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  • Fir forest demography using...
    Sánchez-Velásquez, Lázaro R.; Pineda-López, María del Rosario; Ibarra-Zavaleta, Sara P.; López-Serrano, Yitsendi

    Forest ecology and management, 02/2021, Letnik: 482
    Journal Article

    •Fir forest is a mono-specific forest and from late or climax successional state.•The most realistic scenarios suggest an imminent extinction of fir forests in study area.•The most important diameter size class that contributes to λ is >50 cm dbh followed for <10–20.•Matrices linked to climatic variation offer a useful tool to explore the growth of populations. The demographic traits associated to climatic variations are a useful tool for the study of the dynamics of plant populations under normal conditions, as well as in different scenarios and sequences of events, such as El Niño-Southern Oscillation. Six climatic scenarios (with and without the influence of El Niño precipitation anomaly events, among others) were built and tested. The question in this study was: What is the tendency of Abies religiosa populations in relation to different climatic events? Our hypothesis is that, under a normal frequency of climatic events, the population will decrease, and that it would increase if those events accompanied by more rain were to become more frequent. Between 2012 and 2016, three reproductive cycles of Abies religiosa were registered. With these data, transition, sensibility and variation matrices were built, and population growth rates (λ) and their confidence interval estimated. Also, simulations for population dynamics under different climatic scenarios were performed. Fir forests have an inverted J shape structure, i.e., they regenerate under their own canopy. The λ of the average matrix was 0.99, with 95% variation between 0.99 and 1.053. Most likely scenarios suggest the extinction of fir forests. Abies religiosa forms mono-specific masses and represents a late or climactic successional stage. For management and conservation purposes, the most important diameter size classes are >50 cm, followed by 10–20 cm. These are the classes that contribute the most to the λ, and the ones that present greater variation. Transition matrices associated to different simulated climatic events are a useful tool to anticipate possible impacts of climatic change on forest tree population demography.