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DESIGNING PROJECTS IN A RAPIDLY CHANGING WORLD

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APPENDIX B GLOSSARY AND KEY CONCEPTS<br />

B.1 GLOSSARY<br />

Table 6 Terms used in this report<br />

Term<br />

Adaptive capacity<br />

(Adaptability)<br />

Adaptation<br />

Adaptive Implementation<br />

pathways<br />

Adaptive<br />

governance<br />

Agro-ecosystem<br />

Component<br />

Controlling variable<br />

Decision context<br />

Domain<br />

(Stability domains)<br />

Domain shift<br />

Feedback loop<br />

Autonomous<br />

transformation<br />

General resilience<br />

Definition<br />

The capacity of actors in a system to respond to shocks and to trends and (if known) the<br />

proximity of the state of the system to a threshold, and so to influence resilience. See General<br />

resilience.<br />

This contested term has many variants (see B.2 below). In this report we use it in a way that is<br />

consistent with the social-ecological literature. It refers to the process of change that enables<br />

a system to maintain its identity, so that it is better able to cope with trends and shocks, or to<br />

reduce vulnerability to disturbance. We apply the term in this report to intentional actions by<br />

people, making the most of windows of opportunity.<br />

See Implementation pathways.<br />

Institutional and political frameworks designed to adapt to changing relationships in society and<br />

between society and ecosystems.<br />

Agro-ecosystems are one type of social-ecological system (SES): “An ecosystem managed<br />

with the intention of producing, distributing, and consuming food, fuel, and fibre. Its boundaries<br />

encompass the physical space dedicated to production, as well as the resources, infrastructure,<br />

markets, institutions, and people that are dedicated to bringing food to the plate, fibre to the<br />

factory, and fuel to the hearth. The aggregate ecosystem operates simultaneously at multiple<br />

nested scales and hierarchies, from the field to the globe.”<br />

A specific set of activities in RAPTA that are described as a self-consistent group of steps.<br />

They can be ongoing processes (e.g. Multi-stakeholder Engagement) that are used within<br />

other components such as the System Description component. Each component in RAPTA is<br />

interrelated with others, as specific aims, and outputs.<br />

A variable that is underlying or shaping change in the system. For example, CO 2<br />

concentration<br />

is a controlling variable for climate and ocean acidification. A controlling variable may not be of<br />

interest or concern in its own right, but because other variables of concern are affected by it.<br />

A controlling variable may change in a slow, predictable way (e.g. a rising groundwater table),<br />

but the impacts of that change may not be smooth and may exhibit threshold effects. For<br />

example, once saline groundwater rises to within a certain distance of the soil surface, capillary<br />

action draws it to the surface creating saline topsoil that can prevail even if the water table falls<br />

again. In this case, the controlling variable (groundwater level) changes smoothly, but the rapid<br />

response in soil fertility amounts to a rapid, effectively irreversible, shock to land use options.<br />

The specific combination of Values, Knowledge and Rules within which any given decision is<br />

made. See section on Values, Knowledge, Rules below table.<br />

The term “domain” is used to reflect the underlying concept that in any social–ecological<br />

system there can be multiple “stability domains”. Each domain has a different set of functions,<br />

structure, feedbacks and identity. Domains are separated by thresholds that mark a critical<br />

change in feedbacks, and once a threshold is crossed the changes in feedbacks work to keep<br />

the system in the alternate domain. See section B.3 below.<br />

A change in the state of a system from one stability domain to another. See Domain.<br />

A chain of cause and effect forms a loop that can either amplify or dampen the effects of<br />

change. For example, poverty can be reinforced by feedback loops (e.g. poverty leads to poor<br />

health which leads to unemployment which leads to greater poverty).<br />

An imposed transformation of a social-ecological system that is not initiated and guided<br />

deliberately by the actors. This is also known as unintentional or forced transformation. See also<br />

transformation.<br />

Capacity of the system to cope with a diverse range of shocks and disturbances. There are<br />

some system properties, such as high levels of health and education in a population, that confer<br />

a good ability to adapt and respond to a wide range of unexpected changes. It is sometimes<br />

referred to as “coping capacity” or “adaptive capacity”. Further discussion in Walker et al. (2014).<br />

94 Appendices

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