2021
DOI: 10.1002/ece3.8305
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Seed dispersal by wind decreases when plants are water‐stressed, potentially counteracting species coexistence and niche evolution

Abstract: Hydrology is a major environmental factor determining plant fitness, and hydrological niche segregation (HNS) has been widely used to explain species coexistence.Nevertheless, the distribution of plant species along hydrological gradients does not only depend on their hydrological niches but also depend on their seed dispersal, with dispersal either weakening or reinforcing the effects of HNS on coexistence. However, it is poorly understood how seed dispersal responds to hydrological conditions. To close this … Show more

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Cited by 3 publications
(3 citation statements)
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References 64 publications
(81 reference statements)
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“…Secondly, the grid-based nature of our model makes it easy to incorporate empirical information on impacts of environmental heterogeneity on plant fecundity and dispersal. For instance, our study species tend to produce fewer seeds and disperse to shorter distances when water-stressed (Zhu et al, 2021), which may reinforce the effects of positive density-dependence on population spread detected here (Figures 2 and 4). By incorporating environmental heterogeneity, it would also be possible to study the real-world relevance of density-dependence for plant population spread through patchy landscapes (Dahirel et al, 2021;Maciel & Lutscher, 2015;Pachepsky & Levine, 2011).…”
Section: Applying the General Framework To Other Study Systemssupporting
confidence: 83%
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“…Secondly, the grid-based nature of our model makes it easy to incorporate empirical information on impacts of environmental heterogeneity on plant fecundity and dispersal. For instance, our study species tend to produce fewer seeds and disperse to shorter distances when water-stressed (Zhu et al, 2021), which may reinforce the effects of positive density-dependence on population spread detected here (Figures 2 and 4). By incorporating environmental heterogeneity, it would also be possible to study the real-world relevance of density-dependence for plant population spread through patchy landscapes (Dahirel et al, 2021;Maciel & Lutscher, 2015;Pachepsky & Levine, 2011).…”
Section: Applying the General Framework To Other Study Systemssupporting
confidence: 83%
“…To simulate species‐specific seed dispersal for different population densities, we used the mechanistic WALD model (Bullock et al, 2012; Katul et al, 2005; Skarpaas & Shea, 2007; Zhu et al, 2021), which is a seed dispersal kernel model that models the probability that a seed travels over distance x asp)(xgoodbreak=λ2πx31/2exp][goodbreak−λxμ22μ2x,where the location parameter μ = H r * U / V t , the scale parameter λ = ( H r / σ ) 2 , U is the horizontal wind speed at seed release height H r , V t is seed terminal velocity and σ is a turbulent flow parameter reflecting wind speed variation (Katul et al, 2005).…”
Section: Methodsmentioning
confidence: 99%
“…σ was estimated following Katul et al (2005) (Supporting information). To calculate the mean dispersal distance, we simulated 10 6 dispersal events for each plant species by randomly drawing a unique combination of parameters for U , H r , V t and σ for each dispersal event (Travis et al 2011, Zhu et al 2021).…”
Section: Methodsmentioning
confidence: 99%