Climate Change Adaptation Results in Bicol Region (Step 3, AMICAF Project) DEPARTMENT OF AGRICULTURE RFO-5

Transcription

1 Climate Change Adaptation Results in Bicol Region (Step 3, AMICAF Project) DEPARTMENT OF AGRICULTURE RFO-5

2 BICOLS Experience Paddy Rice Production in Bicol, Provides employment to 40.7% of the labor force and close to 40% of all families derive their income from the sector. The sector accounts for 70% of all commodity outflows of the region (food and live animals) Poverty incidence is high in rural and coastal areas where majority of livelihoods depend on agri/fishery Poverty Incidences of Families by Province, Bicol Region First Semesters of 2006, 2009 and 2012

3 TCP: DRR/CCA Mainstreaming Framework (AG) Existing Extension Approaches DA) Local Government Units Department of Agriculture Farmer Field School Adaptability Trials/Field Days Technology Commercialization CBA Resilient Communities GP options, HVCA, EWS, PDNA, etc PARTNER AGENCIES, NGO s, ACADEME, PRIVATE INSTITUTION, OTHER STAKEHOLDERS Other Interventions 3

4 AMICAF Framework: Addressing the Linkage Between Climate Change &Food Security IV. Awareness Raising and Institutional Mechanism 6. Enhanced awareness on climate change impacts and vulnerability to food insecurity and improved institutional mechanism to conduct and use impact and vulnerability assessments (one country) I. Climate Change Impacts Assessment 1. Enhanced national capacities to assess impacts of climate change on agriculture (two countries) 2. Climate Change impacts on agriculture assessed (two countries) II. Food Insecurity Vulnerability Analysis 3. Enhanced national capacities to analyze and map household vulnerability to food insecurity in the context of climate change (two countries) 4. Household vulnerability to food insecurity in the context of climate change analyzed and mapped (two countries) III. Livelihood Adaptation to Climate Change 5. Enhanced capacities of vulnerable communities to adapt to climate change (one country) 4 7. Guidelines developed for implementation in other countries of the integrated approach framework for climate change and food security, and promotion of the framework (Global)

5 CLIMATE SMART FFS Integration Framework Climate Field School (Dumangas/Irosin Model) Farmer Field School (PalayCheck) CLIMATE SMART FFS 5 Climate, Pest and Crop Growth and Development Cropping Systems and Climate Related Risks Observation of Weather and Climate Parameters Weather and Climate Information Products and Sources (Temperature, Rainfall, Evaporation Rate, Humidity) Forecast Generation, Climate Forecast Interpretation, Translation and Communication Incorporating Climate Forecast in Decision Making Used high quality seeds of a recommended variety. No high and low soil spots after final leveling. Practiced synchronous planting after a fallow period. Sufficient nutrients from tillering to early panicle initiation and flowering stages. Avoided excessive water or drought stress that could affect the growth and yield of the crop. No significant yield loss due to pests. Cut and threshed the crop at the right time. Topics and information on Climate/Weather outlooks, forecast, farm advisory, parameters etc are discussed every meeting in addition to key systems; Proven GP options/adaptation strategies are introduced to participants for adoption/testing; Focused on increasing farm productivity, reducing losses from climate related risks and minimize food insecurity.

6 Project Sites CALABANGA CABUSAO GAINZA BASUD NABUA BULA CANAMA N BAAO BUHI SAN FERNANDO 6 Target Provinces and Municipalities: Camarines Sur: Buhi, Calabanga, Nabua, Gainza, Bula, Baao, Cabusao, Canaman (Seed Production at DA RFO-5, BEST, Pili) Camarines Norte: Basud Masbate: San Fernando

7 HOW DOES IT WORK? COMMUNITY SELECTION INTERVENTIONS OUTPUTS High level of dependence on agriculture Highly vulnerable to hydro-meteorological hazards With existing FFS program with LGU With active FO and cooperators CS-FFS Module Testing of Good Practice Options for CCA o GSR Lines/ Stress tolerant varieties o Farming systems o Production Technologies Improved understanding on weather/climate info Identified GP options, best performing technologies, varieties, lines Mainstreamed DRR/CCA in agri.

8 Example of Rainfall Monitoring Recorded rainfall ~48 mm 8 National CBA Conference 2012

9 Saline Prone Areas GSR Lines WS (Calabanga) DS 2013 (Calabanga) WS ( of 3 sites ) GSR GSR GSR GSR5A GSR GSR GSR GSR Lines ave of Check

10 Submergence Prone Areas WS (Nabua) DS 2013 (Nabua) WS ( of 2 sites ) GSR Lines GSR GSR5A GSR GSR GSR HHZ8-SAL14-SAL1-SUB IR B-B-1 (W142) GSR Lines ave PSB Rc18(S 1 ) of Check

11 Drought Prone Areas GSR Lines WS (Buhi) DS 2013 (Buhi) WS ( of 5 sites ) GSR GSR GSR GSR5A GSR GSR GSR GSR Lines ave of Check

12 Comparative (MT/Ha) of GPOs GPO's conducted San Isidro-Inapatan, Nabua WS 2012 San Antonio- Poblacion, Nabua Salvacion Baybay, Calabanga Variety/GPOs,, Variety/GPOs mt/ha mt/ha Rice Duck NSIC Rc222 6 PSB Rc18s1 4.8 PSB Rc Nutrient Manager (IRRI) NSIC Rc PSBRc Farmer's Practice NSIC Rc NSIC Rc PSB Rc82 5.6, Variety/GPOs mt/ha DS 2013 San Isidro Inapatan, San Antonio- Salvacion Baybay, Rice Duck GSR NSIC Rc GSR11,2,5 4.4 Farmer's Practice NSIC Rc PSB Rc NSIC Rc152) 3.4 DS 2013 WS 2013 Igbac, Buhi San Ant.-Pob., Nabua Variety/GPOs,, Variety/GPOs mt/ha mt/ha Rice Duck PSB Rc PSB Rc18s1 4.7 Farmer's Practice Malagkit 4.3 PSB Rc

13 (MT/Ha) in Seed Production, DA-BEST Rice Lines DS 2012 DS 2013 Maturity days Remarks GSR Rounded grain similar to Bigante GSR prone to lodging, small plant base GSR preferred for aroma/good eating quality GSR5A GSR ideal for irigated, robust GSR GSR RTV PSB Rc18S prone to lodging Total Area Planted: DS ha (80 m 2 /line) DS ha (2,000m 2 /line) 13

14 Findings and Lessons Learned Under Bicol conditions, GSR generally yielded % yield advantage relative to varieties; farmer varieties across 12 sites in the 6 provinces Top yielders for most of the adverse agroecosystems are GSR 11, GSR 12 GSR 5a & GSR 8 Better understanding of good practice options, climate/ weather forecast & timely delivery of advisories to farmers enhances local disaster preparedness and reduces livelihood losses;

15 AWS Utilization/Upscaling of CS-FFS Climate smart Farmers Field School on corn slated! ( %20Climate%20Smart%20Farmers%20Field%20School%20for%20Corn%20slated.pdf) Used for monitoring trends in weather pattern/ew Particulars CAM. SUR Normal (mm) Actual Rainfall in Nabua, CS (mm) Actual Rainfall in Pili, CS (mm) 2014 JAN FEB MAR Data Source/Remarks Computed based on the climate outlook issued by PAGASA last January AWS installed under AMICAF Project (As of March 13, 2014) Agro-Met Station in CBSUA, Pili, CS (PAGASA), as of March 13, 2014

16 16 National CBA Conference 2012

17 17