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Matematyczny model działania herbicydów na nitryfikację w glebie

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H. KLAU S, K. DOMSCH

MATHEMATICAL MODELLING OF HERBICIDAL EFFECTS ON SOIL NITRIFICATION

Institut für Bodenbiologie, Forschungsanstalt für Landwirtschaft, Braunschweig, BDR

In view of more than 40 publications concerned with the influence of herbicides on soil nitrification, it would seem rather useless to once again take up this subject. But when the pertinent literature is care­ fully scrutinized, it becomes apparent that meaningful conclusions con­ cerning parameters relevant to the toxic effects of herbicides on soil microbes have only been reached in exceptional cases. On the other hand, the process of soil nitrification, with its basic biochemical and ecological aspects, is presently reasonably well understood.

Only during the last few years have attempts been made to develop mathematical models which describe the nitrification process in soil [5, 6, 7, 3, 8, 1, 2].

The aim of the present investigation was to use a mathematical model in combination with experimental analyses to simulate, measure and compare normal and herbicide-affected nitrification under varying conditions. A full description of the work is given by D о m s с h and P a u l [4].

METHODS

The nitrification process was described a sixdimensional system oi nonlinear differential equations. In contrast to most previous models, the equations were solved with the help of a IBM 1130 computer (with an incremental plotter) using the program package CSMP (Continuous System Modeling Program). The basic model contains 7 equations with 6 coordinated constans and 7 calculatable parameters. The only free parameters are the initial values for the enzymatic activities of the

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202 H. Klaus, K. Domsch

two nitrifying populations of Nitrosomonas and Nitrobacter. The ex­ change and oxidation of NH4 ions was described in four equations with the oxidations following second order kinetics; tw o equations character­ ized enzyme activities in the form of an expanded Michaelis-Menton term, and one equation was used to describe changes in the H-ion concentration as they occured during the oxidation process. To study the effects of herbicides the model has been expanded to include two functions for residual activities.

Nitrification in 5 different soils was repeatedly measured in per­ colation units, each containing 30 g of air-dried soil and 200 ml of a 10 mmol NH4C1 solution [9]. The chemical analyses were conducted by conventional methods. The herbicides tested included 35 different commercial formulations, which represented most of the preparations in use in the FRG. Pure chemicals or herbicide mixtures were not tested, but in some cases the effects of blind formulations were in­ vestigated. Concentrations were based on practical application rates with a geometrical increase up to 5-fold.

RESULTS

First to be considered was the nitrification process in the absence of herbicides. Fig. 1 shows the timecourse of NHj, N 0 2 and NO:1 ions during a 300 hr experiment in pseudogley — Parabraunarde which had an initial pH of 7.4. There was a good agreement between the simulation curves and the measured values, in particular in the case of NH. and N 0 2 ions. The deviation in N 0 3 data derived from the fact that during the percolation process N 0 3 ions are extracted from the soil reservoir and are taken up in unknown amounts by the soil microorganisms.

It is of interest that the N 0 2 level was extremaly low. This was later ' shown to be a characteristic feature of this particular soil (with a low buffering capacity).

In another soil of the same type, which was taken from a sampling site some 100 yd distant (and with a comparable exchange capacity but a relatively high buffering capacity) a significant increase in N 0 2 con­ centration could be observed (Fig. 2). Due to the intermediate occurence of N 0 2, the NO;» production was delayed in its initial phase.

In the second series of experiments, the toxic action of herbicides on NH4 oxidation was tested. It was evident that herbicides from the following groups had not or only very slight and short-termed influence on this process: benzonitriles. thioamlde, uracil, triazines and phenols. In contrast to this, significant delay of NH., oxidation was caused by

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carbamates and thiolcarbamates, aminotriazol, monalide and the two urea derivaties, metobromuron and methabenzthiazuron.

A series of typical experiments is shown in Fig. 3. It can be seen that the delay in NH4 oxidation ranges from 45hr to 167hr Both simu­ lated and experimental data show fairly good agreement.

Fig. l. Concentration of NH4, N 0 2 and N 0 3 ions in the course of an expe­ riment in pseudogley — Parabraun- erde with high buffering capacity. The curves are derived from the simu­ lation model, the symbols mark the corressponding analytical data as

means of 6 replicate experiments

Fig. 2. Concentration of NH4, N 0 2 and N 0 3 ions in the course of an expe­ riment in pseudogley — Parabraun- erde with low buffering capacity; ex­

planations as in Fig. 1

In the example shown, simulation was based on the assumption that immediately after the application of the herbicide a certain portion of the NH4 oxidizing population would be killed, but that the survivors would grow and metabolize norm ally.. The calculated hypothetical initial kill ranged from 50 to 90%, which made it very unlikely that this part­ icular hypothesis was valid.

Another hypothesis, which had the premise that death rate of the organisms in the presence of a toxic agent was increased to a new constant level, was also rejected because of lack o f agreement with experimental data (Fig. 4).

By the same approach, all other inherent growth parameters were tested. A sound correspondence between measured and simulated curves was obtained by hypothesizing a completely reversible inhibition, in which the herbicide inhibits both enzyme synthesis and the turnover- rate of the NH4 oxidation. During the course of inhibition, the oxidase system would return to normal as the organisms regain their ability to proliferate. This hypothesis is in agreement with the general process of enzyme recovery, when recovery is due to binding or degradation of the toxicant [10].

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204 H. Klaus, K. Domsch

When this model describing the toxicant-affected nitrification process was extended to other soils, it was observed that NH4 oxidation was inhibited in fewer instances than expected. After testing of several hypo­ theses to elucidate this phenomenon, it was found that inhibition of NH4 oxidation through herbicides increased with dropping pH in weakly buffered soils. This meant that the sensitivity of NH4 oxidation, with regard to herbicides was in good agreement with the sensitivity of nitrifiers in relation to environmental changes.

Fig. 3. Measured curves (heavy-lined) and hypothetical curves (fine-lined) for the concentration of N H 4 ions in pseudogley — Parabraunerde (as in Fig. 1). Examples are given in in­ creasing order for control, barban (0,5 kg/ha), methabenzthiazuron (5 kg/ha), metobromuron (i kg/ha), diallate

(5 kg/ha)

Fig. 4. Hypothetical curves for the concentration of NH4 ions in pseu­ dogley Parabraunerde (as in Fig. 1) for increasing death rates

The final experiments were related to N 0 2 oxidation. Since this oxidation step is not only influenced by a possible reversible inhibition of the population of the N 0 2 oxidizers, but also depends on the substrate flow from NH4 oxidation, one can expect an immediate, as well as a de­ layed accumulation of N 0 2 ions.

The more toxic herbicides, with regard to N 0 2 oxidation, are again found in the carbamate- (chlorpropham, barban), thiolcarbamate- (di­ allate, triallate) and urea derivative- (methabenzthiazuron, chloroxuron. monolinuron, linuron, diuron, metobromuron) groups.

From a practical point of view it is essential to know if the inhibition is completely reversible and will lead only to a short-termed increase in N 0 2 concentration in soil, or partially reversible, with the result of a lasting accumulation of undesired N 0 2 ions. Fig. 5 shows an example of the first type of accumulation with metobromuron as the test her­ bicide As was expected from previous results, the N 0 2 accumulation was delayed due to the (completely reversible) inhibition of NH4

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oxi-dation. The N 0 2 ion accumulation, however, was short-termed and ap­ proached a normal level after 250 hrs and 350 hrs, respecitvely. The more unfavourable constellation, i.e. high levels of N 0 2 maintained for over 300 hrs, is found only in rare cases, as for example with barban, or with the 4 urea herbicides methabenzthiazuron, chloroxuron, linuron and monolinuron.

Fig. 5. Measured curves (heavy-lined) and hypothetical curves (fine-lined) for the concentration of N 0 2 ions in pseudogley — Parabraunerde (as in in Fig. 1). Examples are given for me-

tabromuron (1 and 2 kg/ha)

In general, results indicate that N 0 2 only accumulates when N 0 2 oxidizers are more strongly inhibited than NH4 oxidizers. The extent and duration of N 0 2 accumulation becomes greater as the concentration of the toxicant is increased. Experiments in different soils have con­ firmed that inhibition of N 0 2 oxidation is also pH-dependent. In soils which had a high buffer capacity and high nitrification rates, N 0 2 accumulation was never greater than in the controls.

The investigation of the nitrification process with the help of a model has many advantages. It creates the possibility of making exact pre­ dictions, it allows the riskless testing of threshold values and hypotheses and last but not least it makes use of the operational rapidity of a com­ puter.

REFERENCES

[11 A r d a k a n i M. S., R e h b o c k J. T., Mc L a r e n A. D.: Soil Sei Soc. Amer. Proc. 37, 1973, 53.

[2] B a z in M. J., S a u n d e r s P. T.: Bull. Ecol. Res. Comm. (Stockholm) 17, 1973, 398.

[31 C h о C. М.: Canad. J. Soil Sei. 51, 1971, 339.

[4] D о m s с h K. H., P a u 1 W .: Soil Biol. Biochem. 1973 (in print).

[51 K n o w l e s G. A., D o w n i n g L., B a r r e t t M. J.: J. Gen. Micobiol. 38, 1965, 263.

[61 M c L a r e n D. A .: Canad. J. Soil Sei. 50, 1970, 97. [7] M c L a r e n D. A .: Soil Sei. Soc. Amer. Proc. 35, 1971, 91. [81 P a u 1 W., D o m s с h K. H.: Arch. Mikrobiol. 87, 1972, 77. [91 Q u a s t e i J. H.: Meth. Enzymol. 4, 1957, 336.

[10] W e b b J. L.: Eenzyme and metabolic inhibitors. Vol. I, New York an/d London, Academic Press, 1963.

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2 0 6 H. Klaus, K. Domsch H. K L A U S , K . DOM SCH

M A T E M A T Y C ZN Y MODEL D ZIA Ł A N IA HERBICYDÓW N A N ITRYFIKACJĘ W GLEBIE

Instytut Biologii Gleby, Braunschweig, NRF

S t r e s z c z e n i e

Celem pracy było porówanie modelu matematycznego z danymi do­ świadczalnymi dla określenia wpływu herbicydów na nitryfikację w gle­ bie. Stwierdzono, że nagromadzanie azotanów zachodzi wówczas, jeżeli herbicyd silniej działa na bakterie utleniające N 0 2 niż na bakterie utle­ niające NH4. W miarę wzrostu stężenia czynnika toksycznego zwiększa się nagromadzanie N 0 2. Stopień zahamowania procesu utleniania N 0 2 zależy m. in. od pH gleby. W glebach zbuforowanych, wykazujących silną nitryfikację, ilość N 0 2 nie była nigdy większa niż w kontrolnej glebie bez herbicydów.

Badanie nitryfikacji za pomocą odpowiedniego modelu ma wiele zalet. Daje możliwość uzyskania dokładnych oznaczeń, bezbłędnej oceny war­ tości hipotezy roboczej oraz wykorzystania do tego celu komputera.

X . К Л А У С , К . домш М АТЕМ АТИ ЧЕСКАЯ МОДЕЛЬ ДЕЙСТВИЯ ГЕРБИЦИДОВ НА НИТРИФИКАЦИЮ В ПОЧВЕ Институт Биологии Почвы, Брауншвейг. Г.Ф.Р. Р е з ю м е Целью труда было сопоставление математической модели с эксперимен­ тальными данными, определяющими влияние гербицидов на нитрификацию в почве в разных экологических условиях. Обнаружено, что гербициды вызывают накопление нитратов в почве в том случае, если бактерии окисляющие N 0 2 ингибированы сильнее, чем бактерии окисляющие NH4. Возрастающие дозы гербицидов увеличивают количество NO2. Кислотность почвы влияет также на этот процесс. В буферированных почвах N 0 2 никогда не находилась в больших количествах, чем в контрольной почве без гербицидов. Применение математической модели для исследования нитрификации имеет много преимуществ. Дает возможность получения точных определений, без­ ошибочной оценки рабочего гипотеза, а также использования для этой цели компутера.

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