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ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoWhite Paper: Opportunities and challengesfor integrating CBM into MRV systems forREDD in MexicoFinal ReportDr. Arturo Balderas TorresSeptember, 2013ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN YDEGRADACIÓN

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in Mexicowww.alianza‐mredd.orgContract: CNOMEX‐171‐523‐3816Esta (publicación/estudio/informe/producto de audio o visual/material de comunicación o información, etc.) hasido posible gracias al generoso apoyo del pueblo de los Estados Unidos a través de la Agencia de los EstadosUnidos para el Desarrollo Internacional (USAID) bajo los términos de su Acuerdo de Cooperación No. AID-523A-11-00001 (Proyecto de Reducción de Emisiones por la Deforestación y la Degradación de Bosques de México)implementado por el adjudicatario principal The Nature Conservancy y sus socios (Rainforest Alliance, WoodsHole Research Center y Espacios Naturales y Desarrollo Sustentable).Los contenidos y opiniones expresadas aquí son responsabilidad de sus autores y no reflejan lospuntos de vista del Proyecto de Reducción de Emisiones por la Deforestación y la Degradación de Bosques deMéxico y de la Agencia de los Estados Unidos para el Desarrollo Internacional, el Gobierno de los EstadosUnidos.”El presente estudio fue elaborado como contribución del Nombre de la organización en su participación con elproyecto México REDD ”.

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoTable of Contents.Acknowledgements . 5Executive Summary. 61.Introduction and Background. 131.1 Objective. 131.2 Outline of the Document . 131.3 Literature Review . 131.3.1 Community Based Monitoring . 131.3.2 Community Mapping and Participatory Geographic Information Systems (PGIS)161.3.2.1 Mobile GIS. . 171.3.3 On‐Line Collaborative Schemes. 171.3.4 CBM and Climate Change Mitigation . 181.3.4.1 Examples of CBM for Climate Change Mitigation in the Forestry Sector. . 192.REDD and CBM . 222.1 REDD . . 222.1.1 REDD in the Decisions of the Conference of the Parties of the UNFCCC. . 222.1.1.1 Opportunities for CBM in REDD . . 242.1.1.2 REDD in Mexico. . 272.2 Approach for Carbon Accounting and the Representation of Lands. . 272.2.1 Representation of Lands. . 282.2.2 Carbon Reservoirs. 282.2.3 Carbon Balance. . 292.2.4 Stock‐Change and Gain‐and‐Loss Methods. 302.3 LULUCF Mitigation Projects. . 322.4 CBM and the Different Elements within REDD . 342.4.1 Reduced Deforestation . 342.4.2 Reduced Degradation and Carbon Enhancements. 352.4.1 Sustainable Management of Forests and of other Lands. . 382.4.2 Conservation of Forest Carbon Stocks. 402.4.3 Other Aspects. . 412.4.3.1 Construction of Baselines. . 412.4.3.2 Understanding Drivers. . 412.4.3.3 Safeguards. . 423.CBM on the Ground. . 443.1 Measurement Options for CBM in the Context of REDD . 443.1.1 Initial Planning and Sampling. . 443.1.2 Gathering data to Evaluate Carbon Stocks and Stock Changes. . 453.1.2.1 Monitoring of Safeguards. . 523.1.2.2 Choice of Carbon Pools to Monitor . 533.1.2.3 Other Considerations. . 533.1.3 Producing Geographical Information through CBM. . 543.1.3.1 Basic Equipment for Data Collection and Quality of Information. 543.1.3.2 Map Accuracy . 553.1.3.3 Map Scale and Uncertainty . 553.1.3.4 Uncertainty Management. . 57

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in Mexico3.1.4 Linkage of Field Carbon Data with Remotely Sensed Data . 583.2 Data Management, Reliability, Risks of Manipulation and Integrity ofInformation. 583.3 Local Capacities for CBM. . 593.4 Costs of CBM. . 624.MRV for the national REDD programme in Mexico and the potential roleof CBM. . 654.1 REDD and the potential for CBM. . 654.1.1 Vision on REDD . 654.1.2 ENAREDD . . 664.1.3 Mexico‐Norway Project (MNP). 694.1.3.1 NGHGI. . 694.1.3.2 Potential for Tier 3 Approaches. . 704.1.3.3 Carbon Stock Change Factors (INFyS). . 704.1.3.4 Activity Data . 724.1.3.5 Implications for CBM. . 724.1.4 System for the Monitoring of Safeguards . 734.1.5 LAIF‐Project. . 754.1.5.1 Implementation of Pilot Activities. . 754.1.5.2 Incentives for Participation in CBM. 764.1.5.3 Preliminary Conclusions. . 774.1.5.4 Implications for CBM. . 784.2 Dovetailing Data from CBM into MRV Systems (local to national). . 794.3 Potential for integrating CBM into NFMS/MRV for REDD in Mexico . 835.Conclusions. . 906.References. . 937.Appendices . 997.1 GPS, error measurement and uncertainty. 997.2 Safeguards. . 997.3 Example. Combining national and local data. . 1014

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoAcknowledgementsThe author would like to acknowledge the contribution of Margaret Skutsch, AlejandraLarrazabal and Hugo de Alba in different sections of this document and to TuyeniMwampamba and Miguel Angel Salinas Melgoza of CIGA‐UNAM, Fernando Paz fromCOLPOS, and Peter Ellis and Jose Manuel Canto of TNC for their comments on earlyversions of the report. Likewise, this document has also benefited greatly from theinterviews made to, and comments received from, Jaime Severino, Noé Castellanos, AnaKarla Perea, Alejandra Aguilar, Sergio Armando Villela Gaytan and César Moreno García ofCONAFOR; José Ma. Michel Fuentes of the Mexico‐Norway Project; and to Noah JamesChutz and Sofia Magdalena García Sánchez of the LAIF project, to whom the author isindebted.Mexico, D.F., September 2013.Please cite this document as: Balderas Torres, A. 2013. Opportunities and challenges forintegrating CBM into MRV systems for REDD in Mexico. The Nature Conservancy.Consultancy Report, Mexico, D.F.5

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoExecutive SummaryCommunity based monitoring (CBM) can offer good options to engage local communitiesin the management of natural resources and to help generating the information necessaryfor REDD . New technologies are being used to create flexible and innovative on‐linesystems to monitor natural resources. It is necessary to create flexible options to make thebest use of these tools and include them into basic systems for the representation of landsand the system to generate carbon stock change factors in REDD .This work reviews different elements of the design and implementation of national REDD programmes in order to identify the opportunities and challenges for CBM as means forgeneration of information at the local level, particularly to fulfil requirements ofmonitoring, verification and reporting (MRV) and as part of National Forest MonitoringSystems (NFMS). The implementation of REDD in Mexico through the national strategyis used as a practical example. The document presents a review of the use of CBM followedby a description of REDD at the international level. Then methods and technologiesavailable for CBM are compared. This is followed by the narration of the maindevelopments for REDD implementation in Mexico to identify possible strategies tointegrate locally produce data into national MRV system. Finally, conclusions andopportunities and challenges for CBM are presented.Section 1 makes a literature review on CBM for natural resource monitoring andmanagement describing different types of monitoring schemes depending on the degree ofinvolvement of communities and external experts in different stages of the process basedon the typology by Danielsen et al. (2009). When monitoring is driven by local interests itis more plausible these activities will be maintained in the long term, conversely whenmonitoring is driven by external interests only, it can be expected that when externalincentives end, monitoring activities will also stop (Danielsen et al. 2005). It can also beexpected that if information is gathered, processed, interpreted and reported locally, thismight be more helpful for prompt decision‐making in natural resource management(Danielsen et al. 2009). Previous experiences have shown communities can produce fielddata for the estimation of carbon stocks and stock changes in forests; although it is moredifficult, it is also possible to create the capacities and provide the infrastructure requiredto analyse and process data locally.Section 2 initiates with the revision of the design of REDD under the UNFCCC. Decisionsadopted at the COP have identified the need to engage local communities and indigenousgroups in MRV for REDD (UNFCCC, 2010). Based on the general architecture expectedfor REDD , four different processes by which local information could be integrated intonational systems are identified: firstly, CBM can be used to increase the density of existingforest inventories through ad hoc schemes or as part of existing public programs (CBM 1);secondly, national systems could integrate information produced locally as part of forestmanagement activities motivated by the direct benefits communities receive fromimproved management (CBM 2); thirdly, refers to the information generated in projectsparticipating in carbon markets and other certification schemes (CBM 3); and finally, thefourth group of data would be that which can become part of the system to monitorsafeguards and data produced to describe other local environmental services.Section 2 continues by describing the general methods for carbon accounting and therepresentation of lands according to the IPCC methodologies. The text discusses thepotential to6

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in Mexicouse Stock‐Difference and Gain‐and‐Loss methods to evaluate the levels and changes ofspecific carbon reservoirs and the way in which they could be used to characterize specificmanaged areas and be integrated in the NFMS; when these two methods are based oncompatible statistical designs, they can provide comparable information of the differentcarbon stocks. This means that if communities generate information for a specificmanagement unit area only of one or two carbon reservoirs through particular methods,these still can be integrated into NFMS. Stock‐ Difference methods are more suitable tomonitor deforestation while Gain‐and‐Loss can help understanding better the processes ofdegradation and enhancement. Additionally, Gain‐and‐Loss methods can produceinformation more frequently for a given geographical area in comparison toStock‐Difference methods considering these require many years to produce estimates.Since there are no specific guidelines for the implementation of different REDD activities,the recommendations for LULUCF projects made in the IPCC (2003) are presented to offeran operative benchmark for REDD interventions. The way forward for implementationbased on this approach would be to produce protocols at project (regional or national) levelfor measurement, analysis and reporting and a set of indicators to be monitored at parcellevel for different management practices to be implemented. The final part of this sectiondescribes how CBM can contribute to produce de information for each REDD activity andto set baselines, understand drivers of emissions and implement safeguards.Section 3 provides a review of different techniques and methods that can be used in thefield to monitor the different carbon reservoirs and to produce geographical informationthrough participatory approaches. The comparison is made according to the equipmentrequired, the accuracy and reliability that can be obtained, the specific requirements andcosts of each option and the potential to meld local data with other data sources. There aredifferent technologies and methods that can reduce the time to gather data in the field (e.g.relascopic methods), or even eliminate it by using remote sensing technologies (e.g. LiDARusing small planes); these technologies can also provide and update information in realtime. However in some cases the cost of these new technologies is still high to beimplemented on small areas through CBM. Furthermore, it will be necessary that nationalMRV systems and NFMS specify the requirements for the generation and integration oflocal information gathered possibly different methods and technologies. Communities canstill use the cheapest and simplest methods to monitor their natural resources, however itis necessary to define if it is desired that this information should be compatible withnational systems in REDD .The next sections present the details to produce geographical information locally andidentify the achievable geographical scales, associated uncertainty, uncertaintymanagement and potential to combine field carbon data with remotely sensed data. Theinclusion of information produced through CBM requires the use of higher geographicalscales in the systems to represent forest areas and map carbon and emissions (e.g. higherthan 1:50,000). Otherwise, considering the relatively small size of most forest polygons orunits managed at local level, it might not be possible to represent areas in the maps or thepercentage uncertainty associated will be high. This is because of the uncertaintyintroduced by expected errors of field measurements, and the limits imposed by the largerminimum mappable areas when working at small geographical work scales (e.g.1:250,000). Section 3 concludes by describes the risks for the manipulation and theintegrity of data to discuss the role that verification should play in MRV systems. Finally,the section mentions the different capacities for CBM required at the local level and thegeneral costs of CBM.7

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoSection 4 describes the different steps undertaken in the preparation of REDD activitiesin Mexico as preamble to discuss the potential future inclusion of CBM into MRV systems.First the Vision on REDD (CONAFOR, 2010) and the preparation of the national REDD strategy (ENAREDD ; CONAFOR, 2012) are described. This is followed by the descriptionof three REDD related activities in development in Mexico: the Mexico‐Norway Project,where the relationship between the NFMS with the NGHGI, the potential use of Tier 3approaches, the generation of informationof carbon stock change factors andgeographical information are described; the second initiative corresponds to the first stepsundertaken for the development of a system for the implementation of safeguards; and thethird initiative corresponds to the LAIF project that explores the potential to producelocal capacities for CBM.Mexico has advanced in the definition of the ENAREDD and CBM is mentioned in boththe Vision and the national strategy in the context of MRV systems; however there are stillpractical steps that need to be undertaken. One of these, is for instance the formal adoptionof a definition of forests for REDD , this will allow identifying clearly which mitigationactivities could be implemented (and monitored) in forestland and in other land uses;mitigation activities off‐forest can be coordinated with SAGARPA in an appropriate NAMAbased on a landscape approach. The focus of the ENAREDD is on Sustainable RuralDevelopment with the critical participation of inter‐ municipal associations as newgovernance structures. In the preparedness stage for REDD , care has been taken of notfocusing on carbon and creating expectations on carbon performance based incentives, at amoment when financing and benefit sharing mechanisms have not been defined atinternational and national levels. There is work being done to up‐date periodically thesystem for the representation of lands and increase the geographical scale, to harmonisethe systems for preparing the NGHGI and the NFMS and to prepare methods, models andprotocols to produce information at Tier 3 level. In this context it will be necessary todefine how local information can be integrated and aggregated into regional and nationalsystems, and prepare the corresponding protocols for data gathering, analysis, revision,storage and reporting. This can help also to prepare a transparent system for benefitsharing. Mexico should have defined its MRV system within the next two years. The systemfor monitoring the implementation of safeguards is on its first steps of development; thereare examples in the existing legal framework that are aligned to the system to implementsafeguards. There is a pilot project in Jalisco for the development of a system to monitorsafeguards based on REDD SES, however it is still to define specific principles, criteriaand indicators for implementation.The LAIF project has been working in four communities in Jalisco to explore therequirements to create local capacities for CBM. The approach adopted by this project isthat monitoring practices should be locally relevant and respond to local interests; this isonline with the description of more autonomous monitoring systems as described inSection 1. Findings indicate communities can learn the techniques to monitor their forests,however there are also certain organisational requirements that might not be present in allcommunities; more advanced skills for analysis and reporting can also be generated locallybut this will require more initial resources. When monitoring is driven by local interests itis important to evaluate the impact on carbon in the long term; if communities recognizethe need to mitigate climate change as a legitimate local interest this might helpimplementing activities with positive impacts on carbon. However it is necessary tomaintain effective communication with communities regarding carbon monitoring andreporting requirements once local monitoring capacities have been developed. A pendingactivity is the engagement with private forest landowners for the development of CBM8

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoThe final parts of section 4 describe different scenarios in which both carbon andgeographical local information could be merged into regional and national accountingsystems in Mexico. Given the small scale of the information used to estimate forest carbonemissions and removals in Mexico (e.g. 1:250,000), these estimates do not representproperly carbon dynamics at the local or management unit level, moreover it will bedifficult for existing systems alone to pick up the impact of mitigation activities to beimplemented as part of REDD at the management level. Currently information reportedin the most recent NGHGI does not include all carbon reservoirs and is based oninternational Tier 1 default values; the information used for NFMS to produce Tier 2 datadoes not include yet information on all carbon reservoirs. In this context CBM data canhelp to replace lower tier data and fill in data of missing carbon reservoirs for specificmanagement units, however the scale at which information is represented should increase.The integration of CBM data would require the definition of specific geographical areas ormanagement units where data is gathered, which will require a dynamic system for therepresentation of lands. Then the information of existing inventories within these polygonsand/or the information of carbon stocks and stock changes gathered through CBM can beused to obtain the estimates in these managed areas. In this context a new criteria forstratification will be the management practices present in a given forest polygon which canhelp to explore the variances in canopy cover and carbon stocks within vegetation types(e.g. community forest management, forest management plans, PES, natural protectedarea, etc.). Once geographical areas under specific local management/monitoring aredefined in the system for representation of lands, specific information on carbon content,emissions and/or removals and their associated uncertainties can be updated. After this,estimates of carbon stocks, emissions and/or removals can be recalculated for an area ofinterest or the whole inventory. The final part of Section 4 presents a description of howinformation that can be produced through the four different CBM schemes identified inSection 1 can be integrated into the different stages of collaborative systems for themanagement of natural resources (i.e. data gathering, data communication and storage,analysis/modelling and validation, and publication and use).Currently, in Mexico governmental offices aided with external consultants centralise thegeneration, analysis and use of information from forest inventories and the system for therepresentation of lands. On‐going efforts have been careful in not creating yet expectationsfor carbon based results financing. However if the objective is to access to internationalresults based financing it would be necessary to communicate clearly to the differentstakeholders that there will be a baseline and that certain national, regional and localobjectives will need to be achieved. In this context it will be necessary to define specificallyhow CBM will be integrated into MRV for REDD ; this will require defining protocols,roles and responsibilities of different actors and stakeholders and technical specificationsfor equipment and models to be used. Protocols required include those to define variablesto be monitored, fieldwork methods, specifications for the design of monitoring schemes,and for the analysis, reporting and validation of information. Information produced locallywould feed the systems to determine carbon stock change factors and the system for therepresentation of lands. It will be necessary to prepare flexible interphases to allow theintegration of local information into these systems. The Activity Reporting System couldmake use of information generated already available as part of local land use plans, andother programs to refine the stratification of the territory (e.g. PES, NPAs, communityforestry, forest management plans, etc.).9

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in MexicoIf the objective is to create long standing monitoring systems useful for communities, thentechnical and organisational capacities need to be created and initial training andinfrastructure needs to be provided. These type of schemes will correspond to the type ofmodel promoted by the project LAIF and the CBM 2 type of schemes. However when directuse of forest resources is not allowed and the local valuation of other environmental is nothigh, it might be necessary to provide external incentives to gather the information (thiswill correspond to CBM 1 type of schemes); for schemes of CBM 1, information willcontinue to be managed centrally. In the cases when local actors own information that canbe integrated into the systems (CBM 2 and CBM 3) it will be necessary to generate theappropriate agreements to validate and share this information. It will also be necessary toharmonise the baseline of projects participating in carbon markets to that of REDD .Section 5 presents a summary of the opportunities and challenges identified for theinclusion of CBM into MRV systems for REDD in Mexico (Table ES1).Table ES1.Summary of the most relevant opportunities and challenges identified in this document.Opportunities10Challenges

ALIANZA MÉXICO PARA LA REDUCCIÓN DE EMISIONES POR DEFORESTACIÓN Y DEGRADACIÓNWhite Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in Mexico There is a need to integrate CBM into MRVsystems as expressed in decisions adopted atthe COP. Communities and local actors can producefield measurements as accurate asprofessional brigades. Unlike INFYS, CBM cancover both forest and non‐forestland. Participation of private landowners inmonitoring schemes has potential benefitsthat need to be explored (e.g. expeditedecision‐making, low

White Paper: Opportunities and challenges for integrating CBM into MRV systems for REDD in Mexico use Stock‐Difference and Gain‐and‐Loss methods to evaluate the levels and changes of specific carbon reservoirs and the way in which they could be used to characterize specific managed areas and be integrated in the NFMS; when these two .

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