2015
DOI: 10.1590/1519-6984.08413
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Adequacy assessment of mathematical models in the dynamics of litter decomposition in a tropical forest Mosaic Atlantic, in southeastern Brazil

Abstract: The study of litter decomposition and nutrient cycling is essential to know native forests structure and functioning. Mathematical models can help to understand the local and temporal litter fall variations and their environmental variables relationships. The objective of this study was test the adequacy of mathematical models for leaf litter decomposition in the Atlantic Forest in southeastern Brazil. We study four native forest sites in Parque Estadual do Rio Doce, a Biosphere Reserve of the Atlantic, which … Show more

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Cited by 2 publications
(2 citation statements)
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“…A total of 153 experimental units were used in this process, and the completely descriptive characterization of these data was presented in Table 1 . Mathematical comparisons were performed using the MES software (Model Evaluation System, version 3.1, Texas A&M University, College Station, TX, USA) according to Tedeschi ( 24 ), after calculating Mayer's intercept and slope test ( 25 ), the root mean square of error (RMSE), the concordance correlation coefficient (CCC), the mean bias, slope bias, and random errors decomposed from the mean square error of prediction (MSEP), the predicted mean, and the mean deviation. All statistical procedures were performed using 0.05 as the critical level of probability for type I error occurrence.…”
Section: Methodsmentioning
confidence: 99%
“…A total of 153 experimental units were used in this process, and the completely descriptive characterization of these data was presented in Table 1 . Mathematical comparisons were performed using the MES software (Model Evaluation System, version 3.1, Texas A&M University, College Station, TX, USA) according to Tedeschi ( 24 ), after calculating Mayer's intercept and slope test ( 25 ), the root mean square of error (RMSE), the concordance correlation coefficient (CCC), the mean bias, slope bias, and random errors decomposed from the mean square error of prediction (MSEP), the predicted mean, and the mean deviation. All statistical procedures were performed using 0.05 as the critical level of probability for type I error occurrence.…”
Section: Methodsmentioning
confidence: 99%
“…Litterfall is a fundamental process in ecosystem dynamics, it is indicative of ecological yield, and is of vital importance in soil formation and maintenance of soil fertility (Andivia et al, 2010;Nunes & Garcia, 2015). The decomposition of the organic matter contributed by litterfall regulates nutrient and energy patterns in forest ecosystems (Facelli & Pickett, 1991;Chapin, Matson, & Mooney, 2002;Weltzin et al, 2005).…”
Section: Introductionmentioning
confidence: 99%