Optimising sample sizes for animal distribution analysis using tracking data-Reference-Cited by-同舟云学术

Optimising sample sizes for animal distribution analysis using tracking data

Published:2020-10-28 Issue:2 Volume:12 Page:288-297
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Shimada Takahiro¹²^ORCID,Thums Michele¹^ORCID,Hamann Mark³^ORCID,Limpus Colin J.⁴,Hays Graeme C.⁵^ORCID,FitzSimmons Nancy N.⁴^ORCID,Wildermann Natalie E.⁶⁷,Duarte Carlos M.²^ORCID,Meekan Mark G.¹^ORCID

Affiliation:

1. Australian Institute of Marine Science, Indian Ocean Marine Research Centre, University of Western Australia Crawley WA Australia

2. Red Sea Research Center King Abdullah University of Science and Technology Thuwal Saudi Arabia

3. College of Science and Engineering James Cook University Townsville QLD Australia

4. Department of Environment and Science Queensland Government Brisbane QLD Australia

5. School of Life and Environmental Sciences Deakin University Geelong VIC Australia

6. Texas Sea Grant Texas A&M University College Station TX USA

7. Fisheries and Ocean Health Harte Research Institute for Gulf of Mexico Studies Corpus Christi TX USA

Funder

James Cook University

Department of Environment and Science, Queensland Government

Publisher

Wiley

Subject

Ecological Modeling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13506

Reference62 articles.

1. Dynamic Approach to Space and Habitat Use Based on Biased Random Bridges

2. Tracking apex marine predator movements in a dynamic ocean

3. Transoceanic Migration, Spatial Dynamics, and Population Linkages of White Sharks

4. Effects of sampling regime on the mean and variance of home range size estimates

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