Tools for: Researchers
A practical model of what conditions, capabilities and resourcing are necessary for collaboration to be successful, to be used in designing, evaluating or improving collaborative processes. This model was co-developed with collaboration practitioners across New Zealand.
For OLW research, there are six criteria that are the most important for ensuring indicators are useful. Fit-for-purpose indicators are: accepted by stakeholders, valid, clearly defined and standardised, based on available or easily accessible data, easily communicable, performance-based.
Fate Factors (FFs) for use in life-cycle analysis (PCA) were developed for both dissolved inorganic nitrogen (DIN) and dissolved inorganic phosphorus (DIP), distinguishing emissions from soil and emissions to freshwater. The use of these FFs, in conjunction with a spatially explicit inventory of DIN and DIP emissions, improves the environmental relevance and discriminatory power of the assessment of freshwater eutrophication impacts for LCA applications internationally.
This grid‐based sediment tracing technique improves the precision of source contribution estimates and enhances the granularity of sediment source maps. This technique provides a greater spatial resolution of the sediment sources by assigning sediment contributions into grid sources rather than area‐specific source types.
Maps of the potential groundwater recharge zones across New Zealand (500m x 500m resolution), which can be used to identify areas of high nutrient leaching in zones where high groundwater recharge potential exists.
LUCI is an ecosystem services modelling tool which illustrates the impacts of land use on various ecosystem services. It compares the current services provided by the landscape with estimates of their potential capability, to identify areas where land use change might be beneficial. It isn’t calibrated for New Zealand.
NIWA’s Catchment Land Use for Environmental Sustainability (CLUES) model is a GIS-based modelling system that assesses the effects of land use change on water quality and socio-economic indicators. CLUES allows users to create both land use and farm practice change scenarios (stocking rates, mitigation), providing results in map and tabular displays. NIWA can provide training.
The Indicators Working Group produced this proof-of-concept dataset for 4 rural towns in New Zealand, demonstrating the possibility of hosting research data for general access on a public data repository. This data presents indicators related to the resilience of rural communities (Dannevirke, Huntly, Taumaruniu and Te Kuiti), collected from publicly available official statistics and surveys.
ADOPT – the Adoption & Diffusion Outcome Prediction Tool – is an online tool that predicts farmer uptake of new agricultural practices and innovations. It estimates time to near-peak adoption level (99%) within target farmer populations.
Collaboration Lab researchers have evaluated the contribution of a co-innovation approach to the impact of science, and found the greater the extent to which 5 co-innovation principles were implemented, the greater the perceived potential impact of the science. The Beyond Results and Beyond Results Primary Innovation websites include guides, tools and templates to support researchers, scientists and project leaders in implementing co-innovation.
The Matrix of Drivers provides market intelligence and foresight into consumer trends and international agreements. Industry bodies can use this research to assess the magnitude of drivers affecting their sector (eg climate change, plant-based protein trends), anticipate change, and assist producers to adapt. Primary sector producers and entrepreneurs can use The Matrix to meet market demands or seek out new high-value, low-footprint opportunities, and avoid lurching from one trend to the next. See table 3.1 in the report.
Sources and Flows research modelled drought duration-severity distribution and frequency to generate SDF curves for six locations in different climatic regions. Modelling of soil drainage at these sites indicated 35% to 80% more drainage peaks than expected, suggesting better monitoring of soil moisture and scheduling of irrigation is required. The SDF curves provide a comprehensive understanding of occurrence and duration of dry conditions, and can be a useful tool for developing strategies for water management.
Measuring Groundwater Denitrification research has developed and proven a methodology for measuring dissolved neon which, in combination with argon and nitrogen measurements, can be to quantify excess nitrogen in groundwater. Measurement of ‘excess N2’ is the most promising method for directly measuring denitrification that has occurred in an aquifer.