Knowledge management for land degradation monitoring and assessment: An analysis of contemporary thinking

Reed, M. S. and Fazey, I. and Stringer, L. C. and Raymond, C. M. and Akhtar-Schuster, M. and Begni, G. and Bigas, H. and Brehm, S. and Briggs, J. and Bryce, R. and Buckmaster, S. and Chanda, R. and Davies, J. and Diez, E. and Essahli, W. and Evely, A. and Geeson, N. and Hartmann, I. and Holden, J. and Hubacek, K. and Ioris, A. A. R. and Kruger, B. and Laureano, P. and Phillipson, J. and Prell, C. and Quinn, C. H. and Reeves, A. D. and Seely, M. and Thomas, R. and van der Werff ten Bosch, M.J. and Vergunst, P. and Wagner, L. (2013) Knowledge management for land degradation monitoring and assessment: An analysis of contemporary thinking. Land Degradation & Development, 24 (4). pp. 307-322. ISSN 10853278

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Abstract

It is increasingly recognised that land degradation monitoring and assessment can benefit from incorporating multiple sources of knowledge, using a variety of methods at different scales, including the perspectives of researchers, land managers and other stakeholders. However, the knowledge and methods required to achieve this are often dispersed across individuals and organisations at different levels and locations. Appropriate knowledge management mechanisms are therefore required to more efficiently harness these different sources of knowledge and facilitate their broader dissemination and application. This paper examines what knowledge is, how it is generated and explores how it may be stored, transferred and exchanged between knowledge producers and users before it is applied to monitor and assess land degradation at the local scale. It suggests that knowledge management can also benefit from the development of mechanisms that promote changes in understanding and efficient means of accessing and/or brokering knowledge. Broadly, these processes for knowledge management can (i) help identify and share good practices and build capacity for land degradation monitoring at different scales and in different contexts and (ii) create knowledge networks to share lessons learned and monitoring data among and between different stakeholders, scales and locations.

Item Type: Article
Identification Number: https://doi.org/10.1002/ldr.1124
Date: 2013
Subjects: K900 Others in Architecture, Building and Planning
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > Resilient Environments
REF UoA Output Collections > REF2021 UoA13: Architecture, Built Environment and Planning
Depositing User: Users 18 not found.
Date Deposited: 03 Nov 2016 14:18
Last Modified: 29 Sep 2020 13:50
URI: http://www.open-access.bcu.ac.uk/id/eprint/3318

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