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Article • Bragantia 80 • 2021 • https://doi.org/10.1590/1678-4499.20210106 linkcopy

Open-access Soil attributes and root distribution in areas under forest conversion to cultivated environments in south Amazonas, Brazil

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    ABSTRACT

    The objective of this work was to evaluate soil attributes and root distribution in areas under forest conversion to cultivated environments. The study was carried out in four areas: forest, cupuaçu, guarana and annatto, located in the municipality of Canutama, state of Amazonas. Soils and volumetric rings were collected in the layers 0.00 – 0.10; 0.10 – 0.20; 0.20 – 0.30; 0.30 – 0.40; and 0.40 – 0.50 m for analyses of physical and chemical attributes and root distribution. Univariate statistical analyses were carried out, the means were compared with the Tukey’s test (p < 0.05) and Pearson’s correlation (p < 0.05 and < 0.01). The forest area and the cultivated environments present soil chemical limitations for agricultural production, whereas the physical attributes presented satisfactory values. The chemical attributes underwent major changes and degradations upon conversion to agriculture. Major changes were observed in the layers of 0.00 – 0.10 and 0.10 – 0.20 m for the studied areas. Cupuaçu cultivation showed higher values of roots dry weight (RDW) and roots distribution (RD), with the highest values found in the 0.00 – 0.10 and 0.10 – 0.20 m layers.

    Key words Amazonian soils; management; effective roots

    INTRODUCTION

    The cupuaçu (Theobroma grandiflorum [Willd. ex. Spreng] Schum), guarana (Paullinia cupana [Mart.] Ducke) and annatto (Bixa orellana L.) are plants of Amazonian origin, which have economic, social and cultural importance for the region. They are adapted to deep acid soils with high levels of aluminium and low fertility, and have a pivoting root system, characterized as deep, showing a main axis from which secondary and tertiary roots emerge (Franco et al. 2008).

    Currently, the occupation and replacement of forested areas in agricultural areas without proper knowledge and nonobservance of technical criteria has been one of the main problems in the Amazon region. The conversion of natural habitats to agricultural systems, especially monoculture systems, has provoked changes in soil properties and, in most cases, cause adverse environmental impact (Freitas et al. 2015).

    According to Moline and Coutinho (2015), opening up new areas in the Amazon for agriculture implies a significant reduction in the organic matter (OM) content deposited on the surface layer, causing negative changes in nutrient availability, which, associated with improper handling of the areas to which they are inserted, decrease crop productivity over time. Magalhães et al. (2013) verified a reduction in the nutrient stock in crop (teak, agroforestry with teak, agroforestry with teak and cocoa, agroforestry with teak cocoa and pasture, extensive pasture) areas in relation to the native forest in Rondônia. Araújo et al. (2011), analyzing the forest-to-pasture conversion, also found low levels of Ca, Mg, K and P in the first layers of the soil in cultivated areas.

    Oliveira et al. (2015) state that soil physical attributes are changed due to the handling to which they are subjected, and this may be exacerbated by the constant use of conventional tillage equipment. In addition, different management and land use practices can cause changes in soil water movement, soil resistance to penetration (SRP), porosity and aggregate classes, serving as soil structure indicators (Sales et al. 2016). A compacted soil does not provide conditions for the growth of the root system, interfering with the absorption of water and nutrients by the root and, consequently, in the production of the crop.

    Given that the conversion processes often cause negative changes in soil properties, there is currently a lack of studies that evaluate which attributes undergo major changes and that suggest management practices to reduce soil degradation. Therefore, the objective of this work is to evaluate soil attributes and root distribution under forest conversion to cultivated environments in the municipality of Canutama, state of Amazonas.

    METHODS

    The study was conducted in the São Francisco settlement located in the municipality of Canutama, Amazonas, Brazil, under the geographical coordinates 8°11’22” S, 64°00’83” W (Fig. 1), in 2017, in four areas: secondary forest, cupuaçu (Theobroma grandiflorum [Willd. ex. Spreng] Schum), guarana (Paullinia cupana [Mart.] Ducke) and annatto (Bixa orellana L.).

    Figure 1
    Location map of the areas studied in the southern region of Amazonas.

    The common vegetation of this region is dense tropical forest, consisting of densified and multi-layered trees between 20 and 50 m tall. According to Campos et al. (2012), the predominant landscapes of this region consist of natural fields, natural fields/forests and forests.

    The soil of the study area is classified as a red-yellow argisol located on the Amazonian plain between the Purus and Madeira rivers. The soil is associated with recent and ancient alluvial sediments from the quaternary period, characterized by the presence of large tabular reliefs, soils of low depth, relief with very smooth slopes, and a deficient natural drainage (Embrapa 1997).

    In the field, four areas were selected to be investigated, being formed by secondary forest, cupuaçu, guarana and annatto. In each area, four plants were selected at random to compose the repetitions. In these plants, trenches were made at a distance of 0.5 m from the stem, for collecting soil samples and monoliths for sampling the roots, at depths of 0.00 – 0.10, 0.10 – 0.20, 0.20 – 0.30, 0.30 – 0.40 and 0.40 – 0.50 m, totaling 20 samples per area and a total of 80 samples.

    The selected forest area for this study has 4.50 ha and is characterized as a secondary forest, where the natural vegetation was deforested in 1994, but it was not used for agriculture, allowing an ecological succession, reaching its current stage as a secondary forest. Fire was used to clean the area, and then agricultural crops were planted. Fertilization and liming were not used in the area during the whole growing period. The cultivation area with cupuaçu occupies 1.56 ha, is 7 years old, with a spacing of 5 × 4 m, and with yields of 500 kg·ha–1·year–1 pulp. The area in cultivation with guarana occupies 2.25 ha, is 7 years old, with a spacing of 5 × 5 m, and with yields of 420 kg·ha–1·year–1 of dry seed. The area of cultivation with annatto occupies 1.80 ha, is 3 years old, with a spacing of 5 × 4 m, and with yields of 642 kg·ha–1 of seeds.

    Samples with a preserved structure and volumetric rings of 4.0 cm height and 5.1 cm of internal diameter were collected in each trench of the four areas, in the 0 – 0.10, 0.10 – 0.20, 0.20 – 0.30, 0.30 – 0.40 and 0.40 – 0.50 m layers, for the determination of the chemical and physical properties of the soil and root distribution.

    In each trench, monoliths (soil blocks) were used for the sampling of roots, according to Böhm (1979) and Schuurman and Goedewaagen (1971). They had dimensions of 20 cm of width, 10 cm of length and 10 cm of height, in the layers 0 – 0.10, 0.10 – 0.20, 0.20 – 0.30, 0.30 – 0.40 and 0.40 – 0.50 m. The roots were separated by washing under running water through 2 mm mesh sieves and forceps. After separation of the effective roots (< 1.0 mm), they were taken to the circulation oven for 72 h to obtain the dry mass in grams to calculate the roots dry weight (RDW) in g·dm–3 and roots distribution (RD).

    The formula in Eq. 1 was used to calculate RDW:

    R D W =   D W V M (1)

    where RDW = root dry weight in g·dm–3, DW = dry weight of the root in g after 72 h in the circulation oven and VM = the volume of the collected monolith in dm–3.

    The formula in Eq. 2 was used to calculate RD:

    R D =   R D W Σ R D W × 100 (2)

    where RD = root distribution in %, RDW = root dry weight in g·dm–3 and SRDW = sum of the dry weight of the roots of the other layers in g·dm–3.

    The soil was submitted to the shade drying process and sieved in a 2 mm mesh, characterizing an air-dried soil. Chemical analyses were performed according to the methodology proposed by Teixeira et al. (2017) for pH in water, potential acidity (H+ + Al3+), exchangeable aluminum (Al3+), calcium (Ca2+), magnesium (Mg2+), resin phosphorus (Pr), potassium (K) (Teixeira et al. 2017), and organic carbon wet path by the Walkley–Black method, modified by Yeomans and Bremner (1988), OM was determined by the product of organic carbon (OC) by factor 1.724 (Teixeira et al. 2017). Based on the quantified attributes, the following were calculated: cation exchange capacity effective (t) and potential (T); sum of bases (SB), base saturation (V) and aluminum saturation (m).

    The carbon stock (CS) was defined by the Eq. 3:

    C S   =   S d   x   h   x   O C (3)

    where CS = carbon stock (t·ha–1), Sd = soil density (g·cm–3), h = corresponds to the depth at which the samples were collected (10 cm) and OC = organic carbon content (g·kg–1).

    The soil samples collected in the form of a clod were shade dried and manually discharged in a set of sieves (9.51, 4.76 and 2.00-mm diameter). After this, physical analyses were performed, according to methodology proposed by Teixeira et al. (2017) including aggregate stability, geometric average diameter (GAD), weighted average diameter (WAD), aggregate classes > 2 mm, 1–2 mm, < 1 mm and aggregate stability index (ASI) with soil that was retained in the 4.76 mm mesh. With soil that passed the sieve of 2 mm granulometric analysis of sand, silt and clay were performed. The following analyses were performed with the volumetric rings: SRP, Sd, total porosity (TP), microporosity (MiP), macroporosity (MaP) and volumetric humidity (VH).

    After obtaining the data on chemical and physical attributes and on RD, descriptive statistics analyses were performed, and the mean and coefficient of variation were calculated.

    Analysis of variance was performed to verify if there is a difference between the areas studied. To determine which area is different from the other and to compare the means of the attributes, Tukey’s test was performed at 5% probability, using the SPSS 21 software (SPSS Inc. 2001).

    RESULTS AND DISCUSSION

    Low pH values are common in soils of the southern Amazon region, as observed by Campos et al. (2012) and by Mantovanelli et al. (2015), who found pH values below 5.00 (Table 1). The pH increased in depth for all studied areas (Fig. 2). The lowest pH of the 0.00–0.10 m layer was attributed to the production of organic and inorganic acids, such as H2SO4 and HNO3, and to the decomposition of OM (Galdos et al. 2004), in addition, through the removal of bases by cultures and leaching of the bases in the superficial layers due to high precipitation in the Amazon region (Silva Neto et al. 2019).

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    Table 1
    Mean and coefficient of variation of the chemical attributes in areas under conversion from forest to cultivated environments in the municipality of Canutama, Amazonas, 2017.
    Figure 2
    Mean values of soil chemical attributes, at different depths, in areas under conversion from forest to agricultural environments in the municipality of Canutama, Amazonas.

    The behavior of exchangeable Al in the studied environments may be an indicator of the effect of systems with low production capacity for organic compounds, which do not show Al3+ complexing capacity, as verified by Moline and Coutinho 2015 and Mantovanelli et al. 2015.

    The Ca2+ presented a significant difference for the studied areas, in all layers, with the highest values in the cupuaçu area, reaching up to 1.38 cmolc·kg–1 in the layer 0.20 – 0.30 cm and decreasing in the other layers. The lowest values were observed in the forest area, for all studied layers reaching up to 0.39 cmolc·kg–1 (Table 1). This is mainly due to the cleaning process for implanting the crops, where the burning provides the soil with Ca2+ present in the native vegetation structures. These values corroborate with Carneiro et al. (2009), who found higher levels of Ca2+, Mg2+ and P in managed areas.

    Evaluating the Mg2+ contents, a significant difference was observed only in the 0.00 – 0.10 m layer for the studied areas, where the highest value was observed on the forest area and the lowest value in the cultivated areas (Table 1). Jakelaitis et al. (2008) reported a decrease of Ca2+ and Mg2+ due to the removal of the original forest for cultivation, justified by the poor soil management, and the continuous removal of the trees or vegetation, among other factors.

    Phosphorus presented statistical difference for the studied areas only in the 0.00 – 0.10 m layer with the highest values found in the forest area, followed by the guarana area (Table 1). In most of the soils of the Amazon region, except areas of black Indian soil, P levels are generally very low, as shown by Campos et al. (2010) and Campos et al. (2012). However, in their study, Oliveira et al. (2015) found high levels of P in forests (6.09 mg·dm–3) and agroforestry areas (8.19 mg·dm–3), values higher than those found in the present study.

    Phosphorus had the highest levels, at depths 0.00 – 0.10 and 0.10 – 0.20 m, mainly for the areas of forest and guarana, with little variation at depths below 0.20 m (Fig. 3). The soil P levels corroborate with Galang et al. (2010), who showed that the stocks of inorganic P in the superficial layers of the soil is due to the conversion of organic P. In general, the studied environments have low available phosphorus values. One of the main factors responsible is the phosphorus precipitation with the ions Al and Fe, present in high levels in the soil (Gama-Rodrigues et al. 2014).

    Figure 3
    Mean values of soil chemical attributes, at different depths, in areas under conversion from forest to agricultural environments in the municipality of Canutama, Amazonas.

    The values of t and T decrease in depth, while SB and V% increase (Fig. 3). These parameters are related to K+, Ca2+ and Mg2+, being strongly influenced by their contents, except for t and T, which are more influenced by Al3+ and H+ + Al3+, respectively, and these decreased in depth, which consequently provided a decrease in t and T. The m% varied slightly with soil depth and a significant increase in the cupuaçu area was observed from 0.30 m.

    Table 2 presents the mean and coefficient of variation of aggregates, OM, OC and CS in all areas and depths studied. At layer 0.00 – 0.10 m, in the aggregate class > 2 mm, 1–2 mm and < 1 mm, and at layer 0.20 – 0.30 m, for < 1mm, no significant differences were observed between the studied areas. However, a significant difference occurred between the studied areas in the other layers (Table 2). The forest area showed the highest values of aggregates in the class > 2 mm, in relation to the cultivated areas with the different crops studied. According to Soares et al. (2016), soils with larger stable aggregates are considered structurally better and more resistant to erosive processes, aggregation facilitates soil aeration, gas exchange and water infiltration, due to the increase of MaP, and ensures microporosity and water retention within the aggregates. On the other hand, the lowest values of aggregates in the class 1–2 mm were observed for the forest area in all the studied layers and the largest ones were observed in the cupuaçu area, in the lower layers.

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    Table 2
    Average and coefficient of variation of soil aggregates and OC, OM and CS in areas undergoing forest conversion for cultivated environments in the municipality of Canutama, Amazonas, 2017.

    Geometric average diameter (GAD) showed values lower than those reported by Coutinho et al. (2010) for all areas in all studied layers. Such differences may be related to the root system of crops, since the cultures studied present a pivoting root system, while those studied by Coutinho et al. (2010) had a fasciculate root system, which is more aggressive and covers more areas, resulting in greater soil formation.

    Figure 4 presents soil aggregate parameters by depth in the different areas. It can be observed that, for the class of aggregates > 2 mm, ASI, GAD and WAD decrease in depth. This factor can be related to the OC, OM and CS, which also decreased in depth (Fig. 5). These observations corroborate with Vasconcelos et al. (2010), which related the soil aggregation process to the content of OM and with Wendling et al. (2012), who observed a decrease in soil aggregation, with increased depth in soil under native forest.

    Figure 4
    Mean values of soil aggregates, at different depths, in areas under conversion from forest to agricultural environments in the municipality of Canutama, Amazonas.
    Figure 5
    Mean values of OC, OM and CS, at different depths, in areas under conversion from forest to agricultural environments in the municipality of Canutama, Amazonas.

    For groups of aggregates of 1–2 mm and < 1 mm, an increase was observed according to depth (Fig. 4). This is likely due mainly to the decrease in OC, OM and CS with soil depth (Fig. 5), which influence soil aggregation by acting as cementing agents.

    The decrease with depth of OC, OM and CS (Fig. 5) was also observed by Mantovanelli et al. (2015), and they attribute this pattern to the higher deposition of OM on the surface, which is intensified due to the contribution of more lignified vegetable residues.

    With respect to SRP, the layers 0.00 – 0.10 and 0.10 – 0.20 m showed significantly higher values for guarana and annatto and the lowest for cupuaçu (Table 3). In general, according to Couto et al. (2016), the studied areas, in all the layers that show an SRP lower than 2 MPa, characterize soils without restriction to root growth. This higher SRP value observed on guarana and annatto likely occurred because the soil in these locations had no initial preparation.

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    Table 3
    Mean and coefficient of variation of the SRP, Sd, soil porosity and root system distribution in areas under forest conversion to cultivated environments in the municipality of Canutama, AM, 2017.

    Vogel and Fey (2016) attributed the higher Sd and SRP in the superficial layers to the low intensity of soil preparation. Another factor is the exposure of the bare soil surface, which has consequently been compacted by rain drops.

    Figure 6 shows the compaction parameters, root distribution and soil porosity for the different areas in the studied depths. It can be observed that SRP and Sd, in general, increased according to depth, as observed by Lima et al. (2013), who verified that from the 0.20 m depth there was more soil compaction.

    Figure 6
    Mean values of SRP, SD, porosity and root distribution, at different depths, in areas under conversion from forest to agricultural environments in the municipality of Canutama, Amazonas.

    Soil density (Sd) showed a significant difference between areas in the layers of 0.00 – 0.10 and 0.30 – 0.40 m, with the highest values observed for the annatto and guarana areas (table 3). This increased value can be attributed to the use of fire to clean the area. Redin et al. (2011) pointed out that the main alterations that occur with burning include a decrease in the volume of macropores, the weighted average diameter of the stable aggregates and an increase in soil density.

    The TP and MaP showed significant differences between the studied areas only in the layer 0.00 – 0.10 m, while MiP and VH showed significant differences in the layer 0.40 – 0.50 m. The highest values of PT and MaP were found in the cupuaçu area in the 0.00 – 0.10 m layer and for the MiP and UV in the guarana area (Table 3). According to Soares et al. (2016), the reduction of the TP can reflect the reduction of the MaP, since the MiP does not seem to be influenced directly by the soil management.

    Total porosity and MaP decreased in depth, while MIP and VH increased according to depth (Fig. 6). This factor can be attributed to the increase of the Sd and, consequently, of the SRP, which compact the soil reducing TP and MaP, and increase the MiP and VH, where the larger the MiP, the greater the soil capacity to retain water, consequently increasing the VH.

    In Table 3 it is possible to observe a significant difference for RDW between the areas for all the layers evaluated, except for layer 0.40 – 0.50 m, and the highest values found were in the area under cupuaçu cultivation in layers 0.00 – 0.10 and 0.10 – 0.20 m. In the other layers, the highest values were found in the forest area. This higher RDW can be attributed to cupuaçu in these layers due to the fact that it has presented smaller SRP and Sd in the superficial layers, and also because the area has 7 years of cultivation.

    Roots dry weight (RDW) and RD decreased with depth, with the highest levels observed up to 0.20 m depth. This is likely due mainly to the lower SRP and Sd and the higher TP and MaP, as well as to the greater amount of OM at that depth, contributing to higher levels of P, K, Ca2+ and Mg2+, essential nutrients for plant development. According to Pezzoni et al. (2012), the litter from the deposition of dead matter, from the aerial part of the trees, positively affects the soil quality, both physically for the SRP, Sd and aggregate attributes, and chemically through the nutrient cycling process.

    The environments cultivated have fertility levels close to those observed in the forest environment, however they require management for exchangeable bases, components of acidity, P and accumulation of OM. Therefore, liming is necessary to reduce acidity, supply Ca and Mg, and provide essential nutrients for plant nutrition (Natale et al. 2012). In addition, it is recommended to apply phosphate fertilizers, as a practice, to increase the phosphorus content in the soil and, consequently, greater availability for plants. However, it is essential to use practices that increase the content of OM in the soil, either through the use of cover plants or the management of plant residues. According to Damasceno et al. (2019), brachiaria, jack beans, millet and their mixtures, are excellent alternatives for use as cover crops in the Amazon region, which in addition to having good coverage, take longer to decompose after cutting, allowing accumulation of OM in the soil. The management of plant residues, through the action of the litter produced by the accumulation of branches, leaves, flowers and fruits of the cultivated species, contributes significantly to the accumulation of OM in the soil and also in the increment of nutrients (Pérez-Flores et al. 2018).

    The environment with cupuaçu cultivation showed improvement in porosity, soil aggregation and compaction. These improvements are even superior to those observed in the forest environment. This was attributed to the low use of machines in the cultivated systems, which allowed the maintenance of the physical characteristics of the soil related to compaction, which allowed a greater root growth in the cupuaçu area and, with that, improvements in the porosity and aggregation of the soil (Chaves et al. 2020). The soil compaction observed in the secondary forest area may be due to the soil compression caused by the growth of the roots (Oliveira et al. 2015).

    FINAL CONSIDERATIONS

    Greater changes were observed in the soil surface, being more influenced by exchangeable bases, organic components and soil compaction. The cultivated environments showed fertility levels similar to those observed in the forest and, often, a superior physical structure. However, management is recommended to improve acidity, exchangeable bases, organic components and soil compaction, mainly for annatto and guarana crops.

    The cultivation of cupuaçu increased soil fertility levels, and its greater root development, aggregation, accumulation of organic matter, compaction and soil porosity.

    Due to the ecological question that the Amazon Forest weighs in Brazil and the world, further studies should be carried out to evaluate the impacts caused to the soil by the conversion of forest into cultivated environments in the region as a way of generating data, which minimizes the impacts caused by agriculture.

    ACKNOWLEDGMENTS

    The authors thank the Universidade Federal do Amazonas for their technical support during the research.

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    Edited by

    • Section Editor: Hector Valenzuela

    Publication Dates

    • Publication in this collection
      13 Aug 2021
    • Date of issue
      2021

    History

    • Received
      09 Apr 2021
    • Accepted
      07 June 2021
    Creative Common - by 4.0
    This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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