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University of Texas at El Paso (2020)

Partitioning Variation In Vegetation And Landscape Functionality In Arid Land Piosphere

Shahriary Eahsan

Titre : Partitioning Variation In Vegetation And Landscape Functionality In Arid Land Piosphere

Auteur : Shahriary Eahsan

Université de soutenance : University of Texas at El Paso

Grade : Doctor of Philosophy (PhD) 2020

Résumé partiel
A piosphere is an interaction between vegetation community, watering point, and grazing livestock/wildlife. In this Dissertation, I begin by reviewing the concept of the piosphere, and the progress, knowledge gaps and common statistical approaches and errors in piosphere research. Landscape functionality, plant community distribution and their influencing factors on a piosphere in Iran are then investigated.

A total 862 piosphere publications of multiple types from 68 countries and 10 different languages during the period of 1915 â ?? 2018 were reviewed. Australia was the most productive country followed by South Africa, the USA, Botswana and Argentina. Ivan Thrash is the most contributed author with 11 publications. The most frequently cited article is "Responses of Mediterranean grassland plants to grazing and protection" by Noy-Meir et al. (1989) in The Journal of Ecology. Rapid growth was found in piosphere research since 2000. Vegetation, soil, wildlife, and livestock were the most frequent research topics of piosphere investigations. Advances in statistics, remote sensing, GIS and programming enlivened piosphere research, especially since the 1990s. One-way ANOVA, multiple linear regression, Pearson correlation, permutational multivariate analysis of variance, canonical correspondence analysis, mean and Tukey’s honest significance test were the most frequent statistical methods used in piosphere investigations. Seventy-one common statistical errors in piosphere publications were found. The most common were not choosing proper statistical techniques, not checking the assumptions and diagnostics of statistical techniques, partial and wrong interpretation of results and not using informative figures and tables.

Présentation

Page publiée le 26 mai 2021