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Climate change was responsible for just over one-third of the simultaneous soya bean crop failures across Argentina, Brazil and the US in 2012, according to a new attribution study.

The research, published in Communications Earth & Environment, analyses the impact of hot and dry extreme weather that hit the three countries in 2012.

Although soya beans are an important crop for global food supplies most often in the form of animal feed – their production is concentrated in just three countries, leaving them susceptible to weather-related disruption.

Using climate and crop models, the researchers determine what the yield of the crop would have been in a world without warming.

They find that the impact of climate change – through warmer temperatures and drier soils – accounted for 35% of the yield reduction in 2012.

Furthermore, they warn, the impacts of similar events will only become stronger as the world continues to warm.

One researcher, who was not involved in the study, tells Carbon Brief that the novel application of existing methods in the study is “new and noteworthy”.

Soya bean shock

Soya is one of the “big four” staple crops – along with maize, rice and wheat – that together comprise almost 65% of global calories consumed and 45% of the world’s planted farmlands. 

In 2021, the world produced nearly 365m tonnes of soya beans. Less than 4% of this harvest fed humans directly, with the vast majority of it being processed into animal feed, vegetable oil or biofuel. 

Just three countries – Argentina, Brazil and the US – grow nearly three-quarters of the world’s supply of soya beans, the study says. The concentration of production in these three countries “makes the global soybean supply vulnerable to regional production shocks” – and especially those due to extreme weather events, the authors write.

Such was the case in 2012, when hot and dry extremes across the Americas caused a 10% drop in global production. This production drop was accompanied by record-high price spikes. 

The strength of the 2012 simultaneous failure was a primary reason for studying it, despite the fact that the event happened more than a decade in the past, says lead author Dr Raed Hamed, a climate scientist at Vrije Universiteit Amsterdam.

Another reason is that the selected soya-growing regions have well-understood links to El Nino-Southern Oscillation (ENSO), the large-scale climate pattern in the Pacific Ocean that influences global weather patterns and crop yields.

The low yield in 2012 came at the end of a three-year La Niña event. La Niña is the “cold phase” of ENSO, marked by cooler temperatures in the Pacific Ocean, but it is known to cause hotter- and drier-than-normal conditions in south-eastern South America and the US, respectively. According to the US National Oceanic and Atmospheric Administration, the 2012 La Niña was the third-warmest such event on record.

The charts below show the annual global production of soya as absolute totals (left) and relative to a baseline adjusted for the long-term production trend over 1980-2014 (right).

Global production of soya beans (left) and production anomaly, compared to a baseline adjusted for the 1980-2014 upward trend in production (right), in millions of tonnes. Dark green, light green, dark blue and light blue represent production in Argentina, the US, Brazil and the rest of the world, respectively. The red dot on the right chart shows the record production anomaly in 2012. Source: Hamed et al. (2025)
Global production of soya beans (left) and production anomaly, compared to a baseline adjusted for the 1980-2014 upward trend in production (right), in millions of tonnes. Dark green, light green, dark blue and light blue represent production in Argentina, the US, Brazil and the rest of the world, respectively. The red dot on the right chart shows the record production anomaly in 2012. Source: Hamed et al. (2025)

Soya storylines

In order to tease out the effects of climate change on the 2012 growing season, the researchers use a “storyline” approach.

Many attribution studies take a “probabalistic” approach, running climate models both with and without warming thousands of times to determine how climate change affected the duration, likelihood or intensity of an event. 

By contrast, the storyline approach imposes a fixed atmospheric circulation – in this case, the 2012 La Niña event – on top of three different levels of warming: a pre-industrial world, the factual 2012 world and a world that has warmed by 2C. Hamed explains:

“So we remove the question of how likely it is, but we say: ‘Given a similar event in a warmer climate, what would the impact be like?’”

This approach was necessary, Hamed says, because “there is a big question mark” around how further warming will impact ENSO and, in particular, the atmospheric circulation.

Then, the researchers use the temperature and soil moisture outputs from each warming scenario to calculate the soya bean yield in three major growing regions: the US, central Brazil and south-eastern South America, which encompasses parts of Brazil and Argentina. By comparing the actual yield changes in 2012 to those from the pre-industrial model runs, they quantify how much of the lower yield can be attributed to climate change.

They find that, overall, climate change – in the form of warmer temperatures and drier soils – was responsible for 35% of the “production deficit” during the 2012 failure.

However, the impact of the hot-and-dry event differed significantly between regions. In the US, warming caused a 3.5% decrease in production, compared to a world with no climate change, while in south-east South America, production fell by 222%. In central Brazil, climate change actually improved production by 14%.

Change in soya bean yield (left), summertime temperature (centre) and summertime soil moisture (right) for the 2012 drought event. For yield, green indicates higher-than-expected and pink indicates lower-than-expected. For temperature, darker red shows a stronger warming anomaly; light blue shows a cooling as compared to TK. For soil moisture, teal colours indicate wetter-than-normal conditions and brown colours indicate drier-than-normal conditions, with darker colours showing a stronger effect. Source: Hamed et al. (2025)
Change in soya bean yield (left), summertime temperature (centre) and summertime soil moisture (right) for the 2012 drought event. For yield, green indicates higher-than-expected and pink indicates lower-than-expected. For temperature, darker red shows a stronger warming anomaly; light blue shows a cooling as compared to TK. For soil moisture, teal colours indicate wetter-than-normal conditions and brown colours indicate drier-than-normal conditions, with darker colours showing a stronger effect. Source: Hamed et al. (2025)

While this type of approach is not necessarily “novel”, the “application is new and noteworthy”, says Dr Dáithí Stone, a climate scientist at New Zealand’s National Institute of Water and Atmospheric Research. Stone, who was not involved in the study, adds:

“Soya bean is one of the [main] staple crops on the planet and one that’s very much growing in demand. So it’s very important and there are susceptibilities. We do have these sensitivities, these risks, if we have production concentrated in these three areas.”

Future yields

In addition to comparing the event to one in a pre-industrial climate, the researchers use the same approach to project the potential impacts of the same event occurring in a world with 2C of warming above pre-industrial temperatures. 

While the effects of the 2012 event were mainly concentrated in the south-east South America region, the impacts are felt in each of the three regions. Furthermore, at higher temperatures, the impact of the interactions between temperature and soil moisture becomes more significant, particularly in the south-east South America region.

The chart below shows the soya bean production anomaly for each region under (left to right) the pre-industrial climate, the actual climate in which the event occurred and the climate with 2C of warming.

Change in soya bean production, in millions of tonnes, for a 2012-like event occurring under (left to right) pre-industrial levels of warming, the event as it happened and 2C of warming. The stacked bars within each panel show the change in production for central Brazil, south-east South America and the US, while the colours show the change attributable to temperature (red), soil moisture (tan) and the synergistic effects of the two (red). The grey box in the background shows the total production change across all three regions. Source: Hamed et al. (2025)
Change in soya bean production, in millions of tonnes, for a 2012-like event occurring under (left to right) pre-industrial levels of warming, the event as it happened and 2C of warming. The stacked bars within each panel show the change in production for central Brazil, south-east South America and the US, while the colours show the change attributable to temperature (red), soil moisture (tan) and the synergistic effects of the two (red). The grey box in the background shows the total production change across all three regions. Source: Hamed et al. (2025)

The “simple” setup of the analysis means there are many caveats to the study, Hamed says. For example, there is no consideration of adaptation, such as the possibility of farmers planting a larger area or implementing an irrigation system.

It also does not consider future improvements to technology and yields. (Global soya bean yield has been steadily climbing since the 1960s, although, Stone points out, “you can only increase the yield so much”.)

Stone tells Carbon Brief:

“These sorts of studies which look at the impacts of extreme weather in the context of climate change are very useful.

“The impacts of climate change tend to be in these extreme events. They’re the things that stress test us normally, so they’re stress testing us more. And so understanding these events and how their impacts cascade down the system as well…is becoming increasingly important as we enter a warmer world.”

The post ‘One-third’ of 2012 soya crop failure in the Americas was due to climate change appeared first on Carbon Brief.

‘One-third’ of 2012 soya crop failure in the Americas was due to climate change

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Paris Agreement committee names three countries snubbing it over NDCs

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Three countries have been named by the Paris Agreement’s compliance committee for failing to submit a nationally determined contribution (NDC) and repeatedly snubbing offers of help with their climate plans.

After months of internal debate over whether to identify serial non-responders, the Paris Agreement’s Implementation and Compliance Committee (PAICC) named the three countries which have failed to engage with it over their NDCs on Friday.

It named Democratic Republic of Congo, Senegal and North Korea in a footnote of its annual report, adding that it decided to name them “with a view to facilitating engagement”, adding that representatives of the three nations had been invited to its meeting in early 2027 “with the purpose of identifying any challenges and constraints”.

“The Committee noted the importance of Parties engaging with the Committee in a timely manner, while noting that some delays may be due to the national capabilities and circumstances of the Parties”, the report said.

    In July, PAICC said 12 countries had ignored its repeated attempts to discuss why they had not published an NDC as required every five years under the 2015 Paris accord.

    Members of the committee had been divided over whether to name them, but at a September meeting decided to do so in their annual report to the annual climate COP summit.

    By the time the report was published on Friday, only Congo, Senegal and North Korea “had not communicated an NDC or submitted a [Biennial Transparency Report] and had not yet responded to any of the Committee’s notifications, despite several reminders issued by the Committee in this regard”.

    Rainforest and renewable energy ambitions

    The silence from Congo and Senegal is notable because the former is home to much of the Congo Basin rainforest while the latter has sought billions of dollars in climate finance to support its renewable energy ambitions.

    After Brazil, Congo has more rainforest than any country in the world. This forest, and the country’s peatlands, absorb huge amounts of greenhouse gas but are fast being lost to expanding farmland, charcoal production, logging and mining.

    Senegal signed a Just Energy Transition Partnership with Canada and wealthy European nations in 2023, to help it meet its renewable energy targets under the-then government of Macky Sall. It was chair of the Least Developed Countries group between January 2022 and December 2023.

    Greenpeace campaigner Raoul Monsembula in the peatland forest around Mbandaka, Democratic Republic of Congo, on September 15, 2017 (Daniel Beltra/Greenpeace)

    Tejas Rao, who is researching the PAICC as part of a doctoral thesis at Cambridge University, said the governments of the three countries should engage with the committee.

    “Engagement costs these governments very little and the committee has shown it will listen,” he said.

    “Silence leaves the committee with no basis to help, and it leaves the [governments] exposed to the narrative that they are simply disengaged,” he told Climate Home News.

    Paris Agreement requirement

    The 2015 Paris Agreement requires all parties to publish an NDC every five years outlining their emissions reduction targets, with each plan meant to be more ambitious than the country’s last NDC.

    The latest set – the third round of plans, with new targets for 2035 – was due in February 2025. While most countries missed this deadline, all but around 30 – mostly small emitters but including Egypt, Vietnam and Argentina – have now submitted them.

    Over the year, the PAICC – which is made up of government climate officials from developed and developing countries – has been communicating with governments that have not submitted NDCs and trying to overcome barriers to them doing so.

    Some nations have cited exceptional circumstances as the reason for not submitting an NDC, a process that requires a significant amount of work in tracking emissions and consulting on how to curb them across the economy. For example, a letter from a Sudanese official to the PAICC, seen by Climate Home News, said that the country’s civil war had led to the suspension of its NDC preparation.

      The US and Iran are not signed up to the Paris Agreement and so do not have active NDCs, nor does Taiwan, which is not a UN member state.

      Rao said that because the PAICC is “facilitative and non-punitive”, naming the countries “is meant to open a door, not close one – the invited consultation is the point”.

      “In recent months, governments that explained their constraints, whether capacity, finance or domestic process, have been met with follow-up and support rather than sanction, and the number of silent governments has fallen sharply,” Rao said.

      The post Paris Agreement committee names three countries snubbing it over NDCs appeared first on Climate Home News.

      Paris Agreement committee names three countries snubbing it over NDCs

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      Q&A: Why a pivotal IPCC meeting in Ethiopia ended in ‘profound disappointment’

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