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

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
Universidad de León
University of Aberdeen
Rothamsted Research

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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
Teitl	Climate Change Reviews
Is-deitl	2022-2024
Golygyddion	David Hemming
Cyhoeddwr	CABI Publishing
Tudalennau	256-265
Nifer y tudalennau	10
ISBN (Electronig)	9781800629486
ISBN (Argraffiad)	9781800629479
Statws	Cyhoeddwyd - 29 Ion 2025

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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., 16 Maw 2023, Yn: CAB Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources. 2023
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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",

year = "2025",

month = jan,

day = "29",

language = "English",

isbn = "9781800629479",

pages = "256--265",

editor = "David Hemming",

booktitle = "Climate Change Reviews",

publisher = "CABI Publishing",

address = "United Kingdom of Great Britain and Northern Ireland",

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TY - CHAP

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 - 2025/1/29

Y1 - 2025/1/29

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/85219582886

M3 - Chapter

AN - SCOPUS:85219582886

SN - 9781800629479

SP - 256

EP - 265

BT - Climate Change Reviews

A2 - Hemming, David

PB - CABI Publishing

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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