Depth distribution of mineralizable nitrogen pools in contrasting soils in a semi-arid climate

Dessureault‐Rompré, Jacynthe; Zebarth, Bernie J.; Burton, David L.; Grant, C. A.

doi:10.1139/cjss-2015-0048

Cited by 13 publications

(3 citation statements)

References 51 publications

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“…Our results revealed that soil type and soil horizon had a significant interaction effect on soil TN contents (F = 3.55, p < 0.05). These results are similar to those reported by [15] who observed that the depth distribution of mineralizable N pools varied significantly among sites, and they suggested that such distribution needs to be considered in making predictions of net soil N mineralization. Mean TN content was generally higher in surface soils compared to subsurface soils (Fig.…”

Section: Discussionsupporting

confidence: 90%

Distribution of Total Nitrogen in Soils of the Tropical Highlands of Cameroon

Kome

Kips²,

Yerima

et al. 2023

Eurasian Soil Sc.

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Understanding the factors controlling soil total N (TN) is helpful in simulating N cycling at local and regional scales. This study was conducted with the aim to; (i) understand the distribution of TN in specific soil horizons (A and B horizons) of three reference soil groups: Acrisols, Cambisols and Ferralsols, common in humid tropical environments, and (ii) to identify factors controlling TN variations among the various soil groups. Twentyeight Acrisols, 21 Cambisols and 8 Ferralsols profiles spanning a wide range of precipitation gradients, vegetation type/land use and parent materials, from the Northwestern Highlands (NWH) of Cameroon were considered. Soil properties were analyzed following standard procedures. TN had very high coefficients of variation (>35%) in all the reference soil groups (RSGs), with highest mean TN (0.31±0.03%) observed in the A horizons of Acrisols and the lowest (0.05 ± 0.01%) in B horizons of Ferralsols. Variations in TN content were significantly (p < 0.05) influenced by parent material, land use type, precipitation and slope gradient. In surface (A) horizons of all the RSGs, TN correlated positively and significantly with clay (p < 0.05), silt (p < 0.01) and soil organic carbon (SOC) (p < 0.01), and negatively with sand (p < 0.01). This observation was slightly different in subsurface (B) horizons. This study provides data which contributes to a better understanding of soil fertility in tropical highlands.

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Section: Discussionsupporting

confidence: 90%

Distribution of Total Nitrogen in Soils of the Tropical Highlands of Cameroon

Kome

Kips²,

Yerima

et al. 2023

Eurasian Soil Sc.

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“…The relationships among available N and soil properties can be used across a widespread range of soils, agro‐climatic conditions (Nendel et al., 2019), and cropping systems (Clivot et al., 2017). When relationships change with depth, it is possible to estimate the distribution of mineralizable N pools at different soil depths and thus know how N availability changes throughout the soil profile (Dessureault‐Rompré et al., 2010, 2016). In this way, partial treatments and tillering show that at Day 120 of the wheat's growth period, the mineral N increased as a result of the later N application (Day 108).…”

Section: Discussionmentioning

confidence: 99%

Effect of slow‐release nitrogen on the nitrogen availability in an andisol and the critical nitrogen concentration in wheat

Clunes

Pinochet

2020

Agronomy Journal

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The use of coated fertilizers and the concept of the critical N dilution curve are alternatives capable of improving the production efficiency of wheat (Triticum aestivum L.) crops in agro-ecosystems. The objectives of this work were to evaluate the effect of a slow release urea-coated fertilizer on (i) the production of wheat's shoot biomass at the anthesis stage, (ii) the concentration of N in the shoot biomass, and (iii) the N availability in the Andisol. Two fertilizers: urea and urea-coated were evaluated using four increasing N rates and a control treatment (without fertilization), in three application strategies, during two growing seasons (late sowing [S1] and early sowing [S2]). Samples of shoot biomass and soil (0-20-cm depths) were collected at five wheat growth stages (Z21, Z31, Z39, Z45, Z69 on the Zadoks scale). The average production of shoot biomass was 10.3 t dry matter (DM) ha -1 for S2 and 7.9 t DM ha -1 for S1 and N concentrations was between 1.0-3.0%. When using a coated urea fertilizer in this Valdivian agro-ecosystem, no statistical differences (P < .05) in shoot biomass or wheat N concentrations were found at anthesis (Z69). Differences were principally between seasons. We therefore proposed a new adjustment to the dilution N curve, with a value concentration critical, N c start of 3.80%, and 4.15%, for S1 and S2, respectively. Use demand parameters such as N c adjusted to the agro-ecosystem for wheat crop, allows to rationalize the fertilization according to inorganic N available from the soil.Abbreviations: AS, all of the fertilizer was applied at sowing; AT, all of the fertilizer was applied at the end of tillering; CU, Nutrisphere-Urea; DM, dry matter; GDD, growing degree days; N c , critical nitrogen concentration; NNI, nitrogen nutrition index; S1, season 1; S2, season 2; SA, split application with one-third applied at sowing and two-thirds at the end of tillering; U, urea.

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“…Thus, modeled rates are not a perfect match with the NEON observations, which were collected from soil to 30 cm depth. However, there is a wealth of data to suggest that rates of N mineralization decline substantially with depth (Chen et al., 2019; Darby et al., 2020; Dessureault‐Rompré et al., 2016). Since it is reasonable to assume that surface soils are making a significant contribution to modeled rates, the data–model comparison should prove useful.…”

Section: Methodsmentioning

confidence: 99%

Standardized Data to Improve Understanding and Modeling of Soil Nitrogen at Continental Scale

et al. 2023

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Nitrogen (N) is a key limiting nutrient in terrestrial ecosystems, but there remain critical gaps in our ability to predict and model controls on soil N cycling. This may be in part due to lack of standardized sampling across broad spatial–temporal scales. Here, we introduce a continentally distributed, publicly available data set collected by the National Ecological Observatory Network (NEON) that can help fill these gaps. First, we detail the sampling design and methods used to collect and analyze soil inorganic N pool and net flux rate data from 47 terrestrial sites. We address methodological challenges in generating a standardized data set, even for a network using uniform protocols. Then, we evaluate sources of variation within the sampling design and compare measured net N mineralization to simulated fluxes from the Community Earth System Model 2 (CESM2). We observed wide spatiotemporal variation in inorganic N pool sizes and net transformation rates. Site explained the most variation in NEON’s stratified sampling design, followed by plots within sites. Organic horizons had larger pools and net N transformation rates than mineral horizons on a sample weight basis. The majority of sites showed some degree of seasonality in N dynamics, but overall these temporal patterns were not matched by CESM2, leading to poor correspondence between observed and modeled data. Looking forward, these data can reveal new insights into controls on soil N cycling, especially in the context of other environmental data sets provided by NEON, and should be leveraged to improve predictive modeling of the soil N cycle.

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Depth distribution of mineralizable nitrogen pools in contrasting soils in a semi-arid climate

Cited by 13 publications

References 51 publications

Distribution of Total Nitrogen in Soils of the Tropical Highlands of Cameroon

Distribution of Total Nitrogen in Soils of the Tropical Highlands of Cameroon

Effect of slow‐release nitrogen on the nitrogen availability in an andisol and the critical nitrogen concentration in wheat

Standardized Data to Improve Understanding and Modeling of Soil Nitrogen at Continental Scale

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