Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania
Abstract 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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-11-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-023-02700-3 |
| _version_ | 1797630449202233344 |
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| author | Herwig Leirs Lucinda Kirkpatrick Vincent Sluydts Christopher Sabuni Benny Borremans Abdul Katakweba Apia Massawe Rhodes Makundi Loth Mulungu Robert Machang’u Joachim Mariën |
| author_facet | Herwig Leirs Lucinda Kirkpatrick Vincent Sluydts Christopher Sabuni Benny Borremans Abdul Katakweba Apia Massawe Rhodes Makundi Loth Mulungu Robert Machang’u Joachim Mariën |
| author_sort | Herwig Leirs |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T11:08:24Z |
| format | Article |
| id | doaj.art-57f3b31ed60e4049af67801e6d2ae563 |
| institution | Directory Open Access Journal |
| issn | 2052-4463 |
| language | English |
| last_indexed | 2024-03-11T11:08:24Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj.art-57f3b31ed60e4049af67801e6d2ae5632023-11-12T12:06:21ZengNature PortfolioScientific Data2052-44632023-11-011011810.1038/s41597-023-02700-3Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, TanzaniaHerwig Leirs0Lucinda Kirkpatrick1Vincent Sluydts2Christopher Sabuni3Benny Borremans4Abdul Katakweba5Apia Massawe6Rhodes Makundi7Loth Mulungu8Robert Machang’u9Joachim Mariën10Evolutionary Ecology Group, Department of Biology, University of AntwerpEvolutionary Ecology Group, Department of Biology, University of AntwerpEvolutionary Ecology Group, Department of Biology, University of AntwerpInstitute of Pest Management, Sokoine University of AgricultureEvolutionary Ecology Group, Department of Biology, University of AntwerpInstitute of Pest Management, Sokoine University of AgricultureInstitute of Pest Management, Sokoine University of AgricultureInstitute of Pest Management, Sokoine University of AgricultureInstitute of Pest Management, Sokoine University of AgricultureInstitute of Pest Management, Sokoine University of AgricultureEvolutionary Ecology Group, Department of Biology, University of AntwerpAbstract 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.https://doi.org/10.1038/s41597-023-02700-3 |
| spellingShingle | Herwig Leirs Lucinda Kirkpatrick Vincent Sluydts Christopher Sabuni Benny Borremans Abdul Katakweba Apia Massawe Rhodes Makundi Loth Mulungu Robert Machang’u Joachim Mariën Twenty-nine years of continuous monthly capture-mark-recapture data of multimammate mice (Mastomys natalensis) in Morogoro, Tanzania Scientific Data |
| 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 |
| url | https://doi.org/10.1038/s41597-023-02700-3 |
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