Nitrogen losses from small agricultural catchments in Lithuania

Povilaitis, Arvydas; Sileika, Antanas Sigitas; Deelstra, Johannes; Gaigalis, Kazimieras; Baigys, Giedrius

doi:10.1016/j.agee.2014.02.002

Cited by 26 publications

(20 citation statements)

References 47 publications

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“…When entering drains, water leaches nutrients (mostly inorganic forms of N and P), and the increased nutrient inflow into surface water bodies leads to their eutrophication, with subsequent degradation of the biological, ecological, social, and economic value of the environment (Jaynes et al, 2001;Galloway et al, 2004;Tiemeyer et al, 2006). In Lithuania, 80% of total nitrogen and 53% of total phosphorus that enters streams originates from agricultural areas (Povilaitis et al, 2014). Numerous investigations conducted in Lithuania have shown that the typical NO 3 -N concentrations in tile drainage water can vary from 3 to 20 mg L -1 , while the total P concentrations can vary from 0.1 to 0.15 mg L -1 , with annual losses ranging from 5 to 40 kg ha -1 for total N and from 0.10 to 0.40 kg ha -1 for total P .…”

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confidence: 99%

Efficiency of Drainage Practices for Improving Water Quality in Lithuania

Povilaitis¹,

Rudzianskaitė²,

Misevičienė³

et al. 2018

Transactions of the ASABE

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confidence: 99%

Efficiency of Drainage Practices for Improving Water Quality in Lithuania

Povilaitis¹,

Rudzianskaitė²,

Misevičienė³

et al. 2018

Transactions of the ASABE

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“…Considering the rainfall events, the highest concentration of NH 4 -N (12.67 mg L -1 ) was observed for the crop hillslope at the beginning of the experiment (one month after fertilisation (450 kg ha -1 of urea) and two months after crop sowing (25% soil cover). The hillslopes with pasture had even lower concentrations compared to that with crop, which can be explained by the increased soil cover and by the increased absorption by vegetation (Povilaitis, Sileika, Deelstra, Gaigalis, & Baigys, 2014).…”

Section: Water and Soil Lossesmentioning

confidence: 93%

Water, Soil and Nutrients Losses by Runoff at Hillslope Scale in Agricultural and Pasture Production in Southern Brazil

Coblinski¹,

Favaretto²,

Goularte³

et al. 2019

JAS

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Agricultural activity, if not well managed, is an important source of water pollution mainly by surface runoff. The aim of this study was to evaluate losses of water, soil and soluble nutrient (phosphorus, nitrogen and carbon) via runoff in large plots (hillslope from 3,000 to 11,000 m2) at slope of 4 to 5% in annual crops (corn and sunflower) and pasture systems under no-tillage and no-pesticides. The study was carried out at the Canguiri Experimental Farm of the Federal University of Paraná, Southern Brazil, in soil classified as Ferralsol in three systems (crop, pasture and crop-pasture). Soil physical and chemical attributes as well as topographic indices and soil cover were investigated to evaluate the possible impacts of these variables on losses. The runoff was measured after each rainfall event from November 2014 to October 2015. Runoff samples were taken to analyse sediment and nutrients. All systems had low water, soil and nutrients losses compared to no conservative agricultural systems. Higher losses occurred in the annual crops system and were influenced by soil cover, with an annual runoff coefficient of 0.62% (7 mm of water loss) and an annual soil loss of 2.6 kg ha-1. The seasonality (winter/summer) did not influence soil, water and nutrient losses.

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“…Monitoring of nutrient losses to surface waters of small agricultural catchments has been carried out in seven Nordic and Baltic countries with the aim of obtaining information on agricultural activities and their impact on surrounding waters [14][15][16]. The effects of nutrients on the conditions of lakes were studied by Brett and Benjamin [17] and Matysik et al [18].…”

Section: Introductionmentioning

confidence: 99%

Relationship between the Water Quality Elements of Water Bodies and the Hydrometric Parameters: Case Study in Lithuania

Česonienė

Šileikienė

Dapkienė

2020

Water

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The larger and deeper lakes and ponds are, the better the conditions for spontaneous water purification, slower hydrobiological processes and slower accumulation of sediment. The goal of this research was to assess the ecological status of selected Lithuanian lentic water bodies and the impact of morphometric indicators on water quality. Multiple studies were conducted on 29 lakes and 10 ponds located throughout Lithuania in 2014–2018. The study proved that higher maxima and average depths of lakes correlate with lower Ptotal, Ntotal yield and macrophyte taxonomic composition values, indicating higher ecological status class. Higher chlorophyll a EQR, ichthyofauna taxonomic composition indicator for Lithuanian fish index LFI and Lithuanian lakes’ macroinvertebrate index indicates a higher ecological class. Larger lake areas contain smaller amounts of Ptotal and Ntotal, indicating better ecological status class; higher ichthyophane taxonomic composition in LFI, zoobenthos taxonomic composition indicator for Lithuanian lakes’ macroinvertebrates index (LLMI) and taxonomic composition of macrophytes MRI indicate better ecological status class. Larger lake areas contain lower chlorophyll a EQR values. Rapid water exchange improves the condition of the lake in addition to nitrogen, phosphorus and chlorophyll a EQR values. The faster the water exchange in the lake is, the lower the Ptotal and Ntotal values; faster water exchange in the lake also means higher chlorophyll a EQR values. However, slower water exchange indicates better ecological status of the macrophytic taxonomic composition of the MRI, the ichthyofauna taxonomic composition and the Lithuanian lakes’ macroinvertebrates index indicator of zoobenthos.

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Nitrogen losses from small agricultural catchments in Lithuania

Cited by 26 publications

References 47 publications

Efficiency of Drainage Practices for Improving Water Quality in Lithuania

Efficiency of Drainage Practices for Improving Water Quality in Lithuania

Water, Soil and Nutrients Losses by Runoff at Hillslope Scale in Agricultural and Pasture Production in Southern Brazil

Relationship between the Water Quality Elements of Water Bodies and the Hydrometric Parameters: Case Study in Lithuania

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