Chandrashekhar Biradar, PhD Principal Scientist (Agro-Ecosystems) Head-Geoinformatics Unit 30 March 2017 Bangkok, Thailand

Transcription

1 Chandrashekhar Biradar, PhD Principal Scientist (Agro-Ecosystems) Head-Geoinformatics Unit 30 March 2017 Bangkok, Thailand

2 People Drylands increased Ensuring Food Security Gender Address social inequities, greater roles and priorities Geospatial commons, KM sharing, stakeholder feedback Role of Geospatial Science, Technology and Applications (GeSTA) in Dryland Systems Specific mutual-interaction & synergies between plant and animal species and management practices Safeguarding Environmental Flows and ESs Cooperative Research and Partnerships 41% Earth s land area Measuring the impact at spatial scales, rate, magnitude, synergy among the systems, CRPs, cross-regional synthesis Farmers, stakeholders, policymakers, mobilization, & marketing Integrated agroecosystems: innovative approaches and methods for sustainable agriculture, while safeguarding the environment Efficiency Productivity Red. Vul. A/Ss TAs Sus. Int. A/Ss TAs Assessing the impact of outcomes in Action Sites, post-project implementation, & M&E Youth Engaging and empowering young gen. by creating opportunities Context Integrated Production Systems for Improving Food Security and Livelihoods in Dry Areas Nutrition Changing diet patterns, nutrition and health Remote sensing 156missions in orbit Sensors potential in CRPs/IRPs, etc. >12 Mapping present, Emerging, future land use /land cover dynamics, land degradation and desertification, changing demographics, climate change adaptation and impacts Location specific and ecological intensification >6 are free Agricultural Intensification Quantification of dryland agricultural production and livelihood systems Current status, trends, extent, characteristics of crops, pattern, productivity, water use, livestock, biodiversity, soils, & climate Food production 72% potential sources Cropping Intensity 21% 7% Increase in Arable Land Delineation of potential, suitable areas for sustainable intensification, diversification of production systems Improved Livelihoods geoagro.icarda.org 5Location specific interventions. 1) Ecological intensification, 2) Crop diversification, 3) Input use efficiency, 4) Reduced land degradation, and 5) Characterization of vulnerable areas for increasing resilience and assist in identifying mitigation pathways with biophysical, socioeconomic and stakeholder feedback as well as specific needs & constraints Mapping the extent of existing & traditional practices, indigenous knowledge, diversity, potential areas for modern & improved, productive, profitable, and diversified dryland agriculture, & linkages to markets 2.5b Live in Drylands Livestock Depend on 1.5b Drylands Biodiversity Spatial enrichment and its role in food security, risk mitigation, & sustainability Assessment of present, emerging & future droughts, floods, pests & diseases, extreme events, infrastructure, migration

3 Across the scales Scaling Trade-on/offs Farmscapes to Landscapes 3

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5 Sustainable Agro-Ecosystems Increased land, water and system productivity while safe guarding the environmental flows and ecosystem services - more crop per drop -water focus - in a inch of land and a bunch of crop Knowledge based prioritization (space & time) for building better strategy for food and nutritional security and resilience Ecological Intensification Input Use Efficiency Bridging Yield Gaps and nutritional gaps Carbon Sequestration NUS as web of food, life and health 5 -multi dimensions -integrated systems - food and environmental security - resilience and risk reduction - adaption and mitigation - citizen science and collective actions - trade, social security and stability

6 6 Nutshell of NUS, Nutrition and Sustainability

7 Landsat AWS Digital Agriculture Platform Image Based, Open Source Precision Decision at Farm scales RF ML NN AI On the fly demand driven query and cluster analysis Crowdsource, OA, Cloud Computing at Farm Scale Cadastral, Object & Pixel based Biophysical and socio-ecological Machine Learning Crop types, crop intensity, pattern, fallows, crop stress, AET-l8, soil moisture- SMAP Precision decision delivery at farm scales and feedback Citizen-Science Cellphone feedback Farming Stakeholders Direct Access and Markets/Trade 7 Citizen Science Community of Practices Precision-Decision Right Time Right Place

8 Dynamics of Cropping Intensity and Pattern Integrated Agro-Ecosystems Sustainable Intensification and Diversification Input Use Efficiency-Ecological Intensification Thematic Land-Water-Climate Resilience Hotspots of intensification Crop diversification NUS crops in major staple crops Agricultural Intensification 21% 72% 7% Cropping Intensity Increase in Arable Land #/km2 Biradar and Xiao, 2009

9 Biological Diversity: Diversity of Crops

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11 Agricultural Intensification & Crop Diversification Mapping Crop and variety specific target areas and implementation strategy March December 11

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15 Agricultural Intensification & Crop Diversification Suitable Areas for intensification of Lentils in ricefallow areas Length of the crop fallows, start-date, end-date 15

16 Way Forward Mapping of Crop-related Neglected and Underutilized Species (NUS) Use of high resolution EOS images Data fusion and crop phenology Ecological and species association for mapping eco-zones (hotspots) of the NUS Geotagging and community (citizen science) based approach for mapping of the NUS growing regions Mapping potential areas for infusion of the NUS crops in major staple crops

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