2023
DOI: 10.1111/btp.13229
|View full text |Cite
|
Sign up to set email alerts
|

Seasonal shifts in large mammal activity relative to fruit availability and hunting risk along a protected area boundary in Borneo

Abstract: Understanding wildlife spatiotemporal dynamics at protected area boundaries is critical to conservation. In SE Asia, protected areas are often bordered by indigenous communities whose traditional practices result in increased landscape heterogeneity within their community managed forests (CF). Because SE Asian forests exhibit supra-annual mast fruiting (3-7 yrs) and sustained fruit scarcity, wildlife using CF may benefit from greater availability of fruits and seeds encouraged by traditional management, but in… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
4
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 77 publications
0
4
0
Order By: Relevance
“…The most significant difference between these forests was the presence of mixed-use mosaic at the pulau boundaries. The mixed-use mosaic showed more consistent fruiting, in large part, supported by the presence of pantu palm (Eugeissona utilis) and an early successional invasive tree (Bellucia pentamera), which may have long-term consequences for wildlife communities and forest regeneration (Cosby, 2020;Dillis et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…The most significant difference between these forests was the presence of mixed-use mosaic at the pulau boundaries. The mixed-use mosaic showed more consistent fruiting, in large part, supported by the presence of pantu palm (Eugeissona utilis) and an early successional invasive tree (Bellucia pentamera), which may have long-term consequences for wildlife communities and forest regeneration (Cosby, 2020;Dillis et al, 2018).…”
Section: Discussionmentioning
confidence: 99%
“…We normalized all counts of fruiting trees by total number of fruit trees within a plot, for example, Count of Fruiting Trees Per Plot = (Total fruiting trees per survey per plot ÷ Total trees in plot)*100. Models were created using the following datasets: full dataset, fruiting trees across all years regardless of genera; subset of full dataset, Shorea which fruits on a multi-year cycle; subset of full dataset, Lithocarpus which fruits regardless of season but the number of trees that produced fruit varied by year at this site and close involvement of community elders who provided insight into farming practices (Cosby, 2020), we believe management was likely the main driver influencing availability of fruit in this case.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations