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1 Lebel, L.; Hoanh, Chu Thai; Krittasudthacheewa, C.; Daniel, R. (Eds.) 2014. Climate risks, regional integration and sustainability in the Mekong region. Petaling Jaya, Malaysia: Strategic Information and Research Development Centre (SIRDC); Stockholm, Sweden: Stockholm Environment Institute (SEI). 405p.

Climate change ; Risks ; Sustainable development ; Ecosystem services ; Policy making ; Urbanization ; Living standards ; Rural areas ; Households ; Economic development ; Investment ; Poverty ; Energy consumption ; Carbon dioxide ; Greenhouse gases ; Emission ; International waters ; Fish industry ; Employment ; Stakeholders ; Food security ; Tourism ; Forest management ; Environmental services ; Costs ; Satellites ; Remote sensing ; GIS ; Flooding ; Farming ; Rice ; Sugar ; Farmers ; Case studies / Southeast Asia / Thailand / Cambodia / Lao People's Democratic Republic / Vietnam / Khon Kaen / Vang Vieng / Chiang Mai / Hue / Lam Dong / Mekong Region

(Location: IWMI HQ Call no: IWMI Record No: H046894)

http://www.sei-international.org/mediamanager/documents/Publications/sumernet_book_climate_risks_regional_integration_sustainability_mekong_region.pdf
https://vlibrary.iwmi.org/pdf/H046894.pdf

(1.87 MB) (1.87 MB)

2 Tran, T. V.; Bruce, D.; Huang, C.-Y.; Tran, D. X.; Myint, S. W.; Nguyen, D. B. 2023. Decadal assessment of agricultural drought in the context of land use land cover change using MODIS multivariate spectral index time-series data. GIScience and Remote Sensing, 60(1):2163070. [doi: https://doi.org/10.1080/15481603.2022.2163070]

Agriculture ; Drought ; Land use ; Land cover ; Moderate resolution imaging spectroradiometer ; Evapotranspiration ; Vegetation ; Multivariate analysis ; Soil moisture ; Dry season ; Meteorological stations ; Farmland / Vietnam / Kon Tum / Gia Lai / Dak Lak / Dak Nong / Lam Dong

(Location: IWMI HQ Call no: e-copy only Record No: H051546)

https://www.tandfonline.com/doi/epdf/10.1080/15481603.2022.2163070?needAccess=true&role=button
https://vlibrary.iwmi.org/pdf/H051546.pdf

(14.40 MB) (14.4 MB)

Using a multivariate drought index that incorporates important environmental variables and is suitable for a specific geographical region is essential to fully understanding the pattern and impacts of drought severity. This study applied feature scaling algorithms to MODIS time-series imagery to develop an integrated Multivariate Drought Index (iMDI). The iMDI incorporates the vegetation condition index (VCI), the temperature condition index (TCI), and the evaporative stress index (ESI). The 54,474 km2 Vietnamese Central Highlands region, which has been significantly affected by drought severity for several decades, was selected as a test site to assess the feasibility of the iMDI. Spearman correlation between the iMDI and other commonly used spectral drought indices (i.e. the Drought Severity Index (DSI–12) and the annual Vegetation Health Index (VHI–12)) and ground-based drought indices (i.e. the Standardized Precipitation Index (SPI–12) and the Reconnaissance Drought Index (RDI–12)) was employed to evaluate performance of the proposed drought index. Pixel-based linear regression together with clustering models of the iMDI time-series was applied to characterize the spatiotemporal pattern of drought from 2001 to 2020. In addition, a persistent area of LULC types (i.e. forests, croplands, and shrubland) during the 2001–2020 period was used to understand drought variation in relation to LULC. Results suggested that the iMDI outperformed the other spectral drought indices (r > 0.6; p < 0.005). The analysis revealed an increase in drought risk in some provinces of the Central Highlands including Gia Lai, Kon Tum, and Dak Lak. It was also found that changes in LULC patterns could minimize (reforestation) or exacerbate (deforestation) the impacts of drought. Our study suggests that applying a multivariate drought index enables a better understanding of drought patterns at the local scale. This provides valuable information for the development of appropriate land and environmental management practices that can affect and mitigate climate change effects.

3 Lan, L.; Mushtaq, S.; Wang, Q. (J.); Barlis, A.; Deniau, A.; Byrareddy, V. M.; Anh, H. T.; Swaans, K. 2024. Are Vietnamese coffee farmers willing to pay for weather index insurance?. International Journal of Disaster Risk Reduction, 100:104185. [doi: https://doi.org/10.1016/j.ijdrr.2023.104185]

Coffee ; Farmers ; Willingness to pay ; Weather index insurance ; Contingent valuation ; Climate change adaptation ; Risk ; Extreme weather events ; Crop insurance ; Developing countries ; Rainfall / Vietnam / Lam Dong / Dak Lak

(Location: IWMI HQ Call no: e-copy only Record No: H052449)

https://www.sciencedirect.com/science/article/pii/S2212420923006659/pdfft?md5=e25434daec9092837c94e431f542cc1f&pid=1-s2.0-S2212420923006659-main.pdf
https://vlibrary.iwmi.org/pdf/H052449.pdf

(1.19 MB) (1.19 MB)

Global coffee production experiences detrimental impacts of climate change. Weather index insurance (WII) offers an opportunity for coffee farmers to mitigate the climate risks in production and motivate them to adopt sustainable farming practices. This study explores Vietnamese farmers' willingness to participate and pay for WII schemes for coffee. A contingent valuation survey was employed on a sample of 151 farmers from the two largest coffee production areas: Lam Dong and Dak Lak provinces. The findings revealed that farmers are willing to pay, on average, US$92.30 per policy for a premium on insurance products. We also found that farmers in Lam Dong are willing to pay more than those in Dak Lak despite fewer Lam Dong farmers being willing to participate in the insurance schemes. The majority of farmers prefer drought to be insured within 3 months of coffee blossom, from February to April. Factors influencing farmers' decision to join the insurance schemes include education, farm size, climate change perception and experiences, and insurance knowledge. The study suggests that the current coffee industry co-contribution to insurance premiums could potentially be reduced by up to 90 %. However, caution must be taken when adjusting co-contribution, as farmers' willingness to pay is heterogeneous. In addition, raising awareness of the impact of climate change on crop production and insurance knowledge training is critical to ensure an increased number of participants in the schemes. The recommendations from this study will contribute to improving the design of coffee insurance products that are tailored to local needs and preferences and will assist in upscaling the products’ outreach in the Coffee Climate Protection Insurance Program.