Global Forest Resources Assessment (FRA) 2020 South Sudan - … · 2020. 7. 16. · FRA 2020...

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Report South Sudan Rome, 2020

Transcript of Global Forest Resources Assessment (FRA) 2020 South Sudan - … · 2020. 7. 16. · FRA 2020...

Page 1: Global Forest Resources Assessment (FRA) 2020 South Sudan - … · 2020. 7. 16. · FRA 2020 report, South Sudan 5 1 Forest extent, characteristics and changes 1a Extent of forest

Report

South Sudan

Rome, 2020

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FAO has been monitoring the world's forests at 5 to 10 year intervals since 1946. The Global Forest Resources Assessments (FRA) are now produced every five years in an attempt to provide a consistent approach todescribing the world's forests and how they are changing. The FRA is a country-driven process and the assessments are based on reports prepared by officially nominated National Correspondents. If a report is notavailable, the FRA Secretariat prepares a desk study using earlier reports, existing information and/or remote sensing based analysis.

This document was generated automatically using the report made available as a contribution to the FAO Global Forest Resources Assessment 2020, and submitted to FAO as an official government document. Thecontent and the views expressed in this report are the responsibility of the entity submitting the report to FAO. FAO cannot be held responsible for any use made of the information contained in this document.

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TABLE OF CONTENTS

Introduction

1. Forest extent, characteristics and changes

2. Forest growing stock, biomass and carbon

3. Forest designation and management

4. Forest ownership and management rights

5. Forest disturbances

6. Forest policy and legislation

7. Employment, education and NWFP

8. Sustainable Development Goal 15

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IntroductionReport preparation and contact personsThe present report was prepared by the following person(s)

Name Role Email Tables

Introductory textPlace an introductory text on the content of this report

Justin Igu Alternate national correspondent [email protected] All

Simon Dralley Nimaya National correspondent [email protected] All

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1 Forest extent, characteristics and changes1a Extent of forest and other wooded landNational data

Data sources

Classifications and definitions

Original data and reclassification

2013

References

Methods used

Additional comments

National remote sensing assessment part of FRA 2015 http://foris.fao.org/meetings/download/_2013/south_sudan_fra_2015_national_remote_sensing_works/misc_documents/ssd_technical_report_forest_2013.pdf

Full-cover forest/vegetation maps

2013

National class Definition

Forest Same as FRA

Other wooded land Same as FRA

2013

Classifications and definitions FRA classes

Class Area (1000 ha) Forest Other wooded land Other land

Forest

Other wooded land

Total

7 157.00 100.00 % % %

32 582.00 % 100.00 % %

39 739.00 7 157.00 32 582.00 0.00

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Forest Other wooded land1000 ha

0

5 000

10 000

15 000

20 000

25 000

30 000

1990 1995 2000 2005 2010 2015 2020

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CommentsOnly the 2013 estimate is available, no other data can support making any change estimates.

FRA categoriesArea (1000 ha)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Forest (a)

Other wooded land (a)

Other land (c-a-b)

Total land area (c)

The FAOSTAT land area figurefor the year 2015 is used for allreference years

7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00

32 582.00 32 582.00 32 582.00 32 582.00 32 582.00 32 582.00 32 582.00 32 582.00 32 582.00

23 434.00 23 434.00 23 434.00 23 434.00 23 434.00 23 434.00 23 434.00 23 434.00 23 434.00

63 173.00 63 173.00 63 173.00 63 173.00 63 173.00 63 173.00 63 173.00 63 173.00 63 173.00

Climatic domain % of forest area 2015 Override value

Boreal

Temperate

Sub-tropical

Tropical

0.00

0.00

0.00

100.00

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1b Forest characteristicsNational Data

Data sources + type of data source eg NFI, etcSouth Sudan presentation onf Forest Management and Climate Change Workshop, Tanzania, December 2016

National classification and definitions-

Original dataThere are sixty eight (68) plantations of mainly Tectona grandis(teak) & few other exotic tree species, covering up to 187,900 hectares

Analysis and processing of national data

Estimation and forecastingNo time series data available. The same figure has been used for all years.

Reclassification into FRA 2020 categories-

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Naturally regenerating forest Plantation forest Other planted forest1000 ha

0

1 000

2 000

3 000

4 000

5 000

6 000

1990 1995 2000 2005 2010 2015 2020

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Comments

FRA categoriesForest area (1000 ha)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Naturally regenerating forest(a)

Planted forest (b)

Plantation forest

…of which introduced species

Other planted forest

Total (a+b)

Total forest area

6 969.10 6 969.10 6 969.10 6 969.10 6 969.10 6 969.10 6 969.10 6 969.10 6 969.10

187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90

187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90

187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90 187.90

0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00

7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00

7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00 7 157.00

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1c Primary forest and special forest categoriesNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha)

1990 2000 2010 2015 2020

Primary forest

Temporarily unstocked and/orrecently regenerated

Bamboos

Mangroves

Rubber wood

0.00 0.00 0.00 0.00 0.00

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1d Annual forest expansion, deforestation and net changeNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha/year)

1990-2000 2000-2010 2010-2015 2015-2020

Forest expansion (a)

…of which afforestation

…of which natural expansion

Deforestation (b)

Forest area net change (a-b) 0.00 0.00 0.00 0.00

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1e Annual reforestationNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha/year)

1990-2000 2000-2010 2010-2015 2015-2020

Reforestation

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1f Other land with tree coverNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha)

1990 2000 2010 2015 2020

Palms (a)

Tree orchards (b)

Agroforestry (c)

Trees in urban settings (d)

Other (specify in comments)(e)

Total (a+b+c+d+e)

Other land area

− − − − −

23 434.00 23 434.00 23 434.00 23 434.00 23 434.00

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2 Forest growing stock, biomass and carbon2a Growing stockNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesGrowing stock m³/ha (over bark)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Naturally regenerating forest

Planted forest

…of which plantation forest

…of which other planted forest

Forest

Other wooded land

FRA categoriesTotal growing stock (million m³ over bark)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Naturally regenerating forest

Planted forest

…of which plantation forest

…of which other planted forest

Forest

Other wooded land

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2b Growing stock compositionNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categories Scientific name Common nameGrowing stock in forest (million m³ over bark)

1990 2000 2010 2015 2020

Native tree species

#1 Ranked in terms of volume

#2 Ranked in terms of volume

#3 Ranked in terms of volume

#4 Ranked in terms of volume

#5 Ranked in terms of volume

#6 Ranked in terms of volume

#7 Ranked in terms of volume

#8 Ranked in terms of volume

#9 Ranked in terms of volume

#10 Ranked in terms ofvolume

Remaining native tree species

Total volume of native tree species

Introduced tree species

#1 Ranked in terms of volume

#2 Ranked in terms of volume

#3 Ranked in terms of volume

#4 Ranked in terms of volume

#5 Ranked in terms of volume

Remaining introduced tree species

Total volume of introduced tree species

Total growing stock

− − − − −

− − − − −

− − − − −

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2c Biomass stockNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesForest biomass (tonnes/ha)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Above-ground biomass

Below-ground biomass

Dead wood

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2d Carbon stockNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesForest carbon (tonnes/ha)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Carbon in above-groundbiomass

Carbon in below-groundbiomass

Carbon in dead wood

Carbon in litter

Soil carbon

Soil depth (cm) used for soilcarbon estimates

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3 Forest designation and management3a Designated management objectiveNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Primary designated management objective

Total area with designated management objective

Comments

FRA 2020 categoriesForest area (1000 ha)

1990 2000 2010 2015 2020

Production (a)

Protection of soil and water (b)

Conservation of biodiversity(c)

Social Services (d)

Multiple use (e)

Other (specify in comments) (f)

None/unknown (g)

Total forest area

7 157.00 7 157.00 7 157.00 7 157.00 7 157.00

7 157.00 7 157.00 7 157.00 7 157.00 7 157.00

FRA 2020 categoriesForest area (1000 ha)

1990 2000 2010 2015 2020

Production

Protection of soil and water

Conservation of biodiversity

Social Services

Other (specify in comments)

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3b Forest area within protected areas and forest area with long-term management plansNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha)

1990 2000 2010 2015 2016 2017 2018 2019 2020

Forest area within protectedareas

Forest area with long-termforest management plan

…of which in protected areas

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4 Forest ownership and management rights4a Forest ownershipNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesForest area (1000 ha)

1990 2000 2010 2015

Private ownership (a)

…of which owned byindividuals

…of which owned by privatebusiness entities andinstitutions

…of which owned by local,tribal and indigenouscommunities

Public ownership (b)

Unknown/other (specify incomments) (c)

Total forest area

− − − −

7 157.00 7 157.00 7 157.00 7 157.00

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4b Holder of management rights of public forestsNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesForest area (1000 ha)

1990 2000 2010 2015

Public Administration (a)

Individuals (b)

Private business entities andinstitutions (c)

Local, tribal and indigenouscommunities (d)

Unknown/other (specify incomments) (e)

Total public ownership

− − − −

− − − −

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5 Forest disturbances5a DisturbancesNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha)

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Insects (a)

Diseases (b)

Severe weather events (c)

Other (specify in comments)(d)

Total (a+b+c+d)

Total forest area

− − − − − − − − − − − − − − − − − −

7 157.00 − − − − − − − − − 7 157.00 − − 7 157.00 − 7 157.00 7 157.00 7 157.00

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5b Area affected by fireNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

Analysis and processing of national data

Estimation and forecasting-

Reclassification into FRA 2020 categories-

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Comments

FRA categoriesArea (1000 ha)

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017

Total land area affected by fire

…of which on forest

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5c Degraded forest

Comments

Does your country monitor area of degraded forest

If "yes"

What is the national definitionof "Degraded forest"?

Describe the monitoringprocess and results

No

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6 Forest policy and legislation6a Policies, Legislation and national platform for stakeholder participation in forest policyNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

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Comments

Indicate the existence ofBoolean (Yes/No)

National Sub-national

Policies supporting SFM

Legislations and regulationssupporting SFM

Platform that promotes orallows for stakeholderparticipation in forest policydevelopment

Traceability system(s) forwood products

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6b Area of permanent forest estateNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

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Comments

FRA 2020 categoriesForest area (1000 ha)

Applicable? 1990 2000 2010 2015 2020

Area of permanent forestestate

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7 Employment, education and NWFP7a Employment in forestry and loggingNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

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Comments

FRA 2020 categories

Full-time equivalents (1000 FTE)

1990 2000 2010 2015

Total Female Male Total Female Male Total Female Male Total Female Male

Employment in forestry andlogging

…of which silviculture andother forestry activities

…of which logging

…of which gathering of nonwood forest products

…of which support services toforestry

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7b Graduation of students in forest-related educationNational Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

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Comments

FRA 2020 categories

Number of graduated students

1990 2000 2010 2015

Total Female Male Total Female Male Total Female Male Total Female Male

Doctoral degree

Master’s degree

Bachelor’s degree

Technician certificate /diploma

Total

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7c Non wood forest products removals and value 2015National Data

Data sources + type of data source eg NFI, etc-

National classification and definitions-

Original data-

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Comments

Name of NWFP product Key species Quantity Unit Value (1000 local currency) NWFP category

#1

#2

#3

#4

#5

#6

#7

#8

#9

#10

All other plant products

All other animal products

Total −

Name of currency

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8 Sustainable Development Goal 158a Sustainable Development Goal 15SDG Indicator 15.1.1 Forest area as proportion of total land area 2015

SDG Indicator 15.2.1 Progress towards sustainable forest management

IndicatorPercent

2000 2010 2015 2016 2017 2018 2019 2020

Forest area as proportion oftotal land area 2015

11.33 11.33 11.33 11.33 11.33 11.33 11.33 11.33

Name of agency responsible

Sub-Indicator 1Percent

2000-2010 2010-2015 2015-2016 2016-2017 2017-2018 2018-2019 2019-2020

Forest area annual net changerate

0.00 0.00 0.00 0.00 0.00 0.00 0.00

Name of agency responsible

Sub-Indicator 2Forest biomass (tonnes/ha)

2000 2010 2015 2016 2017 2018 2019 2020

Above-ground biomass stockin forest

− − − − − − − −

Name of agency responsible

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Sub-Indicator 3Percent (2015 forest area baseline)

2000 2010 2015 2016 2017 2018 2019 2020

Proportion of forest arealocated within legallyestablished protected areas

− − − − − − − −

Name of agency responsible

Sub-Indicator 4Percent (2015 forest area baseline)

2000 2010 2015 2016 2017 2018 2019 2020

Proportion of forest area underlong-term forest managementplan

− − − − − − − −

Name of agency responsible

Sub-Indicator 5Forest area (1000 ha)

2000 2010 2015 2016 2017 2018 2019 2020

Forest area underindependently verified forestmanagement certificationschemes

0.00 0.00 0.00 0.00 0.00 0.00 − −