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Conservation International biodiversity mapping initiatives

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Conservation International biodiversity mapping initiatives Who are CABS-CI? Why map biodiversity? What initiatives exist? Conservation International Founded: 1987 ... – PowerPoint PPT presentation

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Title: Conservation International biodiversity mapping initiatives


1
Conservation Internationalbiodiversity mapping
initiatives
  • Who are CABS-CI?
  • Why map biodiversity?
  • What initiatives exist?

2
Conservation International
  • Founded 1987
  • FY99 turnover 85m
  • Field programs 30 countries worldwide
  • Staff gt1,000
  • Mission to conserve the Earth's living natural
    heritage, our global biodiversity, and to
    demonstrate that human societies are able to live
    harmoniously with nature

3
CIs Field Programs
4
Center for Applied Biodiversity Science
  • Established in 1999 with a dual mandate to
  • a) Supporting science in CIs field programs
  • b) Facilitate stronger interaction between
    science and conservation generally
  • Mission to strengthen our ability to respond
    rapidly, wisely and effectively to emerging
    threats to the Earth's biological diversity

5
Why map (surrogates of) biodiversity?
  • a) Identifying and filling survey gaps
  • b) Biogeography and macroecology
  • c) Assessing representation and prioritization
    for conservation

6
Mapping museum specimens
  • Points showing area of occupancy
  • Undoubtedly the best biodiversity data can
    always be degraded to coarser resolution, but
    not vice versa
  • but, expensive and time- consuming to collect
    and compile, causing errors of omission (false
    absences)

7
Identifying survey gaps museums
  • Reptiles of Sub-Saharan Africa (Biodiversity
    Foundation for Africa/Natural History Museum of
    Zimbabwe Bulawayo)
  • Reptiles of Melanesia and the Pacific (Bernice
    Pauahi Bishop Museum Honolulu)
  • Birds of Colombia (Natural History Museum
    London Instituto de Ciencias Naturales
    Instituto Alexander von Humboldt Bogotá)
  • Bats of PNG (Papua New Guinea National Museum and
    Art Gallery Port Moresby)
  • Plus Threatened Birds of Asia (BirdLife
    International Cambridge) see
    http//www.rdb.or.id

8
The distribution of Great Indian Bustard Ardeotis
nigricepsFrom Collar et al. (2001) Threatened
Birds of Asia the BirdLife International Red
Data Book. BirdLife International, Cambridge, UK

9
Filling survey gaps RAP
TERRESTRIAL RAP AQUARAP MARINE RAP
10
Inductive range modelling
  • Overlay habitat maps to determine environmental
    envelope
  • Extrapolate to surrounding areas within the
    envelope
  • Errors of commission (false presences) beyond
    the extent of occurrence (due to role of history)

11
Why map (surrogates of) biodiversity?
  • a) Identifying and filling survey gaps
  • b) Biogeography and macroecology
  • c) Assessing representation and prioritization
    for conservation

12
Mapping species ranges
  • Polygons of extent of occurrence
  • Largely restricted to birds and large mammals
  • Easy to interpret, e.g., for field guides
  • Errors of commission within the extent of
    occurrence

13
Computerizing species ranges
  • Birds and mammals of the Americas (CABS- CI,
    ABI-TNC, WWF-US)
  • Mammals of Asia (Univ. of Virginia)
  • Birds and mammals of Melanesia (CABS-CI)
  • Birds, mammals and amphibians of Africa (ZMUC,
    Univ. of Cambridge, Natural History Museum
    London, CABS-CI)

14
  • Species richness in all African mammals, birds,
    snakes, and amphibians, mapped on a 1-degree grid
  • From Brooks et al. (in press) BioScience

15
Deductive range modelling
  • Assign habitat preferences to each species
  • Identify these suitable habitats on habitat map
  • Cut suitable habitats by species extent of
    occurrence

16
  • Modelled distribution of South African Crested
    Porcupine Hystrix africaeaustralis
  • From Boitani et al. (1999) A Databank for the
    Conservation and Management of the African
    Mammals. Instituto Ecologia Applicata, Rome, Italy

17
Why map (surrogates of) biodiversity?
  • a) Identifying and filling survey gaps
  • b) Biogeography and macroecology
  • c) Assessing representation and prioritization
    for conservation

18
Representation exercises
  • Ecoregions (Olson Dinerstein 1998)
  • Include aquatic and marine
  • Terrestrial vertebrates now listed by ecoregion
  • Prioritization (Global 200)

19
  • Ecoregions of the Philippines
  • From Wikramanayake et al. (in press) Terrestrial
    Ecoregions of the Indo-Pacific a Conservation
    Assessment. Island Press, Washington, D.C., USA

20
Hotspots of biodiversity
  • Conservation prioritization
  • Ecoregions w/ high endemism and threat
  • gt1,500 (0.5 global) plant endemism
  • Endemism estimated, not listed
  • Myers (1988, 1990), Mittermeier et al. (1998,
    1999), Myers et al. (2000)

21
HotspotsFrom Myers et al. (2000) Nature 403
853-858)
22
Current hotspots efforts
  • Major Tropical Wilderness Areas high
    endemism but low threat
  • 10 more hotspots 1,000 endemics
  • Natural break in plant endemism appears to fall
    at 500-1,000 endemics
  • Dynamism considering threat

23
Current hotspots efforts
24
Other global prioritization exercises
  • Endemic Bird Areas ecoregions with 2 bird
    species with ranges of lt50,000 sq. km
    (Stattersfield et al. 1998)
  • Centers of Plant Diversity ecoregions and
    sites thought to be priorities for plant
    conservation (IUCN WWF 1994, 1995, 1997)

25
Conservation Priority-Setting Workshopsincreasin
g spatial resolution
26
Corridorplanninglinking protected areas with
biodiversity-friendly land use
27
Other regional prioritization exercises
  • Important Bird Areas sites holding
    threatened, restricted-range or biome endemic
    species, or unusual concentrations (BirdLife
    International)
  • Ecoregion-Based Conservation through
    specialist workshops (WWF)

28
Outstanding problems
  • Data still incomplete at all levels
  • Free, public, global access to data the
    internet provides the mechanism
  • Referencing and dating every species- in-mapping
    -unit record
  • System for continuous data updates quality vs
    quantity
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