The research comes at a critical moment. Across Botswana, Eswatini, Lesotho, Mozambique, Namibia, South Africa and Zimbabwe, millions of pastoralists depend on cattle, sheep and goats grazing vast semi-arid rangelands. For these communities, livestock are far more than a source of income. They function as a family’s savings account, its food security and its cultural identity, often accumulated and passed down through generations. When drought kills a herd, it does not merely erase a season’s earnings; it can liquidate decades of household wealth in a matter of months, trapping families in poverty from which recovery may take years or may never come at all.

Lead author Dr Matt Clark, a Research Associate in Sustainability Science with the Thriving Oceans Research Hub in the University of Sydney’s School of Geosciences, described climate variability as an inequity multiplier. If forecasts prove correct and a near-record El Niño develops, he said, the team expects the event to amplify inequalities across southern African rangelands. The core problem, he explained, is not that poor farmers lack climate information. It is that they often cannot afford to act on it. Wealthier producers can reduce herd sizes ahead of drought and rebuild when conditions improve, but many small-scale pastoralists simply do not have that financial buffer. Selling animals early means selling them cheap, and a depleted herd cannot regenerate quickly when rains return.

To understand how these dynamics play out at regional scale, the researchers built a detailed computational model representing pastoral communities across seven southern African countries. The model drew on projected rainfall patterns from European climate models together with empirical data on livestock populations, vegetation dynamics and community wealth. Rather than treating the region as a homogeneous whole, the simulation captured the decisions of thousands of individual livestock farmers operating under different climate conditions and different adaptation interventions. As the model settled into a stable state, wider patterns and the trade-offs between interventions emerged from the accumulation of those individual decisions, offering a level of granularity that broad regional averages cannot provide.

The team ran three simulations. The first represented a business-as-usual future, and its results were grim: increasing rainfall variability reduced household wealth, increased livestock losses, degraded grasslands and widened the gap between rich and poor. The second tested adaptation strategies in isolation. Access to improved forecasts alone delivered only modest benefits, because many households lacked the financial capacity to respond to the information they received. Risk-smoothing measures on their own, such as supplementary feed or insurance, could help households survive but sometimes forced environmental trade-offs, for example by keeping larger herds alive on already stressed landscapes.

The third simulation examined how adaptation spreads between neighbouring communities, drawing on conservation programs such as Conservation International’s Herding for Health initiative. Its findings were among the most encouraging of the study. When practical support accompanied climate information, communities learned from one another and adoption became self-reinforcing, providing a plausible pathway for climate adaptation at scale. In other words, the combination did more than add the benefits of each component; it created a social dynamic in which adaptation practices diffused organically through networks of neighbouring households, overcoming barriers that top-down programs have long struggled to breach.

The study identifies a suite of risk-smoothing measures that can make forecasts actionable: supplementary livestock feed, drought insurance, targeted financial support and improved market access. The logic is straightforward. A forecast warning of impending drought is only useful if a farmer can afford to sell animals at a fair price, buy feed to bridge the gap, or insure the herd against loss. By combining improved access to climate information with supported risk-smoothing, the researchers found, livestock farmers can avoid the environmental trade-offs that occur when either approach is used in isolation. The combination improved livelihoods, reduced inequality and protected rangelands simultaneously, overcoming trade-offs that have long challenged climate adaptation programs.

Dr Gina Arena, Science Lead for Herding for Health at Conservation International, emphasised that the communities involved are not passive in the face of a changing climate. It is not that the people the organisations work with are not thinking about adapting, she said; it is that greater uncertainty in climate brings greater risk, and communities need help identifying the best decisions and reducing the risk of implementing them. Research of this kind, she noted, helps do exactly that. Her comments underline a recurring theme in adaptation science: the bottleneck is rarely awareness or willingness, but the capacity to absorb the cost of a wrong decision in environments where a wrong decision can be catastrophic.

For Dr Clark, one of the most hopeful aspects of the findings is that they do not depend on inventing new technology. Weather forecasting is becoming increasingly accurate, he noted, and the opportunity now is to ensure those forecasts are paired with practical support so that the people who need them most can actually benefit. The framework developed for southern African pastoralists, he added, could equally be applied in Australia and other regions facing increasingly variable rainfall. As climate extremes become more common, adaptation needs to be as much about helping people act as about improving the forecasts themselves. That reframing shifts the policy conversation from a narrow focus on meteorological precision toward the socioeconomic infrastructure that determines whether precision matters.

The research was conducted through an international collaboration involving the University of Sydney, Imperial College London, Conservation South Africa, the South African Environmental Observation Network, the Max Planck Institute for Evolutionary Anthropology, the University of California Merced and the Santa Fe Institute. Cosima Fröhner, a former Mary Lister McCammon Fellow at Imperial College London, cautioned against dismissing the modelling as abstract, pointing out that simulating the decisions of thousands of individual farmers under different climate conditions and interventions produces something very practical: a way to see, before real lives and real herds are at stake, which combinations of support actually work and which merely shift costs elsewhere. The researchers declare no conflicts of interest, and the study received funding from the Leverhulme Trust, Research England and UK Research and Innovation. As El Niño conditions gather over the continent, the message for policymakers is unambiguous: information without the means to act is a warning unheard, and the communities least responsible for climate change remain the most exposed to its consequences unless adaptation programs close the gap between knowing and doing.

Subject of Research: Climate adaptation and inequality among pastoralist livestock farmers in southern African rangelands

Article Title: Improved climate forecasts alone won’t protect Africa’s poorest farmers

Article References: Improved climate forecasts alone won’t protect Africa’s poorest farmers. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: climate change, El Niño, pastoralists, drought, rangelands, southern Africa, livestock, climate forecasts, risk-smoothing, Nature Sustainability, adaptation, inequality

Pastoralism is one of the oldest and most sophisticated land-use systems in Africa. In the arid and semi-arid rangelands that stretch from the Sahel to the Horn of Africa and southward into East and Southern Africa, herding families have long survived by tracking scarce and scattered forage with mobile herds of cattle, camels, goats and sheep. Mobility, herd diversification, social lending networks and opportunistic breeding strategies form a portfolio of responses to an environment in which rain may fail in one district while falling abundantly in another. The system works not by eliminating risk but by spreading it across space, time and social relationships.

Climate change is now testing that logic in new ways. Scientific assessments of the region consistently point to rising temperatures, greater evaporative demand and shifts in the timing, concentration and intensity of rainfall. Even where total annual rainfall changes little, the season’s structure may transform: rains may arrive late, fall in a handful of destructive downpours, or break into longer dry spells within the growing season. For herders, the consequences ripple through forage availability, water points, disease dynamics and the market prices at which animals are bought and sold. Adaptation, the Nature Sustainability authors emphasize, has therefore become unavoidable.

Yet the study’s central insight is that adaptation decisions are rarely simple upgrades. Measures that reduce one kind of risk often heighten another. Settling in one place to access services and markets can strip a household of the mobility that protects it during drought. Destocking animals before a poor season protects rangelands and may secure cash, but it sacrifices the herd capital on which future recovery depends. Intensifying production on fenced parcels can raise short-term output while undermining the flexible, extensive grazing that buffers herds against localized forage failure. These are the trade-offs that adaptation programs, in the authors’ view, have too often ignored or treated as unavoidable collateral damage.

The researchers’ proposed remedy rests on two complementary pillars. The first is improved weather forecasting: better information about how the coming season is likely to unfold, delivered in forms herders can actually use. Seasonal forecasts, when credible and accessible, allow households to plan movements, adjust herd sizes, negotiate grazing agreements or time the sale of animals ahead of anticipated stress. Forecasting does not remove uncertainty, but it shifts decisions from reactive coping toward anticipatory management, which is generally far less costly in both economic and biological terms.

The second pillar, risk smoothing, addresses the temporal structure of losses. Rather than allowing risk to concentrate into rare, catastrophic events that can wipe out decades of herd-building in a single drought, risk smoothing deliberately spreads exposure more evenly across years. In practice this can involve moderate, regular destocking rather than crisis-driven fire sales, gradual rebuilding of herds after losses, and management rules that cap the proportion of livestock a household commits in any single season. The logic echoes portfolio theory in finance: a slightly lower average return is an acceptable price for avoiding ruinous downside outcomes. For pastoral households, avoiding collapse is often worth more than maximizing the upside of a good year.

The study’s analytical contribution is to show how these two tools interact. Forecasting without risk smoothing can tempt households to bet heavily on favorable outlooks, concentrating their exposure and leaving them vulnerable when forecasts prove wrong. Risk smoothing without forecasting can become overly conservative, forfeiting opportunities in good years and eroding household income. Combined, the authors find, the two approaches allow herders to navigate the trade-offs of adaptation with far less loss of welfare: households can pursue adaptive measures such as sedentarization, herd diversification or intensified management while the forecasting and smoothing framework protects them from the worst consequences when conditions defy expectations.

The implications extend well beyond the herding communities themselves. African rangelands are among the largest semi-natural ecosystems on Earth, supporting wildlife migrations, carbon stored in soils and vegetation, and livelihoods for tens of millions of people. Adaptation policies that push herders toward fixed, intensified production without accounting for trade-offs risk degrading these landscapes, eroding the mobility that sustains both livestock and biodiversity, and deepening the vulnerability of the very households the policies aim to help. The authors’ framework offers policymakers a way to design interventions that respect the risk architecture of pastoral systems rather than dismantling it.

The research also speaks to a broader debate in climate science and development: the difference between coping and adapting. Coping absorbs shocks after they strike; adaptation restructures systems before they do. But poorly designed adaptation can simply relocate risk, from households to ecosystems, from the present to the future, or from one hazard to another. By making trade-offs explicit and giving herders tools to manage them, the study argues, adaptation policy can move from a checklist of measures toward a genuine strategy for living well with variability. In African rangelands, where variability is the defining feature of the climate rather than an aberration, that reframing may prove one of the most important climate insights of the decade.

For the pastoralists of the Sahel, East Africa and beyond, the message is pragmatic rather than utopian. The climate they face will not return to the patterns their grandparents knew, and no forecast will ever be perfect. But decisions made with better information, and risks spread deliberately rather than endured accidentally, can keep households viable through the volatile decades ahead. In a world where climate adaptation funding is growing but often poorly targeted, the study’s pairing of forecasting with risk smoothing offers a rare example of a framework that is technically grounded, economically coherent and built around the realities of the people it is meant to serve.

Subject of Research: Managing trade-offs in climate change adaptation strategies for African pastoralist rangelands

Article Title: Minimizing climate change adaptation trade-offs in African rangelands

Article References: Clark, M., Fröhner, C., Jørgensen, A. C. S., Pienkowski, T., Yekela, S., Isaacs, A., Crowe, O., Andrews, J., Smaldino, P. E., Gallizioli, I. T., Arena, G., & Mills, M. (2026). Minimizing climate change adaptation trade-offs in African rangelands. Nature Sustainability. https://doi.org/10.1038/s41893-026-01938-0

Image Credits: AI Generated

DOI: 10.1038/s41893-026-01938-0

Keywords: climate change adaptation, African rangelands, pastoralism, seasonal forecasting, risk smoothing, rainfall variability, livestock management, drylands, Nature Sustainability, food security, Sahel, climate policy