Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Design Example: Alignment of a Road Line Using GIS

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...

Sampling Plans

Sampling Plans

Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...

Manipulation and Analysis

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

Linear Approximations

Linear Approximations

For a differentiable function of two variables, linear approximation estimates values near a known point by replacing the curved surface with its tangent plane. Consider the function\begin{equation*}f(x,y)=x^2+3y^2\end{equation*}near the point (2, 1). The exact value at this point is f(2, 1) = 22 + 3(1)2 = 4 + 3 = 7.The linear approximation of f(x, y)) near (a, b) is\begin{equation*}L(x,y)=f(a,b)+f_x(a,b)(x-a)+f_y(a,b)(y-b)\end{equation*}First, compute the partial derivatives: fx(x, y) = 2x and...

Thematic Layering in GIS

Thematic Layering in GIS

In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...

Plane Potential Flows

Plane Potential Flows

Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform Flow
Uniform flow...

You might also read

Related Articles

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

Sort by

Same author

Bright spots for advancing ecological understanding and conservation decision-making.

Conservation biology : the journal of the Society for Conservation Biology·2025

Same author

Nine Lessons about Aquatic Invasive Species from the North Temperate Lakes Long-Term Ecological Research (NTL-LTER) Program.

Bioscience·2024

Same author

Lakeshore residential development as a driver of aquatic habitat and littoral fish communities: A cross-system study.

Ecological applications : a publication of the Ecological Society of America·2023

Same author

Species invasions shift microbial phenology in a two-decade freshwater time series.

Proceedings of the National Academy of Sciences of the United States of America·2023

Same author

Blue Waters, Green Bottoms: Benthic Filamentous Algal Blooms Are an Emerging Threat to Clear Lakes Worldwide.

Bioscience·2021

Same author

Production dynamics reveal hidden overharvest of inland recreational fisheries.

Proceedings of the National Academy of Sciences of the United States of America·2019

Search research articles

Related Experiment Video

Updated: Jul 2, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Landscape planning for agricultural nonpoint source pollution reduction I: a geographical allocation framework.

Matthew W Diebel¹, Jeffrey T Maxted, Peter J Nowak

¹Center for Limnology, University of Wisconsin - Madison, 680 North Park Street, Madison, WI 53706, USA. mwdiebel@wisc.edu

Environmental Management

|August 16, 2008

Summary

Targeting agricultural conservation efforts in aggregated watersheds and specific high-pollution fields most efficiently improves water quality. This approach maximizes nutrient retention and watershed improvements, addressing persistent nonpoint source pollution challenges.

More Related Videos

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

Related Experiment Videos

Last Updated: Jul 2, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Vegetated Treatment Systems for Removing Contaminants Associated with Surface Water Toxicity in Agriculture and Urban Runoff

Published on: May 15, 2017

Area of Science:

Environmental Science
Agricultural Science
Water Resource Management

Background:

Agricultural nonpoint source pollution is a persistent environmental issue despite significant investment in abatement.
Agricultural best management practices (BMPs) show effectiveness at local scales but rarely yield broad-scale water quality improvements.
The cumulative effects of BMPs and spatial distribution of pollution sources are critical for understanding water quality outcomes.

Purpose of the Study:

To investigate why agricultural BMPs often fail to produce measurable, broad-scale water quality improvements.
To develop recommendations for optimizing the use of riparian buffers for nonpoint source pollution control in Wisconsin.
To evaluate different strategies for geographically allocating conservation efforts to maximize water quality benefits.

Main Methods:

Simulated benefit/cost curves using frequency distributions of phosphorus pollution at watershed and field scales.
Modeled four approaches to conservation effort allocation: aggregated vs. dispersed, and targeted vs. random.
Assessed the impact of these approaches on phosphorus (P) load retention and watershed water quality improvement.

Main Results:

The aggregated and targeted approach to conservation effort allocation proved most efficient in improving water quality.
Implementing this approach on only 10% of a model landscape resulted in 26% total phosphorus load retention.
This strategy led to significant water quality improvements in 25% of simulated watersheds.

Conclusions:

Agricultural conservation strategies are more efficient when they account for the spatial heterogeneity of pollution sources.
Targeting conservation efforts within specific watersheds and towards high-polluting fields maximizes environmental benefits.
Optimizing the geographic allocation of conservation resources is key to achieving measurable, broad-scale improvements in water quality.