Waterfowls habitat modelling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary

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@Article{Jeong20113149,

• author = "Kwang-Seuk Jeong and Ji-Deok Jang and Dong-Kyun Kim and Gea-Jae Joo",
• title = "Waterfowls habitat modelling: Simulation of nest site selection for the migratory Little Tern (Sterna albifrons) in the Nakdong estuary",
• journal = "Ecological Modelling",
• volume = "222",
• number = "17",
• pages = "3149--3156",
• year = "2011",
• ISSN = "0304-3800",
• DOI = "doi:10.1016/j.ecolmodel.2011.05.032",
• URL = "http://www.sciencedirect.com/science/article/pii/S0304380011003139",
• keywords = "genetic algorithms, genetic programming, Little Tern Sterna albifrons, Habitat selection pattern, Elevation, Vegetation, Rule-set model",
• abstract = "This paper aims to find patterns in nest site selection by Little Terns Sterna albifrons, in the Nakdong estuary in South Korea. This estuary is important waterfowl stopover and breeding habitat, located in the middle of the East Asia-Australasian Flyway. The Little Tern is a common species easily observed near the seashore but their number is gradually declining around the world. We investigated their nests and eggs on a barrier islet in the Nakdong estuary during the breeding season (May to June, 2007), and a pattern for the nest site selection was identified using genetic programming (GP). The GP generated a predictive rule-set model for the number of Little Tern nests (training: R2 = 0.48 and test: 0.46). The physical features of average elevation, variation of elevation, plant coverage, and average plant height were estimated to determine the influence on nest numbers for Little Tern. A series of sensitivity analyses stressed that mean elevation and vegetation played an important role in nest distribution for Little Tern. The influence of these two variables could be maximised when elevation changed moderately within the sampled quadrats. The study results are regarded as a good example of applying GP to vertebrate distribution patterning and prediction with several important advantages compared to conventional modelling techniques, and can help establish a management or restoration strategy for the species.",

}

Genetic Programming entries for Kwang-Seuk Jeong Ji-Deok Jang Dong-Kyun Kim Gea-Jae Joo

Citations