
What the latest research reveals about regenerative practices
This week we begin with new infrastructure for circular agriculture, mapping how farm-level practices actually operate in practice. From there, the focus broadens to biodiversity finance, where institutional reform, not capital scarcity, emerges as the binding constraint. Climate risk is then reframed through a more complex lens, showing how extreme outcomes can arise even under moderate warming scenarios. Finally, the lens turns inward to how integrating Indigenous knowledge systems can reshape both research and practice toward more relational, long-term approaches.
Read on below for highlights and links across these themes:
- Mapping Farm Circularity: Building the data infrastructure to understand how circular practices actually function at the farm level
- Financing Nature at Scale: Why biodiversity loss is fundamentally a governance failure, not a capital shortage
- Adaptation Under Uncertainty: How moderate warming scenarios can still produce extreme, system-wide climate risks
- Braiding Knowledge Systems: Integrating Indigenous and Western approaches to redefine sustainability as a relational practice
Mapping Farm Circularity
This article introduces a novel, large-scale dataset that positions circular economy (CE) practices in agriculture as an empirical and organizational field of inquiry rather than a purely normative agenda. Drawing on a structured survey of 1,200 Italian farms, the authors assemble a granular dataset that captures how farms operationalize circularity through waste reduction, biomass valorization, regenerative inputs, and resource efficiency.
The contribution lies less in advancing theory directly than in building the empirical infrastructure needed to study how circular practices diffuse, vary, and perform at the farm level. In doing so, the article reframes food waste not merely as a byproduct of inefficiency but as a key leverage point within broader agro-ecological systems, where reducing surplus and improving input-output ratios can simultaneously address environmental degradation and production pressures.
By making visible the heterogeneity of farm behaviors and practices, the dataset opens up new analytical possibilities: comparing adoption patterns, identifying barriers to circular transitions, and linking micro-level practices to system-wide sustainability outcomes. The article ultimately positions data itself as a critical bottleneck in advancing circular agriculture, arguing that without detailed, standardized, and accessible farm-level evidence, both policy design and organizational change remain constrained.
Read more: Survey data on Circular Economy practices in Italian farms with a focus on surplus food and food waste (Nature, Scientific Data, 2026)
Financing Nature at Scale
This article reframes biodiversity loss not simply as an environmental crisis but as a systemic failure of economic and institutional design. The authors argue that the core challenge is not a lack of global capital, but the absence of governance structures capable of directing finance toward long-term ecological resilience. Despite biodiversity underpinning over half of global GDP and generating substantial co-benefits, it remains chronically undervalued due to market exclusions, inappropriate discounting practices, and misaligned incentives.
The authors identify a persistent biodiversity finance gap driven by political economy constraints: entrenched subsidies that incentivize ecological harm, investor norms prioritizing short-term returns, weak institutional capacity in developing regions, and an overreliance on voluntary mechanisms that lack durability. These dynamics produce uneven funding distributions and reinforce structural underinvestment, even where ecological urgency is highest.
Rather than proposing purely technical fixes, the article emphasizes institutional reform as the central lever for scaling conservation. It outlines a portfolio of politically informed solutions: phased mandatory corporate contributions, blended finance models that de-risk private investment, subsidy reform aligned with social compensation, and integration of biodiversity into national accounting and financial regulation. Across these approaches, credibility, transparency, and implementation capacity emerge as decisive conditions for success.
Read more: Scaling biodiversity conservation through institutional reform (Conservation Biology, 2026)
Adaptation Under Uncertainty
This article challenges conventional climate risk framing by arguing that moderate global warming scenarios do not preclude extreme, system-wide climate outcomes. Rather than treating worst-case futures as tied exclusively to high-end warming levels (e.g., 3–4°C), the authors show that extreme global climate configurations can emerge even under intermediate warming pathways due to spatially compounding and interacting climate hazards.
Drawing on climate model ensembles, the study introduces a more nuanced approach to identifying “worst-case” climates, focusing on coherent global patterns of extremes rather than simple averages. This reframing reveals that regional extremes (e.g., simultaneous heatwaves, droughts, and precipitation shocks) can align in ways that amplify systemic risks to food systems, infrastructure, and ecosystems, even when global mean temperature increases appear moderate.
The article intervenes in how climate risk is communicated and governed. By highlighting the limitations of average-based projections, it underscores the need for risk assessment frameworks that account for tail risks, compound events, and spatial interdependencies. In doing so, it pushes adaptation planning toward more robust, precautionary strategies that remain resilient under a wider spectrum of plausible futures.
Read more: Moderate global warming does not rule out extreme global climate outcomes (Nature, 2026)
Braiding Knowledge Systems
This article positions sustainability science as an incomplete project without the meaningful integration of Indigenous knowledge systems. Drawing on a collaborative workshop with Indigenous knowledge holders and researchers in Ontario, the authors argue that dominant Western approaches—rooted in reductionism and growth-oriented logic—are structurally ill-equipped to address interconnected ecological crises. Instead, they propose a paradigm shift toward relational, holistic, and regenerative frameworks grounded in Indigenous worldviews.
Central to the article is the concept of “braiding” knowledge systems, particularly through approaches like Two-Eyed Seeing, which treats Indigenous and Western epistemologies as complementary rather than hierarchical. The authors map key overlaps, such as systems thinking and circularity, while emphasizing Indigenous distinctions, including relational accountability, reciprocity, and seven-generational thinking. These perspectives reframe sustainability from technical optimization to a fundamentally ethical and relational practice, where human–nature interactions are guided by respect, responsibility, and long-term stewardship.
The article also critiques the institutional norms of science itself, challenging the assumed neutrality and detachment of Western research. It introduces concepts such as “research as ceremony,” intentionality in scientific practice, and place-based, community-engaged methodologies. These approaches foreground purpose, positionality, and accountability, countering extractive research traditions and aligning inquiry with regeneration rather than exploitation.
Ultimately, it calls for actionable transformation: embedding Indigenous knowledge into research design, fostering long-term community relationships, and redefining scientific success beyond publication and innovation metrics. Sustainability, in this framing, becomes not just a technical field but a cultural and epistemic reorientation toward restoring balance between humans, knowledge systems, and the living world.
Read more: Braiding Knowledge Systems: Integrating Indigenous Wisdom and Sustainable Research for a Regenerative Future (ACS Sustainable Chemistry & Engineering, 2026)