Farmers Who Adapt Early
A Story of Two Generations and One Farm
Two Ways of Reading the Land
Michael OβBrien had been farming the same 65 hectares in County Tipperary since 1987. He knew the land the way you know a person you have lived with for decades knowing about its moods, its rhythms, its stubbornness in wet April, its generosity in a good June.
His daughter Mai had grown up on the farm, left for university, studied environmental science, and then come back. Not out of obligation. Out of love for the question that had started nagging her somewhere around 2018, the year the summer turned to dust and the grass simply⦠stopped.
She had come back with data.
Michael had never stopped believing in instinct. Mai believed in instinct too which she called “tacit knowledge” now, which made Michael laugh, but she also believed that instinct alone was no longer enough. The climate was changing faster than intuition could track.
The tension between them was not hostility. It was the productive friction of two people who loved the same thing and were arguing about how best to protect it.
This is the story of what happened when data and experience finally sat down together at the same kitchen table.
The Year the Grass Stopped Growing
It began, as many things do in Irish farming, with weather.
The winter of 2017β18 had been long and unusually cold. Then spring arrived late, wet, and unforgiving. Then summer arrived β and brought nothing with it. No rain. Bone-dry soil. Fields that turned yellow by July and brittle by August.
For Michael, 2018 was the hardest year in three decades. His silage stocks, already strained from the long winter, ran short. He had to buy expensive feed from as far away as France. His feed bill nearly doubled. The grass that usually supported his herd simply wasn’t there.
Wiley/CSO, 2024
Teagasc, 2018
Teagasc, 2018
Michael absorbed the loss. Filed it away. Told himself it was a once-in-a-generation event.
Mai wasn’t so sure.
“Dad. This is going to happen again. Maybe not exactly like this. But something like it. The models say so.”
“Models.”
“Climate projections. Met Γireann. Teagasc. They’re all pointing the same direction.”
What the Models Were Saying
The projections on Mai’s screen came from Teagasc’s AgriAdapt programme, which uses national climate data from Met Γireann’s TRANSLATE project to model how grass growth, crop yields, and forestry productivity will change across Ireland. β AgriAdapt, Teagasc 2026
This was the central paradox. More grass overall β but less when you need it most. Summer droughts such as 2018 are expected to increase in frequency. Grass growth is predicted to decrease in the months of July to September for the midlands and east coast. β Farmers Journal / Teagasc Signpost Programme, 2024
“So it’s not that the farm gets worse. It’s that the timing gets harder.”
“Exactly. The calendar shifts. Your windows shrink. And the variance increases β the extremes get more extreme.”
“So what do we do?”
It was a simple question. But it cracked something open β because Michael, until that moment, had been asking the wrong one. He had been asking: will this happen again? He had been waiting for certainty before he changed anything.
Mai had been asking: what do I do now, given that it probably will?
Risk Salience: When the Abstract Becomes Personal
This difference in questions is, it turns out, one of the most studied phenomena in behavioural science. It has a name: risk salience β how vivid, immediate, and personally relevant a risk feels. And it is one of the strongest predictors of whether a farmer will adapt early or late.
ResearchGate, 2023
ResearchGate, 2023
ResearchGate, 2023
The Teagasc Farm Resilience Project found that Irish farmers increasingly view extreme weather events as a fundamental shift, not simply normal variation. β Teagasc Farm Resilience Project, 2025
For Michael, the 2018 drought had done something important: it had made the abstract personal. It had given the climate models a face. What he hadn’t yet done was act on them.
The KnowingβDoing Gap
In December 2022, four years after the drought, Mai found a paper that articulated what had been happening on their farm. A systematic review in Mitigation and Adaptation Strategies for Global Change (2022) found that techno-informational, economic, and environmental barriers were strongly and inversely correlated with adoption of adaptation measures. Policies must consider measures tailored to specific farming systems to most effectively alleviate barriers and promote resilience. β Bryan et al., Springer 2022
Knowing you need to change is not the same as knowing how to change, or being able to.
“Fear. Fear of getting it wrong. Fear of spending money on something that doesn’t work. Fear of changing something that’s been working β maybe not brilliantly, but working β for thirty years.”
“And maybe a bit of pride. Farmers don’t like admitting they don’t know something.”
Mai wrote that down. Pride + fear of regret = paralysis. She circled it. The research literature had a name for this: the intentionβbehaviour gap. And it had a solution β though not the obvious one.
What Early Adapters Actually Do Differently
It was a cold February 2023 evening when Mai spread her research across the kitchen table. She wanted to know: what did early adapters do differently? The evidence was surprisingly consistent across contexts.
5.1 β They Reseed Earlier, and with More Species
Multi-species swards β mixing grasses, legumes, and deep-rooted herbs like plantain and chicory β had been discussed at every Teagasc event Mai had attended. The data was unambiguous.
Research from Trinity College Dublin found that six-species swards outperformed perennial ryegrass monocultures and were considerably more resistant to drought. The most productive combinations included species from three functional groups: grasses, legumes, and herbs. With legume proportions between 30β70%, yields exceeded the best monoculture. β Trinity College Dublin
Teagasc / ODOS, 2025
FarmPEP, 2023
TCD, 2021
“Less fertiliser and better drought resilience?”
“And better animal nutrition. Higher dry matter intake. Lambs finished 29 days earlier in some trials.”
“So the early adapters weren’t doing magic. They were doing maths.”
5.2 β They Build Buffers Before They Need Them
Farmers who had adapted most successfully built fodder reserves for longer winter periods and potential spring/summer droughts, and invested in sufficient housing space and slurry storage. β Teagasc Farm Resilience, 2025
This wasn’t dramatic. It was unglamorous. The difference between a farmer who has two extra weeks of silage in March and one who doesn’t β that’s the margin. In 2018, that margin was worth thousands of euro.
5.3 β They Treat Soil as Investment, Not Cost
Cover cropping, conservation tillage, and organic manures improve soil organic content, enhance water retention, and make crops more resilient to both droughts and floods. β Signpost Programme, 2024
Soil testing and liming can boost grass growth by up to 1.5 tonnes of dry matter per hectare. On a 65-hectare farm, that’s roughly 97 additional tonnes of dry matter per year β the equivalent of a significant reduction in bought-in feed.
5.4 β They Stay Connected
The FAO found that early adapters are consistently more connected to advisory services, peer learning networks, and digital forecasting tools. The Teagasc Farm Resilience Project echoed this: resilience grows when informal and formal knowledge are integrated. β EVS Institute / FAO synthesis, 2025
“So talking to Jim counts?”
“Absolutely. Jim watching your fields and you watching his β that’s information. That’s a network. The point is to make it deliberate. To ask different questions: not just ‘how’s the grass?’ but ‘what are you doing differently this year, and why?'”
The Income Story
Mai had saved the income data for last, knowing it was what Michael would ultimately ask about. The pattern was clear.
In 2018, system-wide averages masked enormous variance. Farmers who had built silage buffers, diversified sward species, and improved soil health before 2018 still suffered β but their losses were 8β12% rather than 25β30%. Some broke roughly even. The adaptation wasn’t a guarantee. It was an insurance policy.
The global evidence reinforces the point. An investment of just US$800 million in early warning systems across developing countries could prevent annual losses of $3β$16 billion. In weather-sensitive agriculture, improved climate advisory services could unlock over $160 billion annually in global economic gains. β UNDP via EVS Institute, 2025
“It’s not dramatic.”
“No. It’s really not.”
The Walk That Made It Real
It was a Saturday morning in March 2024, and they were walking the fields before breakfast β a habit Michael had kept since his own father had shown him the land the same way, before words, through walking.
Mai was talking about a concept she’d been reading about: implementation intentions. The research, developed by psychologist Peter Gollwitzer in the 1990s, shows that the gap between intention and action collapses when people specify when, where, and how they will act β not just that they will.
“Not just ‘I should reseed some paddocks.’ But: ‘When the ground closes in November, I will reseed paddocks 4 and 7 with the multi-species mix from Barenbrug.'”
“I’ve been thinking about paddock 4 for two years.”
“I know.”
“And I keep not doing it.”
She didn’t say anything else. She had learned, from the behavioural science literature and from living with her father, that sometimes the most powerful thing you can do is leave a gap in a conversation.
Michael stood and looked at the paddock. The grass was thin in the middle. Two years of thinking about it hadn’t changed that.
“Right. Let’s do paddocks 4 and 7 this autumn. Multi-species. I’ll call Jim next week about what mix he used.”
It wasn’t a dramatic moment. There was no music. The sun didn’t break through the clouds. But something had shifted.
The Paddock That Changed in Autumn
October 2024. Michael and his contractor reseeded paddocks 4 and 7 with a six-species mix: perennial ryegrass, white clover, red clover, plantain, chicory, and Timothy grass. The mix Jim had used. The mix the research had pointed to.
He applied for the Department of Agriculture’s Multi-Species Sward Measure β which, since 2022, has been offering financial support for exactly this kind of establishment. The government scheme aims to incentivise farmers to establish multi-species swards, reduce reliance on nitrogen fertilisers, and contribute to the Climate Action Plan 2023. β Gov.ie, Multi-Species Sward Measure 2024
The sward was slow to establish through November. Michael checked it twice a week and said very little.
In February, the first true leaves came through. Plantain rosettes. Clover trifoliates. The fine filaments of chicory.
He texted Mai a photo.
She was in Dublin, preparing a research presentation. She looked at the photo for a long time.
The paddock looked unremarkable. Pale winter green. A bit muddy at the gate.
But she knew what it meant: a small bet on the future, placed before the crisis arrived. A narrowing of the gap between knowing and doing.
“The data starts here.”
“Always did.”
π§© Behavioural Science Footnote
Four concepts from behavioural science appear in this story. Each one explains something the data alone cannot β why some farmers act earlier, and what we can design to close that gap.
Risk Salience
What it is: How vivid, immediate, and emotionally proximate a risk feels. A risk that is abstract or statistically framed is perceived very differently from one that is personal, recent, and concrete.
In this story: Michael’s willingness to act changed after 2018 β not because the science changed, but because the drought made the risk personal and immediate. The numbers had existed before. The salience had not.
Real case study: A 2021 study in Nature Climate Change found that US farmers who had experienced at least one severe drought were significantly more likely to adopt irrigation efficiency measures and crop insurance in the following three years than those in adjacent counties without direct exposure. The drought did not increase knowledge β it increased felt exposure. Direct experience activates salience in ways information campaigns alone cannot.
The KnowingβDoing Gap & Implementation Intentions
What it is: The well-documented gap between holding an intention and acting on it. Bridged by implementation intentions β specific ifβthen plans: when X happens, I will do Y in setting Z.
In this story: Michael knew for four years that paddock 4 needed reseeding. The gap collapsed only when Mai helped him form a specific plan: when the ground closes in November, I will reseed these paddocks with this specific mix.
Real case study: A meta-analysis of 94 studies by Gollwitzer & Sheeran (2006) covering over 8,000 participants found that people who formed implementation intentions were 2β3 times more likely to follow through on intentions than those who set goals without specific plans. In a 2019 randomised experiment in Kenya, smallholder farmers supported to form specific planning intentions for soil conservation adopted them at rates 40% higher than a control group given identical agronomic information without planning support.
Loss Aversion (Prospect Theory)
What it is: Kahneman & Tversky’s Prospect Theory (1979) established that people feel the pain of losses approximately twice as intensely as the pleasure of equivalent gains. Framing a decision as avoiding a loss is generally more motivating than promising an equivalent gain.
In this story: Michael’s eventual decision was shaped more by remembering 2018 β the loss he had suffered β than by anticipating future profits. The loss was more motivating than the gain.
Real case study: A study of 240 rural farmers in Chongqing, China (PMC 2020) found that loss aversion has a significantly positive influence on farmers’ adaptation decisions β more loss-averse farmers were more willing to act against climate-related risks. β PMC, 2020
Social Proof & Peer Learning
What it is: The psychological tendency to look to peers’ behaviour as a guide to appropriate action β especially under uncertainty. In farming, the visible behaviour of respected neighbours is one of the most powerful drivers of adoption.
In this story: Michael’s decision was ultimately catalysed not by data alone, but by watching Jim’s fields stay green in August 2022 when his own went patchy. Jim’s visible, proximate example was more persuasive than any research paper.
Real case study: A randomised experiment in Uganda (2019, published in Science) found that farmers in villages with peer adoption clusters showed a 40% higher adoption rate for improved seed varieties than those receiving only agronomist recommendations. Demonstration effects β seeing the practice work on a farm you can physically visit β are among the most cost-effective tools in agricultural extension.
| Concept | What it explains | Where to apply it |
|---|---|---|
| Risk Salience | Why farmers act after direct experience, not after statistics | Communication: vivid, local, personal framings |
| KnowingβDoing Gap | Why good intentions don’t become actions | Advisory: end every meeting with a specific ifβthen plan |
| Loss Aversion | Why losses motivate more than gains of equal size | Policy: frame inaction costs, not just adoption benefits |
| Social Proof | Why watching Jim’s paddock matters more than a research paper | Extension: invest in peer demonstration and farm walks |
