University of Tasmania
Browse
A climate of uncertainty.pdf (1.11 MB)

A climate of uncertainty: Accounting for error in climate variables for species distribution models

Download (1.11 MB)
journal contribution
posted on 2023-05-19, 08:02 authored by Stoklosa, J, Daly, C, Scott FosterScott Foster, Ashcroft, MB, Warton, DI
Spatial climate variables are routinely used in species distribution models (SDMs) without accounting for the fact that they have been predicted with uncertainty, which can lead to biased estimates, erroneous inference and poor performances when predicting to new settings - for example under climate change scenarios. We show how information on uncertainty associated with spatial climate variables can be obtained from climate data models. We then explain different types of uncertainty (i.e. classical and Berkson error) and use two statistical methods that incorporate uncertainty in climate variables into SDMs by means of (i) hierarchical modelling and (ii) simulation-extrapolation. We used simulation to study the consequences of failure to account for measurement error. When uncertainty in explanatory variables was not accounted for, we found that coefficient estimates were biased and the SDM had a loss of statistical power. Further, this bias led to biased predictions when projecting change in distribution under climate change scenarios. The proposed errors-in-variables methods were less sensitive to these issues. We also fit the proposed models to real data (presence/absence data on the Carolina wren, Thryothorus ludovicianus), as a function of temperature variables. The proposed framework allows for many possible extensions and improvements to SDMs. If information on the uncertainty of spatial climate variables is available to researchers, we recommend the following: (i) first identify the type of uncertainty; (ii) consider whether any spatial autocorrelation or independence assumptions are required; and (iii) attempt to incorporate the uncertainty into the SDM through established statistical methods and their extensions.

History

Publication title

Methods in Ecology and Evolution

Volume

6

Issue

4

Pagination

412-423

ISSN

2041-210X

Department/School

Institute for Marine and Antarctic Studies

Publisher

British Ecological Society

Place of publication

United Kingdom

Rights statement

© 2014 The Authors. Licensed under Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License (CC BY-NC-ND 3.0) https://creativecommons.org/licenses/by-nc-nd/3.0/

Repository Status

  • Open

Socio-economic Objectives

Climate change models

Usage metrics

    University Of Tasmania

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC