Tags: species distributions

Teaching Materials (1-12 of 12)

  1. Observing the Birds of El Paso: Revisiting historical localities online and in the field

    24 Feb 2024 | Teaching Materials | Contributor(s):

    By Julie Marie Schlichte1, Vicky Zhuang, Phillip Lavretsky2

    1. The University of Texas at El Paso 2. University of Texas at El Paso

    In this set of activities, students are introduced to several features and use cases of museum databases to understand the importance of historical natural history specimens and their data. Using...

    https://qubeshub.org/publications/4657/?v=1

  2. Introduction to Assessing Biodiversity: Bivalves of the Rio Grande Area

    24 Feb 2024 | Teaching Materials | Contributor(s):

    By Julie Marie Schlichte1, Elizabeth Walsh2, Vicky Zhuang

    1. The University of Texas at El Paso 2. University of Texas at El Paso

    Learning to identify taxa is a key skill gained in many systematics classes. This module aims to introduce students to concepts and resources for identifying organisms and assessing species...

    https://qubeshub.org/publications/4656/?v=1

  3. A CURE in traits and species distributions: Reproductive modes, range sizes, and natural history collections

    13 Nov 2023 | Teaching Materials | Contributor(s):

    By Jessica Allen1, Stephen Sharrett1, Eli Denzer2, James Lendemer3

    1. Eastern Washington University 2. New York Botanical Garden 3. New York State Museum

    This course-based undergraduate research experience (CURE) focuses on developing hypotheses about how traits influence the range sizes of species. Topics with substantive content include symbioses,...

    https://qubeshub.org/publications/4564/?v=1

  4. Mapping Specimen Occurrence Data in QGIS

    28 Jul 2023 | Teaching Materials | Contributor(s):

    By Cecily Bronson

    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS

    https://qubeshub.org/publications/2351/?v=2

  5. Sounds of the Tropics: Part 2. How are frogs responding to hurricanes, droughts, and climate change?

    24 Jul 2023 | Teaching Materials | Contributor(s):

    By Marconi Campos-Cerqueira1, Mitchell Aide2

    1. Rainforest Connection 2. University of Puerto Rico - Rio Piedras

    This online module explores the response of a tropical frog community to hurricanes, drought, and climate change. We use acoustic monitoring and occupancy modeling to understand how frog...

    https://qubeshub.org/publications/4476/?v=1

  6. Snapshot Serengeti Online Lab

    23 Jul 2023 | Teaching Materials | Contributor(s):

    By Charles Willis1, Jeffrey A Klemens2, Rahul Agrawal3, Sadie Hebert1, Meredith Palmer4, Annika Moe1, Deena Wassenberg1, Katherine Barry1, Craig Packer1

    1. University of Minnesota 2. Thomas Jefferson University 3. University of Michigan 4. Princeton University

    Snapshot Serengeti is a fully online inquiry-based lab that uses real camera-trap data from Serengeti National Park in Tanzania to explore themes of tropical ecology and animal behavior.

    https://qubeshub.org/publications/3488/?v=2

  7. Snapshot Serengeti Online Lab

    01 Jun 2023 | Teaching Materials | Contributor(s):

    By Charles Willis1, Jeffrey A Klemens2, Rahul Agrawal3, Sadie Hebert1, Meredith Palmer4, Annika Moe1, Deena Wassenberg1, Katherine Barry1, Craig Packer1

    1. University of Minnesota 2. Thomas Jefferson University 3. University of Michigan 4. Princeton University

    Snapshot Serengeti is a fully online inquiry-based lab that uses real camera-trap data from Serengeti National Park in Tanzania to explore themes of tropical ecology and animal behavior.

    https://qubeshub.org/publications/3488/?v=1

  8. Distributions CURE- Exploring Species Distribution Changes and their Drivers

    24 Aug 2022 | Teaching Materials | Contributor(s):

    By Tiffany Marie Doan1, Tanya Dewey2, John Carroll3, Liz Alter4

    1. New College of Florida 2. Colorado State University and the Animal Diversity Web (animaldiversity.org) 3. Georgia Southern University 4. CSUMB

    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...

    https://qubeshub.org/publications/2349/?v=1

  9. Spatial Analysis with QGIS

    13 Oct 2021 | Teaching Materials | Contributor(s):

    By Ryan Kerney1, Timothy Whitfeld2

    1. Gettysburg College 2. Bell Museum, University of Minnesota

    Map specimen data points using QGIS, connect them to form a polygon using the Concave Hull plugin, and calculate the range of a species to examine how it changes over time.

    https://qubeshub.org/publications/2761/?v=1

  10. Mapping Specimen Occurrence Data in QGIS

    24 Sep 2021 | Teaching Materials | Contributor(s):

    By Cecily Bronson

    Use digitized natural history collection occurrence data from the Global Biodiversity Information Facility (GBIF) to map the distribution of the beaver in the state of Oregon from 1800-2020 using QGIS

    https://qubeshub.org/publications/2351/?v=1

  11. Exploring how climate will impact plant-insect distributions and interactions using open data and informatics

    06 Jun 2019 | Teaching Materials | Contributor(s):

    By Wendy Clement1, Kathleen Prudic2, Jeffrey Oliver3

    1. The College of New Jersey 2. University of Arizona 3. University of Arizona Libraries

    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...

    https://qubeshub.org/publications/1286/?v=1

  12. Painting turtles: an introduction to species distribution modeling in R

    12 Jun 2018 | Teaching Materials | Contributor(s):

    By Anna Carter

    Iowa State University

    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

    https://qubeshub.org/publications/378/?v=1