Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models

Erin Conlisk, Alexandra D. Syphard, Janet Franklin, Lorraine Flint, Alan Flint, Helen Regan

Research output: Contribution to journalArticle

43 Citations (Scopus)

Abstract

Concern over rapid global changes and the potential for interactions among multiple threats are prompting scientists to combine multiple modelling approaches to understand impacts on biodiversity. A relatively recent development is the combination of species distribution models, land-use change predictions, and dynamic population models to predict the relative and combined impacts of climate change, land-use change, and altered disturbance regimes on species' extinction risk. Each modelling component introduces its own source of uncertainty through different parameters and assumptions, which, when combined, can result in compounded uncertainty that can have major implications for management. Although some uncertainty analyses have been conducted separately on various model components - such as climate predictions, species distribution models, land-use change predictions, and population models - a unified sensitivity analysis comparing various sources of uncertainty in combined modelling approaches is needed to identify the most influential and problematic assumptions. We estimated the sensitivities of long-run population predictions to different ecological assumptions and parameter settings for a rare and endangered annual plant species (Acanthomintha ilicifolia, or San Diego thornmint). Uncertainty about habitat suitability predictions, due to the choice of species distribution model, contributed most to variation in predictions about long-run populations.

Original languageEnglish (US)
Pages (from-to)858-869
Number of pages12
JournalGlobal Change Biology
Volume19
Issue number3
DOIs
StatePublished - Mar 2013

Fingerprint

global change
Land use
land use change
prediction
modeling
Population dynamics
annual plant
extinction risk
climate prediction
Biodiversity
Climate change
Sensitivity analysis
sensitivity analysis
distribution
Uncertainty
population dynamics
biodiversity
disturbance
climate change
habitat

Keywords

  • Annual plant
  • Climate change
  • Conservation management
  • Coupled model
  • Habitat suitability
  • Invasive plants
  • Land-use change
  • Uncertainty

ASJC Scopus subject areas

  • Ecology
  • Global and Planetary Change
  • Environmental Science(all)
  • Environmental Chemistry

Cite this

Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models. / Conlisk, Erin; Syphard, Alexandra D.; Franklin, Janet; Flint, Lorraine; Flint, Alan; Regan, Helen.

In: Global Change Biology, Vol. 19, No. 3, 03.2013, p. 858-869.

Research output: Contribution to journalArticle

Conlisk, Erin ; Syphard, Alexandra D. ; Franklin, Janet ; Flint, Lorraine ; Flint, Alan ; Regan, Helen. / Uncertainty in assessing the impacts of global change with coupled dynamic species distribution and population models. In: Global Change Biology. 2013 ; Vol. 19, No. 3. pp. 858-869.
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