Abstract

The understanding of the biodiversity and biogeographical distribution of fungi is still limited. The small number of online databases and the large effort required to access existing data have prevented their use in research articles. The Mycology Collections Portal was established in 2012 to help alleviate these issues and currently serves data online for over 4.3 million fungal records. However, the current process for accessing the data through the web interface is manual, therefore slow, and precludes the extensive use of the existing datasets. Here we introduce the software package rMyCoPortal, which allows users rapid, automated access to the data. rMyCoPortal makes data readily available for further computations and analyses in the open source statistical programming environment R. We will demonstrate the core functions of the package, and how rMyCoPortal can be employed to obtain fungal data that can be used to address basic research questions. rMyCoPortal is a free and open-source R package, available via GitHub.

Highlights

  • Global climate and land-use change are major threats to life on earth, and studies continue to document how animal and plant distributions and phenology have changed due to these factors (Parmesan 2006)

  • Many studies exist that report range and phenological shifts in plant and animals, less is known about inter- and intra-annual shifts of fungal fruiting and occurrence

  • Such phenological shifts have been mainly studied in Europe and emerging species distribution models (SDMs) based on future climate projections have yet to be studied

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Summary

Introduction

Global climate and land-use change are major threats to life on earth, and studies continue to document how animal and plant distributions and phenology have changed due to these factors (Parmesan 2006). Several studies at different spatial scales found shifts of the average fruiting date later in the year and the fruiting season has expanded in both directions (Kauserud et al 2012, Kauserud et al 2008, Büntgen et al 2012, Büntgen et al 2013, Büntgen et al 2015, Boddy et al 2014, Andrew et al 2018) Such phenological shifts have been mainly studied in Europe and emerging species distribution models (SDMs) based on future climate projections have yet to be studied. The data needs to be further processed before basic exploration can be undertaken An account is required if the user would like to actively contribute to functions of rMyCoPortal or launch an issue

Core package function
Querying the database
Species distribution modelling
Findings
Data limitations
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