Ayumi Onuma

Despite unprecedented political endorsement, nature-based solutions (NbS) consistently fail to achieve the systemic transformation required for climate and biodiversity crises. This implementation deadlock stems from a profound triple strategic gap: a translational evidence gap between fragmented science and actionable design, a strategic design gap in misaligned institutions, and a fundamental theoretical integration gap disconnecting ecological principles from socio-economic solutions. This study forges and validates the symbiosis framework—an interdisciplinary blueprint designed to bridge this triple gap. Employing design science research, we: (1) synthesize ecological theory with institutional economics to distill three core design principles—functional reciprocity, nested modular network architecture, and strategic leverage and foundational support; (2) translate these into a conceptual model and strategic implementation blueprint; and (3) validate the framework through comparative analysis of global NbS case studies. The resulting framework provides a novel translational logic, moving beyond critique to offer a prescriptive design tool. It enables practitioners to diagnose systemic failures and design interventions that emulate ecological intelligence while applying institutional design principles: cultivating reciprocal partnerships, structuring resilient networks through polycentric governance, and strategically targeting catalytic leverage points and foundational assets. We conclude that scaling NbS requires a paradigm shift from managing isolated symptoms to architecting symbiotic systems. The symbiosis framework provides the essential interdisciplinary blueprint for this shift.

Tropical peatlands store approximately 105 gigatons of carbon (GtC), serving as vital long-term carbon sinks, yet remain critically underrepresented in climate policy. Indonesia peatlands contain 57GtC—the largest tropical peatland carbon stock in the Asia–Pacific. However, decades of drainage, fires, and lax enforcement practices have degraded vast peatland areas, turning them from carbon sinks into emission sources—as evidenced by the 1997 and 2015 peatland fires which emitted 2.57 Gt CO₂eq and 1.75 Gt CO₂eq, respectively. Using system theory validated against historical data (1997–2023), we develop a causal loop model revealing three interconnected feedback loops driving irreversible collapse: (1) drainage–desiccation–oxidation, where water table below −40 cm triggers peat oxidation (2–5 cm subsistence) and fires; (2) fire–climate–permafrost, wherein emissions intensify radiative forcing, destabilizing monsoons and accelerating Arctic permafrost thaw (+15% since 2000); and (2) economy–governance failure, perpetuated by palm oil’s economic dominance and slack regulatory oversight. To break these vicious cycles, we propose a precautionary framework featuring IoT-enforced water table (≤40 cm), reducing emissions by 34%, legally protected “Global Climate Stabilization Zones” for peat domes (>3 m depth), safeguarding 57 GtC, and ASEAN transboundary enforcement funded by a 1–3% palm oil levy. Without intervention, annual emissions may reach 2.869 GtCO₂e by 2030 (Nationally Determined Contribution’s business-as-usual scenario). Conversely, rewetting 590 km²/year aligns with Indonesia’s FOLU Net Sink 2030 target (−140 Mt CO₂e) and mitigates 1.4–1.6 MtCO₂ annually. We conclude that integrating peatlands as irreplaceable climate infrastructure into global policy is essential for achieving Paris Agreement goals and SDGs 13–15.

Circular economic strategies have been widely deployed across the world to decouple industrial–urban growth from resource use and carbon emissions, aiming to mitigate environmental degradation. Despite these efforts, the global circularity gap has widened, and widespread crisis-ridden environmental repercussions continue to drive our planetary system closer to ecosystem collapse and climate breakdown. This article critically analyzes this circularity paradox based on an integrated conceptual framework grounded in environmental economic principles, system theory, the laws of thermodynamics, and empirical case studies. The analysis elucidates the macro-level dynamics and intricate feedback mechanisms between industrial–urban systems and environmental systems, revealing the underlying ecological conflicts and environmental forces that drive deleterious changes in ecosystems and the climate system. These changes causally impede sustainable industrial–urban development. The findings underscore that addressing environmental threats to industrial–urban sustainability requires not only enhancing the efficient use and sustainable management of natural resources but, more importantly, prioritizing the preservation and restoration of ecosystem resilience and climate system stability.

To achieve the conservation goals of national parks, involving locals in park operations provides a win/win approach for local development and wildlife management. However, while some bioeconomic studies examine the effectiveness of biodiversity conservation projects that employ locals, most ignore the direct involvement of local workers in national park operations. Moreover, the existing literature tends to assume that national parks are for-profit organizations, whereas they are generally non-profit entities. In this study, we develop a bioeconomic model to investigate the extent to which involving locals in tourism in a national park managed under two different styles of management (i.e., non-profit and for-profit agencies) influences wildlife conservation. We find certain conditions under which involving locals in national park operations can conserve wildlife. Under these conditions, if wildlife conservation does not reduce agricultural productivity, non-profit agencies raise the utility of locals and promote wildlife conservation more than for-profit agencies. Otherwise, non-profit agencies do not necessarily increase the utility of locals or improve conservation compared with for-profit agencies. In addition, we compare the equilibria under both types of agencies and show that they do not generally achieve the social optimum.

With the increase in disasters due to climate change, there has been a growing interest in green infrastructures that utilize nature for disaster risk reduction (DRR). However, green infrastructures cannot completely protect against hazards. Therefore, this study investigates the public preference in Japan for DRR and its uncertainty using a survey-based choice experiment. The results showed that benefits were obtained from the increase in “success probability”, “reduction in human damage”, “reduction in property damage”, and “reduction in indirect damage”; however, the benefits obtained from additional improvements diminished. Moreover, the results of our analyses revealed that preferences for DRR and its uncertainty were heterogeneous among respondents, and the population segment that includes more women, older people, and more people who live in areas that may be directly affected by floods had higher ratings for “success probability” and relatively slightly lower ratings for “reduction in indirect damage”.