Soil nitrogen availability predictor (SNAP): a simple model for predicting mineralisation of nitrogen in forest soils

Paul, Keryn I.; Polglase, P. J.; O’Connell, A. M.; Carlyle, J. C.; Smethurst, P. J.; Khanna, P.

doi:10.1071/sr01114

Cited by 39 publications

(43 citation statements)

References 29 publications

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“…These rates could then be tallied for a given period, e.g., monthly, seasonal or annual estimates. Annual estimates of NNM agreed well with in situ measurements across a range of sites (R 2 = 0.76; Paul et al, 2002). The SNAP model was most recently used at the headwater catchment scale as a component to understand and model the pools and fluxes of mineral N in soil, ground water and stream water (Smethurst et al, 2014).…”

Section: Introductionsupporting

confidence: 58%

“…A hybrid approach between measurement and modelling of NNM may be more cost-effective. Paul et al (2002;2003a,b; used a large Australian database of NNM measurements, from 33 native forest and plantation sites, to develop the SNAP (Soil Nitrogen Availability Predictor) model that is much less labour-intensive, and provided reasonable estimates of daily and annual NNM rates. The method was based on laboratory incubations at non-limiting soil water and warm temperatures (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Smethurst

Gonçalves

Pulito

et al. 2015

Rev. Bras. Ciênc. Solo

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the soil Nitrogen Availability predictor (sNAp) model predicts daily and annual rates of net N mineralization (NNm) based on daily weather measurements, daily predictions of soil water and soil temperature, and on temperature and moisture modifiers obtained during aerobic incubation (basal rate). the model was based on in situ measurements of NNm in Australian soils under temperate climate. the purpose of this study was to assess this model for use in tropical soils under eucalyptus plantations in São Paulo State, Brazil. Based on field incubations for one month in three, NNm rates were measured at 11 sites (0-20 cm layer) for 21 months. the basal rate was determined in in situ incubations during moist and warm periods (January to march). Annual rates of 150-350 kg ha -1 yr -1 NNm predicted by the sNAp model were reasonably accurate (r 2 = 0.84). in other periods, at lower moisture and temperature, NNm rates were overestimated. therefore, if used carefully, the model can provide adequate predictions of annual NNm and may be useful in practical applications. for NNm predictions for shorter periods than a year or under suboptimal incubation conditions, the temperature and moisture modifiers need to be recalibrated for tropical conditions.

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Section: Introductionsupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Smethurst

Gonçalves

Pulito

et al. 2015

Rev. Bras. Ciênc. Solo

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“…O uso agrícola do lodo de esgoto tem sido apontado como alternativa adequada para destinação final desse resíduo, uma vez que ele pode substituir total ou parcialmente o uso de fertilizantes minerais, principalmente os nitrogenados (Franco-Hernández et al, 2003;Bettiol & Camargo, 2006 N para o solo (Parker & Sommers, 1983 (Paul et al, 2002) e que a adoção de valores obtidos em regiões temperadas pode resultar em erros na estimativa quando extrapolados para as condições brasileiras. Ao se assumir que estes valores sejam adequados para o cenário nacional, taxas inferiores a 50% resultariam numa dose de lodo que contenha pelo menos o dobro da quantidade de N (total) demandada pela cultura.…”

Section: Introductionunclassified

Mineralização do carbono e do nitrogênio no solo após sucessivas aplicações de lodo de esgoto

Andrade

Fernanda

Silva

et al. 2013

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a dinâmica de mineralização do C e a capacidade do solo em fornecer N após sucessivas aplicações de lodo de esgoto, além de determinar a relação destas com a taxa de mineralização do lodo previamente aplicado. A área experimental recebeu, por sete anos, os seguintes tratamentos: 80 kg ha -1 por ano de N mineral (L0); e 10 ou 20 Mg ha -1 por ano de lodo (L1 e L2, respectivamente). Amostras de solo (0-20 cm) foram retiradas um ano após a última aplicação dos tratamentos. As amostras receberam doses de lodo correspondentes a 0, 120 e 240 kg ha -1 de N e foram incubadas em laboratório por mais de 100 dias, tendo-se determinado o C-CO 2 liberado e o teor de N inorgânico no solo. A mineralização do C e do N foi mais influenciada pelo uso prévio do lodo do que pelas doses incubadas. A taxa de mineralização do nitrogênio (TMN) diminuiu de 16%, em L0, para 11%, em L1, e 8% em L2. No entanto, essa redução não resultou em menor disponibilidade de N no sistema, pois houve incremento do N potencialmente mineralizável (N 0 ) em L1 e L2. Assim, a TMN não é um parâmetro adequado para cálculo da dose de lodo a ser aplicada em áreas previamente tratadas com o resíduo, pois subestima a capacidade do sistema em fornecer N. Neste caso, deve-se considerar o uso do N 0 .Termos para indexação: fertilizante nitrogenado, matéria orgânica, nitrogênio potencialmente mineralizável, resíduo, taxa de mineralização do nitrogênio. Mineralization of carbon and nitrogen in soil after successive applications of sewage sludgeAbstract -The objective of this work was to evaluate the dynamics of carbon mineralization and the soil capacity in providing nitrogen after successive applications of sewage sludge, as well as to determine their relation with the mineralization rate of the sludge previously applied. The experimental area received for seven years the following treatments: 80 kg ha -1 per year of mineral N (L0); and 10 or 20 Mg ha -1 per year of sewage sludge (L1 and L2, respectively). Soil samples (0-20 cm) were taken one year after the last application of the treatments. Samples received sewage sludge doses corresponding to 0, 120, and 240 kg ha -1 of N and were incubated in laboratory for more than 100 days, with determination of C-CO 2 emission and inorganic soil N content. The mineralization of C and N was more influenced by the previous use of sludge than by the incubated doses. The nitrogen mineralization rate (NMR) reduced from 16%, on L0, to 11% on L1 and 8% on L2. However, this reduction did not result in lower N availability on the system, since there was an increase of the potentially mineralizable nitrogen (N 0 ) in L1 and L2. Therefore, the NMR is not an adequate parameter for calculating the sewage sludge dose to be applied on areas previously treated with the residue, since it underestimates the system capacity of providing N. In this case, the use of N 0 should be considered.

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“…For simplicity, daily nitrogen mineralization was the only aspect of nutrient availability that was simulated in the model. Driving variables included soil temperature, water content, texture, bulk density, and water holding capacity, as well as daily air temperature, rainfall, and solar radiation (Paul et al 2002). The mass and height of the litter layer, the stand leaf area index, and site slope must also be known or estimated.…”

Section: Respirationmentioning

confidence: 99%

A hybrid model for intensively managed Douglas-fir plantations in the Pacific Northwest, USA

2009

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Recent advances in traditional forest growth models have been achieved by linking growth predictions to key ecophysiological processes in a hybrid approach that combines the strengths of both empirical and process-based models. A hybrid model was constructed for intensively managed Douglas-fir plantations in the Pacific Northwest, USA, by embedding components representing fundamental physiological processes and detailed tree allometrics into an empirical growth model for projecting individual tree and stand development. The simulated processes operated at a variety of scales ranging from individual branches to trees and stands. The canopy structure submodel improved predictions of leaf area index at the stand level when compared to allometric and other empirical approaches (reducing mean square error by 30-42%). In addition, the hybrid model achieved accuracy in short-term volume growth prediction comparable to an empirical model. Biases in 4-year stand growth predictions from the hybrid model were similar to those from the empirical model under thinning, fertilization, and the combination of these treatments; however, volume growth predictions in unmanaged plantations averaged approximately 36% less bias. These improvements were attributed to detailed information on crown structure (i.e. size, location, and foliage mass of primary branches), simple representation of key physiological processes, and improved site characterization. Soil moisture, temperature, and nitrogen mineralization predicted by the hybrid model also agreed closely with observed values from several previous studies. Overall, the model framework will be helpful for future analyses as it can lend insight into the influence of weather and site edaphic factors on growth, help identify mechanisms of response to silvicultural treatments, and facilitate the design of sound management regimes for Douglas-fir plantations across the Pacific Northwest region.

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Soil nitrogen availability predictor (SNAP): a simple model for predicting mineralisation of nitrogen in forest soils

Cited by 39 publications

References 29 publications

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Mineralização do carbono e do nitrogênio no solo após sucessivas aplicações de lodo de esgoto

A hybrid model for intensively managed Douglas-fir plantations in the Pacific Northwest, USA

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