JOURNAL ARTICLE

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

Carlos A. Morales‐RamirezPearlyn Y. Pang

Year: 2018 Journal:   The American Biology Teacher Vol: 80 (6)Pages: 457-461   Publisher: University of California Press

Abstract

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

Keywords:
Open source Citizen science Species distribution Popularity Computer science Correlative Data science Open source software Software Distribution (mathematics) Habitat Ecology Biology Mathematics

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1
Cited By
0.13
FWCI (Field Weighted Citation Impact)
21
Refs
0.67
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Species Distribution and Climate Change
Physical Sciences →  Environmental Science →  Ecological Modeling
Genetic diversity and population structure
Life Sciences →  Biochemistry, Genetics and Molecular Biology →  Genetics
Coral and Marine Ecosystems Studies
Physical Sciences →  Environmental Science →  Ecology
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