Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

M. S. Dhanoa; R. Sanderson; J. L. Ellis; C. D. Powell; S. López; A. Shepherd; L. M. Cardenas; J. France

doi:10.1079/cabireviews.2023.0009

Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

M. S. Dhanoa
, R. Sanderson
, J. L. Ellis
, C. D. Powell
, S. López
, A. Shepherd
, L. M. Cardenas
, J. France^*

^*Awdur cyfatebol y gwaith hwn

Athrofa'r Gwyddorau Biolegol, Amgylcheddol a Gwledig

University of Guelph
Centre for Modelling & Simulation
Universidad de León
University of Aberdeen
Rothamsted Research

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl Adolygu › adolygiad gan gymheiriaid

1 Dyfyniad (Scopus)

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Any geo-position on Earth will have its own seasonal pattern of maximum day temperatures. Climate change driven extreme temperature episodes may disturb such patterns and create temperature range changes. The significance of such changes can be tested statistically by maximum temperature range data analysis using the distribution of the ratio of range to standard deviation. Structural pattern trends, percentiles and kurtosis summaries bring out more details of seasonal temperatures.

Iaith wreiddiol	Saesneg
Cyfnodolyn	CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources
Cyfrol	2023
Dynodwyr Gwrthrych Digidol (DOIs)	https://doi.org/10.1079/cabireviews.2023.0009
Statws	Cyhoeddwyd - 16 Maw 2023

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10.1079/cabireviews.2023.0009

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Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures
Dhanoa, M. S., Sanderson, R., Ellis, J. L., Powell, C. D., López, S., Shepherd, A., Cardenas, L. M. & France, J., 29 Ion 2025, Climate Change Reviews: 2022-2024. Hemming, D. (gol.). CABI Publishing, t. 256-265 10 t.
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Dyfynnu hyn

Dhanoa, M. S., Sanderson, R., Ellis, J. L., Powell, C. D., López, S., Shepherd, A., Cardenas, L. M., & France, J. (2023). Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures. CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources, 2023. https://doi.org/10.1079/cabireviews.2023.0009

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title = "Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures",

abstract = "Any geo-position on Earth will have its own seasonal pattern of maximum day temperatures. Climate change driven extreme temperature episodes may disturb such patterns and create temperature range changes. The significance of such changes can be tested statistically by maximum temperature range data analysis using the distribution of the ratio of range to standard deviation. Structural pattern trends, percentiles and kurtosis summaries bring out more details of seasonal temperatures.",

keywords = "extreme value distribution, kurtosis, maximum temperature, range to standard deviation ratio distribution, split-line model, structural patterns",

author = "Dhanoa, \{M. S.\} and R. Sanderson and Ellis, \{J. L.\} and Powell, \{C. D.\} and S. L{\'o}pez and A. Shepherd and Cardenas, \{L. M.\} and J. France",

note = "Publisher Copyright: {\textcopyright} CAB International 2023.",

year = "2023",

month = mar,

day = "16",

doi = "10.1079/cabireviews.2023.0009",

language = "English",

volume = "2023",

journal = "CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources",

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T1 - Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

AU - Dhanoa, M. S.

AU - Sanderson, R.

AU - Ellis, J. L.

AU - Powell, C. D.

AU - López, S.

AU - Shepherd, A.

AU - Cardenas, L. M.

AU - France, J.

PY - 2023/3/16

Y1 - 2023/3/16

N2 - Any geo-position on Earth will have its own seasonal pattern of maximum day temperatures. Climate change driven extreme temperature episodes may disturb such patterns and create temperature range changes. The significance of such changes can be tested statistically by maximum temperature range data analysis using the distribution of the ratio of range to standard deviation. Structural pattern trends, percentiles and kurtosis summaries bring out more details of seasonal temperatures.

AB - Any geo-position on Earth will have its own seasonal pattern of maximum day temperatures. Climate change driven extreme temperature episodes may disturb such patterns and create temperature range changes. The significance of such changes can be tested statistically by maximum temperature range data analysis using the distribution of the ratio of range to standard deviation. Structural pattern trends, percentiles and kurtosis summaries bring out more details of seasonal temperatures.

KW - extreme value distribution

KW - kurtosis

KW - maximum temperature

KW - range to standard deviation ratio distribution

KW - split-line model

KW - structural patterns

UR - https://www.scopus.com/pages/publications/85151727969

U2 - 10.1079/cabireviews.2023.0009

DO - 10.1079/cabireviews.2023.0009

M3 - Review Article

AN - SCOPUS:85151727969

SN - 1749-8848

VL - 2023

JO - CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources

JF - CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources

ER -

Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

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Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures

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