[Day 2] Center Presentation: CIP
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[Day 2] Center Presentation: CIP

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Presented by Lieven Claessens at the CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya

Presented by Lieven Claessens at the CGIAR-CSI Annual Meeting 2009: Mapping Our Future. March 31 - April 4, 2009, ILRI Campus, Nairobi, Kenya

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[Day 2] Center Presentation: CIP [Day 2] Center Presentation: CIP Presentation Transcript

  • Spatial Analysis @ The International Potato Center (CIP) CSI 2009 Lieven Claessens Roberto Quiroz, Reinhard Simon, Ian Barker, Adolfo Posadas, Percy Zorogastua
  • Geographical Presence South, West and Central Asia - New Delhi, India - Tashkent, Uzbekistan Latin America & Caribbean East and Southeast - Lima, Peru (HQ) Asia & Pacific: - Quito, Ecuador - Lembang-Bandung, - La Paz, Bolivia Indonesia - Beijing, China - Hanoi, Vietnam Sub-Saharan Africa: - Nairobi, Kenya - Kampala, Uganda - Maputo, Mozambique - Lilongwe, Malawi - Huambo, Angola
  • Research Structure
  • Spatial Data and Analysis @ CIP:  Data Management / Sharing • Genebank data management • (Sweet) Potato Atlas: - Geography / Potential production zones • Contributions to Geonetwork: - Spatial data on (sweet) potato - Climate surfaces • DIVA-GIS…  Modeling and GIS • System Analysis (‘Tradeoff Analysis’) • Digital Soil Mapping • Environmental Vulnerability Assessment • Climate Change applications • Pest and Disease modeling  Remote Sensing • Disease detection • Cropping areas / crop statistics
  • Data Management / Sharing • Genebank data management: - Linkage of in-situ & ex-situ genebank management (potato parque Cuzco) - ‘Participatory’ GIS
  • Modeling and GIS • Ag. System Analysis (Tradeoffs production ~ env.): - Modeling scenarios of technology and policy interventions - Tradeoff Analysis framework: coupled bio-physical and econometric models - Spatially explicit (depending on research question)  Effects of market prices on soil nutrient depletion  Ex ante impact assessment of introducing improved varieties in CC context  Effects of adapting ICM practices on soil fertility/health  Land use change / intensification scenarios  Effects of water harvesting (e.g. terracing) on yields and poverty www.tradeoffs.nl
  • Modeling and GIS • Environmental Vulnerability Assessment: - Modeling scenarios of agricultural intensification  Land Degradation (e.g. landslides, water erosion)  Nutrient depletion  Pesticide leaching
  • Modeling and GIS • Potential soil erosion in Africa (ILRI): - Secondary data: climate, soils, topography, landcover, hydrology - (R)USLE + attempts on using physically based model (LAPSUS)
  • Modeling and GIS • Climate Change applications: - Drought mapping based on RS (time series of NDVI) Drought Probability Index Drought Probability Index ‘Normal’ El Niño Max NDVI Min NDVI Current NDVI PCC Drought Map
  • Modeling and GIS • Climate Change applications: - Ex ante assessment of adaptation technologies/policies (e.g. introduction of drought-, heat-, disease - tolerant or short duration varieties,…) - Collaboration with Max Planck Institute for Metereology on regional climate modeling - Wavelet tools for rainfall mapping (climate extremes) Vulnerability to Climate extremes: Wavelet tools for rainfall mapping (ppm) HUANCANE 50 40 m.m. 30 20 10 0 1-Jan-99 20-Jul-99 5-Feb-00 23-Aug-00 11-Mar-01 27-Sep-01 15-Apr-02 1-Nov-02 Días
  • Modeling and GIS • Pest and Disease modeling: - Linking pest and disease modeling with spatial predictions of environmental conditions (e.g. Potato Tuber Moth lifecycle & Late Blight modeling linked to Climate Change) B A
  • Modeling and GIS • Pest and Disease modeling: - Risk mapping of Potato yellow vein virus
  • Remote Sensing • Disease Detection: - Low cost air-borne platforms for high resolution RS - Spectral signatures of disease symptoms - Early warning applications (e.g. potato yellow vein virus transmitted by whiteflies)
  • NDVI 0-0.1 0.1-0.2 0.2-0.3 0.3-0.4 0.4-0.5 0.5-0.6 Fresh yield (t/ha) <16 >24 60 60 50 50 Fresh yield (t/ha) Fresh yield (t/ha) 40 40 30 30 20 20 10 10 0 0 1 2 3 4 5 6 7 8 9 10 11 12 1 23 4 56 7 8 9 10 11 12 Plot Plot Normal irrigation Deficit irrigation Terminal drought
  • Remote Sensing • Crop statistics / areas: - High resolution satellite imagery (SPOT, 10 and 5 m) - Digital processing to discriminate small sweet potato fields from others - Results indicate only 63% of crop area in national statistics - Seeking collaboration for commodity atlasses! ORANGE FIELDS = SP
  • THANK YOU