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EKOLOGIJA. 2007. Vol. 53. No. 1. P. 21–28 © Lietuvos mokslų akademija, 2007 Relationships between soil organic matter content and soil erosion severity in Albeluvisols... © Lietuvos mokslų akademijos leidykla, 2007 21 Relationships between soil organic matter content and soil erosion severity in Albeluvisols of the Žemaičiai Uplands Benediktas Jankauskas1, Genovaitė Jankauskienė1, Michael A. Fullen2 1 Kaltinėnai Research Station of the Lithuanian Institute of Agriculture, Varnių 17, LT-75451 Kaltinėnai, Šilalė District, Lithuania E-mail: kaltbs@kaltbs.lzi.lt 2 School of Applied Sciences, The University of Wolverhampton, Wolverhampton WV1 1SB, U.K. E-mail: m.fullen@wlv.ac.uk This article analyses relationships between soil erosion severity and soil organic matter (humus) content. The paper describes approaches to assess cumulative soil loss due to the combined action of natural (geological) and accelerated (human induced) soil erosion on Eutric Albeluvisols in Lithuania. Evaluation of soil erosion severity helps us understand which segments of the landscape are susceptible to erosion and therefore require soil conservation. The study also evaluates changes in soil organic matter content in relation to erosion severity. Factors considered in evaluating soil erosion severity included the existing genetic soil horizons remaining after soil erosion processes, the estimated thickness of lost soil and slope inclination. The estimated depth of soil loss due to the combined action of natural and accelerated soil erosion varied from 0.1–0.8 m on the undulating topography of the Žemaičiai Uplands. Erosion rates increased with slope steepness. Therefore, natural soil fertility (as indicated by spring barley yields) decreased by 21.7, 39.7 and 62.4% on slopes of 2–5°, 5–10° and 10–15°, respectively, compared with flat land. Crop yield was strongly negatively correlated (r2 = 0.790, P < 0.001, n = 138) with erosion severity and strongly positively correlated (r = 0.922; P < 0.001, n = 80) with soil organic matter content. Key words: undulating landscape, soil erosion severity, soil organic matter, plant productivity INTRODUCTION Soil organic matter (SOM) is the most important indicator of soil quality and productivity and consists of a complex and varied mixture of organic substances. Commonly, soil organic matter is defined as the percent humus in soil. Humus is the unidentifiable residue of plant soil microorganisms and fauna that becomes fairly resistant to further decay. Organic matter is very important in the functioning of soil systems for many reasons. Soil organic matter increases soil porosity, thereby increasing infiltration and water-holding capacity of the soil, providing more water availability for plants and less potentially erosive runoff and agro-chemical contamination (Lal et al., 1998). SOM is an important component of both managed and unmanaged terrestrial ecosystems, but is especially important in influencing soil erodibility. SOM contains three times more carbon than vegetation and twice that of the atmosphere. Organic matter in eroded soil decomposes at a greater rate than in intact soil. The organic carbon content within the erodible fine surface fraction is usually ~1–2% (Boyle, 2002). Stable SOM (humus), which can have a mean residence time of centuries, becomes a potential source of ‘greenhouse gases’ through a series of biochemical transformations initiated by the physical process of erosion. Erosion enhances SOM decomposition at two locations: the eroded surface of the land and the eroded ‘in transit’ soil / sediment. Erosion creates a new pool of mineralizable organic matter that is different from the remaining stable organic matter. This transported soil organic fraction is no longer under the same physical and environmental conditions that allowed the organic matter to initially stabilize (Jenny, 1980). Water erosion eliminates two of the usual rate-limiting factors leading to decomposition of SOM: substrate diffusion and moisture. Erosion turbulently mixes micro-organisms and organic matter and transports the soil under near-saturated conditions from a site of stabilization, even if just a few metres away. It is well established that when topsoil is disturbed and aerated there is a flush of SOM decomposition. This temporary enhancement of decomposition rates is primarily dependent on soil temperature and moisture. Once the physical 22 Benediktas Jankauskas, Genovaitė Jankauskienė, Michael A. Fullen protection conferred by the aggregate is removed, these fluctuating conditions allow the eroded organic fraction to decompose much more rapidly, in anaerobic conditions to CH4, CO2 and N2O and in aerobic environments to CO2 and H2O (Boyle, 2002). Water erosion occurs mostly on arable slopes in Lithuania, as the natural vegetation (woods, shrubs or grasslands) effectively protects soil from erosion (Jankauskas, 1996). Soil erosion intensity depends mainly on tillage (mechanical) erosion, which has been identified as the main cause of accelerated soil erosion on arable slopes (Kiburys, 1989; Jankauskas, 1996). Agricultural implements (such as ploughs, cultivators and harrows) were used for tillage, which encouraged soil translocation on the hilly relief in the mid-twentieth century. The rate of soil translocation under tillage erosion depends on slope steepness, tillage equipment and the direction of tillage operations. The farmers often create favourable conditions for both water and wind erosion, using tillage equipment on a hilly relief. Tillage erosion only moved soil over a short distance (75–85 cm), whereas water and wind erosion transport soil over much greater distances (Jankauskas, Kiburys, 2000). The oldest water erosion monitoring sites in Lithuania have been operational since 1960 at the Dūkštas Research Station of the Lithuanian Institute of Agriculture (LIA) (Pajarskaitė, 1965). The research data of the Dukštas Research Station represent soil and meteorological conditions on the Baltic Uplands of Eastern Lithuania. Monitoring sites include bare fallow, grain crops, grasses and wasteland (untilled / uncultivated land) landuses. Losses of clay loam soil due to water erosion on hill slopes of Eastern Lithuania over 40 years varied markedly: from 4.5 t ha-1 yr-1 of soil under cereal grain crops to 46.6 t ha-1 yr-1 on bare fallow on 5–7o slopes (Bundinienė, Paukštė, 2002). Erosion-preventive grass-grain crop rotations (>50% grass) decreased soil losses on arable slopes of 2–5o, 5–10o and 10–14o by 77–81%, while the grain–grass crop rotation (<50% grass) decreased these rates by 21– 24% compared with the field crop rotation according to 12 years of field experiments at the Kaltinenai Research Station of the LIA. These results represent the soil and meteorological conditions of the Žemaičiai Uplands of Western Lithuania (Jankauskas, Jankauskiene, 2003). The main aims of this paper are: (1) to assess cumulative soil loss due to the combined action of natural and accelerated soil erosion in Lithuania, (2) to evaluate changes in SOM content in relation to erosion in- tensity, and (3) to understand which segments of undulating landscapes are susceptible to erosion and therefore require soil conservation to decrease both erosion processes and the decomposition of soil organic matter. MATERIALS AND METHODS The Kaltinėnai Research Station (KRS) of the LIA conducted field studies on the undulating topography of the Žemaičiai Uplands, an area of moderately and severely podzolized-eluviated soils (Fig. 1). Albeluvisols (AB) form the major soil group and Eutric Albeluvisols (ABd), Eutric Regosols (RGe) and Gleyic Albeluvisols (ABg) form individual soil units on the investigated slopes (FAO / UNESCO, 1994). Loamy sands and clay loam textures prevail on the research plots. A methodology to classify soil erosion severity on Eutric Albeluvisols in Lithuania was described by Jankauskas and Fullen (2002), and partially by Янкаускас (1993). The goal of investigations was to assess cumulative soil loss due to the combined action of accelerated and natural soil erosion. Evaluation of soil erosion severity helps us understand which segments of the landscape are susceptible to erosion and therefore require soil conservation. Its helps us to better understand relationships between soil erosion severity and changes in SOM content. Table 1 shows the location and altitudes of some study sites. Full field studies included description of 23 longitudinal landscape or slope transects, 87 soil profiles Km Fig. 1. Location of study sites in the Žemaičiai Uplands of Lithuania. G, S and X are codes of the longitudinal profiles, K is Kaltinėnai Research Station Table 1. Location of the main study sites Locality District Code Kaltinėnai Maž. Vankiai Pavandenė Pagirgždutis Šilalė Šilalė Telšiai Kelmė K S G X K stands for Kaltinėnai Research Station; S, G, X are study sites. Latitude (N) 55° 55° 55° 55° 34’ 39’ 47’ 40’ Longitude (E) 22° 22° 22° 22° 29' 21' 29' 32' Altitude (m) 140–150 180–190 200–210 190–200 Relationships between soil organic matter content and soil erosion severity in Albeluvisols... and 68 boreholes, supported by chemical analysis of 647 soil samples from these profiles. The slope transects were representative of the undulating relief of the Žemaičiai Uplands: 22 transects were on loamy sands and clay loams, and one was on sandy soil. The characteristic feature for soils on 18 transects was the presence of a deep calcareous soil horizon at a depth of 1.20–1.85 m. Only five transects had a relatively shallow calcareous horizon (0.72–1.00 m deep). The altitudes of the slopes ranged from 140 to 210 m above sea level. Stable soil organic carbon (humus) was determined by the Tiurin method (Бельчикова, 1975; Орлов, Гришина, 1981), which is a wet combustion technique similar to the Walkley–Black method (USDA, 1995). Humified soil organic matter was oxidized by solution of potassium dichromate with sulphuric acid, ratio 1 : 50(25), and excess dichromate determined by titration with ferrous sulphate (Mohr solution). However, the protocol determines ‘humus’ rather than soil organic matter or organic carbon, because only humified organic matter remains after a thorough exclusion of undecomposed plant and animal residues. O A 0 RESULTS AND DISCUSSION Lost soil layer or soil profile truncation One representative transect from the group of the 23 longitudinal transects studied (see Materials and Methods) is shown in Fig. 2. Soil profile S0 was an uneroded profile in a wood on Transect S. The calcareous soil horizon was at a depth of 1.81 m on soil profile S0 in woodland and at 1.85 m on soil profile S2 on a sloping Ap E A1 E 0.5 Horizon depth, m Exchangeable P2O5 and K2O (mg kg-1) were extracted with ammonium acetate-lactate (A–L solution, pH 3.7; ratio 1 : 20). Exchangeable P2O5 was determined by spectrophotometry and K2O by flame photometry (Egner et al., 1960). The significance of differences between treatment means was determined using Fisher’s LSD05 (Tarakanovas, Raudonius, 2003; Clower, Scarisbrick, 2001). Statistical correlation–regression analyses were performed using the computer programs ANOVA, STAT, SPLIT-PLOT from the package SELEKCIJA and IRRISTAT (Tarakanovas, Raudonius, 2003). Ap AE Ap EB A2 E EB EB Bt1 Ap Ap Bt1 1 Bt1 Bt1 Bt1 Btg Bt2 1.5 Bt2 Bt2 Bt2 1.03 1.81 Bt2 1.85 1.05 1.41 BC BCg BCg BCg BC BCg S0 S1 S2 S4 S5 S6 2 Soil profile S0 S1 8o S2 6o 5o 23 S3 4o S4 6o S5 S6 5o Longitudinal landscape transect Fig. 2. Severity of soil erosion on transect S in the Žemaičiai Uplands (Maž. Vankiai village, Šilalė District). S0–S6 are soil profiles. S0: non-eroded soil in a woodland; S1 and S4: very severely eroded soil; S2: slightly eroded soil; S5: severely eroded soil, S6: colluvial soil on a foot-slope. Location of soil profiles is indicated by arrows. White line indicates the depth of the calcareous horizon, while the adjacent numbers indicate depth (m) 24 Benediktas Jankauskas, Genovaitė Jankauskienė, Michael A. Fullen plateau (Fig. 2). This 1.81 depth to the calcareous soil horizon was used as the basis for the calculation of eroded soil on Transect S. The thickness of soil above the calcareous horizon was 1.03 m (soil profile S1), 1.05 m (soil profile S4) and 1.41 m (soil profile S5). Therefore, the estimated approximate thickness of lost soil (soil profile truncation) was 0.78 m on the top of the 80 slope (soil profile S1), 0.76 m on the 60 slope (soil profile S4) and 0.40 m on the 50 slope (soil profile S5), and varied within 0.1–0.8 m on the other longitudinal landscape transects studied on the undulating topography of the Žemaičiai Uplands. According to more generalized research data, both soil profile truncation and erosion severity increased with increasing slope steepness £100 and is best expressed by the correlation–regression quadratic equation: Y = 0.055 + 0.112 X – 0.004 X 2, where Y is soil truncation (m), X is slope steepness (%). The other equation parameters were: r2 = 0.92**; t = 7.065; n = 72; correlation XY = 0.774 ± 0.211; determination XY = 0.60; multiple r = 0.959; regression coefficient Y / X = 0.92 or 92.1%. Erosion changes soil physical properties, mainly because of the removal (soil profile truncation) of surface soil rich in organic matter and exposure of lower soil layers. Arriaga (2003) indicated that the bulk density and hydraulic conductivity of saturated soil increased slightly with erosion severity. Numerous field and laboratory studies have shown that soils with low organic matter contents are more erodible than more organic soils, and generally soils with <2% organic matter content by weight are highly erodible (Fullen, Catt, 2004). A plausible explanation for the stabilization of soil profile truncation is the tendency to avoid use of slopes >10o for crop rotations in Lithuania. Thus, steep slopes Table 2. Quantity of SOM and available phosphorus and potassium in differently eroded and deposited soils on landscape transect S (south-west of the Žemaičiai Uplands) Soil horizon and depth (cm) Sampling depth (cm) SOM P2 O 5 K2O (mg kg–1 of soil) Soil profile S0: non-eroded soil in a woodland (flat) A AEl El ElB Bt1 Bt2 4–16 16–40 40–56 56–79 79–95 95–181 5–15 25–35 43–53 62–72 82–92 110–120 95.2 12.1 3.2 2.3 1.4 0.8 35 18 15 5 10 17 53 36 39 78 96 127 19.0 2.2 2.2 2.9 2.1 34 7 31 45 68 48 60 72 122 101 18.0 3.6 0.9 1.9 2.2 32 23 23 64 93 44 60 106 107 97 14.7 3.6 – – 33 58 98 17 88 109 92 78 57.1 75.6 74.6 2.6 41 60 44 187 71 149 335 107 Soil profile S2: slightly eroded soil on the gently sloping plateau Ap El ElB Bt1 Btg2 0–22 22–50 50–73 73–130 130–185 5–15 30–40 55–65 75–85 140–150 Soil profile S5: severely eroded soil on a 5° slope Ap ElB Bt1 Bt2g BCg 0–20 27–48 48–76 76–141 >141 5–15 30–40 55–65 100–110 145–156 Soil profile S4: very severely eroded soil on a 6° slope Ap Bt1 Bt2 BC 0–18 18–41 41–105 >105 5–15 25–35 50–60 110–120 Soil profile S6: colluvial soil on a foot-slope Ap A Al Bg 0–25 25–41 41–64 64–96 10–20 30–40 43–53 75–85 25 Relationships between soil organic matter content and soil erosion severity in Albeluvisols... Table 3. Quantity of SOM and available phosphorus and potassium in differently eroded and deposited soil (landscape transects G, K, X on the Žemaičiai Uplands) Number of soil profile Severity of soil erosion SOM P 2O 5 K2 O mg kg–1 of soil Landscape transect G, Pavandenė, Telšiai District G0 G7 G6 G5 G3 Non-eroded Slightly eroded Moderately eroded Very severely eroded Eroded-colluvial 2.72 1.82 1.48 1.12 2.01 74.0 52.8 92.0 65.0 153.3 349.0 107.1 98.2 90.5 52.3 59.0 67.0 95.0 54.0 56.2 107.0 209.0 203.0 218.0 105.0 77.0 160.0 104.0 66.0 67.0 124.0 183.0 324.0 190.0 203.0 Landscape transect K, Gineikiai, Šilalė District K0 K4 K3 K2 K1 Non-eroded Severely eroded Moderately eroded Slightly eroded Eroded-colluvial 2.46 1.50 1.70 1.90 3.40 Landscape transect X, Karklynaliai, Kelmė District X0 X1 X2 X3 X5 Non-eroded Slightly eroded Moderately eroded Severely eroded Colluvial 3.12 2.88 2.33 2.04 9.80 Table 4. Dependence of barley yield on slope gradient and erosion severity in landscape transect S Relief component Flat land 2–5° slopes 5–10° slopes Foot-slopes LSD 05 Degree of soil erosion Non-eroded Slightly eroded Moderately eroded Deposited soil Yield* from 9 investigated plots t ha–1 Decrease (t ha–1) In relative numbers 20.9 11.3 6.9 19.0 3.9 – 9.6 14.0 1.9 100 54.1 33.0 90.9 * The mean of 3-year grain and straw gross yield. are usually used for pastures and their soil is under perennial grass cover (Jankauskas, 1996; Шведас, 1974). SOM on differently eroded soil The amount of SOM in the arable soil layer (Ap horizon) is not only affected by erosion processes, but also influenced by human activity, i.e. fertilization by organic and mineral fertilizers, liming of acid soils, the composition and sequence of crops and crop residues, tillage systems and crop treatments. All these factors were practically equal on the described area (soil profiles S1–S6 in Fig. 2), because this field was under the same field crop rotation. The natural factors, such as temperature, precipitation, wind and age of soil formation, were also practically analogous and it is believed that the slight soil textural variability did not markedly influence SOM contents. The main visible differences were only in the situation of different plots on the landscape transect and slope inclination, thus presenting different conditions for tillage, water and partially for wind erosion. More severely eroded areas lost more soil and SOM, therefore less SOM and nutrients were left available for plant nutrition on the newly exposed eroded arable topsoil (Table 2). Colluvial soil on the foot-slope (soil profile S6) contained much more SOM and available nutrients not only in the arable (Ap) horizon, but also in deeper (EB, Bt) horizons. Runoff and snowmelt eroded soil on the slopes, and soil profiles became truncated. Excavation of eluvial subsoil (Bt) horizons is characteristic and, when ploughed, these soils have thinner humic topsoils. The ploughed out subsoil of eroded Albeluvisols is especially nutritionally poor and leads to decreasing SOM content in the arable soil layer. Over time the SOM content progressively decreased to 1.47% on the very severely eroded plot (S4). The SOM content was 1.8 and 1.9% on 26 Benediktas Jankauskas, Genovaitė Jankauskienė, Michael A. Fullen Table 5. Dependence of barley yield on slope gradient and erosion severity in the Žemaičiai Uplands (Gineikiai and Burniai (Šilalė District) and Pavandenė (Telšiai District) villages) Relief component Flat land 2–5° slopes 5–10° slopes 10–14° slopes Foot-slopes LSD 05 Soil erosion degree Non-eroded Slightly eroded Moderately eroded Severely eroded Deposited soil Yield* from 80 investigated plots × 3 years t ha–1 Decrease (t ha–1) 18.9 14.8 11.4 7.1 19.5 1.1 – 4.1 7.5 11.8 – In relative numbers 100 78.3 60.3 37.6 103.2 * The mean of 3-year grain and straw gross yield. Table 6. Dependence of SOM content on slope gradient and erosion severity in the Žemaičiai Uplands (Gineikiai and Burniai (Šilalė District) and Pavandenė (Telšiai District) villages) Relief component Flat land 2–5° slopes 5–10° slopes 10–14° slopes Foot-slopes LSD 05 Degree of soil erosion Non-eroded Slightly eroded Moderately eroded Severely eroded Deposited soil SOM content from 80 investigated plots mg kg–1 Decrease (mg kg–1) In relative numbers 25.7 22.7 19.2 13.1 30.9 0.19 – 3.0 6.5 12.6 – 100 88.3 74.7 51.0 120.2 Fig. 3. Relationship between SOM content and spring barley yield (Maž. Vankiai village, Šilalė District) Fig. 4. Relationship between SOM content and spring barley yield (Žemaičiai Uplands, Šilalė and Telšiai Districts) the severely (S5) and slightly (S2) eroded slopes, respectively. The humic layer of soil in the wood and deposited soil horizon on the foot-slope was rich in SOM (9.52 and 5.71–7.56%, respectively). The deeper soil horizons had little SOM (only 0.08–0.36%) on eroded slopes, but higher contents (even 7.46–7.56%) on colluvial foot-slope deposits. SOM content was 1.72–3.12% on the other non-eroded plots of Eutric Albeluvisols on the top of hills. On moderately and severely eroded soil on the slopes, SOM values were only 1.12–2.04% and 1.48– 2.33% SOM, respectively (Table 3). decreased by 45.9 and 67.0% on the slightly and moderately eroded slopes, respectively, compared with yields on flat land. The percentage of SOM on different landscape positions strongly correlated with average barley yield (r = 0.889 ± 0.145; P < 0.001; n = 12). The paired regression between the same characteristics of %SOM and spring barley yield show strong relationships (r2 = 0.791; P < 0.001; n = 12) according to the linear equation in Fig. 3. The area of transect S was only moderately steep, with no slopes >10°. The more representative results are presented in Table 5. Barley yield decreased there by 21.7, 39.7 and 62.4%, on the slightly, moderately and severely eroded slopes, respectively, compared with yield on flat land. Crop yield was negatively correlated (r2 = 0.790, P < 0.001, n = 138) with erosion severity (Jan- SOM and fertility of eroded soil The changed properties of eroded arable topsoil on the area of landscape transect S decreased soil fertility, as indicated by spring barley yields (Table 4). Barley yield Relationships between soil organic matter content and soil erosion severity in Albeluvisols... kauskas, Fullen, 2002) and strongly positively correlated (r = 0.922 ± 0.044; P < 0.001, n = 80) with SOM%. These findings accord with the literature (e.g., Morgan, 1995; Fullen, Catt, 2004; Evans, 2005; Piccarreta et al., 2006). Analogous results were found in relative SOM contents on the same plots (Table 6). SOM content decreased by 11.7, 25.3 and 49.0%, on the slightly, moderately and severely eroded slopes, respectively, compared with SOM content on adjacent flat land. The decreasing amounts of SOM can be considered a potential source of CO2, thus contributing to atmospheric greenhouse gases. Of course, some lost SOM will contribute to colluvial sediments. Percentage SOM in the differently eroded soils of the Žemaičiai Uplands was strongly correlated (r = 0.922 ± 0.044; P < 0.01, n = 80) with spring barley yield. Paired regression between SOM content and spring barley yield showed strong linear relationships (Fig. 4). CONCLUSIONS 1. The estimated thickness of lost soil was £0.78 m on very severely eroded Eutric Albeluvisols on the undulating topography of the Žemaičiai Uplands. This loss was a combined result of natural and accelerated (tillage, water and wind) erosion. The strongest correlation– regression (r2 = 0.92, P < 0.001, n = 72) between erosion severity and slope steepness was best expressed as a quadratic equation. 2. Changes in soil erosion severity changed ecological conditions for plant growth, and this was reflected in changed soil fertility. Barley yield on strongly, moderately and severely eroded soils decreased by 21.7, 39.7 and 62.4%, respectively, while soil organic matter content decreased by 11.7, 25.3 and 49.0%, respectively, using adjacent non-eroded flat land as a control. 3. The content of soil organic matter in differently eroded soils of the Žemaičiai Uplands strongly correlated (r = 0.922 ± 0.044; P < 0.001, n = 80) with spring barley yield. There was a very strong evidence of inverse relationships between soil erosion severity and the quantity of organic matter in eroded soils (i.e. the more soil is eroded the less SOM it contains). Therefore, all measures leading to increased SOM content can be considered to assist soil conservation. 4. These results demonstrate the need for soil conservation measures on arable undulating environments in Lithuania. Therefore, research data and experience of soil conservation practices on the undulating relief of the Republic are very important for sustainable agricultural development. ACKNOWLEDGEMENT Part of this research represents the international COST 634 Programme and was supported by the Lithuanian State Science and Studies Foundation (contracts V-31 27 and V-26/2006) to whom authors gratefully acknowledge financial assistance. Received 29 May 2006 Accepted 11 November 2006 References 1. Arriaga F. 2003. Soil physical properties and crop productivity of an eroded soil amended with cattle manure. Soil Science. Vol. 168/12. P. 888–899. 2. Boyle M. 2002. Erosion’s contribution to greenhouse gases. Erosion Control. Features. January / February. P. 21– 29. 3. Bundinienė O., Paukštė V. 2002. Lietuvos žemdirbystės instituto bandymų stoties veikla 1960–2000 m. Žemės ūkio mokslai. Nr. 4. P. 45–53. 4. Clower A. G., Scarisbrick D. H. 2001. Practical Statistics and Experimental Design for Plant and Crop Science. Chichester: John Wiley & Sons Ltd. 332 p. 5. Egner H., Riehm H., Domingo W. R. 1960. Untersuchungen über die chemische Bodenanalyse als Grundlage für die Beurteilung des Nährstoffzustandes der Böden. II. Chemische Extraktionsmethoden zur Phosphor- und Kaliumbestimmung. Kgl. Lantbruskögsk. Bd. 26. S. 199–215. 6. Evans R. 2005. Monitoring water erosion in lowland England and Wales – a personal view of its history and outcomes. CATENA. Vol. 64. Iss. 2–3. P. 142–161. 7. FAO/UNESCO. 1994. Soil Map of the World, Revised Legend with Corrections. Wageningen: ISRIC, The Netherlands. 119 p. 8. Fullen M. A., Catt J. A. 2004. Soil Management: Problems and Solutions. London: Arnold. 269 p. 9. Jankauskas B. 1996. Dirvožemio erozija. Vilnius: Margi raštai. 168 p. 10. Jankauskas B., Jankauskiene G. 2003. Erosion-preventive crop rotations for landscape ecological stability in upland regions of Lithuania. Agriculture, Ecosystems & Environment. Vol. 95. P. 129–142. 11. Jankauskas B., Fullen M. A. 2002. A pedological investigation of soil erosion severity on undulating land in Lithuania. Canadian Journal of Soil Science. Vol. 82. No. 3. P. 311–321. 12. Jankauskas B., Kiburys B. 2000. Water erosion as a consequence of tillage erosion on the hilly relief of Lithuania. ESSC Newsletter. No. 3+4. P. 3. http://slide.giub. uni-bonn.de/Events/ESSC/ 13. Jenny H. 1989. Soil Resources: Origin and Behavior. New York: Springer-Verlag. 377 p. 14. Kiburys B. 1989. Dirvožemio mechaninė erozija. Vilnius: Mokslas. 174 p. 15. Lal R., Kimble J. M., Follett R. F., Stewart B. A. 1998. Soil Processes and the Carbon Cycle. Boca Raton, Florida: CRC Press. 609 p. 16. Morgan R. P. C. 1995. Soil Erosion & Conservation. Harlow, U. K.: Longman. 198 p. 17. Pajarskaitė A. 1965. Eroduoti dirvožemiai. Lietuvos TSR dirvožemiai. Vilnius: Mintis. P. 347–367. 28 Benediktas Jankauskas, Genovaitė Jankauskienė, Michael A. Fullen 18. Piccarreta M., Capolongo D., Boezni F., Bentivenga M. 2006. Implications of decadal changes in precipitation and land use policy to soil erosion in Basilicata, Italy. CATENA. Vol. 65. Iss. 2. P. 138–151. 19. Tarakanovas P., Raudonius S. 2003. Agronominių tyrimų duomenų statistinė analizė taikant kompiuterines programas ANOVA, STAT, SPLIT-PLOT iš paketo SELEKCIJA ir IRRISTAT. Kaunas: LŽŪU leidybos centras. 57 p. 20. USDA. 1995. Primary Characterization Data. Soil Survey Laboratory Information Manual. National Soil Survey Center. Soil Survey Laboratory. Lincoln, Nebraska. P. 9–133, 222–223. 21. Бельчикова Н. П. 1975. Определение гумуса по методу И. В. Тюрина. Агрохимические методы исследования почв (под ред. Соколова А. В., Аскинази Д. Л.). Москва: Наука. C. 45–58. 22. Орлов Д. С., Гришина Л. А. 1981. Практикум по химии гумуса. Москва: МГУ. 234 с. 23. Шведас А. Й. 1974. Закрепление почв на склонах. Ленинград: Колос. 183 с. 24. Янкаускас Б. 1993. Попытки совершенствования методики определения степени эродированности холмистых дерново-подзолистых почв. Ekologija. Nr. 4. P. 47–53. Benediktas Jankauskas, Genovaitė Jankauskienė, Michael A. Fullen ŽEMAIČIŲ AUKŠTUMOS BALKŠVAŽEMIŲ ORGANINĖS MEDŽIAGOS PRIKLAUSOMYBĖ NUO DIRVOŽEMIO NUARDYMO LAIPSNIO Santrauka Išanalizuotas siauras ekologijos klausimas: gamtinių ir antropogeninių faktorių veikiamo kalvoto reljefo dirvožemio santykis su gyvybiškai svarbia jo dalimi – stabilia organine medžiaga humusu, o per ją ir su augalais, kaip labiausiai dirvožemio formavimąsi lemiančiais gyvaisiais organizmais. Aprašoma, kaip vertinti bendrą dirvožemio netektį dėl natūraliosios (geologinės) ir pagreitintosios Lietuvos pasotintųjų balkšvažemių erozijos ir nustatyti dirvožemio erozijos įtaką jo organinių medžiagų kaitai. Dirvožemio nuardymo laipsnio įvertinimas padeda suprasti, kuriuos kraštovaizdžio segmentus, jautriausius ardymui, reikia apsaugoti. Dirvožemio nuardymo laipsnio vertinimo veiksniai apima egzistuojančias dirvožemio horizontų liekanas, faktinį šlaito statumą ir apskaičiuotą dėl erozijos netekto dirvožemio sluoksnio storį. Nustatytasis netekto dirvožemio sluoksnio storis banguotame Žemaičių aukštumos kraštovaizdyje kito nuo 0,1 iki 0,8 m. Netekto dirvožemio sluoksnis didėjo didėjant šlaito nuolydžiui, todėl natūralusis dirvožemio derlingumas mažėjo 21,7, 39,7 ir 62,4% atitinkamai 2–5o, 5–10o ir 10–15o šlaitų nuolydžiams, lyginant su nenuardyto dirvožemio derlingumu lygumoje. Augintų augalų produktyvumas glaudžiai koreliavo (r = 0,922 ± 0,044; P < 0,001, n = 80) su dirvožemio organinės medžiagos kiekiu ir buvo atvirkščiai proporcingas (r2 = 0,79, P < 0,001, n = 138) šlaito statumui ir dirvožemio nuardymo laipsniui. Todėl visos priemonės, padedančios kaupti dirvožemio organines medžiagas, kartu yra ir antierozinės priemonės. Raktažodžiai: kalvotas kraštovaizdis, dirvožemio erozijos intensyvumas, dirvožemio organinės medžiagos, augalų produktyvumas