The distribution and accumulation of organic matter, nitrogen (N) and phosp
horus (P) in mangrove soils at four sites along the Shark River estuary of
south Florida were investigated with empirical measures and a process-based
model. The mangrove nutrient model (NUMAN) was developed from the SEMIDEC
marsh organic matter model and parameterized with data from mangrove wetlan
ds. The soil characteristics in the four mangrove sites varied greatly in b
oth concentrations and profiles of soil carbon, N and P. Organic matter dec
reased from 82% in the upstream locations to 30% in the marine sites. Compa
risons of simulated and observed results demonstrated that landscape gradie
nts of soil characteristics along the estuary can be adequately modeled by
accounting for plant production, liner decomposition and export, and alloch
thonous input of mineral sediments. Model sensitivity analyses suggest that
root production has a more significant effect on soil composition than lit
ter fall. Model simulations showed that the greatest change in organic matt
er, N, and P occurred from the soil surface to 5 cm depth. The rapid decomp
osition of labile organic matter was responsible for this decrease in organ
ic matter. Simulated N mineralization rates decreased quickly with depth, w
hich corresponded with the decrease of labile organic matter. The increase
in organic matter content and decrease in soil bulk density from mangrove s
ites at downstream locations compared to those at upstream locations was co
ntrolled mainly by variation in allochthonous inputs of mineral matter at t
he mouth of the estuary, along with gradients in mangrove root production.
Research on allochthonouns sediment input and in situ root production of ma
ngroves is limited compared to their significance to understanding nutrient
biogeochemistry of these wetlands. More accurate simulations of temporal p
atterns of nutrient characteristics with depth will depend on including the
effects of disturbance such as hurricanes on sediment redistribution and b
iomass production.