Estimation of soil enzyme activity with respect to decomposition of leaf litter types
Bibliographic record
Abstract
<strong>ABSTRACT</strong> The measurement of enzyme activities give an index of the extent of specific biochemical processes in soil and in many situations acts as an indicator of soil fertility. Historical evidences show that this area was once a thick forest but widespread forest denudation by human settlements form early nineteenth century had converted the entire area barren up to the line of horizon. The objective of the present study was to evaluate the effect of litter types of the above-mentioned four tree species on edaphic properties of tropical deciduous afforested ecosystem in Srisailam reserve forest. The present climatic record of the local meteorological station shows average monthly temperature of 26.10C in 2010 (range 10.90C in January to 38.40 C in May), 26.40C in 2011 (range 12.40C in January to 37.70C in June), total annual rainfall of 1516.7 mm in 2010 and 1381.5 mm in 2011, and mean monthly relative humidity 78.1% in 2010 and 77.8% in 2011. The changes in enzyme activities were clearly evident with respect to leaf litter types and between winter, summer and rainy Seasons. Among different enzymes the activities of invertase, protease and acid phosphatase were higher than that of amylase, cellulase and dehydrogenase in all the sites. The enzyme activity of all the sites, except Shorea showed equally high levels during rainy season. <strong>Keywords:</strong> Srisailam, Invertase, Amylase, Cellulase, Enzyme activity. <strong>REFERENCES</strong> Amador, J, A., Glucksman, A, M., Lyons, J, B., Gorres, J, H., 1997. Spatial distribution of soil phosphatase activity within a riparian forest. Soil sc, 162 : 808-825. Bandick, A, K. and Dick, R, P., 1999. Field management effects on soil enzyme activities. Soil Biology & Biochemistry, 31 : 471 – 1479. Eivazi, F. and Tabatabai, M, A., 1988. Glucosidases and galactosidases in soils. Soil biologyand biochemistry, 20 :601-606. Nannipieri, P., Kandeler, E., Ruggiero, P., 2002. Enzyme activities and microbiological and biochemical processes in soil, In: Enzymes in the Environment. (Eds. Burns, R.G., Dick, R.P.) Marcel Dekker, New York: 1-34. Sinhsabaugh, R, L., Antibus, R, K., Linkins, A, E., McClaugherty, C, A., Rayburn, L., Repert, D., Weiland, T., 1993. Wood decomposition : nitrogen and phosphorus dynamics in relation to extracellular enzyme activity. Ecology, 74 : 1586 - 1593. spiers,G,A.and McGill,W,b.,1979.Effect of phosporus addition and energy supply on acid phosphase production and activity in soil .Soil Biology&biochemistry,11:3-8. Tabatabai, M, A., 1994. Soil enzymes. In : Weaver, R. W. (Ed.), Methods of Soil Analysis. Part 2. SSSA Book, Ser. 5. SSSA and ASA, Madison, WI : 775-833. Trevors, J, T., 1984. Dehydrogenase activity in soil : a comparison between the INT and TTC assay. Soil Biology & Biochemistry, 16 : 673-674. V. Srinivas Reddy, N. Venu and M. Vikram Reddy (2015). Effects of various soil management practice on earthworm population structure across rainy and post-rainy seasons under the maize crop. The Ame J Sci & Med Res, 1(1):120-128. doi:10.17812/ajsmr20151121 V. Srinivas Reddy, N. Venu and M. Vikram Reddy (2015). Response of soil-surface arthropod population densities across the 15 different soil management treatments. Biolife, 3(3), pp 673-684. doi:10.17812/blj.2015.3316 Venu N, Srinivas Reddy V and Vikram Reddy, M (2015). Comparison of biological activities and soil parameters associated with leaf litter decomposition under natural forest conditions. The Ame J Sci & Med Res, 2015,1(1):44-52. doi:10.17812/ajsmr2015112
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".