Abstract
Spartina alterniflora Loisel, widely recognized as an aggressive invader of estuaries and salt marshes worldwide, was recently reported in Korean waters as rapidly invading intertidal mudflats, growing in circular patches. For more effective control management of the invasive cordgrass, we developed a modified ignition logistic model based on the satellite imageries to estimate the settlement time of the first individual stand and the doubling period of the patch spread in the early colonization state. The present model is designed for estimating the starting time and the doubling period of the patch spread at the growth stage, which is a salient feature different from other logistic models. The importance of estimating the starting time of the invasion may lie in figuring out what ecological changes occurred at that time. A Monte-Carlo simulation is combined with our model to obtain reliable predictions against the noisy data. As a result of applying the model to the Northwest Pacific invading tidal flats of Korea, China, and Japan, it turns out that the doubling periods of the patch spread are generally shorter and similar to each other, which range from 0.6 to 2.1 years. This is probably attributed to the genetically hybridized populations of Spartina alterniflora invading this region.
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All data generated or analysed during this study are included in this published article (and its supplementary information files).
Change history
19 December 2023
A Correction to this paper has been published: https://doi.org/10.1007/s10530-023-03211-3
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Acknowledgements
This work is supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1F1A1A01049994). A part of the work was supported under the project title of “Spartina: Status and Distribution in Korean Waters” by the Korea Marine Environment Corporation through Grant No. 2015 from the Korea Institute of Coastal Ecology Inc. in 2015.
Funding
This work is supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2020R1F1A1A01049994). A part of the work was supported under the project title of “Spartina: Status and Distribution in Korean Waters” by the Korea Marine Environment Corporation through Grant No. 2015 from the Korea Institute of Coastal Ecology Inc. in 2015.
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All authors contributed to the study conception and design. Do Wan Kim and Jae-Sang Hong obtained the research funding. Data collection and analysis were performed by Sungtae Kim and the mathematical model was designed by Do Wan Kim. The first draft of the manuscript was written by Jae-Sang Hong and all authors commented on subsequent versions of the manuscript. All authors read and approved the final manuscript.
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The original online version of this article was revised: In Table 7 of this article, the country name ‘China’ under the column heading ‘Region’ is mistakenly listed in ‘Row 2’. It should be listed in ‘Row 3’.
Appendices
Appendix A: Derivation of the ignition logistic function
For the solution of the ignition logistic model defined in (7) with initial condition (8), we start from the separation of variables of the differential equation,
because of the initial condition that \(A = 0\) when \(t = t_0\). Using the definition of \(A^\pm\) in (11), the left hand side of (A1) can be calculated to reach
Considering the left hand side of (A1), we reach the following identity,
Solve this equation for the variable A and we finally obtain the ignition logistic function written in (9).
Appendix B: The correspondence in Table 1
Comparing (9) and (10) with (12) and (13), respectively, we find the following four relationships, where \(\delta _0\), \(\delta _1\), \(\delta _2\), and \(\delta _3\) are parameters determined from the fitting model:
where the values, \(t_c\) and \(t_R\), are determined from the data in terms of (15). From equations (B4) and (B5), we infer that \(A^- = \delta _2\,\delta _3/(1-\delta _2)\) and \(A^- + A^+ = \delta _3/(1-\delta _2)\). Therefore, substituting these values into equation (B6), we obtain
Eliminating the quantity \(\alpha (A^- + A^+)\) from equations (B6) and (B7), we find
Given the identity \(\Delta = (A^*)^2 + 4 \beta /\alpha\), and knowing that \(A^- + A^+ = \sqrt{\Delta }\) and \(A^+ - A^- = A^*\) from (11), we deduce that \(\beta = \alpha \,A^- A^+\). As a result, we have
Meanwhile, let us estimate the initial doubling period \(T > 0\). For a sufficiently small time just after \(t_0\), E(t) in (10) is small enough to have the following asymptotic behavior of the ignition logistic function \(A^{ILM}(t)\) in (9):
as E(t) goes to zero. Comparing the leading term of (B8) with that of (4), the following relationship should be satisfied:
Based on the identity that \(\alpha \,(A^-+A^+) = {\delta _0}/{t_R}\), it is reasonable to define the initial doubling period T in the ILM as follows:
Appendix C: Error bound in (21)
Using \(\vert \partial D_i \vert = 2 \sqrt{\pi } \sqrt{\vert D_i \vert }\), the summation on the right-hand side of (20) is addressed as
Indeed, based on the inequality \(\sqrt{\vert D_i \vert }\, \sqrt{\vert D_j \vert } \le \frac{1}{2} \left( \vert D_i \vert + \vert D_j \vert \right)\), the direct calculation yields
Here, the last equality comes from the fact that \(\sum _{i=1}^{N^p} \vert D_i \vert = \sum _{j=1}^{N^p} \vert D_j \vert = \vert D \vert\), which is based on the property of disjoint union. It is worth noting that the inequality in (21) holds even if \(D = \bigcup _{i=1}^{N^p}\) is not a disjoint union.
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Kim, S., Hong, JS. & Kim, D.W. Diffusion model for initial colonization of Spartina patches on Korean tidal flats. Biol Invasions 26, 403–421 (2024). https://doi.org/10.1007/s10530-023-03179-0
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DOI: https://doi.org/10.1007/s10530-023-03179-0