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

Trophic Efficiency00:46

Trophic Efficiency

22.3K
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
22.3K
Production Efficiency01:01

Production Efficiency

17.1K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
17.1K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

96
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...
96
Ecological Niches02:02

Ecological Niches

24.8K
All organisms have a position within an ecosystem. The complete set of living and nonliving factors—including food resources, climate, and terrain—that define the position of a given organism are collectively referred to as the organism’s ecological niche.
24.8K
Primary Production01:06

Primary Production

24.2K
The total amount of energy acquired by primary producers in an ecosystem is called gross primary production (GPP). However, of this energy, producers use some for metabolic processes, and some is lost as heat, decreasing the amount of energy available to the next trophic level. The remaining usable amount of energy is called the net primary productivity (NPP). In terrestrial ecosystems, NPP is driven by climate, while light penetration and nutrient availability drive NPP in aquatic ecosystems.
24.2K
Response Surface Methodology01:16

Response Surface Methodology

312
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:
312

You might also read

Related Articles

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

Sort by
Same author

Salinity Variation Reshapes Macroinvertebrate Communities in Alpine Lakes.

Environmental science & technology·2026
Same author

Enhancing DLP Ink Performance for Bone Tissue Engineering via Calcium Phosphate Oligomers and Concurrent Crosslinking and Crystallization.

ACS applied bio materials·2026
Same author

Associations between body composition and physical performance in Chinese male adults: a cross-sectional study.

Frontiers in public health·2026
Same author

Hydrology-driven soil microbial responses: Inundation effects on soil microbial community succession and co-occurrence network stability in the lakeshore zone of Qinghai Lake.

Journal of environmental management·2026
Same author

Impacts of Tethered Logging Equipment on Soil Compaction, Moisture and Seedling Growth.

Forest science·2026
Same author

Genome-wide characterization of the <i>Bursaphelenchus xylophilus UGT</i> gene family and its potential roles in detoxification and host interaction.

Frontiers in plant science·2026

Related Experiment Video

Updated: Oct 3, 2025

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.0K

Holistic aboveground ecological productivity efficiency modeling using data envelopment analysis in the southeastern

Katsutoshi Mizuta1, Sabine Grunwald2, Allan R Bacon2

  • 1Department of Soil, Water, and Climate, University of Minnesota, 439 Borlaug Hall, 1991 Upper Buford Circle, St. Paul, MN 55108, United States of America; Soil and Water Sciences Department, University of Florida, Gainesville, FL, PO Box 110290, United States of America.

The Science of the Total Environment
|February 12, 2022
PubMed
Summary

This study identifies key soil-environmental factors influencing forest productivity and assesses how management strategies impact ecological production efficiency. Macro- and micronutrient fertilization emerged as the most effective management approach for enhancing efficiency.

Keywords:
Benchmark approachData reductionDecision tool developmentNet primary productivityPedo-econometric techniqueSensitivity analysisVariable selection

More Related Videos

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

501
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.0K

Related Experiment Videos

Last Updated: Oct 3, 2025

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.0K
Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

501
Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites
09:05

Measurements of CO2 Fluxes at Non-Ideal Eddy Covariance Sites

Published on: June 24, 2019

8.0K

Area of Science:

  • Ecology
  • Environmental Science
  • Forestry

Background:

  • Aboveground net primary productivity (ANPP) is a crucial metric for ecosystem services.
  • Ecological production efficiency scores (ESEP) help identify underperforming sites.
  • Data Envelopment Analysis (DEA) is sensitive to input variables and model settings.

Purpose of the Study:

  • Identify soil-environmental variables correlated with ANPP.
  • Evaluate ESEP sensitivity to variable selection and DEA settings.
  • Analyze the relationship between local management practices and ESEP.

Main Methods:

  • Selected relevant soil-environmental variables from 696 factors using an all-relevant variable selection technique.
  • Developed five parsimonious variable sets for DEA models.
  • Computed ESEP using two DEA orientations and six returns-to-scale settings for pine forests in the southeastern U.S.

Main Results:

  • Site index and precipitation were key factors influencing ANPP.
  • Increasing input variables in parsimonious ESEP models reduced score variance.
  • Output-oriented DEA with decreasing returns-to-scale yielded the most variable ESEP scores.
  • Macro- and micronutrient fertilization was identified as the optimal management strategy for high ESEP.

Conclusions:

  • Objective variable selection effectively identified ANPP drivers.
  • DEA settings significantly influence ESEP outcomes, with output orientation and decreasing RTS being most sensitive.
  • Integrated management strategies, particularly nutrient fertilization, are vital for optimizing forest ecological production efficiency.