Blog originally posted in November 2013 at Stirling Conservation Science
As conservationists, we endeavour providing increasingly better solutions for conservation issues, based on reliable information and robust understanding of the dynamics of the systems under consideration. However, despite our efforts in collecting data and learning about our study systems, increasing predictability and improving conservation implementation, conservation is both uncertain and dynamic. Uncertainty is very common in natural resource management and conservation; decisions may be affected by, for example, stochastic environmental variation, limited ability to observe wildlife and a lack of understanding about functional responses. So should we just give up and throw a coin when making decisions? On the contrary: we should investigate multiple types of uncertainty and their potential implications so that we can support better decisions. And that’s exactly what I did during my recently finished doctoral studies.
As conservationists, we endeavour providing increasingly better solutions for conservation issues, based on reliable information and robust understanding of the dynamics of the systems under consideration. However, despite our efforts in collecting data and learning about our study systems, increasing predictability and improving conservation implementation, conservation is both uncertain and dynamic. Uncertainty is very common in natural resource management and conservation; decisions may be affected by, for example, stochastic environmental variation, limited ability to observe wildlife and a lack of understanding about functional responses. So should we just give up and throw a coin when making decisions? On the contrary: we should investigate multiple types of uncertainty and their potential implications so that we can support better decisions. And that’s exactly what I did during my recently finished doctoral studies.
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