Conducting robust ecological analyses with climate data

Authors: Suggitt, A.J., Gillingham, P. and Pyke, A.

http://eprints.bournemouth.ac.uk/29356/

http://onlinelibrary.wiley.com/doi/10.1111/oik.04203/full

Journal: Oikos

Publisher: Blackwell Publishing Inc.

ISSN: 0030-1299

DOI: 10.1111/oik.04203

Although the number of studies discerning the impact of climate change on ecological systems continues to increase, there has been relatively little sharing of the lessons learnt when accumulating this evidence. At a recent workshop entitled ‘Using climate data in ecological research’ held at the UK Met Office, ecologists and climate scientists came together to discuss the robust analysis of climate data in ecology. The discussions identified three common pitfalls encountered by ecologists: 1) selection of inappropriate spatial resolutions for analysis; 2) improper use of publically available data or code; and 3) insufficient representation of the uncertainties behind the adopted approach. Here, we discuss how these pitfalls can be avoided, before suggesting ways that both ecology and climate science can move forward. Our main recommendation is that ecologists and climate scientists collaborate more closely, on grant proposals and scientific publications, and informally through online media and workshops. More sharing of data and code (e.g. via online repositories), lessons and guidance would help to reconcile differing approaches to the robust handling of data. We call on ecologists to think critically about which aspects of the climate are relevant to their study system, and to acknowledge and actively explore uncertainty in all types of climate data. And we call on climate scientists to make simple estimates of uncertainty available to the wider research community. Through steps such as these, we will improve our ability to robustly attribute observed ecological changes to climate or other factors, while providing the sort of influential, comprehensive analyses that efforts to mitigate and adapt to climate change so urgently require.

This data was imported from Scopus:

Authors: Suggitt, A.J., Gillingham, P.K., Stewart, J.E. et al.

http://eprints.bournemouth.ac.uk/29356/

Journal: Oikos

Volume: 126

Issue: 11

Pages: 1533-1541

eISSN: 1600-0706

ISSN: 0030-1299

DOI: 10.1111/oik.04203

© 2017 The Authors Although the number of studies discerning the impact of climate change on ecological systems continues to increase, there has been relatively little sharing of the lessons learnt when accumulating this evidence. At a recent workshop entitled ‘Using climate data in ecological research’ held at the UK Met Office, ecologists and climate scientists came together to discuss the robust analysis of climate data in ecology. The discussions identified three common pitfalls encountered by ecologists: 1) selection of inappropriate spatial resolutions for analysis; 2) improper use of publically available data or code; and 3) insufficient representation of the uncertainties behind the adopted approach. Here, we discuss how these pitfalls can be avoided, before suggesting ways that both ecology and climate science can move forward. Our main recommendation is that ecologists and climate scientists collaborate more closely, on grant proposals and scientific publications, and informally through online media and workshops. More sharing of data and code (e.g. via online repositories), lessons and guidance would help to reconcile differing approaches to the robust handling of data. We call on ecologists to think critically about which aspects of the climate are relevant to their study system, and to acknowledge and actively explore uncertainty in all types of climate data. And we call on climate scientists to make simple estimates of uncertainty available to the wider research community. Through steps such as these, we will improve our ability to robustly attribute observed ecological changes to climate or other factors, while providing the sort of influential, comprehensive analyses that efforts to mitigate and adapt to climate change so urgently require.

This source preferred by Phillipa Gillingham and John Stewart

This data was imported from Web of Science (Lite):

Authors: Suggitt, A.J., Gillingham, P.K., Stewart, J.E. et al.

http://eprints.bournemouth.ac.uk/29356/

Journal: OIKOS

Volume: 126

Issue: 11

Pages: 1533-1541

eISSN: 1600-0706

ISSN: 0030-1299

DOI: 10.1111/oik.04203

The data on this page was last updated at 04:45 on December 14, 2017.