S. Schwinning et Aj. Parsons, ANALYSIS OF THE COEXISTENCE MECHANISMS FOR GRASSES AND LEGUMES IN GRAZING SYSTEMS, Journal of Ecology, 84(6), 1996, pp. 799-813
1 It is widely assumed that grass-legume associations offer a way to s
ustainable, low input land use, with reduced environmental impact. How
ever, a combination of both ecological and physiological principles ma
y be needed to understand the sustainability of species balances. 2 To
increase understanding of grass-legume dynamics, we developed a model
that extends a recently proposed pasture model (Thornley, Bergelson &
Parsons: Annals of Botany 1995, 75, 79-94) by including selective gra
zing and spatial considerations, Population oscillations were shown to
stem from the way grasses can exploit leguminous N fixation. If the l
egume is a relatively good competitor for light, populations do not os
cillate near equilibrium, but in the converse case, populations do osc
illate. 3 Large amplitude oscillations can arise when there are suffic
iently long time delays in the plant populations' responses to changes
in the competitive environment. In the present model, these stem from
variable internal substrate pools (of C and N), which uncouple biosyn
thesis from resource uptake, but other time delay mechanisms are easil
y envisaged. 4 Urine deposits prevent the establishment of equilibrium
within patches, but spatially random urine deposition stabilizes popu
lation fluctuations at the field scale. This is because perturbations
to local N cycles desynchronize patches with regard to the grass-legum
e population cycle. 5 Differences in the soil N environment (fertilize
r input, leaching rate) determine whether the species can coexist, but
where coexistence is possible, species composition regulates soil min
eral N. 6 Selective grazing (herbivory) does not essentially alter the
grass-legume interaction, but complex foraging trade-offs lead to her
bivory effects that may seem counterintuitive. The model has important
implications for attempts to control the legume content of mixed spec
ies communities.