scholarly journals Invasive alien species on islands: impacts, distribution, interactions and management

2017 ◽  
Vol 44 (4) ◽  
pp. 359-370 ◽  
Author(s):  
JAMES C. RUSSELL ◽  
JEAN-YVES MEYER ◽  
NICK D. HOLMES ◽  
SHYAMA PAGAD

SUMMARYInvasive alien species (IASs) on islands have broad impacts across biodiversity, agriculture, economy, health and culture, which tend to be stronger than on continents. Across small-island developing states (SIDSs), although only a small number of IASs are widely distributed, many more, including those with greatest impact, are found on only a small number of islands. Patterns of island invasion are not consistent across SIDS geographic regions, with differences attributable to correlated patterns in island biogeography and human development. We identify 15 of the most globally prevalent IASs on islands. IAS impacts on islands are exacerbated through interactions with a number of other global change threats, including over-exploitation, agricultural intensification, urban development and climate change. Biosecurity is critical in preventing IAS invasion of islands. Eradication of IASs on islands is possible at early stages of invasion, but otherwise is largely restricted to invasive mammals, or otherwise control is the only option. Future directions in IAS management and research on islands must consider IASs within a broader portfolio of threats to species, ecosystems and people's livelihoods on islands. We advocate for stronger collaborations among island countries and territories faced with the same IASs in similar socio-ecological environments.

2021 ◽  
Vol 4 ◽  
Author(s):  
Karolina Bacela-Spychalska ◽  
Annette Taugbøl ◽  
Wiesław Babik ◽  
Maciej Pabijan ◽  
David Strand ◽  
...  

Pond ecosystems are hotspots of freshwater biodiversity, often containing many rare and protected species that are not commonly found elsewhere (Harper et al. 2018;Harper et al. 2019). However, even if they constitute c.a. 30% of freshwaters by area, still not enough effort has been put into pond monitoring and management and pond ecosystems are hence relatively poorly understood. Results of ECOPOND project will lead to add valuable knowledge upon pond diversity in geographic gradient taking for consideration human impact by comparing rural and urban areas. The sample design in ECOPOND includes six geographic regions, spanning from the south of Poland to the middle of Norway, where we will sample five replicates of urban and rural ponds in close geographic proximity, making it possible to test the impact of urbanization on biodiversity and biotic homogenization across latitude. We will sample all ponds at spring and late summer, making it possible to assess also seasonality in biodiversity. ECOPOND will utilize environmental DNA and RNA to perform biodiversity screening. The extracted eDNA and eRNA fragments will be amplified with the use of several selected markers for vertebrates, invertebrates, fungi and bacteria. Comparisons between eDNA and eRNA metabarcoding are hypothesized to allow inference between present and past diversity, as eRNA is thought to be only available from live organisms in the community. Moreover, ECOPOND aims at testing the effects of selected invasives species that can have on whole ecosystems. By sampling a range of biotic and abiotic parameters describing studied ponds, we will incorporate the available data for the ponds and employ occupancy modelling methods to assess the habitat preferences of selected invasive alien species. Then we will develop a method that can contribute towards an earlywarning system of evaluating threats to ecosystem status. One of the focus species will be the parasitic fungus Batrachochytrium dendrobatidis (Bd), an infectious fungal pathogen that has caused a number of amphibian declines and extinctions. The European amphibians seem less affected by the parasite at present. However, the fungi could be a direct driver of reduced genetic variation due to selection, or directly reduce the infected amphibian’s overall fitness by reducing the microbiotic diversity on their skin, which in many cases acts as a second immune system. ECOPOND will therefore provide data on genomic variation (using RADseq) for two amphibian species: the smooth newt (Lissotriton vulgaris) and the common toad (Bufo bufo). We will investigate populations of these species inhabiting ponds that are infected and not infected by Bd as well as collect data on their skin microbes (identified using metabarcoding). We will also contrast the genomic diversity between the replicated urban/rural setup and look for repeatable genomic changes. This setup will also be compared for the genomic variation for a potential native prey, the blue-tailed dragonfly, as will ponds with and without fish and/or amphibians (possibly also comparing between native and IAS top-predators) in order to look for predatory selective sweeps in the genome and transcriptome (experimental setup). All ponds will also be analyzed for over 20 water quality parameters and include data on a range of site characteristics that will be used as explanatory variables in all models. ECOPOND will compare large datasets across large geographic regions and will provide detailed knowledge of biodiversity patterns in vertebrates, invertebrates, fungal and microbial species, as well as genomic composition and skin biodiversity for animals inhabiting the same ponds set in an urban context. As a total, ECOPOND will obtain data on the location and status of biodiversity interests, gather data that can help in preventing the establishment of invasive alien species, and eradicating or controlling species that have already become established. And finally, ECOPOND will work closely with stakeholders and develop statistical techniques that can be used for monitoring, detection and protection of biodiversity.


2020 ◽  
Author(s):  
Jacopo Cerri ◽  
Sandro Bertolino ◽  
Lucilla Carnevali ◽  
Andrea Monaco ◽  
Piero Genovesi

Blacklists of invasive alien species are a popular tool to manage and prevent biological invasions. Furthermore, by providing accessible examples of invasive alien species and by having a certain media resonance, they can in principle raise the awareness and make laypeople curious towards this topic. However, no study ever tested for this side-effect of blacklists. We tested if the implementation of the first blacklist of invasive alien species of the European concern, by the European Union in August 2016, increased visits to Wikipedia pages about invasive alien mammals in Italy. We adopted Bayesian Structural Time Series, using native mammals as a synthetic control, and we considered both invasive alien mammals that appeared on the list and those which were not included.Following the publication of the first European blacklist of invasive alien species, there was no increase in the amount of weekly visits to the Wikipedia pages about invasive mammals. This was true both for species that were included in the list and those which were not. Rather increased search volumes were syncronous to other events that had media resonance. Our results indicate that important policymaking initiatives, do not necessarily raise public awareness about biological invasions, even when these policies, such as blacklists, are easy to understand and have a certain media coverage. We emphasize the importance of coupling them with adequate communication campaigns and also to develop communication guidelines for the media.


2021 ◽  
Vol 13 (11) ◽  
pp. 6152
Author(s):  
Eunyoung Kim ◽  
Jaeyong Choi ◽  
Wonkyong Song

Invasive alien species (IAS) not only displace nearby indigenous plants and lead to habitat simplification but also cause severe economic damage by invading arable lands. IAS invasion processes involve external forces such as species characteristics, IAS assemblage traits, environmental conditions, and inter-species interactions. In this study, we analyzed the invasion processes associated with the introduction and spread of Ageratina altissima, a representative invasive plant species in South Korea. We investigated 197 vegetation quadrats (2 × 20 m) in regions bordering 47 forests in southern Seoul and Gyeonggi-do, South Korea. A total of 23 environmental variables were considered, which encompassed vegetation, topography, land use, and landscape ecology indices. The model was divided into an edge and an interior model and analyzed using logistic regression and a decision tree (DT) model. The occurrence of Ageratina altissima was confirmed in 61 sites out of a total of 197. According to our analysis, Ageratina altissima easily invaded forest edges with low density. The likelihood of its occurrence increased with lower elevation and gentler slope. In contrast, the spread of Ageratina altissima in the forest interior, especially based on seed spread and permeability, was favored by a lower elevation and gentler slopes. The analysis of Ageratina altissima settlement processes in forest edges coupled with the DT model demonstrated that land characteristics, such as the proximity to urbanized areas and the number of shrub and tree species, play a pivotal role in IAS settlement. In the forest interior, Ageratina altissima did not occur in 68 of the 71 sites where the soil drainage was under 2.5%, and it was confirmed that the tree canopy area had a significant impact on forest spread. Based on these results, it can be assumed that Ageratina altissima has spread in South Korean forests in much the same way as other naturalized species. Therefore, vegetation management strategies for naturalized species should be developed in parallel with land use management policy in regions surrounding forest edges to successfully manage and control Ageratina altissima invasion.


2021 ◽  
Vol 20 (1) ◽  
pp. 191-200
Author(s):  
Cong HUANG ◽  
Kun LANG ◽  
Wan-qiang QIAN ◽  
Shu-ping WANG ◽  
Xiao-mei CAO ◽  
...  

2021 ◽  
pp. 151-167
Author(s):  
Ibrahim Faridah‐Hanum ◽  
Abdul Latiff

Author(s):  
Yingzhen Li ◽  
Xiaofei Liu ◽  
Huiyun Zeng ◽  
Jingwen Zhang ◽  
Liyun Zhang

2021 ◽  
pp. 313-329
Author(s):  
Stanford Mudenda Siachoono ◽  
Stephen Syampungani ◽  
Jhonnah Mundike

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