松嫩平原土壤物理性质与其它土壤肥力相关指标相关关系研究
首发时间:2014-04-25
摘要:本文以松嫩平原的144个样地、720个土壤样品为研究材料,旨在研究松嫩平原土壤物理性质与土壤肥力相关指标的相关关系。其中土壤物理指标4个包括土壤的比表面积、比重、容重和孔隙度,12个土壤理化及肥力相关指标包括土壤pH值、电导率、含水量、土壤有机碳(SOC)、全氮(N)、碱解氮(N)、全钾(K)、速效钾(K)、全磷(P)、速效磷(P)、易提取球囊霉素相关土壤蛋白(EEG)和总提取球囊霉素相关土壤蛋白(TG)。相关性分析结果显示:(1)物理指标之间存在较高的自相关性,如土壤比重与土壤孔隙度的正相关程度最强(R2=0.64,slope=20.15),土壤容重与土壤孔隙度的负相关程度最强(R2=0.25,slope=- 37.7)。(2)土壤的比表面积与15个指标中的9个显著正相关,其中与土壤含水量的相关性最强(R2=0.24,slope=0.08),土壤比表面积与土壤pH值的负相关程度最强(R2=0.12,slope=- 0.008)。(3)土壤比重与15个指标中的2个显著正相关(p<0.05),与土壤其余13个指标不相关。(4)土壤容重与15个指标中的11个显著负相关(p<0.05),土壤容重与土壤全K含量正相关程度最强(R2=0.04,slope=25.91)(p<0.05)。(5)土壤的孔隙度与土壤其余15个指标中的9个显著正相关(p<0.05),与其它6个指标负相关或不相关。上述结果的显著相关性表明土壤物理性质在调节土壤肥力及理化指标方面非常重要,在今后本地区土壤退化研究中应该更加强调土壤物理性质,特别是土壤容重、孔隙度和比表面积等相关研究。?????
关键词: 土壤物理性质 土壤理化指标 土壤肥力指标 回归分析
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Correlations between soil physical properties and other parameters related to soil fertility in Songnen Plain, northeastern China
Abstract:This study selected 144 soil profiles, 720 soil samples from different regions of Songnen Plain as the research materials, the aim is to find possible correlation between soil physical properties and other parameters related with soil fertility. 4 soil physical parameters of soil specific surface area, soil specific gravity, soil bulk density and soil porosity were measured, we also measured 12 parameters related with soil fertility and soil physic-chemical properties including soil pH, soil electrical conductance (EC), soil water content, soil organic carbon (SOC), total nitrogen (N), alkali-hydrolyzed nitrogen, total potassium (K), available potassium, total phosphorus (P), available phosphorus, easily extracted Glomalin-Related Soil Protein (EEG) and total Glomalin-Related Soil Protein (TG). Following conclusion were derived from regression analysis: (1) Higher autocorrelation among 4 physical parameters were observed, for example, strongest positive correlation was observed between soil specific gravity and soil porosity (R2=0.64,slope=20.15). The strongest negative correlation was between soil bulk density and soil porosity(R2=0.25,slope=- 37.7). (2) Soil specific surface area was positively correlated with 9 out of the 15 parameters, and the strongest positive correlation was observed in soil water content(R2=0.24,slope=0.08). The strongest negative correlation was observed between soil specific surface area and soil pH(R2=0.12,slope=- 0.008). (3) Soil specific gravity was positively correlated with 2 out of the 15 parameters(p<0.05). There was non-correlations between the other 13 parameters and soil specific gravity. (4) Soil bulk density was negatively correlated with 11 out of the 15 parameters(p<0.05). The most significant positive correlation was found between soil bulk density and potassium (R2=0.04,slope=25.91) (p<0.05). (5) 9 of the 15 soil parameters were positively correlated with soil porosity (p<0.05), while others did not or negatively correlated with soil porosity. The significant correlations found in present paper indicates that soil physical properties are important in regulating soil fertility and soil physic-chemical properties, and soil physical properties tested in present paper (soil bulk density, soil porosity and soil specific surface area) should be highlighted in the study of soil degradation in Songnen Plain in the future.?????
Keywords: soil physical properties soil physic-chemical parameters soil fertility parameters regression analysis?????
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