Skip to main content
main-content
Top

Hint

Swipe to navigate through the chapters of this book

2017 | OriginalPaper | Chapter

A Variable Length Chromosome Genetic Algorithm Approach to Identify Species Distribution Models Useful for Freshwater Ecosystem Management

share
SHARE

Abstract

Increasing pressure on freshwater ecosystems requires river managers and policy makers to take actions to protect ecosystem health. Species distribution models (SDMs) are identified as appropriate tools to assess the effect of pressures on ecosystems. A number of methods are available to model species distributions, however, it remains a challenge to identify well-performing models from a large set of candidate models. Metaheuristic search algorithms can aid to identify appropriate models by scanning possible combinations of explanatory model variables, model parameters and interaction functions. This large search space can be efficiently scanned with simple genetic algorithms (SGAs). In this paper, we test the potential of a variable length chromosome SGA to perform parameter estimation (PE) and input variable selection (IVS) for a macroinvertebrate SDM. We show that the SGA is an appropriate tool to identify fair to satisfying performing SDMs. In addition, we show that SGA performance and the uncertainty varies as a function of the chosen hyper parameters. The results can aid to further optimise the algorithm so models explaining species distributions can be identified and used for analysis in river management.

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 69.000 Bücher
  • über 500 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Testen Sie jetzt 15 Tage kostenlos.

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 50.000 Bücher
  • über 380 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




Testen Sie jetzt 15 Tage kostenlos.

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 58.000 Bücher
  • über 300 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Testen Sie jetzt 15 Tage kostenlos.

Literature
4.
go back to reference Elbersen, J.W.H., Verdonschot, P.F.M., Roels, B., Hartholt, J.G.: Definitiestudie kaderrichtlijn water (KRW) I. Typologie nederlandse oppervlaktewateren. Alterra, Research Instituut voor de Groene Ruimte, Wageningen (2003) Elbersen, J.W.H., Verdonschot, P.F.M., Roels, B., Hartholt, J.G.: Definitiestudie kaderrichtlijn water (KRW) I. Typologie nederlandse oppervlaktewateren. Alterra, Research Instituut voor de Groene Ruimte, Wageningen (2003)
11.
go back to reference Goldberg, D.E., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. Found. Genet. Algorithms 1, 69–93 (1991). 10.1.1.101.9494 MathSciNet Goldberg, D.E., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. Found. Genet. Algorithms 1, 69–93 (1991). 10.1.1.101.9494 MathSciNet
Metadata
Title
A Variable Length Chromosome Genetic Algorithm Approach to Identify Species Distribution Models Useful for Freshwater Ecosystem Management
Authors
Sacha Gobeyn
Peter L. M. Goethals
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-89935-0_17

Premium Partner