Evaluation of density and biomass of arctic charr Salvelinus alpines (L.) complex (Salmoniformes, Salmonidae) from two oligotrophic lakes in Krasnoyarsk Territory

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Abstract

The paper considers the method of fish density estimation by gill net catches of different mesh size. The method is based on the analysis of the number of fish of different size groups approaching the net by simulating the movement of fish resulting in interaction with the net. The method include technical parameters of the net, morphometric features of fish and their behavioral characteristics. The process of interaction between fish and gill net is splitted into a series of sequential stages, each of which has its own probability calculated. The parameters necessary for the calculation are obtained from the primary analysis of catches and partly from literature data. For abundance estimation, its sensitivity to a number of key model parameters is shown. Density estimates were obtained for Arctic charr Salvelinus alpinus (L.) from various locations in Lama and Kapchuk lakes, Krasnoyarsk Territory.

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About the authors

Fyodor S. Lobyrev

Lomonosov Moscow State University

Author for correspondence.
Email: lobyrev@mail.ru
ORCID iD: 0000-0003-4258-8765

Candidate of Sciences in Biology, Researcher

Russian Federation, Moscow

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2. Fig. 1. Different stages of fish interaction with the gillnet. NTotal is the total number of fish that touched the net, NW is the number of fish that swam, NT is the number of fish that became entangled. Probabilities: P(O|C) - fish entering the mesh when touched, P(Th|C) - mouth on the thread when touched, P(E|O) - entering the mesh, P(W|E) - retention in the net through declawing, P(T|Th) - retention in the net through entanglement. The vertical dash denotes conditional probability

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3. Fig. 2. Schematic of the gillnet trapping zone; each point in the upper quarter of the zone is a node for which the probability is calculated according to formula (13), L is the length of the net

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4. Fig. 3. Nomogram for estimating the probability P(AF) of fish approaching the net for different values of ρ and L

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5. Fig. 4. Map-scheme of the study area; the numbers indicate the locations of catching on Lama and Kapchuk lakes

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