1 / 28

Guy Midgley, Mike Rutherford, Greg Hughes National Botanical Institute, Cape Town

Climate change and biodiversity : Developing tools for assessing impacts and their implications for conservation. Guy Midgley, Mike Rutherford, Greg Hughes National Botanical Institute, Cape Town. With acknowledgements: Paul Williams, London Nat Hist Mus. Conservation investment.

natashaw
Télécharger la présentation

Guy Midgley, Mike Rutherford, Greg Hughes National Botanical Institute, Cape Town

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Climate change and biodiversity: Developing tools for assessing impacts and their implications for conservation Guy Midgley, Mike Rutherford, Greg Hughes National Botanical Institute, Cape Town With acknowledgements: Paul Williams, London Nat Hist Mus

  2. Conservation investment

  3. Conservation investment Conserve species under natural conditions Conserve ecosystems and their natural processes Conserve habitats for maintaining biodiversity Maintain key processes (eg water yield) Support tourism and ecotourism Support livelihoods (eg wildflower, medicinal) Support commercial agri-business

  4. Conservation investment Protected Areas often selected ad hoc, developed before good species data were available, on land not wanted or less valuable Biodiversity no longer static, but dynamic!

  5. We address two main problems • How to predict climate change impacts on ecosystems and species (biodiversity) • How to assess ability of conservation strategies (current PA network) to cope with these impacts

  6. Species distribution 36o 34o Environmental variables Bioclimatic modeling method

  7. Species distribution Max temp envelope #records 36o 34o Environmental variables 36o 34o Maximum temperature Bioclimatic modeling method

  8. Future projectionrisk assessment Automated methods Access Species data Grads Climate data Arcview Data matching SPlus Statistical model

  9. Protea Atlas database (NBI) 330 species (Proteaceae), ~ 40 000 localities

  10. HadCM2

  11. Overall threat of climate change to Proteaceae diversity

  12. Fynbos Biome distribution: current and future Lowland species Montane species

  13. Leucospermumtomentosumdistribution: current and ~2050 (HadCM2excluding sulphates)

  14. Protea lacticolordistribution: current and future (HadCM2excluding sulphates) 20 km

  15. contract (highest risk) persist (safe) colonize (high risk) Displacement risk = 1 – persist/current

  16. Proteaceae - displacement risk

  17. contract (highest risk) persist (safe) colonize (high risk) Extinction risk proportional to range loss (with and without dispersal)

  18. Uncertainties Climate scenarios Spatial climate data (historic, current) Species distribution data Bioclimatic modelling approach Human land use Dispersal and establishment

  19. Wind-dispersal Ant-dispersal Knowledge about dispersal syndromes is critical

  20. Range size changes (HadCM2) (~250 Proteaceae, 2000 to ~2050)

  21. Automated methods Access Species data Dynamic range modelling method Climate data Grads Arcview Data matching SPlus Statistical model Protected area risk analysis Future projectionrisk assessment Simple range shift assumptions

  22. Time-slice models 2000 2010 2020 2030 2040 2050 (se scop)

  23. Richness of dispersal pathways for the 18 species that are committed to migration

  24. Human land use, intensity of transformation Dispersal pathways

  25. Automated methods Access Species data Dynamic range modelling method Climate data Grads Arcview Data matching SPlus Statistical model Protected area risk analysis Future projectionrisk assessment Simple range shift assumptions

More Related