We are now over four decades into digitally managing the names of Earth's species. As the number of federating (i.e., software that brings together previously disparate projects under a common infrastructure, for example TaxonWorks) and aggregating (e.g., International Plant Name Index, Catalog of Life (CoL)) efforts increase, there remains an unmet need for both the migration forward of old data, and for the production of new, precise and comprehensive nomenclatural catalogs. Given this context, we provide an overview of how TaxonWorks seeks to contribute to this effort, and where it might evolve in the future. In TaxonWorks, when we talk about governed names and relationships, we mean it in the sense of existing international codes of nomenclature (e.g., the International Code of Zoological Nomenclature (ICZN)). More technically, nomenclature is defined as a set of objective assertions that describe the relationships between the names given to biological taxa and the rules that determine how those names are governed. It is critical to note that this is not the same thing as the relationship between a name and a biological entity, but rather nomenclature in TaxonWorks represents the details of the (governed) relationships between names. Rather than thinking of nomenclature as changing (a verb commonly used to express frustration with biological nomenclature), it is useful to think of nomenclature as a set of data points, which grows over time. For example, when synonymy happens, we do not erase the past, but rather record a new context for the name(s) in question. The biological concept changes, but the nomenclature (names) simply keeps adding up. Behind the scenes, nomenclature in TaxonWorks is represented by a set of nodes and edges, i.e., a mathematical graph, or network (e.g., Fig. 1). Most names (i.e., nodes in the network) are what TaxonWorks calls "protonyms," monomial epithets that are used to construct, for example, bionomial names (not to be confused with "protonym" sensu the ICZN). Protonyms are linked to other protonyms via relationships defined in NOMEN, an ontology that encodes governed rules of nomenclature. Within the system, all data, nodes and edges, can be cited, i.e., linked to a source and therefore anchored in time and tied to authorship, and annotated with a variety of annotation types (e.g., notes, confidence levels, tags). The actual building of the graphs is greatly simplified by multiple user-interfaces that allow scientists to review (e.g. Fig. 2), create, filter, and add to (again, not "change") the nomenclatural history. As in any complex knowledge-representation model, there are outlying scenarios, or edge cases that emerge, making certain human tasks more complex than others. TaxonWorks is no exception, it has limitations in terms of what and how some things can be represented. While many complex representations are hidden by simplified user-interfaces, some, for example, the handling of the ICZN's Family-group name, batch-loading of invalid relationships, and comparative syncing against external resources need more work to simplify the processes presently required to meet catalogers' needs. The depth at which TaxonWorks can capture nomenclature is only really valuable if it can be used by others. This is facilitated by the application programming interface (API) serving its data (https://api.taxonworks.org), serving text files, and by exports to standards like the emerging Catalog of Life Data Package. With reference to real-world problems, we illustrate different ways in which the API can be used, for example, as integrated into spreadsheets, through the use of command line scripts, and serve in the generation of public-facing websites. Behind all this effort are an increasing number of people recording help videos, developing documentation, and troubleshooting software and technical issues. Major contributions have come from developers at many skill levels, from high school to senior software engineers, illustrating that TaxonWorks leads in enabling both technical and domain-based contributions. The health and growth of this community is a key factor in TaxonWork's potential long-term impact in the effort to unify the names of Earth's species.
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Connecting the public with soil to improve human health
Despite the definite links between soil and human health, it is likely that most people do not think about soil when considering human health. There is a disconnect between most people in our modern society and soil, and when people notice soil it is often in a negative context. People care for things that matter to them, and creating a more positive public image of soil could improve human health by leading to better treatment and understanding of the soil resource. There are a number of concepts that may be able to connect people to the soil, including terroir, soil health and soil security. While terroir originally established a connection between those who appreciate wine and the soils that produce those wines, the concept has been expanded to many additional products. It might be possible to provide a terroir link to human health benefits if they can be shown to be characteristic of a given soil environment. The concept of soil health has caught on with many farmers, policymakers, scientists and the general public, thus providing another possible approach to improve peoples’ connection with soil. Soil security is a recent concept that has been advanced as a way to take advantage of the connection that concepts such as energy, food and water security have made with policymakers. Therefore, we advocate a concerted effort to investigate terroir, soil health and soil security as concepts to improve overall human health. Soil health and soil security might have the most promise, and some social marketing campaigns that include soil health are ongoing.
Soil is important to human health. A disconnect exists between the urban population and soil. Education about soil can rebuild these connections. Concepts such as terroir, soil health or soil security might help make connections.
- NSF-PAR ID:
- 10459944
- Publisher / Repository:
- Wiley-Blackwell
- Date Published:
- Journal Name:
- European Journal of Soil Science
- Volume:
- 70
- Issue:
- 4
- ISSN:
- 1351-0754
- Page Range / eLocation ID:
- p. 898-910
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract This paper argues for a re‐examination of the nature and goals of broad computing education initiatives. Instead of starting with specific values or goals, we instead begin by considering various desired endpoints of computing instruction and then work backward to reason about what form learning activities might take and what are the underlying values and principles that support learners in reaching these endpoints. The result of this exercise is a push for rethinking the form of contemporary computing education with an eye toward more diverse, equitable and meaningful endpoints. With a focus on the role that constructionist‐focused pedagogies and designs can play in supporting these endpoints, we examine four distinct cases and the endpoints they support. This paper is not intended to encompass all the possible alternate endpoints for computer science education; rather, this work seeks to start a conversation around the nature of and need for alternate endpoints, as a means to re‐evaluate the current tools and curricula to prepare learners for a future of active and empowered computing‐literate citizens.
Practitioner notes What is already known about this topic
There is a growing call for computing education to be a core educational component.
Computing education traditionally has a narrow goal of training people for programming jobs.
Computing education fails to connect with students underrepresented in STEM.
What this paper adds
An argument for why we need more and diverse endpoints to computing education.
That many possible endpoints for computing education can be more inclusive, just and equitable than software engineering.
Constructionism is a particularly useful paradigm for approaching and supporting alternate endpoints.
Implications for practice and policy
Helps reframe the goals of computing education, to truly be “for all.”
Provides a set of cases for how this reframing can be achieved.
Gives policy new lenses for understanding, evaluating and implementing computing education.
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Abstract Classifying the diverse ways that plants respond to hydrologic stress into generalizable ‘water‐use strategies’ has long been an eco‐physiological research goal. While many schemes for describing water‐use strategies have proven to be quite useful, they are also associated with uncertainties regarding their theoretical basis and their connection to plant carbon and water relations. In this review, we discuss the factors that shape plant water stress responses and assess the approaches used to classify a plant's water‐use strategy, paying particular attention to the popular but controversial concept of a continuum from isohydry to anisohydry.
A generalizable and predictive framework for assessing plant water‐use strategies has been historically elusive, yet recent advances in plant physiology and hydraulics provide the field with a way past these obstacles. Specifically, we promote the idea that many metrics that quantify water‐use strategies are highly dynamic and emergent from the interaction between plant traits and environmental conditions, and that this complexity has historically hindered the development of a generalizable water‐use strategy framework.
This idea is explored using a plant hydraulics model to identify: (a) distinct temporal phases in plant hydraulic regulation during drought that underpin dynamic water‐use responses, and (b) how variation in both traits and environmental forcings can significantly alter common metrics used to characterize plant water‐use strategies. This modelling exercise can bridge the divide between various conceptualizations of water‐use strategies and provide targeted hypotheses to advance the understanding and quantification of plant water status regulation across spatial and temporal scales.
Finally, we describe research frontiers that are necessary to improve the predictive capacity of the plant water‐use strategy concept, including further investigation into the below‐ground determinants of plant water relations, targeted data collection efforts and the potential to scale these concepts from individuals to whole regions.
A free
Plain Language Summary can be found within the Supporting Information of this article. -
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Societal Impact Statement Rafflesia is a genus of parasitic plants with the largest flowers in the world, unique to the threatened forest habitats of tropical Asia. Here, we report on genes that are active (the transcriptome) inRafflesia seeds as part of a larger effort to understandRafflesia .Rafflesia has never been grown successfully outside of its native range. Consequently, seed banking is not yet possible, precluding a critical management strategy for conservation. The study ofRafflesia seed biology is a critical step to improve its cultivation, which will educate the public about unique species and the importance of conserving their habitats.Summary Rafflesia is of great interest as one of the only two plants known to have completely lost its chloroplast genome.Rafflesia is a holoparasite and an endophyte that lives inside the tissues of its host, a tropical grape vine (Tetrastigma ), emerging only to bloom—with the largest flower of any plant. Here, we report the firstRafflesia seed transcriptome and compare it with those of other plants to deepen our understanding of its extraordinary life history.We assembled a transcriptome from RNA extracted from seeds of the Philippine endemic
Rafflesia speciosa and compared this with those of other plants, includingArabidopsis , parasitic plantsStriga andCuscuta , and the mycoheterotrophic orchidAnoectochilus .Genetic and metabolic seed pathways in
Rafflesia were generally similar to the other plant species. However, there were some notable exceptions. We found evidence of horizontal transfer of a gene potentially involved in circumventing host defenses. Moreover, we identified a possible convergence among parasitic plants becauseRafflesia ,Striga , andCuscuta shared important similarities. We were unable to find evidence of genes involved in mycorrhizal symbiosis, suggesting that mycoheterotrophy is unlikely to play a role inRafflesia parasitism.To date, ex situ propagation of
Rafflesia by seed has been mostly unsuccessful. Our research is a bold step forward in understanding the fundamentals ofRafflesia seed biology that will inform the continued propagation and seed‐banking efforts concerning this recalcitrant plant. We discuss our findings in the broader context of the conservation of a genus in peril. -
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The COVID‐19 disease pandemic is one of the most pressing global health issues of our time. Nevertheless, responses to the pandemic exhibit a stark ideological divide, with political conservatives (versus liberals/progressives) expressing less concern about the virus and less behavioral compliance with efforts to combat it. Drawing from decades of research on the psychological underpinnings of ideology, in four studies (total
N = 4441) we examine the factors that contribute to the ideological gap in pandemic response—across domains including personality (e.g., empathic concern), attitudes (e.g., trust in science), information (e.g., COVID‐19 knowledge), vulnerability (e.g., preexisting medical conditions), demographics (e.g., education, income) and environment (e.g., local COVID‐19 infection rates). This work provides insight into the most proximal drivers of this ideological divide and also helps fill a long‐standing theoretical and empirical gap regarding how these various ideological differences shape responses to complex real‐world sociopolitical events. Among our key findings are the central role of attitude‐ and belief‐related factors (e.g., trust in science and trust in Trump)—and the relatively weaker influence of several domain‐general personality factors (empathic concern, disgust sensitivity, conspiratorial ideation). We conclude by considering possible explanations for these findings and their broader implications for our understanding of political ideology.Highlights Stark ideological differences exist across a wide range of attitudinal and behavioral indices of pandemic response, with more conservative individuals reliably exhibiting less concern about the virus. These findings illustrate the extent to which the pandemic has become politicized.
A range of factors contribute to this ideological gap in pandemic response, but some are substantially more important than others.
Several factors that have received attention in public and academic discourse about the pandemic appear to contribute little, if at all, to the ideological divide. These include news following, scientific literacy, perceived social norms, and knowledge about the virus.
The most critical factors appear to be trust in scientists and trust in Trump, which further highlights the politicization of COVID‐19 and, importantly, the antagonistic nature of these two beliefs. Efforts to change and, especially, disentangle these two attitudes have the potential to be effective interventions.
