Indirect effects of precipitation variation on the decomposition process of Mongolian oak (Quercus mongolica) leaf litter

2007 ◽  
Vol 2 (4) ◽  
pp. 417-423 ◽  
Author(s):  
Xuefeng Li ◽  
Shijie Han ◽  
Yan Zhang
2020 ◽  
Vol 3 (1) ◽  
pp. 25
Author(s):  
David Candel-Pérez ◽  
J. Bosco Imbert ◽  
Maitane Unzu ◽  
Juan A. Blanco

The promotion of mixed forests represents an adaptation strategy in forest management to cope with climate change. The mixing of tree species with complementary ecological traits may modify forest functioning regarding productivity, stability, or resilience against disturbances. Litter decomposition is an important process for global carbon and nutrient cycles in terrestrial ecosystems, also affecting the functionality and sustainability of forests. Decomposition of mixed-leaf litters has become an active research area because it mimics the natural state of leaf litters in most forests. Thus, it is important to understand the factors controlling decomposition rates and nutrient cycles in mixed stands. In this study, we conducted a litter decomposition experiment in a Scots pine and European beech mixed forest in the province of Navarre (north of Spain). The effects of forest management (i.e., different thinning intensities), leaf litter types, and tree canopy on mass loss and chemical composition in such decomposing litter were analysed over a period of three years. Higher decomposition rates were observed in leaf litter mixtures, suggesting the existence of positive synergies between both pine and beech litter types. Moreover, a decomposition process was favoured under mixed-tree canopy patches. Regarding thinning treatments significant differences on decomposition rates disappeared at the end of the study period. Time influenced the nutrient concentration after the leaf litter incubation, with significant differences in the chemical composition between the different types of leaf litter. Higher Ca and Mg concentrations were found in beech litter types than in pine ones. An increase in certain nutrients throughout the decomposition process was observed due to immobilization by microorganisms (e.g., Mg in all leaf litter types, K only in beech leaves, P in thinned plots and under mixed canopy). Evaluating the overall response in mixed-leaf litters and the contribution of single species is necessary for understanding the litter decomposition and nutrient processes in mixed-forest ecosystems.


Author(s):  

Abstract A new distribution map is provided for Raffaelea quercivora Kubono & Shin. Ito. Fungi: Ascomycota: Ophiostomatales. Hosts: Mongolian oak (Quercus mongolica) and glandbearing oak (Quercus serrata). Information is given on the geographical distribution is Asia (Japan, Honshu, Kyushu).


Forests ◽  
2014 ◽  
Vol 5 (10) ◽  
pp. 2561-2580 ◽  
Author(s):  
Jaeeun Sohng ◽  
Ah Han ◽  
Mi-Ae Jeong ◽  
Yunmi Park ◽  
Byung Park ◽  
...  

1985 ◽  
Vol 63 (10) ◽  
pp. 2298-2304 ◽  
Author(s):  
K. van Frankenhuyzen ◽  
G. H. Geen ◽  
C. Koivisto

A shredding caddisfly, Clistoronia magnifica (Banks), was used to test the hypotheses that increased acidity would reduce the transformation of detrital energy into shredder biomass by (i) reducing survival, (ii) increasing maintenance costs at the expense of growth, and (iii) reducing food quality as a result of inhibition of microbial activity on the leaf litter. Low pH reduced larval survival immediately after hatching and during the moult from third to fourth instar. However, surviving larvae developed faster at pH 4.2–5.2 than at pH 5.8–6.4 and produced larger pupae and adults. Low pH did not alter metabolic costs or ingestion rates of fourth- and fifth-instar larvae. Accelerated growth resulted from indirect effects of low pH on the food resource, which suggested improved nutritional quality of leaf litter conditioned at low pH. However, enhanced growth of late instar larvae did not compensate for reduced survival of early instar larvae, possibly resulting in lower shredder production under acidic conditions.


2017 ◽  
Vol 174 (2) ◽  
pp. 77-85 ◽  
Author(s):  
June Yong Lee ◽  
Misuk Yang ◽  
Kyoung Yong Jeong ◽  
Da Woon Sim ◽  
Jin Hee Park ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document