In the context of ecological systems, adaptive capacity is determined by:
- genetic diversity of species
- biodiversity of particular ecosystems
- heterogeneous ecosystem mosaics as applied to specific landscapes or biome regions.
In the context of couple socio-ecological social systems, adaptive capacity is commonly associated with following characteristics:
- the ability of institutions and networks to learn, and store knowledge and experience.
- creative flexibility in decision making and problem solving
- the existence of power structures that are responsive and consider the needs of all stakeholders.
Benefits of adaptive capacity
- In ecological systems, this resilience shows as net primary productivity and maintenance of biomass and biodiversity, and the stability of hydrological cycles.
- In human social systems it is demonstrated by the stability of social relations, the maintenance of social capital and economic prosperity.
Characterising and supporting adaptive capacity
Adaptive capacity can be enhanced in a number of different ways. A report by the Overseas Development Institute introduces the local adaptive capacity framework (LAC), featuring five core characteristics of adaptive capacity. These include:
- Asset base: the availability of a diverse range of key livelihood assets that allow households or communities to respond to evolving circumstances
- Institutions and entitlements: the existence of an appropriate and evolving institutional environment that allows for access and entitlement to key assets and capitals
- Knowledge and information: the ability households and communities have to generate, receive, assess and disseminate knowledge and information in support of appropriate adaptation options
- Innovation: the system creates an enabling environment to foster innovation, experimentation and the ability to explore niche solutions in order to take advantage of new opportunities
- Flexible forward-looking decision-making and governance: the system is able to anticipate, incorporate and respond to changes with regards to its governance structures and future planning.
Relationship between adaptive capacity, states and strategies
Adaptive capacity is associated with r and K selection strategies in ecology and with a movement from explosive positive feedback to sustainable negative feedback loops in social systems and technologies. The Resilience Alliance, as illustrated by the work of C. S. Holling and L. H. Gunderson, shows how the logistic curve of the r phase positive feedback, becoming replaced by the K negative feedback strategy is an important part of adaptive capacity. The r strategy is associated with situations of low complexity, high resilience, and growing potential. K strategies are associated with situations of high complexity, high potential and high resilience, but if the perturbations exceed certain limits, adaptive capacity may be exceeded and the system collapses into another so-called Omega state, of low potential, low complexity and low resilience.
- IPCC (2014). "Glossary" (PDF). Intergovernmental Panel on Climate Change.
- Gunderson, Lance (2000-11-01). "Ecological Resilience–In Theory and Application". Annual Review of Ecology and Systematics. 31: 425–439. doi:10.1146/annurev.ecolsys.31.1.425.
- Jones, Lindsey; Ludi, Eva; Jeans, Helen; Barihaihi, Margaret (2019-01-02). "Revisiting the Local Adaptive Capacity framework: learning from the implementation of a research and programming framework in Africa" (PDF). Climate and Development. 11 (1): 3–13. doi:10.1080/17565529.2017.1374237. ISSN 1756-5529.
- Jones, Ludi and Levine, Lindsey, Eva and Simon (December 2010). "Towards a characterisation of adaptive capacity: a framework for analysing adaptive capacity at the local level" (PDF). ODI: 8 – via Overseas Development Institute.
- Taylor, Douglas R.; Aarssen, Lonnie W.; Loehle, Craig (1990). "On the Relationship between r/K Selection and Environmental Carrying Capacity: A New Habitat Templet for Plant Life History Strategies". Oikos. 58 (2): 239–250. doi:10.2307/3545432. ISSN 0030-1299. JSTOR 3545432.
- Oizumi, Ryo; Kuniya, Toshikazu; Enatsu, Yoichi (2016-06-23). "Reconsideration of r/K Selection Theory Using Stochastic Control Theory and Nonlinear Structured Population Models". PLoS ONE. 11 (6): e0157715. Bibcode:2016PLoSO..1157715O. doi:10.1371/journal.pone.0157715. ISSN 1932-6203. PMC 4919082. PMID 27336169.
- Gunderson, L.H. and C.S. Holling, editors. Panarchy: Understanding Transformations in Human and Natural Systems. Island Press, Washington.
- Allen, Craig; Holling, C.s (2010-09-01). "Novelty, Adaptive Capacity, and Resilience". Ecology and Society. 15 (3). doi:10.5751/ES-03720-150324.