“Listening to the Sounds of the Water”: Bringing Together Local Knowledge and Biophysical Data to Understand Climate-Related Hazard Dynamics

Natasha Pauli , Mark Williams , Savuti Henningsen , Kevin Davies , Chanchhaya Chhom , Floris van Ogtrop , Sochanny Hak , Bryan Boruff , Andreas Neef

International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (3) : 326 -340.

PDF
International Journal of Disaster Risk Science ›› 2021, Vol. 12 ›› Issue (3) : 326 -340. DOI: 10.1007/s13753-021-00336-8
Article

“Listening to the Sounds of the Water”: Bringing Together Local Knowledge and Biophysical Data to Understand Climate-Related Hazard Dynamics

Author information +
History +
PDF

Abstract

Integrating local knowledge and scientific information can aid in co-developing locally relevant approaches for climate change adaptation and disaster risk reduction. Communities along the Mekong River have adapted to variability in temperature, rainfall, and flooding patterns over time. Rapid environmental change in the Mekong Basin presents a new set of challenges related to drought, altered seasonal rainfall, more frequent high-flow flood events, and water withdrawals for hydropower and irrigation. We present a multi-method approach to understand how local knowledge of the spatial and temporal patterns of floods, droughts, and rainfall can be integrated with scientific information along a flood-prone section of the lower Mekong River in Kratie Province, Cambodia. Participatory hazard mapping of community members’ knowledge of the movement of floodwaters through the landscape enabled interpretation of flood extent mapping using Synthetic Aperture Radar images from the Sentinel-1A satellite. Seasonal calendars of weather patterns and livelihood activities, together with local indicators of flooding, rainfall, and drought were compared with trends in 35 years of rainfall data, and highlighted “pressure points” at the beginning and end of the rainy season where agriculture may be particularly impacted by climate change. We discuss potential applications of our findings for adaptation and hazard planning.

Keywords

Cambodia / Local knowledge / Mekong River / Natural hazards / Participatory mapping / Remote sensing

Cite this article

Download citation ▾
Natasha Pauli, Mark Williams, Savuti Henningsen, Kevin Davies, Chanchhaya Chhom, Floris van Ogtrop, Sochanny Hak, Bryan Boruff, Andreas Neef. “Listening to the Sounds of the Water”: Bringing Together Local Knowledge and Biophysical Data to Understand Climate-Related Hazard Dynamics. International Journal of Disaster Risk Science, 2021, 12(3): 326-340 DOI:10.1007/s13753-021-00336-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Acharya A, Prakash A. When the river talks to its people: Local knowledge-based flood forecasting in Gandak River basin, India. Environmental Development, 2019, 31: 55-67

[2]

Agrawal A. Dismantling the divide between indigenous and scientific knowledge. Development and Change, 1995, 26(3): 413-439

[3]

Alessa L, Kliskey A, Gamble J, Fidel M, Beaujean G, Gosz J. The role of Indigenous science and local knowledge in integrated observing systems: Moving toward adaptive capacity indices and early warning systems. Sustainability Science, 2016, 11(1): 91-102

[4]

Bernard HR. Research methods in anthropology: Qualitative and quantitative approaches, 2017, Lanham, MD: Rowman & Littlefield

[5]

Besant, D. 2016. Cambodia faces severe and prolonged drought. Southeast Asia Globe, 23 March 2016. https://southeastasiaglobe.com/cambodia-drought-water-scarcity-mekong-river/. Accessed 17 May 2020.

[6]

Bohensky, E.L., and Y. Maru. 2011. Indigenous knowledge, science and resilience: What have we learned from a decade of international literature on “integration”? Ecology and Society 16(4): Article 6.

[7]

Ceccato L, Giannini V, Giupponi C. Participatory assessment of adaptation strategies to flood risk in the upper Brahmaputra and Danube river basins. Environmental Science and Policy, 2011, 14(8): 1163-1174

[8]

Clement MA, Kilsby CG, Moore P. Multi-temporal synthetic aperture radar flood mapping using change detection. Journal of Flood Risk Management, 2018, 11(2): 152-168

[9]

CRED and UNISDR (Centre for Research on the Epidemiology of Disasters and United Nations International Strategy for Disaster Reduction) The human cost of weather related disasters 1995–2015, 2015, Belgium and Geneva: CRED and UNISDR

[10]

Cubelos, C., A.H.T.S. Kularathna, V.P.B. Valenzuela, N. Iliopoulos, M. Quiroz, R. Yavar, P. Henriquez, G. Bacigalupe, et al. 2019. Understanding community-level flooding awareness in remote coastal towns in northern Chile through community mapping. Geosciences 9(7): Article 279.

[11]

Dekens J. Local knowledge for disaster preparedness: A literature review, 2007, Kathmandu, Nepal: International Centre for Integrated Mountain Development

[12]

Dube, E., and E. Munsaka. 2018. The contribution of indigenous knowledge to disaster risk reduction activities in Zimbabwe: A big call to practitioners. Jàmbá—Journal of Disaster Risk Studies 10(1): Article 493.

[13]

Ehlert, J. 2010. Living with flood: Local knowledge in the Mekong Delta, Vietnam. Ph.D. dissertation. Centre for Development Research, University of Bonn, Bonn, Germany.

[14]

FAO (Food and Agriculture Organisation). 2011. Mekong River Basin. Water report, vol. 37. Rome, Italy: AQUASTAT, Food and Agriculture Organisation of the United Nations.

[15]

Farr, T.G., P.A. Rosen, E. Caro, R. Crippen, R. Duren, S. Hensley, M. Kobrick, M. Paller, et al. 2007. The Shuttle Radar Topography Mission. Reviews of Geophysics 45(2): Article 2005RG000183.

[16]

Fazey I, Kesby M, Evely A, Latham I, Wagatora D, Hagasua J-E, Reed MS, Christie M. A three-tiered approach to participatory vulnerability assessment in the Solomon Islands. Global Environmental Change, 2010, 20(4): 713-728

[17]

Folke C, Hahn T, Olsson P, Norberg J. Adaptive governance of social-ecological systems. Annual Review of Environment and Resources, 2005, 30: 441-473

[18]

Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R. Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, 2017, 202: 18-27

[19]

Greifeneder F, Wagner W, Sabel D, Naeimi V. Suitability of SAR imagery for automatic flood mapping in the Lower Mekong Basin. International Journal of Remote Sensing, 2014, 35(8): 2857-2874

[20]

Gupta A, Liew SC. The Mekong from satellite imagery: A quick look at a large river. Geomorphology, 2007, 85(3–4): 259-274

[21]

Gustafson S, Cadena AJ, Ngo CC, Kawash A, Saenghkaew I, Hartman P. Merging science into community adaptation planning processes: A cross-site comparison of four distinct areas of the lower Mekong Basin. Climatic Change, 2018, 149(1): 91-106

[22]

Hawker, L., P. Bates, J. Neal, and J. Rougier. 2018. Perspectives on digital elevation model (DEM) simulation for flood modeling in the absence of a high-accuracy open access global DEM. Frontiers in Earth Science 6: Article 233.

[23]

Henningsen S, Pauli N, Chhom C. Neef A, Pauli N. Seasonal livelihoods and adaptation strategies for an uncertain environmental future: Results from participatory research in Kratie, Cambodia. Climate-induced disasters in the Asia-Pacific region: Response, recovery, adaptation, 2020, Bingley, UK: Emerald 135-165

[24]

Hill, R., C. Grant, M. George, C.J. Robinson, S. Jackson, and N. Abel. 2012. A typology of Indigenous engagement in Australian environmental management: Implications for knowledge integration and social-ecological system sustainability. Ecology and Society 17(1): Article 23.

[25]

Hillman M. Integrating knowledge: The key challenge for a new paradigm in river management. Geograhy Compass, 2009, 3(6): 1988-2010

[26]

Hiwasaki, L., E. Luna, Syamsidik, and R. Shaw. 2014. Process for integrating local and indigenous knowledge with science for hydro-meteorological disaster risk reduction and climate change adaptation in coastal and small island communities. International Journal of Disaster Risk Reduction 10 (Part A): 15–27.

[27]

Hoang LP, Lauri H, Kummu M, Koponen J, van Vliet MTH, Supit I, Leemans R, Kabat P, Ludwig F. Mekong River flow and hydrological extremes under climate change. Hydrology and Earth System Science, 2016, 20(7): 3027-3041

[28]

IFAD (International Fund for Agricultural Development) Good practices in participatory mapping: A review prepared for the International Fund for Agricultural Development, 2009, Rome: IFAD

[29]

Johnston RM, Kummu M. Water resource models in the Mekong Basin: A review. Water Resources Management, 2012, 26(2): 429-455

[30]

Kniveton D, Visman E, Tall A, Diop M, Ewbank R, Njoroge E, Pearson L. Dealing with uncertainty: Integrating local and scientific knowledge of the climate and weather. Disasters, 2014, 39(S1): S35-S53

[31]

Kottek M, Grieser J, Beck C, Bruno R, Franz R. World map of the Köppen-Geiger climate classification updated. Meteorologische Zeitschrift, 2006, 15(3): 259-263

[32]

Laborde S, Imberger J, Toussaint S. Contributions of local knowledge to the physical limnology of Lake Como, Italy. Proceedings of the National Academy of Sciences, 2012, 109(17): 6441-6445

[33]

Lee JS, Jurkevich L, Dewaele P, Wambacq P, Oosterlinck A. Speckle filtering of synthetic aperture radar images: A review. Remote Sensing Reviews, 1994, 8(4): 313-340

[34]

Liebmann, B., S.J. Camargo, A. Seth, J.A. Marengo, L.M.V. Carvalho, D. Allured, R. Fu, and C.S. Vera. 2007. Onset and end of the rainy season in South America in observations and the ECHAM 4.5 Atmospheric General Circulation Model. Journal of Climate 20(10): 2037–2050.

[35]

López-Marrero T, Tschakert P. From theory to practice: Building more resilient communities in flood-prone areas. Environment and Urbanization, 2011, 23(1): 229-249

[36]

Mainuddin M, Kirby M, Hoanh CT. Impact of climate change on rainfed rice and options for adaptation in the lower Mekong Basin. Natural Hazards, 2013, 66(2): 905-938

[37]

Makondo CC, Thomas DSG. Climate change adaptation: Linking indigenous knowledge with Western science for effective adaptation. Environmental Science & Policy, 2018, 88: 83-91

[38]

Mason-D’Croz D, Vervoort J, Palazzo A, Islam S, Lord S, Helfgott A, Havlík P, Peou R Multi-factor, multi-state, multi-model scenarios: Exploring food and climate futures for Southeast Asia. Environmental Modelling and Software, 2016, 83: 255-270

[39]

Meade RH. Milliman JD, Haq BU. River-sediment inputs to major deltas. Sea-level rise and coastal subsidence: Causes, consequences and strategies, 1996, Dordrecht, The Netherlands: Kluwer 63-85

[40]

Mekong River Commission State of the basin report 2018, 2019, Vientiane, Lao PDR: Mekong River Commission

[41]

Mekong River Commission. 2021a. Basin development strategy for the Mekong River Basin 2021−2030. https://www.mrcmekong.org/publications/function/basin-planning. Accessed 15 Mar 2021.

[42]

Mekong River Commission. 2021b. MRC Data and Information Services Portal. https://portal.mrcmekong.org/home. Accessed 15 Mar 2021.

[43]

Mendoza GA, Prabhu R. Combining participatory modelling and multi-criteria analysis for community-based forest management. Forest Ecology and Management, 2005, 207(1–2): 145-156

[44]

Mercer J, Dominey-Howes D, Kelman I, Lloyd K. The potential for combining indigenous and Western knowledge in reducing vulnerability to environmental hazards in small island developing states. Environmental Hazards, 2007, 7(4): 245-256

[45]

Mercer J, Kelman I, Taranis L, Suchet-Pearson S. Framework for integrating indigenous and scientific knowledge for disaster risk reduction. Disasters, 2010, 34(1): 214-239

[46]

Meshkova LV, Carling PA. The geomorphological characteristics of the Mekong River in northern Cambodia: A mixed bedrock-alluvial multi-channel network. Geomorphology, 2012, 147–148: 2-17

[47]

McCall MK, Dunn CE. Geo-information tools for participatory spatial planning: Fulfilling the criteria for “good” governance?. Geoforum, 2012, 43(1): 81-94

[48]

NOAA (National Oceanic and Atmospheric Administration). Stakeholder engagement strategies for participatory mapping, 2009, Charleston, USA: Office for Coastal Management

[49]

Notti, D., D. Giordan, F. Caló, A. Pepe, F. Zucca, and J. Galve. 2018. Potential and limitations of open satellite data for flood mapping. Remote Sensing 10(11): Article 1673.

[50]

Otsu N. A threshold selection method from gray-level histograms. IEEE Transactions on Systems, Man, and Cybernetics, 1979, 9(1): 62-66

[51]

Piman T, Lennaerts T, Southalack P. Assessment of hydrological changes in the lower Mekong Basin from basin-wide development scenarios. Hydrological Processes, 2013, 27(15): 2115-2125

[52]

Poulton PL, Dalgliesh NP, Vang S, Roth CH. Resilience of Cambodian lowland rice farming systems to future climate uncertainty. Field Crops Research, 2016, 198: 160-170

[53]

Räsänen TA, Lindgren V, Guillaume JHA, Buckley BM, Kummu M. On the spatial and temporal variability of ENSO precipitation and drought teleconnection in mainland Southeast Asia. Climate of the Past, 2016, 12(9): 1889-1905

[54]

Raymond CM, Fazey I, Reed MS, Stringer LC, Robinson GM, Evely AC. Integrating local and scientific knowledge for environmental management. Journal of Environmental Management, 2010, 91(8): 1766-1777

[55]

Reed MS, Dougill AJ, Taylor MJ. Integrating local and scientific knowledge for adaptation to land degradation: Kalahari rangeland management options. Land Degradation and Development, 2007, 18(3): 249-268

[56]

Reichel C, Frömming UU. Participatory mapping of local disaster risk reduction knowledge: An example from Switzerland. International Journal of Disaster Risk Science, 2014, 5(1): 41-54

[57]

Ruiz-Barradas A, Nigam S. Hydroclimate variability and change over the Mekong River basin: Modeling and predictability and policy implications. Journal of Hydrometeorology, 2018, 19(5): 849-869

[58]

Šakić Trogrlić, R., G.B. Wright, M.J. Duncan, M.J.C. van den Homberg, A.J. Adeloye, F.D. Mwale, and J. Mwafulirwa. 2019. Characterising local knowledge across the flood risk management cycle: A case study of Southern Malawi. Sustainability 11(6): Article 1681.

[59]

Saksena S, Merwade V. Incorporating the effect of DEM resolution and accuracy for improved flood inundation mapping. Journal of Hydrology, 2015, 530: 180-194

[60]

Scheuer S, Haase D, Meyer V. Towards a flood risk assessment ontology—Knowledge integration into a multi-criteria risk assessment approach. Computers, Environment and Urban Systems, 2013, 37(1): 82-94

[61]

Thongs G. Integrating risk perceptions into flood risk management: Trinidad case study. Natural Hazards, 2019, 98(2): 593-619

[62]

Tozier de la Poterie A, Baudoin MA. From Yokohama to Sendai: Approaches to participation in international disaster risk reduction frameworks. International Journal of Disaster Risk Science, 2015, 6(2): 128-139

[63]

Twele A, Cao W, Plank S, Martinis S. Sentinel-1-based flood mapping: A fully automated processing chain. International Journal of Remote Sensing, 2016, 37(13): 2990-3004

[64]

Vernooy R. Effective implementation of crop diversification strategies for Cambodia, Lao PDR and Vietnam: Insights from past experiences and ideas for new research, 2015, Rome: Bioversity International

[65]

Vogt N, Pinedo-Vasquez M, Brondízio ES, Rabelo F, Fernandes K, Almeida O, Riveiro S, Deadman PJ, Dou Y. Local ecological knowledge and incremental adaptation to changing flood patterns in the Amazon delta. Sustainability Science, 2016, 11: 611-623

[66]

Williams M, Pauli N, Boruff B. Neef A, Pauli N. Participatory GIS and community-based adaptation to climate change and environmental hazards: A Cambodian case study. Climate-induced disasters in the Asia-Pacific region: Response, recovery, adaptation, 2020, Bingley, UK: Emerald 113-134

[67]

Yamamauchi K. Climate change impacts on agriculture and irrigation in the lower Mekong Basin. Paddy and Water Environment, 2014, 12(S2): 227-240

AI Summary AI Mindmap
PDF

147

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/