• Energy Research

AbstractKnowing the distribution of fish larvae can inform fisheries science and resource management in several ways, by: 1) providing information on spawning areas; 2) identifying key areas to manage and conserve; and 3) helping to understand how fish populations are affected by anthropogenic pressures, such as overfishing and climate change. With the expansion of industrial fishing activity after 1945, there was increased sampling of fish larvae to help better understand variation in fish stocks. However, large-scale larval records are rare and often unavailable. Here we digitize data from Nishikawa et al. (1985), which were collected from 1956–1981 and are near-global (50°N–50°S), seasonal distribution maps of fish larvae of 18 mainly commercial pelagic taxa of the families Scombridae, Xiphiidae, Istiophoridae, Scombrolabracidae, and Scomberesocidae. Data were collected from the Pacific, Atlantic, and Indian Oceans. We present four seasonal 1° × 1° resolution maps per taxa representing larval abundance per grid cell and highlight some of the main patterns. Data are made available as delimited text, raster, and vector files.

Abstract Ecosystem function and variability of eastern boundary upwelling systems is linked to the population dynamics of coastal pelagic fish. Developing population dynamics models of coastal pelagic species over many decades has unique challenges, and can benefit from the integration of multiple disparate sources of fisheries and resource survey information. Northern anchovy (Engraulis mordax) are vital trophic links in the food web of the California Current Ecosystem. Previous studies of this anchovy population had relatively narrow temporal ranges or focused on a single data source (e.g. larval abundance data). Here, we combine data sets that have informed previous studies, into one integrated statistical catch-at-age population dynamics model to estimate extended biomass and recruitment trends, providing a comprehensive account of anchovy dynamics from 1965–2021. Our results are consistent with previous biomass estimates but show an earlier peak in the 1970s that coincided with the peak of the US reduction fishery. Our results can facilitate an in-depth analysis of the environmental drivers influencing successful anchovy recruitment, serve to parameterize and evaluate performance of ecological models that mechanistically link the environment and food web to anchovy population dynamics and distribution, and provide the basis for a management strategy evaluation of this anchovy stock.

Across the world’s oceans, western boundary currents are strengthening and warming faster than the global average. This is expected to have large impacts on the distribution of pelagic fishes, as their dispersal and physiological range limits shift. Monitoring the distribution of larval fish assemblages, sampled with plankton nets, allows for population and community-level responses to climate-driven changes to be observed without reliance on fisheries data. Here, we characterise patterns in the distribution of larval fish over 15° of latitude with highly variable conditions driven by a western boundary current, the East Australian Current, using a newly available larval fish database supplemented with recently collected samples. Using generalized additive mixed models, we show strong non-linear relationships between larval fish taxonomic richness and abundance with latitude. During autumn, winter and spring, both larval fish abundance and richness are greater in equatorward latitudes (28°S) than in more poleward ones (43°S), with this pattern reversed during the summer. The region where the East Australian Current separates from the coast delineates a zone of marked change in larval fish richness and abundance. Analyses of larval fish assemblages using Gaussian copula graphics models revealed a strong association between assemblage composition and temperature. The direction of temperature effects on individual taxa varied greatly, highlighting the complex nature of possible climate-driven shifts. Our study highlights the utility of compiling multi-voyage databases and their role in monitoring the global oceans.