Environmental Engineering Reference
In-Depth Information
The compilation of measures and their effects illustrates that certain measures
serve multiple landscape functions (Fig. 13.2 ). Some measures (M1, M10) are
used in different sectoral scenarios. These are potential multifunctional measures.
Furthermore, some measures have synergizing effects or additional benefits for
multiple landscape functions. Measures for minimizing CO 2 emissions and for
safeguarding biodiversity (e.g. M11, M13, M14, M16, M17) show the highest
general multifunctionality.
In the overview of Table 13.2 , there are no generally conflicting measures.
However, when the measures are applied to the site, conflicts may occur (von
Haaren et al. 2011 ). Also the extent to which the (general) effects actually occur
depends on the allocation of measures and respective site-conditions.
13.3.3.3 Efficiency of Measures
The efficiency analysis of the different management measures was based on
implementation costs that were derived from two sources. First, from Osterburg
and Runge ( 2007 ) who give an overview of average implementation costs for
management measures that are included in agri-environmental (AEM) programs.
The provided costs can be used to calculate land use integrated measures. Second,
the Thuringian Ministry for Agriculture, Forestry, Environment and Nature Con-
servation ( 2003 ) provides average cost rates for compensation measures from the
German Impact Regulation. These rates were used to calculate the costs of
implementing nature conservation measures that are not land use integrated or
allow only minor additional revenues from the land where the measure is taken. In
both cases theses average cost rates neglect site conditions or farm specifics which
may influence the real costs needed for implementation. Still, the applied costs
were considered sufficiently reliable for a comparison of the different scenarios
and an assessment of the differences in costs.
13.3.4 Developing an Uncoordinated and an Integrative
Management Scenario
13.3.4.1 Scenario of Uncoordinated Sectoral Measures
The scenario of uncoordinated sectoral measures (scenario 1) is build up of a
combination of four separate sectoral scenarios: erosion prevention (sectoral sce-
nario E), safeguarding biodiversity (sectoral scenario B), climate change mitiga-
tion (sectoral scenario C) and water quality conservation (sectoral scanrio W). In
each sectoral scenario, measures were selected and allocated to safeguard and
enhance the particular landscape function. Two alternatives were calculated: In the
first alternative, termed 'best case', measures were chosen that completely fulfilled
 
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