Predicting species and community responses to global change using structured expert judgement : an Australian mountain ecosystems case study

James S. Camac, Kate D. L. Umbers, John W. Morgan, Sonya R. Geange, Anca Hanea, Rachel A. Slatyer, Keith L. McDougall, Susanna E. Venn, Peter A. Vesk, Ary A. Hoffmann, Adrienne B. Nicotra

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Conservation managers are under increasing pressure to make decisions about the allocation of finite resources to protect biodiversity under a changing climate. However, the impacts of climate and global change drivers on species are outpacing our capacity to collect the empirical data necessary to inform these decisions. This is particularly the case in the Australian Alps which has already undergone recent changes in climate and experienced more frequent large-scale bushfires. In lieu of empirical data, we used a structured expert elicitation method (the IDEA protocol) to estimate the abundance and distribution of nine vegetation groups and 89 Australian alpine and subalpine species by the year 2050. Experts predicted that most alpine vegetation communities would decline in extent by 2050; only woodlands and heathlands are predicted to increase in extent. Predicted species-level responses for alpine plants and animals were highly variable and uncertain. In general, alpine plants spanned the range of possible responses, with some expected to increase, decrease or not change in cover. By contrast, almost all animal species are predicted to decline or not change in abundance or elevation range; more species with water-centric life-cycles are expected to decline in abundance than other species. While long-term ecological data will always be the gold-standard in informing the future of biodiversity, the method and outcomes outlined here provide a pragmatic and coherent basis upon which to start informing conservation policy and management in the face of rapid change and paucity of data.
Original languageEnglish
Pages (from-to)4420-4434
Number of pages15
JournalGlobal Change Biology
Volume27
Issue number18
DOIs
Publication statusPublished - 2021

Open Access - Access Right Statement

This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

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