TREES AND FORESTS IN DRYLANDS: THE FIRST GLOBAL ASSESSMENT

UNCCD COP 12 Advances in Tree Cover Mapping and Monitoring for Restoration

12-22 October 2015, Ankara Turkey

Nora Berrahmouni and Danilo Mollicone, FAO Forestry Department

FAO Monitoring and Reporting tool for FLR

The Rome Promise –Monitoring and Assessment in Drylands for their Sustainable Management and Restoration

Open Foris the Collect Earth framework

The first Global Drylands Assessment

What has been done

Preliminary raw data analysis

Way forward

OUTLINE

MONITORING AND REPORTING TOOL FOR FOREST AND LANDSCAPE RESTORATION

Why the tool?

Comprehensive Reporting on FLR initiatives in countries and worldwide;

Monitoring progress and impacts of such initiatives

Capturing case studies and lessons learned

Supporting users in the design of their projects

• SECTION I: GENERAL INFORMATION• Location, extent, timeframe, stakeholders

• SECTION II: AREA DESCRIPTION• Biophysical features including ecological features before the restoration actions; socio-Economic features; causes

of degradation in the restoration area

• SECTION III: RESTORATION OBJECTIVES• Objectives and scope of the initiative

• SECTION IV: SUPPORTIVE POLICY AND GOVERNANCE FRAMEWORK• Policy & Legislation context; stakeholders and type of involvement in the initiative

• SECTION V: RESTORATION STRATEGY ADOPTED, PLANNING AND IMPLEMENTATION• Type and description of the restoration intervention: assisted natural regeneration, soil and water conservation,

seeding/planting

• SECTION VI: MONITORING• Monitoring plan, Baseline, monitoring actions and stakeholders

• SECTION VII: RESULTS & SUSTAINABILITY• Results of restoration objectives & outcomes, Results/ impacts of field actions, capacity development, human-

well being, policies, environment and sustainability

• SECTION VIII: FURTHER SOURCES OF INFORMATION (maps, documents, photos…)

MONITORING AND REPORTING TOOL FOR FOREST AND LANDSCAPE RESTORATION

THE ROME PROMISE

Participants of the Drylands Monitoring Week agreed to:

1. Form an open-ended collaborative network or community of practice to advance monitoring and assessment of drylands, including understanding of their users;

2. Communicate the value and importance of drylands monitoring to relevant stakeholders, including policy makers and resource partners;

3. Develop a dynamic roadmap for collaborative action.

Rome on the 23rd Day of January 2015

ROME PROMISE - ROAD MAP– To communicate to and engage with other

partners (relevant organizations and stakeholders)

– Develop a mechanism to compile and share tools and information on drylands monitoring which are already available

– Produce a collective product on the status of drylands including forests but also agroforestry systems, rangelands, agriculture and so on

– Develop a customization of the Collect Earth tool developed by FAO to be used within the context of the Great Green Wall, other national, regional and global initiatives in drylands

The assessment is carried out in the framework of the Global Forest Survey project;

It is an activity carried out in collaboration with the FAO’s Action Against Desertification project partners;

The assessment using the Open Foris Collect Earth tool collected data from approximately 200,000 sampling points located in drylands.

THE ROME PROMISE THE FIRST GLOBAL DRYLANDS ASSESSMENT

OPEN FORIS INITIATIVE

http://www.openforis.org

Collect Earth is a tool that enables data collection through Google Earth. In conjunction with Google Earth, Bing Maps, Here Maps and Google Earth Engine, users can analyse high and very high resolution satellite imagery for a wide variety of purposes.

COLLECT EARTH - FRAMEWORK

QGIS

Collect Earth CSV export

Data analysis

VHR imagery

Single-user database

Multi-user database

Collect Survey Designer

VHR imagery

Statisticalanalysis

COLLECT EARTH INTERFACE

Google Earth Bing Maps

• Access to free, very high resolution imagery

• Full integration with Saiku, for mining data and generating charts and other graphics

Google Earth Engine

Saiku

3D GIS for point-based, LULUCF sampling Geo-link with multiple image repositories Multi-temporal analysis with 40 years of Landsat data

Fast, intuitive and flexible data analysisTrend visualization with vegetation indices

Google Earth Engine API

TOOLS OVERVIEW

DRYLAND GLOBAL ASSESSMENT

DRYLANDS SAMPLING ASSESSMENT

A multi-phase sampling design approach has been developed to select the field sampling sites

As first phase a visual interpretation process has been conducted through Open Foris Collect Earth tools

The number of plots for each region to assess has been calculated on the relative sampling density among each aridity zones

The minimum outputs expected from the assessment is the total number of trees in dryland, total number of shrubs, total number linear vegetation, length, density and cover percentage to monitor land use, land use change, desertification and greening trend and other biophysical indicators

All the data collected will be freely available and downloadable through the GFS data portal

Southern Africa by La Sapienza University of Rome

West South America by Argentina IADIZA Institute

East South America by Brazil INSA Institute

North America by US Forest Service

Central Asia by Kyrgyzstan Department of Forest and Hunting Inventory

Horn of Africa by WRI

South Asia by University of Leeds

Sahel region by Agrhymet, Niger

North Africa by Tunis University and Government

Europe and Russia by University of Madrid

Middle East by International Forest Fire Education Centre of Turkey Terrestrial

Ecosystem Research Network

REGIONAL PARTNERS

WHAT HAS BEEN DONE ON DRYLANDS

Dataset collected: 182,671 Full dataset : 213,902

PRELIMINARY ANALYSIS

Tree

Land class 2% 4% 6% 8% 10-19% 20-29% 30-39% 40-49% 50-59% 60-69% 70-79% 80-89% 90-100%

Plot Count

Forest 16 36 45 94 4,267 3,772 2,504 2,105 1,820 2,009 1,680 2,974 14,446

Shrubland 1,237 1,471 1,349 1,888 1,337 339 138 81 41 26 23 43 40

Grassland 1,709 1,420 1,273 1,638 1,536 383 171 66 23 18 6 9 23

Settlement 122 133 126 180 388 162 83 38 24 15 6 5 2

Cropland 1,675 1,366 1,202 1,200 2,124 832 542 392 215 154 68 56 59

wetland 70 82 66 86 113 50 19 18 10 6 4 2 20

Other 571 421 309 225 284 80 40 22 16 8 1 4 12

Distribution of tree cover according to different Land class

TreeAridity zones 2% 4% 6% 8% 10-19% 20-29% 30-39% 40-49% 50-59% 60-69% 70-79% 80-89% 90-100%

Plot Count

Hyperarid 114 73 55 48 77 36 50 38 17 12 6 5 3

Arid 930 804 579 670 1,056 448 259 219 139 87 49 62 100

Semiarid 2,900 2,681 2,457 2,806 5,426 2,868 1,817 1,264 972 997 760 1,304 4,956

Dry subhumid 1,457 1,377 1,268 1,786 3,494 2,265 1,362 1,202 1,018 1,139 970 1,719 9,532

Distribution of tree cover according to aridity zones

Distribution of area by Land Use Category according to IPCC

Land Use Area (HA)

Forest 564,925,438

Cropland 565,870,269

Otherland 1,959,466,799

Grassland 1,078,812,760

Wetland 73,074,481

Settlement 46,391,398

No data 11,129,590

total 4,299,670,735

13%

13%

46%

25%

2%1%

0%

ForestCroplandOtherlandGrasslandWetlandSettlementNo data

3%7%

61%

27%

1%

1%0%

Arid

17%

20%

21%

39%

2%

1%0%

Semiarid

39%

25%

6%

24%

2%

2%1%

Dry subhumid

0%2%

93%

4%1%

0%

0%

Hyperarid

WAY FORWARD

Completion of North America and Oceania Drylands assessment by December 2015

Release of the report early next year (2016)

Continuing capacity development for Dryland monitoring

Field data collection and field verification starting May 2016

2017 second Global Dryland assessment

THANKS FOR YOUR

ATTENTION !