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  • 1
    Online-Ressource
    Online-Ressource
    Oxford :Oxford University Press, Incorporated,
    Schlagwort(e): Animals -- Dispersal. ; Plants -- Dispersal. ; Evolution (Biology). ; Electronic books.
    Beschreibung / Inhaltsverzeichnis: Provides a timely and wide-ranging overview of the fast expanding field of dispersal ecology, incorporating the very latest research. The causes, mechanisms, and consequences of dispersal at the individual, population, species, and community levels are considered.
    Materialart: Online-Ressource
    Seiten: 1 online resource (497 pages)
    Ausgabe: 1st ed.
    ISBN: 9780191640353
    DDC: 576.8
    Sprache: Englisch
    Anmerkung: Cover -- Contents -- Preface -- Acknowledgements -- Glossary -- List of contributors -- Case study I: the common lizard (Zootoca vivipara , anciently Lacerta vivipara)-a model system for the study of the causes, mechanisms, and consequences of dispersal -- Case study II: spiders as a model in dispersal ecology and evolution -- Case study III: spatial structure and dynamics in the Glanville fritillary (Melitaea cinxia) metapopulation -- Case study IV: heterocarpy in Crepis sancta (Asteraceae) as a model system to study dispersal -- Part I: The Multiple Causes of the Dispersal Process -- 1 Multicausality of dispersal: a review -- 1.1 Introduction -- 1.2 Multicausality in dispersal -- 1.3 Causation at the individual level: genetics and development -- 1.4 Causation at the level of environment -- 1.5 Conclusions and perspectives -- 2 The theory of dispersal under multiple influences -- 2.1 Introduction -- 2.2 Dispersal and its consequences: a feedback loop -- 2.3 Ultimate and proximate factors in explaining dispersal -- 2.4 Proximate factors -- 2.5 Ultimate factors -- 2.6 Dispersal homeostasis -- 2.7 Summary -- 3 Multi-determinism in natal dispersal: the common lizard as a model system -- 3.1 Introduction -- 3.2 The common lizard as a model system -- 3.3 General observational and experimental procedures -- 3.4 Proximate factors of natal dispersal: main effects -- 3.5 Combined effects of proximate factors -- 3.6 Synthesis: an informed base theory of factors integration -- 4 Dispersal in invertebrates: influences on individual decisions -- 4.1 Introduction -- 4.2 Environmental- or context-dependent factors influencing dispersal -- 4.3 Stage- and sex-dependent influences on dispersal -- 4.4 An individual's size or physiological 'condition' can influence dispersal -- 4.5 Dispersal decisions are influenced by dispersal phenotypes -- 4.6 Conclusions. , 5 Integrating context- and stage-dependent effects in studies of frugivorous seed dispersal: an example from south-east Kenya -- 5.1 Introduction -- 5.2 Seed dispersal of Xymalos monospora in the Taita Hills: a case study -- 5.3 Conclusions and future directions -- Part II: The Genetics of Dispersal -- 6 Quantitative, physiological, and molecular genetics of dispersal/migration -- 6.1 Introduction and overview -- 6.2 Background: traits studied and methods of analysis -- 6.3 Genetic analysis of dispersal traits -- 6.4 Summary, synthesis, and future directions -- 7 Evolution of genetically integrated dispersal strategies -- 7.1 Spatio-temporally varying environments and the evolution of dispersal -- 7.2 Setting the stage for environment-independent expression of dispersal -- 7.3 Correlational selection for phenotype-dependent dispersal -- 7.4 Ecological context for evolution of distinct dispersal strategies in western bluebirds -- 7.5 Proximate basis of distinct dispersal strategies: reconciling genetic variation and maternal effects -- 7.6 Concluding remarks -- 8 Dispersal genetics: emerging insights from fruitflies, butterflies, and beyond -- 8.1 Introduction -- 8.2 Functional genomic insights into locomotion -- 8.3 Conclusions -- 9 Genetics of plant dispersal -- 9.1 Introduction -- 9.2 Using phylogenetics to interpret evolutionary patterns in dispersal -- 9.3 Gene phylogenies: gene duplication and functional divergence -- 9.4 Conservation of the molecular-genetic components of fruit development -- 9.5 Changes in gene expression as potential causes of variation in dispersal -- 9.6 Techniques to determine underlying genetic mechanisms -- 9.7 Conclusions and future research -- Part III: The Association of Dispersal with Other Life-history Traits -- 10 Dispersal syndromes -- 10.1 Introduction -- 10.2 Observed patterns of covariation. , 10.3 Causes of covariation -- 10.4 Consequences of covariation -- 10.5 Conclusions -- 11 Evolution of condition-dependent dispersal -- 11.1 Introduction -- 11.2 Outline of models -- 11.3 Model 1: evolutionarily stable dispersal strategies -- 11.4 Model 2: co-evolution of dispersal and offspring size-number strategies -- 11.5 Conclusions -- 11.6 Further directions -- 12 Dispersal syndromes in the common lizard: personality traits, information use, and context-dependent dispersal decisions -- 12.1 Introduction -- 12.2 Context-dependent dispersal syndrome -- 12.3 Dispersal syndromes, habitat preferences, and information use -- 12.4 Conclusion: dispersal syndrome and the dynamics of spatially structured population -- 12.5 Final remark -- 13 Dispersal syndromes in butterflies and spiders -- 13.1 Introduction -- 13.2 Dispersal syndromes among populations: the Glanville fritillary system as an example of butterfly with a colonizer syndrome -- 13.3 Dispersal syndromes within populations: dispersal reaction norms and syndromes in spiders -- 13.4 Context dependence of dispersal and the organization of syndromes -- 14 Plant dispersal phenotypes: a seed perspective of maternal habitat selection -- 14.1 Introduction -- 14.2 Plant dispersal syndromes -- 14.3 Dispersal as habitat selection -- 14.4 Seed dispersal is maternally determined -- 14.5 Evolutionary consequences of the maternal determination of dispersal -- 14.6 Consequences of habitat selection via dispersal -- 14.7 Conclusions -- Part IV: Distribution of Dispersal Distances: Dispersal Kernels -- 15 Dispersal kernels: review -- 15.1 Basic concepts and definitions -- 15.2 The questions -- 15.3 The tools -- 15.4 Synthesis and future directions -- 16 Evolution and emergence of dispersal kernels-a brief theoretical evaluation -- 16.1 Introduction -- 16.2 Evolution of dispersal kernels. , 16.3 The genesis of dispersal kernels (from first principles) -- 16.4 Conclusions -- 17 Quantifying individual differences in dispersal using net squared displacement -- 17.1 Introduction -- 17.2 Theoretical considerations -- 17.3 The modelling approach: hierarchical non-linear models -- 17.4 Simulation study: evaluating data requirements and power -- 17.5 Conclusions -- 18 Temporal variation in dispersal kernels in a metapopulation of the bog fritillary butterfly (Boloria eunomia) -- 18.1 Introduction -- 18.2 Methods -- 18.3 Results -- 18.4 Discussion -- 19 How random is dispersal? From stochasticity to process in the description of seed movement -- 19.1 Process and stochasticity in the modelling of plant dispersal -- 19.2 Effects of release height and environmental variability on seed dispersal by wind -- 19.3 The benefits of replacing stochasticity by process -- 19.4 How much process can and should we include in dispersal models? -- Part V: Dispersal and Population Spatial Dynamics -- 20 Linking dispersal to spatial dynamics -- 20.1 Introduction -- 20.2 Dispersal changes local population density, which has many consequences -- 20.3 Dispersal has non-local impacts on dynamics -- 20.4 Dispersal allows colonization of empty patches -- 20.5 Dispersal, spatial gene flow, and evolutionary dynamics -- 20.6 Conclusions -- 21 Demographic consequences of the selective forces controlling density-dependent dispersal -- 21.1 Introduction -- 21.2 Minimization of resource competition -- 21.3 Departures from ideal resource use: a metapopulation model -- 21.4 Discussion -- 21.5 Conclusion -- 22 Landscape effects on spatial dynamics: the natterjack toad as a case study -- 22.1 Introduction -- 22.2 Measuring landscape effects on movement patterns: functional connectivity -- 22.3 Modelling landscape effects on movement patterns. , 22.4 The effect of dispersal on population dynamics -- 22.5 Discussion -- 23 Dispersal and eco-evolutionary dynamics in the Glanville fritillary butterfly -- 23.1 Butterfly dispersal in highly fragmented landscapes -- 23.2 The Glanville fritillary butterfly and the general features of its dispersal -- 23.3 Variation in dispersal rate -- 23.4 Environmental, phenotypic, and genotypic effects on dispersal -- 23.5 Population dynamics -- 23.6 Eco-evolutionary dynamics of dispersal -- 24 Urban metapopulation dynamics, and evolution of dispersal traits in the weed Crepis sancta -- 24.1 Introduction -- 24.2 A plant metapopulation model -- 24.3 Metapopulation dynamics -- 24.4 Reduction of seed dispersal in the fragmented metapopulation -- 24.5 Evolutionary scenario in fragmented metapopulation -- 24.6 Dispersal in plant metapopulation: lessons from simple natural systems -- Part VI: Dispersal and Climate Change -- 25 Dispersal and range dynamics in changing climates: a review -- 25.1 Introduction -- 25.2 Climate change and the spatial distribution of plants and animals -- 25.3 Dispersal and resilience to climate change -- 25.4 Dispersal heterogeneity -- 25.5 Interactions with fragmentation and biotic interactions -- 25.6 Dispersal across the species' range -- 25.7 Synthesis -- 26 Dispersal and climate change: a review of theory -- 26.1 Introduction -- 26.2 Incorporating dispersal into species distribution models -- 26.3 Inter-individual variability and dispersal evolution during climate change -- 26.4 An interaction between landscape structure and climate change -- 26.5 Environmental gradients -- 26.6 Assisting migration by managing the landscape and dispersal -- 26.7 Conclusion -- 27 Influence of temperature on dispersal in two bird species -- 27.1 Introduction -- 27.2 Winter temperature, immigration, and impact on population dynamics in the dipper. , 27.3 Spring temperature, habitat quality, and natal dispersal in the house sparrow.
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  • 2
    Publikationsdatum: 2022-05-26
    Beschreibung: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Beckman, N. G., Asian, C. E., Rogers, H. S., Kogan, O., Bronstein, J. L., Bullock, J. M., Hartig, F., HilleRisLambers, J., Zhou, Y., Zurell, D., Brodie, J. F., Bruna, E. M., Cantrell, R. S., Decker, R. R., Efiom, E., Fricke, E. C., Gurski, K., Hastings, A., Johnson, J. S., Loiselle, B. A., Miriti, M. N., Neubert, M. G., Pejchar, L., Poulsen, J. R., Pufal, G., Razafindratsima, O. H., Sandor, M. E., Shea, K., Schreiber, S., Schupp, E. W., Snell, R. S., Strickland, C., & Zambrano, J. Advancing an interdisciplinary framework to study seed dispersal ecology. Aob Plants, 12(2), (2020): plz048, doi:10.1093/aobpla/plz048.
    Beschreibung: Although dispersal is generally viewed as a crucial determinant for the fitness of any organism, our understanding of its role in the persistence and spread of plant populations remains incomplete. Generalizing and predicting dispersal processes are challenging due to context dependence of seed dispersal, environmental heterogeneity and interdependent processes occurring over multiple spatial and temporal scales. Current population models often use simple phenomenological descriptions of dispersal processes, limiting their ability to examine the role of population persistence and spread, especially under global change. To move seed dispersal ecology forward, we need to evaluate the impact of any single seed dispersal event within the full spatial and temporal context of a plant’s life history and environmental variability that ultimately influences a population’s ability to persist and spread. In this perspective, we provide guidance on integrating empirical and theoretical approaches that account for the context dependency of seed dispersal to improve our ability to generalize and predict the consequences of dispersal, and its anthropogenic alteration, across systems. We synthesize suitable theoretical frameworks for this work and discuss concepts, approaches and available data from diverse subdisciplines to help operationalize concepts, highlight recent breakthroughs across research areas and discuss ongoing challenges and open questions. We address knowledge gaps in the movement ecology of seeds and the integration of dispersal and demography that could benefit from such a synthesis. With an interdisciplinary perspective, we will be able to better understand how global change will impact seed dispersal processes, and potential cascading effects on plant population persistence, spread and biodiversity.
    Beschreibung: Ideas for this manuscript initiated during the Seed Dispersal Workshop held in May 2016 at the Socio-Environmental Synthesis Center in Annapolis, MD and supported by the US National Science Foundation Grant DEB-1548194 to N.G.B. and the National Socio-Environmental Synthesis Center under the US National Science Foundation Grant DBI-1052875. D.Z. received funding from the Swiss National Science Foundation (SNF, grant: PZ00P3_168136/1) and from the German Science Foundation (DFG, grant: ZU 361/1-1).
    Schlagwort(e): Analytical models ; demography ; global change ; individual-based models ; long-distance seed dispersal ; population models ; seed dispersal
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
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  • 3
    Publikationsdatum: 2022-05-26
    Beschreibung: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Aslan, C., Beckman, N. G., Rogers, H. S., Bronstein, J., Zurell, D., Hartig, F., Shea, K., Pejchar, L., Neubert, M., Poulsen, J., HilleRisLambers, J., Miriti, M., Loiselle, B., Effiom, E., Zambrano, J., Schupp, G., Pufal, G., Johnson, J., Bullock, J. M., Brodie, J., Bruna, E., Cantrell, R. S., Decker, R., Fricke, E., Gurski, K., Hastings, A., Kogan, O., Razafindratsima, O., Sandor, M., Schreiber, S., Snell, R., Strickland, C., & Zhou, Y. Employing plant functional groups to advance seed dispersal ecology and conservation. AoB Plants, 11(2), (2019):plz006, doi:10.1093/aobpla/plz006.
    Beschreibung: Seed dispersal enables plants to reach hospitable germination sites and escape natural enemies. Understanding when and how much seed dispersal matters to plant fitness is critical for understanding plant population and community dynamics. At the same time, the complexity of factors that determine if a seed will be successfully dispersed and subsequently develop into a reproductive plant is daunting. Quantifying all factors that may influence seed dispersal effectiveness for any potential seed-vector relationship would require an unrealistically large amount of time, materials and financial resources. On the other hand, being able to make dispersal predictions is critical for predicting whether single species and entire ecosystems will be resilient to global change. Building on current frameworks, we here posit that seed dispersal ecology should adopt plant functional groups as analytical units to reduce this complexity to manageable levels. Functional groups can be used to distinguish, for their constituent species, whether it matters (i) if seeds are dispersed, (ii) into what context they are dispersed and (iii) what vectors disperse them. To avoid overgeneralization, we propose that the utility of these functional groups may be assessed by generating predictions based on the groups and then testing those predictions against species-specific data. We suggest that data collection and analysis can then be guided by robust functional group definitions. Generalizing across similar species in this way could help us to better understand the population and community dynamics of plants and tackle the complexity of seed dispersal as well as its disruption.
    Beschreibung: Ideas for this manuscript initiated during the Seed Dispersal Workshop held in May 2016 at the Socio-Environmental Synthesis Center in Annapolis, MD and supported by the US National Science Foundation Grant DEB-1548194 to N.G.B. and the National Socio‐Environmental Synthesis Center under the US National Science Foundation Grant DBI‐1052875. D.Z. received funding from the Swiss National Science Foundation (SNF, grant: PZ00P3_168136/1) and from the German Science Foundation (DFG, grant: ZU 361/1- 1). Contributions by the authors C.A. led the development of the concepts, writing, and revising of the manuscript with input from N.G.B. and H.S.R. All authors contributed to the development of concepts and are listed in order of contribution and alphabetical order within each level of contribution.
    Schlagwort(e): dependency ; directed dispersal ; dispersal vectors ; generalization ; mutualism ; seed dispersal effectiveness
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
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  • 4
    Digitale Medien
    Digitale Medien
    Oxford, UK : Blackwell Publishing Ltd
    Restoration ecology 3 (1995), S. 0 
    ISSN: 1526-100X
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Biologie
    Notizen: Restoration ecologists are increasingly aware of the potential to re-create chalk grassland on abandoned farmland. Success is often hampered by lack of desirable species in the seed bank and by poor dispersal from nearby sites. In certain schemes, the input of seed may be essential. Locally collected seed is desirable but availability is limited. We examined whether lower sowing rates than currently recommended may be successfully utilized, facilitating more-efficient use of available seed. Experimental plots on former agricultural land were sown at different rates in a randomized complete block, and the vegetation was surveyed for two years. We compared species richness and cover for chalk grassland plants and weeds - species not associated with chalk grassland communities. Values for cover and abundance were matched with data for communities of the British National Vegetation Classification (NVC). Species richness for chalk grassland plants increased with sowing rate and with time, although after two years there was no significant difference between the treatments sown at 0.4, 1.0, and 4.0 grams of seed per square meter. Weed species decreased with increasing rate and time. After two seasons, the vegetation on all treatment plots was similar to that of recognized NVC chalk grassland communities, while the controls were dominated by weeds and showed signs of developing into species-poor grassland. Higher rates rapidly eliminated weeds, but even a small inoculum of seed seemed to significantly enhance establishment of desirable plants and to reduce weed cover. We conclude that lower sowing rates would enable the desired vegetation to become established successfully, under appropriate conditions and management regimes. Lower rates allow for the re-creation of sizable areas using local seed, and they minimize damage to donor sites.
    Materialart: Digitale Medien
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