Systematic Biology, Misc

One potentially extremely fruitful use of the tools of corpus analysis in the philosophy of science is to help us understand disputed terrains within the sciences that we study. For philosophers of biology, for instance, few controversies are as heated as those over the concepts we use in taxonomy to classify the living world, with the definition of ‘species’ perhaps most fundamental among them. As many understandings of biodiversity, in turn, involve counting the number of species present in a given (...) area, these taxonomic concepts thus become crucially implicated in our efforts in conservation biology and our response to climate change. In this chapter, we present a corpus of taxonomic journal papers, and illustrate how it might be used to make progress in the history and philosophy of taxonomy. What parts of the biological world do taxonomists most often study? Are these areas of focus related to other methodological commitments, or perhaps to their underlying conceptual disagreement? Are species that are more important to conservation, or economic concerns, or more important to local cultures, more or less likely to be the target of biological study? Corpus-based methods, we argue, are uniquely powerful for approaching questions such as these, and we hope that the case we present can serve as a fruitful example for others considering their implementation. (shrink)

-/- Species lists play an important role in biology and practical domains like conservation, legislation, biosecurity and trade regulation. However, their effective use by non-specialist scientific and societal users is sometimes hindered by disagreements between competing lists. While it is well-known that such disagreements exist, it remains unclear how prevalent they are, what their nature is, and what causes them. In this study, we argue that these questions should be investigated using methods based on taxon concept rather than methods based (...) on Linnaean names, and use such a concept-based method to quantify disagreement about bird classification and investigate its relation to research effort. We found that there was disagreement about 38% of all groups of birds recognized as a species, more than three times as much as indicated by previous measures. Disagreement about the delimitation of bird groups was the most common kind of conflict, outnumbering disagreement about nomenclature and disagreement about rank. While high levels of conflict about rank were associated with lower levels of research effort, this was not the case for conflict about the delimitation of bird groups. This suggests that taxonomic disagreement cannot be resolved simply by increasing research effort. (shrink)

Living systems at any given moment enact a very constrained set of end‐directed and contextually appropriate actions that are self‐initiated from among innumerable possible alternatives. However, these constrained actions are not necessarily because the system has reduced its sensitivities to themselves and their surroundings. Quite the contrary, living systems are continually open to novel and unanticipated stimulations that require a physiology of coordination. To address these competing demands, this paper offers a novel heuristic model informed by neuroscience, systems theory, biology (...) and sign study to explain how organisms situated in diverse, complex and ever‐changing environments might draw upon the sparse order made available by ‘relevant noise’. This emergent order facilitates coordination, habituation and, ultimately, understanding of the world and its relevant affordances. Inspired by the burgeoning field of coordination dynamics and physiologist Denis Noble's concept of ‘biological relativity’, this model proposes a view of coordination on the neuronal level that is neither sequential nor stochastic, but instead implements a causal logic of phasic alignment, such that an organism's learned and inherited sets of diverse biological affinities and sympathies can be resolved into a continuous and complex range of patterns that will implement the kind of novel orientations and radical generativity required of such organisms to adaptively explore their environments and to learn from their experiences. (shrink)

This paper poses a problem for traditional phylogenetics: The identity of organisms that reproduce through fission can be understood in several different ways. This prompts questions about how to differentiate parent organisms from their offspring, making vertical gene transfer unclear. Differentiating between parents and offspring stems from what I call the identity problem. How the problem is resolved has implications for phylogenetic groupings. If the identity of a particular asexual organism persists through fission, the vertical lineage on a phylogenetic tree (...) will split differently than if the identity of an organism does not survive the fission process. (shrink)

Biological lineages move through time, space, and each other. As they do, they diversify, diverge, and grade away from and into one another. One result of this is genealogical discordance; i.e., the lineages of a biological entity may have different histories. We see this on numerous levels, from microbial networks, to holobionts, to population-level lineages. This paper considers how genealogical discordance impacts our study of species. More specifically, I consider this in the context of three framing questions: (1) How, if (...) at all, does genealogical discordance challenge, modify, or revise how we conceive of species? (2) How has growing appreciation of genealogical discordance impacted scientific practice? Of systematics in particular? (3) How do lineages at different levels diverge and diversify? All told, genealogical discordance enriches and complicates our taxonomic ontology, as well as the practice of reconstructing phylogenies. This presents both challenges and opportunities for the study of divergence and diversification. (shrink)

It is time to escape the constraints of the Systematics Wars narrative and pursue new questions that are better positioned to establish the relevance of the field in this time period to broader issues in the history of biology and history of science. To date, the underlying assumptions of the Systematics Wars narrative have led historians to prioritize theory over practice and the conflicts of a few leading theorists over the less-polarized interactions of systematists at large. We show how shifting (...) to a practice-oriented view of methodology, centered on the trajectory of mathematization in systematics, demonstrates problems with the common view that one camp straightforwardly “won” over the other. In particular, we critique David Hull’s historical account in Science as a Process by demonstrating exactly the sort of intermediate level of positive sharing between phenetic and cladistic theories that undermines their mutually exclusive individuality as conceptual systems over time. It is misleading, or at least inadequate, to treat them simply as holistically opposed theories that can only interact by competition to the death. Looking to the future, we suggest that the concept of workflow provides an important new perspective on the history of mathematization and computerization in biology after World War II. (shrink)

Computational systems biologists create and manipulate computational models of biological systems, but they do not always have straightforward epistemic access to the content and behavioural profile of such models because of their length, coding idiosyncrasies, and formal complexity. This creates difficulties both for modellers in their research groups and for their bioscience collaborators who rely on these models. In this paper we introduce a new kind of visualization that was developed to address just this sort of epistemic opacity. The visualization (...) is unusual in that it depicts the dynamics and structure of a computer model instead of that model’s target system, and because it is generated algorithmically. Using considerations from epistemology and aesthetics, we explore how this new kind of visualization increases scientific understanding of the content and function of computer models in systems biology to reduce epistemic opacity. (shrink)

Though biologists identify individuals as ‘male’ or ‘female’ across a broad range of animal species, the particular traits exhibited by males and females can vary tremendously. This diversity has led some to conclude that cross-animal sexes (males, or females, of whatever animal species) have “little or no explanatory power” (Dupré 1986: 447) and, thus, are not natural kinds in any traditional sense. This essay will explore considerations for and against this conclusion, ultimately arguing that the animal sexes, properly understood, are (...) “historical explanatory kinds”: groupings that can be scientifically significant even while their members differ radically in their current properties and particular histories. Whether this makes them full-fledged natural kinds is a question I take up at the very end. (shrink)

Criticism of big data has focused on showing that more is not necessarily better, in the sense that data may lose their value when taken out of context and aggregated together. The next step is to incorporate an awareness of pitfalls for aggregation into the design of data infrastructure and institutions. A common strategy minimizes aggregation errors by increasing the precision of our conventions for identifying and classifying data. As a counterpoint, we argue that there are pragmatic trade-offs between precision (...) and ambiguity that are key to designing effective solutions for generating big data about biodiversity. We focus on the importance of theory-dependence as a source of ambiguity in taxonomic nomenclature and hence a persistent challenge for implementing a single, long-term solution to storing and accessing meaningful sets of biological specimens. We argue that ambiguity does have a positive role to play in scientific progress as a tool for efficiently symbolizing multiple aspects of taxa and mediating between conflicting hypotheses about their nature. Pursuing a deeper understanding of the trade-offs and synthesis of precision and ambiguity as virtues of scientific language and communication systems then offers a productive next step for realizing sound, big biodiversity data services. (shrink)

When working with garden archaeology and garden archaeobotany, the plant material is of great importance. It is important to be able to identify which plants have grown in a particular garden and which have not, which of the plants you find in the garden today that are newly introduced or have established themselves on their own, and which plants that may be remnants of earlier cultivation. During the past two years, my colleagues and I have been involved in a project (...) that deals with the latter kind of plants, that is, plants that were once actively cultivated and that have survived in their original place of cultivation until the present time(Persson, Ansebo & Solberg, this volume). When we started the project we simply called the plants we worked with ‘relict plants’. This is also the term that has been used unofficially in this field of research for some time. It was in no way an official term, however, and as it turned out, the term already had a different meaning in botany that was both older and better established. We were therefore in need of a better name for the plants we worked with. To single out the plants we were working with, we used the following working definition: “Plants that were once, but are no longer cultivated in a certain area, and where a part of the population still exists even though it is no longer actively maintained”. Although we still think this is a decent approximation, we have realized that there are several complicating factors we have had to think more about. We thus needed both a better name and a better definition. Both these tasks became important parts of the project. (shrink)

We argue that the mathematization of science should be understood as a normative activity of advocating for a particular methodology with its own criteria for evaluating good research. As a case study, we examine the mathematization of taxonomic classification in systematic biology. We show how mathematization is a normative activity by contrasting its distinctive features in numerical taxonomy in the 1960s with an earlier reform advocated by Ernst Mayr starting in the 1940s. Both Mayr and the numerical taxonomists sought to (...) formalize the work of classification, but Mayr introduced a qualitative formalism based on human judgment for determining the taxonomic rank of populations, while the numerical taxonomists introduced a quantitative formalism based on automated procedures for computing classifications. The key contrast between Mayr and the numerical taxonomists is how they conceptualized the temporal structure of the workflow of classification, specifically where they allowed meta-level discourse about difficulties in producing the classification. (shrink)

All the central assumptions of the Modern Synthesis (Neo-Darwinism) have been disproven. [1, 2] An article with the title, "Rocking the foundations of molecular genetics,” appearing in the prestigious Proceedings of the National Academy of Sciences at the end of 2012 [3] would have not been possible a decade ago. Groundbreaking experimental evidence of epigenetic maternal inheritance over several generations was published in the same journal, throwing the whole foundation of 21st century molecular genetics into question. Neo-Darwinism attributed genetic change (...) to random events, in which physiology was assumed to play little role. "The germ line was thought to be isolated from any influence by the rest of the organism and its response to the environment. [3] The fundamental concepts that constitute the foundations of contemporary systems biology include holism, emergentism, and robustness, compared to the concepts of reductionism, mechanism, and homeostasis, that form the foundations of molecular biology. [18] Holism is to be contrasted with reductionism which considers a system as merely composed of a sum of parts. Emergentism, the appearance of hierarchical levels of organization, is contrasted with mechanism of independent linear events. Robustness refers to the preservation of the functionality of a system to a certain degree despite external or internal changes, while homeostasis refers to maintaining the stability of the state of a system. The Vedantic view also proposes viewing life from the Organic Whole perspective, in which consciousness forms the supporting basis. The conscious agent is an important part of that view, but the absolute conception of a unifying center is not to be omitted if a proper conception is to be achieved. (shrink)

Book review of Richard A. Richards' The Species Problem: A Philosophical Analysis.

I begin with a description of the benefits and limits of DNA barcoding as presented by its advocates not its critics. Next, I argue that due to the mutually dependent relationship between defining and delimiting species, all systems of classification are grounded in theory, even if only implicitly. I then proceed to evaluate DNA barcoding in that context. In particular, I focus on the barcoders’ use of a sharp boundary by which to delimit species, arguing that this boundary brings along (...) additional theoretical commitments inconsistent with the way taxonomists conceive of species, viz., as entities that have vague boundaries and that cannot be defined by any single attribute other than ancestry. Given these inconsistencies, I conclude that even if groupings based on DNA barcodes match those of an existing taxonomy, the two systems of classification are not necessarily tracking the same entities, i.e., species. (shrink)

There is a nested hierarchy of wholes that characterizes reality, and especially life. The most fundamental principle is that Reality in the Vedantic/Bhagavat conception is based on Personality, as mentioned in the very first aphorism of the Bhagavat Purana, “janmady asya yatho nvayat itaratas charteshu abhijnah svarat.” Here and in many other scriptures the foundation or origin of everything is centered upon the abhijna or cognizant (conscious) primordial Personality of Godhead. Modern science in the West has become centered on matter (...) as the foundation of everything, and this is called materialism. But matter is impersonal. The question is: how can a person come from what is impersonal? We consider such an approach to be backward. Person cannot come from an impersonal material substratum. It is very difficult to conceive how a rock can give rise to a concept of rock. But it is quite natural to understand that a rock exists as a concept for a conscious person. So too can the concept of objectivity, concreteness and perception arise from a personal substratum, and historically, this has been demonstrated by the detailed philosophical study of these ideas by numerous philosophers. (shrink)

Any attempt to develop biosemiotics either towards a new biological ground theory or towards a metaphysics of living nature necessitates some kind of naturalization of its semiotic concepts. Instead of standard physicalistic naturalism, a certain kind of semiotic naturalism is pursued here. The naturalized concepts are defined as referring only to the objects of our external experience. When the semiotic concepts are applied to natural phenomena in biosemiotics, there is a risk of falling into anthropomorphic errors if the semiotic concepts (...) remain mentalistic. It is suggested that there really is an anthropomorphic error or “hidden prototype fallacy” arising from Peirce’s prototype for semiosis: the research process of an experimental scientist. The fallacy lies in the concept of the object of representation — it is questionable whether there are any objects of representation for bacteria and whether the DNA-signs have any objects. The conclusion is that Peircean semiotic concepts are naturalizable but only if they are based on some more primitive concept of representation. The causal origins of representations are not relevant, only their anticipative consequences (i.e. meaning). (shrink)