SPECIES RICHNESS, SPATIAL VARIATION, AND ABUNDANCE OF THE SOIL SEED BANK OF A SECONDARY TROPICAL RAIN-FOREST

Citation
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
Citations number
44
Categorie Soggetti
Ecology,Biology
Journal title
ISSN journal
00063606
Volume
30
Issue
2
Year of publication
1998
Pages
214 - 222
Database
ISI
SICI code
0006-3606(1998)30:2<214:SRSVAA>2.0.ZU;2-8
Abstract
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.