Detecting environmental impacts on metapopulations of mound spring invertebrates: Assessing an incidence function model

Andrew J. Tyre, Hugh P. Possingham, Darren P. Niejalke

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We use a stochastic patch occupancy model of invertebrates in the Mound Springs ecosystem of South Australia to assess the ability of incidence function models to detect environmental impacts on metapopulations. We assume that the probability of colonisation decreases with increasing isolation and the probability of extinction is constant across spring vents. We run the models to quasi-equilibrium, and then impose an impact by increasing the local extinction probability. We sample the output at various times pre- and postimpact, and examine the probability of detecting a significant change in population parameters. The incidence function model approach turns out to have little power to detect environmental impacts on metapopulations with small numbers of patches.

Original languageEnglish (US)
Pages (from-to)225-229
Number of pages5
JournalEnvironment International
Volume27
Issue number2-3
DOIs
StatePublished - Jan 1 2001

Fingerprint

metapopulation
Environmental impact
environmental impact
invertebrate
local extinction
Vents
Ecosystems
colonization
extinction
Invertebrates
ecosystem

Keywords

  • Environmental impact
  • Great Artesian Basin
  • Incidence function model
  • Maximum likehood
  • Metapopulation
  • Quasi-equilibrium

ASJC Scopus subject areas

  • Environmental Science(all)

Cite this

Detecting environmental impacts on metapopulations of mound spring invertebrates : Assessing an incidence function model. / Tyre, Andrew J.; Possingham, Hugh P.; Niejalke, Darren P.

In: Environment International, Vol. 27, No. 2-3, 01.01.2001, p. 225-229.

Research output: Contribution to journalArticle

@article{9ca2593a16564605a7fb6341baf7e453,
title = "Detecting environmental impacts on metapopulations of mound spring invertebrates: Assessing an incidence function model",
abstract = "We use a stochastic patch occupancy model of invertebrates in the Mound Springs ecosystem of South Australia to assess the ability of incidence function models to detect environmental impacts on metapopulations. We assume that the probability of colonisation decreases with increasing isolation and the probability of extinction is constant across spring vents. We run the models to quasi-equilibrium, and then impose an impact by increasing the local extinction probability. We sample the output at various times pre- and postimpact, and examine the probability of detecting a significant change in population parameters. The incidence function model approach turns out to have little power to detect environmental impacts on metapopulations with small numbers of patches.",
keywords = "Environmental impact, Great Artesian Basin, Incidence function model, Maximum likehood, Metapopulation, Quasi-equilibrium",
author = "Tyre, {Andrew J.} and Possingham, {Hugh P.} and Niejalke, {Darren P.}",
year = "2001",
month = "1",
day = "1",
doi = "10.1016/S0160-4120(01)00091-5",
language = "English (US)",
volume = "27",
pages = "225--229",
journal = "Environmental International",
issn = "0160-4120",
publisher = "Elsevier Limited",
number = "2-3",

}

TY - JOUR

T1 - Detecting environmental impacts on metapopulations of mound spring invertebrates

T2 - Assessing an incidence function model

AU - Tyre, Andrew J.

AU - Possingham, Hugh P.

AU - Niejalke, Darren P.

PY - 2001/1/1

Y1 - 2001/1/1

N2 - We use a stochastic patch occupancy model of invertebrates in the Mound Springs ecosystem of South Australia to assess the ability of incidence function models to detect environmental impacts on metapopulations. We assume that the probability of colonisation decreases with increasing isolation and the probability of extinction is constant across spring vents. We run the models to quasi-equilibrium, and then impose an impact by increasing the local extinction probability. We sample the output at various times pre- and postimpact, and examine the probability of detecting a significant change in population parameters. The incidence function model approach turns out to have little power to detect environmental impacts on metapopulations with small numbers of patches.

AB - We use a stochastic patch occupancy model of invertebrates in the Mound Springs ecosystem of South Australia to assess the ability of incidence function models to detect environmental impacts on metapopulations. We assume that the probability of colonisation decreases with increasing isolation and the probability of extinction is constant across spring vents. We run the models to quasi-equilibrium, and then impose an impact by increasing the local extinction probability. We sample the output at various times pre- and postimpact, and examine the probability of detecting a significant change in population parameters. The incidence function model approach turns out to have little power to detect environmental impacts on metapopulations with small numbers of patches.

KW - Environmental impact

KW - Great Artesian Basin

KW - Incidence function model

KW - Maximum likehood

KW - Metapopulation

KW - Quasi-equilibrium

UR - http://www.scopus.com/inward/record.url?scp=0034766253&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0034766253&partnerID=8YFLogxK

U2 - 10.1016/S0160-4120(01)00091-5

DO - 10.1016/S0160-4120(01)00091-5

M3 - Article

C2 - 11697674

AN - SCOPUS:0034766253

VL - 27

SP - 225

EP - 229

JO - Environmental International

JF - Environmental International

SN - 0160-4120

IS - 2-3

ER -