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Habitat distribution of Adansonia digitata
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3
1 World Agroforestry Centre, Tree Productivity and Diversity
2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
3 HAS University of Applied Sciences, 's-Hertogenbosch
Habitat distribution of Afrocarpus falcatus
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Habitat distribution of Balanites aegyptiaca
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3
1 World Agroforestry Centre, Tree Productivity and Diversity
2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
3 HAS University of Applied Sciences, 's-Hertogenbosch
Habitat distribution of Cordia africana
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Habitat distribution of Faidherbia albida
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Habitat distribution of Hagenia abyssinica
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Habitat distribution of Juniperus procera
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Habitat distribution of Tamarindus indica
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3
1 World Agroforestry Centre, Tree Productivity and Diversity
2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
3 HAS University of Applied Sciences, 's-Hertogenbosch
Habitat distribution of Ziziphus jujuba
inferred from ensemble modelling with BiodiversityR
Species distribution modelling is currently underway for
150+ priority species selected by the PATSPO project,
using similar methods of model calibrations as used for
http://www.worldagroforestry.org/atlas-central-america.
However, more sophisticated methods such as spatial
folding, spatial and environmental thinning are employed
to reduce sampling bias and the effects of spatial auto-
correlation. For native species, presence observations
from across the African continent were gathered.
Here provisional results are shown, calibrated with
presence observations that are available online. In a later
phase, additional presence observations will be included
in model calibrations and evaluations. These will be
provided by experienced botanists that will also verify the
distribution maps.
Figure 1 was created by combining information from the
www.vegetationmap4africa.org with the results of habitat
distribution mapping. Where a section of the projected
range of the species overlapped with its expected
distribution in vegetation types, the section was given the
same colouring as the vegetation map. Sections that did
not match documented vegetation types were plotted in
the grey33 R colour.
Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12
1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN)
Figure 1. Projected presence
distribution of the species in
Ethiopia. Administrative
boundaries from
www.gadm.org version 3.6.
Figure 2. Administrative boundaries for Ethiopia from
www.gadm.org version 3.6.
Figure 3. Distribution of potential natural vegetation
types in Ethiopia from www.vegetationmap4africa.org
Figure 4. Projected presence
distribution of the species
across Africa. Administrative
boundaries tmap version 2.2
(Tennekes 2018).

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Wall posters on habitat distribution of nine tree species in Ethiopia

  • 1. Habitat distribution of Adansonia digitata inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018). Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) 3 HAS University of Applied Sciences, 's-Hertogenbosch
  • 2. Habitat distribution of Afrocarpus falcatus inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).
  • 3. Habitat distribution of Balanites aegyptiaca inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018). Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) 3 HAS University of Applied Sciences, 's-Hertogenbosch
  • 4. Habitat distribution of Cordia africana inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).
  • 5. Habitat distribution of Faidherbia albida inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).
  • 6. Habitat distribution of Hagenia abyssinica inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).
  • 7. Habitat distribution of Juniperus procera inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).
  • 8. Habitat distribution of Tamarindus indica inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018). Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12, Paulo van Breugel3 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) 3 HAS University of Applied Sciences, 's-Hertogenbosch
  • 9. Habitat distribution of Ziziphus jujuba inferred from ensemble modelling with BiodiversityR Species distribution modelling is currently underway for 150+ priority species selected by the PATSPO project, using similar methods of model calibrations as used for http://www.worldagroforestry.org/atlas-central-america. However, more sophisticated methods such as spatial folding, spatial and environmental thinning are employed to reduce sampling bias and the effects of spatial auto- correlation. For native species, presence observations from across the African continent were gathered. Here provisional results are shown, calibrated with presence observations that are available online. In a later phase, additional presence observations will be included in model calibrations and evaluations. These will be provided by experienced botanists that will also verify the distribution maps. Figure 1 was created by combining information from the www.vegetationmap4africa.org with the results of habitat distribution mapping. Where a section of the projected range of the species overlapped with its expected distribution in vegetation types, the section was given the same colouring as the vegetation map. Sections that did not match documented vegetation types were plotted in the grey33 R colour. Roeland Kindt1, Lars Graudal12, Jens-Peter B Lillesø2, Abrham Abiyu1, Soren Moestrup12 1 World Agroforestry Centre, Tree Productivity and Diversity 2 University of Copenhagen, Department of Geosciences and Natural Resource Management (IGN) Figure 1. Projected presence distribution of the species in Ethiopia. Administrative boundaries from www.gadm.org version 3.6. Figure 2. Administrative boundaries for Ethiopia from www.gadm.org version 3.6. Figure 3. Distribution of potential natural vegetation types in Ethiopia from www.vegetationmap4africa.org Figure 4. Projected presence distribution of the species across Africa. Administrative boundaries tmap version 2.2 (Tennekes 2018).