Local and Regional Effects of Land-Use Intensity on Aboveground Biomass and Tree Diversity in Tropical Montane Cloud Forests

Uscanga, Adriana; Bartlein, Patrick J.; Silva, Lucas C. R.

doi:10.1007/s10021-023-00861-1

Cited by 9 publications

(10 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%

“…This result indicates that these relationships are context-dependent [24], because the effect of the distance from the forest matters significantly in heavy machinery mining but not in suction pumping. This suggests that heavy machinery mining is severely impacting AGB resilience because the AGB accumulation may depend on stand forest age [76], land-use history [37], forest cover [30], soil properties [77,78], proportion of wind-dispersed species [79], and type and severity of disturbance [21,80]. In contrast, the small-scale disturbance caused by suction pumping mining and a relative short distance from a propagule source, in some sites of the study, promotes the establishment of species and increasing species diversity [41,81] and facilitating a faster AGB recovery [80,82] in areas recovering from suction pumping mining.…”

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

confidence: 99%

“…This suggests that heavy machinery mining is severely impacting AGB resilience because the AGB accumulation may depend on stand forest age [76], land-use history [37], forest cover [30], soil properties [77,78], proportion of wind-dispersed species [79], and type and severity of disturbance [21,80]. In contrast, the small-scale disturbance caused by suction pumping mining and a relative short distance from a propagule source, in some sites of the study, promotes the establishment of species and increasing species diversity [41,81] and facilitating a faster AGB recovery [80,82] in areas recovering from suction pumping mining. This supports our results in SEM calculations and could explain why the AGB is higher in suction pumping mining forest stands.…”

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

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%

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

confidence: 99%

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

confidence: 99%

See 1 more Smart Citation

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

View full text Add to dashboard Cite

show abstract

“…Hence, forest disturbance could be underestimated with a breakpoint analysis if forest degradation is more common than complete forest loss. Although agriculture seems to be the largest anthropogenic factor influencing the spatial patterns of forest structure and AGB in the NMO, timber extraction and grazing are widespread practices in the region that can cause forest degradation (CONAFOR, 2018; Uscanga et al, 2023). Accounting for forest degradation can be as important as detecting abrupt disturbances, which is one of the reasons to include gradual vegetation change variables to the analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Forests in secondary succession tend to have a higher number of trees, albeit smaller and thinner, than older forests (Guariguata & Ostertag, 2001). Undisturbed forests have fewer trees than secondary forests but hold greater amounts of biomass, especially in large trees (Cuni‐Sanchez et al, 2017; Uscanga et al, 2023). This explains why the difference in tree density between plots with and without breakpoints was not so marked and the linear mixed‐effects model of tree density resulted in a poorer fit in comparison with other forest structure variables.…”

Section: Discussionmentioning

confidence: 99%

Incorporating small‐scale disturbances in models of forest structure and aboveground biomass of tropical mountains

Uscanga,

Shuler,

Silva

2024

Ecosphere

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Several efforts have been made to model forest structure and estimate global aboveground biomass (AGB) magnitude and distribution. However, AGB models still show large uncertainties, especially over tropical mountains that are difficult to survey and understudied. Although forest disturbance and land use greatly influence forest structure and AGB accumulation, they are rarely considered in forest structure and AGB models. Including the effect of forest disturbance and land use could improve model performance. In this study, we used Landsat time series analysis and forest inventory data to assess and model the effect of small‐scale disturbance and land use on tropical montane forest structure and AGB. We explored two approaches: abrupt forest change detection, using the algorithm Breaks For Additive Seasonal Trend (BFAST), and gradual vegetation change by calculating the variation of remote sensing vegetation indices over time. We found that tropical montane landscapes are very dynamic and heterogenous. Out of the 284 forest plots analyzed, 27% had abrupt disturbances at least once between 1993 and 2014, and some of them showed abrupt disturbances several times. Forest plots with abrupt disturbances exhibit statistically significant lower basal area, tree height, and AGB than plots without abrupt disturbances. Using linear mixed‐effects models, we found that the number of breakpoints, annual Normalized Difference Vegetation Index SD, and Normalized Difference Water Index minimum values over time were the most informative variables for predicting forest structure, particularly basal area (adjusted R2 = 0.61). These variables are easy to calculate and could add significant power to forest structure and AGB models. In conclusion, incorporating small‐scale disturbance to model forest structure and AGB at regional scales is feasible through the identification of recent abrupt and gradual forest change using remote sensing time series. Including recent forest disturbance variables as predictors in forest structure models can greatly improve biomass predictability and mapping in dynamic landscapes.

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Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes

Traoré,

Zo-Bi,

Piponiot

et al. 2024

Trees, Forests and People

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Local and Regional Effects of Land-Use Intensity on Aboveground Biomass and Tree Diversity in Tropical Montane Cloud Forests

Cited by 9 publications

References 95 publications

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

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

Incorporating small‐scale disturbances in models of forest structure and aboveground biomass of tropical mountains

Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes

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