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Journal ArticleDOI

Testing mechanistic models of seed dispersal for the invasive Rhododendron ponticum (L.)

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TLDR
Results from both the controlled and natural release experiments indicate that in open landscapes the vast majority of R. ponticum seeds travel less than 10 m, but that a very small proportion travel more than 50 m, and the development of mechanistic wind dispersal models offers great potential for helping develop efficient control programmes for invasive alien plants.
Abstract
Rhododendron ponticum (Ericaceae) is a serious invasive alien plant in the British Isles and is of considerable conservation and economic concern While optimal control strategies for single individuals and small stands of R ponticum are well described, effective regional control of the plant demands an improved understanding of its spatial dynamics, in particular its dispersal ecology Here, we describe the results of two field experiments designed to quantify the dispersal pattern of R ponticum seeds: (1) controlled release over a few seconds at known windspeeds and (2) natural release over the peak dispersal period We then use these results to assess the potential use of two different mechanistic wind dispersal models (WINDISPER and WALD) as descriptors of seed dispersal ecology for this species Results from both the controlled and natural release experiments indicate that in open landscapes the vast majority of R ponticum seeds travel less than 10 m, but that a very small proportion (0001% in controlled trials; 002% in natural release) travel more than 50 m The WINDISPER model provided the best description of seed dispersal for the controlled releases that took place over a few seconds under known windspeeds, but neither model performed well when used to predict seed dispersal from a natural stand over the peak period of dispersal We suggest that this is due to a lack of knowledge of the exact windspeed at the time of seed release and the poor spatial and temporal resolution of the wind data available to us The development of mechanistic wind dispersal models offers great potential for helping develop efficient control programmes for invasive alien plants, but further work to investigate the conditions under which seeds are released and the appropriate spatial and temporal resolution of wind data to use is required

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Citations
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Journal ArticleDOI

Mechanistic models of seed dispersal by wind

TL;DR: In this paper, various mechanistic models have been developed to estimate the magnitude of seed dispersal by wind, and to elucidate the relative importance of physical and biological factors affecting this passive transport process.
Journal ArticleDOI

Modelling spread of British wind‐dispersed plants under future wind speeds in a changing climate

TL;DR: Climate change may affect plant dispersal ability by decreasing the dispersal distances of wind-dispersed plants and thus their potential spread rates, and illustrates that uncertainty in climate models leads to an even greater uncertainty about how dispersal and spread will change in future climates.
Journal ArticleDOI

Global patterns of Rhododendron diversity: The role of evolutionary time and diversification rates

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Towards a mechanistic understanding of dispersal evolution in plants: conservation implications

TL;DR: A continuous-space, individual-based model for wind-dispersed plants where release height is determined by an individual’s ‘genotype’ is introduced and it is confirmed that, when habitat is fragmented, both evolutionary rescue and evolutionary suicide remain possible outcomes when a mechanistic dispersal model is used.
References
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TL;DR: In this paper, the authors identify what seems to be a necessary and necessary starting point for this debate: the clearest possible understanding of how science actually works, and they believe that without such an understanding, one can easily imagine formulating plausible-sounding ethical principles that would be unworkable or damaging to the scientific enterprise.
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Spatial patterns of seed dispersal, their determinants and consequences for recruitment.

TL;DR: Together with the development and refinement of mathematical models, this promises a deeper, more mechanistic understanding of dispersal processes and their consequences.
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Seed Dispersal Near and Far: Patterns Across Temperate and Tropical Forests

TL;DR: This paper presented a mixture model of dispersal that assumes a range of disperal patterns, both local and long distance, and compared the mixture model with classical models of seed dispersal.
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Why trees migrate so fast: confronting theory with dispersal biology and the paleorecord.

TL;DR: Field estimates of seed dispersal with an integrodifference equation and simulation models of population growth to show that dispersal data are compatible with rapid spread, and predicts that velocity is more sensitive to life history than is classical diffusion.
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The Ecology and Evolution of Seed Dispersal: A Theoretical Perspective

TL;DR: In this article, a review of the development of seed dispersal models can be found, and some suggestions for furthest reaching the future are provided, as well as suggestions for how to incorporate these models into models of the implications of dispersal.
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