National Forest Monitoring System México GFOI Capacity Building Summit Sept 2014.

National Forest Monitoring System México

GFOI Capacity Building Summit

Sept 2014

Specifications

Elements of NFMS system

Elements IPCC

ContextEmission and removals from forests

IPCC basic method

Activity Dataland representation

Satellite Forest Monitoring system

Emission Factors C stock changes

National Forest Inventory

Emission estimatesGHG emissions and

removals

National GHGs Inventory

FRA 2015

(BUR, 2014)

6th National Comunication (2016)

X =

NFI (2004-2007 y 2009-2013)

IEF (2013-2014)

350 Allometric models

Series USV INEGI 1:250,000

Landsat 1:100,000

Rapid Eye 1:20,000

Remote Sensing Operational System

DESIGN CALIBRATION

LANDSAT 2000

ADJUSTMENT

ACURACY ASEESMENT

Landsat

SCALE 1:100.000

1993 1995 2000 2005 2010 2015 2020

RapidEye

SCALE 1:20.000

20122013

1997 2003 2008

2011

Forest Land

Agriculture

Grassland

Wetland

Settlement Other Land

Bosques

Selvas

Asentamientos Otras tierras

Acuícola

Agua

Agricultura anual

Matorral xerófilo

Vegetación hidrófila

Especial otros tipos Pastizal

Agricultura permanente

COHERENT REPRESENTATION OF LAND

Change matrix

NATIONAL FOREST INVENTORY( INFyS )

• Spacial

• Systematic

• Temporal

Grid of km | 5x5 | 10x10 | 20x20 |

Muestreo: 2004-2007Re muestreo: 2009 – 2013 (2014)

UMP = 26, 220Sitos = 81, 665

INFyS 2004-2007

1’ 171, 506 trees (2004-2007)

976,738 trees (2009-2012)

QA/QC taxonomic and dasometric of NFI

Assignation of the best allometric model

Stratification based on satellite images

Ppulation parameters

t2-t1

Standardized data

Biomass / tree

Stratification based on uncertainty

National forest carbon and change

per strata

Standarized protcol

Population parameterst1 and t2

EF / Carbon per strata

Biomass / SMU (plot)

Biomass

Model for sp

Model for genus

Model for vegetation types

Geografic proximity

(Ecorregión)Similar DBH range Sample size

(n)

Start A

A

A

Higher determination

coefficient(R2)

B

INEGI vegetation

B

FinalC

B

C

Densidad de Madera

Transicion Status EF used

Tierra Forestal a Tierra Forestal Permanencia tierra forestal

Factor de absorción de tierras forestales que permanece como tierra forestales

Tierra forestal a tierra forestal (diferente grupo de vegetación)

Permanencia tierra forestal

Factor de absorción de la tierra forestal final que permanece como tierra forestal

Tierra forestal primaria a tierra forestal secundaria

Degradación Factor de emisión de la tierra forestal primaria

Tierra forestal secundaria a tierra forestal primaria

Recuperación Factor de absorción de la tierra forestal final

Otros usos a tierra forestal Reforestación Factor de absorción de la tierra forestal final Tierras forestales a praderas Deforestación Factor de emisión (almacén de carbono) de la tierra

forestal inicial Tierra forestal a otros usos Deforestación Factor de emisión (almacén de carbono) de la tierra

forestal inicial Pradera a pradera Permanencia praderas Se asigna el factor de absorción de pradera que

permanece como praderaPradera a pradera (diferente grupo de vegetación)

Permanencia praderas Se asigna el factor de absorción de pradera final que permanece como pradera

Otros usos a pradera Recuperación pradera Se asigna el factor de absorción de pradera

Pradera a otras tierras Pérdida pradera Factor de emisión (almacén de carbono) de la pradera inicial

Criteria to asign EF

Forest land remaining forest land Absorption Factor

Initial land use Final land use Area FE Biomass live (T-CO2/ha/año) Root

Permanence

Bosque de Coniferas Primario

Bosque de Coniferas Primario

12,490,215.00 0.43 0.09

Bosque de Coniferas

Secundario

Bosque de Coniferas

Secundario 2,519,168.00 0.30 0.07

Bosque de Encino

Primario Bosque de Encino

Primario

10,227,360.00 0.46 0.12

Bosque de Encino

Secundario Bosque de Encino

Secundario 3,489,921.00 0.48 0.12

Bosque Mesofilo de Montana

Primario

Bosque Mesofilo de Montana

Primario 1,100,315.00 1.46 0.34

Bosque Mesofilo de Montana Secundario

Bosque Mesofilo de Montana Secundario 410,039.00 0.30 0.07

Forest land to other use Carbon / ha INITIAL LAND USE FINAL LAND USE Area 9 years

FE Live biomass Root

Tierra Forestal / Pradera Otro Uso Ha Ha/year Ton/C/ha Ton/C/ha DEFORESTACION Bosque de Coniferas Primario Agrícola Anual 215,498.00 23,944.22 33.6 7.9 Bosque de Coniferas Primario Agrícola Permanente 11,636.00 1,292.89 33.6 7.9

Bosque de Coniferas Secundario Agrícola Anual 82,224.00 9,136.00 22.1 5.3

Bosque de Coniferas Secundario Agrícola Permanente 1,688.00 187.56 22.1 5.3

Bosque de Encino Primario Agrícola Anual 108,493.00 12,054.78 20.6 5.5 Bosque de Encino Primario Agrícola Permanente 1,150.00 127.78 20.6 5.5 Bosque de Encino Secundario Agrícola Anual 77,924.00 8,658.22 14.6 3.9 Bosque de Encino Secundario Agrícola Permanente 901.00 100.11 14.6 3.9

Bosque Mesofilo de Montana Primario Agrícola Anual 22,086.00 2,454.00 37.7 9.4

Different data bases(Basic- dinamic etc.)

Processing unit

Compilation and distribution

NFI, State forest inventory …

Emission Factors

Carbon assessment (plot)EF / Class

(reporting)

Remote sensing, forest cover, change maps, activity map…

Maps

Allometric equations

Land Cover map

Reports

Challenges

• Asses carbon from other pools (DOM, Soil, etc.) from NFI

• Integration of information from disturbances (degradation)

• Degradation (forest cover)• Using MAD-Mex information (including forest cover

change).• Labeling changes (deforestation, degradation,

phenollogical)

Challenges

Cooperation• Workshops to share progress and challenges (let

countries to speak)• Identify specific needs in each country• Technical visit for exchange and feedback with

experienced persons.

Ongoing

Natural Resources Canada

• To use and spread information and methodological framework used

• Advise from third parties (external)• Improvement in the integration of components

(institutionalization)• Analytic capacities more than technological• Management of big databases (dynamic)• Developing robust tools useful for governmental

institutions

Inmediate needs

• Based in country gaps

• Based on a master plan

• Including activities and budget

• Implementing bilateral cooperation with international support

Future

[email protected]

[email protected]

www.mrv.mx