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Mechanisms of long-distance dispersal of seeds by wind

Author

Listed:
  • Ran Nathan

    (Ben-Gurion University of the Negev)

  • Gabriel G. Katul

    (Nicholas School of the Environment and Earth Sciences, Duke University)

  • Henry S. Horn

    (Princeton University)

  • Suvi M. Thomas

    (Princeton University)

  • Ram Oren

    (Nicholas School of the Environment and Earth Sciences, Duke University)

  • Roni Avissar

    (Duke University)

  • Stephen W. Pacala

    (Princeton University)

  • Simon A. Levin

    (Princeton University)

Abstract

Long-distance dispersal (LDD) is central to species expansion following climate change, re-colonization of disturbed areas and control of pests1,2,3,4,5,6,7,8. The current paradigm is that the frequency and spatial extent of LDD events are extremely difficult to predict9,10,11,12. Here we show that mechanistic models coupling seed release and aerodynamics with turbulent transport processes provide accurate probabilistic descriptions of LDD of seeds by wind. The proposed model reliably predicts the vertical distribution of dispersed seeds of five tree species observed along a 45-m high tower in an eastern US deciduous forest. Simulations show that uplifting above the forest canopy is necessary and sufficient for LDD, hence, they provide the means to define LDD quantitatively rather than arbitrarily. Seed uplifting probability thus sets an upper bound on the probability of long-distance colonization. Uplifted yellow poplar seeds are on average lighter than seeds at the forest floor, but also include the heaviest seeds. Because uplifting probabilities are appreciable (as much as 1–5%), and tree seed crops are commonly massive, some LDD events will establish individuals that can critically affect plant dynamics on large scales.

Suggested Citation

  • Ran Nathan & Gabriel G. Katul & Henry S. Horn & Suvi M. Thomas & Ram Oren & Roni Avissar & Stephen W. Pacala & Simon A. Levin, 2002. "Mechanisms of long-distance dispersal of seeds by wind," Nature, Nature, vol. 418(6896), pages 409-413, July.
  • Handle: RePEc:nat:nature:v:418:y:2002:i:6896:d:10.1038_nature00844
    DOI: 10.1038/nature00844
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    Cited by:

    1. Quérou, Nicolas & Tomini, Agnes & Costello, Christopher, 2022. "Limited‐tenure concessions for collective goods," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    2. Horn, S. & Raabe, A. & Will, H. & Tackenberg, O., 2012. "TurbSeed—A model for wind dispersal of seeds in turbulent currents based on publicly available climate data," Ecological Modelling, Elsevier, vol. 237, pages 1-10.
    3. Shi, Pei-Jian & Sandhu, Hardev S. & Reddy, Gadi V.P., 2016. "Dispersal distance determines the exponent of the spatial Taylor’s power law," Ecological Modelling, Elsevier, vol. 335(C), pages 48-53.
    4. Costello, Christopher & Quérou, Nicolas & Tomini, Agnes, 2015. "Partial enclosure of the commons," Journal of Public Economics, Elsevier, vol. 121(C), pages 69-78.
    5. Reynolds, A.M., 2012. "Gusts within plant canopies are extreme value processes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(21), pages 5059-5063.
    6. Christopher Costello & Nicolas Querou & Agnès Tomini, 2014. "Spatial concessions with limited tenure," Post-Print hal-01123392, HAL.
    7. Kuparinen, Anna & Schurr, Frank M., 2007. "A flexible modelling framework linking the spatio-temporal dynamics of plant genotypes and populations: Application to gene flow from transgenic forests," Ecological Modelling, Elsevier, vol. 202(3), pages 476-486.
    8. Amor, Daniel R. & Fort, Joaquim, 2013. "Lag-driven motion in front propagation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4946-4955.
    9. Mari, Lorenzo & Gatto, Marino & Casagrandi, Renato, 2009. "Central-place seed foraging and vegetation patterns," Theoretical Population Biology, Elsevier, vol. 76(4), pages 229-240.
    10. Costello, Christopher & Quérou, Nicolas & Tomini, Agnes, 2017. "Private eradication of mobile public bads," European Economic Review, Elsevier, vol. 94(C), pages 23-44.
    11. Enock O. Menge & Michael J. Lawes, 2023. "Influence of Landscape Characteristics on Wind Dispersal Efficiency of Calotropis procera," Land, MDPI, vol. 12(3), pages 1-25, February.
    12. Holmström, Emma & Karlsson, Matts & Nilsson, Urban, 2017. "Modeling birch seed supply and seedling establishment during forest regeneration," Ecological Modelling, Elsevier, vol. 352(C), pages 31-39.
    13. Wallentin, Gudrun & Tappeiner, Ulrike & Strobl, Josef & Tasser, Erich, 2008. "Understanding alpine tree line dynamics: An individual-based model," Ecological Modelling, Elsevier, vol. 218(3), pages 235-246.
    14. Kuparinen, Anna & Markkanen, Tiina & Riikonen, Hermanni & Vesala, Timo, 2007. "Modeling air-mediated dispersal of spores, pollen and seeds in forested areas," Ecological Modelling, Elsevier, vol. 208(2), pages 177-188.
    15. Térence Legrand & Anne Chenuil & Enrico Ser-Giacomi & Sophie Arnaud-Haond & Nicolas Bierne & Vincent Rossi, 2022. "Spatial coalescent connectivity through multi-generation dispersal modelling predicts gene flow across marine phyla," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    16. Le Maitre, David C. & Krug, Rainer M. & Hoffmann, John H. & Gordon, Anthony J. & Mgidi, Theresa N., 2008. "Hakea sericea: Development of a model of the impacts of biological control on population dynamics and rates of spread of an invasive species," Ecological Modelling, Elsevier, vol. 212(3), pages 342-358.
    17. Trakhtenbrot, A. & Katul, G.G. & Nathan, R., 2014. "Mechanistic modeling of seed dispersal by wind over hilly terrain," Ecological Modelling, Elsevier, vol. 274(C), pages 29-40.
    18. Junhao Zhang & Xinjun Wang & Yujing Xie, 2021. "Implication of Buffer Zones Delineation Considering the Landscape Connectivity and Influencing Patch Structural Factors in Nature Reserves," Sustainability, MDPI, vol. 13(19), pages 1-18, September.
    19. Hang Li & James H. Speer & Ichchha Thapa, 2022. "Analyzing Resilience in the Greater Yellowstone Ecosystem after the 1988 Wildfire in the Western U.S. Using Remote Sensing and Soil Database," Land, MDPI, vol. 11(8), pages 1-19, July.
    20. Carré, Aurélien & Gasnier, Pierre & Roux, Émile & Tabourot, Laurent, 2022. "Extending the operating limits and performances of centimetre-scale wind turbines through biomimicry," Applied Energy, Elsevier, vol. 326(C).
    21. Sagnard, Fabrice & Pichot, Christian & Dreyfus, Philippe & Jordano, Pedro & Fady, Bruno, 2007. "Modelling seed dispersal to predict seedling recruitment: Recolonization dynamics in a plantation forest," Ecological Modelling, Elsevier, vol. 203(3), pages 464-474.
    22. Lett, Christophe & Barrier, Nicolas & Bahlali, Meissam, 2020. "Converging approaches for modeling the dispersal of propagules in air and sea," Ecological Modelling, Elsevier, vol. 415(C).
    23. Wang, Binbin & Sullivan, Lauren L. & Wood, Jeffrey D., 2023. "Modeling wind-driven seed dispersal using a coupled Lagrangian particle tracking and 1-D k-ɛ turbulence model," Ecological Modelling, Elsevier, vol. 486(C).
    24. Strona, Giovanni, 2015. "A spatially explicit model to investigate how dispersal/colonization tradeoffs between short and long distance movement strategies affect species ranges," Ecological Modelling, Elsevier, vol. 297(C), pages 80-85.
    25. Manso, Rubén & Pardos, Marta & Keyes, Christopher R. & Calama, Rafael, 2012. "Modelling the spatio-temporal pattern of primary dispersal in stone pine (Pinus pinea L.) stands in the Northern Plateau (Spain)," Ecological Modelling, Elsevier, vol. 226(C), pages 11-21.

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