SlideShare uma empresa Scribd logo
1 de 19
Baixar para ler offline
Methods for Biomass Estimation
and Forest-Cover Mapping in the Tropics
       Rwanda. June 20-25, 2011




  SPATIAL MODEL OF
  DEFORESTATION FOR
  NORTHEAST BOLIVIA

           Eric Armijo
WHY SPATIAL MODELING OF DEFORESTATION?

• Better understanding of past land use
change processes

• Predictive power (future scenarios):
spatial patterns

• Support decision-making for natural
resource managers

• REDD mechanism: baseline definition
(additionality)
MODELING ENVIRONMENT

            Dinamica EGO
            Universidade Federal de Minas Gerais, Brazil

            http://www.csr.ufmg.br/dinamica/

• Multiple land cover/use transitions at the same time
• Subregion support
• Many transition matrices (annual deforestation rates)
• Dynamic variables
• Highly customizable (w/ spatial patterns)
• Robust with large datasets
• Freeware, available on the web
• Tutorial & technical support available (forum)
MODELING ENVIRONMENT
       Dinamica EGO
STUDY AREA
             SOUTH AMERICA




                   AMAZON
                   EXTENT
Indigenous REDD Program
  in the Bolivian Amazon



       Size: ~ 3.8 Million Ha.

        160,000 inhabitants
      4 indigenous territories

        Forest cover (2008):
      ~2.7 Million Ha. (71,9 %)

     Deforestation: 9,800 Ha/yr
MAIN DRIVERS AND AGENTS OF DEFORESTATION


                    Slash-and-burn




Cattle ranching (pastures)   Small-scale agriculture
        ~ 20 - 50 Ha.                ~ 1 - 5 Ha.



                                          Road
                                          improvement
REGIONALIZATION OF THE STUDY AREA




        4

                1          1   Riberalta - Guayaramerín
                           2   Riberalta - Rurrenabaque
                           3   El Choro - Cobija
3           2              4   Rural (outside main road)
                4




    4
SPATIAL MODELING OF DEFORESTATION

Amount of
  forest
conversion




                                   Lambin & Geist, 2006
DEFORESTATION RATE
      250,000


      200,000         Deforestation
                               (Area in Ha.)
      150,000


      100,000


       50,000


             0
             1991
              0       2    4         6         8    10
                                                   2001   12    14
                                                               2005   16     18
                                                                           2008


                                       Area (Ha.)
                      antes 1991 1991-2001 2001-2005 2005-2008
Study area              83,486     45,390     46,185   29,005                 204,066

   Average annual
 deforestation rate
         (Ha/year)                       4,539       11,546      9,668
DEFORESTATION RATE (Transition Matrix)


          0.13 %


                     1.54 %
                                     The transition matrix
                                    is calculated for each
          0.62 %
                                      subregion based on
                   0.13 %                 observed (past)
0.10 %
                                             deforestation

 0.13 %




               DEFORESTATION RATE
                    1991-2005
SPATIAL MODELING OF DEFORESTATION

                                          Location of
                                            forest
                                          conversion




                          Lambin & Geist, 2006
PREDICTORS (VARIABLES) DEFINITION




Distance to deforested areas   Distance to main roads
“Deforestation risk”




 Deforestation predictors
       (variables)




                               Spatial transition probability


Land use
                     Map of
  1991
                    changes
 & 2005
SPATIAL MODELING OF DEFORESTATION




Simulation




                                   Lambin & Geist, 2006
GENERATING SPATIAL PATTERNS


                  Deforestation patch formation




Expander = 20%      Expander = 40%    Expander = 60%   Expander = 80%
MODEL VALIDATION
                                     55%

                                     50%

                                     45%

                                     40%

                                     35%
                                                                        Model fitness




                                               Similarirty
                                     30%

                                     25%
                                                             Spatial resolution (m)
                                     20%
                                           0                  200      400     600    800   1000




                                     Is the model capturing
                                       adequately the past
                                           dynamics ?
Simulated deforestation: 2005-2008
PROJECTING FUTURE DEFORESTATION SCENARIOS

2008                       2020




           forest
           deforestation            Dinamica
                                    EGO
Thanks you !
     Questions

           Eric Armijo
      earmijo@fan-bo.org
    http://www.fan-bo.org/
http://www.reddamazonia.org/

Mais conteúdo relacionado

Semelhante a Spatial model of deforestation for Northeast Bolivia

Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
Global Risk Forum GRFDavos
 
Dia 1 - Conferência de Abertua - Tony Simons
Dia 1 - Conferência de Abertua - Tony SimonsDia 1 - Conferência de Abertua - Tony Simons
Dia 1 - Conferência de Abertua - Tony Simons
cbsaf
 
1530 andries potgieter
1530 andries potgieter1530 andries potgieter
1530 andries potgieter
Joanna Hicks
 
David Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystemsDavid Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystems
TERN Australia
 
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
World Agroforestry (ICRAF)
 
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
GIS in the Rockies
 
Inpe brazil (ccac november 2012)
Inpe brazil (ccac november 2012)Inpe brazil (ccac november 2012)
Inpe brazil (ccac november 2012)
ESTHHUB
 

Semelhante a Spatial model of deforestation for Northeast Bolivia (20)

Stepwise approach to Reference Levels REDD+
Stepwise approach to Reference Levels REDD+Stepwise approach to Reference Levels REDD+
Stepwise approach to Reference Levels REDD+
 
MRV in REDD+: Deforestation and forest degradation drivers
MRV in REDD+: Deforestation and forest degradation driversMRV in REDD+: Deforestation and forest degradation drivers
MRV in REDD+: Deforestation and forest degradation drivers
 
Emerging carbon economies in northern Australia
Emerging carbon economies in northern AustraliaEmerging carbon economies in northern Australia
Emerging carbon economies in northern Australia
 
IEA - Queimadas na Amazônia e seus efeitos no ecossistema e na saúde da popul...
IEA - Queimadas na Amazônia e seus efeitos no ecossistema e na saúde da popul...IEA - Queimadas na Amazônia e seus efeitos no ecossistema e na saúde da popul...
IEA - Queimadas na Amazônia e seus efeitos no ecossistema e na saúde da popul...
 
Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
Cristina Branquinho "Improving ecosystem services in drylands: microclimate m...
 
Dia 1 - Conferência de Abertua - Tony Simons
Dia 1 - Conferência de Abertua - Tony SimonsDia 1 - Conferência de Abertua - Tony Simons
Dia 1 - Conferência de Abertua - Tony Simons
 
The São Francisco River Basin:Trends, Current Situation, and Policy Options f...
The São Francisco River Basin:Trends, Current Situation, and Policy Options f...The São Francisco River Basin:Trends, Current Situation, and Policy Options f...
The São Francisco River Basin:Trends, Current Situation, and Policy Options f...
 
1530 andries potgieter
1530 andries potgieter1530 andries potgieter
1530 andries potgieter
 
Energy as Motor of Seawater Reverse Osmosis Desalination Development
Energy as Motor of Seawater Reverse Osmosis Desalination DevelopmentEnergy as Motor of Seawater Reverse Osmosis Desalination Development
Energy as Motor of Seawater Reverse Osmosis Desalination Development
 
David Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystemsDavid Keith_Risk assessment of Australian ecosystems
David Keith_Risk assessment of Australian ecosystems
 
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
Smallholders’ agriculture at the tropical forest margin in cameroon opportuni...
 
[Day 2] Center Presentation: IRRI
[Day 2] Center Presentation: IRRI[Day 2] Center Presentation: IRRI
[Day 2] Center Presentation: IRRI
 
Land tenure and land use change
Land tenure and land use changeLand tenure and land use change
Land tenure and land use change
 
Accompanying the agrarian transition in Laos. Guillaume Lestrelin
Accompanying the agrarian transition in Laos. Guillaume LestrelinAccompanying the agrarian transition in Laos. Guillaume Lestrelin
Accompanying the agrarian transition in Laos. Guillaume Lestrelin
 
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
2012 ASPRS Track, Forest cover loss in Papua New Guinea: How much does subsis...
 
Inpe brazil (ccac november 2012)
Inpe brazil (ccac november 2012)Inpe brazil (ccac november 2012)
Inpe brazil (ccac november 2012)
 
Pontillas, J. Role of UNESCO's Man and Biosphere Reserves in Climate Change A...
Pontillas, J. Role of UNESCO's Man and Biosphere Reserves in Climate Change A...Pontillas, J. Role of UNESCO's Man and Biosphere Reserves in Climate Change A...
Pontillas, J. Role of UNESCO's Man and Biosphere Reserves in Climate Change A...
 
WATER MANAGEMENT ACROSS SCALES IN THE SÃO FRANCISCO RIVER BASIN, BRAZIL: POLI...
WATER MANAGEMENT ACROSS SCALES IN THE SÃO FRANCISCO RIVER BASIN, BRAZIL: POLI...WATER MANAGEMENT ACROSS SCALES IN THE SÃO FRANCISCO RIVER BASIN, BRAZIL: POLI...
WATER MANAGEMENT ACROSS SCALES IN THE SÃO FRANCISCO RIVER BASIN, BRAZIL: POLI...
 
Bangladesh experience: Water Security and Climate Change Adaptation presented...
Bangladesh experience: Water Security and Climate Change Adaptation presented...Bangladesh experience: Water Security and Climate Change Adaptation presented...
Bangladesh experience: Water Security and Climate Change Adaptation presented...
 
Decision and Policy Analysis in CIAT - March 2013
Decision and Policy Analysis in CIAT - March 2013Decision and Policy Analysis in CIAT - March 2013
Decision and Policy Analysis in CIAT - March 2013
 

Mais de Universidad Autónoma Gabriel René Moreno

Mais de Universidad Autónoma Gabriel René Moreno (15)

Datos Geográficos & Software Libre
Datos Geográficos & Software LibreDatos Geográficos & Software Libre
Datos Geográficos & Software Libre
 
Preparando app Open Camera para Mapillary
Preparando app Open Camera para MapillaryPreparando app Open Camera para Mapillary
Preparando app Open Camera para Mapillary
 
Mapillary: una introducción
Mapillary: una introducciónMapillary: una introducción
Mapillary: una introducción
 
Spatial model of deforestation for the East Region of Cameroon
Spatial model of deforestation for the East Region of CameroonSpatial model of deforestation for the East Region of Cameroon
Spatial model of deforestation for the East Region of Cameroon
 
Análisis de vulnerabilidad al cambio climático de comunidades indígenas de la...
Análisis de vulnerabilidad al cambio climático de comunidades indígenas de la...Análisis de vulnerabilidad al cambio climático de comunidades indígenas de la...
Análisis de vulnerabilidad al cambio climático de comunidades indígenas de la...
 
Dinámica de la deforestación en la "Amazonía Legal" boliviana
Dinámica de la deforestación en la "Amazonía Legal" bolivianaDinámica de la deforestación en la "Amazonía Legal" boliviana
Dinámica de la deforestación en la "Amazonía Legal" boliviana
 
Modelos espaciales de deforestación en áreas tropicales
Modelos espaciales de deforestación en áreas tropicalesModelos espaciales de deforestación en áreas tropicales
Modelos espaciales de deforestación en áreas tropicales
 
Iniciativas de mitigación del cambio climático en la Amazonía boliviana
Iniciativas de mitigación del cambio climático en la Amazonía bolivianaIniciativas de mitigación del cambio climático en la Amazonía boliviana
Iniciativas de mitigación del cambio climático en la Amazonía boliviana
 
Dinamica EGO applications at FAN-Bolivia
Dinamica EGO applications at FAN-BoliviaDinamica EGO applications at FAN-Bolivia
Dinamica EGO applications at FAN-Bolivia
 
REDD+: una experiencia en Bolivia
REDD+: una experiencia en BoliviaREDD+: una experiencia en Bolivia
REDD+: una experiencia en Bolivia
 
Experiencia con proyectos REDD y PSA en la Amazonía Boliviana
Experiencia con proyectos REDD y PSA en la Amazonía BolivianaExperiencia con proyectos REDD y PSA en la Amazonía Boliviana
Experiencia con proyectos REDD y PSA en la Amazonía Boliviana
 
In the Field. Pantropical Scholars Newsletter (november 2011)
In the Field. Pantropical Scholars Newsletter (november 2011)In the Field. Pantropical Scholars Newsletter (november 2011)
In the Field. Pantropical Scholars Newsletter (november 2011)
 
In the Field. Pantropical Scholars Newsletter (february 2012)
In the Field. Pantropical Scholars Newsletter  (february 2012)In the Field. Pantropical Scholars Newsletter  (february 2012)
In the Field. Pantropical Scholars Newsletter (february 2012)
 
Deforestación en la Amazonía Legal de Bolivia
Deforestación en la Amazonía Legal de BoliviaDeforestación en la Amazonía Legal de Bolivia
Deforestación en la Amazonía Legal de Bolivia
 
In the Field. Pantropical Scholars Newsletter (november 2012)
In the Field. Pantropical Scholars Newsletter  (november 2012)In the Field. Pantropical Scholars Newsletter  (november 2012)
In the Field. Pantropical Scholars Newsletter (november 2012)
 

Último

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Victor Rentea
 

Último (20)

Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...Apidays New York 2024 - The value of a flexible API Management solution for O...
Apidays New York 2024 - The value of a flexible API Management solution for O...
 
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 AmsterdamDEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
DEV meet-up UiPath Document Understanding May 7 2024 Amsterdam
 
Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..Understanding the FAA Part 107 License ..
Understanding the FAA Part 107 License ..
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot TakeoffStrategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Platformless Horizons for Digital Adaptability
Platformless Horizons for Digital AdaptabilityPlatformless Horizons for Digital Adaptability
Platformless Horizons for Digital Adaptability
 

Spatial model of deforestation for Northeast Bolivia

  • 1. Methods for Biomass Estimation and Forest-Cover Mapping in the Tropics Rwanda. June 20-25, 2011 SPATIAL MODEL OF DEFORESTATION FOR NORTHEAST BOLIVIA Eric Armijo
  • 2. WHY SPATIAL MODELING OF DEFORESTATION? • Better understanding of past land use change processes • Predictive power (future scenarios): spatial patterns • Support decision-making for natural resource managers • REDD mechanism: baseline definition (additionality)
  • 3. MODELING ENVIRONMENT Dinamica EGO Universidade Federal de Minas Gerais, Brazil http://www.csr.ufmg.br/dinamica/ • Multiple land cover/use transitions at the same time • Subregion support • Many transition matrices (annual deforestation rates) • Dynamic variables • Highly customizable (w/ spatial patterns) • Robust with large datasets • Freeware, available on the web • Tutorial & technical support available (forum)
  • 4. MODELING ENVIRONMENT Dinamica EGO
  • 5. STUDY AREA SOUTH AMERICA AMAZON EXTENT
  • 6. Indigenous REDD Program in the Bolivian Amazon Size: ~ 3.8 Million Ha. 160,000 inhabitants 4 indigenous territories Forest cover (2008): ~2.7 Million Ha. (71,9 %) Deforestation: 9,800 Ha/yr
  • 7. MAIN DRIVERS AND AGENTS OF DEFORESTATION Slash-and-burn Cattle ranching (pastures) Small-scale agriculture ~ 20 - 50 Ha. ~ 1 - 5 Ha. Road improvement
  • 8. REGIONALIZATION OF THE STUDY AREA 4 1 1 Riberalta - Guayaramerín 2 Riberalta - Rurrenabaque 3 El Choro - Cobija 3 2 4 Rural (outside main road) 4 4
  • 9. SPATIAL MODELING OF DEFORESTATION Amount of forest conversion Lambin & Geist, 2006
  • 10. DEFORESTATION RATE 250,000 200,000 Deforestation (Area in Ha.) 150,000 100,000 50,000 0 1991 0 2 4 6 8 10 2001 12 14 2005 16 18 2008 Area (Ha.) antes 1991 1991-2001 2001-2005 2005-2008 Study area 83,486 45,390 46,185 29,005 204,066 Average annual deforestation rate (Ha/year) 4,539 11,546 9,668
  • 11. DEFORESTATION RATE (Transition Matrix) 0.13 % 1.54 % The transition matrix is calculated for each 0.62 % subregion based on 0.13 % observed (past) 0.10 % deforestation 0.13 % DEFORESTATION RATE 1991-2005
  • 12. SPATIAL MODELING OF DEFORESTATION Location of forest conversion Lambin & Geist, 2006
  • 13. PREDICTORS (VARIABLES) DEFINITION Distance to deforested areas Distance to main roads
  • 14. “Deforestation risk” Deforestation predictors (variables) Spatial transition probability Land use Map of 1991 changes & 2005
  • 15. SPATIAL MODELING OF DEFORESTATION Simulation Lambin & Geist, 2006
  • 16. GENERATING SPATIAL PATTERNS Deforestation patch formation Expander = 20% Expander = 40% Expander = 60% Expander = 80%
  • 17. MODEL VALIDATION 55% 50% 45% 40% 35% Model fitness Similarirty 30% 25% Spatial resolution (m) 20% 0 200 400 600 800 1000 Is the model capturing adequately the past dynamics ? Simulated deforestation: 2005-2008
  • 18. PROJECTING FUTURE DEFORESTATION SCENARIOS 2008 2020 forest deforestation Dinamica EGO
  • 19. Thanks you ! Questions Eric Armijo earmijo@fan-bo.org http://www.fan-bo.org/ http://www.reddamazonia.org/