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To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate

Citation

Harris, R and Porfirio, LL and Hugh, S and Lee, G and Bindoff, NL and Mackey, B and Beeton, N, To Be Or Not to Be? Variable selection can change the projected fate of a threatened species under future climate, Ecological Management and Restoration, 14, (3) pp. 230-234. ISSN 1442-7001 (2013) [Refereed Article]

Copyright Statement

Copyright 2013 Ecological Society of Australia

DOI: doi:10.1111/emr.12055

Abstract

Species distribution models (SDMs) are commonly used to project future changes in the geographic ranges of species, to estimate extinction rates and to plan biodiversity conservation. However, these models can produce a range of results depending on how they are parameterized, and over-reliance on a single model may lead to overconfidence in maps of future distributions. The choice of predictor variable can have a greater influence on projected future habitat than the range of climate models used. We demonstrate this in the case of the Ptunarra Brown Butterfly, a species listed as vulnerable in Tasmania, Australia. We use the Maxent model to develop future projections for this species based on three variable sets; all 35 commonly used so-called ‘bioclimatic’ variables, a subset of these based on expert knowledge, and a set of monthly climate variables relevant to the species’ primary activity period. We used a dynamically downscaled regional climate model based on three global climate models. Depending on the choice of variable set, the species is projected either to experience very little contraction of habitat or to come close to extinction by the end of the century due to lack of suitable climate. The different conclusions could have important consequences for conservation planning and management, including the perceived viability of habitat restoration. The output of SDMs should therefore be used to define the range of possible trajectories a species may be on, and ongoing monitoring used to inform management as changes occur.

Item Details

Item Type:Refereed Article
Keywords:species distribution modelling, conservation management and planning, climate change, restoration
Research Division:Environmental Sciences
Research Group:Ecological Applications
Research Field:Ecological Impacts of Climate Change
Objective Division:Environment
Objective Group:Climate and Climate Change
Objective Field:Climate Change Adaptation Measures
Author:Harris, R (Dr Rebecca Harris)
Author:Lee, G (Dr Greg Lee)
Author:Bindoff, NL (Professor Nathan Bindoff)
Author:Beeton, N (Dr Nicholas Beeton)
ID Code:86279
Year Published:2013
Deposited By:CRC-Antarctic Climate & Ecosystems
Deposited On:2013-09-03
Last Modified:2014-05-28
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