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

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@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