of the 572 municipal projected populations of São Paulo had good precision and were within expected confidence intervals. We used data from the 1980, 1991 and 2000 Brazilian Censuses.

  4. Distribution of the global population by continent 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 27, 2025
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    Statista (2025). Distribution of the global population by continent 2024 [Dataset]. https://www.statista.com/statistics/237584/distribution-of-the-world-population-by-continent/
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    Dataset updated
    Mar 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

  5. Data from: Spatial consistency in drivers of population dynamics of a...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Mar 29, 2023
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    Chloé Rebecca Nater; Malcolm Burgess; Peter Coffey; Bob Harris; Frank Lander; David Price; Mike Reed; Robert Robinson (2023). Spatial consistency in drivers of population dynamics of a declining migratory bird [Dataset]. http://doi.org/10.5061/dryad.rbnzs7hf9
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    zipAvailable download formats
    Dataset updated
    Mar 29, 2023
    Dataset provided by
    British Trust for Ornithologyhttp://www.bto.org/
    ,
    Piedfly.net
    Merseyside Ringing Group
    Royal Society for the Protection of Birds
    Norwegian Institute for Nature Research
    Authors
    Chloé Rebecca Nater; Malcolm Burgess; Peter Coffey; Bob Harris; Frank Lander; David Price; Mike Reed; Robert Robinson
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description
    1. Many migratory species are in decline across their geographical ranges. Single-population studies can provide important insights into drivers at a local scale, but effective conservation requires multi-population perspectives. This is challenging because relevant data are often hard to consolidate, and state-of-the-art analytical tools are typically tailored to specific datasets.
    2. We capitalized on a recent data harmonization initiative (SPI-Birds) and linked it to a generalized modeling framework to identify the demographic and environmental drivers of large-scale population decline in migratory pied flycatchers (Ficedula hypoleuca) breeding across Britain.
    3. We implemented a generalized integrated population model (IPM) to estimate age-specific vital rates, including their dependency on environmental conditions, and total and breeding population size of pied flycatchers using long-term (34–64 years) monitoring data from seven locations representative of the British breeding range. We then quantified the relative contributions of different vital rates and population structures to changes in short- and long-term population growth rates using transient life table response experiments (LTREs).
    4. Substantial covariation in population sizes across breeding locations suggested that change was the result of large-scale drivers. This was supported by LTRE analyses, which attributed past changes in short-term population growth rates and long-term population trends primarily to variation in annual survival and dispersal dynamics, which largely act during migration and/or non-breeding season. Contributions of variation in local reproductive parameters were small in comparison, despite sensitivity to local temperature and rainfall within the breeding period.
    5. We show that both short- and longer-term population changes of British-breeding pied flycatchers are likely linked to factors acting during migration and in non-breeding areas, where future research should be prioritized. We illustrate the potential of multi-population analyses for informing management at (inter)national scales and highlight the importance of data standardization, generalized and accessible analytical tools, and reproducible workflows to achieve them. Methods Data collection protocols are described in the paper, and further references provided therein. Raw data were harmonised and converted to a standard format by SPI-Birds (https://spibirds.org/) and then collated into the input data provided here using code deposited on https://github.com/SPI-Birds/SPI-IPM. Details on this step of data processing will be added to https://spi-birds.github.io/SPI-IPM/. The MCMC sample data files are the outputs of the integrated population models fitted in the study. Please refer to the published article and material deposited on the associated GitHub repository for more details.
  6. d

    Data from: Population dynamics of an invasive forest insect and associated...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Apr 21, 2025
    + more versions
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    Agricultural Research Service (2025). Data from: Population dynamics of an invasive forest insect and associated natural enemies in the aftermath of invasion [Dataset]. https://catalog.data.gov/dataset/data-from-population-dynamics-of-an-invasive-forest-insect-and-associated-natural-enemies--cb1db
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Service
    Description

    Datasets archived here consist of all data analyzed in Duan et al. 2015 from Journal of Applied Ecology. Specifically, these data were collected from annual sampling of emerald ash borer (Agrilus planipennis) immature stages and associated parasitoids on infested ash trees (Fraxinus) in Southern Michigan, where three introduced biological control agents had been released between 2007 - 2010. Detailed data collection procedures can be found in Duan et al. 2012, 2013, and 2015. Resources in this dataset:Resource Title: Duan J Data on EAB larval density-bird predation and unknown factor from Journal of Applied Ecology. File Name: Duan J Data on EAB larval density-bird predation and unknown factor from Journal of Applied Ecology.xlsxResource Description: This data set is used to calculate mean EAB density (per m2 of ash phloem area), bird predation rate and mortality rate caused by unknown factors and analyzed with JMP (10.2) scripts for mixed effect linear models in Duan et al. 2015 (Journal of Applied Ecology).Resource Title: DUAN J Data on Parasitism L1-L2 Excluded from Journal of Applied Ecology. File Name: DUAN J Data on Parasitism L1-L2 Excluded from Journal of Applied Ecology.xlsxResource Description: This data set is used to construct life tables and calculation of net population growth rate of emerald ash borer for each site. The net population growth rates were then analyzed with JMP (10.2) scripts for mixed effect linear models in Duan et al. 2015 (Journal of Applied Ecology).Resource Title: DUAN J Data on EAB Life Tables Calculation from Journal of Applied Ecology. File Name: DUAN J Data on EAB Life Tables Calculation from Journal of Applied Ecology.xlsxResource Description: This data set is used to calculate parasitism rate of EAB larvae for each tree and then analyzed with JMP (10.2) scripts for mixed effect linear models on in Duan et al. 2015 (Journal of Applied Ecology).Resource Title: READ ME for Emerald Ash Borer Biocontrol Study from Journal of Applied Ecology. File Name: READ_ME_for_Emerald_Ash_Borer_Biocontrol_Study_from_Journal_of_Applied_Ecology.docxResource Description: Additional information and definitions for the variables/content in the three Emerald Ash Borer Biocontrol Study tables: Data on EAB Life Tables Calculation Data on EAB larval density-bird predation and unknown factor Data on Parasitism L1-L2 Excluded from Journal of Applied Ecology Resource Title: Data Dictionary for Emerald Ash Borer Biocontrol Study from Journal of Applied Ecology. File Name: AshBorerAnd Parasitoids_DataDictionary.csvResource Description: CSV data dictionary for the variables/content in the three Emerald Ash Borer Biocontrol Study tables: Data on EAB Life Tables Calculation Data on EAB larval density-bird predation and unknown factor Data on Parasitism L1-L2 Excluded from Journal of Applied Ecology Fore more information see the related READ ME file.

  7. d

    Demographic analysis for article Hurricane-induced demographic changes in a...

    • dataone.org
    • datadryad.org
    Updated Jun 17, 2025
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    Raisa Hernández-Pacheco; Dana O Morcillo; Ulrich K Steiner; Angelina V Ruiz-Lambides; Kristine L Grayson (2025). Demographic analysis for article Hurricane-induced demographic changes in a nonhuman primate population [Dataset]. http://doi.org/10.5061/dryad.5qfttdz2b
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    Dataset updated
    Jun 17, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Raisa Hernández-Pacheco; Dana O Morcillo; Ulrich K Steiner; Angelina V Ruiz-Lambides; Kristine L Grayson
    Time period covered
    Jan 1, 2020
    Description

    Major disturbance events can have large impacts on the demography and dynamics of animal populations. Hurricanes are one example of an extreme climatic event, predicted to increase in intensity due to climate change, and thus expected to be a considerable threat to population viability. However, little is understood about the underlying demographic mechanisms shaping population response following these extreme disturbances. Here, we analyze 45 years of the most comprehensive free-ranging nonhuman primate demographic dataset to determine the effects of major hurricanes on the variability and maintenance of long-term population fitness. For this, we use individual-level data to build matrix population models and perform perturbation analyses. Despite reductions in population growth rate mediated through reduced fertility, our study reveals a demographic buffering during hurricane years. As long as survival does not decrease, our study shows that hurricanes do not result in detrimental eff...

  8. Population growth in the Philippines 2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 4, 2025
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    Statista (2025). Population growth in the Philippines 2023 [Dataset]. https://www.statista.com/statistics/268716/population-growth-of-the-philippines-from-1990-to-2008/
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    Dataset updated
    Jun 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Philippines
    Description

    The annual population growth in the Philippines increased by 0.1 percentage points (+13.16 percent) in 2023 in comparison to the previous year. This was the first time during the observed period that the population growth has increased in the Philippines. Population growth refers to the annual change in population, and is based on the balance between birth and death rates, as well as migration.

  9. d

    Data from: Identifying Critical Life Stage Transitions for Biological...

    • catalog.data.gov
    • cloud.csiss.gmu.edu
    • +2more
    Updated Apr 21, 2025
    + more versions
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    Agricultural Research Service (2025). Data from: Identifying Critical Life Stage Transitions for Biological Control of Long-lived Perennial Vincetoxicum Species [Dataset]. https://catalog.data.gov/dataset/data-from-identifying-critical-life-stage-transitions-for-biological-control-of-long-lived-41b5d
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Service
    Description

    This dataset includes data on 25 transitions of a matrix demographic model of the invasive species Vincetoxicum nigrum (L.) Moench (black swallow-wort or black dog-strangling vine) and Vincetoxicum rossicum (Kleopow) Barb. (pale swallow-wort or dog-strangling vine) (Apocynaceae, subfamily Asclepiadoideae), two invasive perennial vines in the northeastern U.S.A. and southeastern Canada. The matrix model was developed for projecting population growth rates as a result of changes to lower-level vital rates from biological control although the model is generalizable to any control tactic. Transitions occurred among the five life stages of seeds, seedlings, vegetative juveniles (defined as being in at least their second season of growth), small flowering plants (having 1–2 stems), and large flowering plants (having 3 or more stems). Transition values were calculated using deterministic equations and data from 20 lower-level vital rates collected from 2009-2012 from two open field and two forest understory populations of V. rossicum (43°51’N, 76°17’W; 42°48'N, 76°40'W) and two open field populations of V. nigrum (41°46’N, 73°44’W; 41°18’N, 73°58’W) in New York State. Sites varied in plant densities, soil depth, and light levels (forest populations). Detailed descriptions of vital rate data collection may be found in: Milbrath et al. 2017. Northeastern Naturalist 24(1):37-53. Five replicate sets of transition data obtained from five separate spatial regions of a particular infestation were produced for each of the six populations. Note: Added new excel file of vital rate data on 12/7/2018. Resources in this dataset:Resource Title: Matrix model transition data for Vincetoxicum species. File Name: Matrix_model_transition_data.csvResource Description: This data set includes data on 25 transitions of a matrix demographic model of two invasive Vincetoxicum species from six field and forest populations in New York State.Resource Title: Variable definitions. File Name: Matrix_model_metadata.csvResource Description: Definitions of variables including equations for each transition and definitions of the lower-level vital rates in the equationsResource Title: Vital Rate definitions. File Name: Vital_Rate.csvResource Description: Vital Rate definitions of lower-level vital rates used in transition equations - to be substituted into the Data Dictionary for full definition of each transition equation.Resource Title: Data Dictionary. File Name: Matrix_Model_transition_data_DD.csvResource Description: See Vital Rate resource for definitions of lower-level vital rates used in transition equations where noted.Resource Title: Matrix model vital rate data for Vincetoxicum species. File Name: Matrix_model_vital rate_data.csvResource Description: This data set includes data on 20 lower-level vital rates used in the calculation of transitions of a matrix demographic model of two invasive Vincetoxicum species in New York State as well as definitions of the vital rates. (File added on 12/7/2018)Resource Software Recommended: Microsoft Excel,url: https://office.microsoft.com/excel/

  10. f

    The effect of bigger human bodies on the future global calorie requirements

    • plos.figshare.com
    pdf
    Updated May 31, 2023
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    Lutz Depenbusch; Stephan Klasen (2023). The effect of bigger human bodies on the future global calorie requirements [Dataset]. http://doi.org/10.1371/journal.pone.0223188
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    pdfAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Lutz Depenbusch; Stephan Klasen
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Existing studies show how population growth and rising incomes will cause a massive increase in the future global demand for food. We add to the literature by estimating the potential effect of increases in human weight, caused by rising BMI and height, on future calorie requirements. Instead of using a market based approach, the estimations are solely based on human energy requirements for maintenance of weight. We develop four different scenarios to show the effect of increases in human height and BMI. In a world where the weight per age-sex group would stay stable, we project calorie requirements to increases by 61.05 percent between 2010 and 2100. Increases in BMI and height could add another 18.73 percentage points to this. This additional increase amounts to more than the combined calorie requirements of India and Nigeria in 2010. These increases would particularly affect Sub-Saharan African countries, which will already face massively rising calorie requirements due to the high population growth. The stark regional differences call for policies that increase food access in currently economically weak regions. Such policies should shift consumption away from energy dense foods that promote overweight and obesity, to avoid the direct burden associated with these conditions and reduce the increases in required calories. Supplying insufficient calories would not solve the problem but cause malnutrition in populations with weak access to food. As malnutrition is not reducing but promoting rises in BMI levels, this might even aggravate the situation.

  11. Table S5. Species range overlaps with the top 20% of population growth from...

    • search.dataone.org
    • caryinstitute.figshare.com
    Updated Jan 7, 2022
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    Barbara Han (5983376); Adrian Castellanos (8250462); JP Schmidt (3347381); Ilya Fischhoff (5597606); John M. Drake (10162886) (2022). Table S5. Species range overlaps with the top 20% of population growth from 2000 to 2020 [Dataset]. http://doi.org/10.25390/caryinstitute.14294555.v2
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    Dataset updated
    Jan 7, 2022
    Dataset provided by
    Cary Institute of Ecosystem Studies
    figshare
    Authors
    Barbara Han (5983376); Adrian Castellanos (8250462); JP Schmidt (3347381); Ilya Fischhoff (5597606); John M. Drake (10162886)
    Description

    A csv file containing all carnivore species currently known to have an association with a zoonotic disease (species column) and whether each species' range overlaps with a raster detailing the top 20% of population growth from 2000 to 2020 (overlap_population_growth). A value of 1 in the overlap_population_growth column indicates that the species' range overlaps with this raster. The species range data are from the IUCN RedList and have been rasterized to 100 km2. Human population density data from 2000 and 2020 were obtained from WorldPop, resampled to 100 km2 to match the resolution of the species' range data, and used to obtain regions of population density increase.

  12. Data from: Population growth of native and invasive strains of the larger...

    • catalog.data.gov
    • agdatacommons.nal.usda.gov
    • +1more
    Updated Apr 21, 2025
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    Agricultural Research Service (2025). Data from: Population growth of native and invasive strains of the larger grain borer, Prostephanus truncatus on three maize hybrids [Dataset]. https://catalog.data.gov/dataset/data-from-population-growth-of-native-and-invasive-strains-of-the-larger-grain-borer-prost-3a169
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    Dataset updated
    Apr 21, 2025
    Dataset provided by
    Agricultural Research Servicehttps://www.ars.usda.gov/
    Description

    Insects Two different populations of Prostephanus truncatus were used in the bioassays, one originated from the invaded range in Ghana, and the other from the native range in Mexico. Both populations were maintained in the Laboratory of Entomology and Agricultural Zoology (LEAZ), at the Department of Agriculture, Crop Production and Rural Environment, University of Thessaly, Greece, on whole maize kernels, at 26°C and 55% relative humidity (RH) and continuous darkness. European Maize Hybrids Three different maize hybrids (“PICO”, “HAMILTON”, and “AGN 672”) were obtained from American Genetics SA, Sindos, Greece. All hybrids were cultivated at Serres, in northern Greece according to the local farming practices. The hybrid “PICO” has a great production potential and it is adapted to multiple soil types and can produce high-weight grain. The hybrid “HAMILTON” is a dual-purpose hybrid, that has excellent early vigor and it is tolerant to fungi, and the hybrid “AGN 672” has excellent early vigor and it is also tolerant to fungi. Population Growth on Different Maize Hybrids Three different maize hybrids (PICO, Hamilton, and AGN 672) were used for experimentation. These hybrids were untreated and uninfested, and kept at ambient conditions until the beginning of the experiments. Before proceeding with the bioassays, grain moisture content (M.C.) was assessed, using a moisture meter (mini-GAC plus, Dickey-John Europe S.A.S., Colombes, France). Standardized plastic vials as in prior work (Quellhorst et al. 2023; Lampiri et al. 2022) were used here (3 cm in diameter, 8 cm in height). Vials were then filled with 20 g of one of the three maize hybrids with lids added after. The commodity was weighed with a Precisa XB3200D compact balance (Alpha Analytical Instruments, Gerakas, Greece). The upper rings of the vials were treated with Fluon (Northern Products Inc., Woonsocket, USA) to prevent insects from moving away from the grain and/or escaping. The top of each vial also had small holes punched to allow ventilation. Each vial then received 10 P. truncatus adults of mixed sex and age from one of two different strains. Two different populations of P. truncatus were used as mentioned above. The vials were placed inside incubators set at 30°C and 65% R.H. in continuous darkness. The vials were removed from the incubators after 45 d and adult progeny production was recorded. We also recorded the weight of frass, the number of insect-damaged kernels (IDK), and the total weight of the kernels within each vial. For each combination, i.e. hybrid × strain, there were n = 9 replicates.

  13. Data from: Data and Rscripts for: "Hierarchizing multiscale environmental...

    • dataverse.cirad.fr
    application/gzip +4
    Updated Jul 18, 2024
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    Cécile Caumette; Diatta, Paterne; Diatta, Paterne; Sylvain Piry; Sylvain Piry; Marie-Pierre Chapuis; Marie-Pierre Chapuis; Emile Faye; Emile Faye; Fabio Sigrist; Fabio Sigrist; Olivier Martin; Olivier Martin; Julien Papaïx; Julien Papaïx; Thierry Brévault; Thierry Brévault; Karine Berthier; Karine Berthier; Cécile Caumette (2024). Data and Rscripts for: "Hierarchizing multiscale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards" [Dataset]. http://doi.org/10.18167/DVN1/NZUE7G
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    type/x-r-syntax(16904), txt(5270), csv(73008), csv(27739577), type/x-r-syntax(9353), application/gzip(180), type/x-r-syntax(15087), txt(279), application/zipped-shapefile(111684), csv(15080), csv(13874), csv(12656), csv(13284), application/zipped-shapefile(6017)Available download formats
    Dataset updated
    Jul 18, 2024
    Authors
    Cécile Caumette; Diatta, Paterne; Diatta, Paterne; Sylvain Piry; Sylvain Piry; Marie-Pierre Chapuis; Marie-Pierre Chapuis; Emile Faye; Emile Faye; Fabio Sigrist; Fabio Sigrist; Olivier Martin; Olivier Martin; Julien Papaïx; Julien Papaïx; Thierry Brévault; Thierry Brévault; Karine Berthier; Karine Berthier; Cécile Caumette
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Area covered
    Senegal
    Dataset funded by
    ANR
    Description

    These data and scripts are provided as supplementary material, in order to illustrate the main analyses presented in the following article: "Caumette, Cécile; Diatta, Paterne; Piry, Sylvain; Chapuis, Marie-Pierre; Faye, Emile; Sigrist, Fabio; Martin, Olivier; Papaïx, Julien; Brévault, Thierry; Berthier, Karine. Hierarchizing multi-scale environmental effects on agricultural pest population dynamics: a case study on the annual onset of Bactrocera dorsalis population growth in Senegalese orchards. Peer Community Journal, Volume 4 (2024), article no. e65. doi : 10.24072/pcjournal.438. https://peercommunityjournal.org/articles/10.24072/pcjournal.438/

  14. u

    Data from: Emerald ash borer biocontrol in ash saplings: the potential for...

    • agdatacommons.nal.usda.gov
    • catalog.data.gov
    xlsx
    Updated Jan 31, 2024
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    Jian Duan; Leah S. Bauer; Roy G. van Driesche (2024). Data from: Emerald ash borer biocontrol in ash saplings: the potential for early stage recovery of North American Ash trees [Dataset]. http://doi.org/10.15482/USDA.ADC/1347361
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    xlsxAvailable download formats
    Dataset updated
    Jan 31, 2024
    Dataset provided by
    Ag Data Commons
    Authors
    Jian Duan; Leah S. Bauer; Roy G. van Driesche
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    Our study on saplings was conducted in six forested sites in three southern Michigan counties: Ingham Co. (three sites), Gratiot Co. (two sites), and Shiawassee Co. (one site), with 10 to 60 km between sites.Data set one - on the fate and density of emerald ash borer larvae and associated parasitoids on ash saplings from both biocontrol-release and non-release control plots in southern Michigan during the three-year study (2013–2015). Data set one was used for calculations and associated analyses for of the parameters presented in Figure 1, 2, 3, and 4.Data set two - on ash tree abundance (per 100 m2) and healthy conditions (or crown classes) at the six study sites in southern Michigan observed in summer 2015. Data set two was used for estimation of tree density (Figure 5) and healthy condition (or crown classes).Resources in this dataset:Resource Title: Emerald ash borer biocontrol in ash saplings: the potential for early stage recovery of North American ash trees. File Name: Sapling Data 2013-2015 FINAL.xlsx Resource Description: Data set one - on fate and density of emerald ash borer larvae and/or pupae and associated mortality factors (parasitoids, predators, and undetermined diseases/plant resistance /competition)Resource Title: Emerald ash borer biocontrol in ash saplings: the potential for early stage recovery of North American ash trees. File Name: MI Ash Transect 2015 - All trees.xlsx Resource Description: Data on ash abundance and healthy conditions from transect surveyResource Title: Data Dictionary - EAB biocontrol in ash saplings. File Name: EAB_data_dictionary.csvResource Title: 2013-2014 data sorted. File Name: 2013-2014_data_sorted_EAB.csv Resource Description: Data set one - on fate and density of emerald ash borer larvae and/or pupae and associated mortality factors (parasitoids, predators, and undetermined diseases/plant resistance /competition)Resource Title: 2014-2015 data sorted. File Name: 2014-2015_data_sorted_EAB.csv Resource Description: Data set one - on fate and density of emerald ash borer larvae and/or pupae and associated mortality factors (parasitoids, predators, and undetermined diseases/plant resistance /competition)Resource Title: 2015-2016 data sorted. File Name: 2015-2016_data_sorted_EAB.csv Resource Description: Data set one - on fate and density of emerald ash borer larvae and/or pupae and associated mortality factors (parasitoids, predators, and undetermined diseases/plant resistance /competition)Resource Title: Combined: Emerald ash borer biocontrol in ash saplings: the potential for early stage recovery of North American ash trees. File Name: Emerald ash borer biocontrol in ash saplings the potential for early stage recovery of North American ash trees.csv Resource Description: Data set one - on fate and density of emerald ash borer larvae and/or pupae and associated mortality factors (parasitoids, predators, and undetermined diseases/plant resistance /competition) All 3 sets (2013-2016) combined into a CSV for visualization purposesResource Title: Emerald ash borer biocontrol in ash saplings: the potential for early stage recovery of North American ash trees. File Name: MI Ash Transect 2015 - All trees.csv Resource Description: Data on ash abundance and healthy conditions from transect survey (CSV version for data visualization)Resource Title: Estimates of the net population growth rate of emerald ash borer on saplings from life tables constructed from Dataset One. File Name: DUAN J Data on EAB Life Tables Calculation for Saplings 2013-2015.xlsx Resource Description: This life table of emerald ash borer on saplings was constructed from Dataset One and used to estimate the next population growth rate according to method described in Duan et al. (2014, 2017)Resource Title: Estimates of the net population growth rate of emerald ash borer on saplings from life tables constructed from Dataset One. File Name: EAB_Life_Tables_Calculation_for_Saplings_2013-2015.csv Resource Description: CSV version of the data - This life table of emerald ash borer on saplings was constructed from Dataset One and used to estimate the next population growth rate according to method described in Duan et al. (2014, 2017)

  15. f

    Inferring the Population Expansions in Peopling of Japan

    • plos.figshare.com
    tiff
    Updated Jun 1, 2023
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    Min-Sheng Peng; Ya-Ping Zhang (2023). Inferring the Population Expansions in Peopling of Japan [Dataset]. http://doi.org/10.1371/journal.pone.0021509
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    tiffAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Min-Sheng Peng; Ya-Ping Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Japan
    Description

    BackgroundExtensive studies in different fields have been performed to reconstruct the prehistory of populations in the Japanese archipelago. Estimates the ancestral population dynamics based on Japanese molecular sequences can extend our understanding about the colonization of Japan and the ethnogenesis of modern Japanese. Methodology/Principal FindingsWe applied Bayesian skyline plot (BSP) with a dataset based on 952 Japanese mitochondrial DNA (mtDNA) genomes to depict the female effective population size (Nef) through time for the total Japanese and each of the major mtDNA haplogroups in Japanese. Our results revealed a rapid Nef growth since ∼5 thousand years ago had left ∼72% Japanese mtDNA lineages with a salient signature. The BSP for the major mtDNA haplogroups indicated some different demographic history. Conclusions/SignificanceThe results suggested that the rapid population expansion acted as a major force in shaping current maternal pool of Japanese. It supported a model for population dynamics in Japan in which the prehistoric population growth initiated in the Middle Jomon Period experienced a smooth and swift transition from Jomon to Yayoi, and then continued through the Yayoi Period. The confounding demographic backgrounds of different mtDNA haplogroups could also have some implications for some related studies in future.

  16. u

    AbM Tmor-Da Evolution 1: [SA5-5] Sensitivity analysis of parameter no.5...

    • figshare.unimelb.edu.au
    • figshare.com
    txt
    Updated Sep 30, 2022
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    YEE KEE KU; YEE KEE KU (2022). AbM Tmor-Da Evolution 1: [SA5-5] Sensitivity analysis of parameter no.5 `population growth rate' of 5% (Statistical dataset) [Dataset]. http://doi.org/10.26188/5dfae911a73ea
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    txtAvailable download formats
    Dataset updated
    Sep 30, 2022
    Dataset provided by
    The University of Melbourne
    Authors
    YEE KEE KU; YEE KEE KU
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Description

    Sensitivity Testing

  17. Integral projection models from natural populations

    • figshare.com
    txt
    Updated Oct 23, 2019
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    Jill Anderson (2019). Integral projection models from natural populations [Dataset]. http://doi.org/10.6084/m9.figshare.10010138.v1
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    txtAvailable download formats
    Dataset updated
    Oct 23, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jill Anderson
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This folder contains the data file and R scripts necessary to model population growth rates (lambda) of a natural population, based on data from five transects from 2010-2012. Please contact Jill Anderson (jta24@uga.edu) with questions.

  18. Data from: Determinants of intra-annual population dynamics in a tropical...

    • figshare.com
    txt
    Updated Nov 2, 2019
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    Pedro Pequeno; ELIZABETH FRANKLIN; Roy A. Norton (2019). Data from: Determinants of intra-annual population dynamics in a tropical soil arthropod [Dataset]. http://doi.org/10.6084/m9.figshare.10193594.v2
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    txtAvailable download formats
    Dataset updated
    Nov 2, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Pedro Pequeno; ELIZABETH FRANKLIN; Roy A. Norton
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset consists of spatiotemporal data on counts of the soil mite Rostrozetes ovulum (Oribatida: Haplozetidae) in central Amazonia, along with data on climate and litterfall variables used to model the mite's population dynamics.We sampled the mite in 20 transects a 800-ha forest remnant in Manaus, northern Brazil (03°04’34”S; 59°57’30”W). Each transect was 20-m long. Transects were distributed all over the forest landscape and sampled from June 2014 to June 2015. Ten transects were in valleys, while the remaining transects were located on plateaus, at least 150 m away from any drainage catchment. At each transect, one soil sample was taken each meter using an aluminum soil corer (3.5 × 3.5 × 5 cm), covering a total of 245 cm2. This material was taken to the laboratory, where the soil fauna was extracted using a Berlese-Tullgren apparatus (Franklin & Morais 2006). Each soil core was put in a sieve with mesh size 1.5 mm, which was placed in a plastic funnel. Then, the funnel was put into a wooden box, where it was fitted through a perforated polystyrene board, with a glass vial filled with 95 percent alcohol below it. Next, the box was gradually heated from ambient temperature (ca. 27ºC) to 35 – 40 ºC using light bulbs (25 W). Vials were checked daily for fallen animals. Heating lasted until the core was completely dry and animals stopped falling into the vial (7 to 10 days). The collected material was surveyed under a stereomicroscope for R. ovulum. Adult individuals were counted and preserved in 95 percent alcohol. Transects were sampled on nine months (June to September and November 2014; and January, March, April and June 2015). Therefore, the spatiotemporal coverage of our study was 20 transects × 13 months = 240 spatiotemporal units, of which 20 transects × 9 surveys = 180 counts were recorded from a total of 3600 soil cores.Environmental seasonality data were obtained from research sites nearby the study area, or estimated from such sites. Temperature and rainfall data were gathered online from the nearest station of the Brazilian Institute for Meteorology (INMET), which is 1 km from the study area. We extracted daily readings to compute cumulative rainfall (mm) and maximum daily air temperature (°C) for each transect and month covered by our sampling.Litterfall was estimated using time series of monthly litter production per habitat (plateau and valley) from the Cuieiras Biological Reserve (22,735-ha), 60 km from the study area. Litterfall was sampled with 30 PVC collectors (50 × 50 cm) randomly placed 50 cm above ground in each habitat, between May 2004 and December 2005, January 2009 and December 2010, and November 2014 and August 2015. In parallel, we obtained meteorological data from the INMET station corresponding to the litterfall measurements to model the latter as a function of (1) monthly sunlight hours, monthly cumulative rainfall and their interaction, (2) habitat (valley or plateau), and (3) time (months, coded as integers spanning the temporal coverage of the data) in order to account for any long-term trend. The model was the used to predict the expected litterfall for each spatiotemporal unit in which the mite was sampled, given the corresponding environmental conditions.

  19. f

    Population growth rate - pollution - and parasite analyses from Avian...

    • rs.figshare.com
    txt
    Updated May 30, 2023
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    Daria Dadam; Robert A. Robinson; Anabel Clements; Will J. Peach; Malcolm Bennett; J. Marcus Rowcliffe; Andrew A. Cunningham (2023). Population growth rate - pollution - and parasite analyses from Avian malaria-mediated population decline of a widespread iconic bird species. [Dataset]. http://doi.org/10.6084/m9.figshare.8791619.v2
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    The Royal Society
    Authors
    Daria Dadam; Robert A. Robinson; Anabel Clements; Will J. Peach; Malcolm Bennett; J. Marcus Rowcliffe; Andrew A. Cunningham
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Parasites have the capacity to affect animal populations by modifying host survival, and it is increasingly recognized that infectious disease can negatively impact biodiversity. Populations of the house sparrow (Passer domesticus) have declined in many European towns and cities, but the causes of these declines remain unclear. We investigated associations between parasite infection and house sparrow demography across suburban London where sparrow abundance has declined by 71% since 1995. Plasmodium relictum infection was found at higher prevalences (averaging 74%) in suburban London house sparrows than previously recorded in any wild bird population in Northern Europe. Survival rates of juvenile and adult sparrows and population growth rate were negatively related to Plasmodium relictum infection intensity. Other parasites were much less prevalent and exhibited no relationship with sparrow survival and no negative relationship with population growth. Low rates of co-infection suggested sparrows were not immunocompromised. Our findings indicate that P. relictum infection may be influencing house sparrow population dynamics in suburban areas. The demographic sensitivity of the house sparrow to P. relictum infection in London might reflect a recent increase in exposure to this parasite.

  20. f

    The role of demographic compensation in stabilizing marginal tree...

    • figshare.com
    pdf
    Updated May 9, 2022
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    Xianyu Yang; Angert L. Angert; Pieter A. Zuidema; Fangliang He; Shongming Huang; Shouzhong Li; Shou-Li Li; Nathalie I. Chardon; Jian Zhang (2022). The role of demographic compensation in stabilizing marginal tree populations in North America [Dataset]. http://doi.org/10.6084/m9.figshare.19687521.v4
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    pdfAvailable download formats
    Dataset updated
    May 9, 2022
    Dataset provided by
    figshare
    Authors
    Xianyu Yang; Angert L. Angert; Pieter A. Zuidema; Fangliang He; Shongming Huang; Shouzhong Li; Shou-Li Li; Nathalie I. Chardon; Jian Zhang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North America
    Description

    Demographic compensation – the opposing responses of vital rates along environmental gradients – potentially delays anticipated species’ range contraction under climate change, but no consensus exists on its actual contribution. We calculated population growth rate (λ) and demographic compensation across the distributional ranges of 81 North American tree species, and examined their responses to simulated warming and tree competition. We found that 43% of species showed stable population size at both northern and southern edges. Demographic compensation was detected in 25 species, yet fifteen of them still showed a potential retraction from southern edges, indicating that compensation alone cannot maintain range stability. Simulated climatic warming caused larger decreases in λ for most species, and weakened the effectiveness of demographic compensation in stabilizing ranges. These findings suggest that climate stress may surpass the limited capacity of demographic compensation and pose a threat to the viability of North American tree populations.

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Statista, Population growth in Morocco 2023 [Dataset]. https://www.statista.com/statistics/502767/population-growth-in-morocco/
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Population growth in Morocco 2023

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Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Morocco
Description

In 2023, the annual population growth in Morocco remained nearly unchanged at around 1.02 percent. Annual population growth refers to the change in the population over time, and is affected by factors such as fertility, mortality, and migration.Find more key insights for the annual population growth in countries like Tunisia and Sudan.

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