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Jurisdictional-scale carbon accounting: evaluating options
The role of existing maps, data and
webtools.
Fred Stolle, Andika Putraditama, Anne Rosenbarger, Cecilia Song, Andhyta Utami
World Resources Institute 1
Jurisdictional Approaches to Green Development
This presentation - Message - To build MR(V) from scratch is expensive it takes time, time we do
not have…… it might not be necessary
- Tree-cover loss/gain, annual, carbon, fires, much data exist already ……. build on it, don’t reinvent it
- Current global datasets are globally consistent and locally relevant….. They can be used over a range of scales before they breakdown
- No data is 100% right….. but it never will
- Countries/regions/districts working on improving data…… have a reference point a dataset to validate , to improve
2
Global Forest Watch
3
Carbon Biodiversity
NASA Ames Research
Center
Photo: REUTERS / Nacho Doce
Forest Information Challenges
Not timely
Not spatially explicit
Not interactive
Not consistent and comparable
Not accessible
Not actionable – REL, annaul, carbon
Bring together in actionable format
6
Cambodia Tree cover Change 2000-2012: 1.2 million ha
8
9
10
Tree-cover Change Cambodia
0
50,000
100,000
150,000
200,000
250,000
300,000
2006 2007 2008 2009 2010 2011 2012 2013
Tree-cover change 2000-2012 Cambodia Provinces
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
Provinces annual change
0
2,000
4,000
6,000
2000 2005 2010 2015
BÂNTÉAY_MÉANCHEY
0
20,000
40,000
60,000
2000 2005 2010 2015
BATDÂMBÂNG
0
5,000
10,000
15,000
2000 2005 2010 2015
KÂMPÓNG_CHAM
02,0004,0006,0008,000
10,000
2000 2005 2010 2015
KÂMPÓNG_SPŒ
0
500
1,000
1,500
2000 2005 2010 2015
KÂMPÓNG_CHHNANG
0
10,000
20,000
30,000
40,000
2000 2005 2010 2015
KÂMPÓNG_THUM
0
2,000
4,000
6,000
2000 2005 2010 2015
KÂMPÔT
0
200
400
600
2000 2005 2010 2015
KÂNDAL
0
5,000
10,000
15,000
2000 2005 2010 2015
KAÔH_KONG
0
20,000
40,000
60,000
2000 2005 2010 2015
KRÂCHÉH
0
5,000
10,000
2000 2005 2010 2015
KRONG_PAILIN
0
2,000
4,000
2000 2005 2010 2015
KRONG_PREAH_SIHANOUK
01,0002,0003,0004,0005,000
2000 2010 2020
MÔNDÓL_KIRI
0
20,000
2000 2005 2010 20
OTDAR_MEAN_CHEY
02,0004,0006,0008,000
10,00012,000
2000 2005 2010 20
POUTHISAT
0
5,000
10,000
2000 2005 2010 201
PREAH_VIHÉAR
Avg PLot Size of Tree cover Change - Cambodia Provinces
0.00
0.20
0.40
0.60
0.80
1.00
1.20
1.40
2000 2002 2004 2006 2008 2010 2012 2014
Data sets
15
16
17
18
Constantly improving
19
•Better data •Country relevant data •More data
•Specialized apps
Acquisition Strategy
Incorporate publicly available data (e.g. FAO Land Cover Data)
Build relationships through partnerships to move data into public domain (e.g. RSPO)
Finance the creation of new datasets to fill key data gaps (e.g. IFL 2010)
20
Logging Malaysia, Liberia, Indonesia, Cambodia Mining Sierra Leone Timber Malaysia, Liberia, Indonesia, Cambodia Oil palm Cameroon *Goal: concession data for all countries NEW: Planted area. Transparent World Malaysia, Liberia, Colombia, Indonesia, Brazil. *Goal: global coverage ***Commissioned by WRI, Public data, Partnerships, ***
DATA PIPELINE | Forest Use
21
Global Forest Watch
22
Carbon Biodiversity
23
This presentation - Message - To build MR(V) from scratch is expensive it takes time, time we do
not have…… it might not be necessary
- Tree-cover loss/gain, annual, carbon, fires, much data exist already ……. build on it, don’t reinvent it
- Current global datasets are globally consistent and locally relevant….. They can be used over a range of scales before they breakdown
- No data is 100% right….. but it never will
- Countries/regions/districts working on improving data…… have a reference point a dataset to validate , to improve
24
25
Partnerships, partnerships, partnership