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Fell A, Silva T, Duthie AB, Dent D. A global systematic review of frugivorous animal tracking studies and the estimation of seed dispersal distances. Ecol Evol 2023; 13:e10638. [PMID: 37915807 PMCID: PMC10616751 DOI: 10.1002/ece3.10638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 09/25/2023] [Accepted: 10/08/2023] [Indexed: 11/03/2023] Open
Abstract
Seed dispersal is one of the most important ecosystem functions globally. It shapes plant populations, enhances forest succession, and has multiple, indirect benefits for humans, yet it is one of the most threatened processes in plant regeneration, worldwide. Seed dispersal distances are determined by the diets, seed retention times and movements of frugivorous animals. Hence, understanding how we can most effectively describe frugivore movement and behaviour with rapidly developing animal tracking technology is key to quantifying seed dispersal. To assess the current use of animal tracking in frugivory studies and to provide a baseline for future studies, we provide a comprehensive review and synthesis on the existing primary literature of global tracking studies that monitor movement of frugivorous animals. Specifically, we identify studies that estimate dispersal distances and how they vary with body mass and environmental traits. We show that over the last two decades there has been a large increase in frugivore tracking studies that determine seed dispersal distances. However, some taxa (e.g. reptiles) and geographic locations (e.g. Africa and Central Asia) are poorly studied. Furthermore, we found that certain morphological and environmental traits can be used to predict seed dispersal distances. We demonstrate that flight ability and increased body mass both significantly increase estimated seed dispersal mean and maximum distances. Our results also suggest that protected areas have a positive effect on mean seed dispersal distances when compared to unprotected areas. We anticipate that this review will act as a reference for future frugivore tracking studies, specifically to target current taxonomic and geographic data gaps, and to further explore how seed dispersal relates to key frugivore and fruit traits.
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Affiliation(s)
- Adam Fell
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - Thiago Silva
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - A. Bradley Duthie
- Biological and Environmental SciencesUniversity of StirlingStirlingUK
| | - Daisy Dent
- Department of Environmental Systems ScienceInstitute of Integrative Biology, ETH ZurichZurichSwitzerland
- Max Planck Institute for Animal BehaviourKonstanzGermany
- Smithsonian Tropical Research InstituteBalboaPanama
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2
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Brown MB, Fennessy JT, Crego RD, Fleming CH, Alves J, Brandlová K, Fennessy S, Ferguson S, Hauptfleisch M, Hejcmanova P, Hoffman R, Leimgruber P, Masiaine S, McQualter K, Mueller T, Muller B, Muneza A, O'Connor D, Olivier AJ, Rabeil T, Seager S, Stacy-Dawes J, van Schalkwyk L, Stabach J. Ranging behaviours across ecological and anthropogenic disturbance gradients: a pan-African perspective of giraffe ( Giraffa spp .) space use. Proc Biol Sci 2023; 290:20230912. [PMID: 37357852 PMCID: PMC10291724 DOI: 10.1098/rspb.2023.0912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 05/26/2023] [Indexed: 06/27/2023] Open
Abstract
Animal movement behaviours are shaped by diverse factors, including resource availability and human impacts on the landscape. We generated home range estimates and daily movement rate estimates for 149 giraffe (Giraffa spp.) from all four species across Africa to evaluate the effects of environmental productivity and anthropogenic disturbance on space use. Using the continuous time movement modelling framework and a novel application of mixed effects meta-regression, we summarized overall giraffe space use and tested for the effects of resource availability and human impact on 95% autocorrelated kernel density estimate (AKDE) size and daily movement. The mean 95% AKDE was 359.9 km2 and the mean daily movement was 14.2 km, both with marginally significant differences across species. We found significant negative effects of resource availability, and significant positive effects of resource heterogeneity and protected area overlap on 95% AKDE size. There were significant negative effects of overall anthropogenic disturbance and positive effects of the heterogeneity of anthropogenic disturbance on daily movements and 95% AKDE size. Our results provide unique insights into the interactive effects of resource availability and anthropogenic development on the movements of a large-bodied browser and highlight the potential impacts of rapidly changing landscapes on animal space-use patterns.
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Affiliation(s)
- Michael Butler Brown
- Giraffe Conservation Foundation, PO Box 86099, Eros, Windhoek, Namibia
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
| | | | - Ramiro D. Crego
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
| | - Christen H. Fleming
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Joel Alves
- Wildscapes Veterinary & Conservation Services, Hoedspruit, South Africa
| | - Karolina Brandlová
- Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, 16500 Prague, Czechia
| | | | - Sara Ferguson
- Giraffe Conservation Foundation, PO Box 86099, Eros, Windhoek, Namibia
| | - Morgan Hauptfleisch
- Biodiversity Research Centre, Namibia University of Science and Technology, 8 Johann Albrecht Street, Windhoek, Namibia
| | - Pavla Hejcmanova
- Faculty of Tropical AgriSciences, Czech University of Life Sciences Prague, Kamycka 129, 16500 Prague, Czechia
| | - Rigardt Hoffman
- Giraffe Conservation Foundation, PO Box 86099, Eros, Windhoek, Namibia
| | - Peter Leimgruber
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
| | - Symon Masiaine
- Conservation Science & Wildlife Health, San Diego Zoo Wildlife Alliance, San Diego, CA, USA
| | - Kylie McQualter
- Centre for Ecosystem Studies, School of Biological Earth and Environmental Sciences, University of New South Wales, Kensington, NSW, 2052, Australia
| | - Thomas Mueller
- Senckenberg Biodiversity and Climate Research Centre and Department of Biological Science, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Ben Muller
- Wildscapes Veterinary & Conservation Services, Hoedspruit, South Africa
| | - Arthur Muneza
- Giraffe Conservation Foundation, PO Box 86099, Eros, Windhoek, Namibia
| | - David O'Connor
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
- Senckenberg Biodiversity and Climate Research Centre and Department of Biological Science, Goethe University Frankfurt, Frankfurt am Main, Germany
| | - Adriaan Jacobus Olivier
- Department of Conservation Ecology and Entomology, Stellenbosch University, Private Bag X1, Matieland 7602, South Africa
| | | | | | - Jenna Stacy-Dawes
- Conservation Science & Wildlife Health, San Diego Zoo Wildlife Alliance, San Diego, CA, USA
| | - Louis van Schalkwyk
- Office of the State Veterinarian, Department of Agriculture, Land Reform and Rural Development, Kruger National Park, Skukuza, South Africa
- Department of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany
- Department of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Pretoria, South Africa
| | - Jared Stabach
- Smithsonian National Zoo and Conservation Biology Institute, Conservation Ecology Center, 1500 Remount Rd, Front Royal, VA 22630, USA
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Jin T, Si X, Liu J, Ding P. An integrated animal tracking technology combining a
GPS
tracking system with a
UAV. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.14055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Affiliation(s)
- Tinghao Jin
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences Zhejiang University Zhejiang China
| | - Xingfeng Si
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences East China Normal University Shanghai China
- Institute of Eco‐Chongming (IEC) Shanghai China
| | - Juan Liu
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences Zhejiang University Zhejiang China
| | - Ping Ding
- MOE Key Laboratory of Biosystems Homeostasis & Protection, College of Life Sciences Zhejiang University Zhejiang China
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Laske TG, Garshelis DL, Iles TL, Iaizzo PA. An engineering perspective on the development and evolution of implantable cardiac monitors in free-living animals. Philos Trans R Soc Lond B Biol Sci 2021; 376:20200217. [PMID: 34121460 PMCID: PMC8200647 DOI: 10.1098/rstb.2020.0217] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
The latest technologies associated with implantable physiological monitoring devices can record multiple channels of data (including: heart rates and rhythms, activity, temperature, impedance and posture), and coupled with powerful software applications, have provided novel insights into the physiology of animals in the wild. This perspective details past challenges and lessons learned from the uses and developments of implanted biologgers designed for human clinical application in our research on free-ranging American black bears (Ursus americanus). In addition, we reference other research by colleagues and collaborators who have leveraged these devices in their work, including: brown bears (Ursus arctos), grey wolves (Canis lupus), moose (Alces alces), maned wolves (Chrysocyon brachyurus) and southern elephant seals (Mirounga leonina). We also discuss the potentials for applications of such devices across a range of other species. To date, the devices described have been used in fifteen different wild species, with publications pending in many instances. We have focused our physiological research on the analyses of heart rates and rhythms and thus special attention will be paid to this topic. We then discuss some major expected step changes such as improvements in sensing algorithms, data storage, and the incorporation of next-generation short-range wireless telemetry. The latter provides new avenues for data transfer, and when combined with cloud-based computing, it not only provides means for big data storage but also the ability to readily leverage high-performance computing platforms using artificial intelligence and machine learning algorithms. These advances will dramatically increase both data quantity and quality and will facilitate the development of automated recognition of extreme physiological events or key behaviours of interest in a broad array of environments, thus further aiding wildlife monitoring and management. This article is part of the theme issue ‘Measuring physiology in free-living animals (Part I)’.
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Affiliation(s)
- Timothy G Laske
- Department of Surgery, University of Minnesota, B172 Mayo, MMC 195, 420 Delaware Street SE, Minneapolis, MN 55455, USA
| | - David L Garshelis
- Minnesota Department of Natural Resources (retired), 1201 E Hwy 2, Grand Rapids, MN 55744, USA
| | - Tinen L Iles
- Department of Surgery, University of Minnesota, B172 Mayo, MMC 195, 420 Delaware Street SE, Minneapolis, MN 55455, USA
| | - Paul A Iaizzo
- Department of Surgery, University of Minnesota, B172 Mayo, MMC 195, 420 Delaware Street SE, Minneapolis, MN 55455, USA.,Institute for Engineering in Medicine, University of Minnesota, Minneapolis, MN 55455, USA
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Brandes S, Sicks F, Berger A. Behaviour Classification on Giraffes ( Giraffa camelopardalis) Using Machine Learning Algorithms on Triaxial Acceleration Data of Two Commonly Used GPS Devices and Its Possible Application for Their Management and Conservation. SENSORS (BASEL, SWITZERLAND) 2021; 21:2229. [PMID: 33806750 PMCID: PMC8005050 DOI: 10.3390/s21062229] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/15/2021] [Accepted: 03/18/2021] [Indexed: 01/08/2023]
Abstract
Averting today's loss of biodiversity and ecosystem services can be achieved through conservation efforts, especially of keystone species. Giraffes (Giraffa camelopardalis) play an important role in sustaining Africa's ecosystems, but are 'vulnerable' according to the IUCN Red List since 2016. Monitoring an animal's behavior in the wild helps to develop and assess their conservation management. One mechanism for remote tracking of wildlife behavior is to attach accelerometers to animals to record their body movement. We tested two different commercially available high-resolution accelerometers, e-obs and Africa Wildlife Tracking (AWT), attached to the top of the heads of three captive giraffes and analyzed the accuracy of automatic behavior classifications, focused on the Random Forests algorithm. For both accelerometers, behaviors of lower variety in head and neck movements could be better predicted (i.e., feeding above eye level, mean prediction accuracy e-obs/AWT: 97.6%/99.7%; drinking: 96.7%/97.0%) than those with a higher variety of body postures (such as standing: 90.7-91.0%/75.2-76.7%; rumination: 89.6-91.6%/53.5-86.5%). Nonetheless both devices come with limitations and especially the AWT needs technological adaptations before applying it on animals in the wild. Nevertheless, looking at the prediction results, both are promising accelerometers for behavioral classification of giraffes. Therefore, these devices when applied to free-ranging animals, in combination with GPS tracking, can contribute greatly to the conservation of giraffes.
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Affiliation(s)
- Stefanie Brandes
- Institut für Biochemie und Biologie, University of Potsdam, Am Neuen Palais 10, 14469 Potsdam, Germany;
- Leibniz-Institute for Zoo- and Wildlife Research, Alfred-Kowalke-Straße 17, 10315 Berlin, Germany
| | - Florian Sicks
- Tierpark Berlin-Friedrichsfelde GmbH, Am Tierpark 125, 10319 Berlin, Germany;
| | - Anne Berger
- Leibniz-Institute for Zoo- and Wildlife Research, Alfred-Kowalke-Straße 17, 10315 Berlin, Germany
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Intensity of giraffe locomotor activity is shaped by solar and lunar zeitgebers. Behav Processes 2020; 178:104178. [PMID: 32562740 DOI: 10.1016/j.beproc.2020.104178] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Revised: 06/05/2020] [Accepted: 06/05/2020] [Indexed: 02/07/2023]
Abstract
Natural cycles of light and darkness shift the balance of risks and gains for animals across space and time. Entrainment to photic cycles allows animals to spatiotemporally adapt their behavioural and physiological processes in line with interplaying ecological factors, such as temperature, foraging efficiency and predation risk. Until recently, our understanding of these chronobiological processes was limited by the difficulties of 24 h observations. Technological advances in GPS biotelemetry however are now allowing us unprecedented access to long-term, fine-scale activity data. Here we use data derived from frontline technology to present the first large-scale investigation into the effects of natural fluctuations of light and darkness on the locomotor activity patterns of a threatened African mega-herbivore, the giraffe (Giraffa spp.). Using data from a remote population of Angolan giraffe (G. g. angolensis) in the northern Namib Desert, Namibia, we reveal the first full picture of giraffe chronobiology in a landscape of fear. Furthermore, we present clear evidence of the effect of moonlight on the nocturnal activity patterns of large ungulates. Our results are in line with recent research demonstrating that, rather than a fixed internal representation of time (circadian clock), many surface-dwelling ungulates have plastic activity patterns that are vulnerable to modification by external factors including light and temperature. Relatedly, we highlight important conservation management implications of rising temperatures and increasing light pollution on the chronobiology of surface-dwelling mammals.
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