Linking Restoration and Ecological Succession (Springer ... - Inecol
Linking Restoration and Ecological Succession (Springer ... - Inecol
Linking Restoration and Ecological Succession (Springer ... - Inecol
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92 Joachim Schrautzer et al.<br />
basis of theoretical considerations to represent the functionality of l<strong>and</strong>scape<br />
units <strong>and</strong> elements of environmental thermodynamics (Joergensen 2001). This<br />
selection is achieved by coupling gradient theory (Müller 1998) <strong>and</strong> orientor<br />
theory (Müller <strong>and</strong> Fath 1998). The result is a small set of indicators capable of<br />
representing ecosystem states <strong>and</strong> ecosystem integrity as a whole, i.e., focusing<br />
on the potential to develop self-organized processes (Müller et al. 2006). These<br />
characteristics are represented by orientors, that is, ecosystem variables that<br />
should increase throughout an untreated succession following ab<strong>and</strong>onment<br />
(Müller <strong>and</strong> Joergensen 2000). Changes in the indicators associated with fen<br />
restoration measures (rewetting, grazing, <strong>and</strong> mowing without fertilization) or<br />
ab<strong>and</strong>onment are modeled using a data set from our long-term experimental<br />
sites to parameterize the model. The Water <strong>and</strong> Substance Simulation Model<br />
WASMOD of Reiche (1994) was used for the simulations. Simulation modeling<br />
is used because data concerning the long-term changes in the process drivers<br />
of the water, carbon, <strong>and</strong> nutrient budgets are scarce. We use our own data to<br />
illustrate the establishment of species on fen sites, <strong>and</strong> what happens to species<br />
richness on these sites given cattle grazing <strong>and</strong> mowing. Finally, we include<br />
data concerning the longevity of seeds in the soils to assess the potential for<br />
reintroduction of target species in degraded fens. We conclude with a discussion<br />
of factors limiting the success of these restoration measures <strong>and</strong> the broader<br />
implications for the restoration of fens elsewhere in the region.<br />
5.2 Methods, Concepts, <strong>and</strong> Data Sets<br />
5.2.1 The Basic Set of Ecosystem Indicators<br />
The indicators chosen for this study have been compiled to represent ecosystem<br />
states as holistic entities. The variables refer to the following components of<br />
ecosystems (see Table 5.2):<br />
Ecosystem structures: Following the orientor approach for successional phases<br />
in undisturbed ecosystems, it can be hypothesized that the number of species<br />
increases through time, <strong>and</strong> that abiotic mechanisms become more complex.<br />
These changes are accompanied by increased ecosystem heterogeneity <strong>and</strong><br />
complexity.<br />
Ecosystem functions: Ecosystem processes can follow orientor behavior during<br />
succession. Due to increasing numbers of structural elements, the processes<br />
Table 5.2 Indicators selected to represent basic ecosystem components.<br />
Ecosystem component Indicator(S)<br />
Biotic structures Number of plant species<br />
Energy budgets, exergy capture Net primary production (NPP)<br />
Energy budgets, entropy production Microbial soil respiration (MSR)<br />
Energy budgets—metabolic efficiency NPP/soil respiration<br />
Hydrological budgets—biotic water flows NPP/transpiration<br />
Chemical budgets—nutrient loss Net nitrogen mineralization (NNM)<br />
Nitrate leaching<br />
Denitrification<br />
Chemical budgets, storage capacity Nitrogen balance<br />
Carbon balance