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Population Dynamics, Carrying Capacity, and Conservation Biology G. Tyler Miller’s Living in the Environment 13th Edition Chapter 9 Dr. Richard Clements Chattanooga State Technical Community College Population Dynamics and Carrying Capacity Population dynamics Zero population growth (ZPG) Biotic potential (intrinsic rat of increase [r]) Environmental resistance Carrying capacity Minimum viable population (MVP) Population Dispersion Fig. 9-2 p. 191 Factors Affecting Population Size Fig. 9-3 p. 192 Exponential and Logistic Growth Fig. 9-4 p. 192 Fig. 9-5 p. 193 Fig. 9-6 p. 193 Population Density Effects Density-independent controls Density-dependent controls Natural Population Curves Fig. 9-7 p. 194 The Role of Predation in Controlling Population Size Predator-prey cycles Top-down control Bottom-up control Fig. 9-8 p. 195 Reproductive Patterns and Survival Asexual reproduction r-selected species Sexual reproduction K-selected species Fig. 9-10 p. 196 Survivorship Curves Fig. 9-11 p. 198 Conservation Biology: Sustaining Wildlife Populations Investigate human impacts on biodiversity Ideas for maintaining biodiversity Endangered species management Wildlife reserves and ecological restoration Ecological economics Environmental ethics Wildlife management Human Impacts on Ecosystems Habitat degradation and fragmentation Ecosystem simplification Genetic resistance Predator elimination Introduction of non-native species Overharvesting renewable resources Interference with ecological systems Learning from Nature Interdependence Diversity Resilience Adaptability Unpredictability Limits See Connections p. 200 The Human Population: Growth, Demography, and Carrying Capacity G. Tyler Miller’s Living in the Environment 13th Edition Chapter 12 Dr. Richard Clements Chattanooga State Technical Community College Factors Affecting Human Population Size Population change equation Population Change = (Births + Immigration) – (Deaths + Emigration) Zero population growth (ZPG) Crude birth rate (BR) Crude death rate (DR) Refer to Fig. 12-3 p. 255 Natural Rate of Increase Annual world population growth <1% 1-1.9% 2-2.9% 3+% Data not available Fig. 12-4 p. 256 Fertility Rates Replacement-level fertility Total fertility rate (TFR) Births per woman <2 4-4.9 2-2.9 5+ 3-3.9 No Data Fig. 12-10 p. 258 Factors Affecting BR and TFR See bulleted list in text p. 259 Births per thousand population US BR’s and TFR’s 32 30 28 26 24 22 20 18 16 14 0 1910 Fig. 12-13 p. 259; see Fig. 12-12 p. 259 End of World War II Demographic transition 1920 Depression 1930 1940 Baby boom 1950 1960 Year Baby bust 1970 Echo baby boom 1980 1990 2000 2010 Factors Affecting DR Life expectancy Infant mortality rate (IMR) Infant deaths per 1,000 live births <10 <10-35 <36-70 <71-100 <100+ Data not available Fig. 12-18 p. 262 Factors Affecting Natural Rate of Increase Rate of natural increase = crude birth rate – crude death rate 50 40 Rate per 1,000 people 50 Rate of natural increase 30 Crude birth rate 20 Crude death rate 10 0 17751800 1850 1900 1950 Crude birth rate 40 30 Crude death rate Rate of natural increase 20 10 2000 2050 0 17751800 Fig. 12-17 p. 262 1850 1900 1950 Year 2000 © 2004 Brooks/Cole – Thomson Learning Developing Countries Developed Countries 2050 Fig. 12-19 p. 263 Population Age Structure Male Female Rapid Growth Guatemala Nigeria Saudi Arabia Ages 0-14 Slow Growth United States Australia Canada Ages 15-44 Zero Growth Spain Austria Greece Negative Growth Germany Bulgaria Sweden Ages 45-85+ Solutions: Influencing Population Size Migration Environmental refugees Reducing births Family planning Empowerment of women Economic rewards and penalties The Demographic Transition Stage 2 Transindustrial Stage 3 Industrial Stage 4 Postindustrial High 80 70 Fig. 12-25 p. 269 Relative population size Birth rate and death rate (number per 1,000 per year) Stage 1 Preindustrial 60 50 Birth rate 40 30 Death rate 20 10 0 Total population Low Increasing Growth Very high Decreasing Low Zero growth rate growth rate growth rate growth rate growth rate growth rate Time Low Negative growth rate Case Study: Slowing Population Growth in India Generally disappointing results: Poor planning Bureaucratic inefficiency Low status of women Extreme poverty Lack of support Case Study: Slowing Population Growth in China Generally positive results: Economic incentives Free medical care Preferential treatment Intrusive and coercive Locally administered Cutting Global Population Growth Family planning Reduce poverty Elevate the status of women