Abstract obtained via online. 2 pages., Synthesizes lessons learned and challenges encountered when applying indigenous and non-indigenous knowledge and methods in natural and cultural resource management (NCRM) in northern and central Australia. Authors identify four key themes for consideration in collaborative cross-cultural NCRM.
Worthington, Thomas A. (author), Andradi-Brown, Dominic A. (author), Bhargava, Radhika (author), Buelow, Christina (author), Bunting, Pete (author), Duncan, Clare (author), Fatoyinbo, Lola (author), Friess, Daniel A. (author), Goldberg, Liza (author), Hilarides, Lambert (author), Lagomasino, David (author), Landis, Emily (author), Longley-Wood, Kate (author), Lovelock, Catherine E. (author), Murray, Nicholas J. (author), Narayan, Siddharth (author), Rosenqvist, Ake (author), Sievers, Michael (author), Simard, Marc (author), Thomas, Nathan (author), van Eijk, Pieter (author), Zganjar, Chris (author), and Spalding, Mark (author)
Format:
Journal article
Publication Date:
2020
Published:
International
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 201 Document Number: D11696
27 pages., Authors provide an overview of recent and forthcoming global datasets and explore the challenges of translating these new analyses into policy action and on-the-ground conservation of mangrove forests. They describe a new platform for visualizing and disseminating these datasets to the global science community and other audiences - and they highlight future directions and collaborations.
24 pages., Open access and online via ScienceDirect., The suggested model involves interactions and integration among knowledge (K), social practices (P), and values (V). Authors contemplated bottom-up relationships among scientists, environmental managers, science journalists, and other citizens operating within a context of top-down institutional constraints. They emphasized values and social practices, as well as knowledge, in addressing institutional change.
2 pages., In a preview of this issue about "messy data in conservation," the author links messy data to related topics in conservation and urges a trans-disciplinary embrace of messiness to accelerate conservation progress.
