The Strategic Use of Rodenticides Against House Mice (Mus Domesticus) Prior to Crop Invasion.

1994 ◽  
Vol 21 (1) ◽  
pp. 11 ◽  
Author(s):  
BJ Kay ◽  
LE Twigg ◽  
HI Nicol
Keyword(s):  
Generalized Linear Models ◽  
Predictive Models ◽  
Linear Models ◽  
Control Strategies ◽  
Crop Damage ◽  
House Mice ◽  
Mus Domesticus ◽  
Short Term ◽  
Over Time

This study evaluated the effect of baiting refuge habitats around irrigated soyabeans with bromadiolone to control house mice and reduce their invasion of crops. Generalized linear models were constructed and used to predict changes in mouse abundance over time in both refuge and crop habitats of treated and untreated plots. Compared with untreated plots, bromadiolone significantly reduced the number of mice inhabiting the refuge habitat and reduced the rate at which mice invaded and colonized the adjacent crops. Despite this, no significant reductions in damage were detected as mice numbers failed to reach critical densities for crop damage on the untreated plots. This indicates a need for short-term predictive models when considering control strategies.

The use of artifical perches to increase predation on house mice (mus domesticus) by raptors

1994 ◽  
Vol 21 (1) ◽  
pp. 95 ◽  
Author(s):  
BJ Kay ◽  
LE Twigg ◽  
TJ Korn ◽  
HI Nicol
Keyword(s):  
Population Density ◽  
Linear Models ◽  
Management Strategies ◽  
Crop Damage ◽  
Birds Of Prey ◽  
House Mice ◽  
Mus Domesticus ◽  
Generalised Linear Models ◽  
Mouse Population ◽  
Over Time

Changes in raptor and mouse abundance over time in response to the introduction of artificial perches for raptors were analysed using generalised linear models. The placement of artificial perches around the perimeter of irrigated soybean crops significantly increased the number of diurnal raptors visiting and hunting over these crops compared with untreated crops. This increased hunting pressure reduced (a) the rate at which the mouse population increased in the crops and (b) the maximum mouse population density. These effects were greater when artificial perches were placed at 100-m spacings rather than 200-m spacings. No significant reductions in mouse damage were detected as mice failed to reach threshold densities for crop damage on the untreated plots. Despite this, the use of artificial perches to attract birds of prey may be a useful addition to rodent management strategies.

scholarly journals Adiposity and attained height in adolescents: a longitudinal analysis from the LabMed Physical Activity Study

2019 ◽  
Vol 32 (10) ◽  
pp. 1131-1137
Author(s):  
Rafaela Rosário ◽  
Cesar Agostinis-Sobrinho ◽  
Luís Lopes ◽  
Pedro Moreira ◽  
Patrícia Padrão ◽  
...  
Keyword(s):  
Physical Activity ◽  
Socioeconomic Status ◽  
Cohort Study ◽  
Body Fat ◽  
Generalized Linear Models ◽  
Intervention Studies ◽  
Linear Models ◽  
Overweight And Obesity ◽  
Pubertal Stage ◽  
Over Time

Abstract Background To investigate the associations between adiposity and attained height over a 2-year period in healthy adolescents. Methods One thousand and seventeen adolescents aged 12–18 years participated in this cohort study; 893 (87.8%) were reevaluated 1 year later (T2) and 734 (72.2%) subjects 2 years later (T3). Body fat and anthropometry were measured according to standardized procedures. Socioeconomic status, pubertal stage and lifestyles determinants were gathered and used as confounders. Prospective associations between adiposity and height were examined using generalized linear models. Results Greater adiposity at T1 was significantly associated with a lower attained height over time, when adjusting for confounders, which varied between 0.03 and 1 cm in T2 and 0.1 and 1 cm in T3. Conclusions Excess of adiposity in early adolescence may exert an effect on attained height in late adolescence. This study supports future lifestyles intervention studies aiming at preventing overweight and obesity and improving attained height.

Using generalized linear models to estimate selectivity from short-term recoveries of tagged red drum Sciaenops ocellatus: Effects of gear, fate, and regulation period

2010 ◽  
Vol 102 (3) ◽  
pp. 266-275 ◽  
Author(s):  
Nathan M. Bacheler ◽  
Joseph E. Hightower ◽  
Summer M. Burdick ◽  
Lee M. Paramore ◽  
Jeffrey A. Buckel ◽  
...  
Keyword(s):  
Generalized Linear Models ◽  
Linear Models ◽  
Red Drum ◽  
Sciaenops Ocellatus ◽  
Short Term

scholarly journals Consistent Estimation of Generalized Linear Models with High Dimensional Predictors via Stepwise Regression

Entropy ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. 965
Author(s):  
Alex Pijyan ◽  
Qi Zheng ◽  
Hyokyoung G. Hong ◽  
Yi Li
Keyword(s):  
Generalized Linear Models ◽  
Predictive Models ◽  
Linear Models ◽  
Penalized Regression ◽  
Screening Methods ◽  
Final Model ◽  
Variable Screening ◽  
Model Control ◽  
Stepwise Procedure ◽  
Selection Operator

Predictive models play a central role in decision making. Penalized regression approaches, such as least absolute shrinkage and selection operator (LASSO), have been widely used to construct predictive models and explain the impacts of the selected predictors, but the estimates are typically biased. Moreover, when data are ultrahigh-dimensional, penalized regression is usable only after applying variable screening methods to downsize variables. We propose a stepwise procedure for fitting generalized linear models with ultrahigh dimensional predictors. Our procedure can provide a final model; control both false negatives and false positives; and yield consistent estimates, which are useful to gauge the actual effect size of risk factors. Simulations and applications to two clinical studies verify the utility of the method.

scholarly journals Preparation burning may not improve short-term seed survival in an Amazonian savanna

2021 ◽  
Vol 2 ◽  
Author(s):  
Victor J. U. R Rodriguez Chuma ◽  
Darren Norris ◽  
Taires P. da Silva ◽  
Jéssica A. da Silva ◽  
Keison S. Cavalcante ◽  
...  
Keyword(s):  
Generalized Linear Models ◽  
Linear Models ◽  
Brazilian Amazon ◽  
Seed Removal ◽  
Euterpe Oleracea ◽  
Seed Type ◽  
Short Term ◽  
Tropical Regions ◽  
Seed Infestation

Abstract The role of fire in the management of degraded areas remains strongly debated. Here we experimentally compare removal and infestation of popcorn kernels (Zea mays L. – Poaceae) and açaí fruits (Euterpe oleracea Mart. – Arecaceae) in one burned and two unburned savanna habitats in the eastern Brazilian Amazon. In each habitat, a total of ten experimental units (five per seed type) were installed, each with three treatments: (1) open access, (2) vertebrate access, and (3) invertebrate access. Generalized linear models showed significant differences in both seed removal (P < 0.0001) and infestation (P < 0.0001) among seed type, habitats and access treatments. Burned savanna had the highest overall seed infestation rate (24.3%) and invertebrate access increased açaí seed infestation levels to 100% in the burned savanna. Increased levels of invertebrate seed infestation in burned savanna suggest that preparation burning may be of limited use for the management and restoration of such habitats in tropical regions.

scholarly journals Longitudinal Data Analyses Using Linear Mixed Models in SPSS: Concepts, Procedures and Illustrations

2011 ◽  
Vol 11 ◽  
pp. 42-76 ◽  
Author(s):  
Daniel T. L. Shek ◽  
Cecilia M. S. Ma
Keyword(s):  
Longitudinal Data ◽  
Generalized Linear Models ◽  
Mixed Models ◽  
Linear Models ◽  
Linear Mixed Models ◽  
Hierarchical Linear Models ◽  
Data Analyses ◽  
Basic Concepts ◽  
User Friendly ◽  
Over Time

Although different methods are available for the analyses of longitudinal data, analyses based on generalized linear models (GLM) are criticized as violating the assumption of independence of observations. Alternatively, linear mixed models (LMM) are commonly used to understand changes in human behavior over time. In this paper, the basic concepts surrounding LMM (or hierarchical linear models) are outlined. Although SPSS is a statistical analyses package commonly used by researchers, documentation on LMM procedures in SPSS is not thorough or user friendly. With reference to this limitation, the related procedures for performing analyses based on LMM in SPSS are described. To demonstrate the application of LMM analyses in SPSS, findings based on six waves of data collected in the Project P.A.T.H.S. (Positive Adolescent Training through Holistic Social Programmes) in Hong Kong are presented.

Managing crop damage caused by house mice (Mus domesticus) in Australia

2010 ◽  
Vol 5 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Shahram KABOODVANDPOUR ◽  
Luke K.-P. LEUNG
Keyword(s):  
Crop Damage ◽  
House Mice ◽  
Mus Domesticus

P4334Effects of Asian dust on blood pressure and blood cell counts: a cross-sectional study of health check-up data

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
M Ishii ◽  
T Seki ◽  
K Sakamoto ◽  
K Kaikita ◽  
Y Miyamoto ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Blood Cell ◽  
Generalized Linear Models ◽  
Linear Models ◽  
Asian Dust ◽  
Short Term ◽  
Cell Counts ◽  
Blood Cell Counts ◽  
Short Term Exposure ◽  
Wbc Count

Abstract Introduction Asian dust (AD) is one of the health care problems because AD increases risk for mortality, respiratory, and cardiovascular disease. Previous animal studies showed that particulate matter from AD induced oxidative stress and systemic inflammation, increased blood pressure and heart rate, and decreased cardiac contraction. However, few reports show association of AD with increased blood pressure in human healthy subjects. Purpose The aim of this study was to investigate effects of AD on blood pressure and blood cell counts in human. Methods Using generalized linear models, we estimated the association between short-term exposure to AD and systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR) and white blood cell (WBC) count in 296,168 participants aged 20 and older (men n=168,579, 56.9%) who underwent medical check-ups and had no anti-hypertensive agents between April 2005 and March 2015 in a health check-up center in Japan. AD days were the days on which AD events occurred, which were defined as decreased visibility (<10km) due to AD monitored by local meteorological observatory. Propensity score matching analysis was performed to reduce the effects of possible confounders such as age, sex, mean temperature, humidity. In multivariable generalized linear models, data of other air pollutant such as SO2, NO2, Ox or suspended particulate matter was used as covariate. Results During study period, 61 AD days were observed, and there were 4,670 participants undergoing medical check-ups on AD days. In the propensity score matched population (n=4,670, each), short-term exposure to AD was significantly associated with an increased risk of higher SBP, DBP, HR, or WBC count [β=1.303, 95% confidence interval (CI) 0.577 to 2.029 for SBP, β=0.630, 95% CI 0.122 to 1.138 for DBP, β=0.987, 95% CI 0.410 to 1.563 for HR, β=150.0, 95% CI 64.9 to 235.1 for WBC]. These significant associations were also observed in two-pollutant models. In subgroup analysis according to age, AD exposure had greater impact on SBP, DBP, and HR in younger people (20 to 40 years old), but WBC count in middle-high age (51 years and older). GLM analysis according to age category Conclusions The present study showed that short-term exposure to AD was associated with higher SBP, DBP, HR and WBC count. Short-term exposure to AD may exacerbate sympathetic nervous system for the young and immune system for the elderly.

Spatial heterogeneity in wild populations of house mice (Mus domesticus) on the Darling Downs, South eastern Queensland

1996 ◽  
Vol 23 (1) ◽  
pp. 23 ◽  
Author(s):  
LK Chambers ◽  
GR Singleton ◽  
MV Wensveen
Keyword(s):  
Habitat Use ◽  
Spatial Heterogeneity ◽  
Agricultural Landscape ◽  
Control Strategies ◽  
Population Increase ◽  
House Mice ◽  
Mus Domesticus ◽  
Agricultural System ◽  
Habitat Types ◽  
Roadside Verges

This study examined habitat use by house mice (Mus domesticus) in an agricultural landscape during a phase of population increase. The primary aim was to determine whether spatial heterogeneity is an important consideration when examining population processes of mice. Mice within a 4-km2 trapping zone were trapped on approximately 36 transects at each of six farms on the Darling Downs, Queensland, in May and June 1992. There were 2100 trap-nights at each farm. Most mice were caught in undisturbed grass verges along fencelines. Undisturbed verges also harboured mice of above-average body condition and had the highest proportion of adult females breeding. High numbers of mice were caught also in roadside verges, long sorghum stubble and ripe summer crops. Few mice were caught in fallow paddocks, short sorghum stubble and ploughed sorghum stubble. Habitat use did not vary with sex or age-class. The distribution of mice amongst habitats varied at each farm. Thus, over the two months there were farm-level differences in how mice used the landscape in this agricultural system. These variations in habitat use by mice were significant at both a fine scale of habitat classification (seven habitat types) and a broader scale (four habitat types) more generally applicable to grain-growing regions in Australia. This study demonstrates that spatial heterogeneity needs to be considered when designing trapping protocols or control strategies for mice.

Food preferences of house mice (Mus domesticus) and their implications for control strategies

1998 ◽  
Vol 25 (6) ◽  
pp. 595 ◽  
Author(s):  
G. E. Robards ◽  
Glen Saunders
Keyword(s):  
Food Consumption ◽  
House Mouse ◽  
Fish Meal ◽  
Control Strategies ◽  
Food Preferences ◽  
House Mice ◽  
Mus Domesticus ◽  
Management Implications ◽  
Preferred Foods ◽  
Flavour Enhancers

A series of pen evaluations of food preferences of the house mouse (Mus domesticus) were conducted to determine whether the acceptability of poison baits could be enhanced with variations to grain type and the incorporation of flavour enhancers. Results showed that soft wheat, canary seed and rice were the most preferred foods, particularly when fish meal was added. Apart from some differences due to the addition of fishmeal, none of the additives, flavours or dyes had a statistically significant effect on food consumption. Management implications of the results are discussed.

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