Statistical analyses of life-history data
We employ a wide array of statistical approaches for analysing life-history data from fisheries and fisheries surveys.
Vast amounts of individual data are collected annually for monitoring and assessment of commercially important fish stocks.These data are a valuable source of information for studies that extend far beyond the original goals of data collection.
An interesting question for EvoFish is whether we can detect signs of fisheries-induced evolution in fish data. The challenge is that outside controlled environments, phenotypic data alone cannot prove evolutionary (i.e., genetic change). Change in phenotypic population characteristics is influenced by population demography and phenotypic plasticity. These can never be fully disentangled from genetic-based changes, but their influence can nevertheless be reduced. A useful tool for this is the probabilistic maturation reaction norm analysis we have been developing over the years. The approach has been used by us and many others to study maturation trends in numerous fish stocks all over the world.
Probabilistic maturation reaction norms (PMRN) were originally introduced by Heino, Dieckmann & Godø (2002). A general discussion about their strengths and limitations was presented by Dieckmann & Heino (2007), and a general overview of the approach is presented by Heino & Dieckmann (2008).
Working group on fisheries-induced evolution in Bergen
Next week specialists in fisheries-induced evolution will meet in Bergen.
To grow or not to grow?
Evolution of growth is an evolutionary puzzle, and adding fisheries selection does not make that any easier. A new paper from EvoFish aims at clarifying our thoughts about growth evolution.
Can fisheries-induced evolution shift reference points for fisheries management?
A new paper in the ICES Journal of Marine Science discusses whether and how fisheries-induced evolution will shift reference points, a key tool in fisheries management.