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Related Concept Videos

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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.
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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.
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Related Experiment Video

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Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
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Root biomass allocation in the world's upland forests.

Michael A Cairns1, Sandra Brown1, Eileen H Helmer2

  • 1US Environmental Protection Agency, National Health and Ecological Effects Research Laboratory, Western Ecology Division, 200 SW 35th Street, Corvallis, OR 97333, USA. fax: (541) 754-4799; e-mail: michael@mail.cor.epa.gov, , , , , , US.

Oecologia
|March 18, 2017
PubMed
Summary
This summary is machine-generated.

Estimating forest root biomass is challenging. This study developed a reliable method using aboveground biomass, age, and latitude, explaining 84% of root biomass variation.

Keywords:
Key words Root biomassAboveground biomassForestsRoot:shoot ratio

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Area of Science:

  • Forestry science
  • Ecology
  • Biomass estimation

Background:

  • Forests are crucial for global nutrient and carbon cycles.
  • Estimating aboveground biomass is common, but root biomass estimation methods are scarce.
  • Accurate root biomass data is vital for understanding forest ecosystems.

Purpose of the Study:

  • To develop a reliable method for estimating forest root biomass density using existing literature data.
  • To identify key predictors for root biomass density and root:shoot ratios.
  • To compare the developed method with generalized ratio approaches.

Main Methods:

  • Literature review of forestry studies containing root biomass measurements.
  • Statistical analysis of relationships between root biomass density and root:shoot ratios with edaphic and climatic variables.
  • Linear regression analysis to identify significant predictors of root biomass density.

Main Results:

  • No single edaphic or climatic variable reliably predicted root:shoot ratios.
  • Aboveground biomass density, age, and latitudinal category were significant predictors of root biomass density, explaining 84% of variation.
  • The developed method yielded estimates approximately 20% higher than generalized ratio methods for US forests.

Conclusions:

  • A reliable method for estimating forest root biomass density was developed based on aboveground biomass, age, and latitude.
  • This approach offers improved accuracy compared to generalized root:shoot ratio methods.
  • The findings contribute to better understanding of forest carbon sequestration and nutrient cycling.