MaxEnt algorithm applying to moss species distribution analysis

УДК 582.34:581.52+581.9

Authors

  • O. Yu. Pisarenko Central Siberian Botanical Garden SB RAS

DOI:

https://doi.org/10.14258/pbssm.2020105

Keywords:

Bioclimatic modeling, ecology, mosses, lant geography

Abstract

Bioclimatic modeling method MaxEnt is tested on objects occupying micro-habitats on the example ofmosses. Data organizing options and the results are discussed.

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References

Писаренко О. Ю., Макунина Н. И. Rhytidium rugosum (Hedw.) Kindb. на юге Сибири: трактовка Maxent // Современная наука о растительности: Тезисы докладов Всеросс. конф., посвящ. 90-летию кафедры геоботаники биол. ф-та МГУ (10–13 октября 2019, г. Москва – Звенигородская биостанция МГУ). – М., 2019. – C. 102–103.

GBIF Occurrence Download Jaffueliobryum latifolium. DOI: 10.15468/dl.l9tnmx (Accessed 26.03.2019).

GBIF Occurrence Download Tortula atrovirens. DOI: 10.15468/dl.4irios (Accessed 26.03.2019).

GBIF Occurrence Download Myuroclada maximowiczii. DOI: 10.15468/dl.m3iddc (Accessed 06.02.2019).

GBIF Occurrence Download Indusiella thianschanica. DOI: 10.15468/dl.qyszab (Accessed 28.01.2019).

Global climate and weather data. URL: http://www.worldclim.org (Accessed 28.01.2019).

Phillips S. J. A Brief Tutorial on Maxent, 2017. URL: http://biodiversityinformatics.amnh.org/open_source/maxent/

Phillips S. J., Dudik M. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation // Ecography, 2008. – Vol. 31. – Pp. 161–175.

Sandanov D. V., Pisarenko O. Yu. Bioclimatic modeling of Crossidium squamiferum (Viv.) Jur. (Pottiaceae, Bryophyta) distribution // Arctoa, 2018. – Vol. 27. – Pp. 29–34.

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Published

2020-10-08

How to Cite

MaxEnt algorithm applying to moss species distribution analysis: УДК 582.34:581.52+581.9. (2020). Проблемы ботаники Южной Сибири и Монголии, 19(2), 211-214. https://doi.org/10.14258/pbssm.2020105