Towards Improvingt the BNZ LTER Core Data Sets. Types of Core Data Climate Hydrology Element Cycling Population Biodiversity.

Slides:



Advertisements
Similar presentations
V Alyssa Rosemartin 1, Lee Marsh 1, Ellen Denny 1, Bruce Wilson USA National Phenology Network, Tucson, AZ; 2 - Oak Ridge National Laboratory, Oak.
Advertisements

SCOPE OF DATA STREAM FLOW AND SOLUTE FLUXES Stream discharge gauging Stream water chemistry PRECIPITATION AND DEPOSITION NRCS Snow Survey and Snow Pillow.
EcoTrends: synthesizing long-term ecological data from across the US and beyond Project Leader: Debra Peters, USDA ARS, Jornada Experimental Range, Jornada.
LTER Planning Process Science Task Force (STF) Report to NSF September 2005.
LTER IM Articulation Work: Developing Community Web Recommendations Nicole Kaplan (SGS), Karen Baker (CCE, PAL), Barbara Benson (NTL), Eda Melendez-Colom.
National Soil Carbon Network Breakout Thanks to our rapporteur: Mark Waldrop participants.
SONet (Scientific Observations Network) and OBOE (Extensible Observation Ontology): Mark Schildhauer, Director of Computing National Center for Ecological.
2009 Mid–Term Review El Verde Field Station June 4, 2009.
Building the LTER Network Information System. NIS History, Then and Now YearMilestone 1993 – 1996NIS vision formed by Information Managers (IMs) and LTER.
Tools for Publishing Environmental Observations on the Internet Justin Berger, Undergraduate Researcher Jeff Horsburgh, Faculty Mentor David Tarboton,
U.S. Department of the Interior U.S. Geological Survey The National Research Program: Overview and Data preservation challenge Don Campbell NRP Central.
 Workshops: March & May 2011 and lots of VTCs! Details at:
© 2013 National Ecological Observatory Network, Inc. ALL RIGHTS RESERVED. THE NEON APPROACH TO DATA INGEST, CURATION, AND SHARING Christine Laney (Data.
ClimDB/HydroDB (ClimHy) Integration ClimHy has been migrated from AND to LNO and will remain status quo in 2011 – Public page (
Christine Laney Ken Ramsey Mark Servilla Information management issues and the Trends project: A drawing board for making cross-site comparisons feasible.
U.S. Department of the Interior U.S. Geological Survey CDI Data Management Working Group December 12, 2011 Sally Holl, USGS Texas Water Science Center.
LTER IM Town Hall Panel Challenges in Integrating Diverse Data for Ecological Synthesis Special Roles & Responsibilities for Information Managers.
LNO/IM Collaboration and Communication Work Group Looking for ways to enhance collaboration between LTER Information Managers (IMs) and the LTER Network.
ClimDB/HydroDB A web harvester and data warehouse for hydrometeorological data 2011 StreamChemDB Oct Yang Xia (LTER Network Office, University of.
EcoTrends THE GOOD, THE BAD AND THE UGLY (and lessons learned along the way) OR THE GOOD, THE BETTER AND THE BEST (as JP might say) Christine Laney.
Workshop on QC in Derived Data Products, Las Cruces, NM, 31 January 2007 ClimDB/HydroDB Objectives Don Henshaw Improve access to long-term collections.
Data Management Developing a Venue for Synthesis Jason Downing BNZ Data Management 2009.
Bonanza Creek LTER Information Management Information Management at BNZ Information Management Data & Metadata Website & Communication Education.
Knb.ecoinformatics.org LTER EML Best Practices Data Discovery in the Biological Sciences 7-9 February 2005 Mark Servilla LTER Network Office University.
Cushing; LTER ASM QA-QC Las Cruces, Jan 31-Feb 1, Grasslands ANPP Data Integration* JRN, SEV, SGS 1.Project History & BG (ANPP for Grasslands) 2.Data.
Presentation to the Biological and Environmental Research Advisory Committee December 3, 2002 by David Reichle 1 An Evaluation of the Department of Energy’s.
LTER Moving from Data to Information Management John Porter.
Charge to Breakout Groups How do we achieve more effective integration? 1. Among climate sensitivity tasks 2. With tasks in successional and threshold.
The LTER Network Office: An Overview of Recent Developments Robert B. Waide Executive Director.
The Long Term Ecological Research Network LTER. LTER Network Vision, Mission and Goals Network Vision: A society in which exemplary science contributes.
 Very specific, narrow focus  Google Maps API 1. Moved to LNO 2. Your view into SiteDB 1.Contact info, detailed site description, data links, site boundaries,
DATA-MODEL ASSIMILATION CHALLENGES AND OPPORTUNITIES IN THE LTER PROGRAM Debra Peters Lead Research Scientist, USDA ARS, Jornada Experimental Range, Las.
EcoTrends: a multi-agency synthesis project Project Leader: Debra Peters, USDA ARS, Jornada Experimental Range, Jornada Basin LTER & Sevilleta LTER, Las.
Jake F. Weltzin United States Geological Survey Taking the Pulse of our Planet The USA National Phenology Network.
VERTIGO data OCB database status update Cyndy Chandler Ocean Carbon and Biogeochemistry Data Management Office Cyndy Chandler Ocean Carbon and Biogeochemistry.
Strategies for Adding EML Support to the GCE Data Toolbox for Matlab Wade Sheldon Georgia Coastal Ecosystems LTER (WWW: gce-lter.marsci.uga.edu/lter)
Controlled Vocabulary VTC June 1, Agenda Review some past activities Plan some future activities.
Graduate Student Input 2006 Bonanza Creek LTER Symposium.
Using Desktop Data in Kepler Dan Higgins – NCEAS Prepared for: Ecoinformatics Training for Ecologists LTER (Albuquerque) January 8-12, 2007
Building the LTER Network Information System. NIS History, Then and Now YearMilestone 1993 – 1996NIS vision formed by Information Managers (IMs) and LTER.
LTER Data Management Margaret O’Brien Santa Barbara Coastal Long Term Ecological Research (LTER) Project Santa Barbara Channel Biodiversity Observation.
Network Information System EML status of LTER sites Iñigo San GilSep IM meeting, Estes Park ‘06.
Network Information System EML status of LTER sites Iñigo San GilAug 5th 2005 IM meeting, Montreal ‘05.
Jake F. Weltzin United States Geological Survey USA National Phenology Network Integrating phenology data across spatial and temporal scales.
Controlled Vocabulary Giri Palanisamy Eda C. Melendez-Colom Corinna Gries Duane Costa John Porter.
CALIFORNIA'S STATE WILDLIFE ACTION PLAN 2015 UPDATE A Conservation Legacy for Californians Armand Gonzales, Project Lead.
Long Term Ecological Research Network Office Trends Project Spaghetti & Linguine (aka Trends Data Store) Mark Servilla 14 September.
The US Long Term Ecological Research (LTER) Network: Site and Network Level Information Management Kristin Vanderbilt Department of Biology University.
EML Best Practices for LTER Site Metadata EML Best Practices Committee (Corinna Gries, Margaret O’Brien, Ken Ramsey, Wade Sheldon)
Information Management Jornada Basin LTER. Jornada Information management system Six major components: a)Data management implementation/process b)Management.
The Experience of Long Term Ecological Research Network in Taiwan Yue-joe Hsia [1] Hen-biau King [2] Ming-shiung Lin [3 ] [1] [2] [3 ] [1] [1] Institute.
LUQUILLO LONG-TERM ECOLOGICAL RESEARCH PROGRAM 18th Annual Meeting LUQUILLO LONG-TERM ECOLOGICAL RESEARCH PROGRAM Information Management Report January.
Band Dendrometer, Inventory, and Litterfall Data A.D. McGuire, R.W. Ruess, J.S. Clein, J.Yarie Ecological Question What is the sensitivity of AGNPP to.
LTER IM Meeting 2008 – Benson, Boose, Bohm, Gries, Gu, Kaplan, Koskela, Laney, Porter, Remillard, Sheldon and others.
LTER GIS Working Group Update Adam Skibbe and Theresa Valentine 2012 June Water Cooler.
Collaborative Project Database Margaret O’Brien, Corinna Gries, Wade Sheldon, Jonathan Walsh, John Porter, Sven Bohm, James Brunt, Suzanne Remillard, Ken.
The LTER Network Planning Grant Barbara Benson NTL-LTER.
XMC Cat: An Adaptive Catalog for Scientific Metadata Scott Jensen and Beth Plale School of Informatics and Computing Indiana University-Bloomington Current.
LTER issues – May 2015: Thanks for electing me! Thanks to Scott Collins! Plans for this meeting: – Science Council does science: Movement of inorganic.
Global Change Master Directory (GCMD) Mission “To assist the scientific community in the discovery of Earth science data, related services, and ancillary.
Long Term Ecological Research Network Information System LTER EML Status LTER Information Manager’s Meeting 28 July 2004 Mark Servilla
Network Information System Advisory Committee NISAC Activity Report 2007 LTER IM Meeting Wade Sheldon (GCE) Committee Co-chair.
Cushing – EIM Integrating Ecological Data Notes from the Grasslands ANPP Data Integration Project evergreen.edu LTER Network Office,
Strategies for NIS Development
Network Information System Advisory Committee (NISAC)
LTER Metadata Query Interface – Current Status and Future Challenges
USA-NPN National Coordinating Office
Development and Evolution of Rangelands West Content and Structure
Presentation transcript:

Towards Improvingt the BNZ LTER Core Data Sets

Types of Core Data Climate Hydrology Element Cycling Population Biodiversity

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

Opportunities for network-level analyses emerging from the TRENDS project Debra Peters Jornada Basin and Sevilleta LTER

Editorial committee Deb Peters (USDA ARS; JRN and SEV LTER, lead) Christine Laney (New Mexico State Univ; JRN LTER, project coordinator) Ariel Lugo (USFS, LUQ LTER) Scott Collins (Univ New Mexico, SEV LTER) Tim Kratz (Univ Wisconsin, NTL LTER) Mark Ohman (Univ Calif San Diego, CCE LTER) Peter Groffman (Institute Ecosystem Studies, BES and HBR LTER) Bob Waide (Univ New Mexico, LNO) Charley Driscoll (Syracuse Univ, HBR LTER) Morgan Grove (USFS, BES LTER) Charlene d’Avanzo (Hampshire College) Technical Staff James Brunt, Duane Costa, Mark Servilla, Inigo San Gil, Marshall White (UNM, LNO) Don Henshaw (USFS, AND LTER) Ken Ramsey (New Mexico State Univ, JRN LTER) Mark Schildhauer (NCEAS) Wade Sheldon (Univ Georgia, GCE LTER)

Objectives of Trends (1)to create a platform for synthesis by producing a compendium of easily accessible long term graphs and data from long-term ecological research sites (2) to illustrate the utility of this platform in addressing important within-site and network-level scientific questions

48 sites: 26 LTER, 17 USFS, 9 ARS, 1 UA

Products 1.Folio-sized book to be published by Oxford Univ. Press 2.Website (data, metadata) for synthesis and analysis Requirements of a dataset for inclusion 1.Ideally: ≥ 10 years data 2.Derived data (response over time) with links to raw data 3.Metadata: preferably in Ecological Metadata Language (EML)

LTER sites (PIs, IMs) -Develop EML for long term datasets -Provide long term data, metadata Jornada LTER-ARS -Collect long term datasets, metadata -Develop derived data and document procedure -Produce initial graphs for QA/QC -Organize editorial comm mtgs -Initial support for project coordinator -Produce graphs for the book -Initial web page and database development LTER Network Office -Assist sites in EML development -Fund editorial committee mtgs -Store final datasets and web page NCEAS -Assist Jornada LTER & LNO with automated EML harvesting, storage, and generation -Fund NCEAS travel to editorial comm mtg -Fund project coordinator travel to NCEAS for training QA/QC data and graphs Web page and database Material Information TRENDS editorial committee Book and web page content and design NSF Fund project coordinator and staff

Book organization 1. Introduction: value and importance of long-term research 2. Within-site graphs/tables arranged by four themes in the LTER Planning Process - Climate and variability in the physical environment, including disturbance characteristics - Human population and economy - Biogeochemistry (e.g., atmospheric deposition, surface water chemistry) - Biotic structure (e.g., ANPP, plant biomass, species richness) Standard graphs and illustrative graphs 3. Among-site comparison graphs e.g., atmospheric chemistry, N fertilization, climate variability 4. Site descriptions and photos organized by biomes Website organization: static and dynamic data and their associated metadata by themes with search, graph, and analysis tools

Goals Sept (LTER ASM) Book ca. 80% complete Website front-end plus static data sets Improve collaboration with CUAHSI Submission of book for publication Addition of dynamic datasets, more advanced querying, graphing, and analysis tools to website Long term link to education community (e.g., TIEE)

Trends Variables Each site has one or more variables associated with it using a one to many relationship based on SiteID Variables are indexed with VarID

Trends Sites that have Aboveground Net Primary Production (ANPP) data

Opportunities 1.Submit illustrative graphs for the book (Oct. 15, 2006) 2.Submit long-term data for the book (Oct. 15, 2006) and web page (Jan 2007) 3.Participate in synthetic analyses ENSO signals and responses – Mark Ohman Response to climate variability – Tim Kratz People, landuse, and vegetation – Morgan Grove ) Disturbances – Ariel Lugo ) N Fertilization – Scott Collins Atmospheric chemistry – Charley Driscoll ) State changes – Deb Peters

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

QA/QC Issues We need to automate QA/QC! We need help in making decisions to automate QA/QC! We need to plot out key core raw data variables and key core derived data variables within months of data collection!

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

Stream-lining Core Data Collection What variables do we need to cut back on across the monitoring program? Seed counts is the first variable that comes to mind. What sites should we cut back on monitoring?

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

Prioritizing data sets to populate the data base We need to decide on a strategy for getting the key raw core data sets and key derived core data sets online. Among the “PI” data sets, what could contribute to the goal of getting key derived core data sets online?

Issues Network Trends Project QA/QC Issues The need to stream line core data set collection The need to prioritize data sets to populate the data base The need for more PI involvement

The need for more PI Involvement Climate – under control Hydrology - Jay Jones Element Cycling NPP/Litterfall – McGuire Stream – Jay Jones Others? Population Veg – Teresa Animals - Knut Biodiversity Veg – Teresa Others