Spatial distribution of soil chemical properties in an organic farm in Croatia

Bogunović, Igor; Pereira, Paulo; Brevik, Eric C.

doi:10.1016/j.scitotenv.2017.01.062

Cited by 105 publications

(56 citation statements)

References 90 publications

(88 reference statements)

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“…Phosphorus is an essential element for plant growth, and application of P-fertilizers is needed to overcome the deficiency of phosphorus in arable soils 43 . Spatial autocorrelation was low for soil AP in farmlands 44 . The random distribution of phosphorus indicated that fertilization history might still have impacts on soil phosphorus at the initial restoration stage after agricultural abandonment.…”

Section: Discussionmentioning

confidence: 89%

Lateral heterogeneity of soil physicochemical properties in riparian zones after agricultural abandonment

Xia

Kong

Li³

et al. 2018

Sci Rep

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The study aimed to identify the lateral heterogeneity of soil physicochemical properties in riparian zones, and its underlying drivers during natural restoration after agricultural abandonment. Abandoned farmlands, after 5-year natural restoration, within 500 m from the edges on both sides of Liaohe River were selected as the study area. Soil physicochemical properties of four lateral buffers (<10 m, 10~100 m, 100~300 m, and >300 m from river edge, respectively) along riparian zones were measured. The results showed that riparian soils were characterized by high sand content (78.88%~96.52%) and poor soil nutrients. Soil silt content, organic carbon (OC), cation exchange capacity (CEC), total nitrogen (TN), and available nitrogen (AN) increased laterally with increasing distance from river edge, while soil sand content decreased. Total phosphorus (TP) and available phosphorus (AP) are not spatially autocorrelated. Soil OC, TN, AN, and CEC along upstream and midstream reaches showed negative spatial autocorrelation along the lateral gradients, and positive along downstream reach. Altitude, distance from river edge and distance from nearest farmland were the pronounced factors affecting soil physicochemical properties in this study.

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Section: Discussionmentioning

confidence: 89%

Lateral heterogeneity of soil physicochemical properties in riparian zones after agricultural abandonment

Xia

Kong

Li³

et al. 2018

Sci Rep

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“…Soil properties exhibited low (only soil pH) to moderate (rest of soil properties) variability with <10, 10 to 100 and > 100% of CV values indicating variability to the extent of low, moderate, and high degree, respectively (Nielsen & Bouma, ). Bogunovic et al () reported low, medium, and high variability for pH, organic matter, and EC, respectively in soils of Rasa river valley of Croatia. Behera and Shukla () reported low (for pH and EC) to moderate (for SOC content) variability in Indian acid soils.…”

Section: Resultsmentioning

confidence: 99%

“…Since soils are highly heterogeneous and distribution of soil properties (Behera & Shukla, ; Bogunovic, Pereira, & Brevik, ) and Zn, Fe, Cu, and Mn concentrations in soils varies spatially (Fageria et al, ; Pereira & Ubeda, ; Shukla et al, ; Shukla et al, ), blanket application of these nutrients leads to imbalanced addition of Zn, Fe, Cu, and Mn (Ferguson, Lark, & Slater, ). Thus, the balanced and site‐specific management through varied nutrient application rate holds the key for economically sustainable agricultural production (Behera et al, ; Tesfahunegn, Tamene, & Vlek, ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of spatial distribution and regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India

et al. 2018

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Emerging micronutrient deficiencies in different soils of the world is a threat for sustainability of agriculture. As distribution of micronutrients in soil varies spatially, site‐specific management of micronutrients by delineating regional zones (RZs) is an effective strategy for precision agriculture. The current investigation was performed to delineate RZs in a Deccan Plateau Region (DPR) of India by considering spatial variability of some soil properties and available micronutrients for efficient management of micronutrients. Altogether, 4,939 representative soil samples (with geographical coordinates) from surface (0–0.15 m depth) layers were obtained from Telangana state lying in DPR of India. After processing, soil samples were analysed for pH, electrical conductivity, soil organic carbon and available zinc, copper, iron, and manganese. Soil pH, electrical conductivity, and soil organic carbon content had mean values of 7.48 ± 0.95, 0.42 ± 0.22 dS/m and 0.48 ± 0.17%, respectively. Whereas, the mean values of available zinc, iron, copper, and manganese concentrations were 0.83 ± 0.36, 8.79 ± 4.15, 0.99 ± 0.43, and 8.79 ± 4.06 mg/kg, respectively. Geostatistical analysis divulged different distribution pattern of soil properties and available micronutrients with strong to moderate spatial dependency. The four principal components (with >1 eigenvalue) responsible for 73% of total variance were considered for analysis. Six RZs from the study area were created through geostatistical, principal component, and clustering analysis. The measured soil properties and available micronutrients in the RZs varied significantly highlighting the usefulness of RZ delineation technique for precise micronutrients management in DPR of India.

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“…Owing to different climatic variables, parent materials, soil texture, topography, and vegetation types, nutrients are distributed heterogeneously in soils and their contents vary highly both spatially and temporally, especially in forest areas (Wang et al, 2009;Liu et al, 2013b;Bogunovic et al, 2017;Guan et al, 2017). In recent years, several studies have dealt with the spatial variability of soil pH (Fu et al, 2010;Liu et al, 2013a), organic carbon (C) (Lal, 2005;O'Rourke et al, 2015;, electrical conductivity (EC) (Bogunovic et al, 2017), and N and P contents (Wang et al, 2009;Fu et al, 2010;Liu et al, 2013b).…”

Section: Introductionmentioning

confidence: 99%

“…Unsus-tainable forest management practices decrease soil nutrient content and organic matter, change soil structure, and restrict ecosystem-scale productivity (Martín-Peinado et al, 2016;Ade et al, 2018). The application of N-rich fertilizers results in soil acidification in forestlands (Guo et al, 2010), reducing the availability of essential elements for plant growth (Zhang et al, 2005), and producing potential risks for human health (Martín-Peinado et al, 2016;Bogunovic et al, 2017). Furthermore, frequent and intense soil irrigation in plantations may increase salt concentration in surface soil (Liu et al, 2013a;Zhu et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of soil nutrients in forest areas: A case study from subtropical China

Dai

et al. 2018

J. Plant Nutr. Soil Sci.

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Soil nitrogen (N), phosphorus (P), potassium (K), and pH are important determinants and indicators of soil fertility and quality. Especially in forest, these soil properties are highly variable in space and time. However, more information on these properties in subtropical forests is needed to improve soil nutrients management and to sustain the productivity of subtropical forests. We collected a total of 838 forest topsoil samples (0–30 cm in depth) based on a 4‐km (E‐W) × 6‐km (S‐N) grid system in subtropical China. Geostatistics (i.e., global and local Moran's I) and geographical information system (GIS) techniques were applied to reveal the spatial distribution of N, P, and K contents and pH in subtropical forest soils. All the measured properties were highly variable. Soil N contents ranged from 9.55 mg kg−1 to 862.40 mg kg−1, P contents from 0.10 mg kg−1 to 195.40 mg kg−1, K contents from 10.00 mg kg−1 to 390.00 mg kg−1, and pH values from 2.69 to 8.09. The soil N, P and K contents correlated positively with soil organic carbon (SOC), while soil pH correlated negatively with SOC (P < 0.05). Global Moran's I revealed that soil N, P, and K contents and pH had significant positive spatial autocorrelations, and clear spatial patterns were identified based on local Moran's I. An exponential model was the best fitted model for soil N, P, K contents and pH. Spatial dependence was moderate for all studied soil variables, indicating that both intrinsic and extrinsic factors played a vital role in spatial heterogeneity. Distribution maps showed that soil N and K had similar spatial distribution patterns: a low value area surrounded by bands of higher values. A large‐scale low content area was observed in the spatial distribution map of soil P. An opposite trend was found for the spatial pattern of soil pH. The spatial distribution maps provide useful information for sustainable forest and environment management in subtropical China.

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Spatial distribution of soil chemical properties in an organic farm in Croatia

Cited by 105 publications

References 90 publications

Lateral heterogeneity of soil physicochemical properties in riparian zones after agricultural abandonment

Lateral heterogeneity of soil physicochemical properties in riparian zones after agricultural abandonment

Evaluation of spatial distribution and regional zone delineation for micronutrients in a semiarid Deccan Plateau Region of India

Spatial variability of soil nutrients in forest areas: A case study from subtropical China

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