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van den Berg CP, Santon M, Endler JA, Cheney KL. Highly defended nudibranchs "escape" to visually distinct background habitats. Behav Ecol 2024; 35:arae053. [PMID: 39086666 PMCID: PMC11289952 DOI: 10.1093/beheco/arae053] [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: 12/12/2023] [Revised: 06/06/2024] [Accepted: 07/03/2024] [Indexed: 08/02/2024] Open
Abstract
The "escape and radiate" hypothesis predicts that once species have evolved aposematism, defended species can utilize more visually diverse visual backgrounds as they "escape" the need to be well camouflaged. This enables species to explore new ecological niches, resulting in increased diversification rates. To test this hypothesis "escape" component, we examined whether the background habitats of 12 nudibranch mollusk species differed among species depending on the presence and strength of chemical defenses. We obtained a rich array of color pattern statistics using quantitative color pattern analysis to analyze backgrounds viewed through the eyes of a potential predator (triggerfish, Rhinecanthus aculeatus). Color pattern analysis was done at viewing distances simulating an escalating predation sequence. We identified 4 latent factors comprising 17 noncorrelated color pattern parameters, which captured the among-species variability associated with differences in chemical defenses. We found that chemically defended species, indeed, were found on visually distinct backgrounds with increased color and luminance contrast, independent of viewing distance. However, we found no evidence for increased among-species background diversity coinciding with the presence and strength of chemical defenses. Our results agree with the "escape and radiate" hypothesis, suggesting that potent chemical defenses in Dorid nudibranchs coincide with spatiochromatic differences of visual background habitats perceived by potential predators.
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Affiliation(s)
- Cedric P van den Berg
- School of the Environment, The University of Queensland, University Drive, St. Lucia, QLD 4072, Australia
- School of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol, BS8 1TQ, United Kingdom
| | - Matteo Santon
- School of Biological Sciences, University of Bristol, 24 Tyndall Ave, Bristol, BS8 1TQ, United Kingdom
| | - John A Endler
- School of Life and Environmental Sciences, Deakin University, Waurn Ponds, VIC 3216, Australia
| | - Karen L Cheney
- School of the Environment, The University of Queensland, University Drive, St. Lucia, QLD 4072, Australia
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2
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van den Berg CP, Condon ND, Conradsen C, White TE, Cheney KL. Automated workflows using Quantitative Colour Pattern Analysis (QCPA): a guide to batch processing and downstream data analysis. Evol Ecol 2024; 38:387-397. [PMID: 38946730 PMCID: PMC11208187 DOI: 10.1007/s10682-024-10291-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 02/05/2024] [Indexed: 07/02/2024]
Abstract
Animal and plant colouration presents a striking dimension of phenotypic variation, the study of which has driven general advances in ecology, evolution, and animal behaviour. Quantitative Colour Pattern Analysis (QCPA) is a dynamic framework for analysing colour patterns through the eyes of non-human observers. However, its extensive array of user-defined image processing and analysis tools means image analysis is often time-consuming. This hinders the full use of analytical power provided by QCPA and its application to large datasets. Here, we offer a robust and comprehensive batch script, allowing users to automate many QCPA workflows. We also provide a complimentary set of useful R scripts for downstream data extraction and analysis. The presented batch processing extension will empower users to further utilise the analytical power of QCPA and facilitate the development of customised semi-automated workflows. Such quantitatively scaled workflows are crucial for exploring colour pattern spaces and developing ever-richer frameworks for analysing organismal colouration accounting for visual perception in animals other than humans. These advances will, in turn, facilitate testing hypotheses on the function and evolution of vision and signals at quantitative and qualitative scales, which are otherwise computationally unfeasible. Supplementary Information The online version contains supplementary material available at 10.1007/s10682-024-10291-7.
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Affiliation(s)
- Cedric P. van den Berg
- School of the Environment, The University of Queensland, Brisbane, QLD 4072 Australia
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2050 Australia
- School of Biological Sciences, University of Bristol, Bristol, BS8 1TQ UK
| | - Nicholas D. Condon
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD 4072 Australia
| | - Cara Conradsen
- School of the Environment, The University of Queensland, Brisbane, QLD 4072 Australia
| | - Thomas E. White
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2050 Australia
| | - Karen L. Cheney
- School of the Environment, The University of Queensland, Brisbane, QLD 4072 Australia
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3
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Nokelainen O, Silvasti SA, Strauss SY, Wahlberg N, Mappes J. Predator selection on phenotypic variability of cryptic and aposematic moths. Nat Commun 2024; 15:1678. [PMID: 38395999 PMCID: PMC10891176 DOI: 10.1038/s41467-024-45329-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 01/17/2024] [Indexed: 02/25/2024] Open
Abstract
Natural selection generally favours phenotypic variability in camouflaged organisms, whereas aposematic organisms are expected to evolve a more uniform warning coloration. However, no comprehensive analysis of the phenotypic consequences of predator selection in aposematic and cryptic species exists. Using state-of-the-art image analysis, we examine 2800 wing images of 82 moth species accessed via three online museum databases. We test whether anti-predator strategy (i.e., camouflage or aposematism) explains intraspecific variation in wing colour and pattern across northern hemisphere moths. In addition, we test two mutually non-exclusive, ecological hypotheses to explain variation in colour pattern: diel-activity or dietary-niche. In this work, taking into account phylogenetic relationships, moth phenotypic variability is best explained by anti-predator strategy with camouflaged moths being more variable in wing patterning than aposematic species.
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Affiliation(s)
- Ossi Nokelainen
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikki Biocenter 3, P.O. Box 65, 40014, Helsinki, Finland.
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland.
- Open Science Centre, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland.
| | - Sanni A Silvasti
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35, FI-40014, Jyväskylä, Finland
- School of Natural Sciences, Macquarie University, Sydney, NSW, 2109, Australia
| | - Sharon Y Strauss
- Department of Evolution and Ecology, University of California at Davis, 2320 Storer Hall, One Shields Avenue, Davis, CA, 95616, USA
- Wissenschaftskolleg zu Berlin, Wallotstrasse 19, Berlin, 14193, Germany
| | - Niklas Wahlberg
- Department of Biology, Lund University, Sölvegatan 37, SE-223 62, Lund, Sweden
| | - Johanna Mappes
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Viikki Biocenter 3, P.O. Box 65, 40014, Helsinki, Finland.
- Wissenschaftskolleg zu Berlin, Wallotstrasse 19, Berlin, 14193, Germany.
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Carlson ML, Stoddard MC. Evolution of Plumage Patterns in a Pattern Morphospace: A Phylogenetic Analysis of Melanerpine Woodpeckers. Am Nat 2024; 203:55-72. [PMID: 38207134 DOI: 10.1086/727508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
AbstractPlumage patterns of melanerpine (Melanerpes-Sphyrapicus) woodpeckers are strikingly diverse. Understanding the evolution and function of this diversity is challenging because of the difficulty of quantifying plumage patterns. We use a three-dimensional space to characterize the evolution of melanerpine achromatic plumage patterns. The axes of the space are three pattern features (spatial frequency, orientation, and contrast) quantified using two-dimensional fast Fourier transformation of museum specimen images. Mapping plumage in pattern space reveals differences in how species and subclades occupy the space. To quantify these differences, we derive two new measures of pattern: pattern diversity (diversity across plumage patches within a species) and pattern uniqueness (divergence of patterns from those of other species). We estimate that the melanerpine ancestor had mottled plumage and find that pattern traits across patches and subclades evolve at different rates. We also find that smaller species are more likely to display horizontal face patterning. We promote pattern spaces as powerful tools for investigating animal pattern evolution.
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Hancock GRA, Grayshon L, Burrell R, Cuthill I, Hoodless A, Troscianko J. Habitat geometry rather than visual acuity limits the visibility of a ground-nesting bird's clutch to terrestrial predators. Ecol Evol 2023; 13:e10471. [PMID: 37720061 PMCID: PMC10501817 DOI: 10.1002/ece3.10471] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 08/10/2023] [Accepted: 08/18/2023] [Indexed: 09/19/2023] Open
Abstract
The nests of ground-nesting birds rely heavily on camouflage for their survival, and predation risk, often linked to ecological changes from human activity, is a major source of mortality. Numerous ground-nesting bird populations are in decline, so understanding the effects of camouflage on their nesting behavior is relevant to their conservation concerns. Habitat three-dimensional (3D) geometry, together with predator visual abilities, viewing distance, and viewing angle, determine whether a nest is either visible, occluded, or too far away to detect. While this link is intuitive, few studies have investigated how fine-scale geometry is likely to help defend nests from different predator guilds. We quantified nest visibility based on 3D occlusion, camouflage, and predator visual modeling in northern lapwings, Vanellus vanellus, on different land management regimes. Lapwings selected local backgrounds that had a higher 3D complexity at a spatial scale greater than their entire clutches compared to local control sites. Importantly, our findings show that habitat geometry-rather than predator visual acuity-restricts nest visibility for terrestrial predators and that their field habitats, perceived by humans as open, are functionally closed with respect to a terrestrial predator searching for nests on the ground. Taken together with lapwings' careful nest site selection, our findings highlight the importance of considering habitat geometry for understanding the evolutionary ecology and management of conservation sites for ground-nesting birds.
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Affiliation(s)
| | | | - Ryan Burrell
- Faculty of Science and TechnologyBournemouth UniversityDorsetUK
| | - Innes Cuthill
- School of Biological SciencesUniversity of BristolBristolUK
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Puckett EE, Davis IS, Harper DC, Wakamatsu K, Battu G, Belant JL, Beyer DE, Carpenter C, Crupi AP, Davidson M, DePerno CS, Forman N, Fowler NL, Garshelis DL, Gould N, Gunther K, Haroldson M, Ito S, Kocka D, Lackey C, Leahy R, Lee-Roney C, Lewis T, Lutto A, McGowan K, Olfenbuttel C, Orlando M, Platt A, Pollard MD, Ramaker M, Reich H, Sajecki JL, Sell SK, Strules J, Thompson S, van Manen F, Whitman C, Williamson R, Winslow F, Kaelin CB, Marks MS, Barsh GS. Genetic architecture and evolution of color variation in American black bears. Curr Biol 2023; 33:86-97.e10. [PMID: 36528024 PMCID: PMC10039708 DOI: 10.1016/j.cub.2022.11.042] [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: 09/14/2022] [Revised: 11/08/2022] [Accepted: 11/18/2022] [Indexed: 12/23/2022]
Abstract
Color variation is a frequent evolutionary substrate for camouflage in small mammals, but the underlying genetics and evolutionary forces that drive color variation in natural populations of large mammals are mostly unexplained. The American black bear, Ursus americanus (U. americanus), exhibits a range of colors including the cinnamon morph, which has a similar color to the brown bear, U. arctos, and is found at high frequency in the American southwest. Reflectance and chemical melanin measurements showed little distinction between U. arctos and cinnamon U. americanus individuals. We used a genome-wide association for hair color as a quantitative trait in 151 U. americanus individuals and identified a single major locus (p < 10-13). Additional genomic and functional studies identified a missense alteration (R153C) in Tyrosinase-related protein 1 (TYRP1) that likely affects binding of the zinc cofactor, impairs protein localization, and results in decreased pigment production. Population genetic analyses and demographic modeling indicated that the R153C variant arose 9.36 kya in a southwestern population where it likely provided a selective advantage, spreading both northwards and eastwards by gene flow. A different TYRP1 allele, R114C, contributes to the characteristic brown color of U. arctos but is not fixed across the range.
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Affiliation(s)
- Emily E Puckett
- Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA.
| | - Isis S Davis
- Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA
| | - Dawn C Harper
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Kazumasa Wakamatsu
- Institute for Melanin Chemistry, Fujita Health University, Toyoake, Japan
| | - Gopal Battu
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Jerrold L Belant
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA
| | - Dean E Beyer
- Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI 48824, USA
| | - Colin Carpenter
- West Virginia Division of Natural Resources, Beckley, WV 25801, USA
| | - Anthony P Crupi
- Division of Wildlife Conservation, Alaska Department of Fish and Game, Douglas, Juneau, AK 99824, USA
| | - Maria Davidson
- The Louisiana Department of Wildlife and Fisheries, Baton Rouge, LA 70898, USA
| | - Christopher S DePerno
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695-7646, USA
| | - Nicholas Forman
- New Mexico Department of Game and Fish, Santa Fe, NM 87507, USA
| | - Nicholas L Fowler
- Division of Wildlife Conservation, Alaska Department of Fish and Game, Douglas, Juneau, AK 99824, USA
| | - David L Garshelis
- Minnesota Department of Natural Resources, Grand Rapids, MN 55744, USA; IUCN SSC Bear Specialist Group
| | - Nicholas Gould
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695-7646, USA
| | - Kerry Gunther
- National Park Service, Yellowstone National Park, WY 82190-0168, USA
| | - Mark Haroldson
- U.S. Geological Survey, Northern Rocky Mountain Science Center, Interagency Grizzly Bear Study Team, Bozeman, MT 59715, USA
| | - Shosuke Ito
- Institute for Melanin Chemistry, Fujita Health University, Toyoake, Japan
| | - David Kocka
- Virginia Department of Wildlife Resources, Verona, VA 24482, USA
| | - Carl Lackey
- Nevada Department of Wildlife, Reno, NV 89512, USA
| | - Ryan Leahy
- National Park Service, Yosemite National Park Wildlife Management, Yosemite, CA 95389, USA
| | - Caitlin Lee-Roney
- National Park Service, Yosemite National Park Wildlife Management, Yosemite, CA 95389, USA
| | - Tania Lewis
- National Park Service, Glacier Bay National Park, Gustavus, AK 99826, USA
| | - Ashley Lutto
- U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge, Soldotna, AK 99669, USA
| | - Kelly McGowan
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | | | - Mike Orlando
- Florida Fish and Wildlife Conservation Commission, Tallahassee, FL 32399, USA
| | - Alexander Platt
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Matthew D Pollard
- Department of Biological Sciences, University of Memphis, Memphis, TN 38152, USA
| | - Megan Ramaker
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | | | - Jaime L Sajecki
- Virginia Department of Wildlife Resources, Verona, VA 24482, USA
| | - Stephanie K Sell
- Division of Wildlife Conservation, Alaska Department of Fish and Game, Douglas, Juneau, AK 99824, USA
| | - Jennifer Strules
- Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC 27695-7646, USA
| | - Seth Thompson
- Virginia Department of Wildlife Resources, Verona, VA 24482, USA
| | - Frank van Manen
- U.S. Geological Survey, Northern Rocky Mountain Science Center, Interagency Grizzly Bear Study Team, Bozeman, MT 59715, USA
| | - Craig Whitman
- U.S. Geological Survey, Northern Rocky Mountain Science Center, Interagency Grizzly Bear Study Team, Bozeman, MT 59715, USA
| | - Ryan Williamson
- National Park Service, Great Smoky Mountains National Park, Gatlinburg, TN 37738, USA
| | | | - Christopher B Kaelin
- Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
| | - Michael S Marks
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA; Departments of Pathology and Laboratory Medicine and of Physiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Gregory S Barsh
- HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806, USA; Department of Genetics, School of Medicine, Stanford University, Stanford, CA 94305, USA
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7
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Wang Y, Liang S, Tu S, Shen Z, Dong Y, Liu G, Shi H, Jin Y. A comparative study of skin transcriptomes and histological observations for black and white hair colors of giant panda. Front Med (Lausanne) 2022; 9:983992. [PMID: 36507537 PMCID: PMC9729551 DOI: 10.3389/fmed.2022.983992] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 10/28/2022] [Indexed: 11/26/2022] Open
Abstract
The Giant pandas (Ailuropoda melanoleuca) are mammals belonging to the bear family, order Carnivora, and their characteristic hair color and distribution has been in the spotlight. In recent years, the gradual prevalence of skin diseases in giant pandas and even the discovery of albino individuals have made the study of the substrate of their skin hair distribution more and more urgent. In this study, by comparing the skin histology and transcriptomes for hairs of different color of giant pandas, we found that the melanin contents of hair follicles at the bases of black and white hairs differed, but the hair follicles at the base of white hairs also contained some amount of melanin. The transcriptome sequencing results showed that there were great differences in the expression of the transcriptome of the skin under different hair color blocks, in which the number of differentially expressed genes in the white skin was much smaller than that in the black skin. Transcriptomes for skin tissue samples for different hair colors revealed several enriched Kyoto encyclopedia of genes (KEGG) pathways that include tumor, cell adhesion and melanocyte growth-related signaling pathways. This study provides a theoretical basis for subsequent studies on hair color distribution and skin diseases in giant pandas.
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Affiliation(s)
| | | | | | | | | | | | - Hao Shi
- *Correspondence: Yipeng Jin,
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8
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Yorzinski JL, Troscianko J, Briolat E, Schapiro SJ, Whitham W. A songbird can detect the eyes of conspecifics under daylight and artificial nighttime lighting. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120000. [PMID: 35995296 DOI: 10.1016/j.envpol.2022.120000] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 07/25/2022] [Accepted: 08/16/2022] [Indexed: 06/15/2023]
Abstract
Eyes convey important information about the external and internal worlds of animals. Individuals can follow the gaze of others to learn about the location of salient objects as well as assess eye qualities to evaluate the health, age or other internal states of conspecifics. Because of the increasing prevalence of artificial lighting at night (ALAN), urbanized individuals can potentially garner information from conspecific eyes under both daylight and ALAN. We tested this possibility using a visual modeling approach in which we estimated the maximum distance at which individuals could detect conspecific eyes under daylight and high levels of ALAN. We also estimated the minimum light level at which individuals could detect conspecific eyes. Great-tailed grackles (Quiscalus mexicanus) were used as our study species because they are highly social and are unusual among birds in that they regularly gather at nocturnal roosts in areas with high levels of ALAN. This visual modelling approach revealed that grackles can detect conspecific eyes under both daylight and ALAN, regardless of iris coloration. The grackles could detect conspecific eyes at farther distances in daylight compared to ALAN. Our results highlight the potential importance of lighting conditions in shaping social interactions.
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Affiliation(s)
- Jessica L Yorzinski
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA.
| | - Jolyon Troscianko
- Centre for Ecology & Conservation, University of Exeter, Penryn, United Kingdom
| | - Emmanuelle Briolat
- Centre for Ecology & Conservation, University of Exeter, Penryn, United Kingdom
| | - Steven J Schapiro
- Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
| | - Will Whitham
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, USA; Department of Comparative Medicine, The University of Texas MD Anderson Cancer Center, Bastrop, TX, USA
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Zheng K, Liang D, Wang X, Han Y, Griesser M, Liu Y, Fan P. Contrasting coloured ventral wings are a visual collision avoidance signal in birds. Proc Biol Sci 2022; 289:20220678. [PMID: 35858052 PMCID: PMC9257291 DOI: 10.1098/rspb.2022.0678] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Collisions between fast-moving objects often cause severe damage, but collision avoidance mechanisms of fast-moving animals remain understudied. Particularly, birds can fly fast and often in large groups, raising the question of how individuals avoid in-flight collisions that are potentially lethal. We tested the collision-avoidance hypothesis, which proposes that conspicuously contrasting ventral wings are visual signals that help birds to avoid collisions. We scored the ventral wing contrasts for a global dataset of 1780 bird species. Phylogenetic comparative analyses showed that larger species had more contrasting ventral wings than smaller species, and that in larger species, colonial breeders had more contrasting ventral wings than non-colonial breeders. Evidently, larger species have lower manoeuvrability than smaller species, and colonial-breeding species frequently encounter con- and heterospecifics, increasing their risk of in-flight collisions. Thus, more contrasting ventral wing patterns in these species are a sensory mechanism that facilitates collision avoidance.
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Affiliation(s)
- Kaidan Zheng
- School of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Dan Liang
- School of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China,Princeton School of Public and International Affairs, Princeton University, Princeton, NJ 08540, USA
| | - Xuwen Wang
- Eli Lilly and Company, Indianapolis, IN 46225, USA
| | - Yuqing Han
- School of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Michael Griesser
- Department of Biology, University of Konstanz, Konstanz, Germany,Centre for the Advanced Study of Collective Behaviour, University of Konstanz, Konstanz, Germany,Department of Collective Behavior, Max Planck Institute of Animal Behavior, Konstanz, Germany
| | - Yang Liu
- School of Ecology, Sun Yat-sen University, Shenzhen, People's Republic of China,State Key Laboratory of Biological Control, Sun Yat-sen University, Guangzhou, People's Republic of China
| | - Pengfei Fan
- School of Life Sciences, Sun Yat-sen University, Guangzhou, People's Republic of China,State Key Laboratory of Biological Control, Sun Yat-sen University, Guangzhou, People's Republic of China
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