Paul M. Evans

This paper develops a high-resolution model to quantify landscape sponginess, estimating water retention potential at the parcel level for land management decisions.

This study evaluates how sensitivities in associating land-system archetypes with sustainability metrics affect decision support systems using simulated datasets.

The paper develops and validates a sediment retention model for Great Britain using the InVEST platform, finding that NDVI-based cover management factors improve model performance.