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298 results for “biological invasions”
Data from: Genetic drift during the spread phase of a biological invasion
Recent theoretical and experimental models have evidenced the role played by evolution during species spread, and particularly question the influence of genetic drift at range edges. By investigating the spread of an aquatic invader in patchy habitats, we quantified genetic drift and explored its consequences on genetic diversity and fitness. We examined the interplay of gene flow and genetic drift in 36 populations of the red swamp crayfish, Procambarus clarkii, in a relatively recently invaded wetland area (30 years, Brière, northwestern France). Despite the small spatial scale of our study (15 km²), populations were highly structured according to the strong barrier of land surfaces and revealed a clear pattern of colonisation through watercourses. Isolated populations exhibited small effective sizes and low dispersal rates that depended on water connectivity, suggesting that genetic drift dominated in the evolution of allele frequencies in these populations. We also observed a significant decrease in the genetic diversity of isolated populations over only a two-year period, but failed to demonstrate an associated fitness cost using fluctuating asymmetry. This study documents the possible strong influence of genetic drift during the spread of a species, and such findings provide critical insights in the current context of profound rearrangements in species distributions due to global change.
Disconnects between communicated impact and ecological impact of biological invasions
<p>Although scientists strive to accurately communicate their research, disconnects can arise between results and rhetoric. Some have regarded invasion scientists as particularly prone to using value-laden language incommensurate with the scientific facts or results. We addressed how authors used 10 near synonyms (words for which usage is similar but not completely overlapping) of the negative-value word invasive. We asked whether study findings (effect sizes) or other factors predicted language use. The use of negative-value words such as invasive was not associated with study findings but, instead, with contextual factors. For example, plant and invertebrate biologists used more negative language to describe nonnatives than did those studying vertebrates. The authors also tended to use more negative language in recently published papers than in older studies. Although many have called for impartial language when communicating research, some scientists use language imbued with value that may be inappropriate. Such use may affect how the public perceives scientific findings.</p>
Data from: Hybrid 'superswarm' leads to rapid divergence and establishment of populations during a biological invasion
Understanding the genetic background of invading species can be crucial information clarifying why they become invasive. Intraspecific genetic admixture among lineages separated in the native ranges may promote the rate and extent of an invasion by substantially increasing standing genetic variation. Here, we examined the genetic relationships among threespine stickleback that recently colonized Switzerland. This invasion results from several distinct genetic lineages that colonized multiple locations and have since undergone range expansions, where they coexist and admix in parts of their range. Using 17 microsatellites genotyped for 634 individuals collected from 17 Swiss and two non-Swiss European sites, we reconstruct the invasion of stickleback and investigate the potential and extent of admixture and hybridization among the colonizing lineages from a population genetic perspective. Specifically, we test for an increase in standing genetic variation in populations where multiple lineages coexist. We find strong evidence of massive hybridization early on, followed by what appears to be recent increased genetic isolation and the formation of several new genetically distinguishable populations, consistent with a hybrid 'superswarm'. This massive hybridization and population formation event(s) occurred over approximately 140 years and likely fuelled the successful invasion of a diverse range of habitats. The implications are that multiple colonizations coupled with hybridization can lead to the formation of new stable genetic populations potentially kick-starting speciation and adaptive radiation over a very short timescale.
Data from: Rapid response to changing environments during biological invasions: DNA methylation perspectives
Dissecting complex interactions between species and their environments has long been a research hot spot in the fields of ecology and evolutionary biology. The well-recognized Darwinian evolution has well-explained long-term adaptation scenarios; however, "rapid" processes of biological responses to environmental changes remain largely unexplored, particularly molecular mechanisms such as DNA methylation that have recently been proposed to play crucial roles in rapid environmental adaptation. Invasive species, which have capacities to successfully survive rapidly changing environments during biological invasions, provide great opportunities to study molecular mechanisms of rapid environmental adaptation. Here, we used the methylation-sensitive amplified polymorphism (MSAP) technique in an invasive model ascidian, Ciona savignyi, to investigate how species interact with rapidly changing environments at the whole-genome level. We detected quite rapid DNA methylation response: significant changes of DNA methylation frequency and epigenetic differentiation between treatment and control groups occurred only after 1 hr of high-temperature exposure or after 3 hr of low-salinity challenge. In addition, we detected time-dependent hemimethylation changes and increased intragroup epigenetic divergence induced by environmental stresses. Interestingly, we found evidence of DNA methylation resilience, as most stress-induced DNA methylation variation maintained shortly (~48 hr) and quickly returned back to the control levels. Our findings clearly showed that invasive species could rapidly respond to acute environmental changes through DNA methylation modifications, and rapid environmental changes left significant epigenetic signatures at the whole-genome level. All these results provide fundamental background to deeply investigate the contribution of DNA methylation mechanisms to rapid contemporary environmental adaptation.
Data from: A citation-based map of concepts in invasion biology
Invasion biology has been quickly expanding in the last decades, so that it is now metaphorically flooded with publications, concepts and hypotheses. Among experts, there is no clear consensus about the relationships between invasion concepts, and almost no one seems to have a good overview of the literature anymore. Similar observations can be made for other research fields. Science needs new navigation tools, so that researchers within and outside of a research field as well as science journalists, students, teachers, practitioners, policy-makers and others interested in the field can more easily understand its key ideas. Such navigation tools could, for example, be maps of the major concepts and hypotheses of a research field. Applying a bibliometric method, we created such maps for invasion biology. We analysed research papers of the last two decades citing at least two of 35 common invasion hypotheses. Co-citation analysis yields four distinct clusters of hypotheses. These clusters can describe the main directions in invasion biology and explain basic driving forces behind biological invasions. The method we outline here for invasion biology can be easily applied for other research fields.
FIGURE 41. A in Taxonomic history and invasion biology of two Phyllonorycter leaf miners (Lepidoptera: Gracillariidae) with links to taxonomic and molecular datasets
FIGURE 41. A preliminary DNA barcode (COI) library for global gracillariid species.
A global, multilingual evaluation of terms used in biological invasions and risk analysis
Open the record for dataset details and reuse information.
Figure 4 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 4 Work plan with full-time tasks (dark colour) and half-time tasks (light color) for the PI Heger (red), the PhD (blue) and student assistants (gray).
Figure 3 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 3 Interactive hypothesis development, based on a semantic model of hypotheses in the invasion biology domain (left) and a made-up example of a short interaction with an information-state-based dialogue system that iteratively refines a hypothesis introducing domain-specific terms in collaboration with the user (right, resolved questions appear in grey, questions under discussion in yellow).
Figure 5 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 5 Refining hypotheses as nested chains; data symbols indicate that this part of the chain has been tested with data for the South-African Ragwort; red crosses symbolize that this part of the chain has not been tested yet for this specific species.
Figure 1 from: Heger T, Zarrieß S, Algergawy A, Jeschke JM, König-Ries B (2022) INAS: Interactive Argumentation Support for the Scientific Domain of Invasion Biology. Research Ideas and Outcomes 8: e80457. https://doi.org/10.3897/rio.8.e80457
Figure 1 Screenshot of the website hiknowledge.org, showing a network of twelve major hypotheses on potential causes of biological invasions. The insert shows the hierarchy of hypotheses (HoH) for the disturbance hypothesis which can be retrieved by clicking on the respective dot in the network, with information on the numbers of studies supporting (green), questioning (red) or being undecided (grey) about the respective (sub)-hypotheses.
Data from: Reconstructing biological invasions using public surveys: a new approach to retrospectively assess spatio-temporal changes in invasive spread
[No abstract entered]
Figure 1 from: Suárez D, Martín S, Naranjo M (2018) First report of the invasive alien species Caenoplana coerulea Moseley, 1877 (Platyhelminthes, Tricladida, Geoplanidae) in the subterranean environment of the Canary Islands. Subterranean Biology 26: 67-74. https://doi.org/10.3897/subtbiol.26.25921
Figure 1 A location of "La Federica" mine (red dot) within Gran Canaria (Canary Islands) B topography of the mine. C.coerulea individuals were observed in the red shaded area.
Supplementary material 1 from: Janovsky RM, Larson ER (2019) Does invasive species research use more militaristic language than other ecology and conservation biology literature? NeoBiota 44: 27-38. https://doi.org/10.3897/neobiota.44.32925
: Data type: statistical data
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Annual average costs of biological invasions in Singapore. Note the y-axis is on a log10 scale
Supplementary material 2 from: Haubrock PJ, Cuthbert RN, Yeo DCJ, Banerjee AK, Liu C, Diagne C, Courchamp F (2021) Biological invasions in Singapore and Southeast Asia: data gaps fail to mask potentially massive economic costs. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 131-152. https://doi.org/10.3897/neobiota.67.64560
Database subset
Supplementary material 1 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Database of the economic costs of biological invasions in Mexico
Supplementary material 2 from: Rico-Sánchez AE, Haubrock PJ, Cuthbert RN, Angulo E, Ballesteros-Mejia L, López-López E, Duboscq-Carra VG, Nuñez MA, Diagne C, Courchamp F (2021) Economic costs of invasive alien species in Mexico. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 459-483. https://doi.org/10.3897/neobiota.67.63846
Economic sectors impacted by IAS in Mexico
Supplementary material 5 from: Cuthbert RN, Bartlett AC, Turbelin AJ, Haubrock PJ, Diagne C, Pattison Z, Courchamp F, Catford JA (2021) Economic costs of biological invasions in the United Kingdom. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 299-328. https://doi.org/10.3897/neobiota.67.59743
Figure S1
Supplementary material 3 from: Haubrock PJ, Cuthbert RN, Sundermann A, Diagne C, Golivets M, Courchamp F (2021) Economic costs of invasive species in Germany. In: Zenni RD, McDermott S, García-Berthou E, Essl F (Eds) The economic costs of biological invasions around the world. NeoBiota 67: 225-246. https://doi.org/10.3897/neobiota.67.59502
Description of the sectors considered in the InvaCost database
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