2015-10-06 iDigBio Collections and Ecology

Interoperability: Fomenting Opportunities at the Intersection of Collections and Ecology

Brian Wee, Ph.D.

Strategic Alliances

National Ecological Observatory Network (NEON), Inc.

2015-11-06

iDigBio Summit

Socio-ecological Systems

Data into Information and Knowledge

Sentinels

Measurements

• Pathogens
• Productivity
• Biomass
• Biogeochemistry

• Phenology
• Diversity
• Abundance
• Function

• Ticks
• Small Mammals
• Birds
• Fish
• Plants

• Soil
• Microbes
• Algae
• Aquatic Invertebrates
• Mosquitos

Soil Measurements

Aquatic Measurements

Atmospheric Measurements

• Temperature
• Moisture
• CO2
• Heat flux
• Root growth and phenology

• In-stream / in-lake
• Groundwater
• Underwater PAR
• Temperature
• Flow, depth

• Key climate inputs
• Bioclimatic variables
• Chemical climate inputs
• Carbon cycle changes
• Water & energy balance

(Exemplars limited by space constraint: omission does not imply irrelevance!)

Examples of potential conceptual affinities at the collections - NEON interface

NSF Environmental Observatories that share conceptual affinities

Questions at the nexus of land-use, climate change, and invasive species

Challenges:

• Spatio-temporal sampling regime

• Attributes beyond absence / presence (e.g. phenology)

Phenology as an indicator at different geographical scales

• (GLOB)al (I)nfrastructures for (S)upporting (B)iodiversity Research

• EU Horizon 2020 funded

• Address research needs and infrastructure services to calculate EBVs

• NEON, together with the NSF funded DataONE, are the two US liaison organizations

Credit: Ideas and materials based on Roadmap (September 2014)

The essential principle of traceability

Prototype Esri-NEON Tribal Lands Collaboratory (TLC) for plant phenology

What's needed

• A web-based "work-bench" that allows collaborators to share research products (code, data, documentation, tools).

• Many ways to implement this.

• Essential element: tracking and linking research products.

• Enable reproducibility.

Candidate technologies: Open Science Framework + Dropbox + Esri technologies (ODE)

An ode to tribal phenology

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