期刊
JOURNAL OF ECOLOGY
卷 109, 期 9, 页码 3295-3307出版社
WILEY
DOI: 10.1111/1365-2745.13749
关键词
autogenic regulation; community dynamics; constancy; demographic processes; forest dynamics; recovery; stability; state variables
资金
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek [ALWOP.457]
- Universidad Nacional Autonoma de Mexico [PAPIIT IN216007, PAPIIT IN217620, PAPIIT IN218416, PAPIIT IN221503]
- [CB-2009-01-128136]
- [SEMARNAT-2002-C01-0267]
The study aimed to test the presence of autogenic regulation in dynamics of old-growth forest and secondary forest, indicating forest resilience. Analysis showed negative relationships between key state variables, their rates of change, and underlying demographic processes, supporting the hypothesis of autogenic regulation in integrated forest dynamics.
Engineering resilience, a forest's ability to maintain its properties in the event of disturbance, comprises two components: resistance and recovery. In human-dominated landscapes, forest resilience depends mostly on recovery. Forest recovery largely depends on autogenic regulation, which entails a negative feedback loop between rates of change in forest state variables and state variables themselves. Hence community dynamics change in response to deviations from forest equilibrium state. Based on the premise that autogenic regulation is a key aspect of the recovery process, here we tested the hypothesis that combined old-growth forest (OGF) and secondary forest (SF) dynamics should show autogenic regulation in state variables, and thus convergence towards OGF-based reference points, indicating forest resilience. We integrated dynamic data for OGF (11-year monitoring) and SF (16-year monitoring) to analyse three key state variables (basal area, tree density and species richness), their annual rates of change and their underlying demographic processes (recruitment, growth and mortality). We examined autogenic regulation through generalized linear mixed-effects models (GLMMs) to quantify functional relationships between rates of change of state variables (and underlying demographic processes) and their respective state variables. State variables in OGF decreased moderately over time, against our prediction of OGF constancy. In turn, the three state variables analysed showed negative relationships with their respective rates of change, which allows the return of SF to OGF values after disturbance. In all cases, recruitment decreased with increasing values in state variables, while mortality increased. The observed negative relationships between state variables, their rates of change and their underlying demographic processes support our hypothesis of integrated OGF and SF dynamics showing autogenic regulation for state variables. Competition seems to be a major driver of autogenic regulation given its dependence on a resource availability that declines as forest structure develops. Synthesis. Based on a straightforward and comprehensive approach to quantify the extent to which tropical forest dynamics is self-regulated, this study highlights the importance of autogenic regulation for tropical dry forest as a basic component of its resilience. This approach is potentially valuable for a generalized assessment of engineering resilience of forests world-wide.
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