The most damaging weather events are the record-breaking “one-in-100-year” disasters communities have usually only seen once.
But understanding how these rare events could change in the future is hard. With few examples in historical records, it is difficult to estimate how severe they could become and how outcomes might vary across possible futures.
Recent research shows the weather systems bringing heavy rain to New Zealand each year are expected to become more intense as the climate warms.
In our new study, we used generative artificial intelligence (genAI) to simulate hundreds of ways this century might unfold and to explore how extreme rainfall might change across these possible futures.
We know that a warmer atmosphere can hold more water vapour, allowing storms to produce heavier rainfall. But much of our understanding comes from global models whose grids are so coarse that entire region, such as Auckland, can fall within a single grid cell.
By using genAI to explore these changes at finer scales across New Zealand, we found the rarest downpours become more intense as the planet warms, with larger increases than for the heavy rainfall we experience more often.
In a future where greenhouse gas emissions keep rising, the amount of rain falling per day in a one-in-100-year event increased by about 9% per degree of warming, averaged across New Zealand and the possible futures we simulated. For the heavy rainfall we experience more often, the increase was about 5.6% per degree.
The heavier the daily downpour, the greater the potential for flooding and damage.
A one-in-100-year event means there is a 1% chance of rainfall exceeding record amounts in any year. But these events do not happen neatly once a century. They can happen close together, and their odds change as the climate warms.
The average increases we describe tell only part of the story. Our study found warming also widened the gap between milder and more severe possible futures. In the more severe futures, extreme rainfall increased substantially more than the averages above.
Understanding the range of possible outcomes, including the best and worst cases in our simulations, gives us a clearer picture of the rare, damaging rainfall events we need to prepare for.
Projected changes in one-in-100-year daily rainfall across New Zealand under a high-emissions scenario. Faint lines show individual simulated futures, the dark line shows their average and shading marks their full range.Author provided, CC BY-SA
How AI makes this possible
Conventional climate models use the laws of physics to simulate the climate. Detailed regional models require powerful computers, limiting how many versions of the future researchers can explore.
Our team trained the AI on 140 years of regional climate simulations covering historical and warmer future conditions. It learned how global weather patterns translate into local rainfall and temperature.
After about a day of training, the AI generated more than 15,000 simulated years in six hours using four specialised computer chips. Conventional regional models would have taken years.
This does not mean looking 15,000 years into the future. The total includes many reruns of history and of possible futures to 2100, drawn from 20 global climate models.
Each represents New Zealand in grid cells about 12 kilometres wide, allowing us to examine regional differences. Our earlier review found that similar approaches can also work in other parts of the world, and could help regions better understand their own climate risks.
A rugby analogue
To understand how these potential climate futures might play out, it can be helpful to imagine the All Blacks playing Australia at Eden Park.
As we saw earlier this month, the All Blacks are the stronger team and we expected them to win, especially at Eden Park.
But every match unfolds differently, and if we were to replay that same match again, a missed penalty, injury or last-minute red card could change the final score.
If we could replay the same match hundreds of times, the All Blacks would win most of the time but some matches would end in unexpected losses. Six replayed matches would give only a rough picture of rare outcomes such as a loss to the Wallabies.
Hundreds would give us a better chance of understanding these more surprising possibilities, and how they depend on the venue or other factors.
Climate works similarly. Rising greenhouse gases push up temperature and influence extreme rainfall. But natural variability, including everyday weather and longer-term fluctuations such as the El Niño Southern Oscillation, affects when and where extremes occur and how severe they become.
Even with the same emissions, small differences in starting conditions lead to different outcomes. Earlier research shows how simulating many futures (by slightly varying these conditions) allows researchers to examine both the overall direction of change and less likely outcomes.
A clearer picture
Our study shows that this variability grows with warming, widening the range of possible rainfall extremes faster than their average intensity increases.
Returning to rugby, the equivalent would be if the All Blacks started winning by more points on average, but their results also became much more varied, with unexpected losses and bigger blowout wins.
As more groups now use AI in this way to project future climate conditions, work is underway to coordinate methods globally to develop shared standards.
AI can produce poor outputs under unfamiliar conditions. This problem plagued some earlier studies, but training on both historical and warmer climates helped to address this, alongside a training strategy our previous work showed would produce realistic extreme events.
More simulations cannot tell us exactly where or when the next record-breaking downpour will happen. But they give us a clearer picture of what to prepare for, including extremes beyond anything communities have experienced in living memory.
Neelesh Rampal has received funding from New Zealand MBIE Endeavour Smart Ideas Fund (NIW2504).
Steven Sherwood receives funding from the Australian Research Council and the Minderoo Foundation.
Millions of large feral animals roam Australia. Pigs, camels, deer, horses, water buffalo, cattle and goats were introduced deliberately as transport, livestock or to hunt. Many have since established wild populations.
Governments spend millions every year trying to keep feral animal numbers down because these animals can have strong effects on ecosystems by eating plants and trampling. In recent decades, populations of these largely herbivorous feral species have grown.
Every Australian knows common myna birds are bad, rabbits are worse and feral cats kill native animals unchecked.
But how do we decide what makes an introduced species “good” or “bad” – and will we ever concede that some species are here to stay?
Our new series on invasive species explores these questions.
Dozens of native species have gone extinct since colonisation and many others are in decline. In response, conservationists have rightly focused on reducing threats to surviving species to stave off further extinctions. Feral animals are thought to contribute to the problem, alongside fragmented habitats, climate change and the end of most First Nations’ fire regimes.
But there’s a paradox here. Some feral animals are abundant in Australia – but threatened, endangered or extinct in the wild in their original regions. For these species, Australia is acting as a last refuge.
How can a feral animal be threatened?
Wild herds of dromedaries (one-humped camels) haven’t roamed the deserts of North Africa and the Middle East for about 2,000 years. The species is now considered extinct in the wild. It survived as a domesticated animal – until Australia imported camels as pack animals for the dry interior.
In the early 20th century, many were left to fend for themselves. Large wild herds of dromedaries once again roam, but this time in Australia’s arid rangelands and deserts.
Other large endangered herbivores roaming Australia include banteng, water buffalo, horses, donkeys, and three species of deer. Many of these have domesticated populations in other countries, but are threatened with extinction in the wild.
Banteng are especially noteworthy. Endemic to Southeast Asia, these wild bovines were brought to Australia’s tropical north to provide meat and milk for an attempted British settlement on the Couburg Peninsula near Darwin. When the settlers withdrew, the banteng were left behind. They thrived.
In modern time, banteng have become critically endangered in their home range due to hunting, habitat loss and disease. One of their most important strongholds is now the Northern Territory.
Of the six deer species introduced to Australia, three are at risk globally. In the 1860s, hog deer were introduced in Victoria as a game species. They, too, are now endangered in their original range in South and Southeast Asia.
Javan rusa deer and sambar deer are considered vulnerable and declining in their native ranges, but both have well-established populations in Australia.
Banteng are a species of wild cattle native to Southeast Asian rainforests.Rudolf Ernst/Getty
A dilemma for conservation
For decades, Australian authorities have treated feral animals as pests to be controlled or eradicated.
These actions are driven by care for Australia’s native species. Free-roaming deer, cattle and camels can compete with native species and livestock for food, as do all large wild herbivores.
In response, large numbers of dromedaries, deer and banteng are shot or poisoned every year.
But is this the right approach, given that Australian populations of these animals may represent an unexpected insurance policy against extinction?
Globally, around 20% of introduced mammal species are threatened in their native range, while roughly 50% of all introduced megafauna (animals weighing over 45 kilograms) are either threatened or extinct where they originally evolved.
Hog deer are now rare across the Indian subcontinent and other areas – but their numbers are rising in Australia.Martin Auldist/Getty
Should introduced species be conserved?
Debate over introduced species is often polarised. Many conservationists argue they should be controlled because they threaten native wildlife, agriculture and ecosystems.
Others argue conservation should value all species in a world of global reshuffling, particularly when introduced populations may help prevent extinction.
Both arguments have merit. The challenge is to avoid reducing the issue to a simple choice: kill or protect.
European rabbits are endangered in their native range in Western Europe. But Australia’s rabbits can have strong effects on soil and chow through plants, particularly in land cleared for farming. Blanket protection of Australia’s rabbits would have little support. By contrast, there’s a case to be made to protect banteng.
Too often, there’s little space for these difficult questions to be raised and worked through in conservation.
The limits of control
Eradication is no longer the goal for most introduced species. Few see the eradication of all feral rabbits, cats, foxes, camels, deer, goats, horses and pigs from the continent as a possibility.
Management has often shifted, quietly, towards containment, damage reduction or local control. We should be more explicit about this reality.
Eradication makes most sense on islands, inside fenced reserves, or when an introduced population is small, new and causing abrupt changes. Once a species is widespread, long established, hard to remove or globally important, we should give up on eradication.
Instead, we could ask whether introduced species are the drivers of a changing environment – or passengers. For instance, as farms and cities expand, habitat becomes fragmented. Dingoes are often killed to protect livestock.
These changes can make herbivores (feral and native) more abundant by creating edge habitat with novel food sources, while foxes can benefit from fewer dingoes. Conservation authorities might profit from focusing on these drivers, rather than running expensive culling campaigns every year.
What might we discover if we wrestled with these complexities openly and transparently to understand which feral species might have conservation value?
How to think about conserving ferals
In recent research, we examined what conservation of threatened feral populations could look like.
We found conservation priorities wouldn’t change much. The main change would be that some landscapes in Europe, the southwestern United States and central Australia would become more globally valuable as a way to prevent extinction of species, such as fallow deer and the African wild ass.
Moving to recognise banteng and other species as worthy of some protection in Australia wouldn’t overturn existing conservation work. What would change is the story we tell. Rather than thinking of Australia as a land where the richness of nature is dwindling, we could also think of it as an unexpected refuge for species that are threatened elsewhere – and recovering here.
Wild dromedaries no longer roam the deserts of the Middle East and North Africa. Banteng and hog deer are vanishing from the rainforests and plains of their original homes. Australia may be the last place on Earth to see these species wild and free. Don’t we have responsibilities to protect them?
Daniel Ramp receives funding from the Australian Research Council and other public and private funding bodies. He is a Board Director for Voiceless, an animal protection charity.
Erick Lundgren receives funding from the Centre for Open Science and Synthesis in Ecology and Evolution at the University of Alberta, Canada
Jens-Christian Svenning receives funding from multiple Danish and European research public and private funding bodies.
Martin Schlaepfer receives funding from various Swiss governmental entities.
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