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In Situ Soil Moisture Sensors in Undisturbed Soils

In Situ Soil Moisture Sensors in Undisturbed Soils

Published on: November 18, 2022

Towards a continent-wide ecological site condition database using calibrated expert evaluations.

Matthew D White¹, Tracey Hollings¹, Steve J Sinclair¹

¹Arthur Rylah Institute for Environmental Research, Heidelberg, Victoria, Australia.

Ecological Applications : a Publication of the Ecological Society of America

|September 2, 2022

Summary

Developing a continent-wide ecological condition dataset is crucial for conservation. This study introduces a novel method using expert assessments and cross-calibration to create a consistent, scalable dataset for ecological monitoring and decision-making.

Keywords:

calibration expert elicitation habitat condition rescaling vegetation

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Area of Science:

Ecological assessment and monitoring
Conservation science
Data harmonization

Background:

Large-scale conservation planning requires consistent ecological condition data across continents.
Current cross-jurisdictional assessment inconsistencies hinder scalable monitoring efforts.
Expert assessments represent a valuable, yet underutilized, data resource.

Purpose of the Study:

To develop a cost-effective, novel method for creating a coherent, continent-wide site-level ecological condition dataset.
To integrate disparate expert assessments into a unified dataset for conservation applications.
To address the limitations of cross-jurisdictional inconsistency in ecological monitoring.

Main Methods:

Utilized a simple online tool to capture expert ecological condition assessments at specific locations.
Developed a cross-calibration process involving a linear mixed model to rescale and harmonize expert evaluations.
Employed a pilot study with 28 experts providing 314 site assessments across diverse Australian ecosystems, using 77 photographic images for calibration.

Main Results:

Successfully demonstrated a method to calibrate and rescale individual expert assessments into a consistent dataset.
The approach shows promise for generating the large volumes of data needed for continental-scale reference libraries.
Achieved a correction factor for each expert to standardize their site condition assessment scores.

Conclusions:

The novel cross-calibration approach effectively integrates expert ecological condition assessments for continent-wide use.
This method provides a scalable solution for ecological monitoring, reporting, and decision-making in conservation.
The demonstrated process can also be adapted for citizen science initiatives and harmonizing existing datasets.