Suchergebnisse

Compensation schemes in which land owners receive payments for voluntarily managing their land in a biodiversity-enhancing manner have become one of the most important instruments for biodiversity conservation worldwide. One key challenge when designing such schemes is to account for the spatial arrangement of habitats bearing in mind that for given total habitat area connected habitats are ecologically more valuable than isolated habitats. To integrate the spatial dimension in compensation schemes and based on the idea of an agglomeration bonus we consider a scheme in which land-owners only receive payments if managed patches are arranged in a specific spatial configuration. We compare the cost-effectiveness of agglomeration payments with spatially homogeneous payments on a conceptual level and for a real world case and find that efficiency gains of agglomeration payments are positive or zero but never negative. In the real world case, agglomeration payments lead to cost-savings of up to 70% compared to spatially homogeneous payments.

Biodiversity loss in Europe is caused to a large extent by agricultural intensification. To halt this loss and to support species and habitat types in agricultural areas, agri-environment schemes have been introduced in Europe to compensate farmers for (costly) conservation measures. Currently, agri-environment schemes for grassland in general consider only a few conservation measures with fixed dates and a payment for average opportunity costs, e.g. for later mowing. A systematic approach that calculates farmers' opportunity costs in relation to the timing of grassland use is still lacking. We fill this gap by developing a systematic agri-economic cost assessment approach. Our approach is general enough to be applicable on a large spatial scale but can still sensitively differentiate among different timings. Moreover it is straightforward and time-saving enough to be suitable for implementation in regional scale optimisation procedures. We demonstrate this by applying the systematic cost assessment in the decision support software DSS-Ecopay using the example of grassland species and habitats conservation in the German federal state of Saxony.

An approach is present which integrates an economic and an ecological model for designing cost-effective compensation payments for conservation of endangered species in real landscapes. The approach is used to develop a cost-effective compensation payment scheme for conservation of an endangered butterfly species (Maculinea teleius) protected by the EU Habitats Directive in the region of Landau, Germany. The economic model determines the costs of relevant conservation measures mowing meadows at different times and frequencies - and the ecological model quantifies the effects of these mowing regimes on the butterfly population. By comparing the ecological effects of different mowing regimes, the cost-effective regime and the corresponding payments are determined as a function of the conservation budget. The results of the case study are used to analyse the effect of metapopulation dynamics on the cost-effectiveness of compensation payment schemes, to evaluate an existing scheme in the region of Landau and to draw conclusions for the institutional design of payment schemes.

Biodiversity loss in Europe is caused to a large extent by agricultural intensification. To halt this loss and to support species and habitat types in agricultural areas, agri-environment schemes have been introduced in Europe to compensate farmers for (costly) conservation measures. Currently, agri-environment schemes for grassland in general consider only a few conservation measures with fixed dates and a payment for average opportunity costs, e.g. for later mowing. A systematic approach that calculates farmers` opportunity costs in relation to the timing of grassland use is still lacking. We fill this gap by developing a systematic agri-economic cost assessment approach. Our approach is general enough to be applicable on a large spatial scale but can still sensitively differentiate among different timings. Moreover it is straightforward and time-saving enough to be suitable for implementation in regional scale optimisation procedures. We demonstrate this by applying the systematic cost assessment in the decision support software DSS-Ecopay using the example of grassland species and habitats conservation in the German federal state of Saxony.