The nature of science: The fundamental role of natural history in ecology, evolution, conservation, and education

There is a contemporary trend in many major research institutions to de-emphasize the importance of natural history education in favor of theoretical, laboratory, or simulation-based research programs. This may take the form of removing biodiversity and field courses from the curriculum and the sometimes subtle maligning of natural history research as a "lesser" branch of science. Additional threats include massive funding cuts to natural history museums and the maintenance of their collections, the extirpation of taxonomists across disciplines, and a critical under-appreciation of the role that natural history data (and other forms of observational data, including Indigenous knowledge) play in the scientific process. In this paper, we demonstrate that natural history knowledge is integral to any competitive science program through a comprehensive review of the ways in which they continue to shape modern theory and the public perception of science. We do so by reviewing how natural history research has guided the disciplines of ecology, evolution, and conservation and how natural history data are crucial for effective education programs and public policy. We underscore these insights with contemporary case studies, including: how understanding the dynamics of evolutionary radiation relies on natural history data; methods for extracting novel data from museum specimens; insights provided by multi-decade natural history programs; and how natural history is the most logical venue for creating an informed and scientifically literate society. We conclude with recommendations aimed at students, university faculty, and administrators for integrating and supporting natural history in their mandates. Fundamentally, we are all interested in understanding the natural world, but we can often fall into the habit of abstracting our research away from its natural contexts and complexities. Doing so risks losing sight of entire vistas of new questions and insights in favor of an over-emphasis on simulated or overly controlled studies.

Developing the ecological scientist mindset among underrepresented students in ecology fields

How do students discover ecology? Answering this question is essential for diversifying the environmental workforce because scientific disciplines, such as ecology, are often not discovered until students enter academia and are exposed to different disciplinary options. Ecology, and many of the environmental sciences, have persistent and alarmingly low numbers of underrepresented minorities (URM; African American, Hispanic American, Native American, and Pacific Islanders), while other science and technology fields have shown progress in diversification. Why does such underrepresentation persist in environmental disciplines? Social factors such as sense of belonging, science identity, implicit biases, and stereotypes all have been explored and are known to influence the participation of URM students in science. The unique role of the field experience in environmental sciences as a "rite of passage" and "authentic" research experience is one important influence on how URM students experience ecology. Interventions using social elements such as belonging and sense of place are demonstrated ways to broaden participation particularly in environmental science fields, yet dramatic underrepresentation still persists. Here we review known factors affecting and enhancing the recruitment and retention of URMs in the sciences and focus on comprehensive strategies shown to be effective recruiting URM students into the environmental workforce.

The Rapid Rise of Next-Generation Natural History

Many ecologists have lamented the demise of natural history and have attributed this decline to a misguided view that natural history is outdated and unscientific. Although there is a perception that the focus in ecology and conservation have shifted away from descriptive natural history research and training toward hypothetico-deductive research, we argue that natural history has entered a new phase that we call “next-generation natural history.” This renaissance of natural history is characterized by technological and statistical advances that aid in collecting detailed observations systematically over broad spatial and temporal extents. The technological advances that have increased exponentially in the last decade include electronic sensors such as camera-traps and acoustic recorders, aircraft- and satellite-based remote sensing, animal-borne biologgers, genetics and genomics methods, and community science programs. Advances in statistics and computation have aided in analyzing a growing quantity of observations to reveal patterns in nature. These robust next-generation natural history datasets have transformed the anecdotal perception of natural history observations into systematically collected observations that collectively constitute the foundation for hypothetico-deductive research and can be leveraged and applied to conservation and management. These advances are encouraging scientists to conduct and embrace detailed descriptions of nature that remain a critically important component of the scientific endeavor. Finally, these next-generation natural history observations are engaging scientists and non-scientists alike with new documentations of the wonders of nature. Thus, we celebrate next-generation natural history for encouraging people to experience nature directly.

John K, van der Hoeven Kraft KJ, Docktor JL. The Curious Construct of Active Learning

The construct of active learning permeates undergraduate education in science, technology, engineering, and mathematics (STEM), but despite its prevalence, the construct means different things to different people, groups, and STEM domains. To better understand active learning, we constructed this review through an innovative interdisciplinary collaboration involving research teams from psychology and discipline-based education research (DBER). Our collaboration examined active learning from two different perspectives (i.e., psychology and DBER) and surveyed the current landscape of undergraduate STEM instructional practices related to the modes of active learning and traditional lecture. On that basis, we concluded that active learning—which is commonly used to communicate an alternative to lecture and does serve a purpose in higher education classroom practice—is an umbrella term that is not particularly useful in advancing research on learning. To clarify, we synthesized a working definition of active learning that operates within an elaborative framework, which we call the construction-of-understanding ecosystem. A cornerstone of this framework is that undergraduate learners should be active agents during instruction and that the social construction of meaning plays an important role for many learners, above and beyond their individual cognitive construction of knowledge. Our proposed framework offers a coherent and actionable concept of active learning with the aim of advancing future research and practice in undergraduate STEM education.

Intensive Laboratory experiences to safely retain experiential learning in the transition to online learning

Field-based course work has been foundational to Ecology and Evolutionary Biology curricula. However, opportunities for these experiences gradually have decreased over the past few decades and are being replaced with technology in the college learning environment. The coronavirus disease 2019 pandemic facilitated a rapid transition of all field-based courses to online only delivery, which we argue has forced us to reconsider how to deliver course content to retain field experiences in a manner that is safe during the pandemic but robust to ever changing constraints in the college classroom. Here, we propose pairing an intensive laboratory experience with an otherwise online delivery. We discuss several advantages of intensive laboratory experiences that occur in the field over a short but intensive time period over that of the traditional low-intensity weekly laboratory structure. In particular, intensive laboratory experiences are safer during the pandemic because they allow the group to be tested and isolated, allow more flexibility for students with competing interests for their time, and also enhance student interpersonal skills while still providing strong reinforcement of the skills typically honed through experiential learning. We present case studies for how we intend to apply our proposed model to two courses that heavily rely on field-based experiential learning to facilitate adoption.

Disadvantages in preparing and publishing scientific papers caused by the dominance of the English language in science: The case of Colombian researchers in biological sciences

The success of a scientist depends on their production of scientific papers and the impact factor of the journal in which they publish. Because most major scientific journals are published in English, success is related to publishing in this language. Currently, 98% of publications in science are written in English, including researchers from English as a Foreign Language (EFL) countries. Colombia is among the countries with the lowest English proficiency in the world. Thus, understanding the disadvantages that Colombians face in publishing is crucial to reducing global inequality in science. This paper quantifies the disadvantages that result from the language hegemony in scientific publishing by examining the additional costs that communicating in English creates in the production of articles. It was identified that more than 90% of the scientific articles published by Colombian researchers are in English, and that publishing in a second language creates additional financial costs to Colombian doctoral students and results in problems with reading comprehension, writing ease and time, and anxiety. Rejection or revision of their articles because of the English grammar was reported by 43.5% of the doctoral students, and 33% elected not to attend international conferences and meetings due to the mandatory use of English in oral presentations. Finally, among the translation/editing services reviewed, the cost per article is between one-quarter and one-half of a doctoral monthly salary in Colombia. Of particular note, we identified a positive correlation between English proficiency and higher socioeconomic origin of the researcher. Overall, this study exhibits the negative consequences of hegemony of English that preserves the global gap in science. Although having a common language is important for science communication, generating multilinguistic alternatives would promote diversity while conserving a communication channel. Such an effort should come from different actors and should not fall solely on EFL researchers.

Boosting natural history research via metagenomic clean-up of crowdsourced feces

Biodiversity is in crisis due to habitat destruction and climate change. The conservation of many noncharismatic species is hampered by the lack of data. Yet, natural history research—a major source of information on noncharismatic species—is in decline. We here suggest a remedy for many mammal species, i.e., metagenomic clean-up of fecal samples that are “crowdsourced” during routine field surveys. Based on literature data, we estimate that this approach could yield natural history information for circa 1,000 species within a decade. Metagenomic analysis would simultaneously yield natural history data on diet and gut parasites while enhancing our understanding of host genetics, gut microbiome, and the functional interactions between traditional and new natural history data. We document the power of this approach by carrying out a “metagenomic clean-up” on fecal samples collected during a single night of small mammal trapping in one of Alfred Wallace’s favorite collecting sites.

Natural history research is in crisis and non-charismatic species are increasingly ignored; this Community Page article argues and demonstrates that shotgun sequencing of serendipitously obtained faecal samples could reverse this trend for 1000 mammal species within 10 years.

A method to implement continuous characters in digital identification keys that estimates the probability of an annotation

PREMISE

Species identification is vital to many disciplines. Digital technology has improved identification tools, but the direct use of characters with continuous states has yet to be fully realized. To achieve full use of continuous characters for identification, I propose a classifier that calculates a posterior probability (degree of belief) in possible name assignments and an estimate of the relative evidence for the candidate annotations.

METHODS

A model for a species is defined using continuous morphological characters, and an algorithm for identification with a naive Bayesian classifier, using the model, is presented. A method of estimating the strength of evidence for candidate species is also described.

RESULTS

The proposed method is applied in two example identifications: native vs. invasive Myriophyllum in North America and vegetative Rhipidocladum bamboos in Mexico. In each instance, the new method provides a probability and estimate of the strength of the probability to enhance the name assignment in situations where taxa are difficult to differentiate using discrete character states.

DISCUSSION

Naive Bayesian classifiers take advantage of the predictive information inherent in continuous morphological characters. Application of this methodology to plant taxonomy advances our ability to leverage digital technology for improved interactive taxonomic identifications.