Article CC BY 4.0
refereed
published

Impacts of rainfall and rainfall anomalies on the population dynamics of rodents in southeast Asian rice fields

GND
1154536580
ORCID
0000-0002-1425-7793
Affiliation
Julius Kühn Institute (JKI), Institute for Epidemiology and Pathogen Diagnostics, Germany
Htwe, Nyo Me;
Affiliation
Research Center for Food Crop, novation, Indonesia National Research and Innovation Agency, Cibinong Bogor, West Java, Indonesia
Sudarmaji;
Affiliation
Research Center for Food Crop, novation, Indonesia National Research and Innovation Agency, Cibinong Bogor, West Java, Indonesia
Pustika, Arlyna Budi;
GND
1115007637
ORCID
0000-0001-5894-8329
Affiliation
CSIRO, Health & Biosecurity, Canberra, Australia
Brown, Peter R.;
Affiliation
Pesticides Action Network, Brighthelm Centre, Brighton, UK
Stuart, Alexander;
Affiliation
Crop Pest Management Division, Bureau of Plant Industry, Manila, Philippines
Duque, Ulysses;
ORCID
0000-0002-2154-1223
Affiliation
Natural Resources Institute, University of Greenwich, Chatham, UK
Singleton, Grant R.;
GND
122411307
ORCID
0000-0002-5136-6606
Affiliation
Julius Kühn Institute (JKI), Institute for Epidemiology and Pathogen Diagnostics, Germany
Jacob, Jens

BACKGROUND: The mechanisms that regulate multi-annual population dynamics of rodent pest species of cereal crops is often unknown. Better knowledge of such aspects can aid pest management and in turn improve food security and human health. The patterns and processes of the population dynamics of Rattus argentiventer, in rice fields of Indonesia, and Rattus tanezumi, in rice fields of the Philippines were assessed in this article.
RESULTS: The meta-analysis of trapping data over 20 years in Indonesia, and 16 years in the Philippines indicated that rodent populations in rice fields did not show a regular multi-annual pattern. Rattus argentiventer populations in Indonesia responded to less rainfall from the current year. Rattus tanezumi populations in the Philippines responded positively to both rainfall and rainfall anomaly with a 1-year time lag.
CONCLUSIONS: Our study of long-term population data indicates that certain combinations of rainfall parameters could be useful to predict years when there is higher rodent abundance in rice fields. The key rodent pest species in rice fields in Indonesia (R. argentiventer) and the Philippines (R. tanezumi) differ, and the populations of each species respond differently to rainfall anomalies. Other factors such as crop cover and water availability may also be important and should be considered in future work.

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License Holder: 2024 The Author(s).

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