8 research outputs found
Soil–Atmosphere Exchange of Nitrous Oxide, Nitric Oxide, Methane, and Carbon Dioxide in Logged and Undisturbed Forest in the Tapajos National Forest, Brazil
Selective logging is an extensive land use in the Brazilian Amazon region. The soil–atmosphere fluxes of nitrous oxide (N2O), nitric oxide (NO), methane (CH4), and carbon dioxide (CO2) are studied on two soil types (clay Oxisol and sandy loam Ultisol) over two years (2000–01) in both undisturbed forest and forest recently logged using reduced impact forest management in the Tapajos National Forest, near Santarem, Para, Brazil. In undisturbed forest, annual soil–atmosphere fluxes of N2O (mean ± standard error) were 7.9 ± 0.7 and 7.0 ± 0.6 ng N cm−2 h−1 for the Oxisol and 1.7 ± 0.1 and 1.6 ± 0.3 ng N cm−2 h−1 for the Ultisol for 2000 and 2001, respectively. The annual fluxes of NO from undisturbed forest soil in 2001 were 9.0 ± 2.8 ng N cm−2 h−1 for the Oxisol and 8.8 ± 5.0 ng N cm−2 h−1 for the Ultisol. Consumption of CH4 from the atmosphere dominated over production on undisturbed forest soils. Fluxes averaged −0.3 ± 0.2 and −0.1 ± 0.9 mg CH4 m−2 day−1 on the Oxisol and −1.0 ± 0.2 and −0.9 ± 0.3 mg CH4 m−2 day−1 on the Ultisol for years 2000 and 2001. For CO2 in 2001, the annual fluxes averaged 3.6 ± 0.4 μmol m−2 s−1 on the Oxisol and 4.9 ± 1.1 μmol m−2 s−1 on the Ultisol. We measured fluxes over one year each from two recently logged forests on the Oxisol in 2000 and on the Ultisol in 2001. Sampling in logged areas was stratified from greatest to least ground disturbance covering log decks, skid trails, tree-fall gaps, and forest matrix. Areas of strong soil compaction, especially the skid trails and logging decks, were prone to significantly greater emissions of N2O, NO, and especially CH4. In the case of CH4, estimated annual emissions from decks reached extremely high rates of 531 ± 419 and 98 ± 41 mg CH4 m−2 day−1, for Oxisol and Ultisol sites, respectively, comparable to wetland emissions in the region. We calculated excess fluxes from logged areas by subtraction of a background forest matrix or undisturbed forest flux and adjusted these fluxes for the proportional area of ground disturbance. Our calculations suggest that selective logging increases emissions of N2O and NO from 30% to 350% depending upon conditions. While undisturbed forest was a CH4 sink, logged forest tended to emit methane at moderate rates. Soil–atmosphere CO2 fluxes were only slightly affected by logging. The regional effects of logging cannot be simply extrapolated based upon one site. We studied sites where reduced impact harvest management was used while in typical conventional logging ground damage is twice as great. Even so, our results indicate that for N2O, NO, and CH4, logging disturbance may be as important for regional budgets of these gases as other extensive land-use changes in the Amazon such as the conversion of forest to cattle pasture
Anthropogenic disturbance in tropical forests can double biodiversity loss from deforestation
© 2016 Macmillan Publishers Limited. All rights reserved. Concerted political attention has focused on reducing deforestation, and this remains the cornerstone of most biodiversity conservation strategies. However, maintaining forest cover may not reduce anthropogenic forest disturbances, which are rarely considered in conservation programmes. These disturbances occur both within forests, including selective logging and wildfires, and at the landscape level, through edge, area and isolation effects. Until now, the combined effect of anthropogenic disturbance on the conservation value of remnant primary forests has remained unknown, making it impossible to assess the relative importance of forest disturbance and forest loss. Here we address these knowledge gaps using a large data set of plants, birds and dung beetles (1,538, 460 and 156 species, respectively) sampled in 36 catchments in the Brazilian state of Pará. Catchments retaining more than 69-80% forest cover lost more conservation value from disturbance than from forest loss. For example, a 20% loss of primary forest, the maximum level of deforestation allowed on Amazonian properties under Brazil's Forest Code, resulted in a 39-54% loss of conservation value: 96-171% more than expected without considering disturbance effects. We extrapolated the disturbance-mediated loss of conservation value throughout Pará, which covers 25% of the Brazilian Amazon. Although disturbed forests retained considerable conservation value compared with deforested areas, the toll of disturbance outside Pará's strictly protected areas is equivalent to the loss of 92,000-139,000 km2 of primary forest. Even this lowest estimate is greater than the area deforested across the entire Brazilian Amazon between 2006 and 2015 (ref. 10). Species distribution models showed that both landscape and within-forest disturbances contributed to biodiversity loss, with the greatest negative effects on species of high conservation and functional value. These results demonstrate an urgent need for policy interventions that go beyond the maintenance of forest cover to safeguard the hyper-diversity of tropical forest ecosystems
Mean and confidence interval of height change between initial and final lidar data acquisitions.
<p>Data collected at (a) Ducke Reserve and (b) Tapajos National Forest overlaid with the Brokaw (1982) and dynamic gap definitions’ height cutoffs, and the transition height where height change is not significantly different from zero based on Tukey’s HSD (horizontal segments at the base of the figure). Each horizontal line displaying Tukey’s HSD results spans initial height bins for which there is no significant difference (p-value > 0.05).</p
Distribution of canopy heights in 2008 airborne lidar acquisitions.
<p>Shown for (a) Ducke Reserve and (b) Tapajos National Forest.</p
Gap formation anomaly with distance from existing gaps.
<p>For each site, the average probability of gap formation between 2008 and 2012 was calculated and subtracted from the probability of gap formation based on distance from existing (2008) gaps. The resulting difference (Gap Formation Anomaly) was plotted against distance for (a) Ducke Reserve and (b) Tapajos National Forest.</p
Frequency of gap formation presented for both sites and gap definitions.
<p>The area covered by lidar at both time periods is reported with the proportion of initial gap area, proportion of final gap area, and the proportion of the amount of final gap area newly formed between samples for both the dynamic gap definition (10 m height cutoff) and the Brokaw (1982) gap definition (2 m height cutoff) for a minimum gap area of 10 m<sup>2</sup>. A Kolmogorov-Smirnov test was used to compare the distributions of gap sizes between years for each site by definition.</p><p>Frequency of gap formation presented for both sites and gap definitions.</p
Estimates of annual mortality based on field and lidar samples.
<p>Field based estimates were calculated for all trees as well as emergent trees (>40 m). Lidar-based estimates of annual mortality are for emergent trees only (>40 m). Columns indicate the number of dead trees (N<sub>m</sub>), total sample size (N), and the proportion of annual mortality between field or lidar sampling intervals. Fallen dead trees had heights <10 m in the 2011 survey.</p><p>Estimates of annual mortality based on field and lidar samples.</p