Advances in Terrestrial Mammal Movement Ecology: An Overview

Authors

  • Wang Jingxuan Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Areas, Northeast Forestry University, Harbin 150040, China
  • Guangshun Jiang Feline Research Center of National Forestry and Grassland Administration, College of Wildlife and Protected Areas, Northeast Forestry University, Harbin 150040, China

DOI:

https://doi.org/10.30564/jzr.v1i2.1717

Abstract

As a research field which is blooming quickly in recent years, movement ecology has been a worldwide concern and interest. However, movement ecology is so comprehensive and complicated that many articles only focus on few aspects or species. As tracking technologies and methods of movement data analysis develop, the abundance of movement data becomes available for demonstrating more scientific facts about animal movement. This article is aimed to summarize the advances of terrestrial mammal movement ecology in the past years to show its critical and potential research fields, as well as trying to ascertain direction of these advances.

Keywords:

Habitat selection; Home range; Landscape; Migration; Population ecology

References

[1] Schick R S , Loarie S R , Colchero F , et al. Understanding movement data and movement processes: current and emerging directions[J]. Ecology letters, 2008, 11(12):1338-1350.

[2] Holyoak M , Casagrandi R , Nathan R , et al. Trends and missing parts in the study of movement ecology[J]. Proceedings of the National Academy of Sciences, 2008, 105(49):19060-19065.

[3] Nathan R . From the Cover: Movement Ecology Special Feature: An emerging movement ecology paradigm[J]. Proceedings of the National Academy of Sciences of the United States of America, 2008, 105(49):19050.

[4] Newmark W D , Rickart E A . High-use movement pathways and habitat selection by ungulates[J]. Mammalian Biology, 2012, 77(4):293---298.

[5] Zhang M , Zhang Z , Li Z , et al. Giant panda foraging and movement patterns in response to bamboo shoot growth[J]. Environmental Science and Pollution Research, 2018, 25(9):8636-8643.

[6] Xiaojun Y . Observation on the Movement Behavioral Development of Baby Golden Monkeys ( Rhinopithecus roxellanae )[J]. JOURNAL OF GANSU AGRICUTURAL UNIVERSITY, 1997.

[7] Johnson C J , Parker K L , Heard D C , et al. Movement parameters of ungulates and scale-specific responses to the environment[J]. Journal of Animal Ecology, 2002, 71(2):225-235.

[8] Pereboom V , Mergey M , Villerette N , et al. Movement patterns, habitat selection, and corridor use of a typical woodland-dweller species, the European pine marten (Martes martes), in fragmented landscape[J]. Canadian Journal of Zoology, 2008, 86(9):983-991.

[9] Cushman S A , Lewis J S . Movement behavior explains genetic differentiation in American black bears[J]. Landscape Ecology, 2010, 25(10):1613-1625.

[10] Miller C S , Mark H , Petrunenko Y K , et al. Estimating Amur tiger (Panthera tigris altaica) kill rates and potential consumption rates using global positioning system collars[J]. Journal of Mammalogy(4):4.

[11] Cagnacci F , Boitani L , Powell R A , et al. Challenges and opportunities of using GPS-based location data in animal ecology[J]. Philosophical Transactions of The Royal Society B Biological Sciences, 2010, 365(1550):2155.

[12] The environmental-data automated track annotation (Env-DATA) system: linking animal tracks with environmental data[J]. Movement Ecology, 2013, 1(1):3.

[13] Carbone C , Cowlishaw G , Isaac N et al. How Far Do Animals Go? Determinants of Day Range in Mammals.[J]. The American Naturalist, 2005, 165(2):290-297.

[14] Zulima, Tablado, Eloy, et al. From steps to home range formation: species-specific movement upscaling among sympatric ungulates[J]. Functional Ecology, 2016.

[15] John, G, Kie, et al. The home-range concept: are traditional estimators still relevant with modern telemetry technology [J]. Philosophical Transactions: Biological Sciences, 2010.

[16] Viana D S , Granados, José Enrique, Fandos P , et al. Linking seasonal home range size with habitat selection and movement in a mountain ungulate[J]. Movement Ecology, 2018, 6(1):1.

[17] Phillips D M , Harrison D J , Payer D C . Seasonal Changes in Home-Range Area and Fidelity of Martens[J]. Journal of Mammalogy(1):1.

[18] Worton B J.Kernel Methods for Estimating the Utilization Distribution in Home-Range Studies[J]. Ecology, 1989, 70(1):164-168.

[19] Kranstauber B , Kays R , Lapoint S D , et al. A dynamic Brownian bridge movement model to estimate utilization distributions for heterogeneous animal movement[J]. Journal of Animal Ecology, 2012, 81(4):0-0.

[20] Patterson T A , Thomas L , Wilcox C , et al. State–space models of individual animal movement[J]. Trends in Ecology & Evolution, 2008, 23(2):0-94.

[21] Patterson T A , Thomas L , Wilcox C , et al. State–space models of individual animal movement[J]. Trends in Ecology & Evolution, 2008, 23(2):0-94.

[22] [22] State–space models link elk movement patterns to landscape characteristics in yellowstone national park [J]. Ecological Monographs, 2007, 77.

[23] Schuster‐Böckler, Benjamin, Bateman A . An Introduction to Hidden Markov Models[J]. 2007.

[24] Patterson T A , Parton A , Langrock R , et al. Statistical modelling of individual animal movement: an overview of key methods and a discussion of practical challenges[J]. AStA Advances in Statistical Analysis, 2017, 101(1–3):1-40.

[25] Patterson T A , Basson M , Bravington M V , et al. Classifying movement behaviour in relation to environmental conditions using hidden Markov models[J]. Journal of Animal Ecology, 2009, 78(6).

[26] Avgar T , Potts J R , Lewis M A , et al. Integrated step selection analysis: Bridging the gap between resource selection and animal movement[J]. Methods in Ecology and Evolution, 2015.

[27] Forester J D , Rathouz I P J . Accounting for animal movement in estimation of resource selection functions: sampling and data analysis[J]. Ecology, 2009, 90(12):3554-3565.

[28] Zeller K A , Mcgarigal K , Cushman S A , et al. Using step and path selection functions for estimating resistance to movement: pumas as a case study[J]. Landscape Ecology, 2016, 31(6):1319-1335.

[29] Chatterjee N D . Elephant Migration and Dispersal: A Biogeographic Process[M]// Man–Elephant Conflict. Springer International Publishing, 2016.

[30] Rickbeil G J M , Merkle J A , Anderson G , et al. Plasticity in elk migration timing is a response to changing environmental conditions[J]. Global Change Biology, 2019.

[31] Safronov V M . REGIONAL POPULATIONS AND MIGRATION OF MOOSE IN NORTHERN YAKUTIA, RUSSIA[J]. Alces, 2009, 45:17-20.

[32] Edward, A, Codling, et al. Random walk models in biology[J]. Journal of the Royal Society Interface, 2008.

[33] Schippers P , Verboom J , Knaapen J P , et al. Dispersal and habitat connectivity in complex heterogeneous landscapes: An analysis with a GIS-based random walk model[J]. Ecography, 1996, 19:97-106.

[34] Bracis C , Mueller T . Memory, not just perception, plays an important role in terrestrial mammalian migration[J]. Proceedings of the Royal Society B: Biological Sciences, 2017, 284(1855):20170449.

[35] Bovet J . Homing Behavior of Mice: Test of a “Randomness”‐Model[J]. Ethology, 2015, 58(4):301-310.

[36] Rawson K S , Hartline P H . Telemetry of Homing Behavior by the Deermouse, Peromyscus[J]. Science, 1964, 146(3651):1596-1598.

[37] Bracis C , Bildstein K L , Mueller T . Revisitation analysis uncovers spatio-temporal patterns in animal movement data[J]. Ecography, 2018.

[38] Fryxell J M , Hazell M , Borger L , et al. Multiple movement modes by large herbivores at multiple spatiotemporal scales[J]. Proceedings of the National Academy of Sciences, 2008, 105(49):19114-19119.

[39] Qi D , Zhang S , Zhang Z , et al. Measures of giant panda habitat selection across multiple spatial scales for species conservation[J]. The Journal of Wildlife Management, 2012, 76.

[40] Hanks E M . Statistical models for animal movement and landscape connectivity[J]. Dissertations & Theses - Gradworks, 2013.

[41] Kauffman M J , Varley N , Smith D W , et al. Landscape heterogeneity shapes predation in a newly restored predator–prey system[J]. Ecology Letters, 2007, 10(8):690-700.

[42] Shepard E L C , Wilson R P , Rees W G , et al. Energy Landscapes Shape Animal Movement Ecology.[J]. The American Naturalist, 2013, 182(3):298-312.

[43] South A . Extrapolating from individual movement behaviour to population spacing patterns in a ranging mammal[J]. Ecological Modelling, 1999, 117(2-3):0-360.

[44] Sinsch U . Movement ecology of amphibians: from individual migratory behaviour to spatially structured populations in heterogeneous landscapes 1, 2[J]. Canadian Journal of Zoology, 2014, 92.

[45] Stephenson M B . Evaluation of alternative targeted cattle grazing practices and social association patterns of cattle in the western United States [J]. Dissertations & Theses - Gradworks, 2014.

[46] Fieberg, J, Kochanny, et al. Quantifying home-range overlap: The importance of the utilization distribution[J]. J WILDLIFE MANAGE, 2005.

[47] Ane, Eriksen, and, et al. Activity patterns of predator and prey: a simultaneous study of GPS-collared wolves and moose[J]. Animal Behaviour, 2011.

[48] Keeling M J , Danon L , Vernon M C , et al. Individual identity and movement networks for disease metapopulations[J]. Proceedings of the National Academy of Sciences, 2010, 107(19):8866-8870.

[49] Podgórski, Tomasz,mietanka, Krzysztof. Do wild boar movements drive the spread of African Swine Fever?[J]. Transboundary and Emerging Diseases, 2018.

[50] J. Jarolímek, J. Vaněk, M. Ježek, et al. The telemetric tracking of wild boar as a tool for field crops damage limitation[J]. Plant Soil and Environment, 2014, 60(9):418-425.

[51] Jachowski D S , Montgomery R A , Slotow R , et al. Unravelling complex associations between physiological state and movement of African elephants[J]. Functional Ecology, 2013, 27(5):1166-1175.

Downloads

Issue

Vol. 1 , Iss. 2 (April 2019)

Article Type

Reviews

License

Copyright and Licensing

The authors shall retain the copyright of their work but allow the Publisher to publish, copy, distribute, and convey the work.

Journal of Zoological Research publishes accepted manuscripts under Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). Authors who submit their papers for publication by Journal of Zoological Research agree to have the CC BY-NC 4.0 license applied to their work, and that anyone is allowed to reuse the article or part of it free of charge for non-commercial use. As long as you follow the license terms and original source is properly cited, anyone may copy, redistribute the material in any medium or format, remix, transform, and build upon the material.

License Policy for Reuse of Third-Party Materials

If a manuscript submitted to the journal contains the materials which are held in copyright by a third-party, authors are responsible for obtaining permissions from the copyright holder to reuse or republish any previously published figures, illustrations, charts, tables, photographs, and text excerpts, etc. When submitting a manuscript, official written proof of permission must be provided and clearly stated in the cover letter.
The editorial office of the journal has the right to reject/retract articles that reuse third-party materials without permission.

Journal Policies on Data Sharing

We encourage authors to share articles published in our journal to other data platforms, but only if it is noted that it has been published in this journal.

Most read articles by the same author(s)