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CRYSTAL DAVIS, DIRECTOR, GLOBAL FOREST WATCH
FRED STOLLE, SENIOR ASSOCIATE, GLOBAL FOREST WATCH
BIG DATA, DEEP INSIGHTS
GL...
WE NOW KNOW MORE ABOUT FORESTS
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
WE NOW KNOW MORE ABOUT FORESTS
BIGGER DATA, BETTER DECISIONS?
Data DecisionsInsights
EXAMPLE: GLOBAL FOREST CHANGE
Forest Area
Loss & Gain
Tree Cover
Loss & Gain
SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015
Country statistics
National statistics
5-year intervals
Multiple variables
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
Global map, 30x30 meter pixels
Annual updates
Spatial datasets can be overlaid
FRA “forest” UMD “tree cover”
 
 
X 
 X
FRA UMD
Loss Loss
No
Change
Loss
Gain
No
Change
No
Change
Gain
Together, we can draw deeper insights
FIVE STORIES TO WATCH
@globalforests
#WRIatWFC
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
TROPICS
TROPICS
TROPICAL TREE COVER
LOSS ACCELERATES
@globalforests
#WRIatWFC
TROPICAL FOREST LOSS
SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015;
HANSEN/UMD/GOOGLE/USGS/NASA
FRA reports 8.8 million ...
TROPICAL FOREST LOSS
SOURCE: Hansen/UMD/Google/USGS/NASA
3-year moving average
Annual tree cover loss
TREE COVER LOSS INCREASING IN TROPICAL
COUNTRIES OUTSIDE BRAZIL AND INDONESIA
Countries Outside Brazil/Indonesia
Brazil
In...
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
MEKONG
THE MEKONG EMERGES
AS A HOTSPOT FOR LOSS
TREE COVER LOSS IN MEKONG AREA (MINUS CHINA)
CAMBODIA. LAOS, MYANMAR, VIETNAM
SOURCE: Hansen/UMD/Google/USGS/NASA
3-year m...
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
CAMBODIA
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
CAMBODIA TREE COVER LOSS
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA; WORLD BANK. RUBBER PRICES CALCULATED
BY AVG. HISTORICAL MONTHLY DATA OF WORLD COMMODI...
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
MEKONG
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
DEM REP OF CONGO
DEMOCRATIC REPUBLIC
OF CONGO’S FORESTS
UNDER RISING
PRESSURES
TREE COVER LOSS IN THE DRC
SOURCE: Hansen/UMD/Google/USGS/NASA
3-year moving average
Annual tree cover loss
~50%
TREE COVER LOSS ANNUAL RATES (%)
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
(10km)
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
YANGAMBI BIOSPHERE RESERVE (30KM FROM
KISANGANI, PROVINCE ORIENTALE)
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
Kisangani
Yangambi
SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
1km
SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
1km
SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
DEM REP OF CONGO
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
PERU
ILLEGALITY IN THE
PERUVIAN AMAZON
SOURCE: Hansen/UMD/Google/USGS/NASA
FRA DEFORESTATION IN PERU
TREE COVER LOSS IN PERU
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
3-year moving average
Annual tree cover loss
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
CONVERSION TIMBER IN PERU
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA; SKYBOX
Skybox image of the Ucayali Plantations
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
Currently working to
crowdsource a complete
temporal map of all logging
roads in the Congo Basin
•Merged datasets
•Adapted...
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
PERU
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
DRY LANDS
DRY TROPICAL FORESTS
OVERLOOKED BUT UNDER
THREAT
TREE COVER LOSS IN PARAGUAY
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
3-year moving average
Annual tree cover loss
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
TROPICS
MEKONG
DEM REP OF CONGOPERU
DRY LANDS
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
TROPICS
DRY LANDS
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
PROMISING
DEVELOPMENTS
FOREST AREA GAIN
SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015
Countries reporting
greatest annual
forest area gain
(201...
PRIVATE SECTOR ACTION
PRIVATE SECTOR ACTION
SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
RSPO oil palm
concessions
Non-RSPO oil palm
concessions
RSPO cer...
SECURING COMMUNITY FOREST RIGHTS
SOURCE: WRI PUBLICATION “SECURING RIGHTS, COMBATTING CLIMATE CHANGE”
SECURING COMMUNITY FOREST RIGHTS
SOURCE: WRI PUBLICATION “SECURING RIGHTS, COMBATTING CLIMATE CHANGE”
CONCLUDING THOUGHTS
Thank you!
@globalforests
#WRIatWFC
CRYSTAL DAVIS, DIRECTOR, GLOBAL FOREST WATCH
FRED STOLLE, SENIOR ASSOCIATE, GLOBAL FOR...
PANEL DISCUSSION
Leo Bottrill, Moabi
Crystal Davis, World Resources Institute
Patrick Houdry, Airbus
Fred Stolle, World Re...
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Global Forest Watch: 5 Stories to Watch

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At the 14th World Forestry Congress in Durban, South Africa, Global Forest Watch introduced new data and research, uniting tree cover loss data derived from satellite imagery and the latest statistics from FAO’s Forest Resources Assessment 2015, to reveal five critical trends shaping the future of forest landscapes.

Published in: Education

Global Forest Watch: 5 Stories to Watch

  1. 1. CRYSTAL DAVIS, DIRECTOR, GLOBAL FOREST WATCH FRED STOLLE, SENIOR ASSOCIATE, GLOBAL FOREST WATCH BIG DATA, DEEP INSIGHTS GLOBAL FOREST WATCH PRESENTS FIVE STORIES TO WATCH #WRIatWFC
  2. 2. WE NOW KNOW MORE ABOUT FORESTS
  3. 3. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA WE NOW KNOW MORE ABOUT FORESTS
  4. 4. BIGGER DATA, BETTER DECISIONS? Data DecisionsInsights
  5. 5. EXAMPLE: GLOBAL FOREST CHANGE Forest Area Loss & Gain Tree Cover Loss & Gain
  6. 6. SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015 Country statistics National statistics 5-year intervals Multiple variables
  7. 7. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA Global map, 30x30 meter pixels Annual updates Spatial datasets can be overlaid
  8. 8. FRA “forest” UMD “tree cover”     X   X
  9. 9. FRA UMD Loss Loss No Change Loss Gain No Change No Change Gain
  10. 10. Together, we can draw deeper insights
  11. 11. FIVE STORIES TO WATCH @globalforests #WRIatWFC
  12. 12. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA TROPICS TROPICS
  13. 13. TROPICAL TREE COVER LOSS ACCELERATES @globalforests #WRIatWFC
  14. 14. TROPICAL FOREST LOSS SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015; HANSEN/UMD/GOOGLE/USGS/NASA FRA reports 8.8 million ha of gross natural forest loss per year (2010-2015). 80% of this loss occurred in the tropics UMD/Google reports 10 million ha of tropical tree cover loss in 2014
  15. 15. TROPICAL FOREST LOSS SOURCE: Hansen/UMD/Google/USGS/NASA 3-year moving average Annual tree cover loss
  16. 16. TREE COVER LOSS INCREASING IN TROPICAL COUNTRIES OUTSIDE BRAZIL AND INDONESIA Countries Outside Brazil/Indonesia Brazil Indonesia SOURCE: Hansen/UMD/Google/USGS/NASA *Solid line represents 3-year moving average *Dotted line represents annual tree cover loss
  17. 17. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA MEKONG
  18. 18. THE MEKONG EMERGES AS A HOTSPOT FOR LOSS
  19. 19. TREE COVER LOSS IN MEKONG AREA (MINUS CHINA) CAMBODIA. LAOS, MYANMAR, VIETNAM SOURCE: Hansen/UMD/Google/USGS/NASA 3-year moving average Annual tree cover loss
  20. 20. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA CAMBODIA
  21. 21. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA CAMBODIA TREE COVER LOSS
  22. 22. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA; WORLD BANK. RUBBER PRICES CALCULATED BY AVG. HISTORICAL MONTHLY DATA OF WORLD COMMODITY MARKETS. CAMBODIA TREE COVER LOSS AND GLOBAL RUBBER PRICES
  23. 23. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA MEKONG
  24. 24. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA DEM REP OF CONGO
  25. 25. DEMOCRATIC REPUBLIC OF CONGO’S FORESTS UNDER RISING PRESSURES
  26. 26. TREE COVER LOSS IN THE DRC SOURCE: Hansen/UMD/Google/USGS/NASA 3-year moving average Annual tree cover loss ~50%
  27. 27. TREE COVER LOSS ANNUAL RATES (%) SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA (10km)
  28. 28. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  29. 29. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  30. 30. YANGAMBI BIOSPHERE RESERVE (30KM FROM KISANGANI, PROVINCE ORIENTALE)
  31. 31. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  32. 32. Kisangani Yangambi SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
  33. 33. 1km SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
  34. 34. 1km SOURCE: SPOT 5, 2010-03-02, (AIRBUS DEFENCE AND SPACE, IGNFI)
  35. 35. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA DEM REP OF CONGO
  36. 36. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA PERU
  37. 37. ILLEGALITY IN THE PERUVIAN AMAZON
  38. 38. SOURCE: Hansen/UMD/Google/USGS/NASA FRA DEFORESTATION IN PERU
  39. 39. TREE COVER LOSS IN PERU SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA 3-year moving average Annual tree cover loss
  40. 40. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  41. 41. CONVERSION TIMBER IN PERU SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA; SKYBOX Skybox image of the Ucayali Plantations
  42. 42. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  43. 43. Currently working to crowdsource a complete temporal map of all logging roads in the Congo Basin •Merged datasets •Adapted OpenStreetMap tools •Organized Mapping parties LoggingRoads.org
  44. 44. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA PERU
  45. 45. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA DRY LANDS
  46. 46. DRY TROPICAL FORESTS OVERLOOKED BUT UNDER THREAT
  47. 47. TREE COVER LOSS IN PARAGUAY SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA 3-year moving average Annual tree cover loss
  48. 48. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  49. 49. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  50. 50. TROPICS MEKONG DEM REP OF CONGOPERU DRY LANDS SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA TROPICS DRY LANDS
  51. 51. SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA
  52. 52. PROMISING DEVELOPMENTS
  53. 53. FOREST AREA GAIN SOURCE: GLOBAL FOREST RESOURCES ASSESSMENT 2015 Countries reporting greatest annual forest area gain (2010-2015) Annual forest area gain Area (000 ha) % of 2010 forest area 1 China 1542 0.8 2 Australia 308 0.2 3 Chile 301 1.9 4 USA 275 0.1 5 Philippines 240 3.5 6 Gabon 200 0.9 7 Lao PDR 189 1.1 8 India 178 0.3 9 Viet Nam 129 0.9 10 France 113 0.7
  54. 54. PRIVATE SECTOR ACTION
  55. 55. PRIVATE SECTOR ACTION SOURCE: HANSEN/UMD/GOOGLE/USGS/NASA RSPO oil palm concessions Non-RSPO oil palm concessions RSPO certified concessions show less: •Encroachment into protected areas •Tree cover loss •Primary forest loss •Conversion of peatlands •Fires
  56. 56. SECURING COMMUNITY FOREST RIGHTS SOURCE: WRI PUBLICATION “SECURING RIGHTS, COMBATTING CLIMATE CHANGE”
  57. 57. SECURING COMMUNITY FOREST RIGHTS SOURCE: WRI PUBLICATION “SECURING RIGHTS, COMBATTING CLIMATE CHANGE”
  58. 58. CONCLUDING THOUGHTS
  59. 59. Thank you! @globalforests #WRIatWFC CRYSTAL DAVIS, DIRECTOR, GLOBAL FOREST WATCH FRED STOLLE, SENIOR ASSOCIATE, GLOBAL FOREST WATCH
  60. 60. PANEL DISCUSSION Leo Bottrill, Moabi Crystal Davis, World Resources Institute Patrick Houdry, Airbus Fred Stolle, World Resources Institute Ken MacDicken, Food and Agriculture Organization (Moderator) @globalforests #WRIatWFC

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