Factors influencing early secondary succession and ecosystem carbon stocks in Brazilian Atlantic Forest

Robinson, Samuel; Berg, Eduardo van den; Meirelles, Gabriela S.; Ostle, Nicholas J.

doi:10.1007/s10531-015-0982-9

Cited by 46 publications

(40 citation statements)

References 82 publications

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“…In southern seasonally dry tropical Atlantic forest, regeneration is also slow and potentially arrested by shrub species (Robinson et al . ). In subtropical Atlantic forest, at its most southern extent, there appear to be moderate rates of regeneration with 26‐ to 45‐yr‐old forest attaining roughly 65 percent of mature forest basal area (Zanini et al .…”

Section: Discussionmentioning

confidence: 97%

“…In southern tropical Atlantic forest with mean annual precipitation over 2000 mm/yr, basal area recovery is slower (biomass estimates are not available) and takes closer to 35 or 50 yr to attain mature levels of biomass (Marques et al 2014, Martins et al 2015. In southern seasonally dry tropical Atlantic forest, regeneration is also slow and potentially arrested by shrub species (Robinson et al 2015). In subtropical Atlantic forest, at its most southern extent, there appear to be moderate rates of regeneration with 26-to 45-yr-old forest attaining roughly 65 percent of mature forest basal area (Zanini et al 2014).…”

Section: Discussionmentioning

confidence: 99%

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Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest

et al. 2018

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Secondary forests account for more than half of tropical forests and represent a growing carbon sink, but rates of biomass accumulation vary by a factor of two or more even among plots in the same landscape. To better understand the drivers of this variability, we used airborne lidar to measure forest canopy height and estimate biomass over 4529 ha at Serra do Conduru Park in Southern Bahia, Brazil. We measured trees in 30 georeferenced field plots (0.25‐ha each) to estimate biomass using allometry. Then we estimated aboveground biomass density (ABD) across the lidar study area using a statistical model developed from our field plots. This model related the 95th percentile of the distribution of lidar return heights to ABD. We overlaid this map of ABD on a Landsat‐derived forest age map to determine rates of biomass accumulation. We found rapid initial biomass regeneration (~6 Mg/ha yr), which slowed as forests aged. We also observed high variability in both height and biomass across the landscape within forests of similar age. Nevertheless, a regression model that accounted for spatial autocorrelation and included forest age, slope, and distance to roads or open areas explained 62 and 77 percent of the landscape variation in ABD and canopy height, respectively. Thus, while there is high spatial heterogeneity in forest recovery, and the drivers of this heterogeneity warrant further investigation, we suggest that a relatively simple set of predictor variables is sufficient to explain the majority of variance in both height and ABD in this landscape.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 99%

Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest

et al. 2018

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“…Ecological aspects, including functional ecology, regeneration, and succession, are covered by De Paula et al (2015), Rezende et al (2015b), and Robinson et al (2015). The first authors investigated functional traits in inselbergs, isolated granite and gneiss rocks that rise sharply above the level of the Lowland Surrounding Forests.…”

Section: Synopsismentioning

confidence: 99%

“…Consequently, spontaneous natural regeneration should be accounted for and incorporated into plans for restoration in the Atlantic Forest. With respect to ecological succession, Robinson et al (2015) provides evidence that recovery of secondary forest and below and above ground carbon storage is limited by the amount of adjacent forest, some soil properties, and with dense shrub establishment downregulating the succession process. Perhaps more importantly, the potential to improve the recovery of damaged Atlantic forest through ecologically relevant seeding/planting programmes and selective shrub removal could benefit carbon storage in the ecosystem.…”

Section: Synopsismentioning

confidence: 99%

The Brazilian Atlantic Forest: new findings, challenges and prospects in a shrinking hotspot

2015

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“…The Nsp increase from 1985 to 2015 in Mato Grosso resulted from the typical fragmentation process, reducing the average area of fragments during the temporal scales, presenting an increment of subdivision and less connection between them 39 . The smaller fragments represent a crucial role in reducing the isolation of larger fragments 40 .…”

Section: Discussionmentioning

confidence: 99%

Geotechnology in the analysis of forest fragments in northern Mato Grosso, Brazil

Barbosa

Spletozer

Roque

et al. 2018

Sci Rep

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Pasture implantation fragments and reduces the Amazonian forest area. The objective was to quantify landscape changes in 1985, 2000 and 2015 in northern Mato Grosso, Brazil. The study was carried out in three scenes obtained by the LANDSAT satellite of a microbasin (2742.33 ha) in the municipality of Alta Floresta. Forest, water bodies, pasture and exposed soil were the thematic classes determined to e mapping the land use evolution. The edge, density and shape indexes of the fragments were measured. Normalized vegetation difference (NDVI) values were high in 1985. Land use and occupation over 15 years (1985–2000) reduced forest cover by 69.8%, but it increased by 1.7% over the next 15 years (2000–2015). The number of exposed soil patches increased between the periods, but the total area and number of the patches of the forest fragments decreased. The high values of NDVI in 1985 showed vegetated areas with high density. Reducing forest cover decreases the size of the fragments, increases the isolation and the number of soil patches exposed. The mapping of land use showed a reduction of the Amazon forest in the microbasin in the north of Mato Grosso, in the years 2000 and 2015 compared to 1985.

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Factors influencing early secondary succession and ecosystem carbon stocks in Brazilian Atlantic Forest

Cited by 46 publications

References 82 publications

Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest

Landscape‐scale lidar analysis of aboveground biomass distribution in secondary Brazilian Atlantic Forest

The Brazilian Atlantic Forest: new findings, challenges and prospects in a shrinking hotspot

Geotechnology in the analysis of forest fragments in northern Mato Grosso, Brazil

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