AG真人百家乐官方网站

Skip to main content
NSF NEON, Operated by Battelle

Main navigation

  • AG真人百家乐官方网站 Us
    • Overview
      • Spatial and Temporal Design
      • History
    • Vision and Management
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups (TWGs)
    • FAQ
    • Contact Us
      • Contact NEON Biorepository
      • Field Offices
    • User Accounts
    • Staff
    • Code of Conduct

    AG真人百家乐官方网站 Us

  • Data & Samples
    • Data Portal
      • Spatial Data & Maps
    • Data Themes
      • Biogeochemistry
      • Ecohydrology
      • Land Cover and Processes
      • Organisms, Populations, and Communities
    • Samples & Specimens
      • Discover and Use NEON Samples
        • Sample Types
        • Sample Repositories
        • Megapit and Distributed Initial Characterization Soil Archives
      • Sample Processing
      • Sample Quality
    • Collection Methods
      • Protocols & Standardized Methods
      • Airborne Remote Sensing
        • Flight Box Design
        • Flight Schedules and Coverage
        • Daily Flight Reports
          • AOP Flight Report Sign Up
        • Camera
        • Imaging Spectrometer
        • Lidar
      • Automated Instruments
        • Site Level Sampling Design
        • Sensor Collection Frequency
        • Instrumented Collection Types
          • Meteorology
          • Phenocams
          • Soil Sensors
          • Ground Water
          • Surface Water
      • Observational Sampling
        • Site Level Sampling Design
        • Sampling Schedules
        • Observation Types
          • Aquatic Organisms
            • Aquatic Microbes
            • Fish
            • Macroinvertebrates & Zooplankton
            • Periphyton, Phytoplankton, and Aquatic Plants
          • Terrestrial Organisms
            • Birds
            • Ground Beetles
            • Mosquitoes
            • Small Mammals
            • Soil Microbes
            • Terrestrial Plants
            • Ticks
          • Hydrology & Geomorphology
            • Discharge
            • Geomorphology
          • Biogeochemistry
          • DNA Sequences
          • Pathogens
          • Sediments
          • Soils
            • Soil Descriptions
        • Optimizing the Observational Sampling Designs
    • Data Notifications
    • Data Guidelines and Policies
      • Acknowledging and Citing NEON
      • Publishing Research Outputs
      • Usage Policies
    • Data Management
      • Data Availability
      • Data Formats and Conventions
      • Data Processing
      • Data Quality
      • Data Product Bundles
      • Data Product Revisions and Releases
        • Release 2021
        • Release 2022
        • Release 2023
        • Release 2024
        • Release-2025
      • NEON and Google
      • Externally Hosted Data

    Data & Samples

  • Field Sites
    • AG真人百家乐官方网站 Field Sites and Domains
    • Explore Field Sites

    Field Sites

  • Impact
    • Observatory Blog
    • Case Studies
    • Papers & Publications
    • Newsroom
      • NEON in the News
      • Newsletter Archive
      • Newsletter Sign Up

    Impact

  • Resources
    • Getting Started with NEON Data & Resources
    • Documents and Communication Resources
      • Papers & Publications
      • Outreach Materials
    • Code Hub
      • Code Resources Guidelines
      • Code Resources Submission
    • Learning Hub
      • Science Videos
      • Tutorials
      • Workshops & Courses
      • Teaching Modules
    • Research Support Services
      • Field Site Coordination
      • Letters of Support
      • Mobile Deployment Platforms
      • Permits and Permissions
      • AOP Flight Campaigns
      • Research Support FAQs
      • Research Support Projects
    • Funding Opportunities

    Resources

  • Get Involved
    • Advisory Groups
      • Science, Technology & Education Advisory Committee
      • Technical Working Groups
    • Upcoming Events
    • NEON Ambassador Program
      • Exploring NEON-Derived Data Products Workshop Series
    • Research and Collaborations
      • Environmental Data Science Innovation and Inclusion Lab
      • Collaboration with DOE BER User Facilities and Programs
      • EFI-NEON Ecological Forecasting Challenge
      • NEON Great Lakes User Group
      • NEON Science Summit
      • NCAR-NEON-Community Collaborations
        • NCAR-NEON Community Steering Committee
    • Community Engagement
      • How Community Feedback Impacts NEON Operations
    • Science Seminars and Data Skills Webinars
      • Past Years
    • Work Opportunities
      • Careers
      • Seasonal Fieldwork
      • Internships
        • Intern Alumni
    • Partners

    Get Involved

  • My Account
  • Search

Search

Data Themes

  • Biogeochemistry
  • Ecohydrology
  • Land Cover and Processes
  • Organisms, Populations, and Communities

Breadcrumb

  1. Data & Samples
  2. Data Themes
  3. Ecohydrology

Ecohydrology Data Theme

Ecohydrology data theme logo

Ecohydrology data theme

Ecohydrology is defined as the study of how physical and biological processes interact with water cycles. Comprehensive study of water cycles requires knowledge of precipitation patterns, soil and groundwater dynamics, interactions with vegetation (i.e., evapotranspiration), and processes such as nutrient cycling and food web dynamics in aquatic ecosystems. NEON provides data drawn from an extensive network of sensors and biological collections to advance the study of ecohydrology and understand its role in ecology.

NEON ecohydrology data

Within the watersheds at NEON sites, towers collect information on water inputs to systems and airborne remote sensing data quantify the structure and chemical composition of vegetation; sensors installed in aquatic ecosystems provide data on surface and groundwater levels. Resulting NEON data products depict the chemical makeup of precipitation, groundwater and surface waters, including nutrient levels that affect terrestrial and aquatic biodiversity. Sampling of aquatic flora and fauna provide data essential to understanding interactions between hydrologic cycles and living organisms. Integrated NEON data may be used to compare how water moves within and throughout disparate ecosystems, from rainforests to the tundra. 

Ecological relevance

Freshwater ecosystems rank among the most stressed of global natural resource systems. Climate change, water withdrawal for urban and agricultural uses, pollution, and contamination affect streams, rivers and lakes around the world. Stream and lake ecosystems support immense biological diversity, often threatened due to environmental degradation. They also provide ecosystem services critical to society such as flood mitigation, water quality maintenance and recreation opportunities. Measures of ecohydrology, such as soil moisture, drive key processes such as decomposition, nutrient cycling and transport.

Research applications

NEON colocates ecohydrology measurements with other scientific measurements, providing a unique opportunity to examine ecological change across relevant space and time scales. NEON data may be used to address complex ecological questions, such as:

  • How will climate change affect water inputs, storage and transport?
  • Are watersheds retaining or exporting nutrients?
  • How does soil moisture affect evapotranspiration among ecosystems?
  • How do hydrological processes affect biodiversity?
  • When do biotic versus abiotic processes primarily control hydrologic exchange?

Key categories of measurements

  • Inputs: precipitation, throughfall and groundwater levels
  • Outputs and fluxes: stream and lake (inlet and outlet) discharge and evapotranspiration
  • Storage: terrestrial vegetation biomass, snow depth, lake water levels, ground water and soil moisture 
NSF NEON, Operated by Battelle

Follow Us:

Join Our Newsletter

Get updates on events, opportunities, and how NEON is being used today.

Subscribe Now

Footer

  • AG真人百家乐官方网站 Us
  • Newsroom
  • Contact Us
  • Terms & Conditions
  • Careers
  • Code of Conduct

Copyright © Battelle, 2025

The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.