INVESTIGADORES
GONZALEZ sofia Laura
congresos y reuniones científicas
Título:
Non linear ecological processes, fires, environmental heterogeneity and shrubs invasion in NW Patagonia, Argentina
Autor/es:
GHERMANDI LUCIANA; FRANZESE JORGELINA; GONZALEZ SOFÍA; DE TORRES CURTH MÓNICA
Lugar:
Viena, Austria
Reunión:
Congreso; European Geoscience Union, General Assembly 2008; 2008
Resumen:
Non linear ecological processes, fires, environmental
heterogeneity and shrub invasion in NW Patagonia,
Argentina
L. Ghermandi (1), J. Franzese (1), S. Gonzalez (1), M. de Torres Curth (1)
(1) Laboratorio Ecotono, INIBIOMA, CRUB-UNCo, Bariloche, Argentina
The behaviour of emergent nature is not only the sum of interactions among ecosystem
parts but it depends also on the organization of these interactions. Fire behaviour,
climate and vegetation patterns produce non linear fire propagation across landscape.
Fires can increase the abundance of determined species modifying the fire regime and
increasing the invasion of the same species (Fabiana imbricata and Senecio bracteolatus
shrubs in NW Patagonia). Environmental heterogeneity, like the presence of
outcrop, favours landscape patchiness with different fire frequencies and generates occupation
of fire refuges by species that can survive there (Autrocedrus chilensis tree).
We monitored shrub cover and recruitment during 8 postfire years in NW Patagonia
grasslands. We described shrub population dynamics with matrix models projecting
the population in hypothetical scenarios of different fires and ENSO (El Niño Southern
Oscillation) frequencies. Fire promote shrub invasion in NW Patagonia. Global
climate chance suggests the increase of frequency and amplitude of ENSO phenomena,
which in NW Patagonia implies more coupled fires and rainy springs, and consequently
more shrub windows of recruitment. The matrix models indicate that this
scenario promotes shrub invasion. Future satellite images and aerial photographs analysis
will provide information about long term changes in vegetation and fire regime.
Our results improve the knowledge of ecosystem properties and processes providing
useful information for grassland sustainable use.