Species that require long day conditions to flower are not advancing their flowering phenology as fast as species without photoperiod requirements.

Background And Aims: Over the last few decades, many plant species have shown changes in phenology, such as the date on which they germinate, bud or flower. However, some species are changing slower than others, potentially due to daylength (photoperiod) requirements.

Methods: We combined data on flowering time advancement with published records of photoperiod sensitivity to try to predict which species are advancing their flowering time.

Detecting steps in spatial genetic data: Which diversity measures are best?

Accurately detecting sudden changes, or steps, in genetic diversity across landscapes is important for locating barriers to gene flow, identifying selectively important loci, and defining management units. However, there are many metrics that researchers could use to detect steps and little information on which might be the most robust. Our study aimed to determine the best measure/s for genetic step detection along linear gradients using biallelic single nucleotide polymorphism (SNP) data.