4.7 Article

A habitat suitability model for Chinese sturgeon determined using the generalized additive method

期刊

JOURNAL OF HYDROLOGY
卷 534, 期 -, 页码 11-18

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2015.12.055

关键词

Habitat suitability model; GAM; Fish habitat; Chinese sturgeon; Spawning; Dam

资金

  1. National Natural Science Foundation of China [51439001, 51279220]
  2. Fundamental Research Funds for the Central Universities

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The Chinese sturgeon is a type of large anadromous fish that migrates between the ocean and rivers. Because of the construction of dams, this sturgeon's migration path has been cut off, and this species currently is on the verge of extinction. Simulating suitable environmental conditions for spawning followed by repairing or rebuilding its spawning grounds are effective ways to protect this species. Various habitat suitability models based on expert knowledge have been used to evaluate the suitability of spawning habitat. In this study, a two-dimensional hydraulic simulation is used to inform a habitat suitability model based on the generalized additive method (GAM). The GAM is based on real data. The values of water depth and velocity are calculated first via the hydrodynamic model and later applied in the GAM. The final habitat suitability model is validated using the catch per unit effort (CPUEd) data of 1999 and 2003. The model results show that a velocity of 1.06-1.56 m/s and a depth of 13.33-20.33 m are highly suitable ranges for the Chinese sturgeon to spawn. The hydraulic habitat suitability indexes (HHSI) for seven discharges (4000; 9000; 12,000; 16,000; 20,000; 30,000; and 40,000 m(3)/s) are calculated to evaluate integrated habitat suitability. The results show that the integrated habitat suitability reaches its highest value at a discharge of 16,000 m3/s. This study is the first to apply a GAM to evaluate the suitability of spawning grounds for the Chinese sturgeon. The study provides a reference for the identification of potential spawning grounds in the entire basin. (C) 2016 Elsevier B.V. All rights reserved.

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