On the Soil Properties in the Transitional Region of Steppe- and Brown Forest Soil in Manchuria

1940 ◽  
Vol 16 (9) ◽  
pp. 809-812
Author(s):  
R. KAWASHIMA ◽  
G. SUYAMA
2010 ◽  
Vol 7 (3) ◽  
pp. 1133-1142 ◽  
Author(s):  
K. Tamai

Abstract. Soil respiration rates were measured along different parts of a slope in (a) an evergreen forest with common brown forest soil and (b) a deciduous forest with immature soil. The effects of soil temperature, soil moisture and soil properties were estimated individually, and the magnitudes of these effects in the deciduous and evergreen forests were compared. In the evergreen forest with common brown forest soil, soil properties had the greatest effect on soil respiration rates, followed by soil moisture and soil temperature. These results may be explained by the fact that different soil properties matured within different environments. It can be argued that the low soil respiration rates in the low parts of the slope in the evergreen forest resulted from soil properties and not from wet soil conditions. In the deciduous forest, soil respiration rates were more strongly affected by soil moisture and soil temperature than by soil properties. These effects were likely due to the immaturity of the forest soil.


2021 ◽  
Vol 70 (1) ◽  
pp. 45-64
Author(s):  
Kocsis Mihály ◽  
Menyhárt László ◽  
Benő András És ◽  
hermann Tamás

Vizsgálatunk célja az volt, hogy egy Somogyban elhelyezkedő, dombvidéki mintaterület szántóin elemezzük a mért talaj-vezetőképesség (EC) értékek és lehatárolt termőhelyi (művelési) zónák talajtulajdonságai közötti összefüggéseket. A vizsgált szántóterületek löszön kialakult, típusos Ramann-féle barna erdőtalajon és karbonátos csernozjom barna erdőtalajon helyezkednek el. Feltalajuk döntően vályog és agyagos vályog fizikai féleségű. A talaj vezetőképességét 50 és 100 cm-es talajmélységben mértük.A mintaterület talajadatait térinformatikai állományba foglaltuk, az adatok rendezését és azok összekapcsolását az ESRI ArcGIS 10.0 programmal végeztük el. A táblák heterogenitását mutató laboratóriumi talajvizsgálatok eredményeit a mért EC értékekkel összevetettük, amelyhez az IBM SPSS Statistics 20 szoftver segítségével stepwise-típusú lineáris regressziót alkalmaztunk. A regressziókat a talajvizsgálatok csoportosításával megegyezően: alap („a” eset), bővített („b” eset) és teljeskörű („c”eset) alapján futtattuk le. A számításoknál az „a” eset a talajtulajdonságokat meghatározó fontosabb talajparaméterek (kötöttség, humusz- és mésztartalom, kémhatás), a „b” eset az alap talajparamétereket és a makro tápanyagok (NPK ellátottságot), valamint a „c” eset az előző kettőt és mikro tápanyagok (Mg2+, Na+, Zn2+, Cu2+, Mn2+, SO42–, Fe2+ + Fe3+) körét jelenti.A különböző csoportosításban elvégzett elemzések során arra voltunk kíváncsiak, hogy a vizsgálati talajparaméterek körének változtatásával szorosabb kapcsolatokat találunk-e a mért átlagos EC értékek és a talajtulajdonságok között. Az eredményeink által kaphatunk-e olyan kellő pontosságú és megbízhatóságú becslőmodellt, amely a talajok térbeli heterogenitását megmutatja az EC értékek alapján, így a módszer nagyban meggyorsíthatja és leegyszerűsítheti a „hagyományos” talajvizsgálatokhoz képest a termőhelyi zónák elkülönítését.A vizsgálati eredményeink alapján elmondható, hogy mindhárom regressziós csoportosítás esetén a tengerszint feletti magasság csökkenésével arányosan nő a talaj-vezetőképesség, illetve az EC értékek növekedésével nő a talajok kötöttsége, amellyel együtt növekszik az agyagtartalom is. Ez a folyamat 100 cm-es talajmélységben a nagyobb víztartalom miatt erőteljesebben jelentkezik, mint az 50 cm-es talajmélységben. A termőhelyi zónák termékenységi viszonyait az elsődleges talajtulajdonságokon, illetve a makro és a mikro tápanyag-ellátottságokon kívül a domborzati viszonyok is módosíthatják. A talajellenállás mérése bárki számára elérhető, gyors és egyszerű módszer. A laboratóriumi talajvizsgálatokat kiegészítve alkalmas arra, hogy a precíziós növénytermesztésben segítséget nyújtson a termőhelyi zónák lehatárolásában.Our aim was to analyse the relationships between the measured soil electrical conductivity (EC) and the soil properties of different delimited production (tillage) zones in a hillside sample area situated in Somogy county. The examined arable lands are situated in typical Ramann-type brown forest soil and chernozem-brown forest soil mostly with loam and clay loam formed on loess. For the investigations, two soil resistance values (measured at 50 cm and 100 cm depth) were used.Soil data of the sample area were incorporated into a GIS file, the ordering and connection of the data was performed by ESRI ArcGIS 10.0 program. The results of the soil laboratory tests (which show soil heterogeneity) were correlated to the measured EC-values with stepwise linear regression using IBM SPSS Statistics 20 software. The regression were run in line with the alignment of soil investigations: basic (case „a”), extended (case „b”) and completed (case „c”). By the calculations, case „a” means the group of the most important soil parameters which are determinative soil characteristics (upper limit of plasticity or KA, humus-, lime content, pH), case „b” means the previous one plus the group of macronutrients (NPK-content), while case „c” means case „b” plus the group of micronutrients (Mg2+, Na+, Zn2+, Cu2+, Mn2+, SO42–, Fe2+ + Fe3+).With the analyses made in different alignments our aim was to determine whether with the changing of examined soil parameters there will be tighter relationships between the measured EC-values and soil properties. Further aim was to examine whether it is possible to make a properly accurate and reliable estimation model, which can show the real soil circumstances (spatial heterogeneity of soils) based on EC-values, since this method can accelerate and simplify the separation of productivity zones compared to the conventional soil examinations.Based on the results it can be concluded that in case of all the three regression groups the electrical conductivity increases proportionally with the decreasing of elevation. Besides, with the increasing of EC-values the KA – and with it, the clay content also – increases. This process develops in a more significant way in the depth of 100 cm than in 50 cm because of the higher water content. Besides the primary soil characteristics and the amount of macro- and micronutrients, the fertility conditions of the production zones can be affected by the geographical circumstances as well. The measurement of soil resistance is a fast, easy and generally available method, which is suitable – with the completion of laboratory examinations – for giving assistance to delineate the production zones in the precision crop production.


2002 ◽  
Vol 51 (4) ◽  
pp. 269-279 ◽  
Author(s):  
Shin-ichi YAMASAKI ◽  
Shoji HIRAI ◽  
Masataka NISHIKAWA ◽  
Yoshinori TAKATA ◽  
Akira TSURUTA ◽  
...  

2021 ◽  
Vol 106 ◽  
pp. 103346
Author(s):  
Ladislav Holik ◽  
Valerie Vranova ◽  
Lenka Foltynova ◽  
Manuel Acosta

1940 ◽  
Vol 16 (2) ◽  
pp. 125-128
Author(s):  
A. KAWASHIMA ◽  
G. SUYAMA

2008 ◽  
Vol 129 (1) ◽  
pp. 15-24 ◽  
Author(s):  
A. Pérez-Bejarano ◽  
J. Mataix-Solera ◽  
R. Zornoza ◽  
C. Guerrero ◽  
V. Arcenegui ◽  
...  

2018 ◽  
Author(s):  
Jörg Niederberger ◽  
Martin Kohler ◽  
Jürgen Bauhus

Abstract. Repeated, grid-based forest soil inventories such as the nationwide German forest soil survey (GFSI) aim, among other things, at detecting changes in soil properties and plant nutrition. In these types of inventories, the only information on soil phosphorus (P) is commonly the total P content. However, total P content in mineral soils of forests is usually not a meaningful variable to predict the availability of P to trees. Here we tested a modified sequential P extraction ac-cording to Hedley to determine the distribution of different plant available P fractions in soil samples (0–5 and 10–30 cm depth) from 146 GFSI sites, capturing a wide variety of soil conditions. In addition, we analyzed relationships between these P fractions and common soil proper-ties such as pH, texture, and organic Carbon content (SOC). Total P content among our samples ranged from approximately 60 up to 2800 mg kg−1. The labile, moderately labile, and stable P fractions contributed to 27 %, 51 % and 22 % of total P content, respectively, at 0–5 cm depth. At 10–30 cm depth, the labile P fractions decreased to 15 %, whereas the stable P fractions in-creased to 30 %. These changes with depth were accompanied by a decrease in the organic P fractions. High P contents were related with high pH-values. Whereas the labile P pool increased with decreasing pH in absolute and relative terms, the stable P pool decreased in absolute and relative terms. Increasing SOC in soils led to significant increases in all P pools and in total P. In sandy soils, the P content across all fractions was lower than in other soil texture types. Multiple linear regressions indicated that P pools and P fractions were moderately well related to soil properties (r2 mostly above 0.5), and sand content of soils had the strongest influence. Foliage P concentrations in Pinus sylvestris were reasonably well explained by the labile and moderately labile P pool (r


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