Invasive Plant Species in the National Parks of Vietnam

Dang, Tan; Thu, Phạm Quang; Dell, B.

doi:10.3390/f3040997

Cited by 26 publications

(23 citation statements)

References 14 publications

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“…The number of non‐native species (84) that was recorded at Tram Chim in this study is significantly higher than that reported by previous studies, such as Triet et al () and Tan et al (). The survey that was conducted by Triet et al found only 42 non‐native plant species, while Tan et al recorded 44 plant species.…”

Section: Discussioncontrasting

confidence: 76%

“…By screening for 84 non‐native species by using eco‐physiological filters, 10 species were identified as invasive or potentially invasive. Of these 10 species, five species also were identified by other studies, such as Triet et al () and Tan et al (), as being among the most concerning invasive plants: M. pigra , P. repens , E. crassipes , S. cucullata and Leersia hexandra . This study's findings might show a different trend of invasion by these species.…”

Section: Discussionmentioning

confidence: 60%

“…However, the threat of these species to different protected areas varies by both species and ecosystem. Tan et al (2012) conducted a study in order to assess plant invasions in protected areas of Vietnam, using international protocols for such. The authors used seven criteria, based on the protocol of the Massachusetts Invasive Plant Advisory Group (2005) and in accordance with the Ministry of Natural Resources and Environment, Vietnam (2011).…”

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confidence: 99%

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Quick assessment of the invasiveness of non‐native plant species by using eco‐physiological parameters in Tram Chim National Park, Vietnam

Truong

2016

Weed Biology and Management

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Using eco‐physiological parameters, a quick assessment of the invasiveness of non‐native plant species was conducted in Tram Chim National Park, a Ramsar site that is located in the Mekong River Delta region of Vietnam. An investigation of non‐native species and a vegetation analysis were carried out along 25 line transects and in 50 quadrats by using the Braun–Blanquet method. The researchers identified 84 non‐native plant species but only 31 species were naturalized in the wetland ecosystems. Twenty of those 31 species with a high importance value index were screened by using a parameter that was obtained from chlorophyll a fluorescence measurement, the performance index. Five species were identified as invasive and five others were predicted to be potentially invasive. The first group of five species were: M imosa pigra, P anicum repens, E ichhornia crassipes, S alvinia cucullata and L eersia hexandra, which already had been confirmed as important weeds in the national park by previous studies. From the second group, two species ( L udwigia hyssopifolia and S accharum spontaneum) already are becoming prominent species in some locations. The three remaining species ( M onochoria hastata, I sachne globosa and M arsilea quadrifolia) are likely to become invasive in the future.

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Section: Discussioncontrasting

confidence: 76%

Section: Discussionmentioning

confidence: 60%

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confidence: 99%

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Quick assessment of the invasiveness of non‐native plant species by using eco‐physiological parameters in Tram Chim National Park, Vietnam

Truong

2016

Weed Biology and Management

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“…Therefore, it is evident that the road and trail provided suitable habitats for C. hirta in our study area. Abundant nonnative plants have also been found along roads and trails in protected areas and national parks around the world, such as Chile (Pauchard & Alaback, 2004), Vietnam (Tan, Thu, & Dell, 2012), and Indonesia (Kudo, 2014). Therefore, the colonization of protected areas by alien species using roads and trails appears to be common across the tropics.…”

Section: Comparison Of the Abundance Of C Hirta Among Land-use Typesmentioning

confidence: 99%

The Distribution of an Invasive Species, Clidemia hirta Along Roads and Trails in Endau Rompin National Park, Malaysia

Cao

Fukumori

Hosaka

et al. 2018

Tropical Conservation Science

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Invasive species pose a grave threat to many national parks. Construction of roads and trails for tourism may facilitate invasion of alien species. To understand the effect of road and trail construction on invasive species, we established six transects in three land-use types (forest interior and road or trail edges) in Endau Rompin National Park, Johor, Malaysia, where we measured the number of an invasive shrub, Clidemia hirta (Melastomataceae), canopy openness, and soil properties; compared the density of C. hirta between the three land-use types; and finally, identified soil and canopy variables affecting its abundance using generalized linear mixed models. C. hirta was found along the road and trail with density ranging from 0.0 m À2 to 33 m À2 (average: 3.8 m À2 ), but was not found in the forest interior. Generalized linear mixed models suggested that canopy openness and soil pH negatively affected the density of C. hirta along the road, as did total soil nitrogen along the trail. This suggests that C. hirta was more abundant along dark and nutrient-poor road and trail edges. The construction of narrow roads (2.0-3.8 m) and trails (0.5-2.0 m wide) at our site would be considered a relatively minor disturbance without intensive clear cuts, and C. hirta seemed to prefer habitats with such minor disturbances. In the tropical rainforests, the managers or conservationists of the national park should include consideration of the effects such as minor disturbances have on invasive species.

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“…Undersampling is the most common bias that prevents an accurate estimation of species richness in a region (Chao et al 2017). While a thorough field investigation avoids undersampling, this approach is time consuming and labor intensive (Tan et al 2012;Reese et al 2013;Tomasetto et al 2013). Thus, the practical need to efficiently estimate non-native plant richness calls for the development of robust estimation models.…”

Section: Introductionmentioning

confidence: 99%

Estimating non‐native plant richness with a species‐accumulation model along roads

Liao

Wang

Dong

et al. 2019

Conservation Biology

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Monitoring non‐native plant richness is important for biodiversity conservation and scientific research. The species‐area model (SA model) has been used frequently to estimate the total species richness within a region. However, the conventional SA model may not provide robust estimations of non‐native plant richness because the ecological processes associated with the accumulation of exotic and native plants may differ. Because roads strongly dictate the distributions of exotic plants, we propose a species‐accumulation model along roads (SR model), rather than an SA model, to estimate the non‐native plant richness within a region. Using 270 simulated data sets, we compared the differences in performance between the SR and SA models. A decision tree based on prediction accuracy was created to guide model application, which was validated using field data from 3 national nature reserves in 3 different provinces in China. The SR model significantly outperformed the SA model when non‐native species were restricted to the roadsides and the proportion of uncommon exotic species was small. More importantly, the SR model accurately estimated the non‐native plant richness in all field sites with an error of <1 species per site. We believe our new model meets the practical need to efficiently and robustly estimate non‐native plant richness, which may facilitate effective biodiversity conservations and promote research on non‐native plant invasion and vegetation dynamics.

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Invasive Plant Species in the National Parks of Vietnam

Cited by 26 publications

References 14 publications

Quick assessment of the invasiveness of non‐native plant species by using eco‐physiological parameters in Tram Chim National Park, Vietnam

Quick assessment of the invasiveness of non‐native plant species by using eco‐physiological parameters in Tram Chim National Park, Vietnam

The Distribution of an Invasive Species, Clidemia hirta Along Roads and Trails in Endau Rompin National Park, Malaysia

Estimating non‐native plant richness with a species‐accumulation model along roads

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