52 datasets found
  1. Countries with the highest population decline rate 2024

    • statista.com
    Updated Apr 16, 2025
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    Statista (2025). Countries with the highest population decline rate 2024 [Dataset]. https://www.statista.com/statistics/264689/countries-with-the-highest-population-decline-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    In the Cook Islands in 2024, the population decreased by about 2.24 percent compared to the previous year, making it the country with the highest population decline rate in 2024. Of the 20 countries with the highest rate of population decline, the majority are island nations, where emigration rates are high (especially to Australia, New Zealand, and the United States), or they are located in Eastern Europe, which suffers from a combination of high emigration rates and low birth rates.

  2. Global population 1800-2100, by continent

    • statista.com
    • ai-chatbox.pro
    Updated Jul 4, 2024
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    Statista (2024). Global population 1800-2100, by continent [Dataset]. https://www.statista.com/statistics/997040/world-population-by-continent-1950-2020/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    The world's population first reached one billion people in 1803, and reach eight billion in 2023, and will peak at almost 11 billion by the end of the century. Although it took thousands of years to reach one billion people, it did so at the beginning of a phenomenon known as the demographic transition; from this point onwards, population growth has skyrocketed, and since the 1960s the population has increased by one billion people every 12 to 15 years. The demographic transition sees a sharp drop in mortality due to factors such as vaccination, sanitation, and improved food supply; the population boom that follows is due to increased survival rates among children and higher life expectancy among the general population; and fertility then drops in response to this population growth. Regional differences The demographic transition is a global phenomenon, but it has taken place at different times across the world. The industrialized countries of Europe and North America were the first to go through this process, followed by some states in the Western Pacific. Latin America's population then began growing at the turn of the 20th century, but the most significant period of global population growth occurred as Asia progressed in the late-1900s. As of the early 21st century, almost two thirds of the world's population live in Asia, although this is set to change significantly in the coming decades. Future growth The growth of Africa's population, particularly in Sub-Saharan Africa, will have the largest impact on global demographics in this century. From 2000 to 2100, it is expected that Africa's population will have increased by a factor of almost five. It overtook Europe in size in the late 1990s, and overtook the Americas a decade later. In contrast to Africa, Europe's population is now in decline, as birth rates are consistently below death rates in many countries, especially in the south and east, resulting in natural population decline. Similarly, the population of the Americas and Asia are expected to go into decline in the second half of this century, and only Oceania's population will still be growing alongside Africa. By 2100, the world's population will have over three billion more than today, with the vast majority of this concentrated in Africa. Demographers predict that climate change is exacerbating many of the challenges that currently hinder progress in Africa, such as political and food instability; if Africa's transition is prolonged, then it may result in further population growth that would place a strain on the region's resources, however, curbing this growth earlier would alleviate some of the pressure created by climate change.

  3. d

    Data from: Local human population increase in the non-breeding areas of...

    • search.dataone.org
    • datadryad.org
    Updated May 29, 2025
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    Will Cresswell; Winifred Nanchin; Rob Patchett (2025). Local human population increase in the non-breeding areas of long-distance migrant bird species is only weakly associated with their declines, even for synanthropic species [Dataset]. http://doi.org/10.5061/dryad.n2z34tms1
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    Dataset updated
    May 29, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Will Cresswell; Winifred Nanchin; Rob Patchett
    Time period covered
    Jan 1, 2020
    Description

    Aim: To show how recent declines in populations of long-distance migrant birds are associated with recent increases in human population growth and agricultural intensification on their tropical non-breeding grounds, except for synanthropic species, where we expect the reverse.

    Location: Breeding populations throughout Europe and North America spending the non-breeding season throughout Africa, and Central and South America, respectively.

    Methods: We mapped 50 species of long-distance migrant birds from published tagging studies of 126 breeding populations and identified their breeding population trends from 2000-2015 from published Country or State census data. We then matched individual bird non-breeding locations, from each population, to local human population change and crop yield data. We used GLMs to predict whether bird population decline was associated with human population change or crop yield and whether this was dependent on if a species was synanthropic or not, contro...

  4. Countries with the largest population 2025

    • statista.com
    • ai-chatbox.pro
    Updated Feb 21, 2025
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    Statista (2025). Countries with the largest population 2025 [Dataset]. https://www.statista.com/statistics/262879/countries-with-the-largest-population/
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    Dataset updated
    Feb 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    World
    Description

    In 2022, India overtook China as the world's most populous country and now has almost 1.46 billion people. China now has the second-largest population in the world, still with just over 1.4 billion inhabitants, however, its population went into decline in 2023. Global population As of 2025, the world's population stands at almost 8.2 billion people and is expected to reach around 10.3 billion people in the 2080s, when it will then go into decline. Due to improved healthcare, sanitation, and general living conditions, the global population continues to increase; mortality rates (particularly among infants and children) are decreasing and the median age of the world population has steadily increased for decades. As for the average life expectancy in industrial and developing countries, the gap has narrowed significantly since the mid-20th century. Asia is the most populous continent on Earth; 11 of the 20 largest countries are located there. It leads the ranking of the global population by continent by far, reporting four times as many inhabitants as Africa. The Demographic Transition The population explosion over the past two centuries is part of a phenomenon known as the demographic transition. Simply put, this transition results from a drastic reduction in mortality, which then leads to a reduction in fertility, and increase in life expectancy; this interim period where death rates are low and birth rates are high is where this population explosion occurs, and population growth can remain high as the population ages. In today's most-developed countries, the transition generally began with industrialization in the 1800s, and growth has now stabilized as birth and mortality rates have re-balanced. Across less-developed countries, the stage of this transition varies; for example, China is at a later stage than India, which accounts for the change in which country is more populous - understanding the demographic transition can help understand the reason why China's population is now going into decline. The least-developed region is Sub-Saharan Africa, where fertility rates remain close to pre-industrial levels in some countries. As these countries transition, they will undergo significant rates of population growth

  5. d

    Data from: Climate change and human colonization triggered habitat loss and...

    • search.dataone.org
    • datadryad.org
    • +1more
    Updated Apr 2, 2025
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    Jordi Salmona; Rasmus Heller; Erwan Quéméré; Lounès Chikhi (2025). Climate change and human colonization triggered habitat loss and fragmentation in Madagascar. [Dataset]. http://doi.org/10.5061/dryad.8f45n
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    Dataset updated
    Apr 2, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Jordi Salmona; Rasmus Heller; Erwan Quéméré; Lounès Chikhi
    Time period covered
    Jan 1, 2017
    Area covered
    Madagascar
    Description

    The relative effect of past climate fluctuations and anthropogenic activities on current biome distribution is subject to increasing attention, notably in biodiversity hot spots. In Madagascar, where humans arrived in the last ~4 to 5,000 years, the exact causes of the demise of large vertebrates that cohabited with humans are yet unclear. The prevailing narrative holds that Madagascar was covered with forest before human arrival and that the expansion of grasslands was the result of human-driven deforestation. However, recent studies have shown that vegetation and fauna structure substantially fluctuated during the Holocene. Here, we study the Holocene history of habitat fragmentation in the north of Madagascar using a population genetics approach. To do so, we infer the demographic history of two northern Madagascar neighbouring, congeneric and critically endangered forest dwelling lemur species—Propithecus tattersalli and Propithecus perrieri—using population genetic analyses. Our re...

  6. f

    Regionally distinguished demographic estimates for GI-1d-a based on dataset...

    • figshare.com
    xls
    Updated Apr 2, 2025
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    Isabell Schmidt; Birgit Gehlen; Katja Winkler; Alvaro Arrizabalaga; Nico Arts; Nuno Bicho; Philippe Crombé; Berit Valentin Eriksen; Sonja B. Grimm; Katarina Kapustka; Mathieu Langlais; Ludovic Mevel; Nicolas Naudinot; Zdeňka Nerudová; Marcel Niekus; Marco Peresani; Felix Riede; Florian Sauer; Werner Schön; Iwona Sobkowiak-Tabaka; Hans Vandendriessche; Mara-Julia Weber; Annabell Zander; Andreas Zimmermann; Andreas Maier (2025). Regionally distinguished demographic estimates for GI-1d-a based on dataset A (all sites). [Dataset]. http://doi.org/10.1371/journal.pone.0310942.t001
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    xlsAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Isabell Schmidt; Birgit Gehlen; Katja Winkler; Alvaro Arrizabalaga; Nico Arts; Nuno Bicho; Philippe Crombé; Berit Valentin Eriksen; Sonja B. Grimm; Katarina Kapustka; Mathieu Langlais; Ludovic Mevel; Nicolas Naudinot; Zdeňka Nerudová; Marcel Niekus; Marco Peresani; Felix Riede; Florian Sauer; Werner Schön; Iwona Sobkowiak-Tabaka; Hans Vandendriessche; Mara-Julia Weber; Annabell Zander; Andreas Zimmermann; Andreas Maier
    License

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

    Description

    Regionally distinguished demographic estimates for GI-1d-a based on dataset A (all sites).

  7. f

    Ancient and Contemporary DNA Reveal a Pre-Human Decline but No Population...

    • plos.figshare.com
    pdf
    Updated Jun 2, 2023
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    Nicolas Dussex; Nicolas J. Rawlence; Bruce C. Robertson (2023). Ancient and Contemporary DNA Reveal a Pre-Human Decline but No Population Bottleneck Associated with Recent Human Persecution in the Kea (Nestor notabilis) [Dataset]. http://doi.org/10.1371/journal.pone.0118522
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nicolas Dussex; Nicolas J. Rawlence; Bruce C. Robertson
    License

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

    Description

    The impact of population bottlenecks is an important factor to consider when assessing species survival. Population declines can considerably limit the evolutionary potential of species and make them more susceptible to stochastic events. New Zealand has a well documented history of decline of endemic avifauna related to human colonization. Here, we investigate the genetic effects of a recent population decline in the endangered kea (Nestor notabilis). Kea have undergone a long-lasting persecution between the late 1800s to 1970s where an estimated 150,000 kea were culled under a governmental bounty scheme. Kea now number 1,000–5,000 individuals in the wild and it is likely that the recent population decline may have reduced the genetic diversity of the species. Comparison of contemporary (n = 410), historical (n = 15) and fossil samples (n = 4) showed a loss of mitochondrial diversity since the end of the last glaciation (Otiran Glacial) but no loss of overall genetic diversity associated with the cull. Microsatellite data indicated a recent bottleneck for only one population and a range-wide decline in Ne dating back some 300 – 6,000 years ago, a period predating European arrival in NZ. These results suggest that despite a recent human persecution, kea might have experienced a large population decline before stabilizing in numbers prior to human settlement of New Zealand in response to Holocene changes in habitat distribution. Our study therefore highlights the need to understand the respective effects of climate change and human activities on endangered species dynamics when proposing conservation guidelines.

  8. World Population - Human Geography GeoInquiries 2020

    • hub.arcgis.com
    • geoinquiries-education.hub.arcgis.com
    • +1more
    Updated Aug 7, 2018
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    Esri GIS Education (2018). World Population - Human Geography GeoInquiries 2020 [Dataset]. https://hub.arcgis.com/maps/f899e111a098487180db38e180beb39b
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    Dataset updated
    Aug 7, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri GIS Education
    Area covered
    World,
    Description

    Explore the patterns of world population in terms of total population, arithmetic density, total fertility rate, natural increase rate, life expectancy, and infant mortality rate. The GeoInquiry activity is available here.Educational standards addressed:APHG: II.A. Analyze the distribution patterns of human populations.APHG: II.B. Understand that populations grow and decline over time and space.This map is part of a Human Geography GeoInquiry activity. Learn more about GeoInquiries.

  9. n

    Data from: Protection status, human disturbance, snow cover and trapping...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Oct 13, 2022
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    Mirjam Barrueto (2022). Protection status, human disturbance, snow cover and trapping drive density of a declining wolverine population in the Canadian Rocky Mountains [Dataset]. http://doi.org/10.5061/dryad.z34tmpghh
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    zipAvailable download formats
    Dataset updated
    Oct 13, 2022
    Dataset provided by
    University of Calgary
    Authors
    Mirjam Barrueto
    License

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

    Area covered
    Canadian Rockies, Rocky Mountains, Canada
    Description

    Protected areas are important in species conservation, but high rates of human-caused mortality outside their borders and increasing popularity for recreation can negatively affect wildlife populations. We quantified wolverine (Gulo gulo) population trends from 2011 to 2020 in >14 000 km2 protected and non-protected habitat in southwestern Canada. We conducted wolverine and multi-species surveys using non-invasive DNA and remote camera-based methods. We developed Bayesian integrated models combining spatial capture-recapture data of marked and unmarked individuals with occupancy data. Wolverine density and occupancy declined by 39 percent, with an annual population growth rate of 0.925. Density within protected areas was 3 times higher than outside and declined between 2011 (3.6 wolverines/1000 km2) and 2020 (2.1 wolverines/1000 km2). Wolverine density and detection probability increased with snow cover and decreased near development. Detection probability also decreased with human recreational activity. The annual harvest rate of 13% was above the maximum sustainable rate. We conclude that humans negatively affected the population through direct mortality, sub-lethal effects and habitat impacts. Our study exemplifies the need to monitor population trends for species at risk – within and between protected areas - as steep declines can occur unnoticed if key conservation concerns are not identified and addressed.

  10. f

    Regionally distinguished demographic estimates for GS-1 based on dataset A.

    • figshare.com
    xls
    Updated Apr 2, 2025
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    Isabell Schmidt; Birgit Gehlen; Katja Winkler; Alvaro Arrizabalaga; Nico Arts; Nuno Bicho; Philippe Crombé; Berit Valentin Eriksen; Sonja B. Grimm; Katarina Kapustka; Mathieu Langlais; Ludovic Mevel; Nicolas Naudinot; Zdeňka Nerudová; Marcel Niekus; Marco Peresani; Felix Riede; Florian Sauer; Werner Schön; Iwona Sobkowiak-Tabaka; Hans Vandendriessche; Mara-Julia Weber; Annabell Zander; Andreas Zimmermann; Andreas Maier (2025). Regionally distinguished demographic estimates for GS-1 based on dataset A. [Dataset]. http://doi.org/10.1371/journal.pone.0310942.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 2, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Isabell Schmidt; Birgit Gehlen; Katja Winkler; Alvaro Arrizabalaga; Nico Arts; Nuno Bicho; Philippe Crombé; Berit Valentin Eriksen; Sonja B. Grimm; Katarina Kapustka; Mathieu Langlais; Ludovic Mevel; Nicolas Naudinot; Zdeňka Nerudová; Marcel Niekus; Marco Peresani; Felix Riede; Florian Sauer; Werner Schön; Iwona Sobkowiak-Tabaka; Hans Vandendriessche; Mara-Julia Weber; Annabell Zander; Andreas Zimmermann; Andreas Maier
    License

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

    Description

    Regionally distinguished demographic estimates for GS-1 based on dataset A.

  11. u

    Data from: Human population growth and accessibility from cities shape...

    • data.nkn.uidaho.edu
    Updated May 1, 2023
    + more versions
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    Juan M. Requena-Mullor (2023). Data from: Human population growth and accessibility from cities shape rangeland condition in the American West [Dataset]. http://doi.org/10.7923/earc-0518
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    comma separated values(3.5 megabytes)Available download formats
    Dataset updated
    May 1, 2023
    Dataset provided by
    Boise State University
    Authors
    Juan M. Requena-Mullor
    License

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

    Time period covered
    1989 - 2018
    Area covered
    Western United States, United States
    Description

    Compiled data utilized to run model parameters for Requena-Mullor et al. 2023. These data lead to the following conclusions: • Human population growth contributes to the decline of sagebrush-steppe rangelands. • More accessible rangelands from population centers have higher quality. • Open space preservation provides opportunities for rangeland conservation in cities. • Coordinated conservation strategies are necessary to protect rangeland ecosystems.

  12. d

    Genomes and associated scripts for paper: Potential millennial-scale avian...

    • datadryad.org
    zip
    Updated Aug 28, 2022
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    Feng Dong; Qiang Zhang; Yi-Lin Chen; Fu-Min Lei; Shou-Hsien Li; Xiao-Jun Yang (2022). Genomes and associated scripts for paper: Potential millennial-scale avian declines by humans in southern China [Dataset]. http://doi.org/10.5061/dryad.73n5tb30d
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    zipAvailable download formats
    Dataset updated
    Aug 28, 2022
    Dataset provided by
    Dryad
    Authors
    Feng Dong; Qiang Zhang; Yi-Lin Chen; Fu-Min Lei; Shou-Hsien Li; Xiao-Jun Yang
    Time period covered
    2022
    Description

    Mounting observational records demonstrate human-caused faunal decline in recent decades, while accumulating archaeological evidence suggests an early biodiversity impact of human activities during the Holocene. A fundamental question arises concerning whether modern wildlife population declines began during early human disturbance. Here, we performed population genomic analysis of six common forest birds in East Asia to address this question. For five of them, demographic history inference based on 25-33 genomes of each species revealed dramatic population declines by 4-48-fold over millennia (two to five thousand years ago). Nevertheless, ecological niche models predicted extensive range persistence during the Holocene and imply limited demographic impact of historical climate change. Summary statistics further suggest high negative correlations between these population declines and human disturbance intensities and indicate a potential driver of human activities. ...

  13. e

    Data from: Quantifying the human impacts on Papua New Guinea reef fish...

    • experts.esf.edu
    • datadryad.org
    Updated Oct 15, 2015
    + more versions
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    Joshua A. Drew; Ruth A. Hufbauer; Kathryn L. Amatangelo (2015). Data from: Quantifying the human impacts on Papua New Guinea reef fish communities across space and time [Dataset]. https://experts.esf.edu/esploro/outputs/dataset/Data-from-Quantifying-the-human-impacts/99953281704826
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    Dataset updated
    Oct 15, 2015
    Dataset provided by
    Dryad
    Authors
    Joshua A. Drew; Ruth A. Hufbauer; Kathryn L. Amatangelo
    Time period covered
    Sep 21, 2016
    Area covered
    Papua New Guinea
    Description

    Describing the drivers of species loss and of community change are important goals in both conservation and ecology. However, it is difficult to determine whether exploited species decline due to direct effects of harvesting or due to other environmental perturbations brought about by proximity to human populations. Here we quantify differences in species richness of coral reef fish communities along a human population gradient in Papua New Guinea to understand the relative impacts of fishing and environmental perturbation. Using data from published species lists we categorize the reef fishes as either fished or non-fished based on their body size and reports from the published literature. Species diversity for both fished and non-fished groups decreases as the size of the local human population increases, and this relationship is stronger in species that are fished. Additionally, comparison of modern and museum collections show that modern reef communities have proportionally fewer fished species relative to 19th century ones. Together these findings show that the reef fish communities of Papua New Guinea experience multiple anthropogenic stressors and that even at low human population levels targeted species experience population declines across both time and space.

  14. Countries with the highest population growth rate 2024

    • statista.com
    • ai-chatbox.pro
    Updated Apr 16, 2025
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    Statista (2025). Countries with the highest population growth rate 2024 [Dataset]. https://www.statista.com/statistics/264687/countries-with-the-highest-population-growth-rate/
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    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Worldwide
    Description

    This statistic shows the 20 countries with the highest population growth rate in 2024. In SouthSudan, the population grew by about 4.65 percent compared to the previous year, making it the country with the highest population growth rate in 2024. The global population Today, the global population amounts to around 7 billion people, i.e. the total number of living humans on Earth. More than half of the global population is living in Asia, while one quarter of the global population resides in Africa. High fertility rates in Africa and Asia, a decline in the mortality rates and an increase in the median age of the world population all contribute to the global population growth. Statistics show that the global population is subject to increase by almost 4 billion people by 2100. The global population growth is a direct result of people living longer because of better living conditions and a healthier nutrition. Three out of five of the most populous countries in the world are located in Asia. Ultimately the highest population growth rate is also found there, the country with the highest population growth rate is Syria. This could be due to a low infant mortality rate in Syria or the ever -expanding tourism sector.

  15. n

    Postglacial expansion and not human persecution best explains the population...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    zip
    Updated Mar 18, 2014
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    Nick Dussex; D. Wegmann; B. C. Robertson (2014). Postglacial expansion and not human persecution best explains the population structure in the endangered kea (Nestor notabilis) [Dataset]. http://doi.org/10.5061/dryad.1mf51
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    zipAvailable download formats
    Dataset updated
    Mar 18, 2014
    Dataset provided by
    University of Fribourg
    University of Otago
    Authors
    Nick Dussex; D. Wegmann; B. C. Robertson
    License

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

    Area covered
    South Island of New Zealand
    Description

    Inferring past demography is a central question in evolutionary and conservation biology. It is however sometimes challenging to infer the processes that shaped the current patterns of genetic variation in endangered species. Population sub-structuring can occur as a result of survival in several isolated refugia and subsequent recolonization processes or via genetic drift following a population decline. The kea (Nestor notabilis) is an endemic parrot widely distributed in the mountains of the South Island of New Zealand that has gone through a major human-induced population decline during the 1860s-1970s. The aims of this study were to understand the glacial and post-glacial history of kea and to determine whether the recent population decline played a role in the shaping of the current genetic variation. We examined the distribution of genetic variation, differentiation and admixture in kea using 17 microsatellites and the mitochondrial control region. Mitochondrial data showed a shallow phylogeny and a genetic distinction between the North and South of the range consistent with the three genetic clusters identified with microsatellite data. Both marker types indicated an increase of genetic isolation by geographic distance. Approximate Bayesian Computation supported a scenario of recent divergence from a single ancestral glacial refugium, suggesting that the contemporary genetic structure is has resulted from post-glacial recolonization processes than from the recent population decline. The recent origin of this genetic structure suggests that each genetic cluster does not need to be considered as independent conservation units.

  16. B

    Data from: Demographic mechanisms and anthropogenic drivers of contrasting...

    • borealisdata.ca
    • open.library.ubc.ca
    Updated Jan 11, 2024
    + more versions
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    Simon English; Scott Wilson; Qing Zhao; Christine Bishop; Alison Moran (2024). Demographic mechanisms and anthropogenic drivers of contrasting population dynamics of hummingbirds [Dataset]. http://doi.org/10.5683/SP3/LR2Y4C
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    Borealis
    Authors
    Simon English; Scott Wilson; Qing Zhao; Christine Bishop; Alison Moran
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/LR2Y4Chttps://borealisdata.ca/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.5683/SP3/LR2Y4C

    Description

    AbstractConserving species requires knowledge of demographic rates (survival, recruitment) that govern population dynamics to allow the allocation of limited resources to the most vulnerable stages of target species' life cycles. Additionally, quantifying drivers of demographic change facilitates the enactment of specific remediation strategies. However, knowledge gaps persist in how similar environmental changes lead to contrasting population dynamics through demographic rates. For sympatric hummingbird species, the population of urban-associated partial-migrant Anna's hummigbird (Calypte anna) has increased, yet the populations of Neotropical migrants including rufous, calliope, and black-chinned hummingbirds have decreased. Here, we developed an integrated population model to jointly analyze 25 years of mark-recapture data and population survey data for these four species. We examined the contributions of demographic rates on population growth and evaluated the effects of anthropogenic stressors including human population density and crop cover on demographic change in relation to species' life histories. While recruitment appeared to drive the population increase of urban-associated Anna's hummingbirds, decreases in juvenile survival contributed most strongly to population declines of Neotropical migrants and highlight a potentially vulnerable phase in their life-history. Moreover, rufous hummingbird adult and juvenile survival rates were negatively impacted by human population density. Mitigating threats associated with intensively modified anthropogenic environments is a promising avenue for slowing further hummingbird population loss. Overall, our model grants critical insight into how anthropogenic modification of habitat affects the population dynamics of species of conservation concern. MethodsThis R data file contains a named list for each species in our study. It has been processed to remove covariates and data that are not public domain but are available for download at the links provided (indicated with * in the readme file). Each species list contains mark-recapture records (y), the known-state records (z), number of years spanned by the analysis (n.years), numbers banded individuals (n.ind), banding station membership (sta), number of banding stations (n.sta), year of first encounter for each individual (first), year of last possible encounter of each individual if it were to be alive (last), first and last years of mark recapture data (first_yr / last_yr), sex (1 = male, 2 = female) and age (1 = juvenile, 2 = adult) membership for each individual, the observed residency information for each individual in each year (r), the partially observed residency state information for each individual (u), the standardized human population density and crop data in the 3 kilometers around each banding station (HPD / crop), the unstandardized HPD and crop data (HPD_raw / crop_raw), the number of days of operational banding activity at each station each year (effort), and indicator for each station and year signifying whether banding occurred on at least two occasions separated by more than 5 days that year (kappa_shrink), the BBS survey year (year), an indicator of whether the BBS surveyor was suveying on their first year or not (firstyr), the number of BBS surveys (ncounts), the species tally on a given survey (count), the number of individual transects surveyed over the study period (nrte), the BBS transect membership for each count (rte), the number of observers contributing data over the study period (nobserver), the anonymized observer ID on a given transect for each count (rte.obser), and the initial abundance estimate given as the mean count across all transects and years, inflated by 100 for precise estimation of demographic rates (lam0). Usage notesData can be opened in R and analyzed using Nimble.

  17. n

    Data from: Correlates of habitat fragmentation and northern bobwhite...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Dec 16, 2018
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    Katherine S. Miller; Leonard A. Brennan; Humberto Perotto-Baldivieso; Fidel Hernandez; Eric Grahmann; Atiye Z. Okay; X. Ben Wu; Markus Peterson; Heather Hannusch; Jose Mata; Jaclyn Robles; Taylor Shedd (2018). Correlates of habitat fragmentation and northern bobwhite abundance in the Gulf Prairie Landscape Conservation Cooperative [Dataset]. http://doi.org/10.5061/dryad.5nk0j
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    zipAvailable download formats
    Dataset updated
    Dec 16, 2018
    Dataset provided by
    California Department of Fish and Wildlife
    Texas A&M University
    Authors
    Katherine S. Miller; Leonard A. Brennan; Humberto Perotto-Baldivieso; Fidel Hernandez; Eric Grahmann; Atiye Z. Okay; X. Ben Wu; Markus Peterson; Heather Hannusch; Jose Mata; Jaclyn Robles; Taylor Shedd
    License

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

    Area covered
    Texas, Oklahoma, Louisiana
    Description

    The northern bobwhite Colinus virginianus has experienced range-wide declines over the last several decades, primarily due to habitat loss and habitat fragmentation. As northern bobwhite populations continue to decline, there is a need for studies that address the impact of habitat changes on population persistence at multiple spatial scales. Our goal was to assess changes in habitat and land use related to northern bobwhite declines across multiple spatial scales in Texas, Oklahoma, and Louisiana. We determined northern bobwhite trends for 1972-2012 using Breeding Bird Survey data. At the regional scale, we compared northern bobwhite population trends with road density (2000, 2012), human population (1970-2010), and land use (1974-2012). At the county and local scales, we compared class-level landscape metrics between counties with stable and declining northern bobwhite abundances using Student's t-tests. Northern bobwhite populations decreased from 45.95 ± 1.01 birds/route in 1970 to 11.55 ± 0.64 birds/route in 2012. Road density and human population increased by 3,331.32 ± 66.28 m/km2 and 42,873 ± 8,687 people/county, respectively. Percent pasture and rangeland was relatively stable, as was percent woodland. Alternatively, the percentage of other land (houses, roads, wasteland) increased. At the county scale, Texas and Oklahoma counties with declining northern bobwhite populations had higher road densities, larger patches of pasture, smaller patches of woodland, and larger patches of cropland compared to stable populations. At the local scale, Texas and Oklahoma counties with declining northern bobwhite populations had less woody cover in smaller patches, and fewer but larger patches of herbaceous and bare ground, compared to populations with stable abundance. Therefore, while managers can provide woody cover and reduce cropland effects at the local scale to support stable quail populations, the large-scale drivers of northern bobwhite decline, which are human population growth and resulting habitat loss, will be an important aspect of northern bobwhite conservation and management in the future.

  18. Data from: Bird species’ tolerance to human pressures and associations with...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Mar 5, 2024
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    Emma-Liina Marjakangas; Alison Johnston; Andrea Santangeli; Aleksi Lehikoinen (2024). Bird species’ tolerance to human pressures and associations with population change [Dataset]. http://doi.org/10.5061/dryad.83bk3jb08
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    zipAvailable download formats
    Dataset updated
    Mar 5, 2024
    Dataset provided by
    University of St Andrews
    Aarhus University
    University of Helsinki
    Authors
    Emma-Liina Marjakangas; Alison Johnston; Andrea Santangeli; Aleksi Lehikoinen
    License

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

    Description

    Aim: Some species thrive in human-dominated environments, while others are highly sensitive to all human pressures. However, standardised estimates of species’ tolerances to human pressures are lacking at large spatial extents and taxonomic breadth. Here, we quantify the world's bird species’ tolerances to human pressures. The associated precision values can be applied to scientific research and conservation. Location: Global. Time period: 2013–2021. Major taxa studied: 6090 bird species. Methods: We used binary observation data from eBird and modeled species’ occurrences as a function of the Human Footprint Index. Using these models, we predicted how likely each species was to occur under different levels of human pressures. Then, we calculated each species’ Human Tolerance Index (HTI) as the level of the Human Footprint Index where predicted occurrence probability was reduced to 50% of the maximum species’ occurrence probability. We used resampling to obtain estimates of uncertainty on the Human Tolerance Indices. We also compared tolerances across species with increasing, stable, and decreasing population trends. Results: We found that 22% of the bird species tolerated the most modified human-dominated environments, whereas 0.001% of species only occurred in the intact environments. We also found that HTI varied according to species’ population trend category, whereby species with decreasing population trends had a lower tolerance than species with increasing or stable population trends. Main conclusions: The estimated HTI indicates the potential of species to exist in a landscape of intensifying human pressures. It can identify species unable to tolerate these environments and inform subsequent conservation efforts. We found evidence that species’ sensitivity to human-dominated environments may be driving birds’ use of space. Bird species’ tolerances are also linked to their population trends, making the tolerances a relevant addition to conservation planning. Methods We used binary observation data from eBird and model species’ occurrences as a function of the Human Footprint Index. Using these models, we predicted how likely each species was to occur under different levels of human pressures. Then, we calculated species’ Human Tolerance Index (HTI) as the level of the Human Footprint Index where predicted occurrence probability was reduced to 50% of the maximum species’ occurrence probability for 6094 bird species. We used resampling to obtain estimates of uncertainty on the Human Tolerance Indices.

  19. n

    Data from: Genomic footprints of (pre) colonialism: Population declines in...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Dec 22, 2023
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    Peter A. Moran; Mirte Bosse; Janine Marien; Wouter Halfwerk (2023). Genomic footprints of (pre) colonialism: Population declines in urban and forest túngara frogs coincident with historical human activity [Dataset]. http://doi.org/10.5061/dryad.cc2fqz6d3
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    zipAvailable download formats
    Dataset updated
    Dec 22, 2023
    Dataset provided by
    Vrije Universiteit Amsterdam
    Authors
    Peter A. Moran; Mirte Bosse; Janine Marien; Wouter Halfwerk
    License

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

    Description

    Urbanisation is rapidly altering ecosystems, leading to profound biodiversity loss. To mitigate these effects, we need a better understanding of how urbanisation impacts dispersal and reproduction. Two contrasting population demographic models have been proposed that predict that urbanisation either promotes (facilitation model) or constrains (fragmentation model) gene flow and genetic diversity. Which of these models prevails likely depends on the strength of selection on specific phenotypic traits that influence dispersal, survival, or reproduction. Here, we a priori examined the genomic impact of urbanisation on the Neotropical túngara frog (Engystomops pustulosus), a species known to adapt its reproductive traits to urban selective pressures. Using whole-genome resequencing for multiple urban and forest populations we examined genomic diversity, population connectivity and demographic history. Contrary to both the fragmentation and facilitation models, urban populations did not exhibit substantial changes in genomic diversity or differentiation compared to forest populations, and genomic variation was best explained by geographic distance rather than environmental factors. Adopting an a posteriori approach, we additionally found both urban and forest populations to have undergone population declines. The timing of these declines appears to coincide with extensive human activity around the Panama Canal during the last few centuries rather than recent urbanisation. Our study highlights the long-lasting legacy of past anthropogenic disturbances in the genome and the importance of considering the historical context in urban evolution studies as anthropogenic effects may be extensive and impact non-urban areas on both recent and older timescales. Methods Full Methods description provided in manuscript: Moran et al., 2023 Genomic data: Whole genome resequencing data used in this study is available from the European Nucleotide Archive (ENA) (PRJEB60348). Environmental data: The collection of light (in Lux), noise (in dB SPL, fast, max, A-weighted) and canopy cover data (percentage canopy cover estimated from pictures) data was previously described and published in Halfwerk et al., 2019. The level of urbanisation (Urban_score) was calculated based on the type of landscape-cover for each sampling location using ‘Urbanisation Score’ software (Lipovits et al., 2015; Seress et al., 2014). This program accesses satellite images via GoogleMaps and applies a semi-automated approach to quantify the relative abundance of vegetation and impervious surfaces within a 1 km2 area around each sampling location. These values were then combined using principal component analysis (PCA) and an urbanisation score retained (PC1) for each location.

  20. d

    Data from: Continent-wide effects of urbanization on bird and mammal genetic...

    • search.dataone.org
    • data.niaid.nih.gov
    • +1more
    Updated Jun 18, 2025
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    Chloé Schmidt; Michael Domaratzki; Riikka Kinnunen; Jeff Bowman; Colin Garroway (2025). Continent-wide effects of urbanization on bird and mammal genetic diversity [Dataset]. http://doi.org/10.5061/dryad.cz8w9gj0c
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    Dataset updated
    Jun 18, 2025
    Dataset provided by
    Dryad Digital Repository
    Authors
    Chloé Schmidt; Michael Domaratzki; Riikka Kinnunen; Jeff Bowman; Colin Garroway
    Time period covered
    Jan 16, 2020
    Description

    Urbanization and associated environmental changes are causing global declines in vertebrate populations. In general, population declines of the magnitudes now detected should lead to reduced effective population sizes for animals living in proximity to humans and disturbed lands. This is cause for concern because effective population sizes set the rate of genetic diversity loss due to genetic drift, the rate of increase in inbreeding, and the efficiency with which selection can act on beneficial alleles. We predicted that the effects of urbanization should decrease effective population size and genetic diversity, and increase population-level genetic differentiation. To test for such patterns, we repurposed and reanalyzed publicly archived genetic data sets for North American birds and mammals. After filtering, we had usable raw genotype data from 85 studies and 41,023 individuals, sampled from 1,008 locations spanning 41 mammal and 25 bird species. We used census-based urban-rural desi...

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Statista (2025). Countries with the highest population decline rate 2024 [Dataset]. https://www.statista.com/statistics/264689/countries-with-the-highest-population-decline-rate/
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Countries with the highest population decline rate 2024

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Dataset updated
Apr 16, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2024
Area covered
Worldwide
Description

In the Cook Islands in 2024, the population decreased by about 2.24 percent compared to the previous year, making it the country with the highest population decline rate in 2024. Of the 20 countries with the highest rate of population decline, the majority are island nations, where emigration rates are high (especially to Australia, New Zealand, and the United States), or they are located in Eastern Europe, which suffers from a combination of high emigration rates and low birth rates.

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