INCITAP   20787
INSTITUTO DE CIENCIAS DE LA TIERRA Y AMBIENTALES DE LA PAMPA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
APPLYING COMMUNITY ASSEMBLY RULES TO UNDERSTAND INVASION - THE SEED PREDATION FILTER
Autor/es:
PEARSON, DEAN E.; HIERRO, J.L.; J.L. MARON; N. ICASATTI; R. CALLAWAY; J. RUNYON; Y. ORTEGA
Reunión:
Congreso; Northwest Science Meeting; 2014
Resumen:
Exotic plant invasions have devastated native ecosystems since humans began facilitating the movement
of species across natural barriers. Yet we still do not fully understand how some invaders accomplish
this. Invasion outcomes should be generally predictable based on how individual species traits relate to
community filters - independent of species origins. However, exotic species invasions commonly result
in virtual monocultures, not normally found in native systems, suggesting that biological invasions
challenge the premise of community assembly theory. Here we apply community assembly theory to
examine how native and exotic plants respond to a specific biotic filter, seed predation by native rodents
and ants, in central Argentina and west-central Montana. Briefly describe how theory was applied to
arrive at these conclusions. We found that the in situ seed predation filter in central Argentina, a system
we show is relatively resistant to invasion, was strongly biased against exotics, while the seed predation
filter in Montana, a system relatively susceptible to invasion, was biased in favor of exotics. In both
systems seed size largely predicted invader responses to the filter, but we also found that some strongly
invasive exotics evaded the filter, possibly via chemical defenses. Applying community assembly theory
to exotic plant invasions demonstrates that in situ filters can help explain the relative invasiveness of
many exotic plants (particularly, weakly to moderately successful invaders) and possibly the differential
susceptibility of systems to invasion. However, understanding invasion outcomes for some strong
invaders may require deciphering how these species evade in situ filters.