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MNV/RL 1
Developing historic land cover databases
The BIOME 300-experience
Prof. Dr. Rik Leemans[[email protected]]
Dutch Institute of Public Health and the Environment
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The traditional use of land in most global carbon-cycle models
• Often initialized by modeled potential vegetation, not actual vegetation
• tropical deforestation is the only land-use change considered
• Land conversions included but generally no land modifications
• Still a missing sink (i.e. the different approaches do not agree on the current global budget)
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Improving the carbon cycle • Inter-annual variability is added to the models: the
biosphere reacts rapidly
• Include realistic patterns of deforestation and reforestation
• Add realistic management for forests, pastures and agriculture
• Develop a good high-resolution initialization database for the recent past: BIOME 300
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Why historic land-cover databases?
•Testing against historical data is an important step for validating integrated environmental models of global change
•The description of historic carbon budgets and land-climate interactions require good initialisation data
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An example: HYDE (hundred year database on the environment)
• Basic Driving Forces
• Energy & Industry data
• Terrestrial data
• Oceanic & Atmospheric data
• Population, GDP, value added, private consumption,
climate data
• Energy consumption, GHG emissions, industrial production
• Land use, crop production (area and yield), animal production, food and fertilizer consumption livestock numbers, etc.
• Concentration of GHGs
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World Population Prospects 1950 - 2050, United Nations Population Division, the 1996 Revision.
International Historical Statistics, B.R. Mitchell (1975 - 1995)
&
Country Census data
&
Logistic curves for countries with ‘no data’ or ‘filling the gaps’
1994
1950
e.g.1800
The total population numbers per country are scaled down by a factor derived from the historical statistics, and then allocated according the 1994 NCGIA population density map.
0.5 degree lat/lon population density map, NCGIA (1995)
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Excel spreadsheets arable area, pasture Export to csv format
The total land use estimates per country are derived from historical statistics, and then allocated according to HYDE 2.0 population density maps (proxy for arable area)
and a methane emission density map (proxy for pasture)
country1 country 204year 1700 .…. ..… ….. …... .…. ..… ….. …... .…. ..… ….. …... .…. ..… ….. …...year 1995 .…. ..… ….. …...
Fortran routines, allocating areas to IMAGE grid cells
Export to ascii matrix, and import in Arc/Info as grid
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Disadvantages of the global backcasting approaches
• Coarse scale patterns are captured but locally many discrepancies remain
• Non-linearities neglected through the scaling
Major challenges:
How to improve the regional historic land use and land-cover patterns?
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Land used in Harvard Forest
The mixed natural forest before the settlement of Europeans in 1700
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Land use in Harvard Forest
Most farms abandonned in 1850. The new forests are composed of pine
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Land use in Harvard Forest
Natural regeneration of mixed broadleafed forests replace the cut pine forests in 1930
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Land use in Harvard Forest
The currentsituation of Harvard Forest, one of the most researched, relatively young broadleafed forests
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Emperical models of the dynamics of deforestation
Period 1986 to 1987
Closed bos
Agriculture
Regowth forests
deforested again 1973 ha/year
abandonned: 2902 ha/year
Degradation: 1543 ha/year
deforestation: 4112 ha/year
Period 1988 to 1989
Closed forests
Agriculture
Regrowth forest
deforested again 6210 ha/year
abandonment: 7203 ha/year
degradation 5294 ha/year
deforestation 8634 ha/year
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An example of extreme events
woodlandGrasslands
Arable land
An extreme rain eventSource: Bork et al., 1998
Soil erosion
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Conclusions• Natural and socio-economic extreme events are
important in defining historical trends
• Top-down and bottom-up approaches must be linked to improve the resolution of the global data
• The scientific communities on past (PAGES), present (LUCC, BAHC & GCTE) must work together with help of historians
• The PAGES HITE initiative is a good start to continue with a BIOME 300 activity