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Spatial cross-correlation between physicochemical and microbiological variables at superficial soil with different levels of degradation
Catena ( IF 6.2 ) Pub Date : 2020-11-03 , DOI: 10.1016/j.catena.2020.105000
Marcos Tassano , Adriana Montañez , Lucia Nuñez , Tania Trasante , Joan González , Joaquín Irigoyen , Pablo Cabral , Mirel Cabrera

Best soil management practices can be achieved by evaluating the spatial cross-correlation variability of soil microbiological and physicochemical indicators, in order to comprehend the underlying relations between these mutually dependent properties, being valuable indicators for prospective evaluation of soil resources.

The purposes of this study were to measure microbiological and physicochemical variables in superficial soil, spatially cross-correlate and determine spatial causalities between these two families of variables.

The spatial variability of pH, gravimetric soil water content, 238U, 232Th, 40K, 137Cs, acid phosphatase, dehydrogenase activity, microbial biomass carbon, mesophilic aerobic bacteria and filamentous fungi was studied at a 13 ha field located in Uruguay.

238U and 232Th were both negatively lineally correlated with gravimetric soil water content (−0.42), 137Cs (-0.45 and −0.48 respectively) and dehydrogenase activity (-0.44 and −0.48 respectively). A semivariogram analysis revealed that the best fit model for soil variables was spherical, with moderate to strong spatial dependence. Cross-correlation results suggest that there is an influence factor from spatial interaction. In this sense, gravimetric soil water content connects physicochemical variables with soil biodiversity. Spatially, soil water content is inversely influenced by 232Th and 238U (as indicators of sub-superficial soil), and directly influenced by dehydrogenase activity (indicator of soil microbial activity), revealing soil microbial activity as a possible indicator of water retention in drying soils. The combination of spatial patterns of environmental radionuclides with microbiological indicators of soil quality could represent a valuable integrated approach to assess soil conservation status and further explain the impact of anthropogenic disturbance.



中文翻译:

不同降解水平下表层土壤理化与微生物变量之间的空间互相关

可以通过评估土壤微生物和理化指标的空间互相关变异性来实现最佳土壤管理实践,以便理解这些相互依赖的特性之间的潜在关系,这是对土壤资源进行前瞻性评估的宝贵指标。

这项研究的目的是测量表层土壤中的微生物和理化变量,在空间上相互关联并确定这两个变量家族之间的空间因果关系。

在乌拉圭一个13公顷的田地上研究了pH值,土壤重量,238 U,232 Th,40 K,137 Cs,酸性磷酸酶,脱氢酶活性,微生物量碳,中温需氧细菌和丝状真菌的空间变异性。

238 U和232 Th与重量土壤水含量(-0.42),137 Cs(分别为-0.45和-0.48)和脱氢酶活性(分别为-0.44和-0.48)呈负线性相关。半变异函数分析表明,土壤变量的最佳拟合模型是球形,具有中等到强烈的空间依赖性。互相关结果表明,存在空间相互作用的影响因素。从这个意义上讲,重量土壤水分将物理化学变量与土壤生物多样性联系起来。在空间上,土壤水分受232 Th和238的反作用U(作为表浅土壤的指标),并直接受脱氢酶活性(土壤微生物活性指标)的影响,表明土壤微生物活性可能是干燥土壤中保水的指标。环境放射性核素的空间模式与土壤质量的微生物学指标的结合可能是评估土壤保护状况并进一步解释人为干扰影响的有价值的综合方法。

更新日期:2020-11-04
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