benefits objectives 1.natural resources information system. improved intra and inter-institutional...
TRANSCRIPT
OBJECTIVES1. To enhance national and provincial levels monitoring, analysis, communication and use of agro-meteorological data and in formation for decision-making in relation to agriculture and food security.
2. To improve monitoring and analysis of agricultural production systems by strength-ening Land Resources Information Manage-ment Systems (LRIMS) and Agro-Ecological Zoning (AEZ) to support agricultural policies and climate-change adaptation.
EXPECTED IMPACTGovernment adopts improved national poli-cies and local adaptation strategies informed by enhanced information to support sustain-able agriculture and livelihoods.
BENEFITSThe project will develop scenarios for policies and plans for agriculture and natural resource management at national and provincial levels in Lao PDR.
Improved agrometeorological network and natural resources information system.
Improved intra and inter-institutional coor-dination, and inclusion of information into the national e-government system.
Pilot information flow will benefits decision makers and smallholders in Xe Champone and Beung Kiat Ngong with a specific at-tention to gender and women activities.
At national level capacity on geographical information and agro-meteorological will be enhanced. At local level, capacity to use information generated by the project will be improved.
Strengthening agro-climatic monitoring and information systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR
AEZ
LRIMS
Pho
to: C
C 4
.0
Viengxai ManivongNational Project DirectorHead of Planning and Cooperation Division Tel. +856 (0)20 2242 6323+856 (0)20 5474 [email protected] [email protected]
Monica PetriProject Coordinator
Tel +856 (0)20 5914 [email protected]
Department of Meteorology and Hydrology (DMH)Ministry of Natural Resources and Environment (MONRE) Souphanouvong Avenue, Ban Akat, Sikhothabong District, Vientiane Capital, Lao PDRPostal office: PO Box 2903, Vientiane Capital, Lao PDR
©FA
O
2018
I775
5EN
/1/0
2.18
OBJECTIVES1. To enhance national and provincial levels monitoring, analysis, communication and use of agro-meteorological data and in formation for decision-making in relation to agriculture and food security.
2. To improve monitoring and analysis of agricultural production systems by strength-ening Land Resources Information Manage-ment Systems (LRIMS) and Agro-Ecological Zoning (AEZ) to support agricultural policies and climate-change adaptation.
EXPECTED IMPACTGovernment adopts improved national poli-cies and local adaptation strategies informed by enhanced information to support sustain-able agriculture and livelihoods.
BENEFITSThe project will develop scenarios for policies and plans for agriculture and natural resource management at national and provincial levels in Lao PDR.
Improved agrometeorological network and natural resources information system.
Improved intra and inter-institutional coor-dination, and inclusion of information into the national e-government system.
Pilot information flow will benefits decision makers and smallholders in Xe Champone and Beung Kiat Ngong with a specific at-tention to gender and women activities.
At national level capacity on geographical information and agro-meteorological will be enhanced. At local level, capacity to use information generated by the project will be improved.
Strengthening agro-climatic monitoring and information systems (SAMIS) to improve adaptation to climate change and food security in Lao PDR
AEZ
LRIMS
Pho
to: C
C 4
.0
Viengxai ManivongNational Project DirectorHead of Planning and Cooperation Division Tel. +856 (0)20 2242 6323+856 (0)20 5474 [email protected] [email protected]
Monica PetriProject Coordinator
Tel +856 (0)20 5914 [email protected]
Department of Meteorology and Hydrology (DMH)Ministry of Natural Resources and Environment (MONRE) Souphanouvong Avenue, Ban Akat, Sikhothabong District, Vientiane Capital, Lao PDRPostal office: PO Box 2903, Vientiane Capital, Lao PDR
©FA
O
2018
I775
5EN
/1/0
2.18
Component 1/ Agroclimatic monitoring and analysisThe project enhances the existing agro-meteorological networks and develops the infrastructure, procedures and capacity to provide high quality data and information services.
Agrometeorological station network15 stations will be installed and 15 will be upgraded
Improved data coding and communicationConnectivity between stations, provincial and national centres will be enhanced
Standard operating procedures Harmonization of procedure, update of guidelines and handbooks, appropriate staff training
Standards for monitoring, processing and analysis A calibration laboratory and required analytical capability will be established
Close collaboration with partner projects investing in agro-meteorological forecast and infrastructure upgrades will ensure harmonized and integrated activities, effective flow of information and enhanced support to local and national decision makers.
Photo: ©FAO/Monica Petri
SAMIS will use the Land Resources Information Management System (LRIMS), the National Agro-Ecological Zoning (NAEZ) and the Socio-Agricultural Vulnerability Analysis (SAVA) to analyse Systems at Risk (SAR).
LRIMS is a data integration and analysis system for land suitability evaluation and for modelling land responses.
NAEZ is a spatial analysis system quantifying land productivity based on the FAO Agro-Ecological Zones methodology.
SAVA uses geo-referred census variables and socio-economic parameters to characterize vulnerability to hazards.
SAMIS will improve local level climate information services and will share them together with production scenarios to support local level planning and smallholders adaptation strategies through appropriate Farmer Field School curricula for climate change adaptation.
Photo: ©FAO/K. Pratt
Component 3/ Knowledge management and disseminationImproved ability to apply climate information, create scenarios and test and adapt resilient strategies.
KnowledgeManageMent
agencies/NGOs policy-makers adaptation plan
ners
Com
mun
ity/Farmers
Communication and information sharingWill disseminate best practice and lessons learnt. Workshops at national, provincial and local levels will reach a wider audience.
Knowledge and information Farmer Field Schools (FFS) Will disseminate and test adaptive lessons learned and training in 2 provinces (Savannakhet and Champassak).
Component 2/ Land Resources Information Management System (LRIMS) and National Agro-Ecological Zoning (NAEZ)Design policy options and guide land management planning for sustainably, enhancing food security and supporting risk response in a context of current and future climate change.
National Agro-Ecological Zoning (NAEZ)
Socio-Agricultural Vulnerability Analysis (SAVA)
Present & future
ProduCtIVItY lIVelIhood
resPonses IMPaCt
Climate change Biophysical analysis
AVAILABILITY
Policy ResponseScenarios
Monitoring
Socio-economic analysis Capacity
ACCESS & UTILIZATION
Risk zoning/hotspotsMulti-criteria analysis
Policy options & trade-off Systems at Risk (SAR)
worKflow & desIgnIng
lrIMs
Project Monitoringand EvaluationProject participatory monitoring system.
Effective decision makingWill enhable informed decision making for national and local level policy makers.
Component 1/ Agroclimatic monitoring and analysisThe project enhances the existing agro-meteorological networks and develops the infrastructure, procedures and capacity to provide high quality data and information services.
Agrometeorological station network15 stations will be installed and 15 will be upgraded
Improved data coding and communicationConnectivity between stations, provincial and national centres will be enhanced
Standard operating procedures Harmonization of procedure, update of guidelines and handbooks, appropriate staff training
Standards for monitoring, processing and analysis A calibration laboratory and required analytical capability will be established
Close collaboration with partner projects investing in agro-meteorological forecast and infrastructure upgrades will ensure harmonized and integrated activities, effective flow of information and enhanced support to local and national decision makers.
Photo: ©FAO/Monica Petri
SAMIS will use the Land Resources Information Management System (LRIMS), the National Agro-Ecological Zoning (NAEZ) and the Socio-Agricultural Vulnerability Analysis (SAVA) to analyse Systems at Risk (SAR).
LRIMS is a data integration and analysis system for land suitability evaluation and for modelling land responses.
NAEZ is a spatial analysis system quantifying land productivity based on the FAO Agro-Ecological Zones methodology.
SAVA uses geo-referred census variables and socio-economic parameters to characterize vulnerability to hazards.
SAMIS will improve local level climate information services and will share them together with production scenarios to support local level planning and smallholders adaptation strategies through appropriate Farmer Field School curricula for climate change adaptation.
Photo: ©FAO/K. Pratt
Component 3/ Knowledge management and disseminationImproved ability to apply climate information, create scenarios and test and adapt resilient strategies.
KnowledgeManageMent
agencies/NGOs policy-makers adaptation plan
ners
Com
mun
ity/Farmers
Communication and information sharingWill disseminate best practice and lessons learnt. Workshops at national, provincial and local levels will reach a wider audience.
Knowledge and information Farmer Field Schools (FFS) Will disseminate and test adaptive lessons learned and training in 2 provinces (Savannakhet and Champassak).
Component 2/ Land Resources Information Management System (LRIMS) and National Agro-Ecological Zoning (NAEZ)Design policy options and guide land management planning for sustainably, enhancing food security and supporting risk response in a context of current and future climate change.
National Agro-Ecological Zoning (NAEZ)
Socio-Agricultural Vulnerability Analysis (SAVA)
Present & future
ProduCtIVItY lIVelIhood
resPonses IMPaCt
Climate change Biophysical analysis
AVAILABILITY
Policy ResponseScenarios
Monitoring
Socio-economic analysis Capacity
ACCESS & UTILIZATION
Risk zoning/hotspotsMulti-criteria analysis
Policy options & trade-off Systems at Risk (SAR)
worKflow & desIgnIng
lrIMs
Project Monitoringand EvaluationProject participatory monitoring system.
Effective decision makingWill enhable informed decision making for national and local level policy makers.
Component 1/ Agroclimatic monitoring and analysisThe project enhances the existing agro-meteorological networks and develops the infrastructure, procedures and capacity to provide high quality data and information services.
Agrometeorological station network15 stations will be installed and 15 will be upgraded
Improved data coding and communicationConnectivity between stations, provincial and national centres will be enhanced
Standard operating procedures Harmonization of procedure, update of guidelines and handbooks, appropriate staff training
Standards for monitoring, processing and analysis A calibration laboratory and required analytical capability will be established
Close collaboration with partner projects investing in agro-meteorological forecast and infrastructure upgrades will ensure harmonized and integrated activities, effective flow of information and enhanced support to local and national decision makers.
Photo: ©FAO/Monica Petri
SAMIS will use the Land Resources Information Management System (LRIMS), the National Agro-Ecological Zoning (NAEZ) and the Socio-Agricultural Vulnerability Analysis (SAVA) to analyse Systems at Risk (SAR).
LRIMS is a data integration and analysis system for land suitability evaluation and for modelling land responses.
NAEZ is a spatial analysis system quantifying land productivity based on the FAO Agro-Ecological Zones methodology.
SAVA uses geo-referred census variables and socio-economic parameters to characterize vulnerability to hazards.
SAMIS will improve local level climate information services and will share them together with production scenarios to support local level planning and smallholders adaptation strategies through appropriate Farmer Field School curricula for climate change adaptation.
Photo: ©FAO/K. Pratt
Component 3/ Knowledge management and disseminationImproved ability to apply climate information, create scenarios and test and adapt resilient strategies.
KnowledgeManageMent
agencies/NGOs policy-makers adaptation plan
ners
Com
mun
ity/Farmers
Communication and information sharingWill disseminate best practice and lessons learnt. Workshops at national, provincial and local levels will reach a wider audience.
Knowledge and information Farmer Field Schools (FFS) Will disseminate and test adaptive lessons learned and training in 2 provinces (Savannakhet and Champassak).
Component 2/ Land Resources Information Management System (LRIMS) and National Agro-Ecological Zoning (NAEZ)Design policy options and guide land management planning for sustainably, enhancing food security and supporting risk response in a context of current and future climate change.
National Agro-Ecological Zoning (NAEZ)
Socio-Agricultural Vulnerability Analysis (SAVA)
Present & future
ProduCtIVItY lIVelIhood
resPonses IMPaCt
Climate change Biophysical analysis
AVAILABILITY
Policy ResponseScenarios
Monitoring
Socio-economic analysis Capacity
ACCESS & UTILIZATION
Risk zoning/hotspotsMulti-criteria analysis
Policy options & trade-off Systems at Risk (SAR)
worKflow & desIgnIng
lrIMs
Project Monitoringand EvaluationProject participatory monitoring system.
Effective decision makingWill enhable informed decision making for national and local level policy makers.
Viengxai ManivongNational Project DirectorHead of Planning and Cooperation Division
Tel. +856 (0)20 2242 6323+856 (0)20 5474 [email protected] [email protected]
Monica PetriProject Coordinator
Tel +856 (0)20 5914 [email protected]
Department of Meteorology and Hydrology (DMH)Ministry of Natural Resources and Environment (MONRE)
Souphanouvong Avenue, Ban Akat, Sikhothabong District, Vientiane Capital, Lao PDRPostal office: PO Box 2903, Vientiane Capital, Lao PDR
©FA
O20
19I7
755E
N/1
/01.
19
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