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Plant litter decomposition and nutrient cycling in north Queensland tropical rain-forest communities of differing successional status

Published online by Cambridge University Press:  01 May 2008

Scott A. Parsons*
Affiliation:
Centre for Tropical Biodiversity and Climate Change, School of Marine and Tropical Biology, James Cook University, Townsville, Queensland, 4811, Australia
Robert A. Congdon
Affiliation:
School of Marine and Tropical Biology, James Cook University, Townsville, Queensland, 4811, Australia
*
1Corresponding author. Email: scott.parsons@jcu.edu.au
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Abstract:

Soil processes are essential in enabling forest regeneration in disturbed landscapes. Little is known about whether litterfall from dominating pioneer species in secondary rain forest is functionally equivalent to that of mixed rain-forest litter in terms of contribution to soil processes. This study used the litterbag technique to quantify the decomposition and nutrient dynamics of leaf litter characteristic of three wet tropical forest communities in the Paluma Range National Park, Queensland, Australia over 511 d. These were: undisturbed primary rain forest (mixed rain-forest species), selectively logged secondary rain forest (pioneer Alphitonia petriei) and tall open eucalypt forest (Eucalyptus grandis). Mass loss, total N, total P, K, Ca and Mg dynamics of the decaying leaves were determined, and different mathematical models were used to explain the mass loss data. Rainfall and temperature data were also collected from each site. The leaves of A. petriei and E. grandis both decomposed significantly slower in situ than the mixed rain-forest species (39%, 38% and 29% ash-free dry mass remaining respectively). Nitrogen and phosphorus were immobilized, with 182% N and 134% P remaining in E. grandis, 127% N and 132% P remaining in A. petriei and 168% N and 121% P remaining in the mixed rain-forest species. The initial lignin:P ratio and initial lignin:N ratio exerted significant controls on decomposition rates. The exceptionally slow decomposition of the pioneer species is likely to limit soil processes at disturbed tropical rain-forest sites in Australia.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2008
Figure 0

Table 1. Initial nutrient and fibre concentrations (per unit dry mass) of the three litter types studied. Mean ± 1SE from four samples are shown. Significance of differences from one-way ANOVA are shown, along with Tukey HSD multiple comparisons test where means in a column followed by the same letter are not significantly different (P > 0.05).

Figure 1

Figure 1. Changes in the ash-free dry weight (a); total nitrogen (b); total phosphorus (c); potassium (d); magnesium (e); and calcium (f) concentrations of leaf litters exposed at three sites in the Paluma Range National Park. ◯ = Alphitonia petriei in secondary rain forest; □ = Mixed primary rain-forest species in undisturbed rain forest; △ = Eucalyptus grandis in tall open forest. Error bars represent ± 1SE from four litterbags collected after 14, 35, 54, 84, 107, 158 and 216 d, six litterbags after 269 and 398 d, and ten litterbags after 511 d.

Figure 2

Table 2. Summary of the results from regression analysis on the ash-free dry weight loss (y), inside litterbags containing three litter types: Alphitonia petriei in secondary rain forest; mixed primary rain-forest species in undisturbed rain forest and Eucalyptus grandis in tall open forest. Actual experimentally determined % remaining after 511 d ± 1 SE were 39.2 ± 3.1%, 28.5 ± 7.5% and 37.8 ± 4.7% respectively. Components of the single exponential model (1exp.: y = Ae−kt) and double exponential model (2exp.: y = Be−ct + De−ft) are shown, along with the estimated % remaining after 365 d and 511 d, and adjusted r2, as determined by each model. All models provided significant fits (P < 0.001).

Figure 3

Table 3. Results of stepwise multiple linear regression analysis for the initial litter quality on the amount of dry weight remaining after 107, 365 (calculated from regression analysis using the double exponential model), and 511 d. Data were pooled for all sites (n = 32 for 107 d, n = 5 for 365 d and n = 50 for 511 d). Stepwise regression removed all variables except: 107 days, lignin: P (adjusted r2 = 0.83); 365 days, lignin: N (adjusted r2 = 0.84); 511 days, lignin: N (adjusted r2 = 0.60).