The gypsy moth life stage model: landscape-wide estimates of gypsy moth establishment using a multi-generational phenology model

2004 ◽  
Vol 176 (1-2) ◽  
pp. 155-171 ◽  
Author(s):  
David R Gray
Keyword(s):  
Gypsy Moth ◽  
Life Stage ◽  
Stage Model ◽  
Phenology Model

scholarly journals Capital structure and the firm’s life stage

2005 ◽  
Vol 36 (4) ◽  
pp. 9-18 ◽  
Author(s):  
A. Frielinghaus ◽  
B. Mostert ◽  
C. Firer
Keyword(s):  
Pilot Study ◽  
Capital Structure ◽  
Life Stage ◽  
Order Theory ◽  
Life Stages ◽  
Stage Model ◽  
Pecking Order ◽  
Pecking Order Theory ◽  
The Relationship ◽  
Over Time

In this paper we argue the case for a relationship between capital structure and a firm’s life stage. We provide an overview of the two sets of theories and follow this with a proposed linkage between the life stage and capital structure. We use the Adizes life stage model to assess the life stage of the firms in our sample. Our pilot study found a statistically significant relationship between life stage and the capital structure of respondents. The nature of the relationship (more debt in the early and late life stages than in prime) supports the pecking order theory of capital structure and suggests a practical use of the life stage model in helping firms to understand how their financing is likely to change over time.

Modelling the retention and survival of Browns Bank haddock larvae using an early life stage model

2001 ◽  
Vol 10 (3) ◽  
pp. 284-296 ◽  
Author(s):  
D. Brickman ◽  
N. L. Shackell ◽  
K. T. Frank
Keyword(s):  
Early Life ◽  
Life Stage ◽  
Early Life Stage ◽  
Stage Model

scholarly journals Predicting the seasonal phenology of fall webworm (Hyphantria cunea) in New Zealand

2007 ◽  
Vol 60 ◽  
pp. 279-285 ◽  
Author(s):  
J.M. Kean ◽  
L.B. Kumarasinghe
Keyword(s):  
New Zealand ◽  
Life Stage ◽  
Stage Model ◽  
Hyphantria Cunea ◽  
Local Conditions ◽  
The North ◽  
Model Predictions ◽  
The Usa ◽  
Fall Webworm ◽  
And Control

A cohortbased model for the seasonal phenology of the blackheaded strain of the fall webworm Hyphantria cunea (Lepidoptera Arctiidae) was constructed from published development rates for each life stage Model predictions were successfully verified against field observations from Japan China Italy Serbia and the USA The model was then used to predict phenology in New Zealand and the potential for establishment near major ports Populations are predicted to be bivoltine in the north and univoltine in central areas but are unlikely to form selfsustaining populations south of Timaru Fall webworm demonstrated the ability to adapt to specific local conditions after its invasion of Japan so the risk may be greater than these results suggest Successful validation of the model means that it could be used to inform surveillance and control operations targeting fall webworm outbreaks overseas and potential invasions into new ranges such as New Zealand

Physical health and well-being: A life stage model

2010 ◽  
Author(s):  
Alexander Kelly ◽  
Sheila Panchal ◽  
Stephen Palmer
Keyword(s):  
Physical Health ◽  
Life Stage ◽  
Well Being ◽  
Stage Model ◽  
Health And Well Being

A Phenology Model for Asian Gypsy Moth Egg Hatch

2019 ◽  
Vol 48 (4) ◽  
pp. 903-910 ◽  
Author(s):  
David R Gray ◽  
Melody A Keena
Keyword(s):  
Gypsy Moth ◽  
North American ◽  
Range Expansion ◽  
Model Parameters ◽  
Egg Hatch ◽  
Moth Population ◽  
Invasive Range ◽  
Management Interventions ◽  
Asian Gypsy Moth ◽  
Phenology Model

Abstract Phenology models are useful tools in pest management interventions, biosecurity operations targeting alien invaders, and answering questions regarding the potential for range expansion/shift. The Gypsy Moth Life Stage model (GLS) has been used to predict the invasive range of the North American gypsy moth (Lymantria dispar dispar Linnaeus [Lepidoptera: Erebidae]) in North America and New Zealand. It has been used to examine the role of supra-optimal temperatures in range expansion/stasis/retraction. However, GLS has also been used where the target organism is the Asian subspecies L. d. asiatica Vnukovskij, despite observed differences between the predominant phenotypes of the two subspecies in the temperature requirements for egg hatch and the absence of egg phenology model parameters specific to the Asian phenotype. Here we describe the results of temperature and exposure duration on the timing of Asian gypsy moth egg hatch, and we present phenology model parameters for the Asian phenotype. Sum of squared differences (observed minus predicted day of median egg hatch) was reduced from 7,818 d2 (North American parameters) to 178 d2. Days of simulated median egg hatch differed from the observed days by 0–7 d (x¯=0.2; SD=3.1). The pattern of simulated egg hatch closely mimicked the irregular pattern of observed egg hatch from the temperature regimes of our experiment. Egg hatch is arguably the most important life cycle event in gypsy moth population suppression/eradication interventions and in estimating their potential invasive range. The model parameters described here produce accurate predictions of Asian gypsy moth egg hatch.

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