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Generalist Species
🌍 Definition: Organisms that can thrive in a variety of environments and use a wide range of resources.
✅ Characteristics:
Use many different resources.
Adapt to various environments.
High tolerance for change.
Advantage when environmental conditions change.
Less likely to go extinct.
🔹 Example: Humans 👩🔬
Specialist Species
🔬 Definition: Organisms with narrow niches, requiring specific environmental conditions and resources.
✅ Characteristics:
Use a specific set of resources.
Less adaptable to environmental changes.
Low tolerance for change.
Easily affected by environmental disruptions.
More likely to become extinct.
🔹 Example: Pandas 🐼
r-Strategists
🐭 Definition: Species that reproduce quickly, with many offspring and little parental care.
✅ Characteristics:
Not endangered
Many offspring, tend to overproduce
Low parental care
Mature rapidly
Short-lived
Small in size
Tend to be prey
Type III survivorship curve (high infant mortality)
Wide fluctuations in population density
Limited by density-independent factors (climate, weather, natural disasters)
🔹 Examples: Insects, algae, bacteria, rodents, annual plants
K-Strategists
🐘 Definition: Species that invest in fewer offspring with high parental care and long lifespans.
✅ Characteristics:
Most endangered
Few offspring
High parental care
Mature slowly
Long-lived
Larger in size
Tend to be predators (but can be prey too)
Type I or II survivorship curve (higher survival rates)
Population size stabilizes near carrying capacity
Limited by density-dependent factors (competition, predation, parasitism, migration)
🔹 Examples: Humans, elephants, cacti, sharks
Survivorship Curves
📊 Definition: Graphs that show the age distribution of species, reproductive strategies, and life history.
✅ Key Concept:
Reproductive success is measured by how many organisms survive to reproduce.
Survivorship curves show the balance between resource limitations, interspecific, and intraspecific competition.
Type I - Late Loss
🧑⚕ Characteristics:
Most individuals survive to old age
Low mortality at birth, high probability of survival
Deaths occur mostly at biological lifespan limit
Advancements in prenatal care, nutrition, and disease prevention improve survival
📌 Examples: Humans, elephants, annual plants, sheep
Type II - Constant Loss
🦜 Characteristics:
Steady death rate across all ages
Predation is the primary cause of death
Organisms reach adult stages quickly
📌 Examples: Rodents, songbirds, perennial plants
Type III - Early Loss
🐢 Characteristics:
Many offspring, but high early mortality
Death is high in younger stages due to predation & environmental factors
Older individuals have higher survival chances
📌 Examples: Sea turtles, trees, fish, oysters, internal parasites
Carrying Capacity (K)
🌱 Definition: The number of individuals that can be sustainably supported in a given area.
Variation in Carrying Capacity
🔄 Species-Specific: Varies from species to species.
📉 Dynamic Over Time: Decreases as the environment degrades.
Regulating Factors
⚖ Purpose: Keep population sizes in balance with carrying capacity.
☀ Sunlight: Amount available for growth.
🍃 Food Availability: Resources to support individuals.
🧪 Nutrient Levels: In soil profiles supporting plant life.
💧 Oxygen Content: In aquatic ecosystems for respiration.
📏 Space: The physical area available for living.
Population Dispersal Patterns
📍 Definition: The way individuals of a species are distributed in a habitat.
Clumped: Organisms group together in areas with patchy resources.
🐺 Examples: Social animals, prey species, pack hunters.
Random: Individuals are spaced unpredictably due to uniform environmental conditions.
🌿 Examples: Dandelions, wind-dispersed plants.
Uniform: Evenly spaced individuals due to competition for resources.
🌵 Examples: Territorial animals, desert plants.
Biotic Potential
🌱 Definition: Maximum reproductive capacity of a species under ideal conditions.
Increases Biotic Potential: Adaptability, migration, high birth rates, low competition.
Decreases Biotic Potential: Specialized niches, high competition, disease, unfavorable habitat.
📈 J-Curve (Exponential Growth)
Rapid increase in population until resources are depleted, leading to a crash.
📊 S-Curve (Logistic Growth)
Slow initial growth, rapid increase, then stabilization at carrying capacity (K).
Feedback Loops
🔄 Positive Feedback Loop: Amplifies change (e.g., population booms).
⚖ Negative Feedback Loop: Stabilizes systems (e.g., predator-prey balance).
Limiting Factors
🚧 Definition: Resources or conditions that restrict population growth.
Density-Dependent: Affected by population size (e.g., food, disease, predation).
Density-Independent: Unaffected by population size (e.g., climate, natural disasters).
Rule of 70 (Population Doubling Time)
🧮 Formula: Doubling Time (years) = 70 / Growth Rate (%)
Larger growth rate → Faster doubling time.
Populations cannot grow indefinitely.
Important Population Formulas
📝 Birth Rate (%) = (Total Births / Total Population) × 100
📝 Death Rate (%) = (Total Deaths / Total Population) × 100
📝 Doubling Time = 70 / % Growth Rate
📝 Population Density = Total Population / Total Area
Impacts of Population Growth
🌍 Biodiversity: Habitat destruction reduces species survival.
🌊 Coastlines & Oceans: Overfishing, habitat loss.
🌲 Forests: Deforestation exceeds sustainable use.
🍽 Food Supply: Malnutrition increases with population growth.
💧 Freshwater: Rising demand, limited supply.
🔥 Climate Change: More greenhouse gases → Rising temperatures.
🏥 Public Health: Pollution and disease worsen with high populations.
Age-Structure Diagrams
📊 Definition: Graphical representations of population distribution by age and sex.
Determined by:
📈 Birth Rate
🕰 Generation Time
⚰ Death Rate
⚥ Sex Ratios
Types of Age-Structure Diagrams
1⃣ Pyramid-Shaped 🔺
Characteristics:
High birth rates 📈
Majority in pre-reproductive & reproductive age groups
Indicates a growing population
Example: Developing countries 🌍
Types of Age-Structure Diagrams
2⃣ Bell-Shaped 🔔
Characteristics:
Pre-reproductive & reproductive age groups nearly equal
Post-reproductive group smallest due to mortality
Indicates a stable population
Example: Developed countries with stable birth rates 🏙
Types of Age-Structure Diagrams
3⃣ Urn-Shaped ⚱
Characteristics:
Post-reproductive group largest
Pre-reproductive group smallest
Birth rate lower than death rate
Indicates a declining population
Example: Countries with aging populations (e.g., Japan 🇯🇵, Italy 🇮🇹)
Total Fertility Rate (TFR)
🍼 Definition: The average number of children a woman will have during her lifetime.
Factors Leading to a Decline in TFR
1⃣ Healthcare & Family-Planning 🏥
Increased access to primary healthcare and family planning services in developing countries transitioning to developed countries.
2⃣ Female Education 🎓
More educational opportunities for females, leading to delayed childbearing.
3⃣ Career Prioritization 💼
Millennials are delaying marriage to focus on career and personal goals.
4⃣ Desire for Higher Standard of Living 💸
Many individuals and families want to improve their standard of living, often by having fewer children.
5⃣ Increased Female Workforce Participation 👩💼
More women are joining the workforce, leading to fewer children per family.
6⃣ Contraception Acceptance 💊
Greater acceptance of contraception by individuals and governments, enabling family planning.
7⃣ Urbanization 🏙
In urban areas, the cost of living rises, reducing the need for extra children to assist on farms.
Factors Reducing Human Death Rates
1⃣ Increased Food & Distribution 🍞
Improved nutrition from increased food production and efficient distribution.
2⃣ Medical & Public Health Advancements 💉
Better access to anesthetics, antibiotics, and vaccinations.
3⃣ Sanitation & Hygiene 🚿
Enhanced sanitation and personal hygiene practices.
4⃣ Safe Water Supply 💧
Improvements in the safety of water supplies.
Human Population Growth Surges
1⃣ Use of Tools 🛠 (3.5 million years ago)
Early humans started using tools for survival.
2⃣ Discovery of Fire 🔥 (1.5 million years ago)
Fire discovery allowed better survival and food processing.
3⃣ First Agricultural Revolution 🌾 (~10,000 B.C.E.)
Shift from hunting and gathering to crop growing.
4⃣ Industrial & Medical Revolutions 🏭💊 (~200 years ago)
Industrial and medical advancements spurred population growth.
Human Population Growth Stages
Before Agricultural Revolution
👥 Population: ~1-3 million
🌍 Lifestyle: Hunter-gatherer
💡 Earth Wisdom: Natural cycles can guide human behavior.
8000 B.C.E. to 5000 B.C.E.
👥 Population: ~50 million
🌱 Advances: Agriculture, domestication of animals, settling down
💡 Earth Wisdom: Natural cycles continue as models for behavior.
5000 B.C.E. to 1 B.C.E.
👥 Population: ~200 million
📉 Growth Rate: 0.03-0.05% (compared to today's 1.3%)
🌍 Worldview: "Frontier Worldview" - viewed land as to be exploited for resources.
0 C.E. to 1300 C.E.
👥 Population: ~500 million
⚔ Factors: Famines, wars, disease slowed growth
🌍 Worldview: Frontier mindset persists.
1300 C.E. to 1650 C.E.
👥 Population: ~600 million
💀 Plagues: Significant loss of life, plagues caused up to 25% mortality rates.
1650 C.E. to Present
👥 Population: ~7.5 billion
🌱 Growth Rate: Increased to ~1.2%
🏥 Factors: Healthcare, hygiene, medical advances, education
🌍 Worldview: "Planetary Management" - Humans are in charge of Earth, resources are virtually unlimited.
Present to 2050 C.E.
👥 Estimated Population: ~9.8 billion
🌱 Worldview: "Earth Wisdom" - Resources are finite, and we must promote sustainable growth and learn from nature.
Demographic Transition
Transition from high birth and death rates to lower birth and death rates as a country or region develops from pre-industrial to industrialized economic systems.
Stage 1: Pre-Industrial (High Stationary)
1⃣ Characteristics:
Poor agriculture, pestilence, and living conditions cause food scarcity and poor medical care.
High birth rates replace high mortality, resulting in low population growth.
Example: Sub-Saharan Africa, with 54% of the world’s AIDS-HIV cases but only 6% of the population.
Since 2010, drug therapy has reduced new infections by 28% and death rates by 44% in the region.
Stage 2: Transitional (Early Expanding)
2⃣ Characteristics:
Occurs after industrialization begins.
Hygiene, medical advances, sanitation, cleaner water, vaccinations, and higher education lower death rates.
Rapid population increase as death rates drop.
Stage 3: Industrial (Late Expanding)
3⃣ Characteristics:
Urbanization reduces economic incentives for large families.
Families in urban areas are increasingly discouraged from having large families as costs rise.
Female education and employment lower birth rates.
Leisure and food are less prioritized.
Retirement safety nets reduce the need for more children.
Economic pressures lower birth rates until they approach death rates.
Stage 4: Post-Industrial (Low Stationary)
4⃣ Characteristics:
Population growth is zero when birth rates and death rates are equal.
Higher standard of living leads to low birth and death rates.
In some countries, birth rates fall below mortality rates, leading to population losses.
Stage 5: Sub-Replacement Fertility (Declining)
5⃣ Characteristics:
Some theorists believe this is needed to represent countries with sub-replacement fertility.
Death rates exceed birth rates in most European and East Asian nations.
Without mass immigration, countries in this stage face population aging and decline.