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Reed TE, Kane A, McGinnity P, O'Sullivan RJ. Competitive interactions affect introgression and population viability amidst maladaptive hybridization. Evol Appl 2024; 17:e13746. [PMID: 38957310 PMCID: PMC11217556 DOI: 10.1111/eva.13746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 04/03/2024] [Accepted: 06/18/2024] [Indexed: 07/04/2024] Open
Abstract
The deliberate release of captive-bred individuals, the accidental escape of domesticated strains, or the invasion of closely related conspecifics into wild populations can all lead to introgressive hybridization, which poses a challenge for conservation and wildlife management. Rates of introgression and the magnitude of associated demographic impacts vary widely across ecological contexts. However, the reasons for this variation remain poorly understood. One rarely considered phenomenon in this context is soft selection, wherein relative trait values determine success in intraspecific competition for a limiting resource. Here we develop an eco-genetic model explicitly focussed on understanding the influence of such competitive interactions on the eco-evolutionary dynamics of wild populations experiencing an influx of foreign/domesticated individuals. The model is applicable to any taxon that experiences natural or human-mediated inputs of locally maladapted genotypes ('intrusion'), in addition to phenotype-dependent competition for a limiting resource (e.g. breeding sites, feeding territories). The effects of both acute and chronic intrusion depended strongly on the relative competitiveness of intruders versus locals. When intruders were competitively inferior, density-dependent regulation limited their reproductive success (ability to compete for limited spawning sites), which prevented strong introgression or population declines from occurring. In contrast, when intruders were competitively superior, this amplified introgression and led to increased maladaptation of the admixed population. This had negative consequences for population size and population viability. The results were sensitive to the intrusion level, the magnitude of reproductive excess, trait heritability and the extent to which intruders were maladapted relative to locals. Our findings draw attention to under-appreciated interactions between phenotype-dependent competitive interactions and maladaptive hybridization, which may be critical to determining the impact captive breeding programmes and domesticated escapees can have on otherwise self-sustaining wild populations.
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Affiliation(s)
- Thomas Eric Reed
- School of Biological, Earth and Environmental SciencesUniversity College CorkCorkIreland
- Environmental Research InstituteUniversity College CorkCorkIreland
| | - Adam Kane
- School of Biology and Environmental Science and Earth InstituteUniversity College DublinDublinIreland
| | - Philip McGinnity
- School of Biological, Earth and Environmental SciencesUniversity College CorkCorkIreland
- Environmental Research InstituteUniversity College CorkCorkIreland
- Marine Institute, Furnace, Newport, CoMayoIreland
| | - Ronan James O'Sullivan
- Human Diversity Consortium, Faculty of Physiology and Genetics, Department of BiologyUniversity of TurkuTurkuFinland
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2
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Rinaldo A, de Eyto E, Reed T, Gjelland KØ, McGinnity P. Global warming is projected to lead to increased freshwater growth potential and changes in pace of life in Atlantic salmon Salmo salar. JOURNAL OF FISH BIOLOGY 2024; 104:647-661. [PMID: 37907447 DOI: 10.1111/jfb.15603] [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: 09/08/2023] [Revised: 10/24/2023] [Accepted: 10/29/2023] [Indexed: 11/02/2023]
Abstract
Global warming has been implicated in widespread demographic changes in Atlantic salmon Salmo salar populations, but projections of life-history responses to future climate change are lacking. Here, we first exploit multiple decades of climate and biological data from the Burrishoole catchment in the west of Ireland to model statistical relationships between atmospheric variables, water temperature, and freshwater growth of juvenile Atlantic salmon. We then use this information to project potential changes in juvenile growth and life-history scheduling under three shared socioeconomic pathway and representative concentration pathway scenarios from 1961 to 2100, based on an ensemble of five climate models. Historical water temperatures were well predicted with a recurrent neural network, using observation-based atmospheric forcing data. Length-at-age was in turn also well predicted by cumulative growing degree days calculated from these water temperatures. Most juveniles in the Burrishoole population migrated to sea as 2-year-old smolts, but our future projections indicate that the system should start producing a greater proportion of 1-year-old smolts, as increasingly more juveniles cross a size-based threshold in their first summer for smoltification the following spring. Those failing to cross the size-based threshold will instead become 2-year-old smolts, but at a larger length relative to 2-year-old smolts observed currently, owing to greater overall freshwater growth opportunity. These changes in age- and size-at-seaward migration could have cascading effects on age- and size-at-maturity and reproductive output. Consequently, the seemingly small changes that our results demonstrate have the potential to cause significant shifts in population dynamics over the full life cycle. This workflow is highly applicable across the range of the Atlantic salmon, as well as to other anadromous species, as it uses openly accessible climate data and a length-at-age model with minimal input requirements, fostering improved general understanding of phenotypic and demographic responses to climate change and management implications.
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Affiliation(s)
- Adrian Rinaldo
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
- Fisheries Ecosystems Advisory Services, Marine Institute, Newport, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
| | - Elvira de Eyto
- Fisheries Ecosystems Advisory Services, Marine Institute, Newport, Ireland
| | - Thomas Reed
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
| | | | - Philip McGinnity
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland
- Environmental Research Institute, University College Cork, Cork, Ireland
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3
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Lamarins A, Fririon V, Folio D, Vernier C, Daupagne L, Labonne J, Buoro M, Lefèvre F, Piou C, Oddou‐Muratorio S. Importance of interindividual interactions in eco-evolutionary population dynamics: The rise of demo-genetic agent-based models. Evol Appl 2022; 15:1988-2001. [PMID: 36540635 PMCID: PMC9753837 DOI: 10.1111/eva.13508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 10/26/2022] [Accepted: 10/28/2022] [Indexed: 11/29/2022] Open
Abstract
The study of eco-evolutionary dynamics, that is of the intertwinning between ecological and evolutionary processes when they occur at comparable time scales, is of growing interest in the current context of global change. However, many eco-evolutionary studies overlook the role of interindividual interactions, which are hard to predict and yet central to selective values. Here, we aimed at putting forward models that simulate interindividual interactions in an eco-evolutionary framework: the demo-genetic agent-based models (DG-ABMs). Being demo-genetic, DG-ABMs consider the feedback loop between ecological and evolutionary processes. Being agent-based, DG-ABMs follow populations of interacting individuals with sets of traits that vary among the individuals. We argue that the ability of DG-ABMs to take into account the genetic heterogeneity-that affects individual decisions/traits related to local and instantaneous conditions-differentiates them from analytical models, another type of model largely used by evolutionary biologists to investigate eco-evolutionary feedback loops. Based on the review of studies employing DG-ABMs and explicitly or implicitly accounting for competitive, cooperative or reproductive interactions, we illustrate that DG-ABMs are particularly relevant for the exploration of fundamental, yet pressing, questions in evolutionary ecology across various levels of organization. By jointly modelling the effects of management practices and other eco-evolutionary processes on interindividual interactions and population dynamics, DG-ABMs are also effective prospective and decision support tools to evaluate the short- and long-term evolutionary costs and benefits of management strategies and to assess potential trade-offs. Finally, we provide a list of the recent practical advances of the ABM community that should facilitate the development of DG-ABMs.
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Affiliation(s)
- Amaïa Lamarins
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
- Management of Diadromous Fish in their Environment, OFB, INRAE, Institut AgroUniv Pau & Pays Adour/E2S UPPARennesFrance
| | - Victor Fririon
- INRAE, UR 629 Ecologie des Forêts Méditerranéennes, URFMAvignonFrance
| | - Dorinda Folio
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Camille Vernier
- CIRAD, UMR CBGP, INRAE, IRD, Montpellier SupAgroUniv. MontpellierMontpellierFrance
| | - Léa Daupagne
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Jacques Labonne
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - Mathieu Buoro
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
| | - François Lefèvre
- INRAE, UR 629 Ecologie des Forêts Méditerranéennes, URFMAvignonFrance
| | - Cyril Piou
- CIRAD, UMR CBGP, INRAE, IRD, Montpellier SupAgroUniv. MontpellierMontpellierFrance
| | - Sylvie Oddou‐Muratorio
- E2S UPPA, INRAE, ECOBIOPUniversité de Pau et des Pays de l'AdourSaint‐Pée‐sur‐NivelleFrance
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4
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Diouf EG, Brévault T, Ndiaye S, Faye E, Chailleux A, Diatta P, Piou C. An agent-based model to simulate the boosted Sterile Insect Technique for fruit fly management. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.109951] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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5
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Kane A, Ayllón D, O’Sullivan RJ, McGinnity P, Reed TE. Escalating the conflict? Intersex genetic correlations influence adaptation to environmental change in facultatively migratory populations. Evol Appl 2022; 15:773-789. [PMID: 35603024 PMCID: PMC9108303 DOI: 10.1111/eva.13368] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 02/11/2022] [Accepted: 02/17/2022] [Indexed: 11/28/2022] Open
Abstract
Males and females are often subject to different and even opposing selection pressures. When a given trait has a shared genetic basis between the sexes, sexual conflict (antagonism) can arise. This can result in significant individual-level fitness consequences that might also affect population performance, whilst anthropogenic environmental change can further exacerbate maladaptation in one or both sexes driven by sexual antagonism. Here, we develop a genetically explicit eco-evolutionary model using an agent-based framework to explore how a population of a facultatively migratory fish species (brown trout Salmo trutta) adapts to environmental change across a range of intersex genetic correlations for migration propensity, which influence the magnitude of sexual conflict. Our modelled focal trait represents a condition threshold governing whether individuals adopt a resident or anadromous (sea migration) tactic. Anadromy affords potential size-mediated reproductive advantages to both males and females due to improved feeding opportunities at sea, but these can be undermined by high background marine mortality and survival/growth costs imposed by marine parasites (sea lice). We show that migration tactic frequency for a given set of environmental conditions is strongly influenced by the intersex genetic correlation, such that one sex can be dragged off its optimum more than the other. When this occurred in females in our model, population productivity was substantially reduced, but eco-evolutionary outcomes were altered by allowing for sneaking behaviour in males. We discuss real-world implications of our work given that anadromous salmonids are regularly challenged by sea lice infestations, which might act synergistically with other stressors such as climate change or fishing that impact marine performance, driving populations towards residency and potentially reduced resilience.
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Affiliation(s)
- Adam Kane
- School of Biology and Environmental Science and Earth InstituteUniversity College DublinDublinIreland
| | - Daniel Ayllón
- Faculty of BiologyDepartment of Biodiversity, Ecology and EvolutionComplutense University of Madrid (UCM)MadridSpain
| | - Ronan James O’Sullivan
- Organismal and Evolutionary Biology Research ProgrammeFaculty of Biological and Environmental SciencesUniversity of HelsinkiHelsinkiFinland
- School of Biological, Earth and Environmental SciencesUniversity College CorkCorkIreland
- Environmental Research InstituteUniversity College CorkCorkIreland
| | - Philip McGinnity
- School of Biological, Earth and Environmental SciencesUniversity College CorkCorkIreland
- Environmental Research InstituteUniversity College CorkCorkIreland
- Marine InstituteFurnaceNewportIreland
| | - Thomas Eric Reed
- School of Biological, Earth and Environmental SciencesUniversity College CorkCorkIreland
- Environmental Research InstituteUniversity College CorkCorkIreland
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6
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Vollset KW. Parasite induced mortality is context dependent in Atlantic salmon: insights from an individual-based model. Sci Rep 2019; 9:17377. [PMID: 31758025 PMCID: PMC6874588 DOI: 10.1038/s41598-019-53871-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 11/04/2019] [Indexed: 11/09/2022] Open
Abstract
An individual-based model was parameterized to explore the impact of a crustacean ectoparasite (sea louse, Lepeophtheirus salmonis & Caligus spp.) on migrating Atlantic salmon smolt. The model explores how environmental and intrinsic factors can modulate the effect of sea lice on survival, growth and maturation of Atlantic salmon at sea. Relative to other effects, the parasite infestation pressure from fish farms and the encounter process emerge as the most important parameters. Although small variations in parasite-induced mortality may be masked by variable environmental effects, episodes of high infestation pressure from fish farms should be observable in wild populations of Atlantic salmon if laboratory studies accurately reflect the physiological effects of sea lice. Increases in temperature in the model negatively influenced fish survival by affecting the development time of the parasite at a rate that was not compensated for by the growth of the host. Discharge from rivers was parameterized to increase migration speed and influenced parasite induced mortality by decreasing time spent in areas with increased infestation pressure. Initial size and growth of the host was inversely related to the impact of the parasite because of size-dependent parasite-induced mortality in the early phase of migration. Overall, the model illustrates how environmental factors modulate effects on the host population by impacting either the parasite load or the relative effect of the parasite. The results suggest that linking population-level effects to parasite infestation pressure across climatic and environmental gradients may be challenging without correctly accounting for these effects.
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Affiliation(s)
- Knut Wiik Vollset
- NORCE Norwegian Research Centre, Laboratory for Freshwater ecology and Inland fisheries, Nygårdsporten 112, 5006, Bergen, Norway.
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7
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Aykanat T, Ozerov M, Vähä JP, Orell P, Niemelä E, Erkinaro J, Primmer CR. Co-inheritance of sea age at maturity and iteroparity in the Atlantic salmon vgll3 genomic region. J Evol Biol 2019; 32:343-355. [PMID: 30697850 DOI: 10.1101/412288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 12/03/2018] [Accepted: 01/24/2019] [Indexed: 05/25/2023]
Abstract
Co-inheritance in life-history traits may result in unpredictable evolutionary trajectories if not accounted for in life-history models. Iteroparity (the reproductive strategy of reproducing more than once) in Atlantic salmon (Salmo salar) is a fitness trait with substantial variation within and among populations. In the Teno River in northern Europe, iteroparous individuals constitute an important component of many populations and have experienced a sharp increase in abundance in the last 20 years, partly overlapping with a general decrease in age structure. The physiological basis of iteroparity bears similarities to that of age at first maturity, another life-history trait with substantial fitness effects in salmon. Sea age at maturity in Atlantic salmon is controlled by a major locus around the vgll3 gene, and we used this opportunity demonstrate that these two traits are co-inherited around this genome region. The odds ratio of survival until second reproduction was up to 2.4 (1.8-3.5 90% CI) times higher for fish with the early-maturing vgll3 genotype (EE) compared to fish with the late-maturing genotype (LL). The L allele was dominant in individuals remaining only one year at sea before maturation, but the dominance was reversed, with the E allele being dominant in individuals maturing after two or more years at sea. Post hoc analysis indicated that iteroparous fish with the EE genotype had accelerated growth prior to first reproduction compared to first-time spawners, across all age groups, whereas this effect was not detected in fish with the LL genotype. These results broaden the functional link around the vgll3 genome region and help us understand constraints in the evolution of life-history variation in salmon. Our results further highlight the need to account for genetic correlations between fitness traits when predicting demographic changes in changing environments.
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Affiliation(s)
- Tutku Aykanat
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
- Department of Biology, University of Turku, Turku, Finland
| | - Mikhail Ozerov
- Department of Biology, University of Turku, Turku, Finland
- Kevo Subarctic Research Institute, University of Turku, Turku, Finland
| | - Juha-Pekka Vähä
- Kevo Subarctic Research Institute, University of Turku, Turku, Finland
- Association for Water and Environment of Western Uusimaa, Lohja, Finland
| | - Panu Orell
- Natural Resources Institute Finland (Luke), Oulu, Finland
| | - Eero Niemelä
- Natural Resources Institute Finland (Luke), Oulu, Finland
| | | | - Craig R Primmer
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
- Institute of Biotechnology, University of Helsinki, Helsinki, Finland
- Helsinki Institute of Sustainability Science, University of Helsinki, Helsinki, Finland
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8
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Aykanat T, Ozerov M, Vähä J, Orell P, Niemelä E, Erkinaro J, Primmer CR. Co‐inheritance of sea age at maturity and iteroparity in the Atlantic salmonvgll3genomic region. J Evol Biol 2019; 32:343-355. [DOI: 10.1111/jeb.13418] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 12/03/2018] [Accepted: 01/24/2019] [Indexed: 01/16/2023]
Affiliation(s)
- Tutku Aykanat
- Organismal and Evolutionary Biology Research ProgrammeUniversity of Helsinki Helsinki Finland
- Department of BiologyUniversity of Turku Turku Finland
| | - Mikhail Ozerov
- Department of BiologyUniversity of Turku Turku Finland
- Kevo Subarctic Research InstituteUniversity of Turku Turku Finland
| | - Juha‐Pekka Vähä
- Kevo Subarctic Research InstituteUniversity of Turku Turku Finland
- Association for Water and Environment of Western Uusimaa Lohja Finland
| | - Panu Orell
- Natural Resources Institute Finland (Luke) Oulu Finland
| | - Eero Niemelä
- Natural Resources Institute Finland (Luke) Oulu Finland
| | | | - Craig R. Primmer
- Organismal and Evolutionary Biology Research ProgrammeUniversity of Helsinki Helsinki Finland
- Institute of BiotechnologyUniversity of Helsinki Helsinki Finland
- Helsinki Institute of Sustainability ScienceUniversity of Helsinki Helsinki Finland
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9
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Jager HI, DeAngelis DL. The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes. Ecol Modell 2018. [DOI: 10.1016/j.ecolmodel.2018.06.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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10
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Baggio RA, Araujo SB, Ayllón D, Boeger WA. Dams cause genetic homogenization in populations of fish that present homing behavior: Evidence from a demogenetic individual-based model. Ecol Modell 2018. [DOI: 10.1016/j.ecolmodel.2018.06.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
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11
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Castellani M, Heino M, Gilbey J, Araki H, Svåsand T, Glover KA. Modeling fitness changes in wild Atlantic salmon populations faced by spawning intrusion of domesticated escapees. Evol Appl 2018; 11:1010-1025. [PMID: 29928306 PMCID: PMC5999203 DOI: 10.1111/eva.12615] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2017] [Accepted: 02/11/2018] [Indexed: 12/17/2022] Open
Abstract
Genetic interaction between domesticated escapees and wild conspecifics represents a persistent challenge to an environmentally sustainable Atlantic salmon aquaculture industry. We used a recently developed eco-genetic model (IBSEM) to investigate potential changes in a wild salmon population subject to spawning intrusion from domesticated escapees. At low intrusion levels (5%-10% escapees), phenotypic and demographic characteristics of the recipient wild population only displayed weak changes over 50 years and only at high intrusion levels (30%-50% escapees) were clear changes visible in this period. Our modeling also revealed that genetic changes in phenotypic and demographic characteristics were greater in situations where strayers originating from a neighboring wild population were domestication-admixed and changed in parallel with the focal wild population, as opposed to nonadmixed. While recovery in the phenotypic and demographic characteristics was observed in many instances after domesticated salmon intrusion was halted, in the most extreme intrusion scenario, the population went extinct. Based upon results from these simulations, together with existing knowledge, we suggest that a combination of reduced spawning success of domesticated escapees, natural selection purging maladapted phenotypes/genotypes from the wild population, and phenotypic plasticity, buffer the rate and magnitude of change in phenotypic and demographic characteristics of wild populations subject to spawning intrusion of domesticated escapees. The results of our simulations also suggest that under specific conditions, natural straying among wild populations may buffer genetic changes in phenotypic and demographic characteristics resulting from introgression of domesticated escapees and that variation in straying in time and space may contribute to observed differences in domestication-driven introgression among native populations.
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Affiliation(s)
| | - Mikko Heino
- Department of Biological SciencesUniversity of BergenBergenNorway
- Institute of Marine ResearchBergenNorway
- International Institute for Applied Systems Analysis (IIASA)LaxenburgAustria
| | - John Gilbey
- Freshwater Fisheries LaboratoryMarine ScotlandPitlochryUK
| | - Hitoshi Araki
- Research Faculty of AgricultureHokkaido UniversitySapporoJapan
| | | | - Kevin A. Glover
- Department of Biological SciencesUniversity of BergenBergenNorway
- Institute of Marine ResearchBergenNorway
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12
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Susdorf R, Salama NKG, Lusseau D. Influence of body condition on the population dynamics of Atlantic salmon with consideration of the potential impact of sea lice. JOURNAL OF FISH DISEASES 2018; 41:941-951. [PMID: 29159959 DOI: 10.1111/jfd.12748] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/13/2017] [Revised: 06/16/2017] [Accepted: 09/19/2017] [Indexed: 06/07/2023]
Abstract
Atlantic salmon Salmo salar is an iconic species of high conservation and economic importance. At sea, individuals typically are subject to sea lice infestation, which can have detrimental effects on their host. Over recent decades, the body condition and marine survival in NE Atlantic stocks have generally decreased, reflected in fewer adults returning to rivers, which is partly attributable to sea lice. We developed a deterministic stage-structured population model to assess condition-mediated population dynamics resulting in changing fecundity, age at sexual maturation and marine survival rate. The model is parameterized using data from the North Esk system, north-east Scotland. Both constant and density-dependent juvenile survival rates are considered. We show that even small sea lice-mediated changes in mean body condition of MSW can cause substantial population declines, whereas 1SW condition is less influential. Density dependence alleviates the condition-mediated population effect. The resilience of the population to demographic perturbations declines as adult condition is reduced. Indirect demographic changes in salmonid life-history traits (e.g., body condition) are often considered unimportant for population trajectory. The model shows that Atlantic salmon population dynamics can be highly responsive to sea lice-mediated effects on adult body condition, thus highlighting the importance of non-lethal parasitic long-term effects.
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Affiliation(s)
- R Susdorf
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
- Marine Laboratory, Marine Scotland Science, Aberdeen, UK
| | - N K G Salama
- Marine Laboratory, Marine Scotland Science, Aberdeen, UK
| | - D Lusseau
- Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, UK
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13
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Fullerton AH, Burke BJ, Lawler JJ, Torgersen CE, Ebersole JL, Leibowitz SG. Simulated juvenile salmon growth and phenology respond to altered thermal regimes and stream network shape. Ecosphere 2017; 8:1-23. [PMID: 29552374 DOI: 10.1002/ecs2.2052] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
It is generally accepted that climate change will stress coldwater species like Pacific salmon. However, it is unclear what aspect of altered thermal regimes (e.g., warmer winters, springs, summers, or increased variability) will have the greatest effect, and what role the spatial properties of river networks play. Thermally diverse habitats may afford protection from climate change by providing opportunities for aquatic organisms to find and use habitats with optimal conditions for growth. We hypothesized that climate-altered thermal regimes will change growth and timing of life history events such as emergence or migration but that changes will be moderated in topologically complex stream networks where opportunities to thermoregulate are more readily available to mobile animals. Because climate change effects on populations are spatially variable and contingent upon physiological optima, assessments of risk must take a spatially explicit approach. We developed a spatially-structured individual based model for Chinook Salmon (Oncorhynchus tshawytscha) in which movement decisions and growth were governed by water temperature and conspecific density. We evaluated growth and phenology (timing of egg emergence and smolting) under a variety of thermal regimes (each having a different minimum, rate of warming, maximum, and variability) and in three network shapes of increasing spatial complexity. Across networks, fish generally grew faster and were capable of smolting earlier in warmer scenarios where water temperatures experienced by fish were closer to optimal; however, growth decreased for some fish. We found that salmon size and smolt date responded more strongly to warmer springs and summers than to warmer winters or increased variability. Fish in the least complex network grew faster and were ready to smolt earlier than fish in the more spatially complex network shapes in the contemporary thermal regime; patterns were similar but less clear in warmer thermal regimes. Our results demonstrate that network topology may influence how fish respond to thermal landscapes, and this information will be useful for incorporating a spatiotemporal context into conservation decisions that promote long-term viability of salmon in a changing climate.
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Affiliation(s)
- Aimee H Fullerton
- Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, 2725 Montlake Blvd E, Seattle WA, 98112, USA
| | - Brian J Burke
- Fish Ecology Division, Northwest Fisheries Science Center, National Marine Fisheries Service, NOAA, 2725 Montlake Blvd E, Seattle WA, 98112, USA
| | - Joshua J Lawler
- School of Environmental and Forest Sciences, University of Washington, Box 352100, Seattle, WA, 98195-2100, USA
| | - Christian E Torgersen
- U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Cascadia Field Station, University of Washington, Box 352100, Seattle, WA, 98195-2100, USA
| | - Joseph L Ebersole
- National Health and Environmental Effects Research Laboratory, Western Ecology Division, U.S. Environmental Protection Agency, 200 SW 35 St., Corvallis, OR, 97333, USA
| | - Scott G Leibowitz
- National Health and Environmental Effects Research Laboratory, Western Ecology Division, U.S. Environmental Protection Agency, 200 SW 35 St., Corvallis, OR, 97333, USA
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14
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Akimenko V, Anguelov R. Steady states and outbreaks of two-phase nonlinear age-structured model of population dynamics with discrete time delay. JOURNAL OF BIOLOGICAL DYNAMICS 2017; 11:75-101. [PMID: 27690755 DOI: 10.1080/17513758.2016.1236988] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In this paper we study the nonlinear age-structured model of a polycyclic two-phase population dynamics including delayed effect of population density growth on the mortality. Both phases are modelled as a system of initial boundary values problem for semi-linear transport equation with delay and initial problem for nonlinear delay ODE. The obtained system is studied both theoretically and numerically. Three different regimes of population dynamics for asymptotically stable states of autonomous systems are obtained in numerical experiments for the different initial values of population density. The quasi-periodical travelling wave solutions are studied numerically for the autonomous system with the different values of time delays and for the system with oscillating death rate and birth modulus. In both cases it is observed three types of travelling wave solutions: harmonic oscillations, pulse sequence and single pulse.
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Affiliation(s)
- Vitalii Akimenko
- a Faculty of Cybernetics , T.Shevchenko National University of Kyiv , Kyiv , Ukraine
| | - Roumen Anguelov
- b Department of Mathematics and Applied Mathematics , University of Pretoria , Pretoria , Republic of South Africa
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Kershaw F, Carvalho I, Loo J, Pomilla C, Best PB, Findlay KP, Cerchio S, Collins T, Engel MH, Minton G, Ersts P, Barendse J, Kotze PGH, Razafindrakoto Y, Ngouessono S, Meÿer M, Thornton M, Rosenbaum HC. Multiple processes drive genetic structure of humpback whale (Megaptera novaeangliae) populations across spatial scales. Mol Ecol 2017; 26:977-994. [DOI: 10.1111/mec.13943] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Revised: 10/01/2016] [Accepted: 11/16/2016] [Indexed: 01/01/2023]
Affiliation(s)
- Francine Kershaw
- Columbia University; 116th Street and Broadway New York NY 10027 USA
| | - Inês Carvalho
- Population and Conservation Genetics Group; Instituto Gulbenkian de Ciência; Rua da Quinta Grande, 6 2780-156 Oeiras Portugal
- Centre for Environmental and Marine Studies (CESAM); Universidade de Aveiro; Campus Universitário de Santiago 3810-193 Aveiro Portugal
| | - Jacqueline Loo
- Department of Biology; New York University; 100 Washington Square New York NY 10012 USA
| | - Cristina Pomilla
- Wellcome Trust Sanger Institute; Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SA UK
| | - Peter B. Best
- Mammal Research Institute; University of Pretoria; c/o Iziko South African Museum, P.O. Box 61 Cape Town 8000 South Africa
| | - Ken P. Findlay
- Mammal Research Institute; University of Pretoria; c/o Iziko South African Museum, P.O. Box 61 Cape Town 8000 South Africa
| | - Salvatore Cerchio
- Wildlife Conservation Society; Ocean Giants Program; 2300 Southern Blvd. Bronx NY 10460-1099 USA
| | - Tim Collins
- Wildlife Conservation Society; Ocean Giants Program; 2300 Southern Blvd. Bronx NY 10460-1099 USA
- Environment Society of Oman; P.O. Box 3955 PC 112 Ruwi Sultanate of Oman
| | - Marcia H. Engel
- Humpback Whale Project/Humpback Whale Institute; Rua Barão do Rio Branco, 125 Caravelas Bahia Brazil
| | - Gianna Minton
- Environment Society of Oman; P.O. Box 3955 PC 112 Ruwi Sultanate of Oman
| | - Peter Ersts
- Center for Biodiversity and Conservation; American Museum of Natural History; Central Park West at 79th Street New York NY 10024 USA
| | - Jaco Barendse
- Mammal Research Institute; University of Pretoria; c/o Iziko South African Museum, P.O. Box 61 Cape Town 8000 South Africa
| | - P. G. H. Kotze
- Department of Environmental Affairs; Branch Oceans and Coasts; Private Bag x2, Roggebaai 8012 Cape Town South Africa
| | - Yvette Razafindrakoto
- Wildlife Conservation Society-Madagascar Program; 2300 Southern Blvd. Bronx NY 10460-1099 USA
| | - Solange Ngouessono
- Agence Nationale des Parcs Nationaux; Batterie 4 BP 20379 Libreville Gabon
| | - Michael Meÿer
- Department of Environmental Affairs; Branch Oceans and Coasts; Private Bag x2, Roggebaai 8012 Cape Town South Africa
| | - Meredith Thornton
- Mammal Research Institute; University of Pretoria; c/o Iziko South African Museum, P.O. Box 61 Cape Town 8000 South Africa
| | - Howard C. Rosenbaum
- Wildlife Conservation Society; Ocean Giants Program; 2300 Southern Blvd. Bronx NY 10460-1099 USA
- Sackler Institute for Comparative Genomics; American Museum of Natural History; Central Park West at 79th Street New York NY 10024 USA
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Roles of density-dependent growth and life history evolution in accounting for fisheries-induced trait changes. Proc Natl Acad Sci U S A 2016; 113:15030-15035. [PMID: 27940913 DOI: 10.1073/pnas.1525749113] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
The relative roles of density dependence and life history evolution in contributing to rapid fisheries-induced trait changes remain debated. In the 1930s, northeast Arctic cod (Gadus morhua), currently the world's largest cod stock, experienced a shift from a traditional spawning-ground fishery to an industrial trawl fishery with elevated exploitation in the stock's feeding grounds. Since then, age and length at maturation have declined dramatically, a trend paralleled in other exploited stocks worldwide. These trends can be explained by demographic truncation of the population's age structure, phenotypic plasticity in maturation arising through density-dependent growth, fisheries-induced evolution favoring faster-growing or earlier-maturing fish, or a combination of these processes. Here, we use a multitrait eco-evolutionary model to assess the capacity of these processes to reproduce 74 y of historical data on age and length at maturation in northeast Arctic cod, while mimicking the stock's historical harvesting regime. Our results show that model predictions critically depend on the assumed density dependence of growth: when this is weak, life history evolution might be necessary to prevent stock collapse, whereas when a stronger density dependence estimated from recent data is used, the role of evolution in explaining fisheries-induced trait changes is diminished. Our integrative analysis of density-dependent growth, multitrait evolution, and stock-specific time series data underscores the importance of jointly considering evolutionary and ecological processes, enabling a more comprehensive perspective on empirically observed stock dynamics than previous studies could provide.
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Sexual selection leads to a tenfold difference in reproductive success of alternative reproductive tactics in male Atlantic salmon. Naturwissenschaften 2016; 103:47. [PMID: 27216174 DOI: 10.1007/s00114-016-1372-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 05/09/2016] [Accepted: 05/11/2016] [Indexed: 10/21/2022]
Abstract
The precocious maturation of some male Atlantic salmon (Salmo salar L.) has become a textbook example of alternative mating tactics, but the only estimates of reproductive success available so far are either the collective contribution of precocious males to reproduction in the wild or individual reproductive success in oversimplified experimental conditions. Using genetic parentage analysis on anadromous and precocious potential spawners and their offspring, we quantified components of individual reproductive success of both tactics in a natural population. On average, precocious males produced 2.24 (variance 67.62) offspring, against 27.17 (3080) for anadromous males. For both tactics, most of the variance in reproductive success was due to mating success, with 83% of precocious males having no mate, against 50% for anadromous males. Body size increased reproductive success of anadromous males and tended to decrease precocious males' reproductive success. Although these results do not solve the coexistence of alternative reproductive tactics (ARTs) in Atlantic salmon, their inclusion in comprehensive models of lifetime reproductive success should shed light on the evolution of precocious maturation in Atlantic salmon and its effect on the selection of phenotypic traits.
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Strong Effects of Temperature on the Early Life Stages of a Cold Stenothermal Fish Species, Brown Trout (Salmo trutta L.). PLoS One 2016; 11:e0155487. [PMID: 27170996 PMCID: PMC4865038 DOI: 10.1371/journal.pone.0155487] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2015] [Accepted: 04/29/2016] [Indexed: 11/19/2022] Open
Abstract
Temperature is the main abiotic factor that influences the life cycle of poikilotherms. The present study investigated the thermal tolerance and phenotypic plasticity of several parameters (development time, morphometric measures, bioenergetics) for both embryos and fry of a cold stenothermal fish species, brown trout (Salmo trutta L.) in order to allow for a holistic evaluation of the potential effects of temperature. Five temperatures (4°C, 6°C, 8°C, 10°C, and 12°C) were tested, and the effects of temperature were analyzed at three stages: hatching, emergence, and first food intake. A mean of 5,440 (S.E. ± 573) eggs, coming from seven females and seven males (seven families) captured close to Linkebeek (Belgium), were used for each temperature. Maximum survival of well-formed fry at first food intake and better use of energy budget were found at 6°C and 8°C, temperatures at which the possible contribution to the next generation should therefore be greatest. At 12°C, the experimental population fell dramatically (0.9% survival rate for well-formed fry at first food intake), and fry had almost no yolk sac at first food intake. The present results on survival at 12°C are in accordance with predictions of a sharp decrease in brown trout numbers in France over the coming decades according to climate change projections (1°C to 5°C temperature rise by 2100 for France). At 10°C, there was also a lower survival rate (55.4% at first food intake). At 4°C, the survival rate was high (76.4% at first food intake), but the deformity rate was much higher (22% at first food intake) than at 6°C, 8°C, and 10°C. The energetic budget showed that at the two extreme temperatures (4°C and 12°C) there was less energy left in the yolk sac at first food intake, suggesting a limited ability to survive starvation.
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Ayllón D, Railsback SF, Vincenzi S, Groeneveld J, Almodóvar A, Grimm V. InSTREAM-Gen: Modelling eco-evolutionary dynamics of trout populations under anthropogenic environmental change. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2015.07.026] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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20
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Grimm V, Berger U. Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue. Ecol Modell 2016. [DOI: 10.1016/j.ecolmodel.2016.01.001] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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21
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Castellani M, Heino M, Gilbey J, Araki H, Svåsand T, Glover KA. IBSEM: An Individual-Based Atlantic Salmon Population Model. PLoS One 2015; 10:e0138444. [PMID: 26383256 PMCID: PMC4575158 DOI: 10.1371/journal.pone.0138444] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2014] [Accepted: 08/31/2015] [Indexed: 11/22/2022] Open
Abstract
Ecology and genetics can influence the fate of individuals and populations in multiple ways. However, to date, few studies consider them when modelling the evolutionary trajectory of populations faced with admixture with non-local populations. For the Atlantic salmon, a model incorporating these elements is urgently needed because many populations are challenged with gene-flow from non-local and domesticated conspecifics. We developed an Individual-Based Salmon Eco-genetic Model (IBSEM) to simulate the demographic and population genetic change of an Atlantic salmon population through its entire life-cycle. Processes such as growth, mortality, and maturation are simulated through stochastic procedures, which take into account environmental variables as well as the genotype of the individuals. IBSEM is based upon detailed empirical data from salmon biology, and parameterized to reproduce the environmental conditions and the characteristics of a wild population inhabiting a Norwegian river. Simulations demonstrated that the model consistently and reliably reproduces the characteristics of the population. Moreover, in absence of farmed escapees, the modelled populations reach an evolutionary equilibrium that is similar to our definition of a ‘wild’ genotype. We assessed the sensitivity of the model in the face of assumptions made on the fitness differences between farm and wild salmon, and evaluated the role of straying as a buffering mechanism against the intrusion of farm genes into wild populations. These results demonstrate that IBSEM is able to capture the evolutionary forces shaping the life history of wild salmon and is therefore able to model the response of populations under environmental and genetic stressors.
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Affiliation(s)
- Marco Castellani
- Institute of Marine Research, P.O. Box 1870, Nordnes, N-5817, Bergen, Norway
- School of Mechanical Engineering, University of Birmingham, B15 2TT, Birmingham, United Kingdom
- * E-mail: (MC); (KG)
| | - Mikko Heino
- Institute of Marine Research, P.O. Box 1870, Nordnes, N-5817, Bergen, Norway
- Department of Biology, University of Bergen, Bergen, Norway
- International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria
| | - John Gilbey
- Marine Scotland Science, Freshwater Laboratory, Faskally, Pitlochry, PH16 5LB, Scotland, United Kingdom
| | - Hitoshi Araki
- Research Faculty of Agriculture, Hokkaido University, Sapporo, 060–8589, Japan
| | - Terje Svåsand
- Institute of Marine Research, P.O. Box 1870, Nordnes, N-5817, Bergen, Norway
| | - Kevin A. Glover
- Institute of Marine Research, P.O. Box 1870, Nordnes, N-5817, Bergen, Norway
- Department of Biology, University of Bergen, Bergen, Norway
- * E-mail: (MC); (KG)
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22
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Piou C, Taylor MH, Papaïx J, Prévost E. Modelling the interactive effects of selective fishing and environmental change on Atlantic salmon demogenetics. J Appl Ecol 2015. [DOI: 10.1111/1365-2664.12512] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Cyril Piou
- INRA; UMR 1224 ECOBIOP; Aquapôle; Quartier Ibarron 64310 Saint-Pée-sur-Nivelle France
- UMR 1224 ECOBIOP; University Pau & Pays Adour; UFR Côte Basque; Allée du parc Montaury 64600 Anglet France
- CIRAD; UMR CBGP; F-34398 Montpellier France
| | - Marc H. Taylor
- Leibniz Center for Tropical Marine Ecology; Bremen Germany
| | - Julien Papaïx
- INRA; UMR 1224 ECOBIOP; Aquapôle; Quartier Ibarron 64310 Saint-Pée-sur-Nivelle France
- UMR 1224 ECOBIOP; University Pau & Pays Adour; UFR Côte Basque; Allée du parc Montaury 64600 Anglet France
- INRA; UR 1290 BIOGER-CPP; Avenue Lucien Brétignières 78850 Thiverval-Grignon France
- INRA; UR 341 MIAJ; Domaine de Vilvert 78352 Jouy-en-Josas France
- CNRS; UMR 5175 CEFE; 1919 route de Mende 34293 Montpellier 5 France
| | - Etienne Prévost
- INRA; UMR 1224 ECOBIOP; Aquapôle; Quartier Ibarron 64310 Saint-Pée-sur-Nivelle France
- UMR 1224 ECOBIOP; University Pau & Pays Adour; UFR Côte Basque; Allée du parc Montaury 64600 Anglet France
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Pierson JC, Beissinger SR, Bragg JG, Coates DJ, Oostermeijer JGB, Sunnucks P, Schumaker NH, Trotter MV, Young AG. Incorporating evolutionary processes into population viability models. CONSERVATION BIOLOGY : THE JOURNAL OF THE SOCIETY FOR CONSERVATION BIOLOGY 2015; 29:755-764. [PMID: 25494697 DOI: 10.1111/cobi.12431] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2014] [Accepted: 09/03/2014] [Indexed: 06/04/2023]
Abstract
We examined how ecological and evolutionary (eco-evo) processes in population dynamics could be better integrated into population viability analysis (PVA). Complementary advances in computation and population genomics can be combined into an eco-evo PVA to offer powerful new approaches to understand the influence of evolutionary processes on population persistence. We developed the mechanistic basis of an eco-evo PVA using individual-based models with individual-level genotype tracking and dynamic genotype-phenotype mapping to model emergent population-level effects, such as local adaptation and genetic rescue. We then outline how genomics can allow or improve parameter estimation for PVA models by providing genotypic information at large numbers of loci for neutral and functional genome regions. As climate change and other threatening processes increase in rate and scale, eco-evo PVAs will become essential research tools to evaluate the effects of adaptive potential, evolutionary rescue, and locally adapted traits on persistence.
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Affiliation(s)
| | - Steven R Beissinger
- Department of Environmental Science, Policy and Management, and Museum of Vertebrate Zoology, UC Berkeley, Berkeley, CA, 94720, U.S.A
| | - Jason G Bragg
- Research School of Biology, The Australian National University, Canberra, ACT, 0200, Australia
| | - David J Coates
- Plant Science and Herbarium Program, Department of Parks and Wildlife, Locked Bag 104, Bentley Delivery Centre, Bentley, WA, 6983, Australia
| | - J Gerard B Oostermeijer
- Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul Sunnucks
- School of Biological Sciences, Monash University, VIC, 3800, Australia
| | - Nathan H Schumaker
- Western Ecology Division, Environmental Protection Agency, Corvallis, OR, 97333, U.S.A
| | | | - Andrew G Young
- CSIRO Plant Industry, P.O. Box 1600, Canberra, ACT, 2601, Australia
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Goto D, Hamel MJ, Hammen JJ, Rugg ML, Pegg MA, Forbes VE. Spatiotemporal variation in flow-dependent recruitment of long-lived riverine fish: Model development and evaluation. Ecol Modell 2015. [DOI: 10.1016/j.ecolmodel.2014.10.026] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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Fordham DA, Brook BW, Moritz C, Nogués-Bravo D. Better forecasts of range dynamics using genetic data. Trends Ecol Evol 2014; 29:436-43. [DOI: 10.1016/j.tree.2014.05.007] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2013] [Revised: 05/17/2014] [Accepted: 05/19/2014] [Indexed: 10/25/2022]
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26
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Rougier T, Drouineau H, Dumoulin N, Faure T, Deffuant G, Rochard E, Lambert P. The GR3D model, a tool to explore the Global Repositioning Dynamics of Diadromous fish Distribution. Ecol Modell 2014. [DOI: 10.1016/j.ecolmodel.2014.03.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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27
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Meineri E, Deville AS, Grémillet D, Gauthier-Clerc M, Béchet A. Combining correlative and mechanistic habitat suitability models to improve ecological compensation. Biol Rev Camb Philos Soc 2014; 90:314-29. [PMID: 24837691 DOI: 10.1111/brv.12111] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2013] [Revised: 04/09/2014] [Accepted: 04/15/2014] [Indexed: 12/29/2022]
Abstract
Only a few studies have shown positive impacts of ecological compensation on species dynamics affected by human activities. We argue that this is due to inappropriate methods used to forecast required compensation in environmental impact assessments. These assessments are mostly descriptive and only valid at limited spatial and temporal scales. However, habitat suitability models developed to predict the impacts of environmental changes on potential species' distributions should provide rigorous science-based tools for compensation planning. Here we describe the two main classes of predictive models: correlative models and individual-based mechanistic models. We show how these models can be used alone or synoptically to improve compensation planning. While correlative models are easier to implement, they tend to ignore underlying ecological processes and lack accuracy. On the contrary, individual-based mechanistic models can integrate biological interactions, dispersal ability and adaptation. Moreover, among mechanistic models, those considering animal energy balance are particularly efficient at predicting the impact of foraging habitat loss. However, mechanistic models require more field data compared to correlative models. Hence we present two approaches which combine both methods for compensation planning, especially in relation to the spatial scale considered. We show how the availability of biological databases and software enabling fast and accurate population projections could be advantageously used to assess ecological compensation requirement efficiently in environmental impact assessments.
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Affiliation(s)
- Eric Meineri
- Centre de recherche de la Tour du Valat, Le Sambuc, 13200, Arles, France; Department of Ecology, Environment and Plant Sciences, Stockholm University, Lilla Frescati, SE-10691, Stockholm, Sweden
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29
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Radchuk V, Johst K, Groeneveld J, Grimm V, Schtickzelle N. Behind the scenes of population viability modeling: Predicting butterfly metapopulation dynamics under climate change. Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2013.03.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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30
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Piou C, Prévost E. Contrasting effects of climate change in continental vs. oceanic environments on population persistence and microevolution of Atlantic salmon. GLOBAL CHANGE BIOLOGY 2013; 19:711-723. [PMID: 23504829 DOI: 10.1111/gcb.12085] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2012] [Revised: 10/24/2012] [Accepted: 10/30/2012] [Indexed: 06/01/2023]
Abstract
Facing climate change (CC), species are prone to multiple modifications in their environment that can lead to extinction, migration or adaptation. Identifying the role and interplay of different potential stressors becomes a key question. Anadromous fishes will be exposed to both river and oceanic habitat changes. For Atlantic salmon, the river water temperature, river flow and oceanic growth conditions appear as three main stressing factors. They could act on population dynamics or as selective forces on life-history pathways. Using an individual-based demo-genetic model, we assessed the effects of these factors (1) to compare risks of extinction resulting from CC in river and ocean, and (2) to assess CC effects on life-history pathways including the evolution of underlying genetic control of phenotypic plasticity. We focused on Atlantic salmon populations from Southern Europe for a time horizon of three decades. We showed that CC in river alone should not lead to extinction of Southern European salmon populations. In contrast, the reduced oceanic growth appeared as a significant threat for population persistence. An increase in river flow amplitude increased the risk of local extinction in synergy with the oceanic effects, but river temperature rise reduced this risk. In terms of life-history modifications, the reduced oceanic growth increased the age of return of individuals through plastic and genetic responses. The river temperature rise increased the proportion of sexually mature parr, but the genetic evolution of the maturation threshold lowered the maturation rate of male parr. This was identified as a case of environmentally driven plastic response that masked an underlying evolutionary response of plasticity going in the opposite direction. We concluded that to counteract oceanic effects, river flow management represented the sole potential force to reduce the extinction probability of Atlantic salmon populations in Southern Europe, although this might not impede changes in migration life history.
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Affiliation(s)
- Cyril Piou
- INRA, UMR 1224 ECOBIOP, Aquapôle, Quartier Ibarron, Saint-Pée sur Nivelle, 64310, France.
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31
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Frank BM, Baret PV. Simulating brown trout demogenetics in a river/nursery brook system: The individual-based model DemGenTrout. Ecol Modell 2013. [DOI: 10.1016/j.ecolmodel.2012.09.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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