Session: Big Data in Ecology: Methods and Tools (2020 ESA Annual Meeting (August 3

PS 48-

Mapping of protected areas within the R packages
Milena D. Lakicevic, Faculty of Agriculture, University of Novi Sad; Keith M. Reynolds, USDA Forest Service, Pacific Northwest Research Station

PS 48-

Modeling emerging pollutant concentrations from human population density
Anthony DiPippa, Kent State University; Xiaozhen Mou, Kent State University

PS 48-

Using CUAHSI’s data services to facilitate interdisciplinary collaboration and dissemination of aquatic sciences data
Julia Masterman, Consortium of Universities for the Advancement of Hydrologic Science, Inc.; Jerard Bales, Consortium of Universities for the Advancement of Hydrologic Science, Inc.

PS 48-

Applied ecological forecasting within the federal research and natural resource management communities
Jake Weltzin, US Geological Survey; John B. Bradford, U.S. Geological Survey; Jill Baron, US Geological Survey; Molly L. McCormick, U.S. Geological Survey

PS 48-

High resolution data analytics of meso environmental differences between tree islands and meadows of the subalpine Wasatch Plateau, Utah, USA
Sarahkate Orr, Brigham Young University; Josh Gilman, Brigham Young University; Colin Campbell, METER Group, Inc.; Richard A. Gill, Brigham Young University

PS 48-

Potential land surface temperature: A novel approach to studying forest regeneration failure
Robin Rank, University of Montana; Solomon Dobrowski, University of Montana; Marco Maneta, University of Montana; Leonardo Calle, Florida Atlantic University; Zachary Holden, USDA Forest Service

PS 48-

Survey of avian fauna in three microhabitats at Campanario Biological Station
Nora Honkomp, Kent State University; Trixie Taucher, Kent State University; Oscar J. Rocha, Kent State University

PS 48-

A seasonal study of ecoroof hydrology and chemistry, and its associated environmental drivers on a commercial building in North Portland, Oregon
Alex Bans, Portland State University; Olyssa Starry, Portland State University

PS 48-

Soils Data Harmonization (SoDaH): A framework and tools for harmonizing and aggregating cross-study soil organic matter data
Stevan Earl, Arizona State University; Will R. Wieder, University of Colorado; Derek N. Pierson, Oregon State University

PS 48-

A hierarchical, multivariate meta-analysis approach to synthesizing global change experiments
Kiona Ogle, Northern Arizona University; Yao Liu, Oak Ridge National Laboratory; Sara Vicca, University of Antwerp; Michael Bahn, University of Innsbruck

PS 48-

Metabolomics of sequestered chemical defenses in lepidopteran herbivores
Abrianna Soule, University of Utah, University of Michigan

PS 48-

Tiny green islands: Patchy urban and semi-urban habitats host a wide diversity of bryophytes
Lama Tawk Cota, Kent State University

PS 48-

Tracking forestry‘s post-harvest carbon cycle in global supply-and-use chain
Xiaobiao Zhang, Research Center for Eco-Environmental Sciences, Chinese Acadamy of Sciences; Jiaxin Chen, Ministry of Natural Resources and Forestry, Ontario Forest Research Institute; Manfred Lenzen, The University of Sydney; Pau Brunet-Navarro, Universitat Politècnica de València; Ana Cláudia Dias, University of Aveiro; Hongqiang Yang, Nanjing Forestry University; Zhiyun Ouyang, Chinese Academy of Sciences; Shuai Shao, Shanghai University of Finance and Economics

PS 48-

Effects of grazing and nitrogen deposition on soil methane and nitrous oxide: A 6-year experimental evidence from typical grassland
Fujiang Hou, State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China; Zhen Wang, Lanzhou University; Xiumin Zhang, Lanzhou University; Mengyuan Wang, Ulster University

PS 48-

A toolbox for the rigorous integration of remote sensing and organismal occurrence data
Richard Li, Yale University; Ajay Ranipeta, Yale University; John Wilshire, Yale University; Robert P. Guralnick, Florida Museum of Natural History; Adam M. Wilson, University at Buffalo; Walter Jetz, Yale University

PS 48-

How to catalog your ecological data for open access science
An Nguyen, The University of Texas at Austin; M. Gastil-Buhl, University of California, Santa Barbara; Timothy Whiteaker, The University of Texas at Austin; Li Kui, University of California, Santa Barbara; Margaret O'Brien, University of California, Santa Barbara

PS 48-

Museum collections of trees correspond to their field abundance, though common trees are under-collected and rare trees are over-collected
Richard Primack, Boston University; Matt Rothendler, Boston University; Nicholas J. Gotelli, University of Vermont

PS 48-

Annotating metadata to improve data discovery and reuse
Kristin Vanderbilt, University of New Mexico; Corinna Gries, University of Wisconsin; Margaret O'Brien, University of California, Santa Barbara

PS 48-

Gas analyzer inter-comparison field experiment for ensuring compatibility of the sensors in KoFlux
Minseok Kang, National Center for AgroMeteorology; Sungsik Cho, Seoul National University, National Center for AgroMeteorology; Jongho Kim, National Center for AgroMeteorology; Kyung-Ha Hong, B&P International Co. Ltd.

PS 48-

Plant metabarcoding as a tool for dietary composition analysis: successes and limitations
Tess Stapleton, University of Utah; Sara B. Weinstein, University of Utah; Robert Greenhalgh, University of Utah; M. Denise Dearing, University of Utah

PS 48-

Streamline QA/QC for observational data
Li Kui, University of California, Santa Barbara; Kristin Vanderbilt, University of New Mexico; John H. Porter, University of Virginia

PS 48-

Data citation: Getting credit for the data you publish!
Corinna Gries, University of Wisconsin; Kristin Vanderbilt, University of New Mexico; Margaret O'Brien, University of California, Santa Barbara; Mark S. Servilla, University of New Mexico

PS 48-

Calibration strategies for NEON carbon and water vapor isotope observations and cross-network patterns
Richard Fiorella, University of Utah; Jessica Guo, University of Utah; Stephen P. Good, Oregon State University; Scott T. Allen, University of Nevada Reno; William Anderegg, University of Utah; Catherine Finkenbiner, Oregon State University; Linnia R. Hawkins, Oregon State University; David Noone, University of Auckland; Christopher Still, Oregon State University; Gabriel J. Bowen, University of Utah

PS 48-

Use of machine learning to extract patterns from long-term monitoring data across the US
Kristen Underwood, University of Vermont; John Hanley, University of Vermont; Donna M. Rizzo, University of Vermont; Gary Sterle, University of Nevada; Adrian Harpold, University of Nevada; Thomas Adler, University of Vermont; Li Li, Pennsylvania State University; Hang Wen, Pennsylvania State University; Julia N. Perdrial, University of Vermont

PS 48-

A systematic review of opportunistic species occurrence data in the literature: Data sources, structure, and analysis methods
Caitlin Mandeville, Norwegian University of Science and Technology; Anders G. Finstad, Norwegian University of Science and Technology; Wouter Koch, Norwegian Biodiversity Information Centre; Erlend B. Nilsen, Norwegian Institute for Nature Research

PS 48-

R from start to finish: Organizing your dissertation work with a reproducibility mindset using R and RStudio
Javiera Rudolph, University of Florida

PS 48-

Improving efficiency and transparency in ecological risk assessment
Richard Rice, US Environmental Protection Agency; Caroline E. Ridley, US EPA, Center for Public Health and Environmental Assessment; S. Douglas Kaylor, US Environmental Protection Agency; Jennifer L. Nichols, U.S. EPA; Jean-Jacques Dubois, US Environmental Protection Agency; Andrew J. Shapiro, U.S. EPA

PS 48-

Effects of sample size and network depth on a deep learning approach to species distribution modeling
Donald Benkendorf, Utah State University; Charles P. Hawkins, Utah State University

PS 48-

Improvements in daymet continental-scale gridded daily temperature and precipitation estimates
Michele Thornton, Oak Ridge National Laboratory; Rupesh Shrestha, Oak Ridge National Laboratory; Peter E. Thornton, Oak Ridge National Laboratory; Shih-Chieh Kao, Oak Ridge National Laboratory; Yaxing Wei, Oak Ridge National Laboratory; Bruce E. Wilson, Oak Ridge National Laboratory

PS 48-

Integrated monitoring to inform public land management: The BLM’s AIM program and its publicly available dataset for the western U.S.
Jennifer Courtwright, Utah State University; Scott Miller, Utah State University, Bureau of Land Management; Lindsay Reynolds, Bureau of Land Management; Emily Kachergis, United States Department of Interior; Sarah McCord, USDA-ARS Jornada Experimental Range; Joanna Lemly, Colorado State Natural Heritage Program; Nicole Cappuccio, Bureau of Land Management; Sarah Burnett, Bureau of Land Management

PS 48-

Whither ecological team science: Evaluating what works
Louis J. Gross, University of Tennessee; Pamela Bishop, University of Tennessee; Tyler Poppenwimer, The University of Tennessee, University of Tennessee

PS 48-

Automatic detection of periodic vocalizations in audio recordings
Samuel Lapp, University of Pittsburgh; Justin A. Kitzes, University of California

PS 48-

Comparing methods to disentangle habitat predictors for wolverines in the southern extent of their distribution
Kathleen Carroll, Montana State University; Andrew Hansen, Montana State University; Robert Inman, Montana Fish, Wildlife and Parks; Rick Lawrence, Montana State University

PS 48-

NEON: Forecasting carabid beetle dynamics across forest microenvironments
Anna Spiers, University of Colorado; Luis Allende, University of Colorado; Kendi Davies, University of Colorado; Maxwell B. Joseph, University of Colorado; Brett Melbourne, University of Colorado; Christa Torrens, University of Colorado; Grant Vagle, University of Colorado

PS 48-

Creating accessible dynamic maps of past climate-driven species distribution shifts through online web-mapping tools
Anna George, University of Wisconsin-Madison; John W. Williams, University of Wisconsin-Madison; Robert Roth, University of Wisconsin-Madison; Sydney Widell, University of Wisconsin-Madison; Simon J. Goring, University of Wisconsin-Madison; Scott S. Farley, Mapbox; Jessica L. Blois, University of California - Merced; Eric C. Grimm, Illinois State Museum; Thomas Giesecke, University of Göttingen, Utrecht University; Mamata Akella, CartoDB Inc.

PS 48-

Interactive long-term forecasts for the phenology and productivity of Western rangelands
Shawn D. Taylor, USDA Agricultural Research Service, Jornada Experimental Range; Dawn Browning, USDA - Agricultural Research Service

PS 48-

Effects of ozone on growth of sensitive herbaceous plants in California: Combining air quality data with controlled exposure experiments
Jeffrey Herrick, US Environmental Protection Agency; Sara J. Snell, University of North Carolina; S. Douglas Kaylor, US Environmental Protection Agency

PS 48-

Integration of state-of-the-art approaches in remote sensing, machine learning, and land surface models to evaluate global terrestrial evapotranspiration
Shufen Pan, Auburn University; Naiqing Pan, Auburn University; Hanqin Tian, Auburn University; Pierre Friedlingstein, University of Exeter; Stephen Sitch, University of Leeds; Hao Shi, Auburn University; Vivek Arora, Canadian Centre for Climate Modelling and Analysis; Vanessa Haverd, CSIRO Oceans and Atmosphere; Atul Jain, University of Illinois; Etsushi Kato, Institute of Applied Energy (IAE); Sebastian Lienert, Climate and Environmental Physics, Physics Institute, University of Bern; Danica Lombardozzi, National Center for Atmospheric Research; Julia Nabel, Max Planck Institute for Meteorology; Catherine Ottlé, LSCE-IPSL-CNRS, Orme des Merisiers; Benjamin Poulter, NASA Goddard Space Flight Center; Sönke Zaehle, Max-Planck Institute for Biogeochemistry; Steve W. Running, University of Montana

PS 48-

Improving species distribution models with habitat summaries extracted from remote sensing imagery with deep learning methods
Laurel Hopkins, Oregon State University; Ulises Zaragoza, Oregon State University; Rebecca Hutchinson, Oregon State University

PS 48-

Fusing multiple data sources for better forecasting models of forest insect outbreaks
Philippe Marchand, Université du Québec en Abitibi-Témiscamingue; Miguel Montoro Girona, Université du Québec en Abitibi-Témiscamingue; Mathieu Bouchard, Ministère des Forêts, de la Faune et des Parcs; Hubert Morin, Université du Québec à Chicoutimi

PS 48-

Long term data required to establish trajectories of populations in Lyme disease transmitting deer ticks (Ixodes scapularis)
Rowan Christie, Rochester Institute of Technology; Kaitlin Stack Whitney, University of Wisconsin-Madison; Christie Bahlai, Kent State University

PS 48-

Estimation of wood volume and hurricane damage from remotely sensed data
Andrew Whelan, The Jones Center at Ichauway; Seth Bigelow, The Jones Center at Ichauway; Jeffery B. Cannon, University of Georgia

PS 48-

Applying long short term memory (LSTM) to predict leaf area index
Naiqing Pan, Auburn University; Shufen Pan, Auburn University; Chen Jiang Sr., Auburn University; Hanqin Tian, Auburn University

PS 48-

The literature as a gateway to data across domains: Comparing the information behavior of scientists locating data for reuse while reading journal articles
Gretchen Stahlman, Rutgers University

PS 48-

Leveraging open-access time series data to understand flood responses in Great Plains rivers
David W. P. Manning, University of Nebraska at Omaha; Jessica R. Corman, University of Nebraska-Lincoln

PS 48-

Augmenting CAMELS (Catchment Attributes and Meteorology for Large-sample Studies) with atmospheric and stream water chemistry data
Gary Sterle, University of Nevada; Julia N. Perdrial, University of Vermont; Thomas Adler, University of Vermont; Kristen Underwood, University of Vermont; Donna M. Rizzo, University of Vermont; Hang Wen, Pennsylvania State University; Li Li, Penn State University; Adrian Harpold, University of Nevada

PS 48-

Big data from citizen science: The QA/QC challenges democratized science
William Ellis, Saint Leo University

PS 48-

An appraisal research on the progress of international ecological modernization construction in 1990-2017
Geng Yan, Beijing Forestry University; Yang Liu, Beijing Forestry University; Yang Cheng Fan, Beijing Forestry University

PS 48 - Big Data in Ecology: Methods and Tools