1
|
Fronhofer EA, Bonte D, Bestion E, Cote J, Deshpande JN, Duncan AB, Hovestadt T, Kaltz O, Keith SA, Kokko H, Legrand D, Malusare SP, Parmentier T, Saade C, Schtickzelle N, Zilio G, Massol F. Evolutionary ecology of dispersal in biodiverse spatially structured systems: what is old and what is new? Philos Trans R Soc Lond B Biol Sci 2024; 379:20230142. [PMID: 38913061 DOI: 10.1098/rstb.2023.0142] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 05/01/2024] [Indexed: 06/25/2024] Open
Abstract
Dispersal is a well-recognized driver of ecological and evolutionary dynamics, and simultaneously an evolving trait. Dispersal evolution has traditionally been studied in single-species metapopulations so that it remains unclear how dispersal evolves in metacommunities and metafoodwebs, which are characterized by a multitude of species interactions. Since most natural systems are both species-rich and spatially structured, this knowledge gap should be bridged. Here, we discuss whether knowledge from dispersal evolutionary ecology established in single-species systems holds in metacommunities and metafoodwebs and we highlight generally valid and fundamental principles. Most biotic interactions form the backdrop to the ecological theatre for the evolutionary dispersal play because interactions mediate patterns of fitness expectations across space and time. While this allows for a simple transposition of certain known principles to a multispecies context, other drivers may require more complex transpositions, or might not be transferred. We discuss an important quantitative modulator of dispersal evolution-increased trait dimensionality of biodiverse meta-systems-and an additional driver: co-dispersal. We speculate that scale and selection pressure mismatches owing to co-dispersal, together with increased trait dimensionality, may lead to a slower and more 'diffuse' evolution in biodiverse meta-systems. Open questions and potential consequences in both ecological and evolutionary terms call for more investigation. This article is part of the theme issue 'Diversity-dependence of dispersal: interspecific interactions determine spatial dynamics'.
Collapse
Affiliation(s)
- Emanuel A Fronhofer
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - Dries Bonte
- Terrestrial Ecology Unit (TEREC), Department of Biology, Ghent University, K.L. Ledeganckstraat 35 , Ghent B-9000, Belgium
| | - Elvire Bestion
- Station d'Ecologie Théorique et Expérimentale, CNRS, UAR 2029 , Moulis F-09200, France
| | - Julien Cote
- Laboratoire Évolution & Diversité Biologique, CNRS, Université Toulouse III Paul Sabatier, IRD, UMR 5174, 118 route de Narbonne , Toulouse F-31062, France
| | - Jhelam N Deshpande
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - Alison B Duncan
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - Thomas Hovestadt
- Department Animal Ecology and Tropical Biology, Biozentrum, University of Würzburg , Würzburg 97074, Germany
| | - Oliver Kaltz
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - Sally A Keith
- Lancaster Environment Centre, Lancaster University , Lancaster LA1 4YQ, UK
| | - Hanna Kokko
- Institute of Organismic and Molecular Evolution, Johannes Gutenberg University , Mainz 55128, Germany
| | - Delphine Legrand
- Station d'Ecologie Théorique et Expérimentale, CNRS, UAR 2029 , Moulis F-09200, France
| | - Sarthak P Malusare
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - Thomas Parmentier
- Terrestrial Ecology Unit (TEREC), Department of Biology, Ghent University, K.L. Ledeganckstraat 35 , Ghent B-9000, Belgium
- Research Unit of Environmental and Evolutionary Biology, Namur Institute of Complex Systems, and Institute of Life, Earth, and the Environment, University of Namur , Namur 5000, Belgium
| | - Camille Saade
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | | | - Giacomo Zilio
- ISEM, University of Montpellier, CNRS, IRD, EPHE , Montpellier 34095, France
| | - François Massol
- Institut Pasteur de Lille, Univ. Lille, CNRS, Inserm, CHU Lille, U1019 - UMR 9017 - CIIL - Center for Infection and Immunity of Lille , Lille 59000, France
| |
Collapse
|
2
|
Lowe WH, Addis BR, Cochrane MM. Outbreeding reduces survival during metamorphosis in a headwater stream salamander. Mol Ecol 2024; 33:e17375. [PMID: 38699973 DOI: 10.1111/mec.17375] [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: 03/06/2023] [Revised: 02/22/2024] [Accepted: 03/01/2024] [Indexed: 05/05/2024]
Abstract
Assessing direct fitness effects of individual genetic diversity is challenging due to the intensive and long-term data needed to quantify survival and reproduction in the wild. But resolving these effects is necessary to determine how inbreeding and outbreeding influence eco-evolutionary processes. We used 8 years of capture-recapture data and single nucleotide polymorphism genotypes for 1906 individuals to test for effects of individual heterozygosity on stage-specific survival probabilities in the salamander Gyrinophilus porphyriticus. The life cycle of G. porphyriticus includes an aquatic larval stage followed by metamorphosis into a semi-aquatic adult stage. In our study populations, the larval stage lasts 6-10 years, metamorphosis takes several months, and lifespan can reach 20 years. Previous studies showed that metamorphosis is a sensitive life stage, leading us to predict that fitness effects of individual heterozygosity would occur during metamorphosis. Consistent with this prediction, monthly probability of survival during metamorphosis declined with multi-locus heterozygosity (MLH), from 0.38 at the lowest MLH (0.10) to 0.06 at the highest MLH (0.38), a reduction of 84%. Body condition of larvae also declined significantly with increasing MLH. These relationships were consistent in the three study streams. With evidence of localised inbreeding within streams, these results suggest that outbreeding disrupts adaptations in pre-metamorphic and metamorphic individuals to environmental gradients along streams, adding to evidence that headwater streams are hotspots of microgeographic adaptation. Our results also underscore the importance of incorporating life history in analyses of the fitness effects of individual genetic diversity and suggest that metamorphosis and similar discrete life stage transitions may be critical periods of viability selection.
Collapse
Affiliation(s)
- Winsor H Lowe
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Brett R Addis
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| | - Madaline M Cochrane
- Division of Biological Sciences, University of Montana, Missoula, Montana, USA
| |
Collapse
|
3
|
Ravigné V, Rodrigues LR, Charlery de la Masselière M, Facon B, Kuczyński L, Radwan J, Skoracka A, Magalhães S. Understanding the joint evolution of dispersal and host specialisation using phytophagous arthropods as a model group. Biol Rev Camb Philos Soc 2024; 99:219-237. [PMID: 37724465 DOI: 10.1111/brv.13018] [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: 05/25/2023] [Revised: 09/11/2023] [Accepted: 09/11/2023] [Indexed: 09/20/2023]
Abstract
Theory generally predicts that host specialisation and dispersal should evolve jointly. Indeed, many models predict that specialists should be poor dispersers to avoid landing on unsuitable hosts while generalists will have high dispersal abilities. Phytophagous arthropods are an excellent group to test this prediction, given extensive variation in their host range and dispersal abilities. Here, we explore the degree to which the empirical literature on this group is in accordance with theoretical predictions. We first briefly outline the theoretical reasons to expect such a correlation. We then report empirical studies that measured both dispersal and the degree of specialisation in phytophagous arthropods. We find a correlation between dispersal and levels of specialisation in some studies, but with wide variation in this result. We then review theoretical attributes of species and environment that may blur this correlation, namely environmental grain, temporal heterogeneity, habitat selection, genetic architecture, and coevolution between plants and herbivores. We argue that theoretical models fail to account for important aspects, such as phenotypic plasticity and the impact of selective forces stemming from other biotic interactions, on both dispersal and specialisation. Next, we review empirical caveats in the study of this interplay. We find that studies use different measures of both dispersal and specialisation, hampering comparisons. Moreover, several studies do not provide independent measures of these two traits. Finally, variation in these traits may occur at scales that are not being considered. We conclude that this correlation is likely not to be expected from large-scale comparative analyses as it is highly context dependent and should not be considered in isolation from the factors that modulate it, such as environmental scale and heterogeneity, intrinsic traits or biotic interactions. A stronger crosstalk between theoretical and empirical studies is needed to understand better the prevalence and basis of the correlation between dispersal and specialisation.
Collapse
Affiliation(s)
- Virginie Ravigné
- CIRAD, UMR PHIM, - PHIM, University of Montpellier, CIRAD, INRAE, Institut Agro, IRD, TA A-120/K, Campus international de Baillarguet, avenue du Campus d'Agropolis, Montpellier Cedex 5, 34398, France
| | - Leonor R Rodrigues
- cE3c: Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, edifício C2, Lisboa, 1749-016, Portugal
| | - Maud Charlery de la Masselière
- cE3c: Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, edifício C2, Lisboa, 1749-016, Portugal
| | - Benoît Facon
- CBGP, INRAE, IRD, CIRAD, Institut Agro, University of Montpellier, 755 avenue du Campus Agropolis, CS 34988, Montferrier sur Lez cedex, 30016, France
| | - Lechosław Kuczyński
- Population Ecology Lab, Faculty of Biology, Institute of Environmental Biology, Adam Mickiewicz University, Poznań, Uniwersytetu Poznańskiego 6, Poznań, 61-614, Poland
| | - Jacek Radwan
- Evolutionary Biology Group, Faculty of Biology, Institute of Environmental Biology, Adam Mickiewicz University, Poznań, Uniwersytetu Poznańskiego 6, Poznań, 61-614, Poland
| | - Anna Skoracka
- Population Ecology Lab, Faculty of Biology, Institute of Environmental Biology, Adam Mickiewicz University, Poznań, Uniwersytetu Poznańskiego 6, Poznań, 61-614, Poland
| | - Sara Magalhães
- cE3c: Centre for Ecology, Evolution and Environmental Changes & CHANGE - Global Change and Sustainability Institute, Departamento Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, Campo Grande, edifício C2, Lisboa, 1749-016, Portugal
| |
Collapse
|
4
|
Reyes E, Cunliffe F, M'Gonigle LK. Evolutionary dynamics of dispersal and local adaptation in multi-resource landscapes. Theor Popul Biol 2023; 153:102-110. [PMID: 37442528 DOI: 10.1016/j.tpb.2023.07.002] [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: 08/22/2022] [Revised: 07/04/2023] [Accepted: 07/05/2023] [Indexed: 07/15/2023]
Abstract
Dispersal can enable access to resources in new locations. Consequently, traits that govern dispersal probability and dispersal distance may impact an individual's ability to acquire resources. However, spatial variation in the quality or quantity of resources may mediate potential adaptive benefits of novel dispersal traits. Ecological traits (i.e., those that determine how an individual processes resources) will also, by definition, affect how an individual interacts with the resource landscape. In a spatially heterogeneous environment, this creates potential for evolutionary feedbacks between dispersal-related traits and ecological traits. For example, dispersal may introduce individuals to novel resources, at which point there may be selection for local adaptation of ecological traits. Conversely, an individual's ability to utilize different resource types may determine how dispersal impacts fitness. Here, we develop an individual-based model to investigate co-evolution of dispersal and ecological traits in a landscape where multiple resources vary independently across space. We find that: (1) resource specialists can emerge and tend to evolve dispersal strategies suited to the structure of their preferred resource type and (2) generalists, when they emerge, tend to possess intermediate dispersal strategies. Lastly, we note that the effect of dispersal on the evolution of the ecological trait is weaker than vice versa and, as a result, appreciable heterogeneity in the abundance of resources across a landscape will likely obscure a signal of co-evolution.
Collapse
Affiliation(s)
- Elijah Reyes
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6.
| | - Finnerty Cunliffe
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6
| | - Leithen K M'Gonigle
- Department of Biological Sciences, Simon Fraser University, 8888 University Drive, Burnaby, BC, Canada, V5A 1S6
| |
Collapse
|
5
|
Tomasini M, Peischl S. The role of spatial structure in multi-deme models of evolutionary rescue. J Evol Biol 2022; 35:986-1001. [PMID: 35704340 DOI: 10.1111/jeb.14018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 04/07/2022] [Accepted: 04/13/2022] [Indexed: 11/30/2022]
Abstract
Genetic variation and population sizes are critical factors for successful adaptation to novel environmental conditions. Gene flow between sub-populations is a potent mechanism to provide such variation and can hence facilitate adaptation, for instance by increasing genetic variation or via the introduction of beneficial variants. On the other hand, if gene flow between different habitats is too strong, locally beneficial alleles may not be able to establish permanently. In the context of evolutionary rescue, intermediate levels of gene flow are therefore often optimal for maximizing a species chance for survival in metapopulations without spatial structure. To which extent and under which conditions gene flow facilitates or hinders evolutionary rescue in spatially structured populations remains unresolved. We address this question by studying the differences between evolutionary rescue in the island model and in the stepping stone model in a gradually deteriorating habitat. We show that evolutionary rescue is modulated by the rate of gene flow between different habitats, which in turn depends strongly on the spatial structure and the pattern of environmental deterioration. We use these insights to show that in many cases spatially structured models can be translated into a simpler island model using an appropriately scaled effective migration rate.
Collapse
Affiliation(s)
- Matteo Tomasini
- Interfaculty Bioinformatics Unit, University of Bern, Bern, Switzerland.,Computational and Molecular Population Genetics Laboratory, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Swiss Institute for Bioinformatics, Lausanne, Switzerland
| | - Stephan Peischl
- Interfaculty Bioinformatics Unit, University of Bern, Bern, Switzerland.,Swiss Institute for Bioinformatics, Lausanne, Switzerland
| |
Collapse
|
6
|
Fernández-Meirama M, Rolán-Alvarez E, Carvajal-Rodríguez A. A Simulation Study of the Ecological Speciation Conditions in the Galician Marine Snail Littorina saxatilis. Front Genet 2022; 13:680792. [PMID: 35480312 PMCID: PMC9037070 DOI: 10.3389/fgene.2022.680792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Accepted: 03/09/2022] [Indexed: 11/13/2022] Open
Abstract
In the last years, the interest in evolutionary divergence at small spatial scales has increased and so did the study of speciation caused by ecologically based divergent natural selection. The evolutionary interplay between gene flow and local adaptation can lead to low-dispersal locally adapted specialists. When this occurs, the evolutionary interplay between gene flow and local adaptation could eventually lead to speciation. The L. saxatilis system consists of two ecotypes displaying a microhabitat-associated intraspecific dimorphism along the wave-exposed rocky shores of Galicia. Despite being a well-known system, the dynamics of the ecotype formation remain unclear and cannot be studied from empirical evidence alone. In this study, individual-based simulations were used to incorporate relevant ecological, spatial, and genetic information, to check different evolutionary scenarios that could evolve non-random mating preferences and finally may facilitate speciation. As main results, we observed the evolution of intermediate values of choice which matches the estimates from empirical data of L. saxatilis in Galician shores and coincides with previous theoretical outcomes. Also, the use of the mating correlation as a proxy for assortative mating led to spuriously inferring greater reproductive isolation in the middle habitat than in the others, which does not happen when directly considering the choice values from the simulations. We also corroborate the well-known fact that the occurrence of speciation is influenced by the strength of selection. Taken together, this means, also according to other L. saxatilis systems, that speciation is not an immediate consequence of local divergent selection and mating preferences, but a fine tuning among several factors including the ecological conditions in the shore levels, the selection strength, the mate choice stringency, and cost to choosiness. The L. saxatilis system could correspond to a case of incomplete reproductive isolation, where the choice intensity is intermediate and local adaptation within the habitat is strong. These results support previous interpretations of the L. saxatilis model system and indicate that further empirical studies would be interesting to test whether the mate choice mechanism functions as a similarity-like mechanism as has been shown in other littorinids.
Collapse
Affiliation(s)
- M Fernández-Meirama
- Departamento de Bioquímica, Genética e Inmunología and Centro de Investigación Mariña (CIM), Universidade de Vigo, Vigo, Spain
| | - E Rolán-Alvarez
- Departamento de Bioquímica, Genética e Inmunología and Centro de Investigación Mariña (CIM), Universidade de Vigo, Vigo, Spain
| | - A Carvajal-Rodríguez
- Departamento de Bioquímica, Genética e Inmunología and Centro de Investigación Mariña (CIM), Universidade de Vigo, Vigo, Spain
| |
Collapse
|
7
|
Borges IL, Dangerfield JC, Angeloni LM, Funk WC, Fitzpatrick SW. Reproductive benefits associated with dispersal in headwater populations of Trinidadian guppies (Poecilia reticulata). Ecol Lett 2021; 25:344-354. [PMID: 34825455 DOI: 10.1111/ele.13929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/08/2021] [Accepted: 10/22/2021] [Indexed: 12/01/2022]
Abstract
Theory suggests that the evolution of dispersal is balanced by its fitness costs and benefits, yet empirical evidence is sparse due to the difficulties of measuring dispersal and fitness in natural populations. Here, we use spatially explicit data from a multi-generational capture-mark-recapture study of two populations of Trinidadian guppies (Poecilia reticulata) along with pedigrees to test whether there are fitness benefits correlated with dispersal. Combining these ecological and molecular data sets allows us to directly measure the relationship between movement and reproduction. Individual dispersal was measured as the total distance moved by a fish during its lifetime. We analysed the effects of dispersal propensity and distance on a variety of reproductive metrics. We found that number of mates and number of offspring were positively correlated to dispersal, especially for males. Our results also reveal individual and environmental variation in dispersal, with sex, size, season, and stream acting as determining factors.
Collapse
Affiliation(s)
- Isabela L Borges
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan, USA.,Department of Integrative Biology, Michigan State University, East Lansing, Michigan, USA.,Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA
| | - Jillian C Dangerfield
- Cell and Molecular Biology Graduate Program, The University of Texas at Austin, Austin, Texas, USA
| | - Lisa M Angeloni
- Department of Biology, Colorado State University, Fort Collins, Colorado, USA.,Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
| | - W Chris Funk
- Department of Biology, Colorado State University, Fort Collins, Colorado, USA.,Graduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA
| | - Sarah W Fitzpatrick
- W.K. Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan, USA.,Department of Integrative Biology, Michigan State University, East Lansing, Michigan, USA.,Ecology, Evolution, and Behavior Program, Michigan State University, East Lansing, Michigan, USA
| |
Collapse
|
8
|
Saatoglu D, Niskanen AK, Kuismin M, Ranke PS, Hagen IJ, Araya-Ajoy YG, Kvalnes T, Pärn H, Rønning B, Ringsby TH, Saether BE, Husby A, Sillanpää MJ, Jensen H. Dispersal in a house sparrow metapopulation: An integrative case study of genetic assignment calibrated with ecological data and pedigree information. Mol Ecol 2021; 30:4740-4756. [PMID: 34270821 DOI: 10.1111/mec.16083] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 07/02/2021] [Accepted: 07/05/2021] [Indexed: 01/12/2023]
Abstract
Dispersal has a crucial role determining ecoevolutionary dynamics through both gene flow and population size regulation. However, to study dispersal and its consequences, one must distinguish immigrants from residents. Dispersers can be identified using telemetry, capture-mark-recapture (CMR) methods, or genetic assignment methods. All of these methods have disadvantages, such as high costs and substantial field efforts needed for telemetry and CMR surveys, and adequate genetic distance required in genetic assignment. In this study, we used genome-wide 200K Single Nucleotide Polymorphism data and two different genetic assignment approaches (GSI_SIM, Bayesian framework; BONE, network-based estimation) to identify the dispersers in a house sparrow (Passer domesticus) metapopulation sampled over 16 years. Our results showed higher assignment accuracy with BONE. Hence, we proceeded to diagnose potential sources of errors in the assignment results from the BONE method due to variation in levels of interpopulation genetic differentiation, intrapopulation genetic variation and sample size. We show that assignment accuracy is high even at low levels of genetic differentiation and that it increases with the proportion of a population that has been sampled. Finally, we highlight that dispersal studies integrating both ecological and genetic data provide robust assessments of the dispersal patterns in natural populations.
Collapse
Affiliation(s)
- Dilan Saatoglu
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Alina K Niskanen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Markku Kuismin
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Finland
| | - Peter S Ranke
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ingerid J Hagen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Norwegian Institute for Nature Research, Trondheim, Norway
| | - Yimen G Araya-Ajoy
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Thomas Kvalnes
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Henrik Pärn
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bernt Rønning
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Thor Harald Ringsby
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Bernt-Erik Saether
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| | - Arild Husby
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway.,Department of Ecology and Genetics, Uppsala University, Uppsala, Sweden
| | - Mikko J Sillanpää
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland.,Biocenter Oulu, University of Oulu, Finland.,Infotech Oulu, University of Oulu, Oulu, Finland
| | - Henrik Jensen
- Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, Trondheim, Norway
| |
Collapse
|
9
|
Sapage M, Varela SAM, Kokko H. Social learning by mate‐choice copying increases dispersal and reduces local adaptation. Funct Ecol 2020. [DOI: 10.1111/1365-2435.13735] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Manuel Sapage
- cE3c—Centre for Ecology, Evolution and Environmental Changes Faculdade de Ciências Universidade de Lisboa Lisboa Portugal
| | - Susana A. M. Varela
- cE3c—Centre for Ecology, Evolution and Environmental Changes Faculdade de Ciências Universidade de Lisboa Lisboa Portugal
- Instituto Gulbenkian de Ciência Oeiras Portugal
- ISPA—Instituto Universitário Lisboa Portugal
| | - Hanna Kokko
- Department of Evolutionary Biology and Environmental Studies University of Zurich Zurich Switzerland
| |
Collapse
|
10
|
Abstract
Historically, many biologists assumed that evolution and ecology acted independently because evolution occurred over distances too great to influence most ecological patterns. Today, evidence indicates that evolution can operate over a range of spatial scales, including fine spatial scales. Thus, evolutionary divergence across space might frequently interact with the mechanisms that also determine spatial ecological patterns. Here, we synthesize insights from 500 eco-evolutionary studies and develop a predictive framework that seeks to understand whether and when evolution amplifies, dampens, or creates ecological patterns. We demonstrate that local adaptation can alter everything from spatial variation in population abundances to ecosystem properties. We uncover 14 mechanisms that can mediate the outcome of evolution on spatial ecological patterns. Sometimes, evolution amplifies environmental variation, especially when selection enhances resource uptake or patch selection. The local evolution of foundation or keystone species can create ecological patterns where none existed originally. However, most often, we find that evolution dampens existing environmental gradients, because local adaptation evens out fitness across environments and thus counteracts the variation in associated ecological patterns. Consequently, evolution generally smooths out the underlying heterogeneity in nature, making the world appear less ragged than it would be in the absence of evolution. We end by highlighting the future research needed to inform a fully integrated and predictive biology that accounts for eco-evolutionary interactions in both space and time.
Collapse
|
11
|
White TP, Veit RR. Spatial ecology of long‐tailed ducks and white‐winged scoters wintering on Nantucket Shoals. Ecosphere 2020. [DOI: 10.1002/ecs2.3002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Affiliation(s)
- Timothy P. White
- Environmental Studies Program, Bureau of Ocean Energy Management U.S. Department of the Interior Sterling Virginia 20166 USA
| | - Richard R. Veit
- Department of Biology CSI/CUNY Staten Island New York 10314 USA
- The Graduate Center CUNY New York New York 10016 USA
| |
Collapse
|
12
|
Kisdi É, Weigang HC, Gyllenberg M. The Evolution of Immigration Strategies Facilitates Niche Expansion by Divergent Adaptation in a Structured Metapopulation Model. Am Nat 2019; 195:1-15. [PMID: 31868542 DOI: 10.1086/706258] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Local adaptation and habitat choice are two key factors that control the distribution and diversification of species. Here we model habitat choice mechanistically as the outcome of dispersal with nonrandom immigration. We consider a structured metapopulation with a continuous distribution of patch types and determine the evolutionarily stable immigration strategy as the function linking patch type to the probability of settling in the patch on encounter. We uncover a novel mechanism whereby coexisting strains that only slightly differ in their local adaptation trait can evolve substantially different immigration strategies. In turn, different habitat use selects for divergent adaptations in the two strains. We propose that the joint evolution of immigration and local adaptation can facilitate diversification and discuss our results in the light of niche conservatism versus niche expansion.
Collapse
|
13
|
Tissot T, Massol F, Ujvari B, Alix-Panabieres C, Loeuille N, Thomas F. Metastasis and the evolution of dispersal. Proc Biol Sci 2019; 286:20192186. [PMID: 31771479 DOI: 10.1098/rspb.2019.2186] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
Despite significant progress in oncology, metastasis remains the leading cause of mortality of cancer patients. Understanding the foundations of this phenomenon could help contain or even prevent it. As suggested by many ecologists and cancer biologists, metastasis could be considered through the lens of biological dispersal: the movement of cancer cells from their birth site (the primary tumour) to other habitats where they resume proliferation (metastatic sites). However, whether this model can consistently be applied to the emergence and dynamics of metastasis remains unclear. Here, we provide a broad review of various aspects of the evolution of dispersal in ecosystems. We investigate whether similar ecological and evolutionary principles can be applied to metastasis, and how these processes may shape the spatio-temporal dynamics of disseminating cancer cells. We further discuss complementary hypotheses and propose experimental approaches to test the relevance of the evolutionary ecology of dispersal in studying metastasis.
Collapse
Affiliation(s)
- Tazzio Tissot
- Institute of Ecology and Environmental Sciences, Sorbonne University/CNRS/INRA/IRD/UPEC/Paris-Diderot University, Paris, France.,Eco-Anthropology, MNHN/CNRS/Paris-Diderot University, Paris, France
| | - François Massol
- Univ. Lille, CNRS, UMR 8198-Evo-Eco-Paleo, F-59000 Lille, France.,Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019-UMR 8204-CIIL-Center for Infection and Immunity of Lille, F-59000 Lille, France
| | - Beata Ujvari
- Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Victoria, Australia
| | - Catherine Alix-Panabieres
- Laboratory of Rare Human Circulating Cells (LCCRH), University Medical Centre of Montpellier, Montpellier, France
| | - Nicolas Loeuille
- Institute of Ecology and Environmental Sciences, Sorbonne University/CNRS/INRA/IRD/UPEC/Paris-Diderot University, Paris, France
| | - Frédéric Thomas
- CREEC (CREES), Unité Mixte de Recherches, IRD 224-CNRS 5290-Université de Montpellier, Montpellier, France
| |
Collapse
|
14
|
Masier S, Bonte D. Spatial connectedness imposes local‐ and metapopulation‐level selection on life history through feedbacks on demography. Ecol Lett 2019; 23:242-253. [DOI: 10.1111/ele.13421] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Accepted: 10/16/2019] [Indexed: 12/28/2022]
Affiliation(s)
- Stefano Masier
- Department of Biology Terrestrial Ecology Unit Ghent University K.L. Ledeganckstraat 35 9000 Ghent Belgium
| | - Dries Bonte
- Department of Biology Terrestrial Ecology Unit Ghent University K.L. Ledeganckstraat 35 9000 Ghent Belgium
| |
Collapse
|
15
|
Edelaar P, Baños-Villalba A, Quevedo DP, Escudero G, Bolnick DI, Jordán-Andrade A. Biased movement drives local cryptic coloration on distinct urban pavements. Proc Biol Sci 2019; 286:20191343. [PMID: 31575366 DOI: 10.1098/rspb.2019.1343] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Explanations of how organisms might adapt to urban environments have mostly focused on divergent natural selection and adaptive plasticity. However, differential habitat choice has been suggested as an alternative. Here, we test for habitat choice in enhancing crypsis in ground-perching grasshoppers colonizing an urbanized environment, composed of a mosaic of four distinctly coloured substrates (asphalt roads and adjacent pavements). Additionally, we determine its relative importance compared to present-day natural selection and phenotypic plasticity. We found that grasshoppers are very mobile, but nevertheless approximately match the colour of their local substrate. By manipulating grasshopper colour, we confirm that grasshoppers increase the usage of those urban substrates that resemble their own colours. This selective movement actively improves crypsis. Colour divergence between grasshoppers on different substrates is not or hardly owing to present-day natural selection, because observed mortality rates are too low to counteract random substrate use. Additional experiments also show negligible contributions from plasticity in colour. Our results confirm that matching habitat choice can be an important driver of adaptation to urban environments. In general, studies should more fully incorporate that individuals are not only selective targets (i.e. selected on by the environment), but also selective agents (i.e. selecting their own environments).
Collapse
Affiliation(s)
- Pim Edelaar
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Carretera Utrera km.1, 41013 Seville, Spain
| | - Adrian Baños-Villalba
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Carretera Utrera km.1, 41013 Seville, Spain
| | - David P Quevedo
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Carretera Utrera km.1, 41013 Seville, Spain.,Department of Ethology and Biodiversity Conservation, Doñana Biological Station-Spanish Research Council (EBD-CSIC), Avenida Americo Vespucio 26, 41092 Seville, Spain
| | - Graciela Escudero
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Carretera Utrera km.1, 41013 Seville, Spain
| | - Daniel I Bolnick
- Department of Ecology and Evolutionary Biology, University of Connecticut, 75N. Eagleville Road, Storrs, CT 06269-3043, USA.,Department of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA
| | - Aída Jordán-Andrade
- Department of Molecular Biology and Biochemical Engineering, University Pablo de Olavide, Carretera Utrera km.1, 41013 Seville, Spain
| |
Collapse
|
16
|
Trevail AM, Green JA, Sharples J, Polton JA, Miller PI, Daunt F, Owen E, Bolton M, Colhoun K, Newton S, Robertson G, Patrick SC. Environmental heterogeneity decreases reproductive success via effects on foraging behaviour. Proc Biol Sci 2019; 286:20190795. [PMID: 31161906 PMCID: PMC6571457 DOI: 10.1098/rspb.2019.0795] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Environmental heterogeneity shapes the uneven distribution of resources available to foragers, and is ubiquitous in nature. Optimal foraging theory predicts that an animal's ability to exploit resource patches is key to foraging success. However, the potential fitness costs and benefits of foraging in a heterogeneous environment are difficult to measure empirically. Heterogeneity may provide higher-quality foraging opportunities, or alternatively could increase the cost of resource acquisition because of reduced patch density or increased competition. Here, we study the influence of physical environmental heterogeneity on behaviour and reproductive success of black-legged kittiwakes, Rissa tridactyla. From GPS tracking data at 15 colonies throughout their British and Irish range, we found that environments that were physically more heterogeneous were associated with longer trip duration, more time spent foraging while away from the colony, increased overlap of foraging areas between individuals and lower breeding success. These results suggest that there is greater competition between individuals for finite resources in more heterogeneous environments, which comes at a cost to reproduction. Resource hotspots are often considered beneficial, as individuals can learn to exploit them if sufficiently predictable. However, we demonstrate here that such fitness gains can be countered by greater competition in more heterogeneous environments.
Collapse
Affiliation(s)
- Alice M Trevail
- 1 School of Environmental Sciences, University of Liverpool , Liverpool , UK
| | - Jonathan A Green
- 1 School of Environmental Sciences, University of Liverpool , Liverpool , UK
| | - Jonathan Sharples
- 1 School of Environmental Sciences, University of Liverpool , Liverpool , UK
| | | | - Peter I Miller
- 3 Remote Sensing Group, Plymouth Marine Laboratory , Plymouth , UK
| | - Francis Daunt
- 4 Centre for Ecology and Hydrology Edinburgh , Bush Estate, Penicuik, Midlothian , UK
| | - Ellie Owen
- 5 RSPB Centre for Conservation Science, RSPB Scotland, Etive House, Beechwood Park, Inverness , UK
| | - Mark Bolton
- 6 RSPB Centre for Conservation Science , The Lodge, Sandy, Bedfordshire , UK
| | - Kendrew Colhoun
- 7 RSPB Centre for Conservation Science , Belfast , UK.,8 School of Agriculture and Food Science, University College Dublin , Bellfield, Dublin 4 , Ireland
| | | | - Gail Robertson
- 10 School of Mathematics, University of Edinburgh , Edinburgh , UK
| | - Samantha C Patrick
- 1 School of Environmental Sciences, University of Liverpool , Liverpool , UK
| |
Collapse
|
17
|
Cox F, Newsham KK, Robinson CH. Endemic and cosmopolitan fungal taxa exhibit differential abundances in total and active communities of Antarctic soils. Environ Microbiol 2019; 21:1586-1596. [PMID: 30652397 PMCID: PMC6850668 DOI: 10.1111/1462-2920.14533] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2018] [Accepted: 01/13/2019] [Indexed: 01/05/2023]
Abstract
Our understanding of the diversity and community dynamics of soil fungi has increased greatly through the use of DNA-based identification. Community characterization of metabolically active communities via RNA sequencing has previously revealed differences between 'active' and 'total' fungal communities, which may be influenced by the persistence of DNA from nonactive components. However, it is not known how fungal traits influence their prevalence in these contrasting community profiles. In this study, we coextracted DNA and RNA from soil collected from three Antarctic islands to test for differences between total and active soil fungal communities. By matching these geographically isolated fungi against a global dataset of soil fungi, we show that widely dispersed taxa are often more abundant in the total community, whilst taxa restricted to Antarctica are more likely to have higher abundance in the active community. In addition, we find that active communities have lower richness, and show a reduction in the abundance of the most dominant fungi, whilst there are consistent differences in the abundances of certain taxonomic groups between the total and active communities. These results suggest that the views of soil fungal communities offered by DNA- and RNA-based characterization differ in predictable ways.
Collapse
Affiliation(s)
- Filipa Cox
- School of Earth & Environmental Sciences, The University of Manchester, Manchester M13 9PL, UK
- NERC British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK
| | - Kevin K Newsham
- NERC British Antarctic Survey, High Cross, Madingley Road, Cambridge CB3 0ET, UK
| | - Clare H Robinson
- School of Earth & Environmental Sciences, The University of Manchester, Manchester M13 9PL, UK
| |
Collapse
|
18
|
Moody KN, Wren JLK, Kobayashi DR, Blum MJ, Ptacek MB, Blob RW, Toonen RJ, Schoenfuss HL, Childress MJ. Evidence of local adaptation in a waterfall-climbing Hawaiian goby fish derived from coupled biophysical modeling of larval dispersal and post-settlement selection. BMC Evol Biol 2019; 19:88. [PMID: 30975077 PMCID: PMC6458715 DOI: 10.1186/s12862-019-1413-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/26/2019] [Indexed: 12/24/2022] Open
Abstract
Background Local adaptation of marine and diadromous species is thought to be a product of larval dispersal, settlement mortality, and differential reproductive success, particularly in heterogeneous post-settlement habitats. We evaluated this premise with an oceanographic passive larval dispersal model coupled with individual-based models of post-settlement selection and reproduction to infer conditions that underlie local adaptation in Sicyopterus stimpsoni, an amphidromous Hawaiian goby known for its ability to climb waterfalls. Results Our model results demonstrated that larval dispersal is spatio-temporally asymmetric, with more larvae dispersed from the southeast (the Big Island) to northwest (Kaua‘i) along the archipelago, reflecting prevailing conditions such as El Niño/La Niña oscillations. Yet connectivity is nonetheless sufficient to result in homogenous populations across the archipelago. We also found, however, that ontogenetic shifts in habitat can give rise to adaptive morphological divergence when the strength of predation-driven post-settlement selection crosses a critical threshold. Notably, our simulations showed that larval dispersal is not the only factor determining the likelihood of morphological divergence. We found adaptive potential and evolutionary trajectories of S. stimpsoni were greater on islands with stronger environmental gradients and greater variance in larval cohort morphology due to fluctuating immigration. Conclusions Contrary to expectation, these findings indicate that immigration can act in concert with selection to favor local adaptation and divergence in species with marine larval dispersal. Further development of model simulations, parameterized to reflect additional empirical estimates of abiotic and biotic factors, will help advance our understanding of the proximate and ultimate mechanisms driving adaptive evolution, population resilience, and speciation in marine-associated species. Electronic supplementary material The online version of this article (10.1186/s12862-019-1413-4) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Kristine N Moody
- Department of Ecology and Evolutionary Biology, University of Tennessee Knoxville, Knoxville, TN, 37996, USA. .,The ByWater Institute, Tulane University, New Orleans, LA, 70118, USA. .,Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA.
| | - Johanna L K Wren
- Department of Oceanography, School of Ocean and Earth Science and Technology (SOEST), University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.,Joint Institute of Marine and Atmospheric Research, University of Hawai'i at Mānoa, Honolulu, HI, 96822, USA.,Pacific Islands Fisheries Science Center, NOAA/NMFS, NOAA IRC, Honolulu, HI, 96818, USA
| | - Donald R Kobayashi
- Pacific Islands Fisheries Science Center, NOAA/NMFS, NOAA IRC, Honolulu, HI, 96818, USA
| | - Michael J Blum
- Department of Ecology and Evolutionary Biology, University of Tennessee Knoxville, Knoxville, TN, 37996, USA.,The ByWater Institute, Tulane University, New Orleans, LA, 70118, USA
| | - Margaret B Ptacek
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Richard W Blob
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
| | - Robert J Toonen
- Hawai'i Institute of Marine Biology, University of Hawai'i at Mānoa, Kāne'ohe, HI, 96744, USA
| | - Heiko L Schoenfuss
- Aquatic Toxicology Laboratory, St. Cloud State University, St Cloud, MN, 56301, USA
| | - Michael J Childress
- Department of Biological Sciences, Clemson University, Clemson, SC, 29634, USA
| |
Collapse
|
19
|
Yeakel JD, Gibert JP, Gross T, Westley PAH, Moore JW. Eco-evolutionary dynamics, density-dependent dispersal and collective behaviour: implications for salmon metapopulation robustness. Philos Trans R Soc Lond B Biol Sci 2019; 373:rstb.2017.0018. [PMID: 29581402 PMCID: PMC5882987 DOI: 10.1098/rstb.2017.0018] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/02/2018] [Indexed: 11/12/2022] Open
Abstract
The spatial dispersal of individuals plays an important role in the dynamics of populations, and is central to metapopulation theory. Dispersal provides connections within metapopulations, promoting demographic and evolutionary rescue, but may also introduce maladapted individuals, potentially lowering the fitness of recipient populations through introgression of heritable traits. To explore this dual nature of dispersal, we modify a well-established eco-evolutionary model of two locally adapted populations and their associated mean trait values, to examine recruiting salmon populations that are connected by density-dependent dispersal, consistent with collective migratory behaviour that promotes navigation. When the strength of collective behaviour is weak such that straying is effectively constant, we show that a low level of straying is associated with the highest gains in metapopulation robustness and that high straying serves to erode robustness. Moreover, we find that as the strength of collective behaviour increases, metapopulation robustness is enhanced, but this relationship depends on the rate at which individuals stray. Specifically, strong collective behaviour increases the presence of hidden low-density basins of attraction, which may serve to trap disturbed populations, and this is exacerbated by increased habitat heterogeneity. Taken as a whole, our findings suggest that density-dependent straying and collective migratory behaviour may help metapopulations, such as in salmon, thrive in dynamic landscapes. Given the pervasive eco-evolutionary impacts of dispersal on metapopulations, these findings have important ramifications for the conservation of salmon metapopulations facing both natural and anthropogenic contemporary disturbances.This article is part of the theme issue 'Collective movement ecology'.
Collapse
Affiliation(s)
- Justin D Yeakel
- School of Natural Sciences, University of California, Merced, CA 95340, USA .,The Santa Fe Institute, Santa Fe, NM 87501, USA
| | - Jean P Gibert
- School of Natural Sciences, University of California, Merced, CA 95340, USA
| | - Thilo Gross
- Department of Engineering Mathematics, University of Bristol, Bristol BS8 1TH, UK
| | - Peter A H Westley
- Department of Fisheries, University of Alaska Fairbanks, Fairbanks, AK 99775, USA
| | - Jonathan W Moore
- Earth2Oceans Research Group, Simon Fraser University, Burnaby BC, Canada V5A 1S6
| |
Collapse
|
20
|
Cenzer M, M'Gonigle LK. Local adaptation in dispersal in multi-resource landscapes. Evolution 2019; 73:648-660. [PMID: 30720200 DOI: 10.1111/evo.13691] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 01/04/2019] [Indexed: 11/27/2022]
Abstract
The distribution of resources in space has important consequences for the evolution of dispersal-related traits. Dispersal moderates patterns of gene flow and, consequently, the potential for local adaptation to spatially differentiated resource types. We lack both models and experiments that evaluate how dispersal evolves in landscapes with multiple resources. Here, we investigate the evolution of dispersal in landscapes that contain two resource types that differ in their spatial autocorrelations. Individuals may possess ecological traits that give them a fitness advantage on one or the other resource. We find that resources differing in their spatial autocorrelation select for different optimal dispersal strategies and, further, that some multi-resource landscapes can support the stable coexistence of distinct dispersal strategies. Whether divergence in dispersal strategies between resource specialists occurs depends on the underlying structure of the resources and the degree of linkage between dispersal strategies and ecological specialization. This work indicates that the spatial autocorrelation of resources is an important factor in determining when evolutionary branching is likely to occur, and sheds light on when secondary isolating mechanisms should arise between locally adapted specialists.
Collapse
Affiliation(s)
- Meredith Cenzer
- Department of Biological Science, Florida State University, Tallahassee, Florida, 32306.,Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599
| | - Leithen K M'Gonigle
- Department of Biological Science, Florida State University, Tallahassee, Florida, 32306.,Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| |
Collapse
|
21
|
Mortier F, Jacob S, Vandegehuchte ML, Bonte D. Habitat choice stabilizes metapopulation dynamics by enabling ecological specialization. OIKOS 2018. [DOI: 10.1111/oik.05885] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Frederik Mortier
- Terrestrial Ecology Unit, Dept of Biology, Ghent Univ Karel Lodewijk Ledeganckstraat 35 BE‐9000 Ghent Belgium
| | - Staffan Jacob
- Station d'Ecologie Théorique et Expérimentale, CNRS UMR5321 Moulis France
- Earth and Life Inst., Biodiversity Research Centre, Univ. Catholique de Louvain Louvain‐la‐Neuve Belgium
| | - Martijn L. Vandegehuchte
- Terrestrial Ecology Unit, Dept of Biology, Ghent Univ Karel Lodewijk Ledeganckstraat 35 BE‐9000 Ghent Belgium
| | - Dries Bonte
- Terrestrial Ecology Unit, Dept of Biology, Ghent Univ Karel Lodewijk Ledeganckstraat 35 BE‐9000 Ghent Belgium
| |
Collapse
|
22
|
Spatial heterogeneity and evolution of fecundity-affecting traits. J Theor Biol 2018; 454:190-204. [DOI: 10.1016/j.jtbi.2018.06.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 06/01/2018] [Accepted: 06/04/2018] [Indexed: 11/23/2022]
|
23
|
Nicolaus M, Edelaar P. Comparing the consequences of natural selection, adaptive phenotypic plasticity, and matching habitat choice for phenotype-environment matching, population genetic structure, and reproductive isolation in meta-populations. Ecol Evol 2018; 8:3815-3827. [PMID: 29721259 PMCID: PMC5916293 DOI: 10.1002/ece3.3816] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Revised: 11/01/2017] [Accepted: 12/06/2017] [Indexed: 02/02/2023] Open
Abstract
Organisms commonly experience significant spatiotemporal variation in their environments. In response to such heterogeneity, different mechanisms may act that enhance ecological performance locally. However, depending on the nature of the mechanism involved, the consequences for populations may differ greatly. Building on a previous model that investigated the conditions under which different adaptive mechanisms (co)evolve, this study compares the ecological and evolutionary population consequences of three very different responses to environmental heterogeneity: matching habitat choice (directed gene flow), adaptive plasticity (associated with random gene flow), and divergent natural selection. Using individual‐based simulations, we show that matching habitat choice can have a greater adaptive potential than plasticity or natural selection: it allows for local adaptation while protecting genetic polymorphism despite global mating or strong environmental changes. Our simulations further reveal that increasing environmental fluctuations and unpredictability generally favor the emergence of specialist genotypes but that matching habitat choice is better at preventing local maladaptation by individuals. This confirms that matching habitat choice can speed up the genetic divergence among populations, cause indirect assortative mating via spatial clustering, and hence even facilitate sympatric speciation. This study highlights the potential importance of directed dispersal in local adaptation and speciation, stresses the difficulty of deriving its operation from nonexperimental observational data alone, and helps define a set of ecological conditions which should favor its emergence and subsequent detection in nature.
Collapse
Affiliation(s)
- Marion Nicolaus
- Department of Molecular Biology and Biochemistry Engineering University Pablo de Olavide Sevilla Spain.,Conservation Ecology Group, Groningen Institute for Evolutionary Life Sciences (GELIFES) University of Groningen Groningen The Netherlands
| | - Pim Edelaar
- Department of Molecular Biology and Biochemistry Engineering University Pablo de Olavide Sevilla Spain
| |
Collapse
|
24
|
Saastamoinen M, Bocedi G, Cote J, Legrand D, Guillaume F, Wheat CW, Fronhofer EA, Garcia C, Henry R, Husby A, Baguette M, Bonte D, Coulon A, Kokko H, Matthysen E, Niitepõld K, Nonaka E, Stevens VM, Travis JMJ, Donohue K, Bullock JM, Del Mar Delgado M. Genetics of dispersal. Biol Rev Camb Philos Soc 2017; 93:574-599. [PMID: 28776950 PMCID: PMC5811798 DOI: 10.1111/brv.12356] [Citation(s) in RCA: 139] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2017] [Revised: 07/03/2017] [Accepted: 07/05/2017] [Indexed: 12/12/2022]
Abstract
Dispersal is a process of central importance for the ecological and evolutionary dynamics of populations and communities, because of its diverse consequences for gene flow and demography. It is subject to evolutionary change, which begs the question, what is the genetic basis of this potentially complex trait? To address this question, we (i) review the empirical literature on the genetic basis of dispersal, (ii) explore how theoretical investigations of the evolution of dispersal have represented the genetics of dispersal, and (iii) discuss how the genetic basis of dispersal influences theoretical predictions of the evolution of dispersal and potential consequences. Dispersal has a detectable genetic basis in many organisms, from bacteria to plants and animals. Generally, there is evidence for significant genetic variation for dispersal or dispersal‐related phenotypes or evidence for the micro‐evolution of dispersal in natural populations. Dispersal is typically the outcome of several interacting traits, and this complexity is reflected in its genetic architecture: while some genes of moderate to large effect can influence certain aspects of dispersal, dispersal traits are typically polygenic. Correlations among dispersal traits as well as between dispersal traits and other traits under selection are common, and the genetic basis of dispersal can be highly environment‐dependent. By contrast, models have historically considered a highly simplified genetic architecture of dispersal. It is only recently that models have started to consider multiple loci influencing dispersal, as well as non‐additive effects such as dominance and epistasis, showing that the genetic basis of dispersal can influence evolutionary rates and outcomes, especially under non‐equilibrium conditions. For example, the number of loci controlling dispersal can influence projected rates of dispersal evolution during range shifts and corresponding demographic impacts. Incorporating more realism in the genetic architecture of dispersal is thus necessary to enable models to move beyond the purely theoretical towards making more useful predictions of evolutionary and ecological dynamics under current and future environmental conditions. To inform these advances, empirical studies need to answer outstanding questions concerning whether specific genes underlie dispersal variation, the genetic architecture of context‐dependent dispersal phenotypes and behaviours, and correlations among dispersal and other traits.
Collapse
Affiliation(s)
- Marjo Saastamoinen
- Department of Biosciences, Metapopulation Research Centre, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
| | - Greta Bocedi
- School of Biological Sciences, University of Aberdeen, Aberdeen AB24 2TZ, U.K
| | - Julien Cote
- Laboratoire Évolution & Diversité Biologique UMR5174, CNRS, Université Toulouse III Paul Sabatier, 31062 Toulouse, France
| | - Delphine Legrand
- Centre National de la Recherche Scientifique and Université Paul Sabatier Toulouse III, SETE Station d'Ecologie Théorique et Expérimentale, UMR 5321, 09200 Moulis, France
| | - Frédéric Guillaume
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, CH-8057 Zurich, Switzerland
| | - Christopher W Wheat
- Population Genetics, Department of Zoology, Stockholm University, S-10691 Stockholm, Sweden
| | - Emanuel A Fronhofer
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, CH-8057 Zurich, Switzerland.,Department of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, CH-8600 Dubendorf, Switzerland
| | - Cristina Garcia
- CIBIO-InBIO, Universidade do Porto, 4485-661 Vairão, Portugal
| | - Roslyn Henry
- School of Biological Sciences, University of Aberdeen, Aberdeen AB24 2TZ, U.K.,School of GeoSciences, University of Edinburgh, Edinburgh EH89XP, U.K
| | - Arild Husby
- Department of Biosciences, Metapopulation Research Centre, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
| | - Michel Baguette
- Centre National de la Recherche Scientifique and Université Paul Sabatier Toulouse III, SETE Station d'Ecologie Théorique et Expérimentale, UMR 5321, 09200 Moulis, France.,Museum National d'Histoire Naturelle, Institut Systématique, Evolution, Biodiversité, UMR 7205, F-75005 Paris, France
| | - Dries Bonte
- Department of Biology, Ghent University, B-9000 Ghent, Belgium
| | - Aurélie Coulon
- PSL Research University, CEFE UMR 5175, CNRS, Université de Montpellier, Université Paul-Valéry Montpellier, EPHE, Biogéographie et Ecologie des Vertébrés, 34293 Montpellier, France.,CESCO UMR 7204, Bases écologiques de la conservation, Muséum national d'Histoire naturelle, 75005 Paris, France
| | - Hanna Kokko
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, CH-8057 Zurich, Switzerland
| | - Erik Matthysen
- Evolutionary Ecology Group, Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Kristjan Niitepõld
- Department of Biosciences, Metapopulation Research Centre, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
| | - Etsuko Nonaka
- Department of Biosciences, Metapopulation Research Centre, University of Helsinki, P.O. Box 65, 00014 Helsinki, Finland
| | - Virginie M Stevens
- Centre National de la Recherche Scientifique and Université Paul Sabatier Toulouse III, SETE Station d'Ecologie Théorique et Expérimentale, UMR 5321, 09200 Moulis, France
| | - Justin M J Travis
- School of Biological Sciences, University of Aberdeen, Aberdeen AB24 2TZ, U.K
| | | | - James M Bullock
- NERC Centre for Ecology & Hydrology, Wallingford OX10 8BB, U.K
| | | |
Collapse
|
25
|
Lakovic M, Mitesser O, Hovestadt T. Mating timing, dispersal and local adaptation in patchy environments. OIKOS 2017. [DOI: 10.1111/oik.04369] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Milica Lakovic
- Dept of Animal Ecology and Tropical Biology; Biocenter, Univ. of Wuerzburg, Fisher Str. 32, DE-97074; Wuerzburg Germany
| | - Oliver Mitesser
- Dept of Animal Ecology and Tropical Biology; Biocenter, Univ. of Wuerzburg, Fisher Str. 32, DE-97074; Wuerzburg Germany
| | - Thomas Hovestadt
- Dept of Animal Ecology and Tropical Biology; Biocenter, Univ. of Wuerzburg, Fisher Str. 32, DE-97074; Wuerzburg Germany
| |
Collapse
|
26
|
Massol F, Altermatt F, Gounand I, Gravel D, Leibold MA, Mouquet N. How life-history traits affect ecosystem properties: effects of dispersal in meta-ecosystems. OIKOS 2017. [DOI: 10.1111/oik.03893] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- François Massol
- CNRS, Univ. de Lille, UMR 8198 Evo-Eco-Paleo, SPICI group; FR-59000 Lille France
| | - Florian Altermatt
- Dept of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology; Dübendorf, Switzerland, and: Dept of Evolutionary Biology and Environmental Studies, Univ. of Zürich; Zürich Switzerland
| | - Isabelle Gounand
- Dept of Aquatic Ecology, Eawag, Swiss Federal Institute of Aquatic Science and Technology; Dübendorf, Switzerland, and: Dept of Evolutionary Biology and Environmental Studies, Univ. of Zürich; Zürich Switzerland
| | - Dominique Gravel
- Dépt de biologie; Univ. de Sherbrooke, Sherbrooke, Canada, and: Québec Center for Biodiversity Science; Quebec Canada
| | - Mathew A. Leibold
- Dept of Integrative Biology; Univ. of Texas at Austin; Austin TX USA
| | - Nicolas Mouquet
- 7 UMR MARBEC (MARine Biodiversity, Exploitation and Conservation); Univ. de Montpellier; Montpellier France
| |
Collapse
|
27
|
Denton RD, Greenwald KR, Gibbs HL. Locomotor endurance predicts differences in realized dispersal between sympatric sexual and unisexual salamanders. Funct Ecol 2016. [DOI: 10.1111/1365-2435.12813] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Robert D. Denton
- Department of Evolution, Ecology and Organismal Biology Ohio State University, 300 Aronoff Laboratory, 318 West 12th Avenue Columbus OH 43210 USA
- Ohio Biodiversity Conservation Partnership Ohio State University, 300 Aronoff Laboratory, 318 West 12th Avenue Columbus OH 43210 USA
| | - Katherine R. Greenwald
- Department of Biology Eastern Michigan University, 441 Mark Jefferson Science Complex Ypsilanti MI 48197 USA
| | - H. Lisle Gibbs
- Department of Evolution, Ecology and Organismal Biology Ohio State University, 300 Aronoff Laboratory, 318 West 12th Avenue Columbus OH 43210 USA
- Ohio Biodiversity Conservation Partnership Ohio State University, 300 Aronoff Laboratory, 318 West 12th Avenue Columbus OH 43210 USA
| |
Collapse
|
28
|
Affiliation(s)
- Dries Bonte
- Ghent University; Dept. Biology; K.L. Ledeganckstraat 35 BE-9000 Ghent Belgium
| | - Maxime Dahirel
- Ghent University; Dept. Biology; K.L. Ledeganckstraat 35 BE-9000 Ghent Belgium
- Univ. of Rennes 1/ CNRS; UMR 6553 Ecobio Rennes France
| |
Collapse
|
29
|
Tilquin A, Kokko H. What does the geography of parthenogenesis teach us about sex? Philos Trans R Soc Lond B Biol Sci 2016; 371:20150538. [PMID: 27619701 PMCID: PMC5031622 DOI: 10.1098/rstb.2015.0538] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2016] [Indexed: 11/12/2022] Open
Abstract
Theory predicts that sexual reproduction is difficult to maintain if asexuality is an option, yet sex is very common. To understand why, it is important to pay attention to repeatably occurring conditions that favour transitions to, or persistence of, asexuality. Geographic parthenogenesis is a term that has been applied to describe a large variety of patterns where sexual and related asexual forms differ in their geographic distribution. Often asexuality is stated to occur in a habitat that is, in some sense, marginal, but the interpretation differs across studies: parthenogens might not only predominate near the margin of the sexuals' distribution, but might also extend far beyond the sexual range; they may be disproportionately found in newly colonizable areas (e.g. areas previously glaciated), or in habitats where abiotic selection pressures are relatively stronger than biotic ones (e.g. cold, dry). Here, we review the various patterns proposed in the literature, the hypotheses put forward to explain them, and the assumptions they rely on. Surprisingly, few mathematical models consider geographic parthenogenesis as their focal question, but all models for the evolution of sex could be evaluated in this framework if the (often ecological) causal factors vary predictably with geography. We also recommend broadening the taxa studied beyond the traditional favourites.This article is part of the themed issue 'Weird sex: the underappreciated diversity of sexual reproduction'.
Collapse
Affiliation(s)
- Anaïs Tilquin
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Centre of Excellence in Biological Interactions, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| | - Hanna Kokko
- Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland Centre of Excellence in Biological Interactions, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland
| |
Collapse
|
30
|
Robitzch VSN, Lozano-Cortés D, Kandler NM, Salas E, Berumen ML. Productivity and sea surface temperature are correlated with the pelagic larval duration of damselfishes in the Red Sea. MARINE POLLUTION BULLETIN 2016; 105:566-574. [PMID: 26654297 DOI: 10.1016/j.marpolbul.2015.11.045] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2015] [Revised: 11/05/2015] [Accepted: 11/20/2015] [Indexed: 06/05/2023]
Abstract
We examined the variation of pelagic larval durations (PLDs) among three damselfishes, Dascyllus aruanus, D. marginatus, and D. trimaculatus, which live under the influence of an environmental gradient in the Red Sea. PLDs were significantly correlated with latitude, sea surface temperature (SST), and primary production (CHLA; chlorophyll a concentrations). We find a consistent decrease in PLDs with increasing SST and primary production (CHLA) towards the southern Red Sea among all species. This trend is likely related to higher food availability and increased metabolic rates in that region. We suggest that food availability is a potentially stronger driver of variation in PLD than temperature, especially in highly oligotrophic regions. Additionally, variations in PLDs were particularly high among specimens of D. marginatus, suggesting a stronger response to local environmental differences for endemic species. We also report the first average PLD for this species over a broad geographic range (19.82 ± 2.92 days).
Collapse
Affiliation(s)
- Vanessa S N Robitzch
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia.
| | - Diego Lozano-Cortés
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia; Coral Reef Ecology Research Group, Department of Biology, Universidad del Valle, Apartado Aéreo 25360, Cali, Colombia
| | - Nora M Kandler
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
| | - Eva Salas
- Department of Ecology and Evolutionary Biology, University of California, 100 Shaffer Road, Santa Cruz, CA 95060, USA; Section of Ichthyology, California Academy of Sciences, 55 Music Concourse Drive, San Francisco, CA 94118, USA
| | - Michael L Berumen
- Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia
| |
Collapse
|
31
|
Furstenau TN, Cartwright RA. The effect of the dispersal kernel on isolation-by-distance in a continuous population. PeerJ 2016; 4:e1848. [PMID: 27069794 PMCID: PMC4824897 DOI: 10.7717/peerj.1848] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2015] [Accepted: 03/04/2016] [Indexed: 11/29/2022] Open
Abstract
Under models of isolation-by-distance, population structure is determined by the probability of identity-by-descent between pairs of genes according to the geographic distance between them. Well established analytical results indicate that the relationship between geographical and genetic distance depends mostly on the neighborhood size of the population which represents a standardized measure of gene flow. To test this prediction, we model local dispersal of haploid individuals on a two-dimensional landscape using seven dispersal kernels: Rayleigh, exponential, half-normal, triangular, gamma, Lomax and Pareto. When neighborhood size is held constant, the distributions produce similar patterns of isolation-by-distance, confirming predictions. Considering this, we propose that the triangular distribution is the appropriate null distribution for isolation-by-distance studies. Under the triangular distribution, dispersal is uniform over the neighborhood area which suggests that the common description of neighborhood size as a measure of an effective, local panmictic population is valid for popular families of dispersal distributions. We further show how to draw random variables from the triangular distribution efficiently and argue that it should be utilized in other studies in which computational efficiency is important.
Collapse
Affiliation(s)
- Tara N Furstenau
- School of Life Sciences and the Biodesign Institute, Arizona State University , Tempe, AZ , United States of America
| | - Reed A Cartwright
- School of Life Sciences and the Biodesign Institute, Arizona State University , Tempe, AZ , United States of America
| |
Collapse
|
32
|
Gyllenberg M, Kisdi É, Weigang HC. On the evolution of patch-type dependent immigration. J Theor Biol 2016; 395:115-125. [DOI: 10.1016/j.jtbi.2016.01.042] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2015] [Revised: 01/21/2016] [Accepted: 01/23/2016] [Indexed: 10/22/2022]
|
33
|
Berdahl A, van Leeuwen A, Levin SA, Torney CJ. Collective behavior as a driver of critical transitions in migratory populations. MOVEMENT ECOLOGY 2016; 4:18. [PMID: 27429757 PMCID: PMC4946155 DOI: 10.1186/s40462-016-0083-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Accepted: 05/19/2016] [Indexed: 05/05/2023]
Abstract
BACKGROUND Mass migrations are among the most striking examples of animal movement in the natural world. Such migrations are major drivers of ecosystem processes and strongly influence the survival and fecundity of individuals. For migratory animals, a formidable challenge is to find their way over long distances and through complex, dynamic environments. However, recent theoretical and empirical work suggests that by traveling in groups, individuals are able to overcome these challenges and increase their ability to navigate. Here we use models to explore the implications of collective navigation on migratory, and population, dynamics, for both breeding migrations (to-and-fro migrations between distinct, fixed, end-points) and feeding migrations (loop migrations that track favorable conditions). RESULTS We show that while collective navigation does improve a population's ability to migrate accurately, it can lead to Allee effects, causing the sudden collapse of populations if numbers fall below a critical threshold. In some scenarios, hysteresis prevents the migration from recovering even after the cause of the collapse has been removed. In collectively navigating populations that are locally adapted to specific breeding sites, a slight increase in mortality can cause a collapse of genetic population structure, rather than population size, making it more difficult to detect and prevent. CONCLUSIONS Despite the large interest in collective behavior and its ubiquity in many migratory species, there is a notable lack of studies considering the implications of social navigation on the ecological dynamics of migratory species. Here we highlight the potential for a previously overlooked Allee effect in socially migrating species that may be important for conservation and management of such species.
Collapse
Affiliation(s)
- Andrew Berdahl
- />Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, 87501 NM USA
- />Department of Ecology & Evolutionary Biology, Princeton University, Princeton, 08544 NJ USA
| | - Anieke van Leeuwen
- />Department of Ecology & Evolutionary Biology, Princeton University, Princeton, 08544 NJ USA
| | - Simon A. Levin
- />Department of Ecology & Evolutionary Biology, Princeton University, Princeton, 08544 NJ USA
| | - Colin J. Torney
- />Department of Ecology & Evolutionary Biology, Princeton University, Princeton, 08544 NJ USA
- />Centre for Mathematics and the Environment, University of Exeter, Penryn Campus, Cornwall, UK
| |
Collapse
|
34
|
Kisdi E. Dispersal polymorphism in stable habitats. J Theor Biol 2015; 392:69-82. [PMID: 26739375 DOI: 10.1016/j.jtbi.2015.12.006] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 11/03/2015] [Accepted: 12/09/2015] [Indexed: 11/18/2022]
Abstract
In fragmented but temporally stable landscapes, kin competition selects for dispersal when habitat patches are small, whereas the loss of dispersal is favoured when dispersal is costly and local populations are large enough for kin interactions to be negligible. In heterogeneous landscapes with both small and large patches, contrasting levels of kin competition facilitate the coexistence of low-dispersal and high-dispersal strategies. In this paper, I use both adaptive dynamics and inclusive fitness to analyse the evolution of dispersal in a simple model assuming that each patch supports either a single individual or a large population. With this assumption, many results can be obtained analytically. If the fraction of individuals living in small patches is below a threshold, then evolutionary branching yields two coexisting dispersal strategies. An attracting and evolutionarily stable dimorphism always exists (also when the monomorphic population does not have a branching point), and contains a strategy with zero dispersal and a strategy with dispersal probability between one half and the ESS of the classic Hamilton-May model. The present model features surprisingly rich population dynamics with multiple equilibria and unprotected dimorphisms, but the evolutionarily stable dimorphism is always protected.
Collapse
Affiliation(s)
- Eva Kisdi
- Department of Mathematics and Statistics, University of Helsinki, PO Box 68, FIN-00014, Finland.
| |
Collapse
|
35
|
Abstract
Over the past decade, technological advances in experimental and animal tracking techniques have motivated a renewed theoretical interest in animal collective motion and, in particular, locust swarming. This review offers a comprehensive biological background followed by comparative analysis of recent models of locust collective motion, in particular locust marching, their settings, and underlying assumptions. We describe a wide range of recent modeling and simulation approaches, from discrete agent-based models of self-propelled particles to continuous models of integro-differential equations, aimed at describing and analyzing the fascinating phenomenon of locust collective motion. These modeling efforts have a dual role: The first views locusts as a quintessential example of animal collective motion. As such, they aim at abstraction and coarse-graining, often utilizing the tools of statistical physics. The second, which originates from a more biological perspective, views locust swarming as a scientific problem of its own exceptional merit. The main goal should, thus, be the analysis and prediction of natural swarm dynamics. We discuss the properties of swarm dynamics using the tools of statistical physics, as well as the implications for laboratory experiments and natural swarms. Finally, we stress the importance of a combined-interdisciplinary, biological-theoretical effort in successfully confronting the challenges that locusts pose at both the theoretical and practical levels.
Collapse
Affiliation(s)
- Gil Ariel
- Department of Mathematics, Bar Ilan University, Ramat-Gan, Israel
- * E-mail: (GA); (AA)
| | - Amir Ayali
- Department of Zoology, Faculty of Life Sciences, and Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
- * E-mail: (GA); (AA)
| |
Collapse
|