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Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Related Experiment Video

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Linking plant and ecosystem functional biogeography.

Markus Reichstein1, Michael Bahn2, Miguel D Mahecha3

  • 1Max Planck Institute for Biogeochemistry, 07745 Jena, Germany; German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, 04103 Leipzig, Germany; mreichstein@bgc-jena.mpg.de.

Proceedings of the National Academy of Sciences of the United States of America
|September 17, 2014
PubMed
Summary
This summary is machine-generated.

Ecosystems are shaped by climate, but climate alone doesn't explain functional variations. Plant and microbial traits significantly influence ecosystem properties, requiring integrated approaches for better understanding global functional biogeography.

Keywords:
FLUXNETbiogeochemistrycarbon cycleeddy covarianceplant traits

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Area of Science:

  • Ecology
  • Biogeography
  • Climate Science

Background:

  • Classical biogeography highlights climate's role in ecosystem structure and function.
  • Ecosystems influence climate through biosphere-atmosphere exchanges of energy and matter.
  • Observed variations in ecosystem carbon and water cycles exceed explanations by climate alone.

Purpose of the Study:

  • To investigate unexplained variations in ecosystem functional properties.
  • To explore the role of plant and microbial traits in ecosystem function.
  • To advance global functional biogeography by linking organismic traits to ecosystem properties.

Main Methods:

  • Analysis of ecosystem-level observations of biosphere-atmosphere exchange.
  • Statistical analysis of correlations between ecosystem properties and environmental variables.
  • Proposed synergistic use of data-driven and theory-driven ecological approaches.

Main Results:

  • Climate and classical plant functional types explain less than 30% of variance in seasonal carbon-use efficiency.
  • A significant portion of unexplained variation in ecosystem properties is linked to plant and microbial traits.
  • Current models inadequately capture the complexity of ecosystem functional biogeography.

Conclusions:

  • Understanding organismic traits is crucial for explaining ecosystem functional properties.
  • Integrating trait-based approaches with flux data is necessary for global functional biogeography.
  • Future research should combine ecological and biophysical methods to link traits and ecosystem functions.