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Comte L, Bertrand R, Diamond S, Lancaster LT, Pinsky ML, Scheffers BR, Baecher JA, Bandara RMWJ, Chen IC, Lawlor JA, Moore NA, Oliveira BF, Murienne J, Rolland J, Rubenstein MA, Sunday J, Thompson LM, Villalobos F, Weiskopf SR, Lenoir J. Bringing traits back into the equation: A roadmap to understand species redistribution. GLOBAL CHANGE BIOLOGY 2024; 30:e17271. [PMID: 38613240 DOI: 10.1111/gcb.17271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Revised: 03/06/2024] [Accepted: 03/11/2024] [Indexed: 04/14/2024]
Abstract
Ecological and evolutionary theories have proposed that species traits should be important in mediating species responses to contemporary climate change; yet, empirical evidence has so far provided mixed evidence for the role of behavioral, life history, or ecological characteristics in facilitating or hindering species range shifts. As such, the utility of trait-based approaches to predict species redistribution under climate change has been called into question. We develop the perspective, supported by evidence, that trait variation, if used carefully can have high potential utility, but that past analyses have in many cases failed to identify an explanatory value for traits by not fully embracing the complexity of species range shifts. First, we discuss the relevant theory linking species traits to range shift processes at the leading (expansion) and trailing (contraction) edges of species distributions and highlight the need to clarify the mechanistic basis of trait-based approaches. Second, we provide a brief overview of range shift-trait studies and identify new opportunities for trait integration that consider range-specific processes and intraspecific variability. Third, we explore the circumstances under which environmental and biotic context dependencies are likely to affect our ability to identify the contribution of species traits to range shift processes. Finally, we propose that revealing the role of traits in shaping species redistribution may likely require accounting for methodological variation arising from the range shift estimation process as well as addressing existing functional, geographical, and phylogenetic biases. We provide a series of considerations for more effectively integrating traits as well as extrinsic and methodological factors into species redistribution research. Together, these analytical approaches promise stronger mechanistic and predictive understanding that can help society mitigate and adapt to the effects of climate change on biodiversity.
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Affiliation(s)
- Lise Comte
- School of Biological Sciences, Illinois State University, Normal, Illinois, USA
- Conservation Science Partners, Inc., Truckee, California, USA
| | - Romain Bertrand
- Centre de Recherche sur la Biodiversité et l'Environnement (CRBE UMR5300), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 Paul Sabatier (UT3), Toulouse, France
| | - Sarah Diamond
- Department of Biology, Case Western Reserve University, Cleveland, Ohio, USA
| | | | - Malin L Pinsky
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA
- Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California, USA
| | - Brett R Scheffers
- Department of Wildlife Ecology and Conservation, University of Florida, Gainesville, Florida, USA
| | - J Alex Baecher
- School of Natural Resources and Environment, University of Florida, Gainesville, Florida, USA
| | - R M W J Bandara
- Department of Ecology, Evolution, and Natural Resources, Rutgers University, New Brunswick, New Jersey, USA
| | - I-Ching Chen
- Department of Life Sciences, National Cheng Kung University, Tainan, Taiwan
| | - Jake A Lawlor
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Nikki A Moore
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Brunno F Oliveira
- Fondation pour la Recherche sur la Biodiversité (FRB), Centre de Synthèse et d'Analyse sur la Biodiversité (CESAB), Montpellier, France
| | - Jerome Murienne
- Centre de Recherche sur la Biodiversité et l'Environnement (CRBE UMR5300), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 Paul Sabatier (UT3), Toulouse, France
| | - Jonathan Rolland
- Centre de Recherche sur la Biodiversité et l'Environnement (CRBE UMR5300), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3 Paul Sabatier (UT3), Toulouse, France
| | - Madeleine A Rubenstein
- U.S. Geological Survey National Climate Adaptation Science Center, Reston, Virginia, USA
| | - Jennifer Sunday
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Laura M Thompson
- U.S. Geological Survey National Climate Adaptation Science Center, Reston, Virginia, USA
- School of Natural Resources, University of Tennessee, Knoxville, Tennessee, USA
| | - Fabricio Villalobos
- Red de Biología Evolutiva, Instituto de Ecología A.C. - INECOL, Veracruz, Mexico
| | - Sarah R Weiskopf
- U.S. Geological Survey National Climate Adaptation Science Center, Reston, Virginia, USA
| | - Jonathan Lenoir
- UMR CNRS 7058, Ecologie et Dynamique Des Systèmes Anthropisés (EDYSAN), Université de Picardie Jules Verne, Amiens, France
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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: 127] [Impact Index Per Article: 18.1] [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.
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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
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Malanson GP. Interactions and constraints in model species response to environmental heteroscedasticity. J Theor Biol 2017; 419:343-349. [PMID: 28223173 DOI: 10.1016/j.jtbi.2017.02.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Revised: 02/09/2017] [Accepted: 02/16/2017] [Indexed: 10/20/2022]
Abstract
Increasing environmental variability could exacerbate the effects of climate change on ecological processes such as population dynamics, or positive and negative effects (favorable or unfavorable weather) could balance. Such a balance could depend on constraints of the processes. Biological and spatial constraints are represented in a spatially explicit individual based simulation of an ecotone reduced to two species on a single environmental gradient. The effects of climate amelioration are simulated from a plant's-eye-view by increasing the establishment and decreasing the mortality rates. Variability is introduced as a random multiplier of these rates, and the strength of the variation is increased through the period of climate change. The biological constraints limit change in the rates, and the extent of the simulation grid represents a spatial constraint. A small increase in environmental variation, multiplied through time with climate change, increases extinction rates. The biological and spatial constraints have little effect on the response of populations. Instead, competition, based on the form of the species response functions to the environmental gradient at the point where they intersect, determines differences in population responses. Positive and negative variations in the environment do not balance because the responses are hierarchical and asymmetric. Differences persist because extinction during a negative anomaly cannot be reversed by a later positive one.
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Affiliation(s)
- George P Malanson
- Department of Geographical & Sustainability Sciences, University of Iowa, Iowa City, IA 52242 USA.
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Ramanantoanina A, Ouhinou A, Hui C. Spatial assortment of mixed propagules explains the acceleration of range expansion. PLoS One 2014; 9:e103409. [PMID: 25105414 PMCID: PMC4126666 DOI: 10.1371/journal.pone.0103409] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2014] [Accepted: 07/01/2014] [Indexed: 11/18/2022] Open
Abstract
Range expansion of spreading organisms has been found to follow three types: (i) linear expansion with a constant rate of spread; (ii) bi-phase expansion with a faster linear expansion following a slower linear expansion; and (iii) accelerating expansion with a continuously increasing rate of spread. To date, no overarching formula exists that can be applied to all three types of range expansion. We investigated how propagule pressure, i.e., the initial number of individuals and their composition in terms of dispersal ability, affects the spread of a population. A system of integrodifference equations was then used to model the spatiotemporal dynamics of the population. We studied the dynamics of dispersal ability as well as the instantaneous and asymptotic rate of spread. We found that individuals with different dispersal abilities were spatially sorted with the stronger dispersers situated at the expanding range front, causing the velocity of expansion to accelerate. The instantaneous rate of spread was found to be fully determined by the growth and dispersal abilities of the population at the advancing edge of the invasion. We derived a formula for the asymptotic rate of spread under different scenarios of propagule pressure. The results suggest that data collected from the core of the invasion may underestimate the spreading rate of the population. Aside from better managing of invasive species, the derived formula could conceivably also be applied to conservation management of relocated, endangered or extra-limital species.
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Affiliation(s)
- Andriamihaja Ramanantoanina
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, South Africa
- Mathematical and Physical Biosciences, African Institute for Mathematical Sciences, Muizenberg, South Africa
- * E-mail:
| | - Aziz Ouhinou
- Department of Mathematics, Faculty of Sciences and Technology, University of Sultan Moulay Slimane, Beni-Mellal, Morocco
| | - Cang Hui
- Centre for Invasion Biology, Department of Mathematical Sciences, Stellenbosch University, Matieland, South Africa
- Mathematical and Physical Biosciences, African Institute for Mathematical Sciences, Muizenberg, South Africa
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