Taxonomic and faunistic revision of Australian Diaphanosoma (Cladocera : Sididae)

1981 ◽  
Vol 32 (5) ◽  
pp. 813 ◽  
Author(s):  
NM Korovchinsky
Keyword(s):  
Type Material ◽  
South Eastern ◽  
Eastern Australia ◽  
North Eastern ◽  
Relationship Of ◽  
The Relationship

Examination of all type material and specimens collected from south-eastern, north-eastern and eastern Australia revealed five Diaphanosoma species in the Australian fauna, one of which is new- D. australiensis. D. excisum and D. unguiculatum are redescribed, and the lectotypes and paralectotypes of these species distinguished. The relationship of the Diaphanosoma fauna in Australia to that of other zoogeographical regions is discussed.

Relationship between the Southern Oscillation Index and Australian sugarcane yields

1994 ◽  
Vol 45 (7) ◽  
pp. 1557 ◽  
Author(s):  
I Kuhnel
Keyword(s):  
Southern Hemisphere ◽  
Southern Oscillation Index ◽  
Southern Oscillation ◽  
Significance Testing ◽  
The Past ◽  
Northern Areas ◽  
Eastern Australia ◽  
North Eastern ◽  
Sugarcane Yield ◽  
The Relationship

This study examines the relationship between the Southern Oscillation Index and the sugarcane yield anomalies at 27 mills in north-eastern Australia (Queensland) for the period 1950-1989. The major results of this work indicate that the SO1 alone seems to have only a limited value as predictor of total sugarcane yields over large areas (i.e. the whole of Queensland). However, on a smaller scale, the SO1 appears to be a useful indicator of yields for the northern sugarcane districts. In these northern areas, the highest correlations with the SO1 are reached during the southern hemisphere spring and summer months 6 to 11 months prior to the harvest. They are negative and explain about 40% of the total variance. They also suggest that a positive SO1 during the spring and summer months tends to be followed by lower-than-normal yields at the following harvest and vice versa. This signal is rather robust and withstands rigorous significance testing. Moreover, it appears that the relationship between the SO1 and the sugarcane yields has been relatively strong and stable for the past 40 years, but weakened substantially during the 1930-1940 period.

Responses of serradella and subterranean clover to phosphorus from superphosphate and Duchess rock phosphate

1985 ◽  
Vol 25 (4) ◽  
pp. 902 ◽  
Author(s):  
MDA Bolland
Keyword(s):  
Rock Phosphate ◽  
Phosphorus Content ◽  
Subterranean Clover ◽  
Fertilizer Application ◽  
Sampling Time ◽  
Eastern Australia ◽  
North Eastern ◽  
Herbage Yield ◽  
Seed Yields ◽  
The Relationship

The responses of yellow serradella, slender serradella and subterranean clover to phosphorus from superphosphate and an apatite rock phosphate from Duchess, north-eastern Australia, were measured in a field experiment near Esperance, W.A. Over the 16 months of the experiment, dry herbage yields depended upon the phosphorus content of dried herbage. For each sampling time, the relationship between dry herbage yield and the phosphorus content of dried herbage was similar for both fertilizers and for all three species. At each rate of fertilizer application, the amount of phosphorus absorbed by the plants from the rock phosphate was less than that from superphosphate, and this limited yield. When fertilized with superphosphate, subterranean clover absorbed less phosphorus than the serradellas for each rate of fertilizer application, and this also reduced yield. Thus less phosphorus from superphosphate was required to produce serradella than was required to produce the same weight of subterranean clover. When fertilized with rock phosphate, 1982 herbage production was in the order: yellow serradella> subterranean clover>slender serradella. 1982 seed yields were: subterranean clover>yellow serradella> slender serradella. 1 983 herbage yields were: slender serradella>yellow serradella> subterranean clover. For herbage yields, for each rate of fertilizer application, this order was also dictated by the amount of phosphorus absorbed by each of the three species.

Population ranges of Miniopterus schreibersii (Chiroptera) in south-eastern Australia

1969 ◽  
Vol 17 (4) ◽  
pp. 665 ◽  
Author(s):  
PD Dwyer
Keyword(s):  
New South ◽  
New South Wales ◽  
South Australia ◽  
South Eastern ◽  
Navigational Cues ◽  
South Wales ◽  
Eastern Australia ◽  
North Eastern ◽  
Western Victoria ◽  
South Eastern Australia

In south-eastern Australia banding of M. schreibersii has been concentrated in four areas: north-eastern New South Wales, south-eastern New South Wales, south-eastern Victoria, and south-western Victoria and south-eastern South Australia. The present paper analyses 2083 reported movements. Only 17 of these are from one of the four areas to another with the longest movement being 810 miles. Biologically and geographically separate populations of M. schreibersii are recognized in both north-eastern and south-eastern New South Wales. Each population has its basis in dependence upon a specific nursery site which is used annually by nearly all adult females in that population. Boundaries of population ranges in New South Wales are considered to be prominent features of physiography (i.e. divides). Bats move between population ranges less often than they move within population ranges. This cannot be explained solely in terms of the distances separating roosts. Available movement records from Victoria and South Australia are consistent with the pattern described for New South Wales. Two biologically recognizable populations (i.e, different birth periods) occur in south-western Victoria and south-eastern South Australia but these may have overlapping ranges. Only one nursery colony of M. schreibersii is known from south-eastern Victoria. On present evidence it remains possible that the apparent integrity of the population associated with this nursery is merely a consequence of distance from other areas of banding activity. Detailed analyses of movements in bats may provide direct evidence as to the kinds of cues by which a given species navigates. Thus the physiographic basis described for population ranges in New South Wales is consistent with the view that M. schreibersii may orientate to waterways or divides or both. The probability that there are area differences in the subtlety or nature of navigational cues is implied by the different physiographic circumstances of south-western Victoria and south-eastern South Australia. It is suggested that knowledge of population range boundaries may aid planning of meaningful homing experiments.

Marine and estuarine phylogeography of the coasts of south-eastern Australia

2016 ◽  
Vol 67 (11) ◽  
pp. 1597 ◽  
Author(s):  
D. J. Colgan
Keyword(s):  
South Australia ◽  
Rocky Intertidal ◽  
Phylogeographic Structure ◽  
Subtidal Zone ◽  
South Eastern ◽  
South Wales ◽  
Eastern Australia ◽  
North Eastern ◽  
Genetic Techniques ◽  
South Eastern Australia

Understanding a region’s phylogeography is essential for an evolutionary perspective on its biological conservation. This review examines the phylogeographic structures in south-eastern Australia that have been revealed by mitochondrial DNA sequencing and other genetic techniques and examines whether they can be explained by known factors. The review covers species that occur in the intertidal zone or, even infrequently, in the shallow subtidal zone. The coasts most frequently associated with phylogeographic structure are the boundaries between the Peronian and Maugean biogeographical provinces in southern New South Wales and the Maugean and Flindersian provinces in South Australia, the areas in Victoria and north-eastern Tasmania separated by the Bassian Isthmus at glacial maxima, long sandy stretches without rocky intertidal habitat on the Ninety Mile Beach in Victoria and the Younghusband Peninsula–Coorong in South Australia, southern Tasmania and Bass Strait, which acts as a barrier for littoral species.

A revision of the taxonomy of the gennus Daphnia (Crustacea : Daphnidae) in south-eastern Australia

1977 ◽  
Vol 25 (2) ◽  
pp. 371 ◽  
Author(s):  
PDN Hebert
Keyword(s):  
Electrophoretic Analysis ◽  
Daphnia Carinata ◽  
South Eastern ◽  
Morphological Studies ◽  
Adult Females ◽  
Eastern Australia ◽  
Relationship Of ◽  
South Eastern Australia

The taxonomy of Daphnia in south-eastern Australia has been revised on the basis of conventional morphological studies supplemented by electrophoretic analysis. Ten species are recognized; of these five have not previously been described and three others have been treated as forms of Daphnia carinata. Detailed descriptions, with figures of the females of all species and of the males of eight species, are included as well as a key to the adult females. Comment is made on the ecology and distribution of the species and on the zoogeographical relationship of Australian Daphnia.

scholarly journals Genomic Diversity and Spatiotemporal Distributions of Lassa Virus Outbreaks in Nigeria

2019 ◽  
Author(s):  
Abdulwahid Abaukaka Yahaya ◽  
Yazdan Asgari
Keyword(s):  
Genomic Sequence ◽  
Lassa Fever ◽  
Genomic Diversity ◽  
Surveillance Program ◽  
Lassa Virus ◽  
Vector Surveillance ◽  
Recent Transmission ◽  
North Eastern ◽  
Relationship Of ◽  
The Relationship

Abstract Background Lassa virus (LASV) is a single-negative strand RNA Arenavirus (genus Mammarenavirus ), oriented in both negative and positive senses. Due to the increase in fatality rate of deadly disease LASV caused (Lassa fever), widespread of LASV in Nigeria has been a subject of interest. Following the upsurge of LASV endemicity in 2012, another marked incidence were recorded in Nigeria, 2018, with 394 confirmed cases in 19 states, and estimated 25% cases led to death. This study aimed at acquiring the genetic variation of LASV ancestral evolution with evolvement of new strains in different lineage and its geographical distributions within specific time of outbreaks through Bayesian inference, using genomic sequence across affected states in Nigeria. Results From the result, we were able to establish the relationship of Lassa mamarenavirus and other arenaviruses by classifying them into distinct monophyletic groups, i.e. the old world arenaviruses, new world arenaviruses, and Reptarenaviruses. Corresponding promoter sites for genetic expression of the viral genome were analyzed based on Transcription Starting Site (TSS), the S_Segment (MK291249.1) is about 2917–2947 bp and L_Segment (MH157036.1), is about1863–1894 bp long. LASV sequence obtained from different part of Nigeria were genetically related. Benue, Imo, and Bauchi states represent the host etiology of the LASV. Spread across other neighboring states were based on genetic pedigree dated to previous outbreaks as at year 2008 to 2012. Phylogeography of recent transmission from year 2017 to 2019 indicates vectors were fast spreading LASV from Ondo states to Delta, Edo, and Kogi states, while spread across north eastern states suggests a vector origin from Bauchi state. Conclusions The study evidently outlined the path of transmission based on genetic homology of the sampled LASV sequences in affected geographical locations. we suggests, federal government should initiate a vector surveillance program to curtails further spread of LASV, especially, states bordering with north western states and north central Nigeria. Keywords Genomic, Lassa Virus, Phylogeography, Spatiotemporal and Nigeria

scholarly journals Redclaw crayfish (Cherax quadricarinatus): spatial distribution and dispersal pattern in Java, Indonesia

2021 ◽  
pp. 16
Author(s):  
Surya Gentha Akmal ◽  
Agus Santoso ◽  
Yonvitner ◽  
Ernik Yuliana ◽  
Jiří Patoka
Keyword(s):  
Spatial Distribution ◽  
New Records ◽  
Spatial Behaviour ◽  
Native Range ◽  
Field Sampling ◽  
Dispersal Pattern ◽  
Cherax Quadricarinatus ◽  
Eastern Australia ◽  
North Eastern ◽  
The Relationship

Cherax quadricarinatus is a parastacid crayfish native to parts of north-eastern Australia and southern New Guinea. It is a relatively large and highly fecund species in comparison with other crayfish of this genus. Since C. quadricarinatus was previously assessed as an invasive species in Indonesia, further monitoring of this species in this region was recommended. Detailed understanding of its spatial behaviour can be the basis for further research aimed at improved management. Field sampling was performed outside its native range in Java, Indonesia from 2019–2020, resulting in data useful for modelling the species' spatial distribution. The occurrence of the species was confirmed in 66 of 70 surveyed localities with 51 new records for Indonesia. Future investigations focused on the relationship between the spatial distribution and dispersal pattern of C. quadricarinatus and its interactions with native biota and entire ecosystems were recommended.

scholarly journals Flooding and Arboviral Disease: Predicting Ross River Virus Disease Outbreaks Across Inland Regions of South-Eastern Australia

2019 ◽  
Author(s):  
Julie A Tall ◽  
Michelle L Gatton
Keyword(s):  
Disease Risk ◽  
Disease Outbreaks ◽  
Flood Frequency ◽  
Ross River Virus ◽  
Climate Zones ◽  
South Eastern ◽  
Eastern Australia ◽  
The Relationship ◽  
Arboviral Disease ◽  
South Eastern Australia

AbstractFlood frequency is expected to increase across the globe with climate change. Understanding the relationship between flooding and arboviral disease can reduce disease risk and associated costs. South-eastern Australia is dominated by the flood-prone Murray-Darling River system where the incidence of Australia’s most common arboviral disease, Ross River virus (RRV), is high. This study aimed to determine the relationship between riverine flooding and RRV disease outbreaks in inland south-eastern Australia, specifically New South Wales (NSW). Each study month from 1991 to 2013, for each of 37 local government areas (LGAs) was assigned ‘outbreak/non-outbreak’ status based on long-term trimmed-average age-standardized RRV notification rates and ‘flood/non-flood’ status based on riverine overflow. LGAs were grouped into eight climate zones with the relationship between flood and RRV outbreak modeled using generalized estimating equations. Modeling adjusted for rainfall in the previous 1–3 mo. Spring–summer flooding increased the odds of summer RRV outbreaks in three climate zones before and after adjusting for rainfall 1, 2, and 3 mo prior to the outbreak. Flooding at any time of the year was not predictive of RRV outbreaks in the remaining five climate zones. Predicting RRV disease outbreaks with flood events can assist with more targeted mosquito spraying programs, thereby reducing disease transmission and mosquito resistance.

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