Population abundance
Population abundance on World Data Ocean: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on population abundance in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around population abundance, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
MAELSTROM, a machine learning-based approach for stock assessment
Effective fisheries management demands a balance between resource utilization and ecological sustainability. Introducing Maelstrom, a novel, machine learning-based approach to stock assessment that addresses limitations of traditional models. This multispecies predictive model, built on neural networks, integrates fishery-dependent and -independent data to forecast stock abundance, even with shorter time series. Benchmarked against the established a4a framework, Maelstrom demonstrates comparable accuracy and highlights the value of considering ecological interactions.
Disentangling drivers of Magellanic penguin demography: climate variability and terrestrial predation at Southern Patagonia
Magellanic penguin populations in Southern Patagonia face complex interplay between climate and local pressures. A 15-year analysis of reproductive data (2010–2025) and 10 years of population abundance reveals a decoupling of factors driving breeding success versus overall population size. While breeding success is significantly influenced by climate indicators (Southern Annular Mode, SST) and puma predation, population abundance remained stable, demonstrating climate’s dominant role in interannual breeding dynamics. Understanding these dynamics is critical for effective conservation strategies.