Local Ecological Learning: Creating Place-based Knowledge through Collaborative Wildlife Research on Private Lands.

Abstract

Wildlife across all land tenures is under threat from anthropogenic drivers including climate change, invasive species, and habitat loss. This study focuses on private lands, where effective management for wildlife conservation requires locally relevant knowledge about wildlife populations, habitat condition, threatening ecological processes, and social drivers of and barriers to conservation. Collaborative socio-ecological research can inform wildlife management by integrating the place-based ecological and social knowledge of private landholders with the theoretical and applied knowledge of researchers and practitioners, including that of Traditional Owners. In privately-owned landscapes, landholders are often overlooked as a source of local ecological knowledge grounded in learning through continuous embodied interaction with their environment and community. Here we report on WildTracker, a transdisciplinary socio-ecological research collaboration involving 160 landholders in Tasmania, Australia. This wildlife-focused citizen science project generated and integrated local socio-ecological knowledge in the research process. The project gathered quantitative and qualitative data on wildlife ecology, land management practices, and landholder learning via wildlife cameras, sound recorders, workshops, questionnaires, and semi-structured interviews. Through this on-going collaboration, landholders, researchers, and conservation practitioners established relationships based on mutual learning, gathering and sharing knowledge, and insights about wildlife conservation. Our project documents how local ecological knowledge develops and changes through everyday processes of enquiry and interaction with other knowledge holders including researchers and conservation practitioners. Qualitative insights derived from the direct experience and citizen science practices of landholders were integrated with quantitative scientific assessments of wildlife populations and habitat condition to produce a novel model of collaborative conservation research.