Tuesday 6
Modalities and political dimensions of the knowledge co-production for the resilience of socio-ecosystems
Frédérique Jankowski, Pascale Moity Maizi
› 17:15 - 18:10 (55min)
› Rondelet
Knowledge synergies for the Anthroposcene - A Multiple Evidence Base approach
Maria Tengö  1@  , Pernilla Malmer, Thomas Elmqvist, Jacob Von Heland, Eduardo Brondizio  2@  , Marja Spierenburg  3@  
1 : Stockholm Resilience Centre, Stockholm University  (SRC)  -  Website
Stockholm University Kräftriket 2B SE-114 19 Stockholm -  Suède
2 : Indiana University  (IU)
Indiana University Department of Anthropology Student Building 130 Bloomington, IN, 47405 -  États-Unis
3 : VU University Amsterdam  -  Website
Main building VU University Amsterdam De Boelelaan 1105 1081 HV Amsterdam The Netherlands -  Pays-Bas

To transform governance of biodiversity and ecosystems towards sustainability will require a rich understanding of the complex interactions of people and nature and the drivers and feedbacks that affects these interactions. How can we explore synergies and complementarity between knowledge systems to manage and enhanced ecosystem integrity and human well-being, while also respecting the rights and worldviews of knowledge holders? Indigenous and local knowledge systems are increasingly recognized and brought forward as sources of understanding on ecosystem dynamics, sustainable practices, and interdependencies between people and nature. However, this potential a potential has often not informed decision making on ecosystem management beyond the local level. In some regions and at some temporal and spatial scale, the sole source of knowledge may reside among local users and managers. However, there has so far been limited success in bringing knowledge systems together beyond case studies. Furthermore, the actors and knowledge systems that generate and underpin knowledge and insights are often not part of decision making processes. Thus, there is a great need to develop functioning mechanisms to proceed in legitimate, transparent, and constructive ways to create synergies between knowledge systems, in research as well as in science policy processes such as the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES).

We present anl approach for connecting diverse knowledge systems, the Multiple Evidence Base (MEB), that proposes parallels whereas indigenous, local and scientific knowledge systems are viewed to generate equally valid and useful evidence for interpreting conditions, change, trajectories, and causal relationships relevant to the sustainable governance of ecosystems and biodiversity (Tengö et al. 2013). The approach emphasizes the complementary nature of various knowledge systems, and the need to move away from translating knowledge into one currency, i.e. “integrating” local and indigenous knowledge into science through uni-directional validation processes. The approach draws on a dialogue process held with a network of Indigenous peoples and local communities, in particular the International Indigenous Forum for Biodiversity (IIFB) (see www.dialogueseminars.net/panama).

We further present insights from a pilot project trying out a MEB approach in assessing and synthesizing knowledge across knowledge systems on the social-ecological roles and meanings of sacred sites in India. Preliminary findings indicate that complementary insights are found across e.g. biodiversity research, common property research, and anthropology, as well as in local accounts and among practitioners. However, it is also clear that there are political aspects and tensions between knowledge accounts. We argue that bringing together diverse streams of knowledge, presenting each knowledge system on its own term and using internal mechanisms for validation, enables an enriched picture of the issue of investigation. The enriched picture can enable triangulation of information across knowledge systems and thus evaluation of the relevance of knowledge and information at different scales and in different contexts. This is also a starting point for further knowledge generation, within or across knowledge systems through cross-fertilization and co-production of knowledge.

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