Closing the gaps for animal seed dispersal: Separating the effects of habitat loss on dispersal distances and seed aggregation
Authored by Landon R Jones, Scott M Duke-Sylvester, Paul L Leberg, Derek M Johnson
Date Published: 2017
DOI: 10.1002/ece3.3113
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Abstract
Habitat loss can alter animal movements and disrupt animal seed
dispersal mutualisms; however, its effects on spatial patterns of seed
dispersal are not well understood. To explore the effects of habitat
loss on seed dispersal distances and seed dispersion (aggregation), we
created a spatially explicit, individual-based model of an animal
dispersing seeds (SEADSSpatially Explicit Animal Dispersal of Seeds) in
a theoretical landscape of 0\%-90\% habitat loss based on three animal
traits: movement distance, gut retention time, and time between
movements. Our model design had three objectives: to determine the
effects of (1) animal traits and (2) habitat loss on seed dispersal
distances and dispersion and (3) determine how animal traits could
mitigate the negative effects of habitat loss on these variables. SEADS
results revealed a complex interaction involving all animal traits and
habitat loss on dispersal distances and dispersion, driven by a novel
underlying mechanism of fragment entrapment. Unexpectedly, intermediate
habitat loss could increase dispersal distances and dispersion relative
to low and high habitat loss for some combinations of animal traits. At
intermediate habitat loss, movement between patches was common, and
increased dispersal distances and dispersion compared to continuous
habitats because animals did not stop in spaces between fragments.
However, movement between patches was reduced at higher habitat loss as
animals became trapped in fragments, often near the parent plant, and
dispersed seeds in aggregated patterns. As movement distance increased,
low time between movements and high gut retention time combinations
permitted more movement to adjacent patches than other combinations of
animal traits. Because habitat loss affects movement in a nonlinear
fashion under some conditions, future empirical tests would benefit from
comparisons across landscapes with more than two levels of
fragmentation.
Tags
Individual-based model
behavior
spatial pattern
fragmented landscapes
birds
mechanistic model
Long-distance dispersal
Recruitment
Consequences
Tree
Spatial-patterns
Long
Temperate forest
Forest fragmentation
Fragment entrapment
Spatially contagious dispersal