A cellular automata model for population expansion of Spartina alterniflora at Jiuduansha Shoals, Shanghai, China

Huang, Huamei; Zhang, Liquan; Guan, Yujuan; Wang, Donghui

doi:10.1016/j.ecss.2007.09.003

Cited by 57 publications

(35 citation statements)

References 27 publications

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“…Our objective is to calculate the rate of population spread from the following two functions: 1) patch establishment rate (per unit area per year), b(x), which continuously decreases with increasing distance from the wave front, x, a pattern consistent with aerial photo analysis by previous studies [5] [17] [27]; 2) increase of ramet density of a patch, n(a), which continuously increases with clone age (time since colonization), a.…”

Section: Model Assumptions and Structurementioning

confidence: 99%

“…In this study the velocity of spread has been estimated from time series of aerial photos [5] [17]. Thus the dispersal coefficient (c) could be determined by simulation to accommodate unique combinations of the r and the rate of spread.…”

Section: Model Accuracy Assessmentmentioning

confidence: 99%

“…We used available data on the range spread of S. alterniflora from two sites in the Yangtze River estuary: Jiuduansha Shoals Wetlands (30˚10'N, 122˚01'E) and Chongming Dongtan Wetlands (31˚38'N, 121˚58'E) [5] [17]. In these studies, estimates of area changes of S. alterniflora with time were taken from aerial photographs.…”

Section: Fitting Dispersal Parameter From the Range-time Curvesmentioning

confidence: 99%

“…Like other complex biological processes, the expanding process of invasive species is often numerically intractable [1]- [5]. The study of spread rates of invasions has been and continues to be one of the most exciting areas of interplay between theoretical and observational study in ecology [2].…”

Section: Introductionmentioning

confidence: 99%

“…For example, the main use of spread models has been to predict the velocity of the invasion front from species attributes related to reproduction and dispersal, thus we can explore the relative importance of dispersal and local growth in contributing to the spread rate by comparing the partial derivatives of spread rate with respect to dispersal and reproduction parameters, respectively. On the other hand, we can fit the dispersal parameters (or testing hypotheses about dispersal mechanisms) if we can estimate the reproduction parameter and have known the rates of spread by field mapping of an invasion front over successive years or using time series data of aerial photos [5] [15]- [17] Invasion of the intertidal mudflats of Pacific coast estuaries by Spartina alterniflora Loisel. (smooth cordgrass) is an ideal example of stratified diffusion, involving both a long-distance dispersal of seeds that leads to establishment of new colonies and a local reproduction due to clonal growth through rhizome [17] [18].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary

Yang¹,

Wang²,

Pan³

et al. 2014

AJPS

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The relative contribution of long-distance dispersal and local diffusion in the spread of invasive species has been a subject of much debate. Invasion of the intertidal mudflats by Spartina alterniflora is an ideal example of stratified diffusion, involving both long-distance dispersal of seeds and local diffusion due to clonal growth. In conjunction with experimental data on range radius-versus-time curve, a traveling wave equation-based model is used to investigate the sensitivity of the spread rate of exotic S. alterniflora to parameters of long distance dispersal (c, maximum colonial establishment rate) and local colony diffusion (r, intrinsic growth rate) at two tidal marshes, the Eastern Chongming and the Jiuduansha Islands, at the Yangtze River estuary. Both Eastern Chong ming and Jiuduansha Islands are now national natural reserves in China, which were established in 2005. However, the mudflats and salt marshes in the two reserves are now heavily infested with introduced S. alterniflora, which may threaten the estuarine ecosystems and their biodiversity. S. alterniflora was first found in 1995 on Chongming. For rapid sediment accretion in mudflats in the estuary, S. alterniflora was also intentionally introduced to Jiuduansha in 1997 and Chongming in 2001, which has led to a rapid range expansion in the estuary. Our results show that range expansion of species with stratified diffusion is affected by both long-distance dispersal and local colony diffusion, and that there is a critical c * , below which the spread rate is more influenced by longdistance dispersal than by local diffusion. After applying this model to the invasion of S. alterniflora in the Yangtze River estuary, we derive that c = 1.7 × 10 −3 , c * = 0.126 and c = 4.8 × 10 −3 km −2 •yr −1 , * Corresponding author. W. Yang et al.3643 c * = 0.140 km −2 •yr −1 at Chongming and Jiuduansha (Shanghai), respectively. Our results suggest that the range spread of S. alterniflora in the Yangtze River estuary is more influenced by longdistance dispersal than local colony diffusion, and that S. alterniflora generates about 1.7 × 10 −3 to 4.8 × 10 −3 colonies per square kilometers per year. This study provides important information about dispersal dynamics of S. alterniflora that may be useful for finding optimal control strategies.

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Section: Model Assumptions and Structurementioning

confidence: 99%

Section: Model Accuracy Assessmentmentioning

confidence: 99%

Section: Fitting Dispersal Parameter From the Range-time Curvesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary

Yang¹,

Wang²,

Pan³

et al. 2014

AJPS

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Characterizing Novel Ecosystems: Challenges for Measurement

et al. 2013

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Windows of opportunity for salt marsh establishment: the importance for salt marsh restoration in the Yangtze Estuary

et al. 2020

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Restoration has been promoted as an important strategy to reverse the decline of salt marsh ecosystems. Physical and biological processes limiting the colonization of bare tidal flats by pioneer salt marsh species are commonly recognized. Recently, the window of opportunity (WoO) concept has been proposed as a framework to provide an explanation for the initial establishment of biogeomorphic ecosystems on tidal flats under high physical stress. Understanding the thresholds for early seedling establishment and colonization is critical for the successful restoration and management of this threatened ecosystem. In this study, we investigated the WoOs for the establishment and colonization of a Scirpus mariqueter salt marsh at a large‐scale restoration site in the Yangtze Estuary. A set of field monitoring and measurements were conducted to identify the potential physical and biological thresholds that could provide a mechanistic insight on the establishment and colonization of this pioneer marsh. The results showed that the successful colonization and expansion of the S. mariqueter marsh on the tidal flat required passing both physical and biological thresholds to open WoOs for establishment and colonization. The concurrence of WoOs, that is, propagule availability in the early growing season at a suitable tidal flat elevation with a benign sedimentary regime together with the removal of competition from invasive species, is presumed to be essential for the success of S. mariqueter marsh establishment and colonization. In applying such ecological insights, the seed‐sowing field experiment proved that by surpassing these thresholds, an S. mariqueter salt marsh can be successfully restored in a cost‐effective manner. We suggest that these WoO‐related establishment and colonization thresholds as well the cost‐effectiveness of using these WoOs should be considered in future large‐scale restorations of salt marshes.

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A cellular automata model for population expansion of Spartina alterniflora at Jiuduansha Shoals, Shanghai, China

Cited by 57 publications

References 27 publications

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary

Characterizing Novel Ecosystems: Challenges for Measurement

Windows of opportunity for salt marsh establishment: the importance for salt marsh restoration in the Yangtze Estuary

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A cellular automata model for population expansion of Spartina alterniflora at Jiuduansha Shoals, Shanghai, China

Cited by 57 publications

References 27 publications

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of &lt;i&gt;Spartina alterniflora&lt;/i&gt; in the Yangtze River Estuary

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of &lt;i&gt;Spartina alterniflora&lt;/i&gt; in the Yangtze River Estuary

Characterizing Novel Ecosystems: Challenges for Measurement

Windows of opportunity for salt marsh establishment: the importance for salt marsh restoration in the Yangtze Estuary

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Product

Resources

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Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary

Estimation of the Probability of Long-Distance Dispersal: Stratified Diffusion of <i>Spartina alterniflora</i> in the Yangtze River Estuary