Spatial variability of soil microbial indices in common alder COMMON ALDER (Alnus glutinosa) stands using a geostatistical approach in northern Iran

Ghorbanzadeh, Neda; Salehi, Ali; Pourbabaei, Hassan; Tolarod, Ali Ashraf Soltani; Alavi, Seyed Jalil

doi:10.1007/s11676-018-0651-4

Cited by 7 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Studies on spatial variability of SOC and TN have been one of the hotspot in soil ecology in the past decades (Bonmati et al 1991;Nyamadzawo et al 2008;Liu et al 2014;Wang et al 2015;Xiong et al 2015). Different interpolation techniques, such as ordinary kriging, cokriging, and inverse distance weighting have been used for predicting the spatial distribution of soil properties Ghorbanzadeh et al 2019). Compared to other interpolation methods (e.g., cokriging), ordinary kriging is easy to conduct without additional variables, which lead to the reduction of work and does not decrease the accuracy (Tang et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Yao

Deng

et al. 2019

J. For. Res.

View full text Add to dashboard Cite

To obtain accurate spatial distribution maps of soil organic carbon (SOC) and total nitrogen (TN) in the Hetian Town in Fujian Province, China, soil samples from three depths (0-20, 20-40, and 40-60 cm) at 59 sampling sites were sampled by using traditional analysis and geostatistical approach. The SOC and TN ranged from 2.26 to 47.54 g kg -1 , and from 0.28 to 2.71 g kg -1 , respectively. The coefficient of variation for SOC and TN was moderate at 49.02-55.87% for all depths. According to the nuggetto-sill ratio values, a moderate spatial dependence of SOC content and a strong spatial dependence of TN content were found in different soil depths, demonstrating that SOC content was affected by both extrinsic and intrinsic factors while TN content was mainly influenced by intrinsic factors. Indices of cross-validation, such as mean error, mean standardized error, were close to zero, indicating that ordinary kriging interpolation is a reliable method to predict the spatial distribution of SOC and TN in different soil depths. Interpolation using ordinary kriging indicated the spatial pattern of SOC and TN were characterized by higher in the periphery and lower in the middle. To improve the accuracy of spatial interpolation for soil properties, it is necessary and important to incorporate a probabilistic and machine learning methods in the future study.

show abstract

Section: Introductionmentioning

confidence: 99%

Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Yao

Deng

et al. 2019

J. For. Res.

View full text Add to dashboard Cite

show abstract

“…Latossolos subtropicais e Matias et al (2015) e Latossolos tropicais. A adequação desse modelo está de acordo com outros estudos da literatura, sendo o mais utilizado para a descrição da variabilidade espacial dos atributos do solo (BITENCOURT et al, 2016;GHORBANZADEH et al, 2019).…”

Section: Resultsunclassified

Suscetibilidade magnética na caracterização da variabilidade espacial de atributos do solo em solos subtropicais

Ramos

Dalmolin

Moura-Bueno

et al. 2021

CeN

View full text Add to dashboard Cite

Magnetic susceptibility (MS) has been used to estimate soil attributes. With the proposal to increase the information of soils in southern Brazil the objectives of this work were: (i) evaluate the correlation of SM with soil attributes in a slope of subtropical basaltic soils; (ii) to characterize the spatial variation structure of MS and the content of sand, clay and COS; and (iii) identify the sample density that captures the spatial variability to assist future work under similar conditions. In a 22 ha area located in Santo Augusto - RS, Brazil, an 87 points sample grid was collected to determine soil attributes. Samples were also collected in five profiles along the slope. The profile data were analyzed by correlation to verify the degree of Pearson correlation of the SM with the attributes of the soil. In the sample grid spatial dependence analyzes were performed to assess the degree of spatial dependence on soil attributes. The MS presented a high correlation with the attributes of clay soil, Fes, Fed and COS. The evaluation of the spatial variation structure showed that the attributes presented a degree of spatial dependence ranging from weak for COS to strong for MS. The spatial variability pattern suggests a sample density of one point every 4 to 12 ha.

show abstract

“…In recent years, spatial approaches that integrate GIS technologies have been applied to research related to soil microbes. These methods allow for the accurate connection of field-measured microbial information with environmental parameters, and enable us to better understand the factors that drive the spatial pattern of soil microbes [3,4,22].…”

Section: Introductionmentioning

confidence: 99%

Spatial Distribution and Influencing Factors of Soil Fungi in a Degraded Alpine Meadow Invaded by Stellera chamaejasme

Liu

Zhao²,

Wang

et al. 2021

Agriculture

View full text Add to dashboard Cite

Alpine meadow degradation causes a notable decrease in palatable grasses and an increase in forbs and toxic plants in recent decades. Stellera chamaejasme is one of the most serious toxic weeds, which exerts an increasing threat on alpine meadow in Qinghai–Tibetan Plateau. Combined DNA sequencing with geostatistics was applied to analyze a typical degraded meadow invaded by S. chamaejasme in Qinghai Province, China. The study aimed to determine the spatial variation of soil fungi and its interrelationship with the plant–soil environment. Alpha diversity and relative abundance of fungal phyla and classes showed moderate or strong spatial dependency and were structured in patches of 19–318 m, and taxonomic composition exhibited much higher spatial variability than alpha diversity. Compared to plant cover, the matching of patch size showed a closer spatial link between soil properties and fungal community. Community coverage, SOM, TN, TP, and TK positively correlated to fungal diversity and taxonomic composition; no direct correlation was found between S. chamaejasme coverage and fungal community. The result suggested significant but weak association between plant–soil properties and soil fungal community at local scale. Patchy pattern of S. chamaejasme may disturb spatial variations of soil properties and fungal community, since S. chamaejasme in higher coverage corresponded to lower TK content, which contributed to a decrease in fungal diversity indirectly.

show abstract

Spatial variability of soil microbial indices in common alder COMMON ALDER (Alnus glutinosa) stands using a geostatistical approach in northern Iran

Cited by 7 publications

References 17 publications

Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Spatial variability of soil organic carbon and total nitrogen in the hilly red soil region of Southern China

Suscetibilidade magnética na caracterização da variabilidade espacial de atributos do solo em solos subtropicais

Spatial Distribution and Influencing Factors of Soil Fungi in a Degraded Alpine Meadow Invaded by Stellera chamaejasme

Contact Info

Product

Resources

About