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 Concept Videos

Manipulation and Analysis01:21

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...
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
Levels of Use of a GIS01:29

Levels of Use of a GIS

Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Response Surface Methodology01:16

Response Surface Methodology

Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:

You might also read

Related Articles

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

Sort by
Same author

Plant species' origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands.

Nature communications·2015
Same author

Steady-state sulfur critical loads and exceedances for protection of aquatic ecosystems in the U.S. Southern Appalachian Mountains.

Journal of environmental management·2014
Same author

Predicting invasion in grassland ecosystems: is exotic dominance the real embarrassment of richness?

Global change biology·2013
Same author

Development at the wildland-urban interface and the mitigation of forest-fire risk.

Proceedings of the National Academy of Sciences of the United States of America·2007
Same journal

How landscape factors relate to biodiversity-economic performance in an Estonian grassland-rich region.

Environmental management·2026
Same journal

The Ecological Role Of Traditional Home Gardens In Facilitating Bird Movement In Human-Modified Tropical Landscapes.

Environmental management·2026
Same journal

Perceiving Change: Local Perspectives on Ecological Transformation and Sustainability Dynamics in the Alpine Lake Idro Ecosystem.

Environmental management·2026
Same journal

Disentangling Environmental Variability and Mining Disturbance: A Five-year Assessment of Mammal Community Responses to Open-pit Expansion in a Semi-arid Landscape.

Environmental management·2026
Same journal

A Review of Environmental DNA (eDNA)-Based Detection of Aquatic Denizens and Water‑Borne Pathogens in Wetlands: Recent Trends and Future Perspectives.

Environmental management·2026
Same journal

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

Environmental management·2026
See all related articles

Related Experiment Video

Updated: Jun 11, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Sensitivity analysis of land unit suitability for conservation using a knowledge-based system.

Hope C Humphries1, Patrick S Bourgeron, Keith M Reynolds

  • 1Institute of Arctic and Alpine Research, University of Colorado, Boulder, CO 80309, USA. hope.humphries@colorado.edu

Environmental Management
|July 13, 2010
PubMed
Summary
This summary is machine-generated.

Conservation suitability mapping is sensitive to data layers like land use and road density. Understanding this sensitivity helps prioritize data for effective land conservation in the Columbia River basin.

More Related Videos

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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

Published on: December 9, 2012

Related Experiment Videos

Last Updated: Jun 11, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

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

Published on: December 9, 2012

Area of Science:

  • Ecology
  • Conservation Science
  • Geospatial Analysis

Background:

  • Spatially continuous data layers significantly influence land unit selection for conservation.
  • Evaluating ecological suitability is crucial for identifying effective conservation sites.

Purpose of the Study:

  • To assess the sensitivity of conservation suitability ratings to fuzzy logic parameters and data layer removal.
  • To identify key data layers influencing suitability assessments in the interior Columbia River basin.

Main Methods:

  • Constructed two fuzzy logic-based knowledge bases using NetWeaver software.
  • Performed sensitivity analyses by altering fuzzy logic parameters and removing specific data layers (e.g., land use, road density, land unit size).

Main Results:

  • Land use condition, road density, and land unit size were the most influential data layers affecting suitable land polygon distribution.
  • Removal of land use condition impacted suitability on private/intensively used lands; road density and land unit size removal affected higher-elevation US Forest Service lands.

Conclusions:

  • Conservation suitability assessments benefit from integrating both biophysical and socio-economic data.
  • Sensitivity testing provides insights for knowledge base design, parameterization, and future data acquisition priorities.