Trees, Forests and Land Use in Drylands: the First Global ... · Drylands Monitoring Week, Jan 2015...
Transcript of Trees, Forests and Land Use in Drylands: the First Global ... · Drylands Monitoring Week, Jan 2015...
Trees, Forests andLand Use in Drylands:
the First Global Assessment
Chiara Patriarca – [email protected]
“The Rome PromiseFAO Council 2014 recommendation:
Develop a global assessment of the extent and status of dryland forests, rangelands and agrosilvopastoral systems
“The Rome PromiseDrylands Monitoring Week,Jan 2015
Assess the gap between the needs and the current state of drylands monitoring. Explore the opportunities offered by new technology (Collect Earth) and policy commitments.
Initiate a collaborative process to promote large-scale, comprehensive monitoring of drylands.
Geographic Scope
45% of land excluding Antarctic area is considered Drylands
* UNEP-WCMC, 2007, according to UNCCD and CBD definitionAridity Index (AI) = P / PET P = Mean Annual Precipitation / PET = Mean Annual Potential Evapotranspiration
Hyperarid (P/PET < 0.05)
Arid (P/PET < 0.05 – 0.20)
Semiarid (P/PET < 0.20 – 0.50)
Dry subhumid (P/PET < 0.50 – 0.65)
Participatory approach
213,906 PLOTS & OVER 200
INTERPRETERS
OpenForis.org SUITE
◉ Developed by the FAO
◉ Free and Open Source Software
◉ Collect, Collect Mobile, Collect Earth, Collect Earth online, Calc and Sepal
◉ Google partnership: CE builds on top of Google Earth and Earth Engine
The Sampling design
◉ Probability sampling approach
◉ Random restricted. Stratification according to Drylands aridity zones
◉ Augmented visual interpretation of > 200,000 sampling points.
The Survey Design
Visual Interpretation
Counting element
Assessing land class, FAO FRA and land use
IPCC
Visual Interpretation using Collect Earth77 Attributes
Plot Size: FAO Forest Resources Assessment. FRA 2015 –Terms and DefinitionsPlot Shape: Use of IPCC 2006 guidelines for GHG inventories, Volume 4: Agriculture, Forestry and Other Land Use Chapter 3: (Consistent Representation of Lands)
Bing Maps
Earth Engine Explorer
Earth Engine Code Editor
Google Earth +
Very high spatial resolution9
Land use change detection
Data Assessment Design-Cards Entry Form
11
Baseline to assess dynamic processes through quantitative parameters
Publications
JULY 2016
13
NOVEMBER 2016
MAY 2017
2019
FULL DRYLANDSREPORT
Publications
Some results from the full report
2019
FULL DRYLANDS
REPORT
LAND USES IN DRYLANDS
FRA CLASSES
FRA Class Area (HA) Area (million ha) %
Forest 1,090,506,677 1,091 18
Other wooded land 582,738,636 583 10
Other land 4,387,584,370 4,388 72
Inland water bodies 71,962,456 72 1
Total 6,132,792,139 6,133 100
Forest Other wooded land Other land Inland
water
bodies
Publications
2019
FULL DRYLANDS
REPORT
FOREST DISTRIBUTION BY
TREE COVER
0
50000
100000
150000
200000
250000
300000
350000
400000
450000
AR
EA (
HA
)TH
OU
SAN
DS
TREE COVER (%)
67% OF DRYLAND FORESTS CAN BE CONSIDERED CLOSED
FOREST AND HALF OF THESE FORESTS HAVE A TREE COVER OF
ABOVE 90% WHILE 33% ARE OPEN FORESTS
Publications
2019
FULL DRYLANDS
REPORT
DISTRIBUTIONOF FOREST
Publications
2019
MAIN CROPLAND TYPES
IN DRYLANDS
FULL DRYLANDS
REPORT
A word on Uncertainties
◉ Sampling error (< the sampling design) ~ 1%
◉ Increase with the area considered
◉ Decrease with the number of points assessed
◉ Measurement error ~ 9% (< Global field data)
◉ Comparing field with remote-sensing assessment from a subset of the global database.
Final confidence intervals calculated from the combination of the two : +/-10 %
Points for consideration
Recognizing the difference in the methodology and tools used to collect data on dryland forests, FAO started the consultation with experts in countries and other stakeholders in order to share these inconsistencies and seek advice on the way forward in improving data collection on drylands forests.
◉ in Southern Africa region, forest area and other wooded land area are much higher in the drylands study compared to what is reported for FRA 2015 for all lands;
◉ for Oceania region, the area of forest from the drylands assessment is higher than what is reported to FRA 2015 for all lands. In addition, the other wooded land area is substantially smaller in the drylands study that what is reported for FRA 2015 for all lands;
◉ in Northern and Central America and Caribbean, the area of other wooded land is substantially higher in the drylands assessment than what is reported for FRA 2015 for all lands.
Those inconsistencies are mainly due to confusion between forest and other wooded land and the difficulties to discriminate between different drylands vegetation types on satellite imagery as well as to the lack of reliable and complete national data for some countries reported to FRA, in particular for other wooded land area.
Way forward
Recommend actions to improve current monitoring and assessment capacities and data in the drylands:
◉ improve country capacity to monitor drylands forest, land and environment,
◉ developing a long-term participatory dryland monitoring programme,
◉ enhance satellite image processing tools and methods for drylands,
◉ Facilitate the use of the results of the assessment, once it is launched, to help address the challenges to combat desertification.
Trees, Forests andLand Use in Drylands:
the First Global Assessment
THANK YOU
Chiara Patriarca – [email protected]