
Critical transitions in rainfall manipulation experiments on grasslands
Author(s) -
Matos Ilaíne S.,
Flores Bernardo M.,
Hirota Marina,
Rosado Bruno H. P.
Publication year - 2020
Publication title -
ecology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.17
H-Index - 63
ISSN - 2045-7758
DOI - 10.1002/ece3.6072
Subject(s) - productivity , psychological resilience , environmental science , alternative stable state , climate change , resilience (materials science) , hysteresis , ecosystem , environmental resource management , vegetation (pathology) , natural resource economics , ecology , economics , physics , biology , medicine , psychology , pathology , quantum mechanics , psychotherapist , macroeconomics , thermodynamics
As a result of climate and land‐use changes, grasslands have been subjected to intensifying drought regimes. Extreme droughts could interfere in the positive feedbacks between grasses and soil water content, pushing grasslands across critical thresholds of productivity and leading them to collapse. If this happens, systems may show hysteresis and costly management interventions might be necessary to restore predrought productivity. Thus, neglecting critical transitions may lead to mismanagement of grasslands and to irreversible loss of ecosystem services. Rainfall manipulation experiments constitute a powerful approach to investigate the risk of such critical transitions. However, experiments performed to date have rarely applied extreme droughts and have used resilience indices that disregard the existence of hysteresis. Here, we suggest how to incorporate critical transitions when designing rainfall manipulation experiments on grasslands and when measuring their resilience to drought. The ideas presented here have the potential to trigger a perspective shift among experimental researchers, into a new state where the existence of critical transitions will be discussed, experimentally tested, and largely considered when assessing and managing vegetation resilience to global changes.