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Quantifying spatial genetic structure is key to inform forest management and restoration strategies. Reliable evaluations of genetic structure require sound sampling schemes because inappropriate sampling may over- and under-estimate spatial patterns of genetic structure. Sampling bias has been investigated through computer simulations mostly for animal species with continuous distributions. For tree...
An important research gap in landscape genetics is the impact of different field sampling designs on the ability to detect the effects of landscape pattern on gene flow. We evaluated how five different sampling regimes (random, linear, systematic, cluster, and single study site) affected the probability of correctly identifying the generating landscape process of population structure. Sampling regimes...
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