Idealized complex adaptive system, disaggregated into components according to their function.

• Main Authors: Angus W. Naylor (11502419), James D. Ford (6095315), Tristan Pearce (4620556), David Fawcett (11502422), Dylan Clark (11502425), James van Alstine (11502428)
• Format: Still Image
• Language: unknown
• Published: 2021
• Subjects: Ecology; Science Policy; Environmental Sciences not elsewhere classified; Biological Sciences not elsewhere classified; participatory mapping sessions; inuit food systems; followed 10 hunters; div >< p; also affect harvesting; particularly financial capital; nt </ p; affect harvesting activities; climate change impacts; monitoring climate vulnerability; climate change; harvesting activities; n </; year period; within communities; weekly semi; trails (<; structured interviews; standalone factors; societal conditions; results demonstrate; political stressors; northwest territories; northern canada; lived experience; impacts manifest; highly dynamic; greater influence; gps monitoring; factors relating; extreme events; dynamic vulnerability; different timescales; conversational bi; considerable potential; changing environmental; cascading effects; acting synchronously; 409 ); Canada; Northwest Territories; inuit
• Online Access: https://doi.org/10.1371/journal.pone.0258048.g001

Here, potential vulnerability in each component of the food system (e.g. the availability of certain subsistence species, ability to access lands)—indicated by the box insert—is determined by the role of exogenous and endogenous stimuli and stressors, such as environmental change, the degree to which an individual has access to technology, or their access to entitlements. The ways in which these stimuli interact creates potential exposure-sensitivity (red) and adaptive capacity (blue) across time. The central ‘barcode’ illustrates this interaction and its dynamism, with the grey bars highlighting periods of adaptive deficit (vulnerability). Interconnectedness between components within the system allows vulnerability in a single component to affect or migrate to multiple other areas of the system through time, and to produce emergent/system wide changes (modified from Naylor et al . [ 20 ]).