2015
DOI: 10.1007/s10344-015-0922-8
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Influence of human activities on the activity patterns of Japanese sika deer (Cervus nippon) and wild boar (Sus scrofa) in Central Japan

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Cited by 52 publications
(33 citation statements)
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“…An offset of the model was defined as the number of each camera‐days × given time period in hours, and it was included in all modelling. The camera trap identity was considered a random effect in our model to distinguish between the effects of non‐independent variables, such as environmental alteration and spatial arrangement (van Doormaal et al ., ). The interactions between the time period and main prey species availability and human disturbances (human activity and grazing) were included in our model as fixed explanatory effects.…”
Section: Methodsmentioning
confidence: 97%
“…An offset of the model was defined as the number of each camera‐days × given time period in hours, and it was included in all modelling. The camera trap identity was considered a random effect in our model to distinguish between the effects of non‐independent variables, such as environmental alteration and spatial arrangement (van Doormaal et al ., ). The interactions between the time period and main prey species availability and human disturbances (human activity and grazing) were included in our model as fixed explanatory effects.…”
Section: Methodsmentioning
confidence: 97%
“…DNA‐based tools can be used to infer diet composition as the DNA for many indiscernible ingested items such as eggs, animals, and plants is often still present (Schley & Roper, ; Valentini et al., ). High‐throughput sequencing (HTS) allows for the parallel sequencing of target amplicons across many samples and makes the comparative analyses of diets from multiple fecal samples increasingly tractable, particularly for fauna with complex behaviors (van Doormaal, Ohashi, Koike, & Kaji, ; Marini, Franzetti, Calabrese, Cappellini, & Focardi, ; Podgórski et al., ) or omnivorous feeding habits (De Barba et al., ). These features combined with the ever‐increasing size of DNA sequence reference databases improve the ability to detect rare or seasonal food items that might otherwise be missed (De Barba et al., ; Valentini et al., ).…”
Section: Introductionmentioning
confidence: 99%
“…Increased hunting pressure is characteristic of degraded landscapes (Brodie et al, ; Peres, ) as there is greater accessibility for commercial and subsistence hunters, and the need to control crop pests (Bennett, Nyaoi, & Sompud, ; Luskin, Christina, Kelley, & Potts, ). This may lead animals to reduce their overall activity levels and bear the associated fitness costs (van Doormaal, Ohashi, Koike, & Kaji, ; Downes, ) or concentrate their activity at times of lower risk (Suselbeek et al, ). Temporal plasticity in response to human encroachment, typically in the form of increased nocturnality, has been well documented in medium to large mammals (Di Bitetti, Paviolo, Ferrari, De Angelo, & Di Blanco, ; Gaynor, Hojnowski, Carter, & Brashares, ; Oberosler, Groff, Iemma, Pedrini, & Rovero, ; Ramesh & Downs, ).…”
Section: Introductionmentioning
confidence: 99%
“…We established sites in primary forests, logged forests, and oil palm plantations to investigate the consequences of forest degradation and conversion on bearded pig demographics, activity patterns, and group behavior. We tested three main hypotheses: (1) bearded pig age structure will change across land‐uses as anthropogenic disturbance impacts vital demographic rates (Brodie et al, ; Gamelon et al, ; Servanty, Gaillard, Toïgo, Brandt, & Baubet, ; Srinivasan et al, ; Toïgo, Servanty, Gaillard, Brandt, & Baubet, ); (2a) activity level will decrease in modified habitats (van Doormaal et al, ) and (2b) circadian activity patterns will shift toward nocturnality (Gaynor et al, ), as bearded pigs avoid increased daytime temperatures (Hardwick et al, ; Owen‐Smith, ) and human disturbance (Brodie et al, ; Di Bitetti et al, ; Ohashi et al, ); and (3) groups of bearded pigs will be more common and contain more individuals in undisturbed primary forests due to associated navigation advantages (Biro, Sumpter, Meade, & Guilford, ; Couzin, Krause, Franks, & Levin, ; Dell’Ariccia, Dell’Omo, Wolfer, & Lipp, ; Nesterova et al, ). The final hypothesis serves as an empirical test, at the landscape level, of Hancock et al’s () modeling prediction that group formation in nomadic foragers is more advantageous when resources are randomly and patchily distributed.…”
Section: Introductionmentioning
confidence: 99%
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