Articles | Volume 20, issue 9
https://doi.org/10.5194/bg-20-1759-2023
https://doi.org/10.5194/bg-20-1759-2023
Research article
 | 
15 May 2023
Research article |  | 15 May 2023

Information content in time series of litter decomposition studies and the transit time of litter in arid lands

Agustín Sarquis and Carlos A. Sierra

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Cited articles

Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., and Hegewisch, K. C.: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015, Sci. Data, 5, 170191, https://doi.org/10.1038/sdata.2017.191, 2018. 
Adair, E. C., Parton, W. J., Del Grosso, S. J., Silver, W. L., Harmon, M. E., Hall, S. A., Burke, I. C., and Hart, S. C.: Simple three-pool model accurately describes patterns of long-term litter decomposition in diverse climates, Glob. Change Biol., 14, 2636–2660, https://doi.org/10.1111/j.1365-2486.2008.01674.x, 2008. 
Adair, E. C., Hobbie, S. E., and Hobbie, R. K.: Single-pool exponential decomposition models: potential pitfalls in their use in ecological studies, Ecology, 91, 1225–1236, https://doi.org/10.1890/09-0430.1, 2010. 
Adair, E. C., Parton, W. J., King, J. Y., Brandt, L. A., and Lin, Y.: Accounting for photodegradation dramatically improves prediction of carbon losses in dryland systems, Ecosphere, 8, e01892, https://doi.org/10.1002/ecs2.1892, 2017. 
Anderson, D. R.: Model Based Inference in the Life Sciences: A Primer on Evidence, Springer, New York, ISBN: 9780387740737, 2008. 
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Short summary
Although plant litter is chemically and physically heterogenous and undergoes multiple transformations, models that represent litter dynamics often ignore this complexity. We used a multi-model inference framework to include information content in litter decomposition datasets and studied the time it takes for litter to decompose as measured by the transit time. In arid lands, the median transit time of litter is about 3 years and has a negative correlation with mean annual temperature.
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