Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jul 5, 2026

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Detecting temporal change in watershed nutrient yields.

James D Wickham1, Timothy G Wade, Kurt H Riitters

  • 1National Exposure Research Laboratory, US Environmental Protection Agency (E243-05), Research Triangle Park, NC 27711, USA. wickham.james@epa.gov

Environmental Management
|May 1, 2008
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Using a hybrid demand-allocation algorithm to enable distributional analysis of land use change patterns.

PloS one·2020
Same author

Decline of forest interior conditions in the conterminous United States.

Scientific reports·2012
Same author

Global survey of anthropogenic neighborhood threats to conservation of grass-shrub and forest vegetation.

Journal of environmental management·2012
Same author

A method for comparative analysis of recovery potential in impaired waters restoration planning.

Environmental management·2009
Same author

Multi-scale landscape factors influencing stream water quality in the state of Oregon.

Environmental monitoring and assessment·2008
Same author

Hot spots of perforated forest in the eastern United States.

Environmental management·2005
Same journal

Structural Variability in Bulk Soil and Rhizosphere Microbial Communities at Different Restoration Modes of Open-pit Coal Mine.

Environmental management·2026
Same journal

Social-ecological drivers of sustainable soil management in Ghana: farmer typologies and regional disparities.

Environmental management·2026
Same journal

Hydraulic Optimization of Shaft Hydropower Plant Intake Configurations Using 3D-CFD: the At-Bashy Case, Kyrgyzstan.

Environmental management·2026
Same journal

Co-producing Knowledge on Ecosystem Services: A Multidimensional Participatory Mapping Study in the Kat River Catchment, South Africa.

Environmental management·2026
Same journal

Development of Legal and Practical Framework for Naturally Occurring Radioactive Materials (NORM) Management.

Environmental management·2026
Same journal

Integrating Community Perception, Climate Vulnerability Index, and Driver-Pressure-State-Impact-Response Approaches for Climate Risk Assessment of the Persepolis World Heritage Site.

Environmental management·2026
See all related articles

Land-use changes significantly alter watershed nutrient yields, particularly in natural vegetation areas. Analyzing nutrient yield distributions reveals impacts, informing water quality management under the Clean Water Act.

Area of Science:

  • Environmental Science
  • Hydrology
  • Ecology

Background:

  • Watershed nutrient yields are generally higher in anthropogenically impacted areas (urban, agriculture) and lower in natural vegetation-dominated areas.
  • Loss of natural vegetation is expected to increase watershed nutrient yields.
  • Watershed nutrient yields fluctuate annually due to exogenous factors, necessitating a distributional analysis approach.

Purpose of the Study:

  • To analyze nutrient yield distributions and quantify the impact of land-cover change on these distributions.
  • To investigate how varying degrees of land-cover change affect nutrient yields in different watershed types.
  • To contextualize findings within the framework of the Clean Water Act.

Main Methods:

  • Compiled nutrient yield distributions from published data for watersheds with homogeneous land cover and multiple years of data.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
05:04

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Published on: July 14, 2023

Related Experiment Videos

Last Updated: Jul 5, 2026

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
12:50

Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

Published on: September 26, 2017

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island
05:04

Visualization of Productivity Zones Based on Nitrogen Mass Balance Model in Narragansett Bay, Rhode Island

Published on: July 14, 2023

  • Developed statistical models using compiled data to estimate changes in nutrient yield distributions.
  • Quantified land-cover changes using the National Land Cover Database (NLCD).

    • Main Results:

    • Total nitrogen (TN) yield distributions showed significant increases in 35 and decreases in 51 out of 1550 watersheds.
    • Total phosphorus (TP) yield distributions showed significant increases in 142 and decreases in 17 watersheds.
    • The magnitude of land-cover change required to shift nutrient yield distributions varied, with smaller changes impacting natural vegetation watersheds more than urban or agricultural ones.

    Conclusions:

    • Land-cover change significantly alters nutrient yield distributions, with varying sensitivity across different land cover types.
    • The study provides a statistical framework for assessing the impact of land-cover change on water quality metrics.
    • Findings have implications for water quality regulation and management strategies, particularly concerning the Clean Water Act.