Methods to Study Litter Decomposition: A Practical Guide by Manuel A.S. Graça, Felix Bärlocher, Mark O. Gessner

By Manuel A.S. Graça, Felix Bärlocher, Mark O. Gessner

The first aim of this e-book is to supply scholars and laboratory teachers at universities ecologists with a wide variety of demonstrated tips on how to learn plant clutter decomposition. precise protocols for direct use within the box or laboratory are awarded in a simple to stick to step by step layout. a brief advent to every protocol studies the ecological importance and ideas of the approach and issues to key references.

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Methods to Study Litter Decomposition: A Practical Guide

The first aim of this booklet is to supply scholars and laboratory teachers at universities ecologists with a vast diversity of proven ways to research plant muddle decomposition. specific protocols for direct use within the box or laboratory are offered in a simple to stick with step by step layout.

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J. & Chung. K. (1995). Long-term dynamics of coarse particulate organic matter in three Appalachian Mountain streams. Journal of the North American Benthological Society, 14, 217-232. R. L. (1997). Stream organic matter budgets-introduction. R. L. ), Stream organic matter budgets. Journal of the North American Benthological Society, 16, 3-161, pp. 5-13. J. T. (1990). Effects of forest disturbance on particulate organic matter budgets of small streams. Journal of the North American Benthological Society, 9, 120-140.

J. & Christopoulos, A. (2003). Fitting models to biological data using linear and nonlinear regression. A practical guide to curve fitting. C. W. (1974). Leaf processing in a woodland stream. Freshwater Biology, 4, 343-368. , Wennrich, R. & Baumbach, R. (2002). Decomposition of alder leaves in two heavy metal polluted streams in Central Germany. Aquatic Microbial Ecology, 26, 73-80. K. E. (1982). A critique of the analytical methods used in examining decomposition data obtained from litter bags.

Rinse leaves under running tap water, dry to constant mass and weigh. 4. Statistical Analysis 1. 2. 3. 4. 5. Express mass loss as percentage of original mass after correction for (1) humidity and (2) handling (100% = mass after corrections). Run a regression analysis. (a) A linear regression with the original data (Time = independent variable; % Mass remaining = dependent variable). (b) A nonlinear curve-fitting program (exponential decay; in most programs, you will have to type in the equation, and provide initial estimates of the parameters that are to be determined (in the exponential decay model, provide an estimate of a and kk).

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