NS

Integrative Study of Bird Song – Key Vocabulary

Comparative Approach: Gull Nesting Behavior

  • Observation of extant species

    • Most gull species: ground‐nesting, colonial.

    • Kittiwake: cliff‐nesting, solitary.

  • Question posed: What was the most probable nesting behavior of the common ancestor of all gulls?

    • Use of comparative method (phylogenetic reconstruction).

    • Majority rule and phylogenetic position suggest an ancestral ground‐nesting, colonial strategy.

    • Kittiwake viewed as a derived divergence in response to different ecological pressures (cliff habitat, reduced predation).

Convergent vs. Divergent Evolution

  • Convergent evolution

    • Distinct ancestry → similar traits.

    • Example: Bank swallows (colonial) & certain gulls exhibit mobbing behavior despite phylogenetic distance.

    • Driven by similar selective pressures (predators, breeding density).

  • Divergent evolution

    • Shared ancestry → different traits.

    • Example: Swallow lineage splits into colonial bank swallows vs. solitary rough-winged swallows.

    • Different selective pressures (competition, habitat).

  • Selective pressures leading to convergence/divergence

    • Environmental: climate, habitat acoustics.

    • Predation risk.

    • Competition for resources / mates.

    • Mating systems.

Integrative Study of Behavior (Lecture 2 Theme)

  • Learning objectives

    • Relate proximate (how) questions to ultimate (why) questions.

    • Understand methodologies that integrate disciplines (endocrinology, genetics, economics).

  • Definition of ‘integrative’

    1. Cross-disciplinary tools: hormone assays, molecular parentage, game theory.

    2. Incorporating both Tinbergen’s four levels: mechanism, development, evolutionary history, adaptive function.

Tinbergen’s Four Questions / Levels of Analysis

  • Proximate

    • Development (Ontogeny): timing, acquisition.

    • Mechanism (Causation): genetic, neural, hormonal basis.

  • Ultimate

    • Evolutionary history (Phylogeny): descent with modification.

    • Adaptive function: fitness value.

  • In-class poll: identify examples of proximate vs. ultimate questions.

Bird Song Learning: Taxonomic Scope

  • All birds vocalize, but only three clades learn:

    1. Oscine songbirds.

    2. Parrots.

    3. Hummingbirds.

  • Implies ≥ 3 independent gains of vocal learning (supported phylogeny shows at least five gains; some uncertainty).

Acoustic Tools to Characterize Song

  • Spectrogram / Sonogram

    • X-axis: time, Y-axis: frequency (\text{kHz}) , color/intensity = amplitude.

  • Waveform: amplitude vs. time.

  • Terminology: syllables, phrases, notes.

  • In-class demo: Play bird sound, identify syllables.

Case Study: White-Crowned Sparrow Dialects

Hypotheses for Dialect Formation (non-mutually exclusive)
  1. Genetic differences among populations.

  2. Acoustic stimulus during development (environmental input).

  3. Social interaction with tutors.

Experimental Tests: Acoustic Stimulus Hypothesis
  • Isolation rearing

    • Males hatched in lab, raised in soundproof boxes.

    • Began singing ≈ 150\,\text{days} post-hatch.

    • Output: unstructured twitter, nothing like wild song → auditory input necessary.

  • Playback of conspecific dialects

    • Fledglings hear a single dialect tape (Marin, Berkeley or Sunset Beach).

    • Adult song matches heard dialect regardless of genetic origin → dialect learnt from environment.

  • Playback of heterospecific song (e.g. song sparrow)

    • Results resemble isolation songs; birds ignore alien template.

  • Mixed playback (heterospecific + conspecific)

    • Birds select and reproduce ONLY white-crowned sparrow song.

    • Indicates an innate predisposition (template filter).

Experimental Tests: Social Interaction Hypothesis
  • Fledglings could hear white-crowned sparrow tape but had live visual/auditory contact with strawberry finch adult males.

  • Adult song resembled strawberry finch.

  • Conclusion: Social context modulates tutor choice; both sound and social cues critical.

Conclusions
  • Dialect development requires:

    • Exposure to acoustic template within sensitive period (\approx 10–50\,\text{days}) .

    • Social reinforcement for tutor selection.

    • Genetic predisposition for conspecific template.

Origins of New Dialects (Hypotheses & Tests)
  • Cultural drift: cumulative copy errors.

  • Immigrant adults introducing variants.

  • Shifts in ambient noise (urban noise, waterfalls).

  • Female preference changes.

  • Proposed tests: captive translocation, noise-addition, female choice chambers.

Neural Mechanisms (“Song Circuit”)

  • Principal nuclei (Fig. 2.6):

    • HVC (High Vocal Center): template storage, integrates feedback.

    • RA (Robust nucleus of the Archopallium): motor output to syrinx.

    • LMAN (Lateral magnocellular nucleus of the Anterior Nidopallium) & Area X: song learning/plasticity.

  • Pathways

    • Anterior forebrain loop (HVC → Area X → DLM → LMAN → RA) critical for learning.

    • Motor pathway (HVC → RA → syrinx) critical for production.

  • Lesion studies

    • HVC or RA lesions abolish singing ability; LMAN lesions disrupt learning but not adult crystallized song.

  • Neuroanatomical dimorphism

    • \text{RA}{\text{male}} \gg \text{RA}{\text{female}} (size & neuron count).

  • Neuroplasticity

    • Seasonal and developmental; learning enlarges nuclei (experience-dependent neurogenesis).

Evolution of Song Learning

  • Phylogeny (Fig. 2.10) suggests multiple independent gains (✓ marks) and possible losses (✗).

  • Genomic convergence with humans

    • Pfenning et al.
      2014: Shared gene-expression modules in human Broca’s/Wernicke’s areas and songbird RA/X.

    • Implies convergent molecular solutions to vocal learning.

Adaptive Value of Song Learning

Benefit-Cost Framework

Hypothesis

Predicted Benefit

Empirical Support

Environmental adaptation

Signals acoustically match habitat → travel further

Forest great-tit songs lower frequency, less degradation.

Recognition

Individual/dialect differences aid neighbor–stranger, kin recognition

Song sparrows share neighbor song types; graded aggression depending on match.

Information-sharing

Larger repertoires aid cooperative groups

Chestnut-crowned babbler: 13 functionally distinct calls.

Sexual selection

Complex songs favored by females, aid male–male competition

Song sparrow studies: repertoire size ↔ reproductive success.

Cost: Nutritional stress

Enlarged song nuclei are energetically costly; quality reveals developmental condition

30 % food restriction in nestlings → poorer song; females prefer high-quality singers.

Sexual Selection Details (Song Sparrow Model)
  • Male–male competition

    • Graded signals:

    1. Type match → high aggression.

    2. Shared repertoire (non-matching) → moderate aggression.

    3. Unshared song → low aggression.

    • Number of shared song types positively correlated with male fitness proxy (Beecher 2000).

  • Mate attraction

    • Unmated males sing more.

    • Females show phonotaxis & copulation displays toward complex, accurately copied song.

    • Developmental stress paradigm (Fig. 2.18–2.19): females discriminated against nutritionally stressed males (poorer trill bandwidth, syntax).

Costs of Vocal Learning

  • Metabolic expense of larger forebrain and song nuclei.

  • Extended juvenile period to memorize & practice.

  • Exposure to predators while singing/practicing.

Spiral Model of Animal Behavior Research

  • Research cycles between proximate and ultimate questions, progressively tightening toward holistic understanding.

  • Analogy: tornado spiral—continuous integration of levels & disciplines.


Key Numbers & Facts
  • Sensitive period to memorize song: \approx 10–50\,\text{days} (species-specific).

  • Crystallization (adult stable song): around 150\,\text{days} in white-crowned sparrow.

  • Nutritional stress manipulation: 30 % food reduction during days 0–14 post-hatch.

  • Cooperative babbler call repertoire: 13 discrete call types.

Equations / Conceptual Models
  • Fitness payoff of song complexity (conceptual):
    W_{male} = f(R, A, C)
    where R = repertoire size, A = accuracy/quality, C = context (competition, habitat).

  • Trade-off between brain cost and signaling benefit:
    \Delta W = B{signal} - C{brain}
    Vocal learning evolves when \Delta W > 0 under given ecological/social conditions.


Ethical, Philosophical, Practical Notes
  • Research often involves isolation of juveniles; animal welfare protocols mandate minimal stress & enriched environments.

  • Vocal learning studies inform human language evolution, speech disorders, and neuroplasticity—bridging biology & medicine.

  • Noise pollution’s impact on song learning links behavioral ecology with conservation policy.

Connections to Other Lectures / Principles

  • Revisits comparative method first introduced with gull nesting.

  • Demonstrates Tinbergen framework throughout (proximate brain mechanisms ↔ ultimate adaptive function).

  • Integrates evolutionary concepts (convergence/divergence) with mechanistic neuroscience—hallmark of integrative biology.