Download PDF - COINAtlantic

More documents

Recommendations

Info

11 th International Symposium for GIS and Computer Cartography for Coastal Zones Managementmodel, three different proposals were put forward. All participants asked the research team for a second workshop todiscuss the results of simulations based on the three scenarios in addition to one workshop tailored for decisionmakers involved in ICZM and another tailored for fishers. The final assessment of our research by the stakeholdersreveals that they: 1) have got better understanding of how all maritime activities occupy the bay in terms of spaceand time (based on daytime) and what kind of interactions among them may occur, 2) appreciated the workshoporganized by the research team to support discussion among stakeholders in a “neutral arena”, 3) think that this typeof session could modify the collective perception of the ICZM stakes.DiscussionContribution to a planning processThis framework produces a sound base for some aspects of the Natura 2000 procedure, which was launched in2012 in the Bay of Brest. France is one of the European countries that conduct decentralized and contractualapproaches for all these activities in Natura 2000 areas (Buller, 2004; McCauley, 2008). The target document iscreated on the basis of a consultation procedure. A steering committee is set up under the responsibility of a localnon governmental organization or a local administration (Armorique Natural Park in the Bay of Brest). In order tocontribute to this process, GIS data produced by our research have been transferred to the Armorique Natural Parkand also to the Pays de Brest that manages the ICZM process.A way to integrate some parts of local knowledgeOur approach also contributes to integrate local knowledge into ongoing management processes. Integrating thatkind of knowledge aroused more and more interest of both researchers and managers in the context of natural sitesmanagement, because it is complementary and valuable. Furthermore, this volunteered geographic informationdescribed by key informants constitutes the only solution to get data concerning their activities. To get peopleinvolved in gathering relevant data is one of the challenges for citizen science (Irwin, 1995; Goodchild, 2007).Potential for participationWithin the framework of integrated and participative management, the model-based approach encouragesknowledge sharing (Barreteau and Le Page, 2011; Gourmelon et al., 2013). But participation requires an access toknowledge, and its appropriation by all stakeholders must be ensured. The model we developed on the basis ofmultiple data on maritime activities in the Bay of Brest promotes the acceptance of the diverse knowledge andperceptions by stakeholders with uneven skills. The spatial dimension introduced by maps stimulates the exchangebetween researchers and stakeholders. The dynamic component of the GIS appears to be of prime importance. Ityields novel information about spatio-temporal interactions, which allows the stakeholders to qualify the activitiesfrom the point of view of intersection occurrences. Evolution of activity zones and the locations of low or highdensities of possible conflicts are put in evidence. Nevertheless, even though computer simulations are attractive forthe stakeholders, building relevant collective scenarios still requires more time and several more sessions (Becu etal., 2008).The stakesThe use of such methods based on computer models and simulations, raises questions about theirinstrumentalization in public policy (Becu et al., 2008; Gourmelon et al., 2012) and the emergence of a sociotechnicaldemocracy (Steyaert et al., 2007). We also agree with Arciniegas et al. (2013) that the amount ofknowledge, the volume and the format of information, as well as the complexity and duration of the processconstitute a critical issue. The temporal component of the information we added looks more valuable for planningthan considering only the spatial component. We also agree with Eikelboom and Janssen (2012) on the necessity totailor the spatial tools for a specific context. Definitively, both a GIS-based approach and computer simulationspromote stakeholder involvement and encourages knowledge exchange and acceptance of scientific products, aslong as they are tailored to meet their specific needs.AcknowledgementsThis project was funded by the LITEAUIII program (French Ministry of Ecology) and the Bretagne Region. Wethank all local stakeholders and practitioners for their willingness to share their knowledge.94
References11 th International Symposium for GIS and Computer Cartography for Coastal Zones ManagementAlexander, K.A., R. Janssen, G. Arciniegas, T.G. O’Higgins, T. Eikelboom, and T.A. Wilding (2012), “Interactive marine spatialplanning: siting tidal energy arrays around the Mull of Kintyre”. PLoS ONE, 7(1): doi:10.1371/journal.pone.0030031.Arciniegas, G., R. Janssen, and P. Rietveld (2013), “Effectiveness of collaborative map-based decision support tools: Results ofan experiment”. Environmental Modelling & Software, 39(2013):159–175.Barreteau, O. and C. Le Page (2011), “Using social simulation to explore the dynamics at stake in participatory research”.Journal of Artificial Societies and Social Simulation, 14(4): http://jasss.soc.surrey.ac.uk/14/4/12.html.Becu, N., A. Neef, P. Schreinemachers, and C. Sangkapitux (2008), “Participatory computer simulation to support collectivedecision-making: Potential and limits of stakeholder involvement”. Land Use Policy, 25(2008):498–509.Brown, M.E. (2006), “Assessing natural resource management challenges in Senegal using data from participatory ruralappraisals and remote sensing”. World Development, 34:751–767.Buller, H (2004), “The « espace productif », the « théâtre de la nature » and the « territoires de développement local »: theopposing rationales of contemporary French rural development policy”. International Planning Studies, 9 (2-3):101–119.Eikelboom, T. and R. Janssen (2013), “Interactive spatial tools for the design of regional adaptation strategies”. Journal ofEnvironmental Management, in press.Goodchild, M.F. (2007), “Citizens as voluntary sensors: Spatial data infrastructure in the world of Web 2.0”. InternationalJournal of Spatial Data Infrastructures Research, 2:24–32.Gourmelon, F., F. Chlous-Ducharme, M. Rouan, C. Kerbiriou, and F. Bioret (2013), “Role-playing game developed from amodelling process: a relevant participatory tool for sustainable development? A co-construction experiment in an insularbiosphere reserve”. Land Use Policy, 32 (2013):96–107.Hessel, R., J. van den Berg, O. Kaboré, A. van Kekem, S. Verdandvoort, J.M. Dipama, and B. Diallo (2009), “Linkingparticipatory and GIS-based land use planning methods: A case study from Burkina Faso”. Land Use Policy, 26:1162–1172.Irwing, A. (1995), Citizen science: A study of people, expertise and sustainable development, Routledge, Oxford, UnitedKingdom, 202p.Jude, S.R. (2008), “Investing the potential role of visualization techniques in participatory coastal management”. CoastalManagement, 36(4):331–349.Jude, S.R., A.P. Jones, A.R. Watkinson, I. Brown, and J.A. Gill (2007), “The development of a visualization methodology forintegrated coastal management”. Coastal Management, 35:525–544.Le Guyader, D. (2012), Modélisation des activités humaines en mer côtière. PhD thesis, Université de Bretagne Occidentale,France, 308p.McCauley, D. (2008), “Sustainable development and the “governance challenge”: The French experience with Natura 2000”.European Environment, 18:152-167.Opdam, P. (2010), “Learning science from practice”. Landscape Ecology, 35:821–823.Rockloff, S. and S. Lockie (2004), “Participatory tools for coastal zone management: Use of stakeholder analysis and socialmapping in Australia”. Journal of Coastal Conservation, 10:81–92.Rubin, A. and E.R. Babbie (2005), Research methods for social work, Brooks/Cole, Belmont, USA, 789p.Smith, G. and R.E. Brennan (2012), “Losing our way with mapping: Thinking critically about marine spatial planning inScotland”. Ocean & Coastal management, 69 (2012):210-216.Stelzenmüller, V., J. Lee, A. South, J. Foden, and S.I. Rogers (2013), “Practical tools to support marine spatial planning: A reviewand some prototype tools”. Marine Policy, 38(2013):214–227.Steyaert, P., M. Barzman, J.P. Billaud, H. Brives, B. Hubert, G. Ollivier, and B. Roche (2007), “The role of knowledge andresearch in facilitating social learning among stakeholders in natural resources management in the French Atlantic coastalwetlands”. Environmental Science & Policy, 10:537–550.Tremblay, M.-A. (1957), “The key informant technique: A non-ethnographic application”. American Anthropologist, 59:688–701.95
Page 1 and 2:
CoastGIS Conference 2013: Monitorin
Page 3 and 4:
Sponsors
Page 5 and 6:
Steering Committee Secretariat main
Page 7 and 8:
Santos Basin, BrazilA.F. Romero, R.
Page 9 and 10:
Coastline development and associate
Page 11 and 12:
Visual resource management system f
Page 13 and 14:
11 th International Symposium for G
Page 15 and 16:
Use of Terrestrial-LiDAR for quanti
Page 17 and 18:
Page 19 and 20:
Page 21 and 22:
Page 23 and 24:
Page 25 and 26:
Community beach monitoring: utilisi
Page 27 and 28:
Page 29 and 30:
Data policy implications arising fr
Page 31 and 32:
Page 33 and 34:
Global ocean observing system for w
Page 35 and 36:
Page 38 and 39:
Page 40 and 41:
Page 42 and 43:
Page 44 and 45:
Page 46 and 47:
ResultsMetadata11 th International
Page 48 and 49:
Page 50 and 51:
Page 52 and 53:
Coastal vulnerability index to glob
Page 54 and 55: 11 th International Symposium for G
Page 56 and 57: generating probabilities contours f
Page 58 and 59: maps, the most critical conditions
Page 68 and 69: Statistical and spatial toolbox for
Page 72 and 73: Global oceans and marine planning
Page 74 and 75: Analysis11 th International Symposi
Page 76 and 77: Building scenarios and visualizatio
Page 80 and 81: Using a 3D physics-based visualizat
Page 84 and 85: Documenting situated tsunami risk p
Page 92 and 93: SeaSketch11 th International Sympos
Page 94 and 95: A structured model to enable coasta
Page 98 and 99: Developing and testing approaches f
Page 102 and 103: A dynamic GIS as an efficient tool
Page 106 and 107: GIS spatio-temporal modeling of hum
Page 108 and 109: ResultsCollected data11 th Internat
Page 110 and 111: The use of GIS and geospatial techn
Page 114 and 115: Ocean Radar for Monitoring of the C
Page 118 and 119: Geophysical investigations of marin
Page 122 and 123: A semi-supervised learning framewor
Page 126 and 127: Simulation of maritime paths taking
Page 130 and 131: COINAtlantic: Sharing through open
Page 134 and 135: Implementation of the marine data i
Page 136 and 137: Perspectives11 th International Sym
Page 148 and 149: References11 th International Sympo
Page 154 and 155:
Page 156 and 157:
Conclusion11 th International Sympo
Page 158 and 159:
Page 160 and 161:
Page 162 and 163:
Page 164 and 165:
Page 166 and 167:
Page 168 and 169:
Page 170 and 171:
Tools and best practices for coasta
Page 172 and 173:
Page 174 and 175:
Page 176 and 177:
Page 178 and 179:
Washington Coastal Atlas: creating
Page 180 and 181:
Page 182 and 183:
The African Coastal and Marine Atla
Page 184 and 185:
Page 186 and 187:
Page 188 and 189:
Page 190 and 191:
Page 192 and 193:
Page 194 and 195:
Page 196 and 197:
Page 198 and 199:
Methods11 th International Symposiu
Page 200 and 201:
Page 202 and 203:
Methods11 th International Symposiu
Page 204 and 205:
Page 206 and 207:
Page 208 and 209:
Acknowledgments11 th International
Page 210 and 211:
Page 212 and 213:
Page 214 and 215:
Page 216 and 217:
Long-term continuous observations o
Page 218 and 219:
Page 220 and 221:
Comparing endmember extraction meth
Page 222 and 223:
Page 224 and 225:
Integration of scientific data as a
Page 226 and 227:
Page 228 and 229:
Page 230:
Conclusions11 th International Symp
show all

Download PDF - COINAtlantic

Create successful ePaper yourself

Delete template?

Save as template?