david hamilton chris mcbride, moritz lehmann , …isrs2017.com/images/hamilton_david.pdf ·...

Modelling of trophic state of New Zealand lakes and visualisation with the geospatial platform Takiwā

David Hamilton Chris McBride, Moritz Lehmann , Grant TemperoMike Taitoko, Thalia Ullrich , Steve Burnie

Why Takiwā?

SDG 6Targets6.6By 2020, protect and restore water-related ecosystems, including mountains, forests, wetlands, rivers, aquifers and lakes

Indicators6.6.1Change in the extent of water-related ecosystems over time

National – Regional – Individual

Making data trustworthy and accessible

Data Models

Understanding and Interpretation

Policies

Environmental improvements“Maintain or improve”

Lake nutrient and chlorophyll predictions

NOF Band

Example of Takiwa model predictionsWainono Lagoon, South Canterbury

Takiwā

“I never think of the future - it comes soon enough.” ― Albert Einstein

Where to from here?

• SoE reporting• Multivariate (pixel-based) analysis• Public and community exposure• Kaitiaki layer

Acknowledgments

• To the many who maintain data sets and have freely made them available, as well as those who have devoted time to Takiwā.

• New Zealand Ministry of Business, Innovation and Employment (UOWX1503). Enhancing the health and resilience of New Zealand lakes.

lakes.takiwagis.com