For plants facing climate change, staying alive beats reproducing

Oxford researchers have found that plant resilience depends more on year-to-year survival than on growth or reproduction, with fluctuations in water availability emerging as the strongest environmental driver.

A University of Oxford study has answered a deceptively simple question: what makes some plant populations more resilient than others to year-to-year environmental change? The answer surprised the researchers. Survival, simply staying alive from one year to the next, matters far more than reproduction or growth. And the environmental factor driving these survival swings is not temperature, but aridity: how much water availability varies over time.

In order to understand plant resilience to environmental change, researchers from Oxford Biology, analysed data on growth, reproduction and survival from 121 populations across 78 plant species, drawn from studies conducted between 1938 and 2011. The data comes from the open-access COMPADRE Plant Matrix Database, curated by Professor Roberto Salguero-Gómez in Oxford's Department of Biology. By bringing together data from plant populations around the world, COMPADRE enables researchers to identify broad ecological patterns that would be impossible to detect from individual case studies alone.

The large-scale analysis enabled the researchers to compare how variation in survival, reproduction and growth translated into impacts on population size.

Interestingly, the life-history characteristics of the studied plant species, such as whether they are fast-growing and short-lived or slow-growing and long-lived, were only weak predictors of resilience. The same was true of reproductive strategy, including whether species reproduce once in a lifetime or many times over several years. This was unexpected because such traits are widely used to forecast how plant populations will respond to climate change. Instead, the study found that what matters most is whether individuals survive from one year to the next, and those survival swings are remarkably difficult to predict.

The analysis also enabled the researchers to examine the environmental variability experienced by each population, focusing on temperature and rainfall. They found that the strongest driver of survival fluctuations was not temperature but aridity—the degree to which water availability changes over time.

Professor Rob Salguero-Gómez, senior author of this work stated:

“For decades, ecologists have tried to predict how populations respond to environmental change based on the characteristics shaped by their evolutionary history. Our findings show that resilience is not determined by species traits alone. Instead, it emerges from the constant balancing act between survival, growth and reproduction in an ever-changing environment.

Gabriel Santos, the lead author of this work stated:

“One of the most surprising findings was that the traits ecologists often rely on to predict resilience turned out to be relatively poor predictors. Instead, what mattered most was how survival fluctuated through time and how populations experienced environmental variability.

This gives us a powerful new way to identify which populations are most vulnerable to climate instability and where conservation efforts should be focused.”

The findings offer a novel approach to predict which plant populations are most vulnerable to climate volatility – and where conservation efforts should focus.

The framework developed in this study is already being applied across a wide range of ecological and social systems, from plant and animal populations to human societies. By improving our ability to predict resilience to environmental uncertainty, it is helping guide conservation strategies for threatened species, inform management decisions, and underpin new research aimed at forecasting how populations will respond to multiple future disturbances, including climate change.


To read more about this research, published in Nature Communications, visit: https://www.nature.com/articles/s41467-026-73720-x