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Quantifying large-scale ecosystem stability with remote sensing data.

Hannah J White1,2, Willson Gaul1,2, Dinara Sadykova3

  • 1School of Biology and Environmental Science University College Dublin Dublin Ireland.

Remote Sensing in Ecology and Conservation
|November 2, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to measure ecosystem stability using satellite data, enabling landscape-scale analysis. It quantifies ecosystem functioning stability, crucial for conservation and management under global change.

Keywords:
Ecosystem functioningresiliencesatellitestabilityvegetation index

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Area of Science:

  • Ecology
  • Remote Sensing
  • Environmental Science

Background:

  • Understanding ecosystem functioning stability is vital for predicting responses to global change.
  • Existing stability measures are primarily limited to small spatial scales, hindering landscape-level assessments.
  • Remote sensing offers potential for large-scale ecological studies but requires methods linking field and satellite data.

Purpose of the Study:

  • To develop and present a methodology for extracting ecosystem functioning stability components from satellite-derived time series data.
  • To quantify four key stability components: variability, resistance, recovery time, and recovery rate.
  • To demonstrate the application of this methodology for identifying large-scale disturbance events.

Main Methods:

  • Utilized time series of satellite-derived Enhanced Vegetation Index (EVI) data.
  • Extracted four components of ecosystem functioning stability: variability, resistance, recovery time, and recovery rate.
  • Applied the methodology to the island of Ireland to identify major productivity disturbances.

Main Results:

  • Successfully extracted four components of ecosystem functioning stability from satellite EVI data.
  • Demonstrated the capability to identify large-scale disturbance events impacting ecosystem productivity.
  • Validated the consistency of the method with established small-scale stability research while addressing remote sensing data challenges.

Conclusions:

  • The developed methodology enables consistent, landscape-scale assessment of ecosystem functioning stability using remote sensing.
  • This approach bridges the gap between field-scale ecological research and large-scale remote sensing observations.
  • Encourages the use of remote sensing for ecosystem stability assessments relevant to conservation and management.