Connected social-ecological futures
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Stakeholder Type

Connected social-ecological futures

3.2.3

Sub-Field

Connected social-ecological futures

A great many models of ecological conditions in the future have been created50 and applied in practice.51,52 However, the scenarios that underpin how these futures are modelled require a better integration of diverse knowledge systems,53 surprise (uncertainty)54 and socio-economic and political data.55,56 These improvements can help meet the challenges of dealing with complex interactions between people and nature.57,58,59

Future Horizons:

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5-yearhorizon

Models better integrate more diverse socio-economic scenarios

Models better integrate the interactions between biodiversity — nature's contributions to people — and climate change, and are underpinned by more diverse socio-economic and political scenarios, including transformation towards more desirable futures. Ecology is increasingly integrated into economics, enabling forecasting of ecological consequences of monetary policy.

10-yearhorizon

Technology enables more holistic ecosystems models

Technology is used to combine diverse data streams and help generate more holistic models of ecosystems that can be used to anticipate various possible futures, including non-linear relationships and teleconnections across ecosystems. Models provide early-warning systems for some non-linear dynamics in ecosystems and include surprise and uncertainty. Ecosystem models successfully incorporate major socio-economic disruptions such as war, human migration, large-scale market collapse, political upheaval and pandemics. Agent-based models become more widely used, improving the ability to account for dynamic interactions between people and nature.

25-yearhorizon

Diverse knowledge systems inform decision-making

The recognition of the validity of diverse knowledge systems enables the integration of models and scenarios with a wider range of narrative storylines. Including Indigenous and local knowledge systems in models is best practice, enabling more diverse values for nature and a wider range of solutions to inform decision-making.

More broadly, few models consider cross-system and cross-scale connections: ecosystems are profoundly affected by economic, social and political processes such as large-scale displacement of people, global supply chains, governmental subsidies and treaties.60,61 War has rarely been treated in models of global change even though war has significant effects on biodiversity — nature’s contributions to people, food and energy systems.62,63,64 Then there is climate overshoot, which will have lasting and widespread impacts.65,66 Understanding all these processes, recognising what can be quantified and how best to include these aspects in models and their applications,67,68 is crucial for understanding what could be a better future for people and other life on Earth. There is also a need for models that take into account different philosophical approaches and human values of nature,69,70 such as envisioning a future of flourishing nature rather than a future of limited decline.71 Furthermore, understanding the importance of aspects that cannot be quantified and therefore modelled, for example some Indigenous knowledge approaches or relational values, and using other tools to incorporate these futures, is also critical.72,73

Given the primacy of economics in many societies, it is crucial to further integrate ecology with new forms of economic thinking, which may offer a path to greater sustainability, 74,75,76 embracing concepts such as degrowth77,78,79 and reciprocity with non-human life.80