Vegetation structure governs nest predation in three types of conifer forest habitats

Dagan, Uzi; Izhaki, Ido

doi:10.1007/s10342-020-01279-3

Cited by 2 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different artificial prey and seeds demonstrated idiosyncratic vegetation characteristics associated with their predation, which may be explained by the microhabitat requirements of their predators during hunting (Martin, 1995;Seibold et al, 2013;Dagan and Izhaki, 2020). Model selection and hierarchical partitioning showed that vegetation cover may be the most influential variable for predation.…”

Section: Hypothesis 3: Vegetation Structure Explains Predation Probabilitymentioning

confidence: 99%

“…Specifically, higher nest predation in tropical montane forest may be associated with lower aboveground biomass and canopy cover-a biotic environment which could increase the exposure and visibility of the nests to predators (Martin, 1995). On the other hand, higher predation of seeds, caterpillars and frogs may be associated with higher vegetation cover, which potentially provides predators with protection (Seibold et al, 2013;Dagan and Izhaki, 2020).…”

Section: Hypothesis 3: Vegetation Structure Explains Predation Probabilitymentioning

confidence: 99%

See 1 more Smart Citation

Predation on Multiple Prey Types Across a Disturbance Gradient in Tropical Montane Forests of Peninsular Malaysia

Murray

Soh

Puan

et al. 2020

Front. For. Glob. Change

View full text Add to dashboard Cite

Section: Hypothesis 3: Vegetation Structure Explains Predation Probabilitymentioning

confidence: 99%

Section: Hypothesis 3: Vegetation Structure Explains Predation Probabilitymentioning

confidence: 99%

Predation on Multiple Prey Types Across a Disturbance Gradient in Tropical Montane Forests of Peninsular Malaysia

Murray

Soh

Puan

et al. 2020

Front. For. Glob. Change

View full text Add to dashboard Cite

Nest density, egg conspicuity, vegetation structure and seasonality affect artificial nest predation in the Brazilian Cerrado

2022

View full text Add to dashboard Cite

Nest predators use visual, acoustic and chemical cues to locate nests. In the Neotropics, predation is high being the main cause of nest failure. Despite that, it is still not completely clear what kind of information predators are using to find nests or whether predators respond differently according to habitat characteristics. Here, we executed an experimental manipulation to investigate how different ecological factors influence nest predation probability. We hypothesised that egg conspicuousness, nest clustering and a more open vegetation structure would increase nest predation probability, and that nest predation would be higher during the breeding season of most avian species in the region. We used artificial nests baited with plasticine and quail eggs (Coturnix coturnix), manipulated egg coloration and nest density. Artificial nests were distributed over forest and savanna-like vegetations. Overall predation rate was 40.9%. We found that nests baited with conspicuous eggs, located in open habitats, at higher densities and during the dry period were more predated. Results suggest that main predators must be visually orientated, and that egg crypsis is an important trait for open-nest species in the area. Moreover, a higher nest density may affect predator behaviour, favouring an increase in nest searching, which may be facilitated in open habitats.

show abstract

Vegetation structure governs nest predation in three types of conifer forest habitats

Cited by 2 publications

References 51 publications

Predation on Multiple Prey Types Across a Disturbance Gradient in Tropical Montane Forests of Peninsular Malaysia

Predation on Multiple Prey Types Across a Disturbance Gradient in Tropical Montane Forests of Peninsular Malaysia

Nest density, egg conspicuity, vegetation structure and seasonality affect artificial nest predation in the Brazilian Cerrado

Contact Info

Product

Resources

About