Nazlı Demirel

TL;DR: In this article, a Monte Carlo method (CMSY) was used for estimating fisheries reference points from catch, resilience and qualitative stock status information on data-limited stocks, which gave good predictions of the maximum intrinsic rate of population increase r, unexploited stock size k and maximum sustainable yield MSY when validated against simulated data with known parameter values.

TL;DR: In this paper, the authors examined the current status, exploitation pattern, required time for rebuilding, future catch, and future profitability for 397 European stocks and found that exploitation levels of 50-80% of the maximum will rebuild stocks and lead to higher catches than currently obtained, with substantially higher profits for the fishers.

TL;DR: In this article, the authors present a new method (LBB) for the analysis of length frequency data from commercial catches, which works for species that grow throughout their lives, such as most commercially important worms and invertebrates.

TL;DR: It is concluded that evolutionary theory, population dynamics theory, ecosystem models with realistic assumptions and settings, and widespread empirical evidence do not support the BH proposal and will hinder the policy changes needed for the rebuilding of ecosystems, healthy fish populations, and sustainable fisheries.

TL;DR: In this article, Hordyk et al. claim that the master equation of LBB is incomplete because it does not correct for the pile-up effect caused by aggregating length measurements into length classes or bins.