When designing financial incentives for voluntary conservation of threatened habitats and ecosystems, we are faced with the problem that there is no single indicator for "biodiversity value". The value of a habitat depends on multiple factors such as habitat type, area, and spatial and temporal connectivity. Moreover, not only are there local trade-offs between these indicators, but land use changes at one location may also change the value of sites in the vicinity. This doctoral thesis analyzes the consequences of including trade-offs and interactions between sites in market-based conservation schemes. We ask the following questions: How can trade-offs between the survival of different species be quantified? How can spatial processes and temporal processes be included in market-based conservation, in particular the value of spatial and temporal connectivity? And how do underlying economic dynamics relate to the spatio-temporal allocation of conservation measures in market-based conservation schemes?