Skip to main content

Preprints

Filtering by Subject: Aquaculture and Fisheries Life Sciences

Nature’s role in national security

Bradley J Cardinale, J. Emmett Duffy, Rod Schoonover

Published: 2025-10-31
Subjects: Aquaculture and Fisheries Life Sciences, Ecology and Evolutionary Biology, Environmental Health and Protection, Environmental Studies, Marine Biology, Natural Resources and Conservation, Natural Resources Management and Policy

The ability of a nation to protect its citizens, institutions, and interests from domestic and foreign threats is one of the foundational responsibilities of any government. However, the ability of sovereign nations to ensure national security for their citizens and institutions has been increasingly challenged by various forms of anthropogenic global change. While the link between climate change [...]

Uncertain seafood sustainability in a manufactured crisis

Halley E. Froehlich, Jessica A Gephart

Published: 2025-04-26
Subjects: Aquaculture and Fisheries Life Sciences, Environmental Studies

In 2025, the United States (U.S.) administration issued a new Executive Order (EO), Restoring American Seafood Competitiveness, intensifying efforts to deregulate the seafood sector under the guise of promoting domestic industry. Building on the 2020 EO (Promoting American Seafood Competitiveness and Economic Growth), this policy marks a significant escalation in dismantling federal regulatory [...]

Resilient foods for preventing global famine: a review of food supply interventions for global catastrophic food shocks including nuclear winter and infrastructure collapse

Juan Bartolomé García Martínez, Jeffray Behr, Joshua M. Pearce, et al.

Published: 2024-09-12
Subjects: Agricultural Science, Agriculture, Animal Sciences, Aquaculture and Fisheries Life Sciences, Chemical Engineering, Engineering, Food Science, Life Sciences, Plant Sciences, Risk Analysis

Global catastrophic threats to the food system upon which human society depends are numerous. A nuclear war or volcanic eruption could collapse agricultural yields by inhibiting crop growth. Nuclear electromagnetic pulses or extreme pandemics could disrupt industry and mass-scale food supply by unprecedented levels. Global food storage is limited. What can be done? This article presents the state [...]

Tracing timing of growth in cultured mollusks using strontium spiking

Niels J. de Winter, Sterre van Sikkeleras, Barbara Goudsmit-Hazevoort, et al.

Published: 2022-12-23
Subjects: Aquaculture and Fisheries Life Sciences, Biogeochemistry, Geochemistry, Paleontology

Growth experiments present a powerful tool for determining the effect of environmental parameters on growth and carbonate composition in biogenic calcifiers. For successful proxy calibration and biomineralization studies, it is vital to exactly identify volumes of carbonate precipitated at precise intervals during the experiment. Here, we investigate the use of strontium labelling in mollusk [...]

Revealing the Global Longline Fleet with Satellite Radar

David Allen Kroodsma, Tim Hochberg, Pete Davis, et al.

Published: 2022-04-06
Subjects: Aquaculture and Fisheries Life Sciences, Remote Sensing

Because many vessels use the Automatic Identification System (AIS) to broadcast GPS positions, recent advances in satellite technology have enabled us to map global fishing activity. Understanding of human activity at sea, however, is limited because an unknown number of vessels do not broadcast AIS. Those vessels can be detected by satellite-based Synthetic Aperture Radar (SAR) imagery, but this [...]

Fish species classification in underwater video monitoring using Convolutional Neural Networks

Frederik Kratzert, Helmut Mader

Published: 2018-05-15
Subjects: Animal Sciences, Aquaculture and Fisheries Life Sciences, Computer Sciences, Environmental Monitoring, Environmental Sciences, Life Sciences, Other Life Sciences, Physical Sciences and Mathematics, Software Engineering

This report presents a case study for automatic fish species classification in underwater video monitoring of fish passes. Although the presented approach is based on the FishCam monitoring system, it can be used with any video-based monitoring system. The presented classification scheme in this study, is based on Convolutional Neural Networks that do not require the calculation of any [...]

  • 1 
search

You can search by:

  • Title
  • Keywords
  • Author Name
  • Author Affiliation