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Needs Assessment for East Africa for management of Pests Pollinators and IAS

Needs Assessment for East Africa for management of Pests Pollinators and IAS. Scope of Presentation. BASIS of NA (JRS Bioinformatics project, BOZONET, UVIMA) Key Issues Opportunities. Challenges for taxonomy in East Africa.

jermaine-lindsay
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Needs Assessment for East Africa for management of Pests Pollinators and IAS

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  1. Needs Assessment for East Africa for management of Pests Pollinators and IAS

  2. Scope of Presentation • BASIS of NA (JRS Bioinformatics project, BOZONET, UVIMA) • Key Issues • Opportunities

  3. Challenges for taxonomy in East Africa • Good taxonomy requires a researcher access to reference collections, a catalogue of previous taxon hypotheses and access to the relevant literature • Typical scenario in East Africa is that Institutions are still taking stock of biodiversity elements. In some cases, researchers have no access and cannot make reference to specimens collected by scientists before them • Existent taxonomic workers are overstretched with little time/resources for specialisation and/or synthesis of research findings.(numbers and resources) • ICT Capacity is minimal in terms of hardware, software and acceptability. Focus is on basic taxonomy with little output in terms of end-user tools and services

  4. Challenges associated with non-standardised formats • Diversity of institutions and lack of linkages remains a challenge • Information is collected and stored in diverse forms, formats and locations, hence a serious obstacle to ability to correlate and synthesize the information to create new knowledge • End-users unable to ascertain if the information required exists: Questions go unanswered, problems go unsolved, or money is wasted re-collecting information that already exists but is not accessible.

  5. Priorities in biodiversity informatics • Awareness creation at policy level to enhance acceptability of ICT and Data sharing protocols across institutions, countries and the region • Capacity building in biodiversity data management, including use of GIS tools • Data capture/ digitisation to collate various data/information and develop quality knowledge base as basis for research biodiversity investment • Standardization of formats to facilitate interoperability and data sharing across the region and with global bioinformatics initiatives

  6. Tools, Products and Products

  7. Priorities in biodiversity informatics • Improving infrastructure-hardware, software and Internet access capacity in order to take advantage of existing resources-GBIF, EOL, • Development of local GBIF nodes: TanBIF, KenBIF and • Dissemination to end-users, especially farmers and resource managers a priority

  8. Medicinal Species for Conservation and Sustainable Use

  9. Succulent plant species of Kenya

  10. Thank you

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