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

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

342
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...
342
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

310
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
310
Levels of Use of a GIS01:29

Levels of Use of a GIS

420
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...
420
Growth Models with Integration: Problem Solving01:27

Growth Models with Integration: Problem Solving

81
In population modeling, integration provides a systematic way to determine accumulated quantities from known rates of change. One such application arises in ecology, where the total weight of a fish population in a body of water is referred to as its biomass. When the rate of growth of this biomass is known as a function of time, calculus can be used to determine the total biomass at a future date.Growth Rate and Biomass FunctionLet the growth rate of the fish population be represented by a...
81
What is Biodiversity?01:19

What is Biodiversity?

34.4K
Biodiversity describes the variety of living things at multiple organizational levels: genetic, species and ecosystem diversity. Species diversity includes all branches of the evolutionary tree from single-celled prokaryotic organisms, bacteria, and archaea, to the eukaryotic kingdoms: plants; animals; fungi; and protists. To date, there have been about 1.75 million species identified, and new species are discovered every week.
34.4K
What is an Ecosystem?01:17

What is an Ecosystem?

47.7K
Overview
47.7K

You might also read

Related Articles

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

Sort by
Same author

Opportunity and risk in achieving food production and conservation goals at high altitude: Evidence from the Tibetan Plateau.

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

Landscape efficiency frontiers for biodiversity, climate mitigation, and net economic value.

Science (New York, N.Y.)·2026
Same author

Developing Predictive Models by Sharing Predictions - An Investigation of a Federated Learning Approach for ADMET Predictions.

Journal of medicinal chemistry·2026
Same author

Reversing the great degradation of nature by reducing factors related to cropland expansion.

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

Field data challenge predictions of universal crop pest proliferation under warming.

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

Social implications of the 30×30 global conservation target.

Nature communications·2026

Related Experiment Video

Updated: Mar 3, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K

Life cycle assessment needs predictive spatial modelling for biodiversity and ecosystem services.

Rebecca Chaplin-Kramer1, Sarah Sim2, Perrine Hamel1

  • 1Natural Capital Project, Woods Institute for the Environment, Stanford University, Stanford, California 94305, USA.

Nature Communications
|April 22, 2017
PubMed
Summary

Standard life cycle assessment (LCA) overlooks crucial spatial impacts. A new Land-Use Change Improved (LUCI)-LCA reveals how location-specific land use affects climate, water, and biodiversity, offering more accurate sustainability insights.

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

13.9K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

9.2K

Related Experiment Videos

Last Updated: Mar 3, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

8.7K
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

13.9K
Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

9.2K

Area of Science:

  • Environmental Science
  • Sustainability Science
  • Ecological Economics

Background:

  • Global corporations significantly impact planetary land use and resources via product design and material sourcing.
  • Current life cycle assessment (LCA) methods often lack the spatial detail and ecological data needed to accurately assess sustainability impacts on climate, water, and biodiversity.

Purpose of the Study:

  • To introduce an advanced LCA methodology, Land-Use Change Improved (LUCI)-LCA, integrating spatially explicit land change and ecosystem service modeling.
  • To compare the findings of LUCI-LCA with standard LCA for bioplastics derived from different feedstock-location scenarios.

Main Methods:

  • Development and application of the LUCI-LCA framework, incorporating spatially explicit land change and ecosystem service modeling.
  • Comparative analysis of maize and sugarcane bioplastics under alternative feedstock-location scenarios.

Main Results:

  • LUCI-LCA produced contrasting results to standard LCA for greenhouse gas emissions and water consumption.
  • Significant differences in the magnitude of impacts on soil erosion and biodiversity were observed using LUCI-LCA compared to standard LCA.
  • The study identified critical differences in environmental outcomes based on feedstock sourcing locations.

Conclusions:

  • Integrating spatially explicit land-use change information is crucial for accurate sustainability assessments.
  • LUCI-LCA provides a more comprehensive understanding of environmental impacts, essential for informed supply chain and innovation decisions.
  • The location of land use is a key determinant of a product's overall environmental footprint.