Clump structure, population structure and non-destructive biomass estimation of the New Zealand carrageenophyte Sarcothalia lanceata (Gigartinaceae, Rhodophyta)

2016 ◽  
Vol 59 (5) ◽  
Author(s):  
Kate F. Neill ◽  
Wendy A. Nelson ◽  
Ruth Falshaw ◽  
Catriona L. Hurd
Keyword(s):  
New Zealand ◽  
Total Population ◽  
Natural Populations ◽  
Biomass Estimation ◽  
Suitable Candidate ◽  
Regression Methods ◽  
Fundamental Information ◽  
Clump Size ◽  
Non Destructive ◽  
Two Populations

Abstractis a New Zealand carrageenophyte with tetrasporophytic thalli that produce carrageenan very close to the idealised structure of lambda-carrageenan. As such there is interest in its potential for commercial utilisation. There is no information on the biology and ecology of natural populations of this species, but this knowledge is critical for determining whether a species is a suitable candidate for sustainable wild harvest or for aquaculture. Population studies were conducted at two sites in New Zealand’s South Island in order to provide fundamental information on this species. The structure (abundance and composition of male, female, tetrasporophytic and non-reproductive clumps) of the two populations was assessed monthly over a year, and population biomass estimated using regression methods. Seasonal variation was not evident in most of the parameters measured, but differences between sites were found in total population density, the density of different life-history phases, and clump size and structure. The turnover in biomass occurs more frequently at the blade level than at the clump level and the presence of a basal crust in this species promotes population stability.

scholarly journals Overview: The international group for indigenous health measurement and COVID-19

2021 ◽  
pp. 1-6
Author(s):  
Michele Connolly ◽  
Kalinda Griffiths ◽  
John Waldon ◽  
Malcolm King ◽  
Alexandra King ◽  
...  
Keyword(s):  
New Zealand ◽  
Total Population ◽  
Indigenous Health ◽  
Health Data ◽  
Indigenous Populations ◽  
Health Measurement ◽  
Country Group ◽  
International Group ◽  
The Us ◽  
The Impact

The International Group for Indigenous Health Measurement (IGIHM) is a 4-country group established to promote improvements in the collection, analysis, interpretation and dissemination of Indigenous health data, including the impact of COVID-19. This overview provides data on cases and deaths for the total population as well as the Indigenous populations of each country. Brief summaries of the impact are provided for Canada and New Zealand. The Overview is followed by. separate articles with more detailed discussion of the COVID-19 experience in Australia and the US.

Exploring a Hidden Epidemic: Drowning Among Adults Aged 65 Years and Older

2021 ◽  
pp. 089826432110147
Author(s):  
Tessa Clemens ◽  
Amy E. Peden ◽  
Richard C. Franklin
Keyword(s):  
Older Adults ◽  
New Zealand ◽  
Retrospective Analysis ◽  
Older Adult ◽  
Total Population ◽  
Downward Trend ◽  
Population Projections ◽  
Prevention Strategies ◽  
Drowning Prevention

Objectives: To explore trends in unintentional fatal drowning among older adults (65 years and older). Methods: Total population retrospective analysis of unintentional fatal drowning among people aged 65 years and older in Australia, Canada and New Zealand (2005–2014) was conducted. Results: 1459 older adults died. Rates ranged from 1.69 (Canada) to 2.20 (New Zealand) per 100,000. Trends in crude drowning rates were variable from year to year. A downward trend was observed in New Zealand (y = −.507ln(x) + 2.9918), with upward trends in Australia (y = .1056ln(x) + 1.5948) and Canada (y = .1489ln(x) + 1.4571). Population projections suggest high annual drowning deaths by 2050 in Australia (range: 120–190; 1.69–2.76/100,000) and Canada (range: 209–430; 1.78–3.66/100,000). Significant locations and activities associated with older adult drowning differed by country and age band. Conclusions: Drowning among older adults is a hidden epidemic claiming increasing lives as the population ages. Targeted drowning prevention strategies are urgently needed in Australia, Canada, New Zealand and other similar countries.

scholarly journals Development of non-destructive age indices for three New Zealand loranthaceous mistletoes

1997 ◽  
Vol 35 (3) ◽  
pp. 337-343 ◽  
Author(s):  
David A. Norton ◽  
Jenny J. Ladley ◽  
Ashley D. Sparrow
Keyword(s):  
New Zealand ◽  
Non Destructive

scholarly journals Estimation on the Change of Above-Ground Carbon Stock in Arboretum University of Lampung

2018 ◽  
Vol 6 (2) ◽  
pp. 51
Author(s):  
Kristian Gomos Banjarnahor ◽  
Agus Setiawan ◽  
Arief Darmawan
Keyword(s):  
Carbon Stock ◽  
The Body ◽  
Total Carbon ◽  
Biomass Estimation ◽  
Total Biomass ◽  
Biomass Carbon ◽  
Process Plants ◽  
Carbon Dioxide Co2 ◽  
Non Destructive ◽  
Earth Temperature

Carbon dioxide (CO2) is a greenhouse gas that could increase earth temperature. Through the photosynthesis process, plants absorb CO2 then convert it into carbohydrates, then sequester it in the body of plants. The purpose of the study is to estimate the changes in the carbon stock at the Arboretum University of Lampung. The methods used were stock difference by counting the carbon changes or difference between carbon stored in 2010 and 2016. While the stand biomass estimation measured by trees general allometric equations with non-destructive sampling. The results showed that the total carbon was 46% of the total biomass. Carbon stock in 2016 were about 226.75 ton/ha, showing an increase of 59.72% or 84.78 ton/ha compared to in 2010’s. The increase was due to additional growth of 804 trees as a result of plantation activity and natural regeneration. Keywords: Arboretum, biomass, carbon, necromass, University of Lampung.

scholarly journals Simulating the impact of vaccination rates on the initial stages of a COVID-19 outbreak in New Zealand (Aotearoa) with a stochastic model

2021 ◽  
Author(s):  
Leighton M Watson
Keyword(s):  
New Zealand ◽  
Stochastic Model ◽  
Process Model ◽  
Branching Process ◽  
Total Population ◽  
Median Number ◽  
Vaccination Rate ◽  
Vaccination Rates ◽  
The Impact ◽  
Different Levels

Aim: The August 2021 COVID-19 outbreak in Auckland has caused the New Zealand government to transition from an elimination strategy to suppression, which relies heavily on high vaccination rates in the population. As restrictions are eased and as COVID-19 leaks through the Auckland boundary, there is a need to understand how different levels of vaccination will impact the initial stages of COVID-19 outbreaks that are seeded around the country. Method: A stochastic branching process model is used to simulate the initial spread of a COVID-19 outbreak for different vaccination rates. Results: High vaccination rates are effective at minimizing the number of infections and hospitalizations. Increasing vaccination rates from 20% (approximate value at the start of the August 2021 outbreak) to 80% (approximate proposed target) of the total population can reduce the median number of infections that occur within the first four weeks of an outbreak from 1011 to 14 (25th and 75th quantiles of 545-1602 and 2-32 for V=20% and V=80%, respectively). As the vaccination rate increases, the number of breakthrough infections (infections in fully vaccinated individuals) and hospitalizations of vaccinated individuals increases. Unvaccinated individuals, however, are 3.3x more likely to be infected with COVID-19 and 25x more likely to be hospitalized. Conclusion: This work demonstrates the importance of vaccination in protecting individuals from COVID-19, preventing high caseloads, and minimizing the number of hospitalizations and hence limiting the pressure on the healthcare system.

scholarly journals Ground reference data for sugarcane biomass estimation in São Paulo state, Brazil

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Ramses A. Molijn ◽  
Lorenzo Iannini ◽  
Jansle Vieira Rocha ◽  
Ramon F. Hanssen
Keyword(s):  
Reference Data ◽  
Growth Dynamics ◽  
Sao Paulo ◽  
Biomass Estimation ◽  
São Paulo ◽  
Satellite Measurements ◽  
Paulo State ◽  
São Paulo State ◽  
Non Destructive ◽  
Production Dynamics

Abstract In order to make effective decisions on sustainable development, it is essential for sugarcane-producing countries to take into account sugarcane acreage and sugarcane production dynamics. The availability of sugarcane biophysical data along the growth season is key to an effective mapping of such dynamics, especially to tune agronomic models and to cross-validate indirect satellite measurements. Here, we introduce a dataset comprising 3,500 sugarcane observations collected from October 2014 until October 2015 at four fields in the São Paulo state (Brazil). The campaign included both non-destructive measurements of plant biometrics and destructive biomass weighing procedures. The acquisition plan was designed to maximize cost-effectiveness and minimize field-invasiveness, hence the non-destructive measurements outnumber the destructive ones. To compensate for such imbalance, a method to convert the measured biometrics into biomass estimates, based on the empirical adjustment of allometric models, is proposed. In addition, the paper addresses the precisions associated to the ground measurements and derived metrics. The presented growth dynamics and associated precisions can be adopted when designing new sugarcane measurement campaigns.

Prediction of Remaining Life Time Based on Measurements of Stress for Thermal Barrier Coatings

2001 ◽  
Author(s):  
E. H. Jordan ◽  
W. Xie ◽  
M. Gell ◽  
L. Xie ◽  
F. Tu ◽  
...  
Keyword(s):  
Neural Network ◽  
Optical Measurement ◽  
Life Time ◽  
Remaining Life ◽  
Neural Network Approach ◽  
Regression Methods ◽  
Signal Features ◽  
The Neural Network ◽  
Network Methods ◽  
Non Destructive

Abstract Non-destructive determination of the remaining life of coatings of gas turbine parts is highly desirable. The present paper describes early attempts to prove the feasibility of doing this based on the optical measurement of the stress in the oxide that attaches the coating to the metal component. Both regression methods and neural network methods are compared and it was found that the neural network approach was superior for the case where multiple signal features were present. All methods provide useful predictions for the idealized case considered. Challenges presented by more complicated thermal cycles are discussed briefly.

Genetic control over survival in Pacific salmon (Oncorhynchus spp.): experimental evidence between and within populations of New Zealand chinook salmon (O. tshawytscha)

2003 ◽  
Vol 60 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Martin J Unwin ◽  
Michael T Kinnison ◽  
Nelson C Boustead ◽  
Thomas P Quinn
Keyword(s):  
New Zealand ◽  
Chinook Salmon ◽  
Pacific Salmon ◽  
Survival Rates ◽  
Genetic Correlations ◽  
Local Conditions ◽  
Family Level ◽  
Sib Families ◽  
Similar Survival ◽  
Two Populations

The ability to survive to adulthood and return to natal sites is a fundamental characteristic of anadromous salmonids, and low survival is likely to have prevented establishment of new populations within and outside their native range. We hypothesised that there is family-level genetic variation in traits contributing to survival and that populations evolve to maximise survival in response to prevailing local conditions. To test these predictions, we compared postrelease survival for chinook salmon families from two populations established in New Zealand in the 1900s. Both populations, Glenariffe Stream and Hakataramea River, had similar survival when released after translocation to a drainage familiar to neither population. However, Glenariffe families had higher survival than Hakataramea families when both populations were released from Glenariffe Stream, indicating a survival advantage for the local fish. In addition, there were significant correlations between survival rates for paternal half-sib families of Glenariffe fish and between survival rates for families released from the two locations. Family-specific survival was positively correlated with weight at release, but there were underlying genetic correlations unexplained by size. Taken together, these results suggest considerable genetic influence over survival and return of salmon and that population-specific adaptation can occur within 30 generations of establishment.

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