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Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling

By Blaine Marchant

Stanford University

Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.

Listed in Teaching Materials | resource by group iDigBio

Version 1.0 - published on 23 Apr 2020 doi:10.25334/50DG-QX17 - cite this

Licensed under CC Attribution-NonCommercial-ShareAlike 4.0 International according to these terms

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Description

Emerging cyberinfrastructure and new data sources provide unparalleled opportunities for mobilizing and integrating massive amounts of information from organismal biology, ecology, genetics, climatology, and other disciplines.  Key among these data sources is the rapidly growing volume of digitized specimen records from natural history collections. With over 100 million specimen records available online in iDigBio alone — an ever-increasing number — these data provide excellent information on species distributions, changes in distributions over time, phenology, and more.  As such, they provide a fantastic resource for ecological niche modeling. However, navigating the many available methods can be bewildering.

In this webinar, we will provide step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.  The webinar is designed to introduce the concepts and practice of ecological niche modeling, so little experience is needed.

Resources needed: Excel (or similar), QGIS, ENMTools, Maxent

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