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HKH BIF: Publishing HKH Biodiversity Data Globally
 

HKH BIF: Publishing HKH Biodiversity Data Globally

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Regional Consultation to Develop Future Strategic Programme for Biodiversity Management and Climate Change Adaptation in the Karakoram Pamir Landscape, 15-16 December 2011, Kathmandu

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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  • 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.

HKH BIF: Publishing HKH Biodiversity Data Globally HKH BIF: Publishing HKH Biodiversity Data Globally Presentation Transcript

  • Regional Consultation to Develop Future StrategicProgramme for Biodiversity Management andClimate Change Adaptation in the KarakoramPamir LandscapeHKH-BIF:Publishing HKH Biodiversity Data GloballyKathmandu, Nepal16-17 December 2011Deependra Tandukar, Bandana ShakyaInternational Centre for Integrated Mountain DevelopmentKathmandu, Nepal
  • Outline HKH biodiversity richness How Why Publish globally
  • 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
  • HKH biodiversity:Significance • Parts of 4 global biodiversity hotspots • 29 Ramsar sites • 47 IBAs • 60 ecoregions • 488 protected areas
  • HKH biodiversity:Significance Species: • Amphibians: 340+ (6,433) • Mammals: 500+ (5,490) • Reptiles: 520+ (9,084) • Plants (vascular): 32,000+ (294,842) Current Results (currentresults.com)
  • Why publish globally?
  • 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
  • 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
  • How to publish globally? How
  • 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
  • HKH-BIFhttp://www.icimod.org/hkh-bif Partner 1 upload HKH-BIF register GBIF Partner 1 interface Partner 2 Access published data Partner 3 Public
  • HKH-BIF
  • HKH-BIF
  • HKH-BIF
  • HKH-BIF data in GBIF
  • HKH-BIF data in GBIF
  • Capra falconerimarkhor
  • Niche model
  • 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.
  • 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