Mathematical formulae for calculating the base temperature for growing degree days

Yang, Senshan; Logan, Joanne; Coffey, D. L.

doi:10.1016/0168-1923(94)02185-m

Cited by 152 publications

(170 citation statements)

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“…agropec. bras., Brasília, v.52, n.5, p.283-292, maio 2017 DOI: 10.1590/S0100-204X2017000500001 development (Yang et al, 1995;Lago et al, 2009) and the studied metabolic process (Soltani & Sinclair, 2012). In the present study, the values of Tb estimated for Corymbia citriodora (8.7ºC) were close to the values reported for leaf development of other perennial crops, such as: E. saligna, 8.0°C ; Acer pensylvanicum, Acer rubrum, and Betula popifolia, 7.5°C (Chiang & Brown, 2007); and the olive cultivar Olea europaea 'Grappolo', 9.6ºC (Souza & Martins, 2014).…”

Section: Resultsmentioning

confidence: 99%

“…For the Tb estimation, there is a variety of methods, among which the most used ones are: standard deviation in days and degreedays, the coefficient of variation in days and degreedays, regression coefficient, X-intercept, and the smallest value for the mean square error (Yang et al, 1995;Sinclair et al, 2004). In order to estimate the optimum temperature, plants should be subjected to the best developmental conditions, which is usually done under controlled experimental conditions (Soltani & Sinclair, 2012) using of growth rooms, which are expensive.…”

Section: Introductionmentioning

confidence: 99%

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Cardinal temperatures for the leaf development of Corymbia citriodora and Eucalyptus urophylla seedlings

Freitas

Martins

Abreu

2017

Pesq. agropec. bras.

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-The objective of this work was to estimate cardinal temperatures and phyllochron for the leaf development of the eucalyptus species Corymbia citriodora and Eucalyptus urophylla, in the seedling phase. A field experiment was carried out in a completely randomized design, in a 2x11 factorial arrangement, with the two eucalyptus species, 11 sowing dates, and five replicates, in the municipality of Itajubá, in the state of Minas Gerais, Brazil. The cardinal temperatures -base, optimum, and maximum -for leaf development were, respectively, 8.7, 17.1, and 41.3°C, for C. citriodora, and 11.5, 17.1, and 40.5°C for E. urophylla. The phyllochron of C. citriodora was 62.95°C day per leaf, and that of E. urophylla was 46.03°C day per leaf, which indicates that E. urophylla requires less energy accumulation than C. citriodora for leaf emission in the main stem.Index terms: air temperature, leaf emission rate, phyllochron, seedling quality, thermal requirement. Temperaturas cardinais para o desenvolvimento foliar de mudas de Corymbia citriodora e Eucalyptus urophyllaResumo -O objetivo deste trabalho foi estimar as temperaturas cardinais e o filocrono para o desenvolvimento foliar das espécies de eucalipto Corymbia citriodora e Eucalyptus urophylla, durante a fase de muda. Um experimento de campo foi realizado em delineamento inteiramente casualizado, em arranjo fatorial 2x11, com as duas espécies de eucalipto, 11 épocas de semeadura e cinco repetições, em Itajubá, MG. As temperaturas cardinais -basal inferior, ótima e basal superior -para o desenvolvimento foliar foram, respectivamente, 8,7, 17,1 e 41,3°C, para C. citriodora, e 11,5, 17,1 e 40,5°C, para E. urophylla. O filocrono de C. citriodora foi de 62,95°C dia por folha, e o de E. urophylla, de 46,03°C dia por folha, o que é indício de que E. urophylla necessita de menor acúmulo energético do que C. citriodora para a emissão de folhas na haste principal.Termos para indexação: temperatura do ar, taxa de emissão foliar, filocrono, qualidade de mudas, necessidade térmica.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cardinal temperatures for the leaf development of Corymbia citriodora and Eucalyptus urophylla seedlings

Freitas

Martins

Abreu

2017

Pesq. agropec. bras.

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“…Low Cyclic Fraction values are observed over areas either without seasonal snow cover or with very low Standing Biomass (arid areas) or over evergreen vegetation cover lacking yearly greening up dynamics. The Season Length presented in this study and Length of Growing Period (LGP) presented in other studies [50,51] are of different nature. The Season Length variable reflects a full growth cycle of all observed standing vegetation whereas LGP data models refer to the number of days when temperature and moisture conditions are considered adequate for crop growth.…”

Section: Statistical Screening Of the Phenological And Productivity Pmentioning

confidence: 99%

Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data

et al. 2013

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Abstract:The present study classified global Ecosystem Functional Types (EFTs) derived from seasonal vegetation dynamics of the GIMMS3g NDVI time-series. Rotated Principal Component Analysis (PCA) was run on the derived phenological and productivity variables, which selected the Standing Biomass (approximation of Net Primary Productivity), the Cyclic Fraction (seasonal vegetation productivity), the Permanent Fraction (permanent surface vegetation), the Maximum Day (day of maximum vegetation development) and the Season Length (length of vegetation growing season) variables, describing 98% of the variation in global ecosystems. EFTs were created based on Isodata classification of the spatial patterns of the Principal Components and were interpreted via gradient analysis using the selected remote sensing variables and climatic constraints (radiation, temperature, and water) of vegetation growth. The association of the EFTs with existing climate and land cover classifications was demonstrated via Detrended Correspondence Analysis (DCA). The ordination indicated good description of the global environmental gradient by the EFTs, supporting the understanding of phenological and productivity dynamics of global ecosystems. Climatic constraints of vegetation growth explained 50% of variation in the phenological data along the EFTs showing that part of the variation in the global phenological gradient is not climate related but is unique to the Earth Observation derived variables. DCA demonstrated good correspondence of the EFTs to global climate and also to land use classification. The results show the great potential of Earth Observation derived OPEN ACCESS Remote Sens. 2013, 5 3306 parameters for the quantification of ecosystem functional dynamics and for providing reference status information for future assessments of ecosystem changes.

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“…Many approaches and techniques to calculating HDDs can be found in the literature (e.g. Baskerville and Emin, 1969;Floyd and Braddock, 1984;Yang et al, 1995;McMaster and Wilhelm, 1997;Martinaitis, 1998). Simpler approaches use the mean daily air temperature compared with the basic temperature.…”

Section: Methodsmentioning

confidence: 99%

“…The term degree-days in its different expressions, i.e. heating degree-day (HDD) or growing degree-day, can be used for many investigations and assessments in applied climatology (Hargy, 1982;Yang et al, 1995;McMaster and Wilhelm, 1997;Roltsch et al, 1999;Cesaraccio et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Heating degree‐days over Greece as an index of energy consumption

Matzarakis

Balafoutis

2004

Intl Journal of Climatology

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The geographical distribution of heating degree-days (HDDs) in Greece is studied by means of special maps. HDDs are calculated by using daily thermal parameters (daily maximum and minimum air temperature) and then compared with an experimentally determined basic air temperature equal to 14°C, according to our estimations. These calculations are based on daily weather data of 40 meteorological stations of the Hellenic National Weather Service published in the Monthly Climatic Bulletin.The regionalization of the 40-point stations' data was achieved using the multiple regression analysis technique and a digital terrain model. For the statistical analysis, the calculated HDDs provide the dependent variables, and geographical data of latitude and longitude, elevation, nearest grid distance from the sea and the land/sea ratio were the independent variables. The resultant statistical correlation was very high.The final outcome of this study was the drawing up of 10 HDD maps, eight for the eight coldest months (October to May) in Greece, one for the entire cold period and one for the number of days demanding heating. The geographical distribution of HDDs is consistent with the great variety of Greek climates arising from the influence of the country's variable relief.The distribution of the HDDs presented in the maps shows that the calculated values were close to the measured ones, which confirms the accuracy of the statistical model used. Possible small deviations were deemed to be acceptable, as the net of the stations used is sparse and it is limited to the elevations below 700 m above sea level. The high accuracy of the HDD maps will be useful for various energy projects and other environmental applications.

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Mathematical formulae for calculating the base temperature for growing degree days

Cited by 152 publications

References 7 publications

Cardinal temperatures for the leaf development of Corymbia citriodora and Eucalyptus urophylla seedlings

Cardinal temperatures for the leaf development of Corymbia citriodora and Eucalyptus urophylla seedlings

Global Biogeographical Pattern of Ecosystem Functional Types Derived From Earth Observation Data

Heating degree‐days over Greece as an index of energy consumption

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