Earth Data Science Lindsay Barbieri

Rubenstein School of Environment & Natural Resources “Our mission is to understand, nurture, and enrich the interdependence of people with healthy ecological systems.” Natural Resources = Interdisciplinary Earth Sciences?

“At the Gund Institute for Ecological Economics, we integrate natural and social sciences to understand the interactions between people and nature and to help build a sustainable future.” “In complex physical, biological, social and engineered systems, the self-organizing dynamics of interacting entities (be they molecules, cells, genes, bacteria, plants, birds, humans, nanobots, electrical substations, etc.) give rise to emergent system properties (such as consciousness, cancer, global warming, societies, etc.). Fortunately, many essential properties of such systems may be studied, modeled and understood using similar approaches, regardless of the application domain”

American Geophysical Union: Sections and Focus Groups connect you with other scientists in your research area. Historically, Sections are disciplinary while Focus Groups are interdisciplinary.

American Geophysical Union: Sections and Focus Groups connect you with other scientists in your research area. Historically, Sections are disciplinary while Focus Groups are interdisciplinary.

Hydrology Surface Runoff & Collection Stations Soil Leaching & Lysimeters Modeling Field Inundation

Biogeochemistry Nutrient Cycling Soil Chemistry Greenhouse Gas Emissions

Atmospheric Science Meteorological Stations Greenhouse Gas Concentrations How Climate Affects Land

GIS & Remote Sensing Drones NLCD & Landsat Imagery & Other “Remote” Data Collection

The Data: Monitoring of Two Hay Fields, Shelburne Farms Edge of Field Station Field 1 Non Aerated “Conventional” Field 2 Aerated “Best Management Practice (BMP)” Air Temperature Precipitation Water quality and field runoff * sampled every 15 minutes mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

The Data: Monitoring of Two Hay Fields, Shelburne Farms Non Aerated “Conventional” Air Temperature Precipitation Water quality and field runoff * sampled every 15 minutes Edge of Field Station Static Chambers Soil Gas Flux Soil Temperature Soil Moisture * sampled ~once a week June - October 2015 Field 2 Aerated “Best Management Practice (BMP)” mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

The Data: Two Hay Fields, Two Corn Fields Non Aerated “Conventional” Field 2 Aerated “Best Management Practice (BMP)” Field 1 Non Aerated “Conventional” Field 2 Aerated “Best Management Practice (BMP)” mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

The Data: Two Hay Fields, Two Corn Fields Non Aerated “Conventional” Field 2 Aerated “Best Management Practice (BMP)” Field 1 Non Aerated “Conventional” Field 2 Aerated “Best Management Practice (BMP)” mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

The Data: Economics and Ecosystem Services Valuation Biophysical Data mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

The Data: Full Project Adoption? Livelihoods? Policy? Leverage Points? Adaptation to Climate Change? PAR, Surveys, Agent Based Modeling Economics Ecosystem Services Biophysical Data mitigation is important… and becoming more of a theme in the scientific literature (search for “agriculture” and “climate”) -- take out CGIAR

Lessons Learned Interdisciplinary work is important to address societal & environmental challenges Data Management Plan → but researchers still seem lagging in what that means? Is this even the best terminology? Synthesis? Seems to be the goal, BUT researchers don’t seem to always know what the scaffolding should be to make sure that’s possible

Lessons Learned: Important Discussion What scales? (all!) Individual Research Project (IE: 5 PI’s on an interdisciplinary grant) “Big Picture” and synthesis / analytics across all Earth Science data