Aggregated Seed Dispersal by Spider Monkeys Limits Recruitment to Clumped Patterns in Virola calophylla
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Citations
Seed dispersal effectiveness revisited: a conceptual review
Specialization, constraints, and conflicting interests in mutualistic networks.
Genetic analysis of landscape connectivity in tree populations
Enemies Maintain Hyperdiverse Tropical Forests
Thieving rodents as substitute dispersers of megafaunal seeds
References
Categorical Data Analysis
Herbivores and the Number of Tree Species in Tropical Forests
The maintenance of species-richness in plant communities: the importance of the regeneration niche
Ecology of Seed Dispersal
Statistical analysis of spatial point patterns
Related Papers (5)
Spatial patterns of seed dispersal, their determinants and consequences for recruitment.
Frequently Asked Questions (12)
Q2. What are the advantages of sleeping sites and V. calophylla females?
Sleeping sites and V. calophylla females are likely higher quality resource patches because they are larger in area, have higher seed densities, and are re-used more frequently than either in-transit or experimental sites.
Q3. How was the dispersion of adults in the 30-ha plot tested?
The dispersion of adults in the 30-ha plot and of seedlings and saplings within the 13 randomly placed transects was tested for deviations from complete spatial randomness.
Q4. What is the reason why the seedlings were clumped at sleeping sites?
repeated seed deposition at sleeping sites also may explain the trend of higher seedling/sapling densities there compared with V. calophylla females, even though the observed seed densities under females tended to be higher than under sleeping sites.
Q5. How was the dispersion of the seeds and saplings measured?
To quantify dispersion of seedlings and saplings, 13 parallel belt transects 334–419 m in length were placed in a stratified random design through a 30-ha plot.
Q6. How did the distance effect affect the survival of V. calophylla seeds?
The distance effect observed for survival of V. calophylla seeds was weaker, but would still result in an estimated 1.6-times greater odds of surviving for seeds 45 m from the nearest V. calophylla female.
Q7. What is the effect of seed dispersal on the spatial structure of V. calo?
the spatial structure of this V. calophylla population is substantially influenced by spatially aggregated seed dispersal, although density- and distance-dependent mortality play important roles in thinning clumped distributions of offspring as they age.
Q8. How did the variability affect the survival of V. calophylla seeds?
Although such variability reduces the predictability of the consequences of seed deposition patterns, even small, consistent differences among site types, accumulated over the large numbers of seeds deposited during time-scales relevant for sapling recruitment, can shape recruitment patterns, as the authors observed here.
Q9. What theory has shown that, when survival is density-dependent, can spatial variation in density modul?
Theory has shown that, when survival is density-dependent, spatial variation in density among subpopulations can modulate the magnitude of population fluctuations at larger scales (Chesson 1998).
Q10. What is the benefit of escaping predation at the parent?
The benefit of escaping predation at the parent by being dispersed away from it (Howe & Smallwood 1982) is therefore reduced for seeds dispersed to sleeping sites.
Q11. What is the significance of seed dispersal for plant community ecology?
in order to understand the importance of seed dispersal for plant community ecology, the authors must describe its consequences for later life stages and link patterns of dispersion among multiple life stages (Levine & Murrell 2003).
Q12. How was the estimate of K(d) adjusted?
The authors used an edge-corrected estimator of K(d):where n is the number of points in region A with area |A|, di,j is the distance between the ith and jth points, wi,j is the proportion of the circle with the center at i and passing through j, which lies within A, and Id(di,j) is an indicator function that is 1 if di,j is ≤ d. Estimates of K(d) were adjusted using a variance-stabilizing transformation: