In this study the event- and physically based OpenLISEM soil erosion model was compared to the landscape evolution model LAPSUS, deliberately extending and shortening the timescales for which each model was developed.
This discrepancy can be understood in relation to the relative timescales for which these different classes of test statistics are sensitive to detect selection.
Importantly, this allows detection at timescales for which standard frequency spectrum-based tests lack power (Green et al. 2010, Supplementary Material online).
One hypothesis is that species that track climate change well over the timescales for which we have data (or focus our analyses) may suffer major population losses during years of extreme climate.
Their limited sampling, however, on the 20 ns timescale for ubiquitin, which is composed of predominantly beta structure with only a small helical region, is not indicative of the ability of this force field to adequately stabilize helical structure on longer timescales.
In addition to the limitations of the fossil record in preserving ecological shifts, such shifts may be more easily detected at the species level over the course of longer timescales (10-109 years, for which fossil data is not available in all biomes) than shorter ones (103 years).
The second timescale is the 'personal timescale', which allows for planning and actions that occur over the time course of roughly two human generations (defined here as 44 years).
