Regional Consultation to Develop Future Strategic Programme for Biodiversity Management and Climate Change Adaptation in the Karakoram Pamir Landscape, 15-16 December 2011, Kathmandu
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HKH BIF: Publishing HKH Biodiversity Data Globally
1. Regional Consultation to Develop Future Strategic
Programme for Biodiversity Management and
Climate Change Adaptation in the Karakoram
Pamir Landscape
HKH-BIF:
Publishing HKH Biodiversity Data Globally
Kathmandu, Nepal
16-17 December 2011
Deependra Tandukar, Bandana Shakya
International Centre for Integrated Mountain Development
Kathmandu, Nepal
2. Outline
HKH biodiversity
richness
How
Why
Publish globally
3. HKH biodiversity:
Global BD conservation priority
Maps of the nine global biodiversity conservation priority templates: CE, crisis ecoregions (21); BH,
biodiversity hot spots [(11), updated by (39)]; EBA, endemic bird areas (15); CPD, centers of plant
diversity (12); MC, megadiversity countries (13); G200, global 200 ecoregions [(16), updated by (54)];
HBWA, high-biodiversity wilderness areas (14); FF, frontier forests (19); LW, last of the wild (20).
T M Brooks et al. Science 2006;313:58-61
4. HKH biodiversity:
Significance
• Parts of 4 global biodiversity hotspots
• 29 Ramsar sites
• 47 IBAs
• 60 ecoregions
• 488 protected areas
7. HKH biodiversity:
Status
• Scattered data
• Data available: National level (scattered)
• Online published data (not using the same standard)
• Published data (hard copy such as books, journals, etc.)
• Unpublished data (individual/institutions)
• Investment for data management
• Culture towards open access
8. HKH biodiversity:
Way to go
• Tap unpublished data
• Digitise available hardcopy data
• Convert published data into single standard
• Open access
Let our work be
seen by the world
10. GBIF
• Global Biodiversity Information Facility
• Established by governments in 2001 to encourage free
and open access to biodiversity data, via the Internet
• Global network of 57 countries and 47 organisations
(India, and Pakistan have country
node, Afghanistan, Bangladesh, Bhutan, China, Myanmar, and Nepal do
not have country node yet)
• Free and open access
• http://www.gbif.org
indexed records: 317,099,241
Datasets: 8,594
Publishers: 368
14 Dec 2011
19. GBIF data use cases
• Monitoring national-level biodiversity targets
Soberón, J. and Peterson, A. (2009), AMBIO: A Journal of the Human Environment, 38(1):29-
34. 2009, Monitoring Biodiversity Loss with Primary Species-occurrence Data: Toward
National-level Indicators for the 2010 Target of the Convention on Biological Diversity.
http://www.bioone.org/doi/full/10.1579/0044-7447-38.1.29
The paper proposes a methodology for assessing range loss for species affected by land-use
conversion, using raw occurrence data combined with remote sensing and cutting-edge
modelling.
• Impacts of climate change on biodiversity
Hillyer, R. and Silman, M. (2010), Global Change Biology. Changes in species interactions
across a 2.5 km elevation gradient: effects on plant migration in response to climate change.
http://dx.doi.org/10.1111/j.1365-2486.2010.02268.
The paper investigates factors that will affect future abundance of tree species forced to
migrate to higher altitudes in the Andes in response to changing climate conditions.
• Assessing the cultural values of biodiversity
Gaikwad, J. et al (2011), Ecological Modelling. Ecological niche modeling of customary
medicinal plant species used by Australian Aborigines to identify species-rich and culturally
valuable areas for conservation.
http://dx.doi.org/doi:10.1016/j.ecolmodel.2011.07.005
The paper uses a modelling programme to map the potential ecological niches for more than
400 plant species used by Australian Aborigines in traditional medicine.
20. Together we can…
Well established and functional
BIF indeed helps the
country, organisations, and
researchers to significantly
increase the benefits from
past, present, and future
investments in biodiversity
research and data collection
317,099,241
Editor's Notes
The beauty of the system is that if you don’t feel comfortable publishing your entire data then you can only publish the basic metadata like description of your data, you contact info so that if anybody is interested in your work, the person could contact you.
With occurrence data available in GBIF, niche model can be generated. It is the integration between openModeller and occurrence point data; and the generated probability distributing is based on Envelope Score Algorithm.