Search Results - "Kuparinen, Anna"

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  1. 1

    Assessing abundance of populations with limited data: Lessons learned from data-poor fisheries stock assessment by Chrysafi, Anna, Kuparinen, Anna

    Published in Environmental reviews (01-03-2016)
    “…Estimation of population abundances in the absence of good observational data are notoriously difficult, yet urgently needed for biodiversity conservation and…”
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  2. 2

    Marine food web perspective to fisheries‐induced evolution by Hočevar, Sara, Kuparinen, Anna

    Published in Evolutionary applications (01-10-2021)
    “…Fisheries exploitation can cause genetic changes in heritable traits of targeted stocks. The direction of selective pressure forced by harvest acts typically…”
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  3. 3

    Eco‐evolutionary dynamics driven by fishing: From single species models to dynamic evolution within complex food webs by Perälä, Tommi, Kuparinen, Anna

    Published in Evolutionary applications (01-12-2020)
    “…Evidence of contemporary evolution across ecological time scales stimulated research on the eco‐evolutionary dynamics of natural populations. Aquatic systems…”
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  4. 4

    Consequences of fisheries-induced evolution for population productivity and recovery potential by Kuparinen, Anna, Hutchings, Jeffrey A

    “…Fisheries-induced evolution has become a major branch of the research on anthropogenic and contemporary evolution. Within the conservation context,…”
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  5. 5

    Long-distance gene flow and adaptation of forest trees to rapid climate change by Kremer, Antoine, Ronce, Ophélie, Robledo-Arnuncio, Juan J., Guillaume, Frédéric, Bohrer, Gil, Nathan, Ran, Bridle, Jon R., Gomulkiewicz, Richard, Klein, Etienne K., Ritland, Kermit, Kuparinen, Anna, Gerber, Sophie, Schueler, Silvio

    Published in Ecology letters (01-04-2012)
    “…Ecology Letters (2012) 15: 378–392 Forest trees are the dominant species in many parts of the world and predicting how they might respond to climate change is…”
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  6. 6

    A matter of dispersal: REVEALSinR introduces state-of-the-art dispersal models to quantitative vegetation reconstruction by Theuerkauf, Martin, Couwenberg, John, Kuparinen, Anna, Liebscher, Volkmar

    Published in Vegetation history and archaeobotany (01-11-2016)
    “…The REVEALS model is applied in quantitative vegetation reconstruction to translate pollen percentage data from large lakes and peatlands into regional…”
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  7. 7

    A modified niche model for generating food webs with stage‐structured consumers: The stabilizing effects of life‐history stages on complex food webs by Nonaka, Etsuko, Kuparinen, Anna

    Published in Ecology and evolution (01-05-2021)
    “…Almost all organisms grow in size during their lifetime and switch diets, trophic positions, and interacting partners as they grow. Such ontogenetic…”
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  8. 8

    Consequences of Single-Locus and Tightly Linked Genomic Architectures for Evolutionary Responses to Environmental Change by Oomen, Rebekah A, Kuparinen, Anna, Hutchings, Jeffrey A

    Published in The Journal of heredity (12-08-2020)
    “…Abstract Genetic and genomic architectures of traits under selection are key factors influencing evolutionary responses. Yet, knowledge of their impacts has…”
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  9. 9

    Ecological consequences of body size decline in harvested fish species: positive feedback loops in trophic interactions amplify human impact by Audzijonyte, Asta, Kuparinen, Anna, Gorton, Rebecca, Fulton, Elizabeth A.

    Published in Biology letters (2005) (23-04-2013)
    “…Humans are changing marine ecosystems worldwide, both directly through fishing and indirectly through climate change. One of the little explored outcomes of…”
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  10. 10

    Multiple‐batch spawning as a bet‐hedging strategy in highly stochastic environments: An exploratory analysis of Atlantic cod by Hočevar, Sara, Hutchings, Jeffrey A., Kuparinen, Anna

    Published in Evolutionary applications (01-08-2021)
    “…Stochastic environments shape life‐history traits and can promote selection for risk‐spreading strategies, such as bet‐hedging. Although the strategy has often…”
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  11. 11

    Mutually exclusive feeding yields Holling type III functional response by Lehtinen, Sami O., Perälä, Tommi A., Uusi‐Heikkilä, Silva K., Kuparinen, Anna K.

    Published in Functional ecology (01-02-2024)
    “…Many generalist predators, including fish, insects and mammals, temporarily focus on their search behaviour and can switch between prey species. Flexible and…”
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  12. 12

    Increased mortality can promote evolutionary adaptation of forest trees to climate change by Kuparinen, Anna, Savolainen, Outi, Schurr, Frank M.

    Published in Forest ecology and management (20-02-2010)
    “…Forecasts of rapid climate change raise the question how quickly species can evolutionarily adapt to future climates. The adaptability of forest trees to…”
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  13. 13

    Pollen productivity estimates strongly depend on assumed pollen dispersal by Theuerkauf, Martin, Kuparinen, Anna, Joosten, Hans

    Published in Holocene (Sevenoaks) (01-01-2013)
    “…Past plant abundance may be reconstructed from pollen data if dispersal distances of pollen and pollen productivities of each taxon are known. Using surface…”
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  14. 14

    Effects of temporal abiotic drivers on the dynamics of an allometric trophic network model by Eloranta, Antti P., Perälä, Tommi, Kuparinen, Anna

    Published in Ecology and evolution (01-03-2023)
    “…Current ecological research and ecosystem management call for improved understanding of the abiotic drivers of community dynamics, including temperature…”
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  15. 15

    Can regime shifts in reproduction be explained by changing climate and food availability? by Tirronen, Maria, Depestele, Jochen, Kuparinen, Anna

    Published in Frontiers in Marine Science (11-10-2023)
    “…Marine populations often show considerable variation in their productivity, including regime shifts. Of special interest are prolonged shifts to low…”
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  16. 16

    Increased environmentally driven recruitment variability decreases resilience to fishing and increases uncertainty of recovery by Kuparinen, Anna, Keith, David M., Hutchings, Jeffrey A.

    Published in ICES journal of marine science (01-09-2014)
    “…Abstract Independent of the effects of spawning-stock biomass (SSB), environmental variability in juvenile production, driven by factors such as temperature…”
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  17. 17

    Salmon lice in the Pacific Ocean show evidence of evolved resistance to parasiticide treatment by Godwin, Sean C., Bateman, Andrew W., Kuparinen, Anna, Johnson, Rick, Powell, John, Speck, Kelly, Hutchings, Jeffrey A.

    Published in Scientific reports (28-03-2022)
    “…Parasitic salmon lice ( Lepeophtheirus salmonis ) threaten the economic and ecological sustainability of salmon farming, and their evolved resistance to…”
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  18. 18

    The evolutionary legacy of size‐selective harvesting extends from genes to populations by Uusi‐Heikkilä, Silva, Whiteley, Andrew R., Kuparinen, Anna, Matsumura, Shuichi, Venturelli, Paul A., Wolter, Christian, Slate, Jon, Primmer, Craig R., Meinelt, Thomas, Killen, Shaun S., Bierbach, David, Polverino, Giovanni, Ludwig, Arne, Arlinghaus, Robert

    Published in Evolutionary applications (01-07-2015)
    “…Size‐selective harvesting is assumed to alter life histories of exploited fish populations, thereby negatively affecting population productivity, recovery, and…”
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  19. 19

    Fish with slow life‐history cope better with chronic manganese exposure than fish with fast life‐history by Uusi‐Heikkilä, Silva, Salonen, Jouni K., Karjalainen, Juha S., Väisänen, Ari, Hippeläinen, Johanna, Hämärvuo, Teemu, Kuparinen, Anna

    Published in Ecology and evolution (01-08-2024)
    “…Animals with different life‐history types vary in their stress‐coping styles, which can affect their fitness and survival in changing environments. We studied…”
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  20. 20

    Increases in air temperature can promote wind-driven dispersal and spread of plants by Kuparinen, Anna, Katul, Gabriel, Nathan, Ran, Schurr, Frank M.

    “…Long-distance dispersal (LDD) of seeds and pollen shapes the spatial dynamics of plant genotypes, populations and communities. Quantifying LDD is thus…”
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