Bj. Butler et Rl. Chazdon, SPECIES RICHNESS, SPATIAL VARIATION, AND ABUNDANCE OF THE SOIL SEED BANK OF A SECONDARY TROPICAL RAIN-FOREST, Biotropica, 30(2), 1998, pp. 214-222
Despite the importance of the soil seed bank in tropical forest regene
ration, little is known about spatial variability in species compositi
on and abundance of seeds stored in the soil. To develop sampling meth
ods For comparative studies, we examined species richness, spatial var
iation, and abundance of germinants from the soil seed bank in a 16 ye
ar old secondary, tropical wet forest at La Selva Biological Station,
Costa Rica. Surface soil (10 cm deep, 4.7 cm diameter) was collected a
t the intersection points of a gridded 1 ha plot (10 x 10-m grid, 121
samples) and in a nested 100 m(2) subplot (2 x 2-m grid, 36 samples).
The 1 ha plot had a density of 4535 seeds/m(2) with 34 species observe
d. Based on a series of 100 randomized species accumulation curves, a
Michaelis-Menten fit predicted a mean species richness of 36.3 species
; the number of observed species was close to the predicted asymptote.
A nonparametric, first-order jackknife species richness estimator pre
dicted a species richness of 37.0 species. Eighty-five and 95 percent
of the observed species richness is contained, on average, within 41 a
nd 74 pooled samples, respectively. Within the 100 m2 nested subplot,
a density of 5476 seeds/m(2) was observed, comprising 26 species with
an estimated species richness (Michaelis-Menten fit) of 29.1 species.
The jackknife species richness estimator predicted a species richness
of 36.7 species. For species richness and abundance of both plots, spa
cial autocorrelation statistics (Moran's I) were not significantly dif
ferent from zero at lag distances from 2 to 100 m, indicating a random
distribution at these spatial scales. For this sire, accurate estimat
es of species composition depend upon the number of samples collected
as well as the spatial distribution of sampling effort. Many small sam
ples distributed over a large area provide greater accuracy and precis
ion for estimating species richness of the soil seed bank.