Niche modeling, habitat suitability, and range dynamics of the rare myxomycete species of Physarum auripigmentum under a changing climate

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Abstract

Species distribution is undergoing rapid changes in the face of habitat modification and climate change. This raises ecological questions about the processes that governs species ranges and niches. Maximum entropy spatial distribution modelling (MaxEnt) solves this problem by inferring species distributions and environmental tolerance based on the occurrence data. The objective of this study was to create a model of the ecological niche and potential geographic distribution of the rare myxomycete species of Physarum auripigmentum to understand its ecological specificity and distribution patterns. The studied species is an epiphyte and xylobiont, colonizing the bark folds of living woody plants and dead wood. In mountainous regions, the species preferentially prefers tree bark and colonizes microhabitats as an epiphyte. Most areas globally are bioclimatically unsuitable for Physarum auripigmentum, falling below both the 10% and 50% thresholds for species presence. Modeling the potential geographic distribution and niche suggests that the distribution of Physarum auripigmentum is largely dependent on the availability of suitable substrate and microhabitats and that it is undemanding regarding the bioclimatic characteristics of the areas where its macrohabitats are present.

About the authors

Vyacheslav Alexandrovich Vlasenko

Central Siberian Botanical Garden of Siberian Branch of the Russian Academy of Sciences

Author for correspondence.
Email: vlasenkomyces@mail.ru

candidate of biological sciences, senior researcher of Mycology, Algology and Lichenology Laboratory

Russian Federation, Novosibirsk

Pu Liu

Jilin Agricultural University

Email: pul@jlau.edu.cn

PhD, professor of Engineering Research Center of Edible and Medicinal Fungi

China, Changchun

Anastasia Vladimirovna Vlasenko

Central Siberian Botanical Garden of Siberian Branch of the Russian Academy of Sciences

Email: anastasiamix81@mail.ru

candidate of biological sciences, senior researcher of Mycology, Algology and Lichenology Laboratory

Russian Federation, Novosibirsk

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