A hydrochemically guided landscape classification system for modelling spatial variation in multiple water quality indices: Process-attribute mapping
journal contribution
posted on 2024-06-21, 03:54authored byClint Rissman, Lisa Pearson, Monique Beyer, Matt Couldrey, Jessie Lindsay, Adam Martin, Troy Baisden, Tim Clough, Travis Horton, Jenny Webster-BrownJenny Webster-Brown
Spatial variation in landscape attributes can account for much of the variability in water quality relative to land use on its own. Such variation results from the dominant processes governing water quality, and gradients in key landscape attributes. Despite the importance of 'process-attribute' gradients (PAG) few water quality models explicitly account for their influence. Here a processes-based water quality modelling framework (Process-Attribute Mapping) is presented that more completely accounts for the role of landscape variability over water quality, here applied to the province of Southland (31,824 km2), New Zealand. PAGs can be used in conjunction with land use activity to communicate how and why water quality varies spatially.
Funding
Funded by the New Zealand Ministry for Business, Innovation and Employment's Our Land and Water National Science Challenge (Toitū te Whenua, Toiora te Wai) as part of project Physiographic Environments of New Zealand