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Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania
The multimammate mice (Mastomys natalensis) is the most-studied rodent species in sub-Saharan Africa, where it is an important pest species in agriculture and carrier of zoonotic diseases (e.g. Lassa virus). Here, we provide a unique dataset that consists of twenty-nine years of continuous monthly c...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640561/ https://www.ncbi.nlm.nih.gov/pubmed/37952006 http://dx.doi.org/10.1038/s41597-023-02700-3 |
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author | Leirs, Herwig Kirkpatrick, Lucinda Sluydts, Vincent Sabuni, Christopher Borremans, Benny Katakweba, Abdul Massawe, Apia Makundi, Rhodes Mulungu, Loth Machang’u, Robert Mariën, Joachim |
author_facet | Leirs, Herwig Kirkpatrick, Lucinda Sluydts, Vincent Sabuni, Christopher Borremans, Benny Katakweba, Abdul Massawe, Apia Makundi, Rhodes Mulungu, Loth Machang’u, Robert Mariën, Joachim |
author_sort | Leirs, Herwig |
collection | PubMed |
description | The multimammate mice (Mastomys natalensis) is the most-studied rodent species in sub-Saharan Africa, where it is an important pest species in agriculture and carrier of zoonotic diseases (e.g. Lassa virus). Here, we provide a unique dataset that consists of twenty-nine years of continuous monthly capture-mark-recapture entries on one 3 ha mosaic field (MOSA) in Morogoro, Tanzania. It is one of the most accurate and long-running capture-recapture time series on a small mammal species worldwide and unique to Africa. The database can be used by ecologists to test hypotheses on the population dynamics of small mammals (e.g. to test the effect of climate change), or to validate new algorithms on real long-term field data (e.g. new survival analyses techniques). It is also useful for both scientists and decision-makers who want to optimize rodent control strategies and predict outbreaks of multimammate mice. |
format | Online Article Text |
id | pubmed-10640561 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106405612023-11-11 Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania Leirs, Herwig Kirkpatrick, Lucinda Sluydts, Vincent Sabuni, Christopher Borremans, Benny Katakweba, Abdul Massawe, Apia Makundi, Rhodes Mulungu, Loth Machang’u, Robert Mariën, Joachim Sci Data Data Descriptor The multimammate mice (Mastomys natalensis) is the most-studied rodent species in sub-Saharan Africa, where it is an important pest species in agriculture and carrier of zoonotic diseases (e.g. Lassa virus). Here, we provide a unique dataset that consists of twenty-nine years of continuous monthly capture-mark-recapture entries on one 3 ha mosaic field (MOSA) in Morogoro, Tanzania. It is one of the most accurate and long-running capture-recapture time series on a small mammal species worldwide and unique to Africa. The database can be used by ecologists to test hypotheses on the population dynamics of small mammals (e.g. to test the effect of climate change), or to validate new algorithms on real long-term field data (e.g. new survival analyses techniques). It is also useful for both scientists and decision-makers who want to optimize rodent control strategies and predict outbreaks of multimammate mice. Nature Publishing Group UK 2023-11-11 /pmc/articles/PMC10640561/ /pubmed/37952006 http://dx.doi.org/10.1038/s41597-023-02700-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Leirs, Herwig Kirkpatrick, Lucinda Sluydts, Vincent Sabuni, Christopher Borremans, Benny Katakweba, Abdul Massawe, Apia Makundi, Rhodes Mulungu, Loth Machang’u, Robert Mariën, Joachim Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title | Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title_full | Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title_fullStr | Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title_full_unstemmed | Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title_short | Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania |
title_sort | twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (mastomys natalensis) in morogoro, tanzania |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640561/ https://www.ncbi.nlm.nih.gov/pubmed/37952006 http://dx.doi.org/10.1038/s41597-023-02700-3 |
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