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Record W2889371848

Review of Monarchs and Milkweed: A Migrating Butterfly, a Poisonous Plant, and Their Remarkable Story of Coevolution by Agrawal Anurag

2017· article· en· W2889371848 on OpenAlexaboutno aff
Michael C. Rotter

Bibliographic record

VenueThe Journal of the Abraham Lincoln Association · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCoevolutionButterflyMonarch butterflyBiologyEvolutionary biologyEcology
DOInot available

Abstract

fetched live from OpenAlex

During my final year of graduate study at Northern Michigan University, several of my naturalist friends and I decided to take a long weekend, despite our need to continue writing our master's theses.we loaded up all of our plant presses, field guides, nets, collecting jars, binoculars, and spotting scopes and headed down to Peninsula Point in Delta County, Michigan.It was a beautiful fall day and we arrived early in the morning in order to get a glimpse of any birds making their way from Canada to their overwintering spots in the neotropics.However, the real stars of the show turned out to be the thousands of monarch butterflies that had gathered for their own continental migration.This natural spectacle sparked in me my love of Lepidoptera and eventually set me on a course of studying plant-herbivore interactions when I started a PhD about a year later.Dr. Anurag Agrawal's new book has in no doubt been influenced by the hundreds of naturalists like myself who are entranced by the wonders of monarch biology.Dr. Agrawal, with years of studies under his belt, is one of the top plantherbivore biologists in the world.Carefully tracing the life history of the monarch along its spring migration from Mexico to southern Canada and back again in the autumn, Dr. Agrawal weaves in classic studies, including past monarch research by the Urquharts and Lincoln Brower as well as insights from his own years of studying monarch caterpillars and milkweeds.Dr. Agrawal's personal insight is what makes this book unique.Sandwiched between accounts of spring and fall monarch migration (which make up the first and last chapters of the book), are chapters in which Dr. Agrawal draws deeply from his expertise on plant-insect interactions.The discussion of the biology of milkweeds, and particularly their defense traits, is not only interesting in itself, but also provides a great general discussion on how chemistry and biology conspire to create the wonderful co-evolutionary study of monarchs and milkweeds.Dr. Agrawal makes it clear that this story isn't just about monarchs, but also about the diverse genus that contains milkweed.Here he discusses several species of the milkweed genus (Asclepias) and the various ways milkweeds have evolved to defend themselves from herbivore attack through chemical defenses and physical defenses.Dr. Agrawal shows that these defense traits vary among the roughly 140 species of milkweeds; for example, some relying heavily on chemicals to defend themselves, whereas others don't bother to produce as many chemicals and instead stick to trichomes for defense.The discussion of milkweed diversity, however, is primarily framed as being a problem for monarchs to solve.The rich research history on the common milkweed (Asclepias syriaca) is

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.228
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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