Modelling secondary succession of neotropical mangroves: Causes and consequences of growth reduction in pioneer species
Authored by Volker Grimm, Uta Berger, Hanno Hildenbrandt, M Adams
Date Published: 2006
DOI: 10.1016/j.ppees.2005.08.001
Sponsors:
German Federal Ministry of Education and Research (BMBF)
Brazilian National Council for Scientific and Technological Development (CNPq)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Mangrove forest structure is the result of interactions between species
responses to abiotic stress factors, disturbance, dispersal and
competition. The combination of abiotic conditions and disturbance
history may determine the growth potential of the species, whereas
dispersal, competition and external or biogenic changes in abiotic
conditions may tune their succession. Even in forests with only a few
species.. this set of factors can create multiple species compositions.
For example, pure stands of the mancyrove Laguncularia are common in
newly colonized areas, but they may evolve into mixed stands dominated
by Rhizophora or Avicennia. We demonstrate such an evolution with a
field study of mangroves established in abandoned rice fields. We use an
individual-based simulation model to understand how species-dependent
dispersal, growth rate and shade tolerance lead to the observed patterns
in horizontal and vertical forest structure. We find that the initially
dominating species will be gradually replaced in the canopy. This
alteration cannot be explained exclusively by shade tolerance of the
succeeding species. Rather, it is essential to assume that the height
growth rate of the pioneer species slows down relative to those of the
later species. A decrease in nutrient availability may be responsible
for these relative changes in the growth rates of different species. (c)
2005 Rubel Foundation, ETH Zurich. Published by Elsevier GmbH. All
rights reserved.
Tags
Competition
Dynamics
biomass
patterns
Forest
Regeneration
Seedlings
Tree mortality