Soils to Satellites

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Soils to SatellitesNCRIS Capabilities Well PlacedNCRIS capabilities have access to: • Vast volumes of Data (uniformly and non-uniformly

structured)• High levels of Technical Expertise • Advanced Technology & Technical Infrastructure.

Environmental Information Landscape for Australia

Soils to Satellites

ALA and ÆKOS – data comparison

• Systematics – classification• Breadth of life domains• Rich spatial layers for

location and environmental context and analysis

• 36m records - Museums and Herbaria, State agencies, NRMs, Citizen science

• Concentrates on species and specimen data and profiles

• Rich plot-based data• Depth of single domain• Contextual environmental

observations• Semantically federated and

integrated complex data• Output flexibility (first pass to

greater detail)• Describes biodiversity ‘look &

feel’ (ecosystem dynamics)

Biodiversity Data - ALA Ecological Data – ÆKOS

AEKOS supports rich, plot-based ecological data and leverages ALA complementary expertise in systematics, biodiversity and spatial platforms

Soils to SatellitesGreater Synergies PossibleGreater synergies between NCRIS capabilities possible by:• Increasing cross-capability collaboration and

communication• Improving interoperability between NCRIS

systems (including integration with non-uniformly structured data e.g. ecological & biodiversity data)

• Gaining familiarity of each other’s capabilities.

Soils to SatellitesSoils to Satellites addresses these needsIncubator project to:• demonstrate

• integration of disparate data independent of structure and standards

• collaboration and cooperation between NCRIS capabilities

• Value and power of mature ALA web services• contribute to and enrich ANDS Research Data Australia

platform• generate ‘real world’ feedback for future iterations.

Soils to SatellitesProject Overview•Australian National Data Service (ANDS) Applications Project• July 2012 – June 2013•Project Partners:

• TERN Eco-informatics• Atlas of Living Australia (CSIRO)

• Collaborators:• TERN MSPN/TREND • TERN AusCover

Soils to SatellitesIntegration of disparate dataTREND ecological data (ÆKOS, CSIRO NSA)• Plot-based plant community data• Soil characterisation data - structure, pH ,nutrients, carbon etc

Atlas of Living Australia (spatially represented data) • Species occurrence and distribution data• Environmental characteristics

TERN AusCover (biophysical remote sensing data)• multi-spectral characteristics of site.

TREND genomics data (BPA, SARDI, BGI, BOLD)• Opaque “blobs” of genomics data including barcode sequences, Soil Metagenomics data , isotope data

Soils to SatellitesCollaboration & Co-operation - bringing together technical expertise and technological infrastructure for mutual benefit.

Soils to Satellites

Now 2050

Benefits• Enables plot and data to be explored in

new ways• Exposes relationships not previously

possible.• Supports science questions

• Community composition and turn-over along environmental gradients

• Genetic differentiation and flow• Understanding environmental drivers• Current and predicted future species

distributions• Climate resilient and sensitive

communities/refugia.

Soils to SatellitesSpecific System Capabilities

• Discover study locations using a wide range of criteria

• Explore data from these locations, including data from multiple site visits

• Compare survey, biodiversity and environmental data between study locations and visits

• Extract data for offline analysis• Provide assistance to researchers in selecting

relevant data depending on the research question

Soils to SatellitesA “live” system!

Soils to SatellitesA “live” system – Study Location – Environmental Values

Soils to SatellitesA “live” system – Compare environment across locations

Soils to SatellitesA “live” system – Actual sampling units – Soil Character

This project is supported by the Australian National Data Service (ANDS)

ANDS is supported by the Australian Government through the National Collaborative Research Infrastructure Strategy Program and the Education Investment Fund (EIF) Super

Science Initiative