Controls on soil solution nitrogen along an altitudinal gradient in the Scottish uplands

Jackson-Blake, Leah; Helliwell, Rachel; Britton, Andrea J.; Gibbs, Sheila; Coull, Malcolm; Dawson, Lorna

doi:10.1016/j.scitotenv.2012.05.019

Cited by 18 publications

(6 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Site data locations and distributions of mean annual temperature (MAT), soil pH, nitrogen deposition in year 2000, and observed organic topsoil carbon, nitrogen, and phosphorus contents. Data are detailed in the SI, Tables S3–S5 [ Andersson et al , ; Beier et al , ; Berggren et al , ; Blaser et al , ; Bloemerts and Vries , ; Corre and Lamersdorf , ; de Vries et al , ; UKREATE , 2010; DEFRA , 2006; B A Emmett et al , ; Evans et al , ; Gundersen , ; Jackson‐Blake et al , ; Kleja et al , ; Kreutzer et al , ; Lamersdorf and Meyer , ; MacDonald et al , ; Mol‐Dijkstra and Kros , ; Parr et al , ; Pilkington et al , ; I K Schmidt et al , ; Sjøeng et al , ; J D Speed et al , ; J D M Speed et al , ; Tietema et al , ; Tipping et al , ; van Meeteren et al , ; von Oheimb et al , ; Walthert et al , ; Wright et al , ; Zimmermann et al , ].…”

Section: Methodsmentioning

confidence: 99%

Long‐term P weathering and recent N deposition control contemporary plant‐soil C, N, and P

Davies

Tipping

Rowe

et al. 2016

Global Biogeochemical Cycles

View full text Add to dashboard Cite

Models are needed to understand how plant-soil nutrient stores and fluxes have responded to the last two centuries of widespread anthropogenic nutrient pollution and predict future change. These models need to integrate across carbon, nitrogen, and phosphorus (C, N, and P) cycles and simulate changes over suitable timescales using available driving data. It is also vital that they are constrainable against observed data to provide confidence in their outputs. To date, no models address all of these requirements. To meet this need, a new model, N14CP, is introduced, which is initially applied to Northern Hemisphere temperate and boreal ecosystems over the Holocene. N14CP is parameterized and tested using 88 northern Europe plot-scale studies, providing the most robust test of such a model to date. The model simulates long-term P weathering, based on the assumption of a starting pool of weatherable P (P weath0 , g m À2 ), which is gradually transformed into organic and sorbed pools. Nitrogen fixation (and consequently primary production) is made dependent on available P. In the absence of knowledge about the spatial variability of P weath0 , N14CP produces good average soil and plant variables but cannot simulate variations among sites. Allowing P weath0 to vary between sites improves soil C, N, and P results greatly, suggesting that contemporary soil C, N, and P are sensitive to long-term P weathering. Most sites were found to be N limited. Anthropogenic N deposition since 1800 was calculated to have increased plant biomass substantially, in agreement with observations and consequently increased soil carbon pools.

show abstract

Section: Methodsmentioning

confidence: 99%

Long‐term P weathering and recent N deposition control contemporary plant‐soil C, N, and P

Davies

Tipping

Rowe

et al. 2016

Global Biogeochemical Cycles

View full text Add to dashboard Cite

show abstract

“…However, these studies are still limited to the analysis of soil nutrients themselves, and the research on soil nutrient variability combined with crop development is still very scarce. Plant growth depends on the absorption of soil nutrients, so soil nutrient variability should also cause spatiotemporal variability in plant growth status [21–24]. An analysis of the variability in soil nutrients and its correlation with crop growth will help to clarify the spatiotemporal variability of the variables in a farmland system and have positive impacts on production [25–27].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variability of soil nutrients and the responses of growth during growth stages of winter wheat in northern China

Zhao

Dong

2018

PLoS ONE

View full text Add to dashboard Cite

Studying soil nutrient variability and its effect on the growth and development of crops under a traditional tillage mode is the foundation for comprehensively implementing precision agriculture policies at the field scale and ensuring excellent crop management. In this paper, a 28.5 hm2 winter wheat field under the traditional cultivation model in Tianzhuang town of Huantai County was selected as the research area. The mesh point method was utilized for sampling (60×60 m), and the characteristics of soil available nitrogen (AN), available phosphorus (AP) and available potassium (AK) variations in the before sowing, reviving, jointing, and filling stages of winter wheat were analyzed using geostatistical and GIS methods. Moreover, Pearson correlation analysis was used to study the response of wheat growth and development to soil nutrient variations. As the growth stages progressed, 1) each nutrient showed the characteristics of low-high-low and moderate variability. The highest AN and AK contents were found at the reviving stage, while AP reached a turning point at the jointing stage. The order of variability of each nutrient was AN>AP>AK. 2) The nutrient variations first increased and then decreased and showed medium to strong spatial correlation. The three nutrients were strongly spatially correlated in the before sowing stage and moderately spatially correlated during the reviving stage. During the jointing and filling stages, AN had moderate spatial correlation, and AP and AK had strong spatial correlation. The spatial correlation of each nutrient was the weakest in the reviving stage, and the spatial correlation of AN was strongest in the before sowing stage, while the spatial correlations of AP and AK were strongest in the jointing stage. The spatial correlation of each soil nutrient decreased from the before sowing stage to the reviving stage and from the jointing stage to the filling stage, and the spatial correlation increased from the reviving stage to the jointing stage. 3) The soil nutrient content first increased and then decreased, and the grades of the nutrients gradually decreased. 4) The correlation between soil nutrients and wheat growth gradually increased. AN had the highest correlation with wheat growth, followed by AK and AP. The effect of soil nutrients on the growth of wheat at the reviving stage was greater than the effect of nutrients in the current stage. The growth of wheat at the jointing stage was mainly influenced by nutrients in the current stage, while the growth of wheat at the filling stage was influenced by the nutrient contents of both the previous and current stages. Thus, the date of fertilizer supplementation should be postponed properly. In this study, the soil nutrient dynamics and their influence on the growth of wheat during the winter wheat growth period under the traditional field model were well described, and these results could provide a theoretical basis for the precision management of soil nutrients in the northern winter wheat area where the planting environment ...

show abstract

“…1c, d and 2). This likely happened because of the mineralization of soil organic matter by microorganisms into less complex and more soluble forms of DON (Jämtgård et al 2010;Jackson-Blake et al 2012;Warren 2014). The highest DOC and DON concentrations found in the soil solution of PL, CS, and PS treatments (Figs.…”

mentioning

confidence: 95%

Nitrogen Availability and Physiological Response of Corn After 12 Years with Organic and Mineral Fertilization

Marchezan

Ferreira

Silva

et al. 2020

J Soil Sci Plant Nutr

View full text Add to dashboard Cite

The study aimed to evaluate the effects of long-term organic and mineral fertilization on soil solution dynamics of nitrogen (N), as well as to understand its relationship with corn plant growth, plant N uptake, and grain yield. The study was conducted in Santa Maria, State of Rio Grande do Sul, Brazil, for 12 years. The treatments consisted of pig slurry (PS); cattle slurry (CS); pig deeplitter (PL); mineral fertilizer (NPK); and no fertilization (control). We determined concentrations of dissolved inorganic N (DIN) and dissolved organic N (DON) in soil solution in situ, prior to sowing and during the growing cycle of corn. In plants, we determined the gaseous exchange, shoot N content, grain yield, and indices of recovery and efficiency of N. DIN in soil solution was the predominant N form in all treatments, ranging from 53 to 80% of total dissolved nitrogen (TDN). NPK was the only treatment that maintained high NO 3-concentration in the soil solution up to 35 days after plant emergence (DAE) and this resulted in higher grain yield. The plants fertilized with CS obtained a recovery of 80% of the N, and promoted improvements in crop growth. The results of this study showed the importance of combining the application of organic fertilizers (before sowing) with mineral sources of N (topdressing), allowing the maintenance of N availability in the soil solution during periods of demand of organic fertilizer.

show abstract

Controls on soil solution nitrogen along an altitudinal gradient in the Scottish uplands

Cited by 18 publications

References 39 publications

Long‐term P weathering and recent N deposition control contemporary plant‐soil C, N, and P

Long‐term P weathering and recent N deposition control contemporary plant‐soil C, N, and P

Spatiotemporal variability of soil nutrients and the responses of growth during growth stages of winter wheat in northern China

Nitrogen Availability and Physiological Response of Corn After 12 Years with Organic and Mineral Fertilization

Contact Info

Product

Resources

About