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For these reasons, the model should be useful in conservation settings.
In particular, given the necessity of understanding the uniqueness of different conservation settings (e.g. Parks compared to markets) and the potential role of various stakeholders (e.g. Park management, local villagers, etc)., the EMMIE framework is well suited to assess SCP approaches specifically tailored for wildlife crime.
The importance of evolution in rescuing populations is unequivocal in medical settings, but remains unclear in conservation settings (Barrett and Hendry 2012).
Assisted migration is increasingly seen as a viable strategy for commercial and conservation settings (Broadmeadow et al. 2005; Stone 2010; Dawson et al. 2011).
While control is less direct in conservation settings, interventions nonetheless manipulate selection pressures, for instance by altering spatial features of the habitat (e.g. designating protected areas or corridors).
For example, models developed for conservation settings have dealt with a wider variety of genetic bases of adaptation (many small-effect loci or few large-effect loci), which could prove useful when studying pathogens facing complex treatment regimes.
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The input parameter selection for the sequence-based methods is simpler than it is for the gene-based methods, as there are no search region or conservation level settings to specify.
If geophysical diversity does drive regional diversity, then conserving geophysical settings may offer an approach to conservation that protects diversity under both current and future climates.
We emphasize that conserving geophysical settings is a strategy for long term conservation success in a dynamic climate, and not for preventing immediate local extinctions.
Applying a property-rights analytic perspective, we synthesize information on urban green commons from three case-study regions in Sweden, Germany, and South Africa, and elaborate on their role for biodiversity conservation in urban settings, with a focus on business sites.
The alternative approach of basing conservation on geophysical settings, rather than predicted distributions of individual species, may be more effective in conserving biodiversity over long time scales.
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