Development of a Systems Model for Assessing Pathways to Resilient, Sustainable, and Profitable Agriculture in New Zealand (2022)

View/ Open
Type of Content
Journal ArticlePublisher
MDPI AGISSN
2073-445XLanguage
enCollections
Abstract
There is a clear research gap in understanding how future pathways and disruptions to the New Zealand (NZ) agricultural system will have an impact on the environment and productivity. Agriculture is in a period of significant change due to market disruptions, climate change, increasingly stringent environmental regulations, and emerging technologies. In NZ, agriculture is a key sector of the economy, therefore government and industry need to develop policies and strategies to respond to the risks and opportunities associated with these disruptors. To address this gap, there is a need to develop an assessment tool to explore pathways and interventions for increasing agricultural profitability, resilience, and sustainability over the next 5–30 years. A decision support tool was developed through Stella Architect, bringing together production, market values, land use, water use, energy, fertiliser consumption, and emissions from agricultural sectors (dairy, beef, sheep, cereals, horticulture, and forests). The parameters are customisable by the user for scenario building. Two future trend scenarios (Business as usual, Optimisation and technology) and two breakaway scenarios (Carbon farming, Reduction in dairy demand) were simulated and all met carbon emissions goals, but profitability differed. Future environmental regulations can be met by adjusting levers associated with technology, carbon offsets, and land use. The model supports the development and assessment of pathways to achieve NZ’s national agriculture goals and has the potential to be scaled globally.
Citation
Vannier C, Cochrane TA, Zawar-Reza P, Bellamy L (2022). Development of a Systems Model for Assessing Pathways to Resilient, Sustainable, and Profitable Agriculture in New Zealand. Land. 11(12). 2334-2334.This citation is automatically generated and may be unreliable. Use as a guide only.
Keywords
agricultural technology; reduction in carbon emissions; environmental targets; future scenarios; decision support toolANZSRC Fields of Research
30 - Agricultural, veterinary and food sciences::3002 - Agriculture, land and farm management::300205 - Agricultural production systems simulation30 - Agricultural, veterinary and food sciences::3002 - Agriculture, land and farm management::300208 - Farm management, rural management and agribusiness
41 - Environmental sciences::4101 - Climate change impacts and adaptation::410103 - Human impacts of climate change and human adaptation
44 - Human society::4407 - Policy and administration::440703 - Economic development policy
44 - Human society::4407 - Policy and administration::440704 - Environment policy
46 - Information and computing sciences::4609 - Information systems::460902 - Decision support and group support systems
Rights
All rights reserved unless otherwise statedRelated items
Showing items related by title, author, creator and subject.
-
An Analysis of Agricultural Systems Modelling Approaches and Examples to Support Future Policy Development under Disruptive Changes in New Zealand
Vannier, Clemence; Cochrane, Thomas; Zawar-Reza, Peyman; Bellamy, Larry (MDPI AG, 2022)Agricultural systems have entered a period of significant disruption due to impacts from change drivers, increasingly stringent environmental regulations and the need to reduce unwanted discharges, and emerging technologies ... -
Virtual Discussions to Support Climate Risk Decision Making on Farms
Reardon-Smith K; Mushtaq S; Cliffe N; Stone R; Ostini J; Lindesay J; Doyle, Joanne; Martin, Neil; Loch, Adam; Maraseni, Tek; Marcussen, Torben; Farley, Helen (2015)Climate variability represents a significant risk to farming enterprises. Effective extension of climate information may improve climate risk decision making and adaptive management responses to climate variability on ... -
Collaborative Management: Community Engagement Process as the Decision Making Process
Jenkins, B.; Henley, G. (University of Canterbury. Waterways Centre for Freshwater Management, 2013)Planning theory identifies a step-wise process for making decisions which typically include the following steps: define the problem, develop alternatives, evaluate alternatives, and make the decision. We are seeing the ...