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Global Change Abstracts The Swiss Contribution - SCNAT

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102<br />

production during the course of the dry season<br />

was highly variable among the tree species. Tree<br />

diversity significantly affected litter production,<br />

and the majority of the intermediate diverse mixtures<br />

had higher litter yields than expected based<br />

on yields in monoculture. In contrast, high diverse<br />

mixtures did not show such overyielding in<br />

litter production. Litter decomposition rates were<br />

also highly species-specific, and were related to<br />

various measures of litter quality (C/N, lignin/N,<br />

fibre content). We found no overall effect of litter<br />

diversity if the entire litter mixtures were analyzed,<br />

i.e. mixing species resulted in pure additive<br />

effects and observed decomposition rates were<br />

not different from expected rates. However, the<br />

individual species changed their decomposition<br />

pattern depending on the diversity of the litter<br />

mixture, i.e. there were species-specific responses<br />

to mixing litter. <strong>The</strong> analysis of temporal C and<br />

N dynamics within litter mixtures gave only limited<br />

evidence for nutrient transfer among litters<br />

of different quality. At this early stage of our tree<br />

diversity experiment, there are no coherent and<br />

general effects of tree species richness on both<br />

litter production and decomposition. Within the<br />

scope of the biodiversity- ecosystem functioning<br />

relationship, our results therefore highlight the<br />

process-specific effects diversity may have. Additionally,<br />

species-specific effects on ecosystem<br />

processes and their temporal dynamics are important,<br />

but such effects may change along the gradient<br />

of tree diversity.<br />

Oikos, 2007, V116, N12, DEC, pp 2108-2124.<br />

08.1-169<br />

Exploring the functional significance of forest<br />

diversity: A new long-term experiment with<br />

temperate tree species (BIOTREE)<br />

Scherer Lorenzen M, Schulze E D, Don A, Schumacher<br />

J, Weller E<br />

Switzerland, Germany<br />

Ecology , Plant Sciences , Biodiversity , Forestry<br />

Effects of biodiversity on ecosystem functioning<br />

have been mainly studied in experiments that<br />

artificially create gradients in grassland plant diversity.<br />

Woody species were largely excluded from<br />

these early experiments, despite the ecological<br />

and socioeconomic importance of forest ecosystems.<br />

We discuss conceptual aspects of mechanistically<br />

driven research on the biodiversity-ecosystem<br />

functioning relationship in forests, including<br />

the comparison of scientific approaches like ‘observational<br />

studies’, ‘removal experiments’, and<br />

‘synthetic-assemblage experiments’. We give a<br />

short overview on the differences between herbaceous<br />

and forest ecosystems, focusing on can-<br />

<strong>Global</strong> <strong>Change</strong> <strong>Abstracts</strong> – <strong>The</strong> <strong>Swiss</strong> <strong>Contribution</strong> | Terrestrial Ecosystems<br />

opy characteristics, and the possibilities for individual<br />

versus population-based investigations.<br />

We present detailed information about the first<br />

large-scale, multisite and long-term biodiversityecosystem<br />

functioning experiment with tree species<br />

of temperate forests (BIOTREE - BIOdiversity<br />

and ecosystem processes in experimental TREE<br />

stands). At three sites of differing geology and local<br />

climate, we planted 200,000 saplings on a total<br />

area of 70 ha. At two sites, diversity gradients were<br />

established by varying the number of tree species<br />

(BIOTREE-SPECIES). At a third site, only functional<br />

diversity at a constant level of tree species<br />

richness was manipulated by selecting mixtures<br />

that differ in the functional trait values of the<br />

corresponding species (BIOTREE-FD). Additional<br />

experimental treatments at the subplot level include<br />

silvicultural management options, the addition<br />

of subdominant species, and the reduction<br />

of genetic diversity. Response variables focus on<br />

productivity, biogeochemical cycles and carbon<br />

sequestration, and resource use complementarity.<br />

We explore the use of different measures of functional<br />

diversity for a posteriori classifications of<br />

functional richness and their use in the analysis<br />

of our tree diversity experiment. <strong>The</strong> experiment<br />

is thought to provide a long-term research platform<br />

for a variety of scientific questions related to<br />

forest biodiversity and ecosystem processes.<br />

Perspectives in Plant Ecology Evolution and Systematics,<br />

2007, V9, N2, pp 53-70.<br />

08.1-170<br />

Patterns of variation of a common fern<br />

(Athyrium filix-femina; Woodsiaceae): Population<br />

structure along and between altitudinal<br />

gradients<br />

Schneller J, Liebst B<br />

Switzerland<br />

Plant Sciences , Ecology , Biodiversity<br />

Genetic variability of Athyrium filix-femina populations<br />

was evaluated with regard to phenotypic,<br />

allozyme, and RAPD variation in 20 <strong>Swiss</strong> populations<br />

along five altitudinal gradients at four<br />

different elevations in the northern <strong>Swiss</strong> Alps.<br />

Additionally, allozyme and phenotypic variations<br />

in one Italian and two Spanish populations were<br />

compared with the variation in the <strong>Swiss</strong> populations.<br />

We hypothesized that there will be statistically<br />

significant genetic differences among populations<br />

of different altitudes and sites. <strong>The</strong> results<br />

showed no substantial correlation between genetic<br />

variation and phenotypic variation among <strong>Swiss</strong><br />

populations. <strong>The</strong>se results imply that outbreeding<br />

and effective gene exchange (long-distance spore<br />

dispersal) are the keys to population structure

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