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Caddy-Retalic S, Andersen AN, Aspinwall MJ, et al. Bioclimatic transect networks: Powerful observatories of ecological change. Ecol Evol. 2017;7(13):4607-4619doi: 10.1002/ece3.2995.
Caddy-Retalic, S., Andersen, A. N., Aspinwall, M. J., Breed, M. F., Byrne, M., Christmas, M. J., Dong, N., Evans, B. J., Fordham, D. A., Guerin, G. R., Hoffmann, A. A., Hughes, A. C., van Leeuwen, S. J., McInerney, F. A., Prober, S. M., Rossetto, M., Rymer, P. D., Steane, D. A., Wardle, G. M., & Lowe, A. J. (2017). Bioclimatic transect networks: Powerful observatories of ecological change. Ecology and evolution, 7(13), 4607-4619. https://doi.org/10.1002/ece3.2995
Caddy-Retalic, Stefan, et al. "Bioclimatic transect networks: Powerful observatories of ecological change." Ecology and evolution vol. 7,13 (2017): 4607-4619. doi: https://doi.org/10.1002/ece3.2995
Caddy-Retalic S, Andersen AN, Aspinwall MJ, Breed MF, Byrne M, Christmas MJ, Dong N, Evans BJ, Fordham DA, Guerin GR, Hoffmann AA, Hughes AC, van Leeuwen SJ, McInerney FA, Prober SM, Rossetto M, Rymer PD, Steane DA, Wardle GM, Lowe AJ. Bioclimatic transect networks: Powerful observatories of ecological change. Ecol Evol. 2017 May 19;7(13):4607-4619. doi: 10.1002/ece3.2995. eCollection 2017 Jul. PMID: 28690791; PMCID: PMC5496522.
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Ecol Evol. 2017 May 19;7(13):4607-4619. doi: 10.1002/ece3.2995. eCollection 2017 Jul.

Bioclimatic transect networks: Powerful observatories of ecological change.

Ecology and evolution

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

Affiliations

  1. Australian Transect Network Terrestrial Ecosystem Research Network (TERN) Adelaide SA Australia.
  2. School of Biological Sciences and Environment InstituteUniversity of Adelaide Adelaide SA Australia.
  3. Charles Darwin University Darwin NT Australia.
  4. Hawkesbury Institute for the Environment Western Sydney University Parramatta NSW Australia.
  5. Science and Conservation Division Western Australian Department of Parks and Wildlife Kensington WA Australia.
  6. Department of Biological Sciences Macquarie University North Ryde NSW Australia.
  7. Ecosystem Modelling and Scaling Infrastructure Terrestrial Ecosystem Research Network (TERN) Adelaide SA Australia.
  8. School Life and Environmental Sciences University of Sydney Sydney NSW Australia.
  9. School of BioSciences, Bio 21 InstituteThe University of Melbourne Parkville VIC Australia.
  10. Centre for Integrative Conservation Xishuangbanna Tropical Botanic Garden Chinese Academy of Sciences Menglun, Mengla County Yunnan China.
  11. Sprigg Geobiology Centre and School of Physical Sciences University of Adelaide Adelaide SA Australia.
  12. CSIRO Land and Water Wembley WA Australia.
  13. National Herbarium of NSW Royal Botanic Gardens and Domain Trust Sydney NSW Australia.
  14. School of Biological Sciences University of Tasmania Private Bag 55 Hobart Tasmania 7001 Australia.
  15. Faculty of Science, Health, Education and Engineering University of the Sunshine Coast Maroochydore QLD Australia.
  16. Long Term Ecological Research Network Terrestrial Ecosystem Research Network (TERN) Adelaide SA Australia.

PMID: 28690791 PMCID: PMC5496522 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.

Keywords: change detection; community turnover; ecological forecasting; environmental gradients; spatial analogues; transect replication

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