Cargando…
Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018
The Serengeti ecosystem spans an extensive network of protected areas in Tanzania, eastern Africa, and a UNESCO Wold Heritage Site. It is home to some of the largest animal migrations on the planet. Here, we describe a dataset consisting of the sample counts of three age classes (infant, juvenile an...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577988/ https://www.ncbi.nlm.nih.gov/pubmed/33087720 http://dx.doi.org/10.1038/s41597-020-00701-0 |
_version_ | 1783598277708480512 |
---|---|
author | Rogy, Pierre Sinclair, Anthony R. E. |
author_facet | Rogy, Pierre Sinclair, Anthony R. E. |
author_sort | Rogy, Pierre |
collection | PubMed |
description | The Serengeti ecosystem spans an extensive network of protected areas in Tanzania, eastern Africa, and a UNESCO Wold Heritage Site. It is home to some of the largest animal migrations on the planet. Here, we describe a dataset consisting of the sample counts of three age classes (infant, juvenile and adult) of 13 ungulate and one ostrich species. Sample counts were tallied visually from the ground, or, in some instances, aerial photographs, during a period extending from 1926 to 2018. Observed animals were assigned to age classes based on specific criteria for each species. For nine of the 14 species of this dataset, the number of sampling years is over 30. This resulted in a total of 533 different records of count across age classes. By computing age-class ratios, these data can be used to measure long-term recruitment success at different ages of the tallied species. In particular, the temporal extent of these data allows comparison of patterns to other long-term processes, such as the El Niño-Southern Oscillation (ENSO). |
format | Online Article Text |
id | pubmed-7577988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-75779882020-10-23 Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 Rogy, Pierre Sinclair, Anthony R. E. Sci Data Data Descriptor The Serengeti ecosystem spans an extensive network of protected areas in Tanzania, eastern Africa, and a UNESCO Wold Heritage Site. It is home to some of the largest animal migrations on the planet. Here, we describe a dataset consisting of the sample counts of three age classes (infant, juvenile and adult) of 13 ungulate and one ostrich species. Sample counts were tallied visually from the ground, or, in some instances, aerial photographs, during a period extending from 1926 to 2018. Observed animals were assigned to age classes based on specific criteria for each species. For nine of the 14 species of this dataset, the number of sampling years is over 30. This resulted in a total of 533 different records of count across age classes. By computing age-class ratios, these data can be used to measure long-term recruitment success at different ages of the tallied species. In particular, the temporal extent of these data allows comparison of patterns to other long-term processes, such as the El Niño-Southern Oscillation (ENSO). Nature Publishing Group UK 2020-10-21 /pmc/articles/PMC7577988/ /pubmed/33087720 http://dx.doi.org/10.1038/s41597-020-00701-0 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Rogy, Pierre Sinclair, Anthony R. E. Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title | Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title_full | Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title_fullStr | Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title_full_unstemmed | Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title_short | Long-term surveys of age structure in 13 ungulate and one ostrich species in the Serengeti, 1926–2018 |
title_sort | long-term surveys of age structure in 13 ungulate and one ostrich species in the serengeti, 1926–2018 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577988/ https://www.ncbi.nlm.nih.gov/pubmed/33087720 http://dx.doi.org/10.1038/s41597-020-00701-0 |
work_keys_str_mv | AT rogypierre longtermsurveysofagestructurein13ungulateandoneostrichspeciesintheserengeti19262018 AT sinclairanthonyre longtermsurveysofagestructurein13ungulateandoneostrichspeciesintheserengeti19262018 |