Understanding Australian methylamphetamine drug markets through relational, temporal and spatial analyses

2021 ◽  
Author(s):  
Ana Popovic ◽  
Marie Morelato ◽  
Simon Baechler ◽  
Adrian De Grazia ◽  
Mark Tahtouh ◽  
...  
Plant Disease ◽  
2011 ◽  
Vol 95 (2) ◽  
pp. 126-136 ◽  
Author(s):  
E. Byamukama ◽  
A. E. Robertson ◽  
F. W. Nutter

The prevalence and incidence of Bean pod mottle virus (BPMV) have been reported to be on the increase in the United States but little is known about the temporal and spatial dynamics of this virus within soybean (Glycine max) fields. A quadrat-based sampling method was developed to quantify the within-field spread of BPMV in soybean in 2006 and 2007. Twenty-five 30-cm-long quadrats were established within each row of soybean in field plots consisting of six rows, each 7.6 m long and spaced 0.76 m apart. Four treatments were used to influence the temporal and spatial dynamics of BPMV epidemics. Treatments were: (i) establishment of a point source of BPMV inoculum within soybean plots; (ii) lambda-cyhalothrin insecticide applied at the V1 and R2 growth stages; (iii) establishment of a BPMV inoculum point source, plus the application of foliar insecticide sprays at the V1 and R2 growth stages; and (iv) a nontreated, noninoculated control. All quadrats (census) were sampled beginning 25 days after planting; sampling continued every 8 to 11 days until plants were senescent. Sap from leaf samples was extracted and tested for BPMV by enzyme-linked immunosorbent assay. The incidence of BPMV per treatment was plotted against time to produce BPMV incidence curves for temporal analyses. In addition, positions of BPMV-positive quadrats were mapped for spatial analyses. BPMV was detected within soybean plots on the first sampling date in 2006 (30 May) and on the second sampling date in 2007 (21 June). The rate of BPMV temporal spread within treatments ranged from 0.11 to 0.13 logits/day in 2006 and from 0.05 to 0.07 logits/day in 2007. Doubling times for BPMV incidence among treatments ranged from 5.4 to 6.4 days in 2006 and from 10.0 to 14.1 days in 2007. Soybean plots that had the earliest dates of BPMV detection within quadrats (x) also had the highest BPMV incidence (y) at the end of the growing season (R2 = 66.5 and 70.4% for 2006 and 2007, respectively). Spatial analyses using ordinary runs, black-white join-counts, and spatial autocorrelation revealed highly aggregated spatial patterns of BPMV-infected quadrats over time. Bean leaf beetle population densities were linearly related to BPMV incidence (P < 0.0001) in both years, indicating that BPMV epidemics were greatly influenced by bean leaf beetle population density. To our knowledge, this is the first study to quantify the seasonal temporal and spatial dynamics of BPMV spread within soybean.


2012 ◽  
Vol 33 (8) ◽  
pp. 1849-1862 ◽  
Author(s):  
C. Bonnefoy ◽  
H. Quenol ◽  
V. Bonnardot ◽  
G. Barbeau ◽  
M. Madelin ◽  
...  

2018 ◽  
Vol 10 (3) ◽  
pp. 11410
Author(s):  
R. K. Sharma ◽  
L. A.K. Singh

During 1984–86 and 1995–2016 winter surveys five stork species were observed in 12 study zones of the river Chambal in the Ganga tributary system.  Comparative temporal and spatial analyses of stork distribution are presented from two broad stretches of the river, 205km of Pali-Rajghat in the upstream and 230km of Rajghat-Pachhnada in the downstream.  Different species show different distribution patterns.  Study zones IV+V comprising 113km in the upstream and XI+XII comprising 75km in the downstream accounted for 66% of total stork sightings.  About 56% of total sightings were recorded downstream of Rajghat.  The Painted Storks Mycteria leucocephala comprised 52% of total stork sightings.  Eleven districts adjoining river Chambal recorded low rainfall prior to 2008 when sighting of storks abruptly increased, particularly in the downstream.  It is important to continue the monitoring of water birds in the National Chambal Sanctuary as it could lead to initiating conservation interventions in habitats in the region which experience extreme ecological conditions and fluctuations in populations. 


2013 ◽  
Vol 763 (2) ◽  
pp. 87 ◽  
Author(s):  
Ayumi Asai ◽  
Junko Kiyohara ◽  
Hiroyuki Takasaki ◽  
Noriyuki Narukage ◽  
Takaaki Yokoyama ◽  
...  

Author(s):  
Louis R. Joslyn ◽  
Marissa Renardy ◽  
Caleb Weissman ◽  
Nicole L. Grant ◽  
JoAnne L. Flynn ◽  
...  

2021 ◽  
Vol 61 (2) ◽  
pp. 41-71
Author(s):  
Robert Kalbarczyk ◽  
Eliza Kalbarczyk

The goals of this work were to assess differences in precipitation totals (Pr) in Poland in both time and space and to distinguish regions based on precipitation variability in the years 1951–2018. To assess precipitation conditions, the study used statistical and spatial analyses implemented in ArcGIS Desktop and STATISTICA software. The largest number of significant, positive correlations describing the linear Pr trend were found for March. The lowest monthly Pr, which represents only approximately 6% of the multiyear precipitation totals, was recorded in October 1951; the highest monthly Pr, which represents as much as approximately 355% of the multi-year precipitation totals, was recorded in October 1974. The study distinguished three precipitation regions of Poland.


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