Animal Behavior and Ecology: A Comprehensive Overview
Posted on May 13, 2024 in Philosophy and ethics
Lecture 1: Maori Culture and Resource Management
- Maori Culture: Deep connection to the natural world, kaitiakitanga (guardianship)
- Historical Timeline:
- Settlement from Polynesia (1200-1300 AD)
- Captain James Cook’s arrival (1769), followed by missionaries from England (late 1700s-early 1800s)
- Significant Events:
- Declaration of Independence (1835), signed by Ngāpuhi chiefs
- Treaty of Waitangi (1840), discrepancies in translation regarding sovereignty
- British colonization: conflicts, land confiscations, decline in Maori population
- Cultural Resilience:
- Suppression of Maori customs by past governments
- Persistence of cultural practices, resurgence in Maori population (1940s-1950s)
- Maori Worldview:
- Connection to land, water, air, forests
- Importance of integrating traditional and modern knowledge for resource management
- Decision-Making Processes:
- Collective consensus-building
- Respect for tribal structures (iwi or hapū)
- Research Engagement:
- Respectful approach to Maori communities
- Acknowledgment of cultural protocols
- Securing appropriate funding for collaboration
Lecture 2: Wildlife Management and Animal Welfare
- To catch, hold, release, or kill most wildlife species, you must have permission from DOC.
- Sections 53 (wildlife except marine), 54 (wildlife causes damage to humans or their property), 63 (marine wildlife)
- Section 63 makes it a specific offense to hunt or kill certain marine wildlife (cannot hunt, kill, buy or process, rob, disturb, destroy, or have in his/her possession marine wildlife).
- Section 53, however, allows for catching alive or killing for a purpose approved by the Director General (can catch, kill, take eggs).
- Shark cage diving -> (cannot under section 63, but could if it were a normal wildlife animal)
- Implications:
- Offense to hunt or kill absolutely protected marine species unless lawful authorization.
- DOC can authorize a person to catch alive or kill under section 53.
- What’s affected if both are implemented?
- Falconry (cannot capture birds for sport)
- Applications to accidentally killing wildlife (won’t be considered as no intention, yet an application to kill wildlife can be considered)
- Authorizations for pure disturbance (playing bird sounds to attract gannets)
- Permits are used to recognize that animals are sentient, to provide a process for approving animals in research, testing, and teaching, establish a national animal welfare advisory committee and national animal ethics, provide codes of welfare and the approval of codes.
- An animal is a vertebrate (M, A, R, B, F), decapod, cephalopod, M fetus, A or R pre-hatched young that is in the last half of its period of gestation or development, marsupial pouch young.
- Does not include human beings, pre-natal, pre-hatched, larval, or other development stages.
- Manipulation (subject to interfering normal physiological, behavioral, or anatomical integrity), exposing to parasites, microorganisms, drugs, chemicals, etc., depriving the animal of usual care.
- Physical health and behavioral needs (food, water, shelter, opportunity to display normal eating patterns, physical handling in a bad manner, protection from any significant injury or disease).
Lecture 3: Critical Thinking in Science
- Critical Thinking:
- Clarify, question, identify, analyze, evaluate, create
- Question the data:
- Who collected it?
- Why is the data being collected?
- Where is it collected from?
- How is it being analyzed?
- How has it been analyzed?
- How has it been interpreted?
- How has it been communicated?
- Our first hypothesis may not be the correct hypothesis.
- E.g., “only humans use tools”
- Primates, dolphins, birds, other mammals, crocodiles, fish, octopus, insects all use tools.
- Questions are good, it’s okay to reject hypotheses, critical thinking requires practice.
Lecture 4: Tools and Techniques in Behavioral Ecology
- Tools for Behavioral Ecology: R Studio, SPSS, Primer-e, Online tools (VasserStats)
- What is the graph trying to tell me? Legends, titles, descriptions
- The P-value does not prove anything; it simply tells us if the value is statistically significant or not.
- The P-value should instead be phrased as little, weak, moderate, strong, or very strong evidence.
- P-values are very sensitive to sample sizes.
- Effect sizes tell us the magnitude of the difference between two groups.
- This can be seen through Cohen’s formula:
- Mean of the (experimental group – mean of the control group) / standard deviation
- Clear Axes Labels
- No color unless necessary
- No gridlines unless necessary
- Includes a figure legend
- Includes a key
- Includes scales
Lecture 5: Avoiding Bias in Research
- Correlation does not equal causation.
- There are different levels of analysis (ecosystem vs. species).
- Balance cautious interpretation with over-interpretation.
- Confirmation bias is the tendency to interpret new evidence as confirmation for existing beliefs.
- You can combat this via double-blind experiments or by randomization.
- You can also get sampling bias (traps tend to capture the boldest individuals in a population).
- Interpret results (80% of a population is consistent, but what about the other 20%? Are they consistent too?).
- Survivorship bias is the tendency to focus on the survivors, or the winners rather than losers, or success rather than failure.
- Treasure your exceptions.
Lecture 6: Applied Animal Behavior: Management and Biosecurity
- In domestic and companion animals, behavior is central to management.
- Attributes (herding (sociality), animal welfare (basic needs), use predators (guarding, control))
- In fisheries, select species for human use and management (salmon), target species for exploitation (schooling fish, time of year to hunt).
- You can use animal behavior to manage them in biosecurity.
- Interactions between species and devices
- Risk allocation, fear, trophic cascades, drive responses and demographics, outcomes of management actions (stoats fear and avoid cats and ferrets).
- Predator-prey interactions
- Sensory Ecology: Sound, Smell
- Bats echolocate -> arms race between bats and moths who drop 90 degrees.
- Detecting sounds can be used to find invasive species, attract pests to traps, to deter pests from at-risk species.
- Smell is carried long distances by the flow of air.
- The smelling of an odor is a lock and key interaction.
- Dogs have many more receptors than humans do; the nasal cavity contains hundreds of millions of sensory neurons (used to find rats, pests, and rare endemic species).
- Understanding scent use can allow for better management and biosecurity of animals, allowing you to trap them.
- Sex pheromones can be used (monitoring, mass trapping (attraction-annihilation), and mating disruption (pheromone dispensers create “noise”)).
- Food baits or oviposition can be used.
- Integrated Pest Management
- A broad-based approach that uses practices for economic control of pests.
- Aims to suppress pest populations.
- Requires knowledge of several key factors.
- Allows for safer pest control.
- Acceptable pest levels
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)
- Control measures: insecticides, biological control, cultural control, plant resistance, pheromones, and growth regulation.
- 3 Types of Biological Control
- Classical biological control (importation)
- Augmentation: supplementation of existing natural enemies (periodic release, inoculation, inundation (can reduce pesticide use))
- Conservation: protect or enhance activities of natural enemies, reducing pest effects (preservation, environmental manipulation to improve conditions for predators and parasitoids)
- Biological Control
- Arthropod natural enemies (predators, parasites, complexities of food webs and complications)
- Microbial control (nematodes, fungi, bacteria, viruses, protists)
- Understanding the behavior of both the pest/predator and the species at risk is the key to successful pest/predator control.
- Agricultural pest control (arthropods and disease)
- Conservation and biodiversity (eradicating invasive predators)
- Occasionally the goals overlap (TB in possums and cows).
Lecture 7: Integrating Behavior, Ecology, and Physiology
- To know behavior is to know ecology and physiology: integration and the flexible phenotype.
- Monogamy, polyandry, polygyny, promiscuity, polygynandry
- Sexual selection, behavior, hormones, all affect each other.
- Testes are physiologically expensive and reflect mating systems.
- Some reduce testes size after mating.
- In polyandrous species, males will have larger testes size as there will be sperm competition.
- Behavior can drive phenotypic changes in animals.
- The Ecology of Fear: Behavioral, physiological, and neurobiological costs of avoiding predation.
- Nonconsumptive Effects: (You are not eating, drinking, you are staying vigilant, you are not tending to young.)
- Prey that are incredibly stressed won’t eat, drink.
- This can have cascading effects on ecosystems (Yellowstone).
- When one animal leaves, such as a grazer, those plants can flourish, nourish streams, increase populations of other species.
- Fear can lead to evolutionary changes.
- Less fear equals more predation, less offspring, and less fitness.
- Or it can be the other way around when predators are rare.
- More fear can lead to more vigilance and medium fitness.