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Related Experiment Video

Updated: May 9, 2026

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning
09:23

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

Published on: March 21, 2025

Spatial covariance between aesthetic value & other ecosystem services.

Stefano Casalegno1, Richard Inger, Caitlin Desilvey

  • 1Environment and Sustainability Institute, University of Exeter, Penryn, Cornwall, United Kingdom. stefano@casalegno.net

Plos One
|July 11, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using social media photos to map ecosystem aesthetic value. Findings reveal insights into the complex spatial relationships between various ecosystem services.

Related Experiment Videos

Last Updated: May 9, 2026

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning
09:23

JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning

Published on: March 21, 2025

Area of Science:

  • Ecosystem services research
  • Environmental science
  • Social-ecological systems analysis

Background:

  • Understanding covariation between ecosystem services is crucial but challenging, especially for cultural services.
  • Spatially quantifying non-material benefits like aesthetic value remains a significant hurdle in ecosystem service research.

Purpose of the Study:

  • To develop and apply an innovative method for assessing the perceived aesthetic value of ecosystems.
  • To analyze the spatial covariation between supporting (soil carbon stocks), provisioning (agricultural production), and cultural (aesthetic value) ecosystem services.

Main Methods:

  • Utilized geo-tagged digital photographs from social media to quantify perceived aesthetic value.
  • Conducted spatial analysis in Cornwall, UK, examining the relationships between soil carbon, agricultural production, and aesthetic value.
  • Employed the premise that image capture frequency correlates with aesthetic value.

Main Results:

  • Geo-tagged social media images effectively serve as a metric for mapping cultural ecosystem services, specifically aesthetic value.
  • Demonstrated the non-stationarity in spatial relationships between different ecosystem services.
  • Highlighted the potential of digital data for ecosystem service assessment.

Conclusions:

  • Social media data offers a viable and innovative approach to quantify and map cultural ecosystem services.
  • The study underscores the complex and spatially variable interactions between diverse ecosystem services.
  • This methodology can enhance our understanding of ecosystem service provision and human interaction with nature.