Stand structural diversity and elevation rather than functional diversity drive aboveground biomass in historically disturbed semiarid oak forests

Su, Lei; Heydari, Mehdi; Omidipour, Reza; Soheili, Forough; Cheraghi, Javad; Villa, Pedro Manuel; Prévosto, Bernard

doi:10.1016/j.foreco.2023.121139

Cited by 5 publications

(4 citation statements)

References 95 publications

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“…This supports our results in SEM calculations and could explain why the AGB is higher in suction pumping mining forest stands. The positive relationship between AGB and tree species diversity found in suction pumping mining forest stands of the present study was reported by other studies in secondary forests [60,83,84] and old-growth forests [24,58,76,80,85]. Because of forest woody productivity, it is usually positively associated with tree species diversity [85].…”

Section: Effects Of Mining Type Stand Age and Distance From The Fores...supporting

confidence: 88%

“…Aboveground biomass (AGB) was calculated, for all trees present in the plots, using the generic pan-tropical allometric biomass equation developed by Chave et al [58] (Equation (1)):…”

Section: Aboveground Biomass (Agb)mentioning

confidence: 99%

“…Forest structure was analyzed by structural indices [58]; we calculated in each plot: (a) the mean of the DBH of all woody species, and (2) the mean of the height of all woody species. In addition, to examine the horizontal structure of the communities [61] we calculated the importance value index (IVI) of each species according to five recovery age classes of natural regeneration and reference forest.…”

Section: Stand Structure and Alpha And Beta-diversity Calculationsmentioning

confidence: 99%

“…The slower recovery of forest structure generates a slow recovery of AGB in heavy machinery forest stands, because height and tree diameter variation are positively and strongly related to AGB [83]. This can be explained by the presence of low-diameter trees and a lower space optimization by co-occurring tree species in the canopy layer in heavy machinery forest, which impact negatively on biomass accumulation [58,83,91].…”

Section: Recovery Of Agb Tree Diversity and Forest Structurementioning

confidence: 99%

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Resilience of Aboveground Biomass of Secondary Forests Following the Abandonment of Gold Mining Activity in the Southeastern Peruvian Amazon

Garate-Quispe,

Herrera-Machaca,

Pareja Auquipata

et al. 2024

Diversity

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Amazon rainforests are critical for providing a wide range of ecosystem services. In the Southeastern Peruvian Amazon; however, goldmining activities are causing severe soil degradation and forest loss. We analyzed aboveground biomass (AGB), forest structure, and species diversity recovery during secondary succession in 179 forest plots. Our study provides the first field-based quantification of AGB recovery following the abandonment by two types of goldmining (heavy machinery and suction pumping) in Madre de Dios (Peru). We found that successional secondary forests in areas subjected to suction pumping were more resilient than those in areas subjected to heavy machinery. After 20 years, mean AGB in suction pumping mining areas had reached 56% of reference forest AGB, while in areas of heavy machinery mining it was only 18%. Mining type, stand age, and distance from the forest edge had a significant effect on AGB. The influence of the distance from the forest edge on AGB varies according to mining type because the effects of species diversity on AGB are mediated by the distance from the forest edge. Our results clearly showed the dynamics of AGB recovery across a secondary succession after goldmining, and the contrasting responses of AGB between the two mining types. Our study disentangles the importance of key factors in forest recovery after mining and improves understanding of the resilience of biomass accumulation in these highly degraded ecosystems.

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Section: Effects Of Mining Type Stand Age and Distance From The Fores...supporting

confidence: 88%

“…Aboveground biomass (AGB) was calculated, for all trees present in the plots, using the generic pan-tropical allometric biomass equation developed by Chave et al [58] (Equation (1)):…”

Section: Aboveground Biomass (Agb)mentioning

confidence: 99%