Network of Intensive Carbon Monitoring Sites in Mexico: Multi ...
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Empirical models based on forest inventory data and data from the intensive sites (Including data from chronosequences that are outside of the specific boundaries of the intensive sites) The empirical models represent the different kinds of disturbances typical of the region or state Esosystem process models are also used to fill data gaps Benefits of intensive sites: • Calibration and validation of forest inventory estimates, remote sensing, and models • Development of emission factors with a high level of certainty • Assist in the development of protocols for estimating carbon dynamics and monitoring forests • Recommending cost-effective methods to support decision making • Data about climate impacts on carbon and other important ecosystem characteristics and services Co-benefits of intensive sites: • Improve knowledges of forest resources, among government, academic, NGOs, and communities • Tools for forest management and to support sustainable production of wood and non-wood forest products • Information to support strategic analysis of climate change mitigation and adaptation products • An education platform for professional foresters and technicians • A basic system for other biological and environmental studies • An information base that can be used to support forest certification Network of Intensive Carbon Monitoring Sites in Mexico: Multi-institutional Collaboration to Support Mexico’s National MRV/REDD+ Systems and North American Carbon Cycle Research Richard Birdsey 1 , Craig Wayson 1 , Marcela Olguin 2 , Gregorio Ángeles-Pérez 3 , Vanessa Maldonado 2 , David Lopez 2 , Juan Manuel Dupuy 4 José Arreola 5 , Ligia Esparza 6 , Enrique Serrano 7 , Juan Pablo Caamal 2 Benjamín Méndez 2 , Gonzalo Sánchez 2 Oswaldo Carrillo 2 1 USDA Forest Service, 2 Proyecto México Noruega – CONAFOR, 3 Colegio de Postgraduados, 4 Centro de Investigación Científica de Yucatán, 5 Uyoolche AC, 6 El Colegio de la Frontera Sur, 7 Comisión Nacional Forestal ABSTRACT: In 2012, the Government of Mexico started to design a system of measurement, reporting and verification (MRV) to account for the emissions and removals of greenhouse gases associated with the country’s forest sector, in a transparent, consistent, comparable, complete and accurate manner. Since May of 2012, members of the scientific community, civil society organizations and national and international government agencies came together to form the Mexican Network of Intensive Carbon Monitoring Sites (Red Mex-SMIC). One purpose of this network is to support Mexico’s MRV system by integrating information derived from multi-scale approaches (e.g. permanent plots, eddy covariance towers, remote sensing, and carbon dynamics models) to monitor forest carbon fluxes in a variety of forested ecosystems with different management regimes and forest conditions. Other purposes are to facilitate cross-site comparisons, collaborative research, education, and community outreach. Thus, in all these sites, protocols for collecting and analyzing field measurements with quality control procedures and uncertainty analysis are being tested and validated to provide precise estimates of carbon stocks and of carbon fluxes from local to regional scales. Some of the intensive monitoring sites include flux towers and all have available remote sensing imagery including LiDAR. Our poster introduces the Mexican Network and highlights progress made in terms of data collection from permanent plots and integration with the national MRV requirements using carbon dynamics modeling and scaling methods. We share some key lessons learned from US, Canada and Mexico, and discuss the possibility of forming a North American Network of Intensive Carbon Monitoring sites. Products Outcomes Network Objectives Methodologies Sponsors: For additional information Richard Birdsey: [email protected] Marcela Olguin: [email protected] Craig Wayson: [email protected] Kaxil Kiuic (Merida) Calakmul (Campeche) Uyoolche (Quintana Roo) Atopixco (Hidalgo) La Encrucijada (Chiapas) Network of Intensive Carbon Monitoring Sites *Mex-SMIC* Basic Measurements at Intensive Sites • Biometrics – field measurements of stocks and fluxes of carbon • Flux towers – real-time monitoring of the exchange of carbon dioxide, water, and energy between the land and the atmosphere • Remote sensing – observations of land cover and changes in vegetation structure Variable Remote sensing Forest inventories Intensive sites Land cover X X X Leaf area X X X Disturbance X X X Stand structure /species composition X X Live biomass (live, dead) X X Soil, dead wood, forest floor X X Growth, mortality, and harvest of biomass X X Litterfall X Root dynamics X Soil respiration (CO 2 /CH 4 ) X Net ecosystem exchange of CO 2 X Selected Variables and Measurement Methods Idealized Sampling Scheme for a Landscape-scale Intensive Monitoring Site •3 x 3 km grid of inventory plots surrounding a meteorological tower or other installation at center •Inventory plots follow standard FIA protocol •Other measures (litterfall, respiration) take place at inventory plots •Larger area for remote sensing; will include range of disturbance Nearby national forest inventory plot (location hidden) Flux tower Landscape monitoring sample location Validation sample location 3 km Data and Estimates from Intensive Carbon Monitoring Sites in Mexico - The five main carbon pools required for reporting: biomass, litter, down woody debris, soil, and understory vegetation - 32 to 40 clusters of sample plots following the national forest inventory design - Estimates represent different types of disturbances and management practices - Estimates represent landscapes from 900 to 1600 ha - Some of the sites have eddy flux towers: Atopixco, Kaxil Kiuic, and La Encrucijada - All sites have remote sensing: Lidar, Rapid Eye, Landsat Publications and Links Birdsey, Richard; Angeles-Perez, Gregorio; Kurz, Werner K.; Lister, Andrew; Olguin, Marcela; Pan, Yude; Wayson, Craig; Wilson, Barry; Johnson, Kristofer. 2013. Approaches to monitoring changes in carbon stocks for REDD+. Carbon Management. 4(5): 519-537. Dai, Zhaohua; Birdsey, Richard A.; Johnson, Kristofer D.; Dupuy, Juan Manuel; Hernandez-Stefanoni, Jose Luis; Richardson, Karen. 2014. Modeling Carbon Stocks in a Secondary Tropical Dry Forest in the Yucatan Peninsula, Mexico. Water Air Soil Pollution. 225(3): 1-15. Hernández-Stefanoni, Jose Luis; Dupuy, Juan Manuel; Johnson, Kristofer D.; Birdsey, Richard; Tun-Dzul, Fernando; Peduzzi, Alicia; Caamal-Sosa, Juan Pablo; Sánchez-Santos, Gonzalo; López-Merlín, David. 2014. Improving Species Diversity and Biomass Estimates of Tropical Dry Forests Using Airborne LiDAR. Remote Sens. 6(No issue): 4741-4763 Wayson, Craig A.; Kris D Johnson, Jason A Cole, Marcela I Olguin, Oswaldo I Carrillo and. 2015. Estimating uncertainty of allometric biomass equations with incomplete fit error information using a pseudo-data approach. Annals of Forest Science. Intensive-site web link (Red-Mex SMIC): www.mrv.mx/mexsmic Related Posters 39: Carbon cycle dynamics of the Mexican tropical dry forest within the North American monsoon region. (Enrico Yepez, Jaime Garatuza-Payan, Juan Gamez-Badouin, Marco Gonzalez- Pelayo, Miguel Rivera, Luis Mendez-Barrozo, Agustin Robles-Morua, Tonantzin Tarin, Joseline Benitez-Lopez, Kristofer Johnson, Rodrigo Vargas, Richard Birdsey) \ 43: Network of Intensive Carbon Monitoring Sites in Mexico: Forest management under REDD+, is it a feasible mitigation option? (Gregorio Ángeles-Pérez, Benjamin Mendez-López, María Soriano-Luna, Francisca Plascencia-Escalante, Richard Birdsey, José Valdez-Lazalde) 112: Network of Intensive Monitoring Sites in Mexico: soil physical properties to improve carbon modeling (Kristofer Johnson, Vanessa Maldonado, Gregorio Ángeles-Pérez, Juan Manuel Dupuy Rada, David López Merlín, José Arreola Palacios, Sebastian Puc, Carlos Robles, Gonzalo Sánchez, Juan Pablo Caamal Sosa, Manuela Tamayo, Craig Wayson, Enrico Yépez) 118. The importance of using the best-possible information on forest disturbances in reducing uncertainties in Tier 3 modeling of national greenhouse gas balances (David Greenberg, Werner Kurz, Max Fellows, Scott Morken, Alexa Dugan, Richard Birdsey) 142: Proposal of reference level for Mexico’s forests emissions. (Jorge Morfín, Oswaldo Carrillo, Rene Gonzalez, Marcela Olgin, Lucio Santos, Jose Michel, Rafel Mayorga, Miguel Muñoz, Gustavo Rodriguez, Luis Rangel, Jesus Orozco, Enrique Serrano, Daniel Buira) 182: Use of carbon accounting models as integrative frameworks to support MRV/REDD+ systems: lessons learned from a multi-institutional collaboration effort in Mexico (Marcela Olguin, Werner Kurz, Craig Wayson, Rich Birdsey, Max Fellows, Karen Richardson, Gregorio Ángeles, Vanessa Maldonado, David López-Merlin, Vanessa Silva, Oswaldo Carrillo, David Greenberg, Zhaohua Dai) 219: Integrated Modeling and Assessment of North American Forest Carbon Dynamics and Climate Change Mitigation Options (Karen Richardson, Werner Kurz, Richard Birdsey, Rene Colditz, Marcela Olguín, Vanessa Silva-Mascorro, David Greenberg, Zhaohua Dai)
Transcript of Network of Intensive Carbon Monitoring Sites in Mexico: Multi ...
Empirical models based onforest inventory data and data from the intensivesites
(Including data from chronosequences that are outside of the specific boundaries of the intensive sites)
The empirical models represent the different kinds of disturbances typical of the region or state
Esosystem process models are also used to fill data gaps
Benefits of intensive sites:• Calibration and validation of forest
inventory estimates, remotesensing, and models
• Development of emission factorswith a high level of certainty
• Assist in the development of protocols for estimating carbondynamics and monitoring forests
• Recommending cost-effectivemethods to support decisionmaking
• Data about climate impacts oncarbon and other importantecosystem characteristics and services
Co-benefits of intensive sites:• Improve knowledges of forest
resources, among government, academic, NGOs, and communities
• Tools for forest management and to support sustainable productionof wood and non-wood forestproducts
• Information to support strategicanalysis of climate changemitigation and adaptation products
• An education platform forprofessional foresters and technicians
• A basic system for other biologicaland environmental studies
• An information base that can be used to support forest certification
Network of Intensive Carbon Monitoring Sites in Mexico: Multi-institutional Collaboration to Support
Mexico’s National MRV/REDD+ Systems and North American Carbon Cycle Research
Richard Birdsey1, Craig Wayson1, Marcela Olguin2, Gregorio Ángeles-Pérez3, Vanessa Maldonado2, David Lopez2, Juan Manuel Dupuy4
José Arreola5, Ligia Esparza6, Enrique Serrano7, Juan Pablo Caamal2 Benjamín Méndez2, Gonzalo Sánchez2 Oswaldo Carrillo2 1USDA Forest Service, 2Proyecto México Noruega – CONAFOR, 3Colegio de Postgraduados,
4Centro de Investigación Científica de Yucatán, 5Uyoolche AC, 6El Colegio de la Frontera Sur, 7Comisión Nacional Forestal
ABSTRACT: In 2012, the Government of Mexico started to design a system of measurement, reporting
and verification (MRV) to account for the emissions and removals of greenhouse gases associated with
the country’s forest sector, in a transparent, consistent, comparable, complete and accurate manner.
Since May of 2012, members of the scientific community, civil society organizations and national and
international government agencies came together to form the Mexican Network of Intensive Carbon
Monitoring Sites (Red Mex-SMIC). One purpose of this network is to support Mexico’s MRV system by
integrating information derived from multi-scale approaches (e.g. permanent plots, eddy covariance
towers, remote sensing, and carbon dynamics models) to monitor forest carbon fluxes in a variety of
forested ecosystems with different management regimes and forest conditions. Other purposes are to
facilitate cross-site comparisons, collaborative research, education, and community outreach. Thus, in all
these sites, protocols for collecting and analyzing field measurements with quality control procedures and
uncertainty analysis are being tested and validated to provide precise estimates of carbon stocks and of
carbon fluxes from local to regional scales. Some of the intensive monitoring sites include flux towers and
all have available remote sensing imagery including LiDAR. Our poster introduces the Mexican Network
and highlights progress made in terms of data collection from permanent plots and integration with the
national MRV requirements using carbon dynamics modeling and scaling methods. We share some key
lessons learned from US, Canada and Mexico, and discuss the possibility of forming a North American
Network of Intensive Carbon Monitoring sites.
Products
Outcomes Network
Objectives
Methodologies
Sponsors:
For additional information
Richard Birdsey: [email protected]
Marcela Olguin: [email protected]
Craig Wayson: [email protected]
Kaxil Kiuic (Merida)
Calakmul(Campeche)
Uyoolche(Quintana
Roo)
Atopixco (Hidalgo)
La Encrucijada(Chiapas)
Network of Intensive Carbon Monitoring Sites *Mex-SMIC*
Basic Measurements at IntensiveSites
• Biometrics – field measurements of stocks and fluxes of carbon
• Flux towers – real-time monitoring of theexchange of carbon dioxide, water, and energybetween the land and the atmosphere
• Remote sensing – observations of land coverand changes in vegetation structure
VariableRemote sensing
Forest inventories
Intensive sites
Land cover X X X
Leaf area X X X
Disturbance X X X
Stand structure /species composition X X
Live biomass (live, dead) X X
Soil, dead wood, forest floor X X
Growth, mortality, and harvest of biomass
X X
Litterfall X
Root dynamics X
Soil respiration (CO2/CH4) X
Net ecosystem exchange of CO2 X
Selected Variables and Measurement Methods
Idealized Sampling Scheme for a Landscape-scale Intensive Monitoring Site
•3 x 3 km grid of inventory plots surrounding a meteorological tower or other installation at center
•Inventory plots follow standard FIA protocol
•Other measures (litterfall, respiration) take place at inventory plots
•Larger area for remote sensing; will include range of disturbance
Nearby national
forest
inventory
plot
(location
hidden)
Flux tower
Landscape monitoring sample location
Validation
sample location
3 km
Data and Estimates from Intensive CarbonMonitoring Sites in Mexico
- The five main carbon pools required for reporting: biomass, litter, down woody debris, soil, and understory vegetation
- 32 to 40 clusters of sample plots following thenational forest inventory design
- Estimates represent different types of disturbances and management practices
- Estimates represent landscapes from 900 to 1600 ha
- Some of the sites have eddy flux towers: Atopixco, Kaxil Kiuic, and La Encrucijada
- All sites have remote sensing: Lidar, Rapid Eye, Landsat
Publications and LinksBirdsey, Richard; Angeles-Perez, Gregorio; Kurz, Werner K.; Lister, Andrew; Olguin, Marcela; Pan, Yude; Wayson, Craig; Wilson, Barry; Johnson, Kristofer. 2013. Approaches to monitoring changes in carbon stocks for REDD+. Carbon Management. 4(5): 519-537.
Dai, Zhaohua; Birdsey, Richard A.; Johnson, Kristofer D.; Dupuy, Juan Manuel; Hernandez-Stefanoni, Jose Luis; Richardson, Karen. 2014. Modeling Carbon Stocks in a Secondary Tropical Dry Forest in the Yucatan Peninsula, Mexico. Water Air Soil Pollution. 225(3): 1-15.
Hernández-Stefanoni, Jose Luis; Dupuy, Juan Manuel; Johnson, Kristofer D.; Birdsey, Richard; Tun-Dzul, Fernando; Peduzzi, Alicia; Caamal-Sosa, Juan Pablo; Sánchez-Santos, Gonzalo; López-Merlín, David. 2014. Improving Species Diversity and Biomass Estimates of Tropical Dry Forests Using Airborne LiDAR. Remote Sens. 6(No issue): 4741-4763
Wayson, Craig A.; Kris D Johnson, Jason A Cole, Marcela I Olguin, Oswaldo I Carrillo and. 2015. Estimating uncertainty of allometric biomass equations with incomplete fit error information using a pseudo-data approach. Annals of Forest Science.
Intensive-site web link (Red-Mex SMIC): www.mrv.mx/mexsmic
Related Posters39: Carbon cycle dynamics of the Mexican tropical dry forest within the North American monsoon region. (Enrico Yepez, Jaime Garatuza-Payan, Juan Gamez-Badouin, Marco Gonzalez-Pelayo, Miguel Rivera, Luis Mendez-Barrozo, Agustin Robles-Morua, Tonantzin Tarin, JoselineBenitez-Lopez, Kristofer Johnson, Rodrigo Vargas, Richard Birdsey) \
43: Network of Intensive Carbon Monitoring Sites in Mexico: Forest management under REDD+, is it a feasible mitigation option? (Gregorio Ángeles-Pérez, Benjamin Mendez-López, María Soriano-Luna, Francisca Plascencia-Escalante, Richard Birdsey, José Valdez-Lazalde)
112: Network of Intensive Monitoring Sites in Mexico: soil physical properties to improve carbon modeling (Kristofer Johnson, Vanessa Maldonado, Gregorio Ángeles-Pérez, Juan Manuel Dupuy Rada, David López Merlín, José Arreola Palacios, Sebastian Puc, Carlos Robles, Gonzalo Sánchez, Juan Pablo Caamal Sosa, Manuela Tamayo, Craig Wayson, Enrico Yépez)
118. The importance of using the best-possible information on forest disturbances in reducing uncertainties in Tier 3 modeling of national greenhouse gas balances (David Greenberg, Werner Kurz, Max Fellows, Scott Morken, Alexa Dugan, Richard Birdsey)
142: Proposal of reference level for Mexico’s forests emissions. (Jorge Morfín, Oswaldo Carrillo, Rene Gonzalez, Marcela Olgin, Lucio Santos, Jose Michel, Rafel Mayorga, Miguel Muñoz, Gustavo Rodriguez, Luis Rangel, Jesus Orozco, Enrique Serrano, Daniel Buira)
182: Use of carbon accounting models as integrative frameworks to support MRV/REDD+ systems: lessons learned from a multi-institutional collaboration effort in Mexico (Marcela Olguin, Werner Kurz, Craig Wayson, Rich Birdsey, Max Fellows, Karen Richardson, Gregorio Ángeles, Vanessa Maldonado, David López-Merlin, Vanessa Silva, Oswaldo Carrillo, David Greenberg, Zhaohua Dai)
219: Integrated Modeling and Assessment of North American Forest Carbon Dynamics and Climate Change Mitigation Options (Karen Richardson, Werner Kurz, Richard Birdsey, Rene Colditz, Marcela Olguín, Vanessa Silva-Mascorro, David Greenberg, Zhaohua Dai)
