IUFRO species conservation china dec11

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

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?• VisualizationData• Field studies• Existing records• Species distribution modeling can complement

This presentation: Case studies about the uses of spatial analysis tools on tropical tree species

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)

www.bioversityinternational.org/training/training_materials/gis_manual.html

• 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

MAPFORGEN - Threat profiles

• 100 useful tree species of Latin America and the Caribbean

• Data from the GBIF, national systems, herbaria, literature, research groups…

• Species distribution modeling• Comparison with threat maps• Individual threat profiles

– Main threats

– Most threatened populations

– Fragmentation

– Proportion of distribution area in protected areas

Fire risk (Jarvis et al. 2010)

Accessibility

Agriculture

Mining

Oil and gas

Climate change

Invasive species Threat diagram for Annona cherimola

Pinus kesiya – climate change threats

Predicted distribution (current)(Species distribution modeling)

Predicted shifts in distribution (2050)

Van Zonneveld et al. 2009

Cherimoya – Allelic diversity

Allelic richness (number of alleles) Cluster analysis

CHERLA 2009; van Zonneveld et al. 2012

Southern Peru – high diversityBolivia – low but distinctive diversity

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

Asian tree species – Data availabilityPriority species of APFORGEN

(Asia Pacific Forest Genetic Resources Programme)

Species Specified locations

Countries

Chukrasia tabularis 17 7 Cambodia, China, India, Lao PDR, Malaysia, Thailand, Vietnam

Dipterocarpus alatus

22 7 Cambodia, Indonesia, India, Lao PDR, 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 macrocarpus

99 5 Cambodia, Lao PDR, Myanmar, Thailand, Vietnam

Tectona grandis 1 1 Philippines

Data: GBIF

three countriestwo countries

Asian tree species –Regional collaboration

data from one country

Fagraea fragrans

Data: GBIF, WORLDCLIM (Hijmans et al. 2005) Analyses: Maxent (Phillips et al. 2006)

Dependency of the predicted distribution on the number of observations used in the analysis. Data from one country only does not necessarily result in good prediction of species distribution even in that country itself.