Comparing multi - criteria evaluation and participatory mapping to projecting land use

Projections pertaining to future land use and land use change may have diverse backgrounds. Often, both local and scientific knowledge encompass important pieces of information for such a projection. Acknowledging the diversity across the two types of knowledge, we investigated their differences and similarities in a twofold case study, conducting a participatory mapping (PM) exercise with local wine growers, as well as a Multi Criteria Evaluation (MCE) with non-local experts from science, government and industry. Hence, we not only utilised two different knowledge elicitation methods, but also two types of ‘knowledges’. Within a region dominated by vineyards, and with expected land use change, we compared the two results quantitatively, in a participatory evaluation workshop, and with annotations gained through the participatory mapping exercise. Both methods have their merits, with the results from the participatory mapping perceived as being more plausible, and the MCE scoring higher in terms of spatial resolution. Whilst the participatory mapping yields more and better contextualised information, the results from the MCE can be better compared across study areas.

[1]  Greg G. Brown,et al.  An evaluation of the use of points versus polygons in public participation geographic information systems using quasi-experimental design and Monte Carlo simulation , 2012, Int. J. Geogr. Inf. Sci..

[2]  C. Potvin,et al.  Engaging Stakeholders: Assessing Accuracy of Participatory Mapping of Land Cover in Panama , 2015 .

[3]  Xuan Zhu,et al.  Spatial Differentiation of Landscape Values in the Murray River Region of Victoria, Australia , 2010, Environmental management.

[4]  Benjamin Rohrbach.  Assessing participatory mapping and multi criteria evaluation for land use change analysis , 2016 .

[5]  S. Aswani,et al.  Indigenous People's Detection of Rapid Ecological Change , 2014, Conservation biology : the journal of the Society for Conservation Biology.

[6]  Thomas Blaschke,et al.  A GIS-based extended fuzzy multi-criteria evaluation for landslide susceptibility mapping , 2014, Comput. Geosci..

[7]  Moses M. Tenywa,et al.  Contrasting approaches to integrating indigenous knowledge about soils and scientific soil survey in East Africa and Bangladesh , 2003 .

[8]  Stephen J. Carver,et al.  Integrating multi-criteria evaluation with geographical information systems , 1991, Int. J. Geogr. Inf. Sci..

[9]  Patrick Laube,et al.  The effects of sample size on data quality in participatory mapping of past land use , 2016 .

[10]  A. Getis.  The Analysis of Spatial Association by Use of Distance Statistics , 2010 .

[11]  Shankar Aswani,et al.  Integrating indigenous ecological knowledge and multi-spectral image classification for marine habitat mapping in Oceania , 2008 .

[12]  Christina Goulding,et al.  Grounded theory , 2015 .

[13]  Thomas L. Saaty,et al.  Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World , 1982 .

[14]  Jason Corburn,et al.  Bringing Local Knowledge into Environmental Decision Making , 2003 .

[15]  H. Gerós,et al.  Vacuole-mitochondrial cross-talk during apoptosis in yeast: a model for understanding lysosome-mitochondria-mediated apoptosis in mammals. , 2011, Biochemical Society transactions.

[16]  Greg Brown,et al.  An empirical evaluation of the spatial accuracy of public participation GIS (PPGIS) data , 2012 .

[17]  Jeffrey S. Torguson,et al.  Cartography , 2019, Dictionary of Geotourism.

[18]  C. Fabricius,et al.  Expert and Generalist Local Knowledge about Land-cover Change on South Africa's Wild Coast: Can Local Ecological Knowledge Add Value to Science? , 2007 .

[19]  Brendan A. Wintle,et al.  Integrating Biological and Social Values When Prioritizing Places for Biodiversity Conservation , 2014, Conservation biology : the journal of the Society for Conservation Biology.

[20]  Greg Brown,et al.  Methods and participatory approaches for identifying social-ecological hotspots , 2015 .

[21]  Jyrki Kangas,et al.  Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modelling , 2001 .

[22]  Thomas H. Davenport,et al.  Book review:Working knowledge: How organizations manage what they know. Thomas H. Davenport and Laurence Prusak. Harvard Business School Press, 1998. $29.95US. ISBN 0‐87584‐655‐6 , 1998 .

[23]  Bernhard Freyer,et al.  Co-production of knowledge in transdisciplinary doctoral theses on landscape development—An analysis of actor roles and knowledge types in different research phases , 2012 .

[24]  A. Agrawal.  Dismantling the Divide Between Indigenous and Scientific Knowledge , 1995 .

[25]  B. Dewalt.  Using indigenous knowledge to improve agriculture and natural resource management , 1994 .

[26]  Eric Koomen,et al.  Comparing the input, output, and validation maps for several models of land change , 2008 .

[27]  Sarah C. Klain,et al.  Navigating Coastal Values: Participatory Mapping of Ecosystem Services for Spatial Planning , 2012 .

[28]  Sarah E. Gergel,et al.  Mapping for Coral Reef Conservation: Comparing the Value of Participatory and Remote Sensing Approaches , 2016 .

[29]  Greg Brown,et al.  Is PPGIS good enough? An empirical evaluation of the quality of PPGIS crowd-sourced spatial data for conservation planning , 2015 .

[30]  Terry L Sohl,et al.  Clarity versus complexity: land-use modeling as a practical tool for decision-makers. , 2013, Journal of environmental management.

[31]  Jacek Malczewski,et al.  GIS‐based multicriteria decision analysis: a survey of the literature , 2006, Int. J. Geogr. Inf. Sci..

[32]  Theodor J. Stewart,et al.  Multiple Criteria Decision Analysis , 2001 .

[33]  Jacek Malczewski,et al.  GIS and Multicriteria Decision Analysis , 1999 .

[34]  Michael F. Worboys,et al.  GIS : a computing perspective , 2004 .

[35]  Theodor J. Stewart,et al.  Multiple criteria decision analysis - an integrated approach , 2001 .

[36]  Paul H Lee,et al.  An R package for analyzing and modeling ranking data , 2013, BMC Medical Research Methodology.

[37]  Ioan Fazey,et al.  Integrating local and scientific knowledge for environmental management. , 2010, Journal of environmental management.

[38]  Rafael Crecente-Maseda,et al.  Exploring farmer's knowledge as a source of information on past and present cultural landscapes A case study from NW Spain , 2006 .

[39]  Terry A. Slocum.  Thematic Cartography and Visualization , 1998 .

[40]  F. Berkes,et al.  Combining Science and Traditional Ecological Knowledge: Monitoring Populations for Co-Management , 2004 .

[41]  R. Hämäläinen,et al.  On the measurement of preferences in the analytic hierarchy process , 1997 .

[42]  Carl Folke,et al.  Traditional Ecological Knowledge, Biodiversity, Resilience and Sustainability , 1995 .

[43]  Robert Gilmore Pontius,et al.  Useful techniques of validation for spatially explicit land-change models , 2004 .