Paper V — Biology: References
100 SOURCES · 33 QUESTIONS · ALL FREELY AVAILABLE
Each source carries a technical description and a plain one; authors’ own pages and encyclopaedia entries are linked where they exist. Every address on this page was verified live at publication. The paper itself: Paper V.
1. Is the genome a program, a blueprint, or neither? Defend your choice mechanistically.
The question in Paper V — Biology
The program and blueprint metaphors audited: what genetic 'information' can and cannot mean mechanistically.
In plain terms: The scholarly hearing on the question's own vocabulary — whether calling DNA a program is insight or loose talk.
From enzymatic adaptation to allosteric transitions (Nobel lecture)
The birthplace of the 'genetic program': regulation as switches and circuits, from the man who coined the framing.
In plain terms: The free lecture in which genes first became circuitry — the origin of the metaphor the question interrogates.
Molecular Biology of the Cell (open edition)
The mechanistic ledger the metaphors must answer to: transcription networks, feedback, context-dependence throughout.
In plain terms: The standard free textbook of the cell — the machinery itself, against which 'program' and 'blueprint' are tested.
Background: Genome · Gene regulatory network
2. What does it mean for a trait to be heritable, and why is heritability so often misunderstood?
The question in Paper V — Biology
Inheritance systems and the extended synthesis
Heredity conceptually dissected: transmission, variance partitioning, and the population-relativity of h².
In plain terms: The careful free account of what 'heritable' actually asserts — a statement about differences in a population, not destiny in a person.
Quantitative genetics in course form: variance components, h² estimation, and its scope conditions.
In plain terms: A complete free MIT genetics course where the number is defined properly — and its misreadings dissolve.
The Mendelian substrate — what is transmitted — beneath the statistical concept the question probes.
In plain terms: The free textbook groundwork on what genes do and do not fix, before the population statistics begin.
Background: Heritability · Nature versus nurture
3. Explain the thermodynamics of the living cell as an open system far from equilibrium.
The question in Paper V — Biology
Statistical physics of self-replication
The cell's non-equilibrium character quantified: dissipation bounds on growth and replication far from equilibrium.
In plain terms: A free physics paper putting numbers to the intuition — living order is paid for in exported disorder.
Broken detailed balance and non-equilibrium dynamics in living systems
The diagnostic review: detecting broken detailed balance — the signature of being driven — in cellular processes.
In plain terms: The free survey of how one proves, from wobbling cell parts, that life runs on throughput rather than rest.
Statistical mechanics: entropy, order parameters, and complexity (open textbook)
The framework itself — entropy production, open systems, steady states — in a free graduate text.
In plain terms: The free textbook supplying the thermodynamic grammar in which the living cell's ledger is written.
Background: Non-equilibrium thermodynamics · Dissipative system
4. Is natural selection a law, a tautology, or a mechanism?
The question in Paper V — Biology
The question's taxonomy addressed head-on: selection as mechanism, as principle, and the tautology objection answered.
In plain terms: The standing scholarly treatment of whether 'survival of the fittest' is circular — and why the charge fails.
The load-bearing concept: propensity interpretations that give 'fitness' independent content, breaking the circle.
In plain terms: The companion free entry on the word doing the work — defined so the theory predicts rather than merely relabels.
On the Origin of Species (first edition)
The mechanism as originally argued: variation, heritability, superfecundity — an engine, not a definition.
In plain terms: The free original, where the idea is plainly a machine with parts — nothing circular about it.
Background: Natural selection · Tautology (logic)
5. What is a gene? Give a definition that survives contemporary molecular biology.
The question in Paper V — Biology
The concept's career and its post-genomic strain: classical, molecular, and process definitions compared.
In plain terms: The free scholarly history of a word that kept its name while changing its meaning — and may have outgrown both.
What molecular biology actually individuates — coding regions, regulation, products — and whether 'gene' tracks it.
In plain terms: The companion free analysis of whether the thing molecular biologists manipulate is one thing at all.
Molecular Biology of the Cell (open edition)
The complications catalogued: splicing, overlapping transcripts, regulatory architecture — the definition's stress tests.
In plain terms: The free textbook containing everything a surviving definition must accommodate.
Background: Gene · Alternative splicing
6. Account for the maintenance of sexual reproduction despite its twofold cost.
The question in Paper V — Biology
The machinery of the cost and the benefit: recombination and segregation generating variation, at the price of halved transmission.
In plain terms: The free textbook mechanics of sex — the shuffle that makes offspring different, and the arithmetic that makes it puzzling.
The explanatory standards any maintenance hypothesis — Red Queen, mutation clearance — must meet.
In plain terms: The free framework for judging the candidate answers to biology's twofold-cost scandal.
The Cell: A Molecular Approach (open edition)
Meiosis and its consequences in a second free reference text, with the genetic-variation dividend explicit.
In plain terms: A free standard textbook's account of what sexual genetics buys — the benefit side of the ledger.
Background: Evolution of sexual reproduction · Red Queen hypothesis
7. Why is the protein-folding problem hard even given the sequence?
The question in Paper V — Biology
Studies on the principles that govern the folding of protein chains (Nobel lecture)
Why sequence suffices in principle: the thermodynamic hypothesis that makes the problem well-posed — and hard.
In plain terms: The founding free lecture establishing that the answer is in the sequence — which is what makes the difficulty so maddening.
The hardness dissected: astronomically large conformation spaces, funnelled landscapes, and marginal stabilities.
In plain terms: The standard free review of why knowing the letters does not hand you the shape — the search is the problem.
Highly accurate protein structure prediction with AlphaFold
The modern resolution-in-practice: learned prediction succeeding where physical search remains intractable — sharpening what 'hard' meant.
In plain terms: The free landmark paper that largely solved the practical problem — while leaving the physics of the difficulty intact.
Background: Protein folding · Levinthal's paradox
8. What does information theory legitimately contribute to molecular biology?
The question in Paper V — Biology
The legitimacy audit the question demands: where Shannon's apparatus genuinely applies and where it is metaphor.
In plain terms: The free scholarly line between honest uses of 'information' in biology and decorative ones.
A mathematical theory of communication
The theory itself, at source — entropy, channels, coding — defining exactly what may be borrowed.
In plain terms: The free founding paper, so the borrowed word can be checked against its owner's meaning.
The use of information theory in evolutionary biology
The constructive case: sequence entropy, information acquisition by selection, and quantitative applications that pay their way.
In plain terms: A free survey of the places where counting bits in genomes yields genuine biological insight.
Background: Information theory · Central dogma of molecular biology
9. Is there a unit of selection? Defend a level.
The question in Paper V — Biology
The debate entire: genes, individuals, groups; replicators and interactors; multilevel formalisms.
In plain terms: The free scholarly map of biology's longest turf war — what exactly selection selects.
The test cases that decide levels: Hamilton's rule, kin and group accounts of self-sacrifice.
In plain terms: The free entry on the phenomena — sterile workers, alarm calls — that force a choice of level.
The currency any level must be paid in — whose fitness, defined how — sharpening the defence demanded.
In plain terms: The free analysis of the bookkeeping question hiding inside the levels question.
Background: Unit of selection · Kin selection
10. Explain the error threshold and its relevance to the origin of replication.
The question in Paper V — Biology
The eightfold path to non-enzymatic RNA replication
The origin-side stakes: copying chemistry accurate enough to preserve information before enzymes exist.
In plain terms: A Nobel laureate's free paper on the first copying problem — how sloppy chemistry could keep a message alive.
Origins of life: a problem for physics
Eigen's threshold in its modern setting: mutation rate bounding maintainable genome length, and the paradox it creates.
In plain terms: The free review stating the trap plainly — accurate copying needs machinery too long to copy accurately.
The conceptual frame: replication fidelity among the defining requirements the threshold constrains.
In plain terms: The free scholarly context for why the threshold matters — it polices the border of the living.
Background: Error threshold (evolution) · RNA world
11. What distinguishes a signalling network from a mere chemical reaction network?
The question in Paper V — Biology
Systems Biology (8.591J, open course)
The distinguishing properties formalised: amplification, adaptation, bistability, feedback — function beyond stoichiometry.
In plain terms: A free MIT course on what makes cellular chemistry into circuitry — behaviour, not just reactions.
The Cell: A Molecular Approach (open edition)
The signalling chapters: receptors, cascades, second messengers — the hardware of meaning-bearing chemistry.
In plain terms: The free textbook inventory of the parts from which cellular 'messages' are built.
Signaling molecules and cellular receptors
The defining asymmetry in teaching form: ligands as inputs, receptors as detectors — reference to function, not mere kinetics.
In plain terms: The free page making the distinction vivid — some molecules carry news, and cells are built to read it.
Background: Cell signaling · Signal transduction
12. Why is convergent evolution evidence about constraint rather than chance?
The question in Paper V — Biology
Constraint versus optimality made precise — the framework in which repeated outcomes become evidence.
In plain terms: The free scholarly treatment of what convergence can testify to: limited good solutions, not coincidence.
Convergence located among evolutionary patterns, with the standard eye and wing exemplars.
In plain terms: The free textbook cases — camera eyes and wings invented repeatedly — the raw data of the argument.
From enzymatic adaptation to allosteric transitions (Nobel lecture)
Molecular teleonomy from its theorist: chemistry channelled by structure — constraint as the shaper of function.
In plain terms: The free lecture giving the mechanistic sense in which biology's options were never unlimited.
Background: Convergent evolution · Spandrel (biology)
13. What is the physical basis of the fidelity of DNA replication?
The question in Paper V — Biology
The physical principle: energy-consuming delay steps squaring discrimination beyond equilibrium binding limits.
In plain terms: The free classic showing the trick — spend energy to check twice, and error rates fall beyond what stickiness alone allows.
The mechanistic layers: base pairing, polymerase selectivity, exonucleolytic proofreading, mismatch repair.
In plain terms: The free textbook tour of the triple-checking that copies three billion letters almost without a slip.
Thermodynamics of error correction
The modern accounting: speed, accuracy, and dissipation traded within explicit non-equilibrium bounds.
In plain terms: The free physics paper pricing fidelity — every avoided error is paid for in time and energy.
Background: DNA replication · Kinetic proofreading
14. Explain how a developmental program can be robust to noise yet evolvable.
The question in Paper V — Biology
Systems Biology (8.591J, open course)
The circuit-level answers: feedback, redundancy, and network motifs buffering noise while leaving variation usable.
In plain terms: The free course on the engineering by which development ignores small shocks yet remains open to change.
Robustness: mechanisms and consequences
The review joining the question's halves: buffering that stores cryptic variation, released as evolvability.
In plain terms: The free survey of the paradox's resolution — hidden variation banked by robustness, spent by evolution.
The classic statement: weak linkage, modularity, and exploratory processes as the design features of changeability.
In plain terms: The free founding essay on why life's architecture is unusually good at being remodelled.
Background: Canalisation (genetics) · Evolvability
15. Is ageing selected for, tolerated, or a physical inevitability?
The question in Paper V — Biology
The mechanistic inventory — damage classes and their interconnections — that any evolutionary account must explain.
In plain terms: The standard free map of what ageing physically is, beneath the question of why it is permitted.
Telomeres and telomerase (Nobel lecture)
A concrete inevitability candidate: the end-replication problem and its enzymatic, selectively tuned remedy.
In plain terms: The free lecture on chromosome ends that shorten by physics — and the enzyme evolution deploys only selectively.
Statistical physics of self-replication
The thermodynamic backdrop for 'inevitability': maintenance and copying as dissipative work against decay.
In plain terms: The free physics framing of the third option — staying ordered is uphill, and the climb is never free.
Background: Evolution of ageing · Senescence
16. What does "junk DNA" mean now, and was the concept a mistake?
The question in Paper V — Biology
An integrated encyclopedia of DNA elements in the human genome
The provocation: biochemical activity assigned to most of the genome, and the contested 'function' claim.
In plain terms: The free landmark paper that reopened the junk question by finding chemistry almost everywhere.
The rebuttal: C-value evidence, mutational load, and selected-effect function against activity-as-function.
In plain terms: The free counter-argument — why most of the genome may still be passengers, chemistry notwithstanding.
The conceptual crux: rival senses of 'function' — causal-role versus selected-effect — on which the dispute turns.
In plain terms: The free analysis showing the fight is partly about a word, and which meaning of 'function' should govern.
Background: Non-coding DNA · ENCODE
17. Account for allometric scaling laws in metabolism.
The question in Paper V — Biology
The law at source: metabolic rate scaling as mass to the three-quarter power, established across species.
In plain terms: The free original in which the famous 3/4 rule — mouse to elephant on one line — first appears.
Sizing up allometric scaling theory
The leading explanation audited: network-supply models, their assumptions, and where the derivation strains.
In plain terms: A free critical examination of the elegant plumbing theory said to explain the rule — and its open seams.
The tradition's fountainhead: physical and geometric constraint — surface-to-volume reasoning — as biological explanation.
In plain terms: The free classic arguing that size itself legislates form and function — the question's oldest serious answer.
Statistical mechanics: entropy, order parameters, and complexity (open textbook)
Scaling and power laws as a physics discipline — the standards a claimed exponent must meet.
In plain terms: The free text on what power laws are and how seriously to take one — method for the debate above.
Background: Kleiber's law · Allometry
18. Explain why the neutral theory of molecular evolution was necessary.
The question in Paper V — Biology
The theoretical setting: drift and selection as forces, and the neutralist–selectionist controversy's terms.
In plain terms: The free scholarly frame for the debate the theory ignited — chance against design in the genome.
Neutral theory: the null hypothesis of molecular evolution
The necessity argument: constant molecular clocks and abundant polymorphism, inexplicable under panselection.
In plain terms: The free explainer of why Kimura's heresy was forced — the data demanded a role for chance.
The use of information theory in evolutionary biology
Neutral variation quantified informationally — what drift does to sequence entropy, and what selection adds.
In plain terms: A free complement measuring, in bits, the difference between wandering and chosen change.
Background: Neutral theory of molecular evolution · Genetic drift
19. Is the species concept salvageable, and does biology need it?
The question in Paper V — Biology
The concept-plurality problem entire: biological, phylogenetic, and ecological definitions, and eliminativist options.
In plain terms: The free scholarly survey of a category science uses constantly and cannot quite define.
The working definitions in use — reproductive isolation and its mechanisms — with their standard exceptions.
In plain terms: The free textbook version practising biologists actually deploy, hybrids and bacteria notwithstanding.
On the Origin of Species (first edition)
The deflationary source: species as well-marked varieties, boundaries expected to blur under descent.
In plain terms: The free original already predicting the trouble — gradual origins guarantee awkward edges.
Background: Species concept · Speciation
20. What is the thermodynamic cost of biological information processing?
The question in Paper V — Biology
Stochastic thermodynamics of computation
The general theory: Landauer costs and beyond, for arbitrary computations by physical systems — cells included.
In plain terms: The free modern treatise on the energy price of processing information, wherever it is processed.
The biological ledger itemised: copying, sensing, and signalling costs in molecular implementations.
In plain terms: The free review connecting the abstract bounds to actual cellular machinery and its energy bills.
Thermodynamics of error correction
The sharpest biological instance: fidelity purchased with dissipation, in exact trade-off relations.
In plain terms: The free case study where the cost of information is paid, measurably, at every copied letter.
Background: Landauer's principle · Entropy and information
21. How does a ribosome achieve both speed and accuracy?
The question in Paper V — Biology
Unraveling the structure of the ribosome (Nobel lecture)
The structural answer: decoding-site geometry sensing correct codon–anticodon pairing, induced fit gating GTP hydrolysis.
In plain terms: The free lecture revealing, in atomic detail, how the cell's translator feels the difference between right and wrong.
Molecule of the Month: Ribosome
The machine visualised: subunits, tunnel, and tRNA path — the architecture the kinetics runs on.
In plain terms: A free illustrated portrait of the factory in question, worth a thousand rate constants.
The kinetic answer: irreversible intermediate steps letting the same discrimination be applied twice.
In plain terms: The free classic explaining the speed-with-accuracy trick — check, commit energy, check again.
Background: Ribosome · Translation (biology)
22. Explain epistasis and why it complicates the genotype–phenotype map.
The question in Paper V — Biology
The definitive review: functional and statistical epistasis distinguished, with consequences for mapping and prediction.
In plain terms: The free authority on gene interactions — why effects refuse to add up, and what that costs prediction.
Epistasis in teaching form: interaction ratios and pathway logic behind them.
In plain terms: The free textbook cases where one gene silences another — the phenomenon at classroom scale.
Interaction analysis as method: pathway ordering by epistasis, and its interpretive limits.
In plain terms: The free MIT course where geneticists turn the complication into a tool — carefully.
Background: Epistasis · Genotype–phenotype map
23. What would count as a second, independent origin of life, and how would we recognise it?
The question in Paper V — Biology
The recognition problem: definitions operational enough to identify life of unknown chemistry.
In plain terms: The free analysis of how we would know alien-style life if we met it — including here at home.
Independence criteria: what would distinguish a second genesis from divergence or contamination.
In plain terms: The free scholarly standard for the extraordinary claim — truly separate origin, not lost cousin.
The algorithmic origins of life
Substrate-independent signatures — informational architecture — as the recognisable mark of life however built.
In plain terms: The free proposal for what to look for when chemistry may differ: the organisation, not the molecules.
Background: Shadow biosphere · Astrobiology
24. Why is cancer better understood as an evolutionary process than as a single disease?
The question in Paper V — Biology
The framework paper: tumours as evolving populations — variation, selection, therapy as selective pressure.
In plain terms: The free landmark reframing cancer as Darwinian process, with resistance its predictable harvest.
How cancer shapes evolution, and how evolution shapes cancer
The two-way synthesis: somatic selection within bodies, and organismal evolution's cancer-suppression legacies.
In plain terms: A free readable survey of the disease as evolution running at two scales at once.
The mechanistic substrate: checkpoint genes whose mutation supplies the heritable variation selection acts on.
In plain terms: The free textbook groundwork — the broken brakes and accelerators on which the evolutionary story runs.
Background: Somatic evolution in cancer · Clonal evolution
25. Explain how phenotypic plasticity relates to, and differs from, evolution.
The question in Paper V — Biology
Does evolutionary theory need a rethink?
The live controversy: plasticity-first proposals against standard theory, argued by both sides in one piece.
In plain terms: The free published debate on whether flexible development leads evolution or merely follows it.
The baseline distinction: within-generation environmental response versus cross-generation genetic change.
In plain terms: The free textbook line the question asks after — tanning is not evolving, and why the difference matters.
Inheritance systems and the extended synthesis
The bridge concepts — assimilation, extended inheritance — by which plastic responses could become heritable.
In plain terms: The free scholarly account of the crossing points where 'relates to' becomes 'turns into'.
Background: Phenotypic plasticity · Genetic assimilation
26. What sets the fundamental limits on the resolution of biological imaging?
The question in Paper V — Biology
Nanoscopy with focused light (Nobel lecture)
The limit and its circumvention: Abbe's bound respected by optics, defeated by switching fluorophore states.
In plain terms: The free lecture on the wall light itself imposes — and the state-switching trick that walks through it.
Single molecules, cells, and super-resolution optics (Nobel lecture)
Localisation microscopy: sparse activation converting a resolution limit into a photon-budget limit.
In plain terms: The companion free lecture — pinpointing lonely blinking molecules one by one until the picture assembles.
Single-molecule spectroscopy, imaging, and photocontrol (Nobel lecture)
The enabling foundation: detecting single molecules at all, with the photophysics that sets practical limits.
In plain terms: The third free lecture, on seeing one molecule — the feat on which the other two are built.
Background: Super-resolution microscopy · Diffraction-limited system
27. Is the brain a computer? Answer with reference to what computation requires.
The question in Paper V — Biology
The computational theory of mind
What computation requires — representation, implementation, medium-independence — and whether brains satisfy it.
In plain terms: The free scholarly examination of the metaphor's fine print before it is affirmed or denied.
The molecular biology of memory storage (Nobel lecture)
The wetware facts: synaptic plasticity as storage mechanism — chemistry, not bit-flipping.
In plain terms: The free lecture on how memory is actually kept — by changing connections, molecule by molecule.
Biophysics: searching for principles (open course text)
The quantitative middle path: coding, noise, and near-optimal inference in neurons — computation as physics performs it.
In plain terms: A free course showing what brains demonstrably do compute — whatever we finally call the machine.
Background: Computational theory of mind · Neural coding
28. Account for the origin of the genetic code's near-universality and its departures.
The question in Paper V — Biology
The genetic code (Nobel lecture)
The code's decipherment at source — the table whose universality then demanded explanation.
In plain terms: The free lecture from the man who cracked the code, before anyone knew how far it reached.
Origin and evolution of the genetic code: the universal enigma
The explanatory contest: frozen accident, stereochemistry, error minimisation — and common descent behind near-universality.
In plain terms: The free review weighing why almost all life spells with one dictionary — luck locked in, or optimisation.
The genetic codes (translation tables)
The departures themselves: every documented variant code — mitochondrial, ciliate, and beyond — in canonical form.
In plain terms: The free primary table of the exceptions, proving the rule rewritable at the margins.
Background: Genetic code · Mitochondrial DNA
29. What is the role of stochasticity in gene expression, and is it a bug or a feature?
The question in Paper V — Biology
Functional roles for noise in genetic circuits
The feature case, from the field's founders: bet-hedging, differentiation, and circuits that exploit fluctuation.
In plain terms: The free review of cells putting randomness to work — gambling strategies written in molecules.
Systems Biology (8.591J, open course)
The quantitative treatment: intrinsic versus extrinsic noise, master equations, and suppression strategies.
In plain terms: The free course where the randomness is measured, decomposed, and engineered.
Biophysics: searching for principles (open course text)
The physical floor: molecule-counting statistics making some noise irreducible — bug by necessity, feature by adoption.
In plain terms: The free text explaining why perfect quiet was never on offer at these copy numbers.
Background: Gene expression noise · Stochastic process
30. Which single measurement would most constrain theories of the origin of life?
The question in Paper V — Biology
The eightfold path to non-enzymatic RNA replication
One candidate measurement made concrete: demonstrated non-enzymatic copying rates and fidelities under plausible conditions.
In plain terms: The free paper defining a decisive number — how well chemistry alone can copy — and pursuing it in the laboratory.
The rival candidate: a second example — one datum — that would convert every theory's sample size from one.
In plain terms: The free argument that the most constraining measurement may simply be finding life a second time.
Origins of life: a problem for physics
The theory landscape surveyed, exposing which quantities — thresholds, rates, probabilities — discriminate between accounts.
In plain terms: The free review from which a chosen measurement's leverage can be judged against every competing story.
Background: Abiogenesis · Biosignature
31. How does the cochlea achieve its frequency selectivity? Give the mechanics of the travelling wave, and say what the active process adds that passive filtering cannot.
The question in Paper V — Biology
The cochlear amplifier and outer hair cells
The active process characterised: prestin-driven electromotility supplying gain, sharpening tuning beyond the passive travelling wave.
In plain terms: The free review of the cells that amplify sound inside the ear — what makes hearing sharper than physics alone would allow.
Georg von Békésy — the travelling wave
The passive mechanics at source: the basilar membrane’s stiffness gradient and the place principle it establishes.
In plain terms: The free official record of the work that showed how the ear separates frequencies along a strip of membrane.
The travelling wave visualised, with the dispersion that produces a place code rather than a uniform response.
In plain terms: The free animations that make the cochlear mechanics intelligible before the mathematics.
32. Vocal learning has evolved independently in songbirds, cetaceans, and humans. State what the capacity requires neurally, and decide whether the convergence is evidence of one solution or of three.
The question in Paper V — Biology
Convergent evolution of vocal learning
The comparative claim tested: shared forebrain pathways and gene-expression signatures across independently vocal-learning lineages.
In plain terms: The free study asking whether birds and humans arrived at the same solution or three different ones.
Ethology and the study of learned behaviour
The behavioural framework: imprinting, sensitive periods, and the criteria that distinguish learned from innate vocalisation.
In plain terms: The free official record of the work that established how learned animal behaviour is to be identified at all.
Frontiers in Neuroscience — vocal learning literature
The current experimental record on song learning, its circuitry, and the continuity hypothesis for speech.
In plain terms: A free open-access venue carrying the ongoing work the question must be answered from.
Background: Vocal learning · Birdsong
33. State the species–area relationship, and decide whether island biogeography theory explains it or merely fits it.
The question in Paper V — Biology
The Theory of Island Biogeography
The model at source: immigration against extinction, equilibrium species number, and the area and distance effects derived from it.
In plain terms: The free classic that turned the count of species on an island into a prediction.
The theory of island biogeography examined
The test record: the Simberloff–Wilson defaunation experiments, and the standing objection that the curve is fitted rather than explained.
In plain terms: The free teaching review of the evidence for and against the theory — exactly the question’s adjudication.
Ocean Biodiversity Information System
The data against which any species–area exponent must now be estimated, with its sampling biases documented.
In plain terms: The free global species database — where the relationship can be checked rather than recited.
Background: Species–area relationship · Insular biogeography