Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105382
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Type: Journal article
Title: Bioclimatic transect networks: powerful observatories of ecological change
Author: Caddy-Retalic, S.
Andersen, A.
Aspinwall, M.
Breed, M.
Byrne, M.
Christmas, M.
Dong, N.
Evans, B.
Fordham, D.
Guerin, G.
Hoffmann, A.
Hughes, A.
van Leeuwen, S.
McInerney, F.
Prober, S.
Rossetto, M.
Rymer, P.
Steane, D.
Wardle, G.
Lowe, A.
Citation: Ecology and Evolution, 2017; 7(13):4607-4619
Publisher: Wiley
Issue Date: 2017
ISSN: 2045-7758
2045-7758
Statement of
Responsibility: 
Stefan Caddy-Retalic, Alan N. Andersen, Michael J. Aspinwall, Martin F. Breed, Margaret Byrne, Matthew J. Christmas, Ning Dong, Bradley J. Evans, Damien A. Fordham, Greg R. Guerin, Ary A. Hoffmann, Alice C. Hughes, Stephen J. van Leeuwen, Francesca A. McInerney, Suzanne M. Prober, Maurizio Rossetto, Paul D. Rymer, Dorothy A. Steane, Glenda M. Wardle, Andrew J. Lowe
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.
Keywords: Change detection; community turnover; ecological forecasting; environmental gradients; spatial analogues; transect replication
Description: First published: 19 May 2017
Rights: © 2017 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
RMID: 0030070288
DOI: 10.1002/ece3.2995
Appears in Collections:Earth and Environmental Sciences publications

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