Review Article |
Corresponding author: Elizabeth J. Golebie ( golebie2@illinois.edu ) Academic editor: Sidinei Magela Thomaz
© 2022 Elizabeth J. Golebie, Carena J. van Riper, Robert Arlinghaus, Megan Gaddy, Seoyeon Jang, Sophia Kochalski, Yichu Lu, Julian D. Olden, Richard Stedman, Cory Suski.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Golebie EJ, van Riper CJ, Arlinghaus R, Gaddy M, Jang S, Kochalski S, Lu Y, Olden JD, Stedman R, Suski C (2022) Words matter: a systematic review of communication in non-native aquatic species literature. NeoBiota 74: 1-28. https://doi.org/10.3897/neobiota.74.79942
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How scientists communicate can influence public viewpoints on invasive species. In the scientific literature, some invasion biologists adopt neutral language, while others use more loaded language, for example by emphasizing the devastating impacts of invasive species and outlining consequences for policy and practice. An evaluation of the use of language in the invasion biology literature does not exist, preventing us from understanding which frames are used and whether there are correlations between message framing in scientific papers and local environmental impacts associated with invasive species. Thus, we conducted a systematic literature review of 278 peer-reviewed articles published from 2008–2018 to understand communication styles adopted by social and natural scientists while reporting on aquatic non-native species research. Species-centered frames (45%) and human-centered frames (55%) were adopted to nearly equal degrees. Negative valence was dominant in that 81.3% of articles highlighted the negative risks and impacts of invasive species. Additionally, the use of terminology was found to broadly align with the stage of invasion, in that “invasive” was most commonly used except when the research was conducted at early stages of invasion, when “non-native” was most commonly used. Terminology use therefore enables readers of scientific papers to infer the status and severity of ongoing invasions. Given that science communication within the peer-reviewed literature affects public understanding of research outcomes, these findings provide an important point of reflection for researchers.
invasive species, message framing, science communication, spatial analysis, terminology
Biological invasions pose escalating threats to natural ecosystems, economies, and human well-being on a global scale (
Investigations of language use in literature can yield insight into the reasons “why” different framings are used across the social and natural sciences. It is possible that loaded language, such as militaristic framing, is a response to the degree of risk associated with invasive species (
There are three fundamental facets of invasive species communication. First, scientific results – among all other forms of information – are interpreted through message frames (
A second fundamental facet of communication is valence – defined as the positive, neutral, or negative tone adopted – which is considered highly influential in shaping judgment and behavior (
Lastly, terminology and the associated definitions of key concepts are central to non-native species communication. Debate among scientists regarding the precise uses of various terms, including “invasive,” has been ongoing for decades (
Messaging frames, valence and terminology used in the invasion science literature may be influenced by a variety of factors (Fig.
Illustration of relationships explored in this study, including five explanatory variables (i.e., study discipline, study focus, stages of invasion, transportation vector, and biodiversity context) that influenced three facets of invasive species communication (i.e., message frame, valence, terminology).
Characteristics of authors conducting and publishing research on non-native species may also influence the frameworks adopted, and, in turn, their strategy for communicating scientific results. Indeed, previous research has indicated that communication is influenced by the professional background of scientists and worldviews that emerge from different disciplines (
The objectives or goals of a scientific article, referred to in this paper as “study focus,” can also affect its communication style. Previous research on non-native species has been motivated by a variety of concerns that can be categorized into four areas of inquiry. First, many studies have sought to assess the risk of invasive species transport or determine the most effective prevention methods (
Previous research has underscored the importance of recognizing stages of invasion to unify approaches to understanding invasions and the ways they are discussed (
Transportation vectors, defined as the mechanism by which species are carried along a pathway, may affect the way that researchers communicate about non-native species in the literature. For instance, intentional vectors, such as biocontrol, fish stocking (
Finally, scientists develop their communication styles in the specific social and ecological environment in which their study sites and own experiences are situated. There is spatial variation in the fraction of local species richness from non-native species, the degree of impacts attributable to these organisms and the corresponding policy efforts. Researchers are personally exposed to variation in the strength and impacts of non-native species, which may affect their language in scientific studies. Specifically, the use of strong language may be a response to the degree of risk associated with invasive species in the region given the relationship between risk perceptions and message framing (
We conducted a systematic review of aquatic non-native species literature to explore the message frames, valence, and terminology used in research, as well as the reasons why these communication strategies were adopted. Aquatic invasive species cause significant ecological impacts (
This systematic literature review (
Flow diagram detailing the article search and screening process for a systematic review of aquatic non-native species management.
In addition to searching keywords in the topic (TS), the search strings specified the language to be English and the country (CU) to be the United States. We limited articles to English-language studies from the United States (including Puerto Rico) given the focus on communication; accounting for cultural differences or variation across languages was outside the scope of this study. Additionally, we used a 10.5-year time from January 2008 through July 2018. The 10.5 year timeframe was chosen to provide a snapshot of recent articles published after considerations around language were brought to light (e.g.,
In the first stage of screening, we read 665 titles and abstracts to determine whether the following criteria were met: 1) conducted in the United States; 2) speaks to management of non-native species; 3) studies an aquatic ecosystem. The 445 articles that met the first stage of screening criteria were advanced to the second stage of screening. During the second stage of screening, we read the full article, and articles that did not meet the following criteria were excluded: 1) conducted in the United States, 2) study objectives pertain to management of non-native species; 3) the study ecosystem is aquatic; 4) peer-reviewed article that is article-length and not a book. The final pool included 278 articles, distributed across the 10.5-year window used for the review (Fig.
To provide an overview of the types of studies included in the review, we recorded key characteristics of each study, including location of the study site, species studied, journal outlet, and affiliation of the lead author. Our systematic review unearthed published studies that were conducted across the United States (Fig.
Geographic locations of study sites across 278 articles that reported on findings from aquatic non-native species research. Each point represents one study and shows its location in relation to other studies across A the contiguous United States B Alaska and C Hawaii.
First, we coded each article for three facets of communication: message frame, valence and terminology. Message frame was categorized as either human-centered or species-centered (Table
Message frames and valences that were coded from peer-reviewed articles about non-native aquatic species management.
Definition | Example | |
---|---|---|
Message frame | ||
Human-centered | Research focused on the human drivers or causes of species introductions or centered on human responsibilities for taking action | Zebra mussels are spread by recreational boaters |
Species-centered | Research focused on the species themselves as drivers, at times anthropomorphizing the species; no discussion of human influences | Zebra mussels filter water and reduce food availability lower in the food web |
Valence | ||
Positive | Benefits of the study species are discussed or predicted | Zebra mussels filter algae and make water clearer |
Neutral | Both positive and negative impacts, or no effects at all, are described | Zebra mussels make water clearer, but also reduce food availability for desirable species in the food web |
Negative | A study species is described as problematic or its negative effects are detailed | Zebra mussels make water clearer but also reduce food availability for desirable species in the food web |
Each article was next categorized according to its positive, negative or neutral valence. Specifically, the introduction section was coded as expressing positive valence when the benefits of a study species were discussed or predicted, whereas negative valence was indicated when the study species was described as problematic or its negative effects were detailed. The article was coded as having neutral valence if positive and negative impacts were both described, or no effects at all. Again, two independent coders identified the valence; interrater reliability indicated substantial agreement (κ = 0.620; percent agreement = 88%), and when there was disagreement on valence (n = 33), the article was discussed until agreement was reached. Terminology was assessed quantitatively. The text of each article, excluding the references, was searched for seven common terms used to refer to aquatic non-native species (i.e., alien, exotic, introduced, invasive, non-indigenous, nuisance, non-native), and the number of times each term appeared in the article was tallied.
Second, data reflecting four explanatory variables – study discipline, study focus, stage of invasion, and transportation vector – were extracted from each article. Study discipline was classified by identifying whether the disciplinary orientation and methods used were in line with the biological sciences, social sciences or an interdisciplinary approach. Data drawn from plants, animals or ecosystems were classified as “biological sciences”, whereas data drawn from humans (e.g., methods involving surveys or interviews) were classified as “social sciences”. Study focus was derived from the stated objective of the paper and categorized as: “prevention” when objectives related to risk assessments or analysis of prevention measures; “monitoring” when objectives dealt with detecting or identifying non-native species; “understanding” when objectives pertained to analyzing the impacts or ecological characteristics of a species; and “control” when objectives related to the evaluation of management or control methods. The stage of invasion was identified based on the description of the study population provided in the introduction or methods of the paper. In some cases, the stage of invasion was explicitly stated; when it was not stated, articles were coded as “transportation” if the species was in the process of moving to a new location, “introduction” if the species had been released at a new location, “establishment” if the species had survived at the new location or “spread” if the species had spread beyond the initial point of introduction (
Finally, we collected information on biodiversity context. We defined biodiversity context as watershed-level estimates of the percent of aquatic species classified as non-native where the study was conducted. We determined native and non-native species occurrence within watersheds of the contiguous United States using the NatureServe Central Database, the United States Geological Society (USGS) Non-indigenous Aquatic Species Database, the Early Detection and Distribution Mapping System (EDDMapS) and the USGS Biodiversity Serving Our Nation (BISON) database. These databases contained native and non-native species occurrences (defined as a species introduced from outside its native range) that were sourced from the literature, museums, databases, monitoring programs, state and federal agencies, professional communications, online reporting forms, and hotline reports. Occurrence records were geo-referenced to watersheds according to USGS hydrological unit code 8 (HUC 8) using ArcGIS (v. 10.3.1).
Quantitative analyses were performed to define relationships between language use and the selected characteristics in the included articles. First, predictors of message frame were assessed using multinomial logistic regression with study discipline (i.e., biological science, social science and interdisciplinary), study focus (i.e., prevention, monitoring, understanding, or control), invasion stage (i.e., transportation, introduction, establishment, or spread) and transportation vector (i.e., natural, unintentional, intentional, both, all, or not mentioned) as fixed effects. The model did not exhibit large over-dispersion (residual deviance = 243, with 226 degrees of freedom). Second, predictors of valence (i.e., biological, interdisciplinary or social) were assessed using multinomial logistic regression with the same fixed effects used in the message frame model. Because only one study was coded as positively valanced, that study was excluded from analysis. Thus, the dependent variable was a binary categorical variable; studies were either negative or neutral. This model also did not exhibit large over-dispersion (residual deviance 212 on 224 degrees of freedom). Finally, the use of terminology was modeled as a function of four explanatory variables (i.e., study focus, study discipline, stage of invasion, and transportation vector) using multivariate redundancy analysis (RDA) in the R package ‘vegan’ (
Lastly, we tested whether language use in articles was associated with the biodiversity context in which the study was conducted. Comparisons of the percent of non-native species and types of message frames and valence were assessed using Wilcoxon rank sum tests with continuity correction and the relationship between percent non-native species and the overall article frequency of invasive species terminology (number of occurrences of the words: invasive, introduced, exotic, non-native, alien, nonindigenous, nuisance) was evaluated using simple linear regression.
The articles included in this systematic review exhibited diverse patterns in message framing, valence and terminology. An approximately equal number of articles were classified as using species-centered language (45.0%) versus human-centered language (55.0%). Valence was predominately negative (81.3%) across articles, with only one study framed positively (0.4%), and the remainder framed neutrally (18.3%). Finally, the term “invasive” was used most often in the published literature; 95.3% of the articles included this term on at least one occasion. Many articles also included the terms “introduced” (70.5%), “non-native” (57.9%), “nuisance” (29.9%), “exotic” (27.7%), “non-indigenous” (23.4%), and “alien” (10.4%).
Examining study discipline, we found that biological sciences (84.5%) was dominant, with a minority of studies drawing on environmental social science (12.6%) and interdisciplinary methods (2.9%). Study focus was split among prevention (25.2%), monitoring (9.4%), understanding species impacts (31.3%), and control of the species (27.0%). A majority of articles (61.5%) were conducted during the spread stage of invasion, with fewer results published on the transport (5.4%), introduction (10.8%) or establishment (14.0%) stages. Stages of invasion were not relevant for several articles (8.3%); this category was excluded from further analysis. Intentional and unintentional spread were each discussed in approximately one quarter (24.1%) of the articles. Many studies (37.1%) did not report transportation vector, 9.0% covered multiple types of vectors, and only 5.8% focused on natural dispersal rather than human causes.
Both transportation vector (χ2(5) = 38.600; p<.001) and study focus χ2(3) = 15.616; p<.001) significantly predicted message frames. Message frame, transportation vector and study focus showed strong associations within the published literature (χ2(13) = 89.756; p<.001). Specifically, species-centered frames were used more frequently when the study focus was “understanding” impacts or “control”, whereas human-centered frames were used more frequently when the study focus was “prevention” (Table
Predictors of human-centered (reference level) vs. species-centered framing in peer-reviewed articles focused on non-native aquatic species management. Significant results are highlighted in bold.
Variable | B | Standard error | Z | p | Exp(B) |
---|---|---|---|---|---|
Intercept | 0.272 | 0.954 | .286 | 0.775 | 1.313 |
Study discipline1 | |||||
Interdisciplinary | -0.315 | 1.168 | -0.270 | 0.787 | 0.730 |
Social sciences | 0.381 | 0.832 | 0.457 | 0.647 | 1.463 |
Study focus2 | |||||
Monitoring | -0.920 | 0.626 | -1.469 | 0.142 | 0.398 |
Understanding | -1.187 | 0.488 | -2.433 | 0.015 | 0.305 |
Control | -1.886 | 0.496 | -3.804 | <0.001 | 0.152 |
Stage of invasion3 | |||||
Introduction | 0.074 | 1.034 | 0.072 | 0.943 | 1.077 |
Establishment | -0.287 | 0.967 | -0.297 | 0.766 | 0.750 |
Spread | -0.340 | 0.886 | -0.384 | 0.701 | 0.712 |
Transportation vector4 | |||||
Natural | 0.999 | 0.591 | 1.690 | 0.091 | 2.716 |
Human (unintentional) | 2.159 | 0.479 | 4.503 | <0.001 | 8.660 |
Human (intentional) | 2.014 | 0.400 | 5.043 | <0.001 | 7.494 |
Human (Both) | 1.616 | 0.780 | 2.071 | 0.038 | 5.033 |
All | 2.198 | 1.156 | 1.902 | 0.057 | 9.005 |
We found a strong relationship between frame use and transportation vector. Human-centered frames were more common when human vectors were emphasized; when no vectors were emphasized, the species-centered frame dominated (Fig.
Comparison of A negative (red) vs. neutral (black) valence, and B human-centered (blue) vs. species-centered (green) message frames according to four study attributes including study discipline, study focus, stages of invasion, and transportation vector. Width of each column indicates the proportion of studies falling into each category. Comparisons between negative vs. neutral valence and human vs. species centered frames are likewise indicated proportionally in each graph.
Relationship between non-native species richness (% of total species) in watershed of the study site and language use within the study, including message frame A and valence B.
Negative valence was used more often for studies that focused on preventing the spread of invasive species or the evaluation of control options, in contrast to monitoring studies (Fig.
Predictors of negative (reference level) vs. neutral valence in peer-reviewed articles regarding non-native aquatic species management. Significant results are highlighted in bold.
Variable | B | Standard error | Z | p | Exp(B) |
---|---|---|---|---|---|
Intercept | 2.394 | 1.191 | 2.010 | 0.044 | 10.959 |
Study discipline1 | |||||
Interdisciplinary | 14.243 | 956.232 | 0.015 | 0.988 | 1533180 |
Social sciences | 0.130 | 1.111 | 0.117 | 0.907 | 1.139 |
Study focus2 | |||||
Monitoring | -1.926 | 0.731 | -2.637 | 0.008 | 0.146 |
Understanding | -1.462 | 0.642 | -2.275 | 0.023 | 0.232 |
Control | -0.719 | 0.679 | -1.059 | 0.290 | 0.487 |
Stages of invasion3 | |||||
Introduction | 0.499 | 1.305 | 0.382 | 0.702 | 1.647 |
Establishment | -0.970 | 1.182 | -0.821 | 0.412 | 0.379 |
Spread | -0.075 | 1.138 | -0.066 | 0.948 | 0.928 |
Transportation vector4 | |||||
Natural | 0.120 | 0.667 | 0.180 | 0.857 | 1.128 |
Human (unintentional) | 0.364 | 0.551 | 0.660 | 0.509 | 1.439 |
Human (intentional) | 0.228 | 0.430 | 0.528 | 0.597 | 1.255 |
Human (Both) | 1.308 | 1.144 | 1.143 | 0.253 | 3.698 |
All | 0.387 | 1.192 | 0.324 | 0.746 | 1.472 |
Relationships between terminology and the four predictor variables were assessed through RDA, where the first two axes explained 13% of the variation in terminology use (F13,224 = 3.3, p = 0.001, Fig.
Permutation test and marginal effects of four explanatory variables on terminology use. The total sum of all Eigenvalues is 0.055. Significant results are highlighted in bold.
Variable | df | Variance | F | p | Eigenvalue using only one explanatory variable | Eigenvalue as % |
---|---|---|---|---|---|---|
Study discipline1 | 2 | 0.002 | 0.7 | 0.702 | 0.000 | 0.00 |
Study focus 2 | 3 | 0.014 | 3.5 | <0.001 | 0.019 | 0.34 |
Stages of invasion 3 | 3 | 0.017 | 4.2 | <0.001 | 0.023 | 0.41 |
Transportation vector 4 | 5 | 0.013 | 2.0 | 0.009 | 0.010 | 0.18 |
Residual | 224 | 0.298 |
Redundancy analysis (RDA) of the terminology used in scientific publications (grey rectangles) concerned with invasive species management in the United States from 2008–2018. Eigenvectors (site scores) are scaled to their square-root. In total, 13.3% of variance is explained. Corresponding reference levels and further statistics are listed in Table
The overall frequency of non-native terminology used in each article was positively related to the percent of non-native species in the watershed where the study was conducted (Fig.
Our study aimed to quantify patterns and drivers of language use in the scientific aquatic non-native species literature in the United States. We discovered considerable variation in communication strategies used by scientists, including message frame, valence, and terminology. We contend that the factors explaining variation in communication patterns can be better understood through knowledge of message framing. Specifically, we observed that species-centered vs. human-centered frames strongly related to transportation vector and study focus, indicating that the role of humans tends to be highlighted when there is greater urgency in preventing the spread of non-native species, whereas the role of the species itself is centered when transportation vectors are not mentioned and the focus is on control. Aligned with previous research (
We found researchers adopted message framing that aligned with a stated study focus. When an objective pertaining to risk assessment or a focus on prevention was expressed, human-centered frames were more common, corresponding to the important role humans play in curbing the spread of invasive species (
The finding that negative valences were predominant in scientific papers is not surprising given the focus of the literature review on non-native species management, rather than targeting bodies of work on, for instance, stocking fish for capture fisheries. Accordingly, our selection of keywords (e.g., “invasive”) may not always be used in studies of introduced species that are beneficial, although this is very unlikely to be the case given the need to comment on the negative impacts of non-native species even when reporting positive outcomes (e.g.,
The use of terminology broadly aligned with recommendations in previous research to be deliberate about defining concepts and study contexts in invasion biology (
Language use showed some evidence of being related to the regional biodiversity context in which the study was conducted. Specifically, in watersheds containing relatively more non-native species, studies were more likely to use species-centered frames. Past work has shown species-centered frames to be more effective in raising stakeholder engagement in preventative behaviors (
A strikingly small proportion of studies within the biological invasion literature were conducted through an environmental social science lens. Given the role of recreationists in non-native species transport (
In conclusion, our work quantifies how published literature on aquatic non-native species research conveys varied message framing, valence and terminology. We show that authors of peer-reviewed journal articles are effectively using standardized terminology established in past work. For instance, we found limited evidence for inflammatory or exaggerative framings being dominant within peer-reviewed published literature from 2008 to 2018. Additionally, message frames evoked in these articles are correlated with study focus and local biodiversity context, indicating that language use is tailored to contextual conditions. We encourage researchers to be aware of how their language might be influenced by such factors and actively consider whether communication choices match the study goals. Future work should seek to evaluate language use in public-facing communication to identify relationships between public and academic communication, as well as the impacts of communication style on public perceptions of invasion biology research. Understanding the role of science communication more broadly in public understanding of invasion biology and support for management decisions is an important direction for future research.
Funding for this research was provided by the Great Lakes Fishery Commission (contract: 2018_VAN_44076) and USDA National Institute of Food and Agriculture Hatch program (accession #: 1012211).
Codebook
Data type: Docx file.
Explanation note: Detailed description of the coding parameters for clasifying each article in the review.