Journal topic
Biogeosciences, 15, 447–455, 2018
https://doi.org/10.5194/bg-15-447-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
Biogeosciences, 15, 447–455, 2018
https://doi.org/10.5194/bg-15-447-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Jan 2018

Research article | 22 Jan 2018

# Historic carbon burial spike in an Amazon floodplain lake linked to riparian deforestation near Santarém, Brazil

Historic carbon burial spike in an Amazon floodplain lake linked to riparian deforestation near Santarém, Brazil
Luciana M. Sanders1, Kathryn Taffs1, Debra Stokes2, Christian J. Sanders3, Alex Enrich-Prast4,5, Leonardo Amora-Nogueira6,7, and Humberto Marotta6,7 Luciana M. Sanders et al.
• 1School of Environment, Science and Engineering, Southern Cross University, Lismore, New South Wales, Australia
• 2Marine Ecology Research Centre, Southern Cross University, P.O. Box 157, Lismore, NSW 2480, Australia
• 3National Marine Science Centre, School of Environment, Science and Engineering, Southern Cross University, Coffs Harbour, New South Wales, Australia
• 4Departamento de Botanica, Universidade Federal do Rio de Janeiro (UFRJ), Rio d Janeiro (RJ), 21941-971, Brazil
• 5Department of Environmental Change, Linköping University, 581 83, Linköping, Sweden
• 6Ecosystems and Global Change Laboratory (LEMG-UFF)/International Laboratory of Global Change (LINCGlobal), Biomass and Water Management Research Center (NAB-UFF), Graduated Program in Geosciences (Environmental Geochemistry), Universidade Federal Fluminense (UFF), Av. Edmundo March, s/n – 24210-310, Niteroi/RJ, Brazil
• 7Sedimentary and Environmental Processes Laboratory (LAPSA-UFF), Department of Geography, Graduated Program in Geography, Universidade Federal Fluminense (UFF), Av. Gal. Milton Tavares de Souza, s/n – 24210-346, Niteroi/RJ, Brazil

Correspondence: Luciana M. Sanders (l.sanders.13@student.scu.edu.au)

Abstract
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Forests along the Amazon Basin produce significant quantities of organic material, a portion of which is deposited in floodplain lakes. Deforestation in the watershed may then have potentially important effects on the carbon fluxes. In this study, a sediment core was extracted from an Amazon floodplain lake to examine the relationship between carbon burial and changing land cover and land use. Historical records from the 1930s and satellite data from the 1970s were used to calculate deforestation rates between 1930 to 1970 and 1970 to 2010 in four zones with different distances from the margins of the lake and its tributaries (100, 500, 1000 and 6000 m buffers). A sediment accumulation rate of ∼4mm yr−1 for the previous ∼120 years was determined from the 240+239Pu signatures and the excess 210Pb method. The carbon burial rates ranged between 85 and 298 $\mathrm{g}\phantom{\rule{0.125em}{0ex}}\mathrm{C}\phantom{\rule{0.125em}{0ex}}{\mathrm{m}}^{-\mathrm{2}}\phantom{\rule{0.125em}{0ex}}{\mathrm{yr}}^{-\mathrm{1}}$, with pulses of high carbon burial in the 1950s, originating from the forest vegetation as indicated by δ13C and δ15N signatures. Our results revealed a potentially important spatial dependence of the organic carbon (OC) burial in Amazon lacustrine sediments in relation to deforestation rates in the catchment. These deforestation rates were more intense in the riparian vegetation (100 m buffer) during the period 1930 to 1970 and the larger open water areas (500, 1000 and 6000 m buffer) during 1970 to 2010. The continued removal of vegetation from the interior of the forest was not related to the peak of OC burial in the lake, but only the riparian deforestation which peaked during the 1950s. Therefore, this supports the conservation priority of riparian forests as an important management practice for Amazon flooded areas. Our findings suggest the importance of abrupt and temporary events in which some of the biomass released by deforestation, especially restricted to areas along open water edges, might reach the depositional environments in the floodplain of the Amazon Basin.

1 Introduction
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Figure 1Jupindá Lake where the sediment core was extracted, near the Amazon River and the city of Santarém, Brazil. This floodplain lake has a diameter of approximately 3 km.

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Rivers act as vectors, transporting sediment from land to ocean (Cole et al., 2007). Along this trajectory a significant proportion of the sediment load, including organic material, may be deposited in floodplains, creating zones of carbon accumulation (Smith et al., 2002; Dong et al., 2012; Hoffmann et al., 2013). This process is accelerated during flood events, when rivers and tributaries deposit organic material along the inundated floodplains (Smith et al., 2002). In some climate zones, floodplains are seasonally inundated, with riparian zone vegetation dependent upon this seasonal influx of organic material. The riparian vegetation slows water velocity and traps fine-grained, carbon-rich sediments within this low-energy environment (Aalto et al., 2003). Therefore, the riparian vegetation along the floodplains may be important for the organic matter deposition and the Amazon carbon cycle.

The importance of tropical wetland ecosystems in the carbon cycle is well-documented (Downing et al., 1993; Melack et al., 2004; Zocatelli et al., 2013; Abril et al., 2014; Marotta et al., 2014). It has been shown that wetlands in the warm tropics are some of the most productive biological communities in the world (Neue et al., 1997), representing an important sink for nutrients (Marotta et al., 2009) and carbon (Peixoto et al., 2016; Sanders et al., 2017) as well as sources of organic substrates for carbon gas production in inland waters (Marotta et al., 2010). However, these wetland ecosystems are also highly threatened by land use activities, especially from deforestation, development of agricultural land and soil degradation (Junk, 2013; Lucas et al., 2014).

The Amazon Basin wetlands are being degraded by farming activities such as commercial ranching and an increase in road density (Goulding, 1993). Deforestation of the Amazon Basin commenced around ∼1930 and accelerated towards the end of the 1970s (Skole and Tucker, 1993), when an estimated 15 % of the pristine rainforest area was lost by the year 2003, increasing to approximately 18 % by 2015 (INPE, 2016). The ongoing loss of vegetation is responsible for a substantial increase in erosion rates and subsequent sediment inputs into Amazon rivers and lakes (Neill et al., 2013b). Yet these anthropogenic activities are potential sources of allochthonous organic matter that may increase carbon stores in the associated floodplain areas (Diaz and Rosenberg, 2008; Stanley et al., 2012).

Jupindá Lake, in the state of Pará, provides an ideal opportunity to investigate historical changes in organic carbon (OC) burial in a floodplain lake as a result of the well-documented anthropogenic activities within its watershed. This will aid in identifying the little-known impacts of land cover changes on recent carbon burial rates in depositional environments of the Amazon floodplain. The objectives of this research are to investigate the effects of deforestation and urban development on carbon burial rates in a tropical floodplain lake. We hypothesize that the historical deforestation in this region of the Amazon may have influenced the OC burial rates in the studied floodplain lake.

2 Methods
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The city of Santarém, in the center of the Amazon forest, was established in the mid-eighteenth century, approximately 650 km upstream from the Amazon River mouth and at its confluence with the Tapajós River (02250.28${}^{\prime \prime }$ S, 544241.57${}^{\prime \prime }$ W; Fig. 1). In 1940, Santarém was only a small village, less than 0.5 km2, surrounded by dense pristine rainforest (estimated from the historical mapping of the Santarém City Hall). This city quickly expanded, occupying 5.2 km2 by the end of the 1970s and 49.3 km2 currently (estimated from satellite images LANDSAT/SRTM). Jupindá Lake is 70 km east of Santarém city, and receives surface water inflow from small streams draining from the forest and the main tributary Curuá-Una River, a large affluent of the Amazon River (Fig. 1). The lake has been affected by the deforestation associated with the expansion of Santarém city. Between the 1940s and 1950s there was intense deforestation on the margins of rivers and streams in this area, used to supply the markets with wood and forestry products (Amorim, 2000; Cruz et al., 2011). In the 1970s, the Curuá-Una River was dammed (Curuá-Una Dam) 45 km upstream of Jupindá Lake to build the first hydroelectric plant of the Amazon rainforest (Ligocki, 2003).

A 60 cm sediment core (diameter 7.5 cm) was collected in 2010 using a gravity corer in the center of Jupindá Lake (022743.60${}^{\prime \prime }$ S, 5451.30${}^{\prime \prime }$ W). The sediment core was sub sampled at 2 cm intervals. Dry bulk density (DBD, g cm−3) was determined as the dry sediment weight (g) divided by the initial volume (cm3). A homogenized portion was acidified (10 % HCl following the procedures outlined in Naidu et al., 2000) to remove carbonate material, then dried and ground to powder for OC, nitrogen (N), δ13C and δ15N analyses using a flash elemental analyzer coupled to a Thermo Fisher Delta V IRMS (isotope ratio mass spectrometer). The δ15N results and the C ∕ N ratio results should be interpreted with caution, based on this pre-treatment method, which may be influenced by the composition of the bulk organic matter (Brodie et al., 2011). Working standards were used (glucose, 10.7 ppt and urea, 41.3 ppt) to calibrate for δ13C. A pair of standards was measured with every 20 samples. These standards were calibrated initially against international absolute standards LSVEC and NIST8542. Analytical precision: C =0.1 %, N =0.1 %, δ13C =0.1 ‰ and δ15N =0.15 ‰.

Figure 2Different buffer sizes (100, 500, 1000 and 6000 m) along the stretch of the Curuá-Una River from Jupindá Lake (red) to the hydroelectric dam upstream (yellow).

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Samples were prepared for Pu dating following the method of Ketterer et al. (2004) with modifications to enable larger sample mass to be processed as a result of the likely lower Pu concentrations in the Southern Hemisphere (Sanders et al., 2016). To obtain a larger mass, sediment intervals were joined and homogenized so the sediment intervals for the 240+239Pu dating was 4 cm intervals. Sample aliquots ranging from 14 to 29 g were dry-ashed at 600 C for 16 h, and leached with 50 mL of 16 M HNO3. The leaching was conducted overnight at 80 C with added 242Pu yield tracer (NIST 4334g, 19 picograms). Acid leaching (as opposed to complete dissolution with HF) is known to solubilize stratospheric fallout Pu, and there is little possibility that “refractory” HNO3-insoluble Pu exists in South America (Sanders et al., 2014). The leachates were diluted to 100 mL, filtered to remove solids and the aqueous solutions were processed with TEVA® Resin (EIChrom, Lisle, IL, USA) in order to chemically isolate 3.0 mL Pu fractions in aqueous ammonium oxalate solution suitable for measurements by sector ICPMS (inductively coupled plasma mass spectrometry). Pu determinations were performed using a VG Axiom MC operating in the single collector (electron multiplier) mode. The system was used with an APEX HF desolvating micronebulizer system (ESI Scientific, Omaha, NE, USA) with an uptake rate of 0.4 mL min−1. Qualitative mass spectral scans were collected for selected samples prior to the electrostatic sector quantitative scanning of 238U, 239Pu, 240Pu and 242Pu. Detection limits were evaluated based on the analysis of two blanks and considerations regarding the obtained mass spectra. A detection limit of 0.01 Bq kg−1 of 239+240Pu is applicable for samples of nominal 25 g mass.

For 210Pb dating, an intrinsic germanium detector coupled to a multi-channel analyzer was used. Freeze dried and ground sediments were packed and sealed in gamma tubes. Lead-210 and 226Ra activities were calculated by multiplying the counts per minute by a factor that includes the gamma-ray intensity and detector efficiency determined from standard calibrations. Identical geometry was used for all samples. Lead-210 activities were determined by the direct measurement of the 46.5 KeV gamma peak. Radium-226 activity was determined via the 214Pb daughter at 351.9 KeV. For 226Ra measurements, the packed samples were set aside for at least 21 days to allow for 222Rn to ingrow and establish secular equilibrium between 226Ra and its granddaughter 214Pb. Excess 210Pb activity was calculated by subtracting the supported 210Pb (i.e., 226Ra activity) from the total 210Pb activity. The sediment accretion rate for the previous 120 years was estimated by two methods derived from 210Pb dating: the Constant Initial Concentration (CIC) model assuming that this rate has not varied during the encompassed time span (Appleby and Oldfield, 1992) and the Constant Rate of Supply (CRS) model based on a constant influx of unsupported, atmospheric 210Pb that allows a variable sediment rate (Ivanovich and Harmon, 1992). OC accumulation rates were estimated from an average between these two dating methods (239+240Pu and 210Pbex), the DBD (g cm3) and carbon content for each interval of the entire sediment core.

Figure 3239+240Pu profile, indicating that ∼1950 is when these radionuclides were first introduced into the atmosphere.

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Figure 4Lead-210 (black circles) and 226Ra (white circles) profiles against depth. Grey squares represent the 210Pb(ex) profile vs. cumulative dry mass.

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Table 1Satellite acquisition data from the United States Geological Survey (USGS) and the Curuá-Una River quota from the Brazilian Water Agency (ANA).

The land use and land cover analysis was based on documented historical information before 1975 and satellite images (Landsat/SRTM, Table 1) from 1975, 1985, 1995 and 2008 available from the United States Geological Survey (USGS). No significant deforestation occurred in the catchment area of the Jupindá Lake until the early 1940s (Amorim, 2000; Cruz et al., 2011). Subsequent land use changes were determined using satellite images (Gordon, 1980; Munyati, 2000). All satellite images were from low-water seasons to remove the influence of the flood pulse on the exposed area over years. The resolution of the images was 30 m, except those from the 1970s, which were resampled from 90 to 30 m (Table 1). This approach allowed an assessment of changes in land cover to be compared to results from carbon accumulation. Results of the spatial assessment were separated into two time periods: 1930 to 1970, the time frame between the onset of land clearing and the first satellite image; and 1970 to 2010, which provides a more detailed assessment of temporal changes in the study area. The time period 1930 to 1970 was characterized by a rapid removal (peak until the 1960s) of vegetation established at the margins of inland waters: especially Aniba rosaeodora (Pau-rosa) for extraction of oils, Mezilaurus itauba and Cedrela fissilis (Louro-itaúba and Cedro, respectively) as hardwoods, and the opening of clearings for crops of textile fibers and subsistence products. Intensification of deforestation towards the interior of the forest and following the urban growth of Santarém is reported from the 1970s (Amorim, 2000; Cruz et al., 2011). The depletion of vegetation near to the margins of lakes and running waters in this region is also well documented (Amorim, 2000; Cruz et al., 2011).

Figure 5δ13C vs. δ15N. The Amazon River POC and Santarém soil organic matter values, adjacent to the study area, are taken from Zocatelli et al. (2013).

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Figure 6Carbon burial as a function of δ13C and δ15N.

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In order to address the spatial dependence of recent OC burial in Jupindá Lake on deforestation, we analyzed the land cover and land use in four buffer areas around the lake and contributing rivers or streams. The first buffer of 100 m represented the riparian forest area protected by the Brazilian laws for fluvial channels with a width of 50 to 200 m. Other buffers were progressively wider, with a width of 500, 1000 and 6000 m from the riverbank and lake margins (Fig. 2). In addition, we considered only stretches of rivers and streams 65 km long from Jupindá Lake to analyze its catchment area of a more direct influence. This criteria also avoids the interference of the artificial flooding on the margins of the Curuá-Una hydroelectric dam, which was built in 1977 (Fearnside, 2005).

The statistical treatment of variables and OC burial rates, when grouped into different phases, showed assumptions which required parametric analyses, including normal distribution (Kolmogorov–Smirnov, p>0.05) and homogeneity of variance (Bartlett, p>0.05). Thus, we used means and standard errors to represent the distribution of values, and parametric tests were conducted allowing comparison of different phases. Statistical differences were tested using the one-way ANOVA test followed by Tukey's post test (significance was defined as p<0.05). All the statistical tests used in this work were performed using GraphPad Prism 5.0 software.

3 Results
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The analyses of 239+240Pu showed no detectable activities from the base of the sediment core until the 22–26 cm interval (Fig. 3). However, 239+240Pu was detected in the 18–22 cm interval (0.029±0.002Bq kg−1 239+240Pu) with the peak concentration (0.047±0.004Bq kg−1 239+240Pu) at the 16 cm depth, which indicates the 1963 stratospheric fallout peak. Hence material below 22 cm was deposited pre-bomb (that is, prior to the early 1950s). This fixes an upper limit on the average sedimentation rate of near to 3.8 mm yr−1. The Pu atom ratio data indicate that Pu is originating from stratospheric fallout with isotopic ratios (240 ∕ 239Pu) of ∼0.18. These results are consistent with the 240Pu ∕ 239Pu of 0.180±0.014 discussed by Kelley et al. (1999).

Figure 7δ13C, δ15N and carbon burial rate values in relation to depth (cm). Panels below each vertical profile represent respective data grouped by the three general phases <1930, 1930–1970 and 1970–2010. Filled square symbols represent means of a given variable in each sediment layer, and the vertical bars show the mean with the SD of the respective phase. Equal letters in each panel represent non-significant differences (p>0.05, one-way ANOVA followed by Tukey's post test).

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Figure 8Percentage of modified areas in relation to the different buffers (a). Carbon burial (black dots) and changes in the riparian vegetation (the two grey bars represent the two general phases) as related to time (b).

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The 210Pb and 226Ra profiles as well as the 210Pb(ex) profile vs. cumulative dry mass accumulation reveals a complex depositional environment with sedimentation variations and disturbances, such as bioturbation and resuspension in the upper ∼20cm of the sediment column (Fig. 4). A decrease in 210Pbex activity was found below the 20 cm depth interval. The 210Pbex data distribution are as follows: $y=-\mathrm{0.0749}x+\mathrm{7.5}$; R2=0.73; n=19; p<0.01 from the 20 to the 60 cm interval, below the apparent mixed zone. Both estimates of sediment accretion rate during the 120 years from the CIC and CRS models were similar, reaching 4.1 and 4.3 mm yr−1, respectively, which were slightly higher than the ∼60 year 239+240Pu dates (3.8 mm yr−1). In order to obtain more reliable estimates of the historical carbon burial rates, the 239+240Pu results from around 1950 to present were used (3.8 mm yr−1) and 210Pbex (4.2 mm yr−1) was used from ∼1890 to approximately the 1950s. These rates for each sediment depth were multiplied by the DBD and OC content for each interval of the entire sediment core.

Table 2Depth profiles of dry bulk density (DBD), total organic carbon (TOC in %), total nitrogen (TN in %), carbon and nitrogen (C ∕ N) molar ratios, δ13C and δ15N.

The DBD, total organic carbon (TOC in %), total nitrogen (TN in %) content as well as the carbon and nitrogen (C ∕ N) molar ratios along with the δ13C and δ15N values showed a decreasing shift towards the center of the sediment core (Table 2). The relationship between δ13C and δ15N indicated different origins of OC in the sediment core (Fig. 5) contributing to the significant relationship between OC burial and δ13C (Fig. 6). The significantly greater δ13C peak and lower δ15N values coupled to higher OC burial rates were observed in the phase between ∼1930 and 1970 in Jupindá Lake (one-way ANOVA followed by Tukey's post test, p<0.05; Fig. 7). The δ13C values were greater in the phase between ∼1930 to 1970 in relation to those previous and after, respectively (one-way ANOVA followed by Tukey's post test, p<0.05). This peak around 1950 also showed δ15N values lower and OC burial rates higher than other phases (one-way ANOVA followed by Tukey's post test, p<0.05).

The OC burial rates indicate an increasing trend from ∼1930 with a peak during the 1940s and 1950s (Fig. 7). The carbon burial rates increased from ∼186$\mathrm{g}\phantom{\rule{0.125em}{0ex}}{\mathrm{m}}^{-\mathrm{2}}\phantom{\rule{0.125em}{0ex}}{\mathrm{yr}}^{-\mathrm{1}}$ before the 1950s up to 298 $\mathrm{g}\phantom{\rule{0.125em}{0ex}}{\mathrm{m}}^{-\mathrm{2}}\phantom{\rule{0.125em}{0ex}}{\mathrm{yr}}^{-\mathrm{1}}$ between the 1940s and 1950s. Carbon accumulation then decreased to approximately 186 $\mathrm{g}\phantom{\rule{0.125em}{0ex}}{\mathrm{m}}^{-\mathrm{2}}\phantom{\rule{0.125em}{0ex}}{\mathrm{yr}}^{-\mathrm{1}}$ from 1960 to 1980, after which a gradual decline in carbon burial is noted. In relation to land use and cover in the surrounding fluvial channels and the Jupindá Lake, only the smallest buffer (100 m) showed significant changes during 1930–1970. This time period is when deforestation was nearly 75 % higher than in the subsequent time period 1970–2010 (Fig. 8a) and when OC burial was greatest (Fig. 8b).

4 Discussion
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Similar estimates of sediment accretion were calculated using different methodologies (239+240Pu and 210Pb(ex)). These accretion rates along with the DBD revealed an insight into changes in the sediment sources of floodplains, and their relationships with changing land cover and land use in the Amazon Basin. The Jupindá Lake showed substantial changes in the carbon burial rates following deforestation, supporting the connection between flooded areas and their surrounding vegetation. The high peak in carbon accumulation observed around 1950 appears to be associated with a shift in the source of organic material, inferred by changes in carbon and nitrogen contents and the isotopic fractioning towards the middle (from 20 to 40 cm depth interval) of the sediment column. This peak for different organic and inorganic variables in intermediate depths revealed changes not only in the amount but also in the type of material being deposited over time. Previous studies have reported two common origins for OC in the Amazon forest. Higher δ15N and more negative δ13C values could indicate the presence of Santarém soil organic matter (such as that adjacent to the Jupindá Lake), while lower δ15N and more variable δ13C values indicate particulate organic carbon (POC) from the terrestrial vegetation in the catchment (Ometto et al., 2006; Zocatelli et al., 2013). Here, a corresponding increase in TOC, TN and OC burial rates measured, with a peak around 1950, suggesting higher inputs of organic matter into the lake. The higher δ13C signature, coupled with a lower δ15N, indicates a greater influence from the terrestrial Amazonian POC during the same period, around 1950 (Ometto et al., 2006).

When looking for a cause for this change in the source of organic material, we look to the analysis of land use change. Land clearing associated with early occupation from the 1940s in the catchment area of the Jupindá Lake may be a potential cause of the increased carbon burial observed in the lake. Changes in land use and associated deforestation may significantly affect OC burial in mid- to high-latitude lakes (Anderson et al., 2013; Dietz et al., 2015). Indeed, our results suggest that land clearing during the 1940s and 1950s might be related to increased organic matter deposition in the region's floodplain lakes. During this period, intense wood extraction and expansion of agricultural settlements occurred (Amorim, 2000; Cruz et al., 2011). One important consequence of deforestation in the watershed is the silting up of lakes (Enea et al., 2012), including those at humid low-latitude areas (Cohen et al., 2005; Bakoariniaina et al., 2006). However, the lake is in a region relatively well protected, and therefore there is no other explanation other than deforestation in the margins to have caused the peak in OC burial around the 1950s. The riparian forest systems are generally effective in reducing the sediment transport by surface runoff, with the removal of this vegetation increasing the erosion processes, especially in the Amazon Basin as a result of intense rainfall (Neill et al., 2013). The peak in the significantly greater δ13C and lower δ15N values coupled to higher OC burial rates were observed in the phase between ∼1930 and 1970 in Jupindá Lake (one-way ANOVA followed by Tukey's post test, p<0.05; Fig. 7). The δ13C values were greater in the ∼1930 to 1970 phase as related to those previous and after, respectively (one-way ANOVA followed by Tukey's post test, p<0.05). This peak between ∼1930 and 1970 also showed δ15N values lower and OC burial rates higher than other phases (one-way ANOVA followed by Tukey's post test, p<0.05).

We also found a spatial dependence of the carbon accumulation in Lake Jupindá, as the much lower OC burial was coupled to higher deforestation rates in those larger buffers around its margins and main fluvial channels (500, 1000 and 6000 m) in the period after the 1970s (between the 1970s to 2010) than that before (∼1930 to 1970). This confirms previous evidence that the recent deforestation process in the region commenced in the riparian zone (Amorim, 2000; Cruz et al., 2011), and not in the interior of the forest. The enhanced OC burial in lacustrine sediments before ∼1970 was related to higher deforestation rates only in the riparian vegetation zone (100 m buffers), suggesting a higher influence of deforestation with decreasing distance to water courses. Therefore, the soil carbon enrichment to the aquatic sediments during the peaks of riparian deforestation may cause intense but temporary carbon burial events in the Amazon floodplain, potentially representing only a significant part of the total loss of terrestrial organic matter. In addition, the continued removal of vegetation from the interior of the forest might not be directly related to increases in OC burial, even temporarily, in depositional aquatic ecosystems.

5 Conclusions
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Palaeolimnological techniques were used with a historical spatial analysis of deforestation to interpret changes in sediment characteristics during the past century. The Pu dating method closely approximates measurements from the 210Pb chronologies and hence offers a technique to determine sedimentation rates and carbon accumulation in Amazon sediments. An increase in OC burial, up to 298 $\mathrm{OC}\phantom{\rule{0.125em}{0ex}}\mathrm{g}\phantom{\rule{0.125em}{0ex}}{\mathrm{m}}^{-\mathrm{2}}\phantom{\rule{0.125em}{0ex}}{\mathrm{yr}}^{-\mathrm{1}}$, coincides with changes in the δ13C and δ15N signatures, likely influenced by the heavy deforestation in riparian systems of this region during the 1940s and 1950s. It is suggested that the net increase in carbon burial towards the center of the sediment core, which represents the highest carbon burial rates during the 1950s, is a result of a change in source of organic matter deposition. However, any increase in OC burial rates attributed to deforestation might be lower than the loss of terrestrial biomass in the standing crop or soils. The differing carbon burial rates along the sediment core therefore identify the potential complexity of the Amazon floodplain lakes, directly related to the development within the Basin. This work supports the urgent need for management practices based on the conservation of riparian forests, demonstrating the spatial dependence of carbon burial capacity of the Amazon floodplain lakes with respect to advances in deforestation in the Basin.

Data availability
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Data availability.

All information necessary to reproduce the results are included in the manuscript.

Competing interests
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Competing interests.

The authors declare that they have no conflict of interest.

Acknowledgements
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Acknowledgements.

Luciana M. Sanders is supported by APA and IPRS scholarships. Humberto Marotta and Alex Enrich-Prast received research grants from the Brazilian Research Council (CNPq – “Programa Universal” and “Bolsa de Produtividade”) and the Research Support Foundation of the State of Rio de Janeiro (FAPERJ – “Programa Jovem Cientista do Nosso Estado”). Christian J. Sanders is supported by the Australian Research Council (DE160100443).

Edited by: Steven Bouillon
Reviewed by: Jack Hutchings and one anonymous referee

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