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Factors influencing the presence of rodents in olive agrosystems in southern Tunisia using occupancy models

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Academic year: 2022

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Karama et al., 2020 Rodent occupancy in olives J.Anim.Plant Sci. ISSN 2071-7024 Vol.44 (3): 7717-7726 https://doi.org/10.35759/JAnmPlSci.v44-3.4

Factors influencing the presence of rodents in olive agrosystems in southern Tunisia using

occupancy models

Karama Ettiss 1,2*, Mohsen Chammem 1, Touhami Khorchani 1

1Laboratoire d’Elevage et de la Faune Sauvage, Institut des Régions Arides de Médenine, Médenine 4119 – Tunisia

2Institut National agronomique de Tunis – Université de Carthage, 43 Avenue Charles Nicolle, Tunis 1082– Tunisia

*Corresponding author: Karama Ettiss .hopefulmednino@hotmail.fr Key words: Rodent, detection, covariates, soil texture,

Publication date 30/06/2020, http://m.elewa.org/Journals/about-japs/

1 ABSTRACT

The identification of the factors associated with patch occupancy is particularly important to understand how animal species are distributed. This study investigated the habitat variables affecting the distribution of rodents in olive agrosystems and their relative impact. Thirty (30) stations for trapping rodents were identified. At each station, an area of one-hectare surface was selected and 20 snap traps were used between early November 2015 and February 2016 in olive agrosystems. The objective of this process was to collect presence/absence data and to identify major species that occupied such a landscape. Regarding site covariates potentially affecting rodent detection, Clay%, Silt %, Sand %, calcium carbonate%, Organic matter and distance from urban area were measured. A total of 68 individuals belonging to two species, namely Psammomys obesus (The fat sand rat) and Meriones libycus (The Libyan jird) were caught. Using a likelihood-based approach, it was found that rodents avoided loamy soils with high CaC0₃ rate and preferred landscapes with important distance from the urban area.

These findings may be useful by state and farmers for planning decisions to preserve agriculture.

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