Non-linear regression of biological temperature-dependent rate models based on absolute reaction-rate theory

Schoolfield, R. M.; Sharpe, Peter J. H.; Magnuson, C. E.

doi:10.1016/0022-5193(81)90246-0

Cited by 697 publications

(599 citation statements)

References 8 publications

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“…The parameters c, k 1 and k 2 were estimated by Marquardt's method using PROC NLIN (Sas Institute Inc. 2000). Sharpe & DeMichele (1977) biophysical model, modified by Schoolfield et al (1981): et al (1984). The numerator of the fourth equation explains the dependent developmental rates of the temperature in the absence of inactivation at low or high temperatures, while first and second exponential equations in the denominator explain respectively, the inhibition at low and high temperatures (Wagner et al 1984).…”

Section: Methodsmentioning

confidence: 99%

“…Stinner et al (1974) described the effect of temperature on developmental rate as a modified sigmoid equation which results in a symmetrical curve at high temperatures. Sharpe & DeMichele (1977) formulated a complex biophysical model, later modified by Schoolfield et al (1981), which describes a non linear response of developmental rate of insects exposed to low and high temperatures as well as a linear response at intermediate temperatures. Lactin et al (1995) modified the non linear model of Logan et al (1976) by eliminating the parameter ψ, which is the direct measurable rate of the temperature-dependent physiological process at T b , and introducing the parameter intercept λ which allowed the estimative of developmental threshold.…”

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confidence: 99%

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Estimative of Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae) development time with non linear models

Medeiros¹,

Ramalho²,

Serrão³

et al. 2004

Neotrop. Entomol.

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Estimativa do Tempo de Desenvolvimento de Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae)Através de Modelos Não Lineares RESUMO -O objetivo deste estudo foi avaliar a precisão dos modelos não lineares de Davidson (1942Davidson ( , 1944, Stinner et al. (1974), Sharpe & DeMichele (1977) PALAVRAS-CHAVE: Asopinae, controle biológico, Alabama argillacea, taxa de desenvolvimento, predador ABSTRACT -The objective of this study was to evaluate the precision of the non linear models of Davidson (1942Davidson ( , 1944, Stinner et al. (1974), DeMichele (1977), and Lactin et al. (1995)

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Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

Estimative of Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae) development time with non linear models

Medeiros¹,

Ramalho²,

Serrão³

et al. 2004

Neotrop. Entomol.

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“…Although temperature adaptation and growth adjustments may vary among microbial species, we opted for a simple representation in which all species are assumed to follow the same optimal temperature. The maximal growth rate for a cell at tempera-5410 M. Kim and D. Or: Modelling desert biological soil crusts ture T is scaled as follows (Schoolfield et al, 1981):…”

Section: Temperature-dependent Microbial Growthmentioning

confidence: 99%

Hydration status and diurnal trophic interactions shape microbial community function in desert biocrusts

Kim

2017

Biogeosciences

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Abstract. Biological soil crusts (biocrusts) are selforganised thin assemblies of microbes, lichens, and mosses that are ubiquitous in arid regions and serve as important ecological and biogeochemical hotspots. Biocrust ecological function is intricately shaped by strong gradients of water, light, oxygen, and dynamics in the abundance and spatial organisation of the microbial community within a few millimetres of the soil surface. We report a mechanistic model that links the biophysical and chemical processes that shape the functioning of biocrust representative microbial communities that interact trophically and respond dynamically to cycles of hydration, light, and temperature. The model captures key features of carbon and nitrogen cycling within biocrusts, such as microbial activity and distribution (during early stages of biocrust establishment) under diurnal cycles and the associated dynamics of biogeochemical fluxes at different hydration conditions. The study offers new insights into the highly dynamic and localised processes performed by microbial communities within thin desert biocrusts.

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“…(Campbell et al, 1974;Lactin et al, 1995;Logan et al, 1976;Schoolfield et al, 1981;Briere and Pracros, 1998;Briere et al, 1999). 현재까지 곤충발생예찰은 유효적산온도를 이용 한 방법이 폭넓게 이용되고 있으며 실제로 좋은 예측결과를 나 타내는 것으로 알려져 있다 (Eckenrode and Chapman, 1972;Ali Niazee, 1976;Butts and McEwen, 1981).…”

Section: 피해로는 어린 식물에 높은 밀도로 존재하고 물에 대한 스트레unclassified

“…현재까지 곤충발생예찰은 유효적산온도를 이용 한 방법이 폭넓게 이용되고 있으며 실제로 좋은 예측결과를 나 타내는 것으로 알려져 있다 (Eckenrode and Chapman, 1972;Ali Niazee, 1976;Butts and McEwen, 1981). 그러나 유효적산 온도 방법은 발육영점온도를 직선회귀식에 의해 추정하기 때문에 저온이나 고온부근에서 오차가 발생하는 단점이 있어 (Howe, 1967;Scopes and Biggerstaff, 1977), 이러한 문제점을 보완하는 발육속도 개념에 근거한 발육률을 적산하여 예측하 는 방법이 개발되고 있으며 (Wagner et al, 1984a, b), Schoolfield et al(1981)이 변형한 비선형 모형은 적산온도를 이용한 모형 보다 좋은 적중도를 보이는 것으로 보고되고 있다 (Han et al, 1993;Kim et al, 2001;Kim and Lee, 2003;Park et al, 2010a, b). Burnham and Anderson, 2004;Shi and Ge, 2010).…”

Section: 피해로는 어린 식물에 높은 밀도로 존재하고 물에 대한 스트레unclassified

Comparison of Development times of Myzus persicae (Hemiptera:Aphididae) between the Constant and Variable Temperatures and its Temperature-dependent Development Models

Kim¹,

Choi²,

Ko³

et al. 2012

Korean journal of applied entomology

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The developmental time of the nymphs of Myzus persicae was studied in the laboratory (six constant temperatures from 15 to 30℃ with 50~60% RH, and a photoperiod of 14L:10D) and in a green-pepper plastic house. Mortality of M. persicae in laboratory was high in the first(6.7~13.3%) and second instar nymphs(6.7%) at low temperatures and high in the third (17.8%) and fourth instar nymphs(17.8%) at high temperatures. Mortality was 66.7% at 33℃ in laboratory and 26.7℃ in plastic house. The total developmental time was the longest at 14.6℃ (14.4 days) and shortest at 26.7℃ (6.0 days) in plastic house. The lower threshold temperature of the total nymphal stage was 3.0℃ in laboratory. The thermal constant required for nymphal stage was 111.1DD. The relationship between developmental rate and temperature was fitted nonlinear model by Logan-6 which has the lowest value on Akaike information criterion (AIC) and Bayesian information criterion (BIC). The distribution of completion of each developmental stage was well described by the 3-parameter Weibull function (r 2 =0.95~0.97). This model accurately described the predicted and observed occurrences. Thus the model is considered to be good for use in predicting the optimal spray time for Myzus persicae.

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Non-linear regression of biological temperature-dependent rate models based on absolute reaction-rate theory

Cited by 697 publications

References 8 publications

Estimative of Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae) development time with non linear models

Estimative of Podisus nigrispinus (Dallas) (Heteroptera: Pentatomidae) development time with non linear models

Hydration status and diurnal trophic interactions shape microbial community function in desert biocrusts

Comparison of Development times of Myzus persicae (Hemiptera:Aphididae) between the Constant and Variable Temperatures and its Temperature-dependent Development Models

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