Demographic Drivers of Aboveground Biomass Dynamics During Secondary Succession in Neotropical Dry and Wet Forests
By: Rozendaal D.M.A., Chazdon R.L., Arreola-Villa F., Balvanera P., Bentos T.V., Dupuy J.M., Hernández-Stefanoni J.L., Jakovac C.C., Lebrija-Trejos E.E., Lohbeck M., Martínez-Ramos M., Massoca P.E.S., Meave J.A., Mesquita R.C.G., Mora F., Pérez-García E.A., Romero-Pérez I.E., Saenz-Pedroza I., van Breugel M., Williamson G.B., Bongers F.
Published in: Ecosystems
SDGs : SDG 13 | Units: | Time: 2017 | Link
Description: The magnitude of the carbon sink in second-growth forests is expected to vary with successional biomass dynamics resulti ng from tree growth, recruitment, and mortality, and with the effects of climate on these dynamics. We compare aboveground biomass dynamics of dry and wet Neotropical forests, based on monitoring data gathered over 3–16 years in forests covering the first 25 years of succession. We estimated standing biomass, annual biomass change, and contributions of tree growth, recruitment, and mortality. We also evaluated tree species’ contributions to biomass dynamics. Absolute rates of biomass change were lower in dry forests, 2.3 and 1.9 Mg ha−1 y−1, after 5–15 and 15–25 years after abandonment, respectively, than in wet forests, with 4.7 and 6.1 Mg ha−1 y−1, in the same age classes. Biomass change was largely driven by tree growth, accounting for at least 48% of biomass change across forest types and age classes. Mortality also contributed strongly to biomass change in wet forests of 5–15 years, whereas its contribution became important later in succession in dry forests. Biomass dynamics tended to be dominated by fewer species in early-successional dry than wet forests, but dominance was strong in both forest types. Overall, our results indicate that biomass dynamics during succession are faster in Neotropical wet than dry forests, with high tree mortality earlier in succession in the wet forests. Long-term monitoring of second-growth tropical forest plots is crucial for improving estimates of annual biomass change, and for enhancing understanding of the underlying mechanisms and demographic drivers. © 2016, Springer Science+Business Media New York.