Journal
TRENDS IN ECOLOGY & EVOLUTION
Volume 32, Issue 12, Pages 948-963Publisher
CELL PRESS
DOI: 10.1016/j.tree.2017.09.012
Keywords
-
Categories
Funding
- Spanish government
- BBSRC [BB/J020567/1]
- BBSRC [BB/J020567/1] Funding Source: UKRI
Ask authors/readers for more resources
Information or entropy analysis of diversity is used extensively in community ecology, and has recently been exploited for prediction and analysis in molecular ecology and evolution. Information measures belong to a spectrum (or q profile) of measures whose contrasting properties provide a rich summary of diversity, including allelic richness (q = 0), Shannon information (q = 1), and heterozygosity (q = 2). We present the merits of information measures for describing and forecasting molecular variation within and among groups, comparing forecasts with data, and evaluating underlying processes such as dispersal. Importantly, information measures directly link causal processes and divergence outcomes, have straightforward relationship to allele frequency differences (including monotonicity that q = 2 lacks), and show additivity across hierarchical layers such as ecology, behaviour, cellular processes, and nongenetic inheritance.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available