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An ELISA Based Binding and Competition Method to Rapidly Determine Ligand-receptor Interactions
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Data-driven competitive facilitative tree interactions and their implications on nature-based solutions.

Aristides Moustakas1, Ioannis N Daliakopoulos2, Tim G Benton3

  • 1Institute for Applied Data Analytics, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE 1410, Brunei.

The Science of the Total Environment
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Summary
This summary is machine-generated.

Ecological facilitation, where more individuals improve survival, shifts to competition over time. Large trees are crucial for survival and moderating temperature, offering vital nature-based solutions.

Keywords:
Density effectsEco-hydrologyEcological facilitationEnvironmental informaticsLand Surface TemperatureSavannasSoil moisture

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Area of Science:

  • Ecology
  • Environmental Science
  • Data Science

Background:

  • Ecological facilitation, a positive density-dependent effect on survival, is complex.
  • Spatio-temporal data analytics present challenges due to data ubiquity and richness.

Purpose of the Study:

  • To analyze spatio-temporal tree survival data to understand ecological facilitation and competition.
  • To identify optimal spatial scales for ecological interactions and quantify their effects on tree survival.

Main Methods:

  • Data-driven analysis without prior hypothesis.
  • Information theoretic analysis of multiple statistical models.
  • Quantifying tree survival as a function of size, density, and time at optimal spatial scales.

Main Results:

  • Facilitation and competition coexist and depend on spatial scale.
  • Tree survival is best explained by density and year interaction, shifting from facilitation to competition over time.
  • Small trees benefit from higher densities; large trees show negative or no density effects. Tree size is a key survival predictor.

Conclusions:

  • Maintaining large trees is vital for long-term survival and nature-based solutions, especially under environmental stress.
  • Large trees significantly moderate land surface temperature, more so than vegetation density.
  • Understanding density-dependent effects across spatial and temporal scales is critical for ecosystem management.