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

The Anchoring-and-Adjustment Heuristic

The Anchoring-and-Adjustment Heuristic

In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the $2,000...

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...

Residuals and Least-Squares Property

Residuals and Least-Squares Property

The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...

Effects of feedback

Effects of feedback

Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...

Feedback control systems

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...

Solution Equilibrium and Saturation

Solution Equilibrium and Saturation

Imagine adding a small amount of sugar to a glass of water, stirring until all the sugar has dissolved, and then adding a bit more. You can repeat this process until the sugar concentration of the solution reaches its natural limit, a limit determined primarily by the relative strengths of the solute-solute, solute-solvent, and solvent-solvent attractive forces. You can be certain that you have reached this limit because, no matter how long you stir the solution, undissolved sugar remains. The...

You might also read

Related Articles

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

Sort by

Same author

Dual-crosslinked chitosan nanofibres - Balancing mechanical enhancement with cytotoxic risk.

Biomaterials advances·2026

Same author

Toxicology-informed sequencing to optimise cancer therapy - Authors' reply.

Lancet (London, England)·2026

Same author

Atomic-resolution imaging of gold species at organic liquid-solid interfaces.

Science (New York, N.Y.)·2026

Same author

Synthesis of rare earth doped MoS<sub>2</sub> by the co-pyrolysis of molecular precursors.

Scientific reports·2026

Same author

Convolutional neural networks outperform other presence-only species distribution modeling algorithms.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

How much of the forest sink is passive? Case of the United States.

Proceedings of the National Academy of Sciences of the United States of America·2026

Search research articles

Related Experiment Video

Updated: May 17, 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

Reserve selection with land market feedbacks.

Van Butsic¹, David J Lewis, Volker C Radeloff

¹University of Wisconsin Madison, Department of Forest and Wildlife Ecology, 1630 Linden Drive, Madison, WI 53706, USA. vanbutsic@gmail.com

Journal of Environmental Management

|November 13, 2012

Summary

This summary is machine-generated.

Conservation reserve selection can be improved by accounting for land market feedbacks. This study shows that while these feedbacks can be included, their impact on conservation efficacy is often small.

Related Experiment Videos

Last Updated: May 17, 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

Area of Science:

Conservation Biology
Ecological Economics
Environmental Planning

Background:

Reserve selection aims for efficient conservation under budget constraints.
Land markets can negatively impact reserve benefits by increasing property values and development near protected areas.

Purpose of the Study:

To develop a reserve selection methodology that optimizes conservation considering budget limits and land market feedbacks.
To integrate econometric models and stochastic dynamic programming for reserve site selection.

Main Methods:

Utilized econometric models to estimate property price and land development effects from reserve establishment.
Employed stochastic dynamic programming to optimize parcel selection under budget constraints and land market feedbacks.
Applied the methodology to maximize coarse woody debris in Vilas County, WI, USA.

Main Results:

Including land market feedbacks in reserve selection had minor effects on conservation efficacy in the empirical example.
Heuristic algorithms (minloss, maxgain) performed comparably to the optimal selection strategy.
The influence of land market feedbacks on reserve placement effectiveness varies across landscapes.

Conclusions:

Land market feedbacks can be incorporated into optimal reserve selection frameworks.
The practical benefit of including land market feedbacks may be context-dependent.
Heuristic approaches offer a viable alternative for reserve selection in certain scenarios.