New Zealand aquaculture industry: research, opportunities and constraints for integrative multitrophic farming

Author(s):  
Jeanette M. E. Stenton-Dozey ◽  
Philip Heath ◽  
Jeffrey S. Ren ◽  
Leonardo N. Zamora
2008 ◽  
Vol 65 (5) ◽  
pp. 805-810 ◽  
Author(s):  
C. M. Denny

Abstract Denny, C. M. 2008. Development of a method to reduce the spread of the ascidian Didemnum vexillum with aquaculture transfers. – ICES Journal of marine Science, 65: 805–810. The colonial ascidian Didemnum vexillum was discovered in Shakespeare Bay (New Zealand) in 2001 and now poses a serious threat to the aquaculture industry. I assess several techniques to eliminate Didemnum from Greenshell™ seed-mussels (Perna canaliculus) in order to reduce the spread of the pest species with aquaculture transfers. Simple approaches based on fresh-water immersion proved ineffective or impractical in controlling Didemnum, so different chemical treatments were evaluated. Initial trials were conducted using acetic acid at concentrations ranging from 0.1 to 10% for a range of exposure times. However, at concentrations or exposure times tolerated by seed-mussels, Didemnum colonies survived with, on average, ∼80% mortality. These results led to the testing of other chemicals, and sodium hypochlorite (bleach) was identified as a potential candidate. It was determined that dipping Didemnum in a 0.5% solution of bleach for 2 min was a 100% effective method of treatment that also left seed-mussels relatively unaffected.


2001 ◽  
Vol 15 (1) ◽  
pp. 55-61 ◽  
Author(s):  
C.M. Kirk ◽  
D.M. Bibby

Emanating from its ‘last bus stop on the planet’ remoteness, New Zealand has traditionally faced significant barriers to the development of its export base. In the new knowledge-based economies, many of these barriers no longer apply. In order to take advantage of this new global environment and turn around its declining economic performance, New Zealand must take a number of key steps. The authors propose an approach that will enable the country to develop a knowledge-based advanced technology sector that will: specialize in niche products; be flexible and responsive; have a range of products and services across a number of industrial sectors; and have a global market focus. In proposing this solution, they focus on the respective roles of government, industry, research providers and education providers, and make recommendations accordingly.


AMBIO ◽  
2015 ◽  
Vol 44 (7) ◽  
pp. 694-704 ◽  
Author(s):  
Jay M. Iwasaki ◽  
Barbara I. P. Barratt ◽  
Janice M. Lord ◽  
Alison R. Mercer ◽  
Katharine J. M. Dickinson

2011 ◽  
Vol 51 (1) ◽  
pp. 71 ◽  
Author(s):  
D. L. Hopkins ◽  
E. S. Toohey ◽  
M. J. Kerr ◽  
R. van de Ven

A comparison of the peak shear force results for a Lloyd texture analyser and a G2 Tenderometer was undertaken using both sheep and beef meat. The G2 is a new version of the Tenderometer developed originally by the Meat Industry Research Institute of New Zealand and uses an electric linear motor to compress the sample, but still retains the blunt wedge-shaped ‘tooth’. By comparison the Lloyd texture analyser can be used with a shearing head derived from the Warner–Bratzler type of head. Analysis of sheep samples (n = 148) and beef samples (n = 192) of the same size revealed that the average G2 Tenderometer shear force results were ~1.3 times those for the Lloyd when testing less tender samples. An examination of the repeatability within cook block samples for these less tender sub-samples revealed a coefficient of variation of ~12% for both the Lloyd and Tenderometer instruments. For the more tender samples, the average results for the two instruments did not differ significantly, but for less tender samples it was observed that the results for the Tenderometer were more variable than those for the Lloyd texture analyser. Data on shear force generated by the G2 are not equivalent to that generated by the Lloyd and use of the G2 requires more replicates to be tested per sample to achieve an equivalent level of precision to that of a Lloyd texture analyser. As a guide only, G2 Tenderometer values can by multiplied by 0.75–0.80 to give approximate Lloyd results if required for samples of average toughness, otherwise the following model can be used Lloyd = 2.49 Tenderometer0.72.


2021 ◽  
Author(s):  
◽  
Ethan Duff

<p>This study explored the use of Building Energy Modelling (BEM) and BEM calibration techniques for existing buildings as currently employed in New Zealand Industry.  Research on the use of BEM for existing building energy efficiency retrofits has increased dramatically over the past few decades. However, this use of BEM has been criticised for inaccurate and unbelievable results. These are often the result of not closely matching the building being modelled due to uncertainties around model inputs and modeller assumptions. As a result, researchers have responded by developing techniques to ‘calibrate’ models by comparing the simulated building with the actual building energy use thus providing quality assurance.  However, many of these techniques are difficult, esoteric, convoluted or impractical for industry professionals. This research explored if a simple calibration technique developed at Victoria University of Wellington by Dr. Shaan Cory would meet the needs of industry practitioners. The technique was turned into a usable tool and student trialled to prepare it for industry assessment. Four BEM experts were then interviewed in a series of individual interviews and workshops trialling the use of the technique.  The research concluded that the use of BEM is limited in New Zealand due to a perceived Industry value gap – building owners are not aware of the benefits of modelling whole-building retrofits. This leads to reduced uptake of calibration techniques from industry resulting in a credibility gap, where the modeller themselves may not be confident of their own BEMs. This is due, in part, to a lack of industry quality assurance guidelines, usable calibration tools, and certainty around model inputs. The adoption of the streamlined Cory method would be of significant benefit to practitioners. However, it was identified that it did not solve all issues relating to uncertainty estimation.</p>


2021 ◽  
Author(s):  
◽  
Ethan Duff

<p>This study explored the use of Building Energy Modelling (BEM) and BEM calibration techniques for existing buildings as currently employed in New Zealand Industry.  Research on the use of BEM for existing building energy efficiency retrofits has increased dramatically over the past few decades. However, this use of BEM has been criticised for inaccurate and unbelievable results. These are often the result of not closely matching the building being modelled due to uncertainties around model inputs and modeller assumptions. As a result, researchers have responded by developing techniques to ‘calibrate’ models by comparing the simulated building with the actual building energy use thus providing quality assurance.  However, many of these techniques are difficult, esoteric, convoluted or impractical for industry professionals. This research explored if a simple calibration technique developed at Victoria University of Wellington by Dr. Shaan Cory would meet the needs of industry practitioners. The technique was turned into a usable tool and student trialled to prepare it for industry assessment. Four BEM experts were then interviewed in a series of individual interviews and workshops trialling the use of the technique.  The research concluded that the use of BEM is limited in New Zealand due to a perceived Industry value gap – building owners are not aware of the benefits of modelling whole-building retrofits. This leads to reduced uptake of calibration techniques from industry resulting in a credibility gap, where the modeller themselves may not be confident of their own BEMs. This is due, in part, to a lack of industry quality assurance guidelines, usable calibration tools, and certainty around model inputs. The adoption of the streamlined Cory method would be of significant benefit to practitioners. However, it was identified that it did not solve all issues relating to uncertainty estimation.</p>


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