Brown trout spawning habitat selection and its effects on egg survival

2015 ◽  
Vol 26 (1) ◽  
pp. 133-140 ◽  
Author(s):  
Zoé Gauthey ◽  
Margaret Lang ◽  
Arturo Elosegi ◽  
Cédric Tentelier ◽  
Jacques Rives ◽  
...  
Keyword(s):  
Habitat Selection ◽  
Brown Trout ◽  
Spawning Habitat ◽  
Egg Survival

Spawning-habitat selection of an Indo-Pacific amphidromous gobiid fish, Sicyopterus lagocephalus (Pallas)

2013 ◽  
Vol 64 (11) ◽  
pp. 1058 ◽  
Author(s):  
Nils Teichert ◽  
Pierre Valade ◽  
Pierre Bosc ◽  
Marine Richarson ◽  
Philippe Gaudin
Keyword(s):  
Habitat Selection ◽  
Logistic Models ◽  
Sampling Procedure ◽  
Limiting Factor ◽  
Spawning Habitat ◽  
Gobiid Fish ◽  
Spawning Areas ◽  
Selection For ◽  
Geomorphic Units ◽  
Selection Of

Freshwater-fish populations of the Indo-pacific region are characterised by a large proportion of amphidromous species. We analysed the spawning-habitat selection of Sicyopterus lagocephalus (Gobiidae: Sicydiinae) within two rivers of the Reunion Island. Reproduction traces are rare events, so a presence-only sampling procedure was performed to collect egg clutches and a random description of available habitat was conducted to generate pseudo-absence data. Logistic models showed a strong selection for microhabitat variables and mesohabitat units. S. lagocephalus selected areas where availability of potential nests was high (small cobble to small boulder) and where interstitial substratum allowed intragravel flow. Our results suggest that the availability of favourable substratum may be a limiting factor, which could result in occupancy of suboptimal areas. Water depth and velocity had less of an effect on the selection of a spawning area. Higher selection for shallow (<60 cm) and lotic (>30 cm s–1) geomorphic units, with an optimum for riffle and cascade, suggested that mesohabitat could be a satisfactory approach to quickly assess the availability of spawning areas within a watercourse for expertise studies.

Ontogenetic and spatial variations in brown trout habitat selection

2010 ◽  
Vol 19 (3) ◽  
pp. 420-432 ◽  
Author(s):  
D. Ayllón ◽  
A. Almodóvar ◽  
G. G. Nicola ◽  
B. Elvira
Keyword(s):  
Habitat Selection ◽  
Brown Trout ◽  
Spatial Variations

scholarly journals Spawning Habitat Selection of Hickory Shad

2011 ◽  
Vol 31 (3) ◽  
pp. 495-505 ◽  
Author(s):  
Julianne E. Harris ◽  
Joseph E. Hightower
Keyword(s):  
Habitat Selection ◽  
Spawning Habitat ◽  
Selection Of

scholarly journals Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change

2018 ◽  
Vol 386 ◽  
pp. 98-114 ◽  
Author(s):  
Rafael Muñoz-Mas ◽  
Patricia Marcos-Garcia ◽  
Antonio Lopez-Nicolas ◽  
Francisco J. Martínez-García ◽  
Manuel Pulido-Velazquez ◽  
...  
Keyword(s):  
Climate Change ◽  
Brown Trout ◽  
Salmo Trutta ◽  
Habitat Degradation ◽  
Data Driven ◽  
Spawning Habitat ◽  
Fuzzy Models ◽  
Brown Trout Salmo Trutta

scholarly journals Brown trout redd superimposition in relation to spawning habitat availability

2012 ◽  
Vol 21 (2) ◽  
pp. 283-292 ◽  
Author(s):  
Javier Gortázar ◽  
Carlos Alonso ◽  
Diego García de Jalón
Keyword(s):  
Brown Trout ◽  
Habitat Availability ◽  
Spawning Habitat ◽  
Redd Superimposition

Examining feeding strategies and position choice of drift-feeding salmonids using an individual-based, mechanistic foraging model

2001 ◽  
Vol 58 (3) ◽  
pp. 446-457 ◽  
Author(s):  
G R Guensch ◽  
T B Hardy ◽  
R C Addley
Keyword(s):  
Habitat Selection ◽  
Energy Intake ◽  
Brown Trout ◽  
Salmo Trutta ◽  
Prey Capture ◽  
Feeding Strategies ◽  
Net Energy ◽  
Intake Rate ◽  
Drift Feeding ◽  
Energy Intake Rate

We demonstrated the ability of a mechanistic habitat selection model to predict habitat selection of brown trout (Salmo trutta) and mountain whitefish (Prosopium williamsoni) during summer and winter conditions in the Blacksmith Fork River, Utah. By subtracting energy costs and losses from the gross energy intake rate (GEI) obtained through simulation of prey capture, the model calculates the potential net energy intake rate (NEI) of a given stream position, which is essentially the rate of energy intake available for growth and reproduction. The prey capture model incorporates the size, swimming speed, and reaction distance of the fish; the velocity, depth, temperature, and turbidity of the water; and the density and size composition of the drifting invertebrates. The results suggest that during both summer and winter, the brown trout and mountain whitefish in our study reach avoided locations providing low NEI and preferred locations providing a high ratio of NEI to the swimming cost (SC) at the focal position of the fish (NEI/SC). This supports the idea that the drift-feeding fish in this study selected stream positions that provided adequate NEI for the least amount of swimming effort.

Sign in / Sign up

Export Citation Format

Share Document