2016
DOI: 10.1038/nature16512
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Biomass resilience of Neotropical secondary forests

Abstract: Land-use change occurs nowhere more rapidly than in the tropics, where the imbalance between deforestation and forest regrowth has large consequences for the global carbon cycle. However, considerable uncertainty remains about the rate of biomass recovery in secondary forests, and how these rates are influenced by climate, landscape, and prior land use. Here we analyse aboveground biomass recovery during secondary succession in 45 forest sites and about 1,500 forest plots covering the major environmental gradi… Show more

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Cited by 875 publications
(1,010 citation statements)
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References 61 publications
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“…The AGB and carbon stock mapping estimates for a mid-successional stage secondary forest in the test area (ca. 6-51 Mg¨ha´1) were within the range reported by other studies of secondary forests in the Neotropics (e.g., [74]). We identified significant analytical relationships between vegetation indices extracted from multiple Geoeye-1 and Pleiades-1A VHR imagery and AGB values estimated using field measurements and allometric equations.…”
Section: Discussionsupporting
confidence: 88%
“…The AGB and carbon stock mapping estimates for a mid-successional stage secondary forest in the test area (ca. 6-51 Mg¨ha´1) were within the range reported by other studies of secondary forests in the Neotropics (e.g., [74]). We identified significant analytical relationships between vegetation indices extracted from multiple Geoeye-1 and Pleiades-1A VHR imagery and AGB values estimated using field measurements and allometric equations.…”
Section: Discussionsupporting
confidence: 88%
“…The uncertainty of bookkeeping models partly arises from data used to define response curves (usually from local data) and their representativeness for application to large regions. Here, we compare biomass recovery curves derived from a recent synthesis of secondary forest plots in Latin America by Poorter et al (2016) with the curves used previously in bookkeeping models from Houghton (1999) and Hansis et al (2015). We find that the two latter models overestimate the long-term (100 years) vegetation carbon density of secondary forest by about 25 %.…”
mentioning
confidence: 88%
“…Even though carbon densities have a high spatial variability in the real world, the same response curve measured at one location is often applied in bookkeeping models over large regions. A recent study of the biomass resilience of secondary forests in the neotropics provides new biomass recovery curves from 45 secondary forest sites (Poorter et al, 2016). These new data are valuable to revisit the response curves for the regrowth of secondary forest in the Amazon area, an important region with a large E LULCC .…”
Section: Introductionmentioning
confidence: 99%
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“…Sin embargo, todavía es poco conocida la relación existente de estos procesos ecosistémicos con la biodiversidad y sobre todo, su repercusión en el funcionamiento de los ecosistemas de acuerdo a los predictores biofísicos de cada localidad. Poorter et al (2016) demostraron que los bosques secundarios neotropicales, incluyendo los de la Amazonía, difieren drásticamente en su capacidad de recuperación de biomasa (promedio de 66 años para recuperar 90 % de la biomasa aérea), principalmente impulsado por la variación en la disponibilidad de agua, debido a que las altas precipitaciones y el bajo déficit hídrico, permiten extender la temporada de crecimiento e incrementar la producción de biomasa. Así mismo, explican que la fertilidad de suelos tiene un efecto positivo significativo en la recuperación relativa de biomasa, pero ningún efecto sobre la recuperación absoluta debido a que las grandes diferencias con el macroclima pueden anular efectos más sutiles de la fertilidad del suelo.…”
Section: Predictores Biofísicosunclassified