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Shankar Aswani

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Main Research Interests: Ecological Anthropology, Human Behavioral Ecology, ... corals of all functional groups (massive, sub-massive, digitate, foliose, etc. ... – PowerPoint PPT presentation

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Title: Shankar Aswani


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  • Shankar Aswani
  • Associate Professor
  • University of California, Santa Barbara
  • Department of Anthropology and
  • Interdepartmental Graduate Program in Marine
    Science
  • Main Research Interests Ecological Anthropology,
    Human Behavioral Ecology, Property Rights of
    insular coastal groups, indigenous ecological
    knowledge of populations in Melanesia and the
    Insular Pacific in general and tropical marine
    ecology.
  • Areas of research Solomon Islands, Marquesas,
    Tonga, and Hawaii

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Research Objectives (1992-to date)
  • 1. The transformation of regional demographic
    patterns and their impact on common-property
    institutions (regional census, ascertaining
    coefficients of relatedness, and genealogical
    demography)
  • 2. Regional spatial patterns of settlement and
    their resulting tenurial configurations
    (interviews and GIS)
  • 3. The impact of changing consumption patterns on
    common-property institutions (income-expenditure
    analysis, time-allocation studies, nutritional
    surveys, Public goods games,)

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  • 4. Regional differences in cultural knowledge
    regarding tenure rules and their social and
    environmental consequences (questionnaires,
    interviews, and cultural consensus analysis)
  • 5. Documentation and integration of specialized
    indigenous ecological knowledge with Western
    science (questionnaires, structured and
    open-ended interviews, various marine science
    methods UVC, Reef Check Surveys, and GIS)
  • 6. A longitudinal analysis of marine harvesting
    patterns in the region (focal follows and
    foraging diaries/Creel surveys)

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Integrating Social and Natural Science for MPA
Network Implementation and Rural Development in
the Western Solomon Islands (1999-to date)

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Benthic Mapping Using Local Aerial Photo
Interpretation and Resident Taxa Inventories For
Designing Marine Protected Areas

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Converted marine ecological knowledge into geo-
spatial information
  • First, we established a base map layer by
    digitizing a set of 91 photographs
  • Next, we collected GCP so that the aerial
    photographs could be geo-rectified

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Benthic Mapping
  • Informants were selected to be the photo
    interpreters based on their knowledge of the
    marine environment and their overall fishing
    experience.
  • The informants then selected the most
    knowledgeable person from their group and
    cooperatively drew the boundaries of abiotic and
    biotic substrates using a felt-tip marker
    directly on the photograph.
  • The resulting paper map, with the respective
    benthic types drawn on it by local informers, was
    scanned, and the image files were loaded into the
    GIS for geo-rectification

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  • After geo-referencing, each of the boundaries was
    traced using on-screen digitizing techniques that
    created polygons (shape files) of each of the
    benthic substrates
  • Conventional quadrat field dive surveys were
    utilized to measure the accuracy of substrate
    identification by local informants
  • In our point-to-point comparison for the accuracy
    assessment, we compared the dominant abiotic
    and/or biotic benthic attributes (not entire
    habitats) identified by local informants and
    divers for each area

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Taxa Inventory
  • Interviewing fishermen and mapping the seascape
    as they conceptualised their marine environment
  • Recorded (and ranked) the presence and
    distribution of common fish species and the
    locations of spawning, nursery, burrowing, and
    aggregating sites for particular species within
    each recognized ground and associated benthic
    areas
  • The spatial extent of the area (represented as
    polygons) and the location of particular
    biological characteristics (represented usually
    as points) collected with the Global Positioning
    System (GPS)
  • For ground thruthing, we conducted visual counts.
    We selected eleven locally identified species
    that were easily recognizable during visual
    surveys (non-cryptic species)

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  • Cognitive Map of the Seascape

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Mixed with Scleractinian corals of all
functional groups (massive, sub-massive,
digitate, foliose, etc.) It is possible that
some dead coral (DC) may have been identified
as rock (RC) by the student-researcher and
local divers conducting the visual survey
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  • Equivalence rates between indigenous aerial photo
    interpretations of dominant benthic substrates
    and in situ dive surveys ranged between 75 and 85
    percent for a moderately detailed classification
    scheme of the benthos, which included 9 locally
    defined abiotic and biotic benthic classes for
    the MPA seabed.
  • The taxa inventory study showed a strong
    correspondence between the qualitative
    predictions of local fishermen and the
    quantitative analysis of non-cryptic species
    distribution, including their relative abundance
    and geophysical locations. Indigenous peoples
    predictions about the presence or absence of fish
    in different benthic habitats corresponded 77
    and 92 of the time (depending on scoring schema)
    with in situ visual measurements.

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Integrate GIS-IEK aids in spatially identifying
(1) habitat diversity (or lack thereof), (2)
biogeographical representation (3) vulnerable
habitats and life-stages (4) sites of rare
and/or endangered species, and (5) locations of
exploited species.
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Other applications include the GIS mapping of
fishing behaviour
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Fishing behaviour was displayed geo-spatially
  • The data was gathered by means of a regional
    creel survey
  • Focal Follows (around 1000)
  • Diary Method (over 10000 fishing events)
  • Both used to estimate mean net return rates

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Geo-referencing of fishing behaviour permits the
visualization of(1) spatio-temporal human
resource exploitation patterns, (2) human
responses to inter- and intra-habitat relative
productive variability and its influence on
fishing strategies, and (3) human threats to
particular marine habitats.
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Conclusions
  • 1. These examples show the power of geomatics in
    revealing site specific spatio-temporal patterns
    of human and ecological dynamics
  • 2. Demonstrate how using local knowledge and
    activities for building a GIS and management plan
    is a cost-effective way of attaining missing
    scientific data that is essential for selecting
    biodiversity conservation priority areas

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3. Participatory GIS has the double benefit of
empowering indigenous peoples to map their lands
and sea territories while furnishing a research
context for them to contribute important insights
about their environment. 4. Integrative natural
and social science approaches can yield positive
social and biological results when local people
participate directly in MPA design and
implementation
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  • The popularity of MPAs as a fisheries management
    tool calls for design principles which integrate
    various research approaches more comprehensively.
  • It is also essential that we offer the
    stakeholders who are going to have to accept or
    reject a marine protected area an equal voice in
    its design, demarcation, implementation, and
    monitoring process.
  • Management regimes that are truly participatory
    and which may sustain social and biological
    resources in the long term are achievable.
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