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The Age of Atlantic Salmon: A Deep Dive

Learn how scientists estimate the age of Atlantic salmon for conservation efforts.

Kjell Rong Utne, Marine Servane Ono Brieuc, Per Tommy Fjeldheim, Kurt Urdal, Gunnel Marie Østborg, Kevin A. Glover, Alison Harvey, Øystein Skaala

― 6 min read


Salmon Age Study Insights Salmon Age Study Insights conservation success. Unlocking age data for salmon
Table of Contents

Atlantic Salmon are fascinating creatures that embark on long journeys between rivers and oceans. These fish have an interesting life cycle, and understanding their age is essential for their management and conservation. Scientists use various methods to estimate their ages, with scale reading being one of the most common techniques. This report explores the importance of age estimation, the methods used, and the findings related to Atlantic salmon from a unique dataset.

Why Age Matters

Knowing the age of Atlantic salmon is crucial for several reasons. Fisheries management needs to understand how many fish are in the population and how many are being caught. Additionally, studying the growth and maturation of salmon helps scientists see how these factors change over time due to environmental influences. Simply put, age helps paint a clearer picture of salmon populations and their health.

Scale Reading: The Fishy Art

Imagine trying to tell a fish's age just by looking at its scales—sounds odd, right? But that’s exactly what scientists do! Fish, like trees, have rings. As salmon grow, they develop rings on their scales called circuli. These rings can be counted to estimate the fish's age. Scales are often the preferred method because they can be easily collected without harming the fish, allowing them to be released back into the wild.

The Atlantic Salmon Journey

Atlantic salmon start their lives in Freshwater rivers before migrating to the ocean. They may spend several years at sea, growing and maturing before returning to their home rivers to spawn. The ages at which they return can vary, but this journey is a crucial phase in their life cycle.

The Study of River Etneelva

Researchers focused on salmon returning to the river Etneelva in Norway. They tagged 254 salmon with PIT tags, which allowed them to track these fish. They also collected scale samples for age reading. This unique dataset combined information about the age of the fish with their growth data, providing a goldmine of information for scientists.

The researchers monitored the fish during their journey back to the river, taking measurements of their length and weight. They also collected tissue samples for DNA analysis to understand their parentage. This comprehensive approach helped the researchers determine how many years each salmon had spent in freshwater versus at sea.

Scale Sample Collection

When scientists catch salmon, they retrieve scales from the fish carefully. Up to five scales are usually taken, but only the best quality scale is used for the age assessment. The chosen scales undergo examination under a microscope, where the circuli can be counted to determine the fish's age.

Challenges in Age Estimation

Age estimation from scales is not without challenges. Sometimes scales can be damaged, or the circuli may not be clearly visible, making it harder for scientists to determine the age. This subjectivity can lead to variations in age estimates, which is why three experienced scale readers examined the scales for accuracy.

The Importance of Accuracy

Accurate age readings are vital for understanding salmon populations. Knowing the true age helps in assessing how many salmon are returning to breed, which in turn informs fishing regulations and conservation efforts. The researchers focused on comparing estimated ages with known ages to see how precise their reading methods were.

Results of the Study

The findings from the age estimation were promising. The study found that the accuracy for estimating sea age was impressively high at 97.1%. This means that the readers were very skilled at counting the rings and determining how long the salmon had spent in the ocean. None of the readers confused the age by more than one year, which is quite a feat!

However, when it came to estimating freshwater age, the accuracy dropped to 71.7%. Since salmon grow more slowly in freshwater, estimating their age during this phase is trickier. Despite these challenges, the readers showed no systematic bias, meaning they didn’t consistently overestimate or underestimate the ages.

Freshwater vs. Sea Age

The difference between estimating freshwater and sea age is fascinating. Since salmon grow faster in the ocean, it’s easier to tell how old they are after these years compared to their time spent in the river. This variation is essential for fisheries management, which needs to be aware of how these differences affect population dynamics.

Back-Calculated Smolt Length

One interesting aspect of the study was the back-calculation of smolt length. Smolts are young salmon that migrate from freshwater to the ocean. The researchers measured the lengths of smolts based on their scales and compared these back-calculated lengths with the actual measurements. They found that the average back-calculated smolt length was slightly shorter than the measured length. So, sometimes the scales get it slightly wrong!

Statistical Analysis

To analyze the data properly, the researchers employed various statistical methods. They checked how often the readers agreed on ages and looked for any patterns in the errors. By using statistical tests, they could confidently report the accuracy of their age estimations.

Implications for Fisheries Management

The results of this study have significant implications for fisheries management. Understanding the ages of salmon can guide sustainable fishing practices, ensuring that populations remain healthy. By knowing how many fish return at different ages, management can better regulate fishing limits and preserve the species.

The Bigger Picture

This study also contributes to a broader understanding of fish populations and their health. By improving age estimation techniques, researchers can monitor changes in salmon populations over time, linking them to environmental changes and human impacts.

Conclusion

In summary, understanding the age of Atlantic salmon through scale reading is crucial for their conservation and management. While the accuracy of age estimates varies between freshwater and sea age, the findings from the study provide a positive outlook for the future of salmon populations in Norway.

As we continue to learn more about these remarkable fish, we can look forward to better management practices, ensuring that our salmon remain healthy and plentiful for generations to come. After all, it’s not just about catching fish; it’s about making sure that future generations have the opportunity to enjoy them too!

So next time you see salmon on your plate, remember that there's a whole story behind their age—and scientists are working hard to make sure that story has a happy ending!

Original Source

Title: Validating Atlantic salmon (Salmo Salar) scale reading by genetic parent assignment and PIT-tagging

Abstract: Understanding changes in abundance and survival in Atlantic salmon populations requires knowledge of growth rates and age. Salmon are typically aged through scale reading, but such estimates are rarely validated against age-verified fish from the wild. Here, we present a unique dataset of scales from 254 PIT-tagged Atlantic salmon with known sea-age. In addition, the freshwater age is known for 81 of these fish, through genetic parent-offspring identification. This dataset was used to estimate precision and bias in age readings and back-calculated length, as estimated by three independent experienced salmon scale readers. Overall, readers had an accuracy of 97.1% for sea-age and 71.7% for freshwater-age. For sea-age, scale reading was less accurate for salmon that had spent 2 or more years at sea than for salmon that had spent 1 year at sea. Freshwater age did however not affect scale reading accuracy. None of the scale readers erroneously misclassified freshwater-or sea-age with more than one year, and there was no significant pattern of misclassified ages to be under-or overestimate by the scale readers. Back-calculated smolt length was significantly different to length when measured as a smolt prior to seaward migration: it was shorter than the measured body-length for small smolts and longer for large smolts. This unique dataset, including the age-validated images of all scales, is now made openly available providing an important resource for training and testing salmon scale readers globally.

Authors: Kjell Rong Utne, Marine Servane Ono Brieuc, Per Tommy Fjeldheim, Kurt Urdal, Gunnel Marie Østborg, Kevin A. Glover, Alison Harvey, Øystein Skaala

Last Update: 2024-12-12 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.08.627404

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.08.627404.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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