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Biological Databases of South Australia

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A systematic Biological Survey of South Australia began in 1984 to increase our ... SACOMMUNITY GROUPS (ie SA Mammal club) NATIONAL COMMUNITY GROUPS (i.e. Birds Aust) ... – PowerPoint PPT presentation

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Title: Biological Databases of South Australia


1
Biological Databases of South Australia BDBSA
Stuart Pillman Manager, Biological Survey,
Monitoring Databases Bio-Knowledge SA SA
Department of Environment and Heritage
2
Biological Survey of South Australia
3
  • A systematic Biological Survey of South
    Australia began in 1984 to increase our knowledge
    of the remaining plants and animals and to
    encourage their conservation.
  • State-wide coverage by 2015.
  • State Government provides funding for core staff
    and operations through the DEH budget
  • The Biological Survey and databases are
    supported by the SA Museum and State Herbarium
    who maintain critical reference collections of
    plants and animals and carry out vital taxonomic
    research.

4
  • 120 separate surveys completed and databased.
  • 19000 vegetation only quadrats/sites. 4000
    also include vertebrate and invertebrate
    sampling.
  • Sampling at the same site for both plants and
    animals so that ecological relationships can be
    established
  • Well established, thorough, consistent and
    documented standard methods are used
  • Future proof data
  • Plant voucher specimens lodged at State
    Herbarium (gt133,000)
  • Fauna voucher specimens lodged at SA Museum
    (gt19,000) including tissue for DNA
  • Majority of sample sites permanently marked.
    Standard Photopoint images taken.
  • Vegetation mapping.
  • Flora and fauna records supported by images
    (slides and digital).

5
Biological Databases of South Australia
6
Biological Databases of South Australia
ENVIRONMENTALAL DATABASES OF SA
BIOLOGICAL DATABASES OF SA(Oracle - Textual
systems)
Data StorageIMAGES SCIENTIFIC PERMITS ADHERBSURV
EYOPPORTUNEROADSIDE VEGETATION RESERVES
Data Sources BIOLOGICAL SURVEY (DEH) WETLANDS
INVENTORY (DEH) FIRE RESEARCH MONITORING
(DEH) THREATENED SP MONITORING RESEARCH
(DEH) SCIENTIFIC PERMITS (DEH) SACOMMUNITY GROUPS
(ie SA Mammal club) NATIONAL COMMUNITY GROUPS
(i.e. Birds Aust) NRM BOARDS THREATENED SPECIES
LEGISLATION FEDERAL AGENCIES
Products STRATEGIC PLANS SA DEH NATIONAL
BIODIVERSITY AUDIT AND SOE STATE SOE REPORT NRM
PLANS BIODIVERSITY PLANS BIOLOGICAL
SURVEYREPORTS VEGETATION MAPS EXTANT AND
PRE-EUROPEAN RECOVERY PLANS ENVIRONMENTAL IMPACT
ASSESSMENT FLORA AND FAUNA CENSUS AUST VIRTUAL
HERBARIUM ETC
Reference systemsFLORA VERTEBRATESLOOKUP TABLES
Holding systemsBUGS SA WETLANDS COCKATOOS SA
IMAGE REFERENCE SYSTEM ANIMAL ETHICS ETC
Proposed ModulesPHENOLOGY FIRE
RESPONSE MACROINVERTEBRATE WATER CHEMISTRY ETC
ENVIRONMENTAL GEOGRAPHIC INFORMATIONS
SYSTEM(Esri - Spatial systems)
OTHER GOVERNMENT SYSTEMSSA MUSEUM EPA PIRSA
REVEG REGISTER
NATIONAL SYSTEMS CSIRO ABRS
EXTERNAL SYSTEMS FLORLIST
DEH/DWLBC DEPENDENT SYSTEMSFIRE
REPORTING HERITAGE AGREEMENTS SCATTERED TREE
DATABASE ARID LANDS INFORMATION SYSTEM SPATIAL
DELIVERY SYSTEMS
7
Biological Databases of South Australia
BDBSA Characteristics
  • Primary system for the storage and management of
    DEH / SA Govt biological information for
    terrestrial species and communities.
  • Australias most comprehensive broad-based
    biological dataset? (2.5m records (including 3rd
    party datasets).
  • Metadata system to document dataset
    custodianship, scope etc
  • Integration and delivery of 3rd party (non DEH)
    datasets (i.e. Birds Aust, Universities,
    researchers (Scientific Permits), intra-state
    exchange. A variety of sources of biological
    data must be combined and made more accessible
    for the critical analyses needed to progress the
    development of the State in a way that improves
    ecological sustainability.
  • Provision of core taxonomic systems (with
    automated taxonomic update) used by other DEH and
    external biological systems (i.e. ALIS).
  • Store and manage biological data associated with
    point, quadrat, line segment, polygon and image
    data.
  • Managed by Biologists for biologists and
    supported by IT specialists.

8
Biological Databases of South Australia
Standards
  • Set, promote and where possible mandate data
    standards for biological projects and data
    exchange (minimum dataset). SA has pivotal role
    in facilitating national coordination.
  • For example
  • Plant taxonomy based on nationally agreed taxa
    and widespread adoption of taxonomic systems in
    SA.
  • Minimum data standards conform to Federal agency
    standards and where appropriate, agreed
    International standards.
  • On going participation in discussions regarding
    development and adoption of National and
    International data standards.
  • Participation in National Monitoring and
    Evaluation, Biodiversity Audit and State of the
    Environment reporting requires adoption
    nationally of consistent standards for data
    exchange and measuring changes/trends in
    biodiversity indicators.
  • Requirement for appropriate data standards
    through Scientific Permits system (SA NPW Act)
    and capacity for future prescription through the
    SA NRM Act.
  • Collaborative arrangements with tertiary
    institutions to promote data consistency standards

9
Assumption that data is public property
distribution and access is limited by system and
staffing capacity, delivery cost and record/data
sensitivity.
Delivery
  • DEH / State network
  • Data entry via Oracle forms and limited
    electronic data capture
  • ODBC access for data extraction, limited editing
    and GIS analysis
  • CITRIX (Terminal Server)
  • Custom MS Access applications.
  • ARCGIS custom applications, delivery of
    minimum dataset and ad-hoc spatial datasets
  • ARCIMS based EQuest for pre-packaged queries
  • External users
  • Map based data query application called
    NatureMaps on WWW (ARCIMS)
  • Customised data extraction and delivery to
    clients (consultants, students, agencies) cost
    of recovery (with licence agreement)

10
Issues
  • Client-base change
  • 0-5 years 1 user (50 input, 50
    output)
  • 5-16 years 5 users (30 input, 70 output)
  • 16-20 years 15 users (25 input, 75 output)
  • 20-23 years 20 users (10 input, 90 output)
  • 23-? years 1000s users (2 input, 98
    output)
  • As the client base expands exponentially
  • Tendency towards an increase in data users and
    corresponding reduction in the proportion of data
    contributors. With limited resources we risk
    shifting priorities from data management to data
    delivery (self defeating).
  • Expansion of range of data management
    requirements for data contributors. Increased
    pressure to maintain currency of systems.

11
Issues
  • As our client base has increased
  • Demand for access to data has increased
    exponentially
  • Data security and integrity issues increase
  • Data accuracy and documentation requirements
    increase (to cater for lowest common denominator
    client base)
  • Demand for expanded storage and analysis
    capacity increases new systems to reflect new
    priorities
  • Need for system reliability increases
  • Data misinterpretation and misuse increases
    Failure to recognise fit for purpose and data
    limitations (especially academics).
  • Resources for maintenance and development remain
    the same (effectively decrease)
  • Infrastructure costs increase
  • Resource allocation lags demand and expectation
    (7 years and counting)

12
Issues to work on!
  • Data management still not routinely costed as
    part of project.
  • Failure to recognise data degradation issues
    (especially biological data) and commit
    resources for ongoing data management.
  • Failure of scientists and managers to recognise
    and contribute to long term benefits by managing
    and integrating data for use beyond short term
    project horizons. Selfish behaviour - quick to
    mine data, slow to contribute.
  • Failure to recognise the complexity of
    biological datasets and design systems to
    minimise degradation issues. ie vouchering,
    minimum datasets, common fields, taxonomic
    change.
  • Failure of stakeholders to agree on low level
    dataset standards and capacity to readily link
    disparate datasets.
  • Failure of broad based adoption of agreed
    dataset standards.

13
Biological Databases of South Australia
  • Questions
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