Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

On the need to use proper metrics to detect experimental drought treatments.

Created on 02 May 2025

Authors

Bruno H P Rosado, Ilaine Silveira Matos

Published in

Oecologia. Volume 207. Issue 5. Pages 76. May 02, 2025. Epub May 02, 2025.

Abstract

Rainfall manipulation experiments are a powerful tool to investigate how drought in isolation or combined with other stresses and disturbance drivers (e.g., fire, herbivory, heatwaves) affects diverse ecological processes. Using passive rainout shelters (intercepting a fixed amount of precipitation) coupled with control plots (receiving ambient precipitation), hundreds of studies have greatly advanced our understanding of drought impacts on plant and soil communities. Despite the existence of guidelines of how to properly design and implement experimental droughts, methodological issues still hinder a correct interpretation of some rainfall manipulation studies. Because of the use of improper metrics to detect drought intensity, it is sometimes unclear whether drought plots really experienced dry conditions and whether control plots experienced near-average mean annual precipitation throughout the experimental period. Here, we reanalyzed three recently published rainfall manipulation studies to illustrate how multi-scalar drought indices (such as SPEI) can be used to better quantify the intensity of the experimental drought imposed and to place it in the historical climate context of each studied area. We also provide additional guidelines to improve the experimental design of future rainfall manipulation studies.

PMID:
40314860
Bibliographic data and abstract were imported from PubMed on 02 May 2025.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 13
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement