ProjectResistance to Perturbation in Agricultural Land
Can We Identify and Fingerprint Functional Soil Conditions Across Scales?
Producing new large-scale data to enhance existing datasets from national soil monitoring networks and distributed field experiments
Aims & Objectives
This project will produce new large-scale data to enhance existing datasets from national soil monitoring networks and distributed field experiments, employing novel environmental modelling methods to better understand soil quality indicators (SQI). Using new data and spectral approaches to fingerprint soil conditions that confer resistance this project will:
- Determine the contribution of plant composition, soil type, and land management history, in driving SQIs and biophysical soil resistance
- Construct multivariate normal operating ranges for key SQIs and biophysical soil resistance, and assess whether there are differences in these between climatic/environmental zones and soil types
- Derive calibrations using spectral data for the prediction of SQIs and compare approaches of increasing complexity
- Test and validate spectral approaches to assess SQIs and resistant soil conditions in distributed field experiments where the agricultural ecosystem has been perturbed
Aidan is a soil ecologist whose research focuses on understanding links and interactions between plants, soil biology and soil functions, the impacts of land use and management on soils, indicator development to inform and streamline soil and biodiversity monitoring strategies and quantifying change in natural capital and ecosystem services across spatial and temporal scales. You can find out more about Aidan here.