A Novel, Unbiased Analysis Approach for Investigating Population Dynamics: A Case Study on Calanus finmarchicus and Its Decline in the North Sea

Created by W.Langdon from gp-bibliography.bib Revision:1.4448

@Article{10.1371/journal.pone.0158230,
  author =       "Danny J. Papworth and Simone Marini and 
                 Alessandra Conversi",
  title =        "A Novel, Unbiased Analysis Approach for Investigating
                 Population Dynamics: A Case Study on Calanus
                 finmarchicus and Its Decline in the North Sea",
  journal =      "PLOS ONE",
  year =         "2016",
  volume =       "11",
  number =       "7",
  pages =        "1--26",
  month =        "1 " # jul,
  keywords =     "genetic algorithms, genetic programming, crustacean",
  ISSN =         "1932-6203",
  publisher =    "Public Library of Science",
  URL =          "https://doi.org/10.1371/journal.pone.0158230",
  URL =          "http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0158230&type=printable",
  DOI =          "doi:10.1371/journal.pone.0158230",
  size =         "26 pages",
  abstract =     "Marine populations are controlled by a series of
                 drivers, pertaining to both the physical environment
                 and the biological environment (trophic predator-prey
                 interactions). There is heated debate over drivers,
                 especially when trying to understand the causes of
                 major ecosystem events termed regime shifts. In this
                 work, we have researched and developed a novel
                 methodology based on Genetic Programming (GP) for
                 distinguishing which drivers can influence species
                 abundance. This methodology benefits of having no a
                 priori assumptions either on the ecological parameters
                 used or on the underlying mathematical relationships
                 among them. We have validated this methodology applying
                 it to the North Sea pelagic ecosystem. We use the
                 target species Calanus finmarchicus, a key copepod in
                 temperate and subarctic ecosystems, along with 86
                 biological, hydrographical and climatic time series,
                 ranging from local water nutrients and fish predation,
                 to large scale climate pressure patterns. The chosen
                 study area is the central North Sea, from 1972 to 2011,
                 during which period there was an ecological regime
                 shift. The GP based analysis identified 3 likely
                 drivers of C. finmarchicus abundance, which highlights
                 the importance of considering both physical and trophic
                 drivers: temperature, North Sea circulation (net flow
                 into the North Atlantic), and predation (herring). No
                 large scale climate patterns were selected, suggesting
                 that when there is availability of both data types,
                 local drivers are more important. The results produced
                 by the GP based procedure are consistent with the
                 literature published to date, and validate the use of
                 GP for interpreting species dynamics. We propose that
                 this methodology holds promises for the highly
                 non-linear field of ecology.",
  notes =        "Questions and Answers on the GP-based procedure Posted
                 by AleConversi on 31 Aug 2016 at 06:00 GMT
                 http://journals.plos.org/plosone/article/comment?id=10.1371/annotation/7d9d2fda-1917-4f3c-9277-fd101c527349",
}

Genetic Programming entries for Danny J Papworth Simone Marini Alessandra Conversi

Citations