Download - 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: [email protected]
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.