Statistical testing of range-size change as affected by the extremes of seasonal maximum temperatures-Reference-Cited by-同舟云学术

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

Published:2023-03-16 Issue: Volume: Page:
ISSN:1749-8848
Container-title:CABI Reviews
language:en
Short-container-title:CABI Reviews

Author:

Dhanoa M.S.¹^ORCID,Sanderson R.²^ORCID,Ellis J.L.¹^ORCID,Powell C.D.¹^ORCID,López S.³^ORCID,Shepherd A.⁴^ORCID,Cardenas L.M.⁵^ORCID,France J.¹^ORCID

Affiliation:

1. Address: Centre for Nutrition Modelling, Department of Animal Biosciences, University of Guelph, Guelph ON, N1G 2W1, Canada

2. Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Gogerddan, Aberystwyth, Ceredigion, SY23 3EB, UK

3. Instituto de Ganadería de Montaña (IGM), CSIC-Universidad de León, Departamento de Producción Animal, Universidad de León, E-24007, León, Spain

4. Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK

5. Rothamsted Research, North Wyke, Okehampton, Devon, UK

Abstract

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.

Publisher

CABI Publishing

Subject

Nature and Landscape Conservation,General Agricultural and Biological Sciences,General Veterinary

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