Ne. Mcintyre et Ja. Wiens, Interactions between habitat abundance and configuration: experimental validation of some predictions from percolation theory, OIKOS, 86(1), 1999, pp. 129-137
Recent neutral landscape models derived from percolation theory predict tha
t a landscape with sparse but contagious habitat coverage is functionally e
quivalent to one with more abundant but randomly situated habitat patches.
We tested this prediction in a field experiment that determined how habitat
-patch abundance and configuration affect landscape use by animals. Using a
2 x 2 factorial design in a 25-m(2) landscape, we created four treatments
by varying the ratio of habitat (grass) to non-habitat (sand) patches (10%:
90% vs 20%:80%) and the clustering of grass habitat patches (random vs cont
agious). We then followed the movements of tenebrionid beetles (Coleoptera:
Tenebrionidae) through these experimental landscapes and measured their pa
thway characteristics. Our results were largely consistent with neutral-mod
el predictions, in that the amount of habitat present had a greater influen
ce than did habitat configuration and habitat abundance exerted its stronge
st influence on movement behaviours when habitat was sparse, regardless of
spatial pattern. However, we also detected interactions between the amount
and spatial arrangement of habitat patches that reflected how beetles respo
nded to certain landscape-level properties of different abundances and conf
igurations of habitat: average habitat-patch size and the distance between
patches were better predictors of beetle responses than were the average nu
mber of patches or the amount of patch edge (perimeter) within a treatment.
Because of such latent influences of landscape-level habitat properties, o
ur results have important implications for conservation efforts that endeav
our to preserve landscape function by maintaining some minimum amount of ha
bitat coverage. Interactions between habitat abundance and configuration co
mplicate the detection and definition of landscape function, illustrating t
he need for a spatially realistic approach in habitat management.