Literature DB >> 17267072

Lateral thinking on data to identify climate impacts.

Tim H Sparks1.   

Abstract

It has never been more urgent to identify the potential impacts of climate change. In our quest for information, we often rely on records that reveal how organisms and systems responded to past climates. A new study by Miller-Rushing et al. uses some unorthodox archive material (photographs and herbarium specimens) to examine changes in flowering phenology in the USA. Their approach suggests that we have failed to think-outside-the-box and have been overlooking a valuable resource for climate-impact research.

Mesh:

Year:  2007        PMID: 17267072     DOI: 10.1016/j.tree.2007.01.003

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  4 in total

1.  Monitoring plant phenology using digital repeat photography.

Authors:  Michael A Crimmins; Theresa M Crimmins
Journal:  Environ Manage       Date:  2008-06       Impact factor: 3.266

2.  The phenology of Rubus fruticosus in Ireland: herbarium specimens provide evidence for the response of phenophases to temperature, with implications for climate warming.

Authors:  E Diskin; H Proctor; M Jebb; T Sparks; A Donnelly
Journal:  Int J Biometeorol       Date:  2012-03-02       Impact factor: 3.787

Review 3.  Beyond a warming fingerprint: individualistic biogeographic responses to heterogeneous climate change in California.

Authors:  Giovanni Rapacciuolo; Sean P Maher; Adam C Schneider; Talisin T Hammond; Meredith D Jabis; Rachel E Walsh; Kelly J Iknayan; Genevieve K Walden; Meagan F Oldfather; David D Ackerly; Steven R Beissinger
Journal:  Glob Chang Biol       Date:  2014-06-17       Impact factor: 10.863

4.  Using historical woodland creation to construct a long-term, large-scale natural experiment: the WrEN project.

Authors:  Kevin Watts; Elisa Fuentes-Montemayor; Nicholas A Macgregor; Victor Peredo-Alvarez; Mark Ferryman; Chloe Bellamy; Nigel Brown; Kirsty J Park
Journal:  Ecol Evol       Date:  2016-03-30       Impact factor: 2.912

  4 in total

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