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BIOSCI 108 class notes

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Lecture 1
Taxonomy in Biology

- Definition: Taxonomy is the science of naming, describing, and classifying organisms into
groups within a larger system, based on their similarities and differences.

- Binomial Nomenclature: Introduced by Carl Linnaeus in the 18th century, it breaks down a
species' name into two parts: the genus (capitalized) and a specific species name (not
capitalized). These names are traditionally in Latin or Greek, but there's a recent shift
towards using indigenous names. Example: Ursus arctos (Grizzly Bear), Aotearoa luminosa
(Glowworms in New Zealand caves), Mickidemia tofirea (a black beetle studied by the
lecturer's colleague).



Linnaean System

- Hierarchy: Species are grouped into a hierarchical structure starting from the broadest
category to the most specific. For example, the red fox is classified from Eukaryote down to
its specific species.

- Classification Criteria: Initially based on morphology, but now more accurately determined
by DNA, reflecting evolutionary relationships.



Early Taxonomy

- Early taxonomists classified all life into plants and animals based on simple criteria like
consumption. This included misclassifications such as bacteria and algae as plants.

- Kingdom of Life (1960s): Introduced a new classification based on cell types into
prokaryotes and eukaryotes, leading to categories like plants, animals, fungi, bacteria, and
protists.



Modern Classification

- Three Domains of Life: Today, life is classified into Bacteria, Archaea (single-celled
organisms), and Eukarya (multicellular organisms).



Systematics

,- Building Phylogenies: Taxonomy also involves constructing phylogenetic trees to visualize
evolutionary relationships.

- Phylogenetic Trees: Represent hypotheses of evolutionary
relationships, showing how species are related and when they
diverged. Trees are constructed based on shared derived traits.
Example: A phylogenetic tree showing the evolution of specific
traits like jaws, lungs, and feathers among various species,
without implying timelines unless specified. --> Complexity :
Phylogenetic trees can range from simple to very complex,
illustrating the diversity within a single genus or across broader
groups.




Lecture 2
Introduction to Biodiversity

- Definition: Biodiversity refers to the variety of life in a particular habitat or larger area,
encompassing not just visible plants and animals but also microorganisms like fungi and
bacteria.



Components of Biodiversity

1. Genetic Diversity: Variation among individuals within and between populations.

2. Species Diversity: The number and abundance of species in a particular area.

3. Ecosystem Diversity: Diversity among different ecosystems within a landscape.



Measuring Biodiversity

- Biodiversity measurement can vary based on the scope of study, ranging from specific
habitats to entire ecosystems.

- Techniques include surveying various life forms, from large animals and plants to
microscopic organisms.

- The complexity of ecosystems, such as coral reefs or urban environments, necessitates

,focused studies due to the vast number of species present.



Biodiversity in Different Environments

- Urban areas like Auckland City, despite their concrete landscapes, host diverse ecosystems
with various microhabitats supporting different species.

- Parks within cities offer green spaces that contribute to urban biodiversity, providing
habitats for native and introduced species.



Native, Endemic, Introduced, and Invasive Species

- Endemic Species: Evolved in New Zealand and found nowhere else.

- Native Species: Originated in or naturally migrated to New Zealand.

- Introduced Species: Brought to New Zealand by humans, potentially becoming invasive if
they spread and dominate over native species.



Importance of Biodiversity

- Biodiversity is crucial for ecosystem health and human well-being, supporting services like
pollination, water purification, and cultural value.

- Conservation efforts focus on maintaining or restoring biodiversity to ensure ecosystem
resilience and functionality.



Biodiversity Metrics and Indices

- Species Richness: The number of different species in a given area.

- Species Abundance: The number of individuals per species within an area.

- Diversity Indices: Mathematical measures that combine species richness and abundance to
provide a single value reflecting biodiversity. Common indices include the Shannon Index and
Simpson Index.



Types of Diversity

- Alpha Diversity: Diversity within a specific habitat or ecosystem.

, - Gamma Diversity: Overall diversity across a larger landscape or region.

- Beta Diversity: Variation in species composition between habitats within a region.



Quantifying Biodiversity

- Quantitative analysis of biodiversity involves statistical methods to calculate diversity
indices, accounting for species richness, abundance, and evenness/dominance within
communities.

To interpret the diversity numbers mentioned in the lecture, here's a breakdown:



Understanding Diversity Numbers

- High Diversity Values: These values indicate a high species richness, meaning a large
number of different species within a given habitat or across landscapes. Additionally,
uniformity in the distribution of individuals among these species contributes to higher
diversity values. This uniformity ensures that no single species dominates, allowing for a
balanced ecosystem.

- Alpha Diversity: Represents the diversity within a single habitat. For instance, a desert lizard
community with a species richness of three and an alpha diversity of 1.1 signifies a relatively
lower diversity within that specific habitat.

- Gamma Diversity: Reflects the total species diversity across a larger landscape,
encompassing multiple habitats. A higher gamma diversity number (e.g., 1.76 with a species
richness of seven) suggests greater overall biodiversity across the landscape compared to the
diversity within individual habitats (alpha diversity).

- Beta Diversity: Measures the difference in species composition between habitats or over
time within the same habitat. It helps understand the variation or turnover of species across
spatial scales or temporal scales. Higher beta diversity values indicate greater differences
between communities, implying a variety of habitats or significant changes in the community
over time.



Implications

- Ecosystem Health: Higher diversity values are generally associated with healthier
ecosystems. They indicate a variety of species with balanced populations, contributing to
ecosystem stability, resilience, and productivity.

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