Catch Efficiency of Multi-Mesh Trammel Nets for Sampling Freshwater Fishes

Author:

Cheng Zhaohai12,Gao Lei1,Yu Lixiong1,Duan Xinbin1,Zhu Fengyue1,Tian Huiwu1,Chen Daqing1,Liu Mingdian1

Affiliation:

1. National Agricultural Science Observing and Experimental Station of Chongqing, Fishery Resources and Environmental Science Experimental Station of the Upper-Middle Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Science, Wuhan 430223, China

2. School of Environmental Science and Engineering, Hubei Polytechnic University, Huangshi 435003, China

Abstract

A multi-mesh trammel net has been developed and used for sampling freshwater fishes. However, little is known about the catch efficiency of the net. This research investigated the catch efficiency of a multi-mesh trammel net (nominal mesh size; 10.0, 30.0, 50.0, and 70.0 mm) for fish sampling in the Yangtze River of China. Catch composition and factors affecting catch per unit effort based on fish number (CPUEN), weight (CPUEW), and species number (CPUES) were analyzed. The results showed that the net was capable of capturing a wide range of fish sizes (total length, 5.5 to 121.0 cm) and species (n = 50). Increasing soak time from 9.4 to 24.0 h resulted in a decrease in CPUEN and CPUEW while a longer soak time increased CPUES. CPUEN, CPUEW, and CPUES varied significantly with fishing locations. The net provides a potential complement to the current fish sampling techniques used in freshwater ecosystems (e.g., large rivers, lakes, and reservoirs). The findings of this research help to improve our understanding of the catch efficiency of the multi-mesh trammel net and provides insight into better designs for gears and methods for sampling diverse fish sizes and species.

Funder

National Key R&D Program of China

National Natural Science Foundation of China—Ministry of Water Resources of the People’s Republic of China and China Three Gorges Corporation—Yangtze River Water Science Research Joint Fund Project

Innovation Team Project of Chinese Academy of Fishery Sciences

Publisher

MDPI AG

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

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