Assessing the long-term contribution of nurse plants to restoration of Mediterranean forests through Markovian models

1. Based on short-term experimental data, facilitative interactions between woody plants (nurse-recruit interactions) have been described as essential for the restoration of Mediterranean forests. However, the long-term effects of nurse plants on vegetation dynamics are unknown. This study aims to p...

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Bibliographic Details
Published in:The Journal of applied ecology 2008-12, Vol.45 (6), p.1790-1798
Main Authors: Siles, G., Rey, P. J., Alcántara, J. M., Ramírez, J. M.
Format: Article
Language:English
Subjects:
Animal, plant and microbial ecology
Applied ecology
Biological and medical sciences
Communities
Conservation, protection and management of environment and wildlife
deciduous forests
ecological succession
Environmental degradation: ecosystems survey and restoration
facilitation
Flowers & plants
forest dynamics
forest ecology
forest fires
Forest regeneration
Forest succession
forest trees
Forests
Fundamental and applied biological sciences. Psychology
General aspects
Management Interventions
Markov analysis
Markov chains
mathematical models
Mediterranean climate
natural regeneration
Nurses
Plant ecology
Plant interaction
Plants
plant–plant interactions
post‐fire restoration
secondary succession
sensitivity
Sensitivity analysis
shrublands
Shrubs
Species
Studies
Vegetation
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Summary:1. Based on short-term experimental data, facilitative interactions between woody plants (nurse-recruit interactions) have been described as essential for the restoration of Mediterranean forests. However, the long-term effects of nurse plants on vegetation dynamics are unknown. This study aims to project post-fire vegetation dynamics from easily retrieved data, and to asses the long-term contribution of nurse plants to forest restoration. 2. In an area burned 20 years ago, we compared post-fire dynamics in three states of regeneration: pioneer scrubland; spontaneous pine regeneration stands; and late successional scrubland. For each regeneration state, we obtained an interaction matrix with the frequency of recruitment of a given species under the canopy of every other species in the community. These matrices provided the raw data to develop Markov chain models of community dynamics. We used sensitivity analyses to explore how small shifts in replacement probabilities between species (or between functional groups) may affect the similarity of the projected community to an undisturbed reference community. 3. Plots in the pioneer state had the lowest frequency of facilitative interactions. Matrix projection showed that, under the current frequency of facilitation, these pioneer scrublands would remain so in the long term. By contrast, the building state had the highest frequency of facilitation, and its projection suggested that it should reach a steady state very similar to the reference community. These results confirm that nurse facilitative effects are fundamental for a secondary successional trajectory of the post-fire dynamics. 4. Sensitivities showed that secondary succession may be launched in the pioneer state by increasing the frequency of seedlings of tall shrubs, evergreen and deciduous trees under small shrubs. 5. Synthesis and applications. Our Markov chain successional model is an analytical tool which can be applied rapidly and easily to determine successional trajectories for forest restoration. It allows: (i) evaluation of post-fire dynamics and identification of areas in need of intensive intervention (i.e. where secondary succession remains arrested leading to stasis in the pioneer state); (ii) assessment of the role of long-term facilitative nurse effects on restoration; and (iii) identification of species-pair combinations and functional nurse groups of value for further planting efforts.
ISSN:0021-8901
1365-2664
DOI:10.1111/j.1365-2664.2008.01574.x