SpaCE: SPATIAL & COMMUNITY ECOLOGY LAB
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Continental-Scale Biology: Macrosystems Biology & Patterns of Biodiversity 

Project 1: Biodiversity Patterns & Drivers Across Scales - Project Website: https://neon-biodiversity.github.io/ 

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This NSF funded research includes a NSF EF EAGER-NEON award "Using Intraspecific Trait Variation to Understand Processes Structuring Continental-scale Biodiversity Patterns" (2015-2018), and a Macrosystems Biology award "Local- to Continental-Scale Drivers of Biodiversity" (2019-2024)). These projects utilize National Ecological Observatory Network (NEON) data on intraspecific trait variation, additional measurements from NEON organismal samples, and data related to NEON sites and samples (e.g., phylogenetic community structure) to determine how assembly processes internal to communities (e.g., biotic interactions, microenvironmental heterogeneity) and large-scale assembly processes external to communities (e.g., climate, land use, disturbance) combine to affect intraspecific trait variation and community structure across the continental United States.
Monitoring shifts in trait variation and can help detect species-level and community-level responses to disturbances, climate and land use change, and invasive species. 

  • Lab Members: Phoebe Zarnetske, Lala Kounta, Jasper Van doninck, ​Quentin Read, John Grady, Annie Smith, Chakata Hart, Cameo Chilcutt
  • Collaborators: Sydne Record (Bryn Mawr), Angela Strecker (Portland State), Benjamin Baiser (U Florida), Lydia Beaudrot (Rice University), Jonathan Belmaker (Tel Aviv University), Mao-Ning Tuanmu (Academica Sinica), Kate Thibault (NEON)
  • Funding: National Science Foundation EF EAGER-NEON (2016-2018); DEB MSB-MRA 1926567 (2019-2026), Michigan State University
  • ​Publications:
    • Kapsar et al. 2026 Scientific Data
    • Fluck et al. 2026 Global Ecology and Biogeography
    • McGrew et al. 2025 Journal of Animal Ecology
    • Fluck et al. 2024 Ecology and Evolution
    • Grady et al. 2024 Journal of Ecology
    • Liang et al. 2022 Nature Ecology & Evolution
    • Van doninck et al. 2021 Geoscience and Remote Sensing Symposium IGARSS
    • Smith et al. 2021 Methods in Ecology & Evolution
    • Kamoske et al. 2022 Global Ecology and Biogeography
    • Li et al. Ecosphere
    • Nagy et al. 2021 Ecosphere
    • Jarzyna et al. 2022 Ecosphere
    • Lamy et al. 2021 Oikos
    • Charney et al. 2021 Frontiers in Ecology and Evolution
    • Record et al. 2021 Frontiers in Ecology and Evolution
    • Grady et al. 2019 Science
    • Read et al. 2018 Biology Letters
    • Read et al. 2018 Ecography
    • Record et al. 2018 PLOS One
    • Grady et al. 2018 TIEE
    • Zarnetske et al. 2017 Current Landscape Ecology Reports
  • Project Website: https://neon-biodiversity.github.io/
  • Datasets & R Packages:
    • ​Smith et al. 2022. geodiv: Methods for Calculating Gradient Surface Metrics. R package version 1.0.5. https://CRAN.R-project.org/package=geodiv
    • Read et al. 2022. Ostats: O-statistics, or pairwise community-level niche overlap statistics. R package version 0.2.0. https://CRAN.R-project.org/package=Ostats
    • Smith et al. 2019. disturbr: Disturbance detection and attribution in R. R package version 0.1.0. https://github.com/AnnieCooper/disturbr-public  
  • GitHub: https://github.com/NEON-biodiversity

Project 2: bioXgeo (Connecting Biodiversity, Geodiversity, and Remote Sensing across Scales)

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Geodiversity is the variation in abiotic features and processes on Earth's surface. This NASA funded Working Group brings together scientists and practitioners in biodiversity and remote sensing to address two main research questions: 
(1) How do the relationships between biodiversity and geodiversity change across spatial scales?
(2) What derived NASA data products at particular spatial or temporal scales would transform the use of geophysical data by biodiversity scientists and practitioners?

Here is our Project Summary.
  • Lab Members: Phoebe Zarnetske, Quentin Read, John Grady, Annie Smith
  • Collaborators: Kyla Dahlin (MSU), Sydne Record (U Maine), Jennifer Costanza (NC State), Andrew Finley (MSU), Kieth Gaddis (AAAS/NASA), Martina Hobi (WSL), Andrew Latimer (UC Davis), Sparkle Malone (Yale), Scott Ollinger (UNH), Stephanie Pau (Florida State), Woody Turner (NASA), Adam Wilson (University at Buffalo, SUNY)
  • Funding: National Aeronautics and Space Administration (NASA) (2016-2020)
  • Publications:​
    • Smith et al. 2021 Methods in Ecology & Evolution
    • Read et al. 2020 Global Ecology and Biogeography
    • Schrodt et al. 2019 Proceedings of the National Academy of Sciences
    • Dahlin et al. 2019 Frontiers in Ecology and the Environment
    • Zarnetske et al. 2019 Global Ecology and Biogeography
    • Record et al. 2020 Chapter in: Remote Sensing of Biodiversity​ ​
  • Datasets & R Packages:​
    • ​Smith et al. 2022. geodiv: Methods for Calculating Gradient Surface Metrics. R package version 1.1.1. https://CRAN.R-project.org/package=geodiv
  • GitHub: https://github.com/bioXgeo

Project 3: Frugivoria: Biodiversity, Geodiversity, & Species vs. Functional Conservation

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Cloud forests are biodiversity hotspots but climate change is altering cloud layer distribution and thickness. Many of the species residing in cloud forests are data deficient, making it challenging to apply traditional species distribution models. We are working to improve the conservation assessments of a data-deficient species in the Northern Andes by incorporating occurring and functionally similar species occurrence data. This project focuses on filling gaps in functional trait data for frugivores (i.e., through publishing the open access functional trait database, Frugivoria), and investigating the spatial patterns of functional diversity across the biodiverse Neotropics. A portion of this project also builds on the bioXgeo project to investigate the role of geodiversity in explaining species' distributions at varying spatial scales.
  • Lab Members:  Phoebe Zarnetske, Beth Gerstner, Hazel Anderson, Aaron Guggenheimer, Taylor Stehouwer, Olivia Melville, Ashley Ezzo, Kate Kelly, Minali Bhatt, Erik Ralston, Arpita Nayak, Alison MacCormick, Caroline Blommel, Nellie Chalem, Emma Mushaka, Krymsen Hernandez, Danielle Miles
  • Funding: NASA FINESST (2020-2024), Michigan State University, MSU SROP
  • Publications: ​
    • Gerstner et al. 2025 Biological Conservation
    • Gerstner et al. 2024 Philosophical Transactions of the Royal Society A
    • Gerstner et al. 2023 Global Ecology and Biogeography
  • Datasets & R Packages:
    • Gerstner et al. 2023 Environmental Data Initiative (Frugivoria database)
  • GitHub: https://github.com/bioXgeo/neotropical_frugivores

Project 4: aquaXterra (Aquatic & Terrestrial Linkages)

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Quantifying linkages between biodiversity and productivity across aquatic and terrestrial realms—and how their relationship varies across spatial scales—is a needed area of research informing biodiversity-ecosystem functioning (BEF). Such investigations determine the spatial extent of interconnectivity of nutrient subsidies, species interactions and habitat use, as well as functional diversity among both realms. In combination with the LAke multi-scaled GeOSpatial and temporal database (LAGOS), we are integrating species occurrence, species trait, and satellite remotely sensed data across USGS Hydrologic Units with the goal of generating a publicly-accessible database. 

Goals:
  1. Build capacity for terrestrial-aquatic biodiversity science and management
  2. Synthesize disparate datasets from terrestrial and aquatic subdisciplines and monitoring networks; share resulting data products
  3. Analyze multi-scale patterns​ of biodiversity and productivity
  • Lab Members:  Phoebe Zarnetske, Laura Twardochleb, Quentin Read, ​Simone Oliphant, Jay Jain, Ethan Hiltner, Minali Bhatt, Erik Ralston
  • MSU Collaborators: Kyla Dahlin, Pat Soranno, Kendra Cheruvelil, Lifeng Luo, Aaron Kamoske
  • Funding:
    • MSU Environmental Science & Policy Program (ESPP) Watercube
    • NASA Earth and Space Science Fellowship (2017-2021)
  • Publications: ​​
    • Twardochleb et al. 2020 Global Ecology and Biogeography
    • Dahlin et al. 2021 Frontiers in Environmental Science
  • GitHub: https://github.com/aquaXterra

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