Description

NManager is a partial equilibrium simulation model developed by Motu and NIWA, the National Institute for Water and Atmospheric Research. NManager allows for integrated modelling of catchments (currently calibrated to Rotorua) for Nitrogen leaching regulation and environmental and economic outcomes. It does so by solving a three layered optimisation problem. The middle layer solves for an optimal price given farmers optimal decisions in the inner most layer. The outer most layer solves for an optimal supply of emission permits given the optimal price(s). NManager has been developed by Motu and has been used for policy formulation. NManager combines data from several external models with its own internal calculations. These models are: The Rotorua and Taupō Nutrient model (ROTAN) is a geographic information system based catchment hydrology and water quality model developed by NIWA. Farmax is a decision support model developed by AgResearch. It has been designed to assist dairy and sheep-beef farmers to maximise their productivity by simulating the profitability of farms under different management scenarios. OVERSEER is a farm management tool developed by AgResearch to help farmers maximise the productivity of their land. It also calculates nutrients lost to the environment, which has drawn the attention of regulatory bodies. For a specified regulatory system, NManager determines the pattern of nitrogen exports that will be chosen by profit-maximising landowners. Furthermore, for a specified set of environmental targets and a given regulatory scheme, NManager can determine the stringency of regulation necessary to meet those targets.

Purpose

NManager is intended to reflect the complex biophysical properties of a catchment and the behaviour of landowners under regulation. It simulates the economic costs and environmental impacts associated with different approaches to nutrient management,

Latest Version v2
State of Development test release
Current Development Activity NManager is currently being prepared for a version 2 release.

Development Contact

Suzi Kerr
suzi.kerr@motu.org.nz
+64 4 939 4250
Motu Economic and Public Policy Research
Level 1, 97 Cuba Street, PO Box 24390 Wellington 6142 New Zealand

Main Developers

  • Motu Economic and Public Policy Research (MOTU)

Scope

Outcome Areas Economic, Environmental
Management Domains Land
Subdomains Contaminant Losses
Intended End Users At present, single in-house specialist.
Spatial Resolutions Unknown
Spatial Extents Local (i.e. Catchment or District)
Spatial Dimensions Unknown
Temporal Resolutions Years
Temporal Extents Centuries
Steady State or Dynamic Steady State
Level of Integration Economic, Environmental

Input & Output Data

Key Input Data Micro-economic data, Land Use, Land Cover
Input Data Formats Matlab
Key Output Data Micro-economic data, Land Use, Runoff
Output Data Formats GIS Compatible Files Matlab

Accessibility

Open/Closed Source Open Source
Licence Type Unknown

User Information

Operating Systems MS Windows
Software Needed Matlab ArcGIS needed for data setup only
User Interface No user interface
Ease of Use Moderate Use requires some familiarity with Matlab code. The model is setup so that all the inputs are separate from the rest of the model for ease of use.
Use in Policy Process Plan (Policy Formulation)
Documentation

Some documentation written to provide overview of NManager. The code is heavily commented to aid new developers.

Support Open to collaboration
Users Forum Email the current model builder at Motu.

Technical Considerations

Programming Language Matlab
Methods included for calibration and validation Data setup is external to model. NManager has been calibrated against the ROTAN model built by NIWA.
Methods included for managing uncertainty No uncertainty in the model. Check the model assumptions.
Analytical Techniques Input/output
Model Structure

NManager solves a three layered optimization problem. The middle layer solves for an optimal price given farmers optimal decisions in the inner most layer. The outer most layer solves for an optimal supply of emission permits given the optimal price(s).

Keywords Nitrogen, trading, emissions, Rotorua, groundwater, water quality, dairy, sheep/beef, forestry
Linkages to other Models
Links

Water Quality Management in Lake Rotorua: A Comparison of Regulatory Approaches Using the NManager Model- http://www.motu.org.nz/publications/detail/nutrient_management_in_lake_rotorua_using_the_nmanager_model

Key References

Anastasiadis, Simon, Marie-Laure Nauleau, Suzi Kerr, Tim Cox, and Kit Rutherford. 2011. "Does Complex Hydrology Require Complex Water Policy? NManager Simulations for Lake Rotorua," Motu Working Paper 11-14, Motu Economic and Public Policy Research, Wellington.

Associated Case Studies

  • NManager - Does complex hydrology require complex water policy?

    The work contained in this case study examines six different approaches to nutrient management, and simulates the economic costs and environmental impacts associated with them using NManager.  The work is focused on Lake Rotorua in the Bay of Plenty in New Zealand, where the regional council is concerned with the decline in the lake's water quality and has set a goal to restore the lake to its condition during the 1960s.

    Read more
  • Other Key Case Studies

    McDonald, Hugh, Suzi Kerr and Simon Anastasiadis. 2012. "How Should We Manage Diffuse Water Pollution? Insights from Recent NManager Simulations," New Zealand Association of Economists Annual Conference, Palmerston North, June 2012. -  http://www.nzae.org.nz/wp-content/uploads/2012/07/McDonald.pdf

    Anastasiadis, Simon. 2011. "Water Quality Management in Lake Rotorua: A Comparison of Regulatory Approaches Using the NManager Model," New Zealand Association of Economists Annual Conference, Wellington, 29 June-1 July 2011. - http://nzae.org.nz/wp-content/uploads/2011/Session4/42_Anastasiadis.pdf