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Bioclimatic transect networks: powerful observatories of ecological change

Citation

Caddy-Retalic, S and Andersen, AN and Aspinwall, MJ and Breed, MF and Byrne, M and Christmas, MJ and Dong, N and Evans, BJ and Fordham, DA and Guerin, GR and Hoffmann, AA and Hughes, AC and van Leeuwen, SJ and McInerney, FA and Prober, SM and Rossetto, M and Rymer, PD and Steane, DA and Wardle, GM and Lowe, AJ, Bioclimatic transect networks: powerful observatories of ecological change, Ecology and Evolution, 7, (13) pp. 4607-4619. ISSN 2045-7758 (2017) [Refereed Article]


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Copyright Statement

Copyright 2017 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.1002/ece3.2995

Abstract

Transects that traverse substantial climate gradients are important tools for climate change research and allow questions on the extent to which phenotypic variation associates with climate, the link between climate and species distributions, and variation in sensitivity to climate change among biomes to be addressed. However, the potential limitations of individual transect studies have recently been highlighted. Here, we argue that replicating and networking transects, along with the introduction of experimental treatments, addresses these concerns. Transect networks provide cost-effective and robust insights into ecological and evolutionary adaptation and improve forecasting of ecosystem change. We draw on the experience and research facilitated by the Australian Transect Network to demonstrate our case, with examples, to clarify how population- and community-level studies can be integrated with observations from multiple transects, manipulative experiments, genomics, and ecological modeling to gain novel insights into how species and systems respond to climate change. This integration can provide a spatiotemporal understanding of past and future climate-induced changes, which will inform effective management actions for promoting biodiversity resilience.

Item Details

Item Type:Refereed Article
Keywords:change detection, community turnover, ecological forecasting, environmental gradients, spatial analogues, transect replication
Research Division:Biological Sciences
Research Group:Ecology
Research Field:Ecology not elsewhere classified
Objective Division:Plant Production and Plant Primary Products
Objective Group:Forestry
Objective Field:Native Forests
Author:McInerney, FA (Professor Fran McInerney)
Author:Steane, DA (Dr Dorothy Steane)
ID Code:117712
Year Published:2017
Deposited By:Plant Science
Deposited On:2017-06-26
Last Modified:2018-04-30
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