Jalonen R, van Zonneveld M, Thomas E, Gaisberger H, Vinceti B, Hong LT, Loo J. 2012. Identifying tree populations for conservation action through geospatial analyses. In: Multinational and Transboundary Conservation of Valuable and Endangered Forest Tree Species. Asia and the Pacific Workshop, Guangzhou, China, 5-7 December 2011. IUFRO World Series 30, pp. 98-101 Read more about Bioversity International’s work on forest and tree genetic diversity: http://www.bioversityinternational.org/research-portfolio/forest-tree-genetic-diversity/

1. Identifying tree populations for
conservation actions through
geospatial analyses
Riina Jalonen, Maarten van Zonneveld, Evert Thomas,
Hannes Gaisberger, Barbara Vinceti, Hong Lay Thong
and Judy Loo
Bioversity International
Contact: r.jalonen@cgiar.org

2. Spatial biodiversity analyses
Can help to answer
• Where are the most diverse or most unique
resources and why?
• Are they threatened by land use changes or
climate change?
• Where should action be taken to most efficiently
conserve diversity or tap useful variation?
• Visualization
Data
• Field studies
• Existing records
• Species distribution modeling can complement
This presentation: Case studies about the uses of
spatial analysis tools on tropical tree species

3. Freely available tools and datasets
• DIVA-GIS software
– www.diva-gis.org
– Special features for analyzing biodiversity data
– Free spatial data
– Training manual (Scheldeman & van Zonneveld 2010) w
ww.bioversityinternational.org/training/training_materials/gis_ma
• The Global Biodiversity Information Facility (GBIF)
– 312,669,756 species records (15 Nov 2011)
– www.gbif.org
• WORLDCLIM
– Current, future and past climate data
– www.worldclim.org

4. MAPFORGEN - Threat profiles
• 100 useful tree species of Latin
Fire risk America and the Caribbean
(Jarvis et al. 2010) • Data from the GBIF, national
systems, herbaria, literature,
research groups…
• Species distribution modeling
• Comparison with threat maps
• Individual threat profiles
Accessibility – Main threats
– Most threatened populations
Oil and gas – Fragmentation
Agriculture
– Proportion of distribution area in
protected areas
Mining Climate change
Invasive species Threat diagram for Annona cherimola

5. Pinus kesiya
– climate change threats
Predicted distribution (current) Predicted shifts in distribution (2050)
(Species distribution modeling)
Van Zonneveld et al. 2009

6. Cherimoya –
Allelic diversity
Southern Peru – high diversity
Allelic richness (number of alleles) Cluster analysis Bolivia – low but distinctive diversity
CHERLA 2009; van Zonneveld et al. 2012

7. Cherimoya – Reserve selection
Principle of
complementarity:
Which combination of
reserves best covers the
overall diversity?
Bolivia: low but distinctive
diversity ranks high in
selection
CHERLA 2009; van Zonneveld et al. 2012

8. Asian tree species – Data availability
Priority species of APFORGEN
(Asia Pacific Forest Genetic Resources Programme)
Species Specified Countries
locations
Chukrasia tabularis 17 7 Cambodia, China, India, Lao PDR,
Malaysia, Thailand, Vietnam
Dipterocarpus 22 7 Cambodia, Indonesia, India, Lao PDR,
alatus Myanmar, Thailand, Vietnam
Fagraea fragrans 55 7 Cambodia, India, Indonesia, Lao PDR,
Malaysia, Thailand, Vietnam
Hopea odorata 7 6 Cambodia, India, Indonesia, Lao PDR,
Myanmar, Thailand
Pterocarpus 99 5 Cambodia, Lao PDR, Myanmar,
macrocarpus Thailand, Vietnam
Tectona grandis 1 1 Philippines
Data: GBIF

9. Asian tree species –
Regional collaboration
Dependency of the predicted distribution on the number of observations
Fagraea fragrans used in the analysis. Data from one country only does not necessarily
result in good prediction of species distribution even in that country itself.
data from one country two countries three countries
Data: GBIF, WORLDCLIM (Hijmans et al. 2005) Analyses: Maxent (Phillips et al. 2006)