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Ecology and Populations
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Ecology The study of interactions between organisms and other organisms and organisms and the environment. All about interdependence… It’s all connected! Biotic factors– living things in the environment Abiotic factors– non-living things in the environment– salinity, temperature, salinity, sunlight, rock and soil, climate (macro vs. microclimate)
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Levels of Organization…
Can study systems at different levels. Smallest Largest Individual, population, community, ecosystem, biome, biosphere. Ecologist use observations & experiments to test explanations for distributions and abundance of species.
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Population Ecology A population is a group of individuals of the same species living in an area
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Distribution Patterns
Populations disperse in a variety of ways that are influenced by environmental and social factors Uniform distribution results from intense competition or antagonism between individuals. Random distribution occurs when there is no competition, antagonism, or tendency to aggregate. Clumping is the most common distribution because environmental conditions are seldom uniform. Uniform and random distributions are relatively rare and occur only where environmental conditions are fairly uniform. A uniform distribution results from intense competition or antagonism between individuals. Random distribution occurs when there is no competition, antagonism, or tendency to aggregate. The conditions are uniform. It is rare for all these conditions in the environment to be met. Clumping is the most common distribution because environmental conditions are seldom uniform, reproductive patterns favor clumping, and animal behavior patterns often lead to congregation. The optimum density for population growth and survival is often an intermediate one; undercrowding can be as harmful as overcrowding.
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Small Geographic Range
Most species have a small geographic range
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Survivorship curves What do these graphs indicate regarding species survival rate & strategy? 25 1000 100 Human (type I) Hydra (type II) Oyster (type III) 10 1 50 Percent of maximum life span 75 Survival per thousand I. High death rate in post-reproductive years II. Constant mortality rate throughout life span Type I curve is flat at the start, reflecting low death rates during early and middle life, then drops steeply as death rates increase among older age groups. Humans and many other large mammals that produce few offspring but provide them with good care often exhibit this kind of curve. Type II curves are intermediate, with a constant death rate over the organism’s life span. This kind of survivorship occurs in Belding’s ground squirrels and some other rodents, various invertebrates, some lizards, and some annual plants. Type III curve drops sharply at the start, reflecting very high death rates for the young, but then flattens out as death rates decline for those few individuals that have survived to a certain critical age. This type of curve is usually associated with organisms that produce very large numbers of offspring but provide little or no care, such as long–lived plants, many fishes, and marine invertebrates. An oyster, for example, may release millions of eggs, but most offspring die as larvae from predation or other causes. Those few that survive long enough to attach to a suitable substrate and begin growing a hard shell will probably survive for a relatively long time. III. Very high early mortality but the few survivors then live long (stay reproductive)
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Ideal Survivorship Curves
1,000 100 II Number of survivors (log scale) 10 Ask some graphical analysis questions: Which type of curve would best depict the survivorship curve of jellyfish? Type III Which type of curve would best depict the survivorship curve of a lizard? Type II III 1 50 100 Percentage of maximum life span 8
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Population Growth Curves
𝑑𝑁 𝑑𝑡 =𝐵−𝐷 d = delta or change N = population Size t = time B = birth rate D =death rate More graphical analysis questions: Ask students how many more deaths occurred in 2001 than births? Qualitative Analysis: Locate both time intervals. In 2000, the population of perch was 16,000 in 2001, the population declined to 1600, therefore 4,000 more deaths occurred than there were births. Don’t let students think that it is as simple as 4,000 perch “died”, make sure they understand that births didn’t cease! Quantitative Analysis: 𝑑𝑁 𝑑𝑡 =𝐵−𝐷∴ =12,000−16,000=−4,000, therefore 4,000 more deaths than births between 2000 and 2001.
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Population Growth Models
Exponential model (blue) idealized population in an unlimited environment (J-curve); can’t continue indefinitely. r-selected species (r = per capita growth rate) 𝑑𝑁 𝑑𝑡 = 𝑟 𝑚𝑎𝑥 𝑁 Logistic model (red) considers population density on growth (S-curve), carrying capacity (K): maximum population size that a particular environment can support; K-selected species 𝑑𝑁 𝑑𝑡 = 𝑟 𝑚𝑎𝑥 𝑁 𝐾−𝑁 𝐾 WOW! 1 bacterium (reproducing every 20 minutes), could produce enough bacteria to form a layer over the entire surface of the Earth 1 foot deep!
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Population Reproductive Strategies
r-selected (opportunistic) Short maturation & lifespan Many (small) offspring; usually 1 (early) reproduction; No parental care High death rate K-selected (equilibrial) Long maturation & lifespan Few (large) offspring; usually several (late) reproductions Extensive parental care Low death rate Emphasize that these r-selected and opportunistic are synonyms as are K- selected and equilibrial. It’s the synonyms that will give students fits when they are reading and interpreting test questions!
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Age Structure Diagrams: Always Examine The Base Before Making Predictions About The Future Of The Population Rapid growth Afghanistan Slow growth United States No growth Italy Male Female Age 85+ 80–84 75–79 70–74 65–69 60–64 55–59 50–54 45–49 40–44 35–39 30–34 25–29 20–24 15–19 10–14 5–9 0–4 Male Female Age 85+ 80–84 75–79 70–74 65–69 60–64 55–59 50–54 45–49 40–44 35–39 30–34 25–29 20–24 15–19 10–14 5–9 0–4 Male Female Age-structure pyramids for the human population of three countries (data as of 2009). Emphasize to students that they should start their analysis at the BASE of these diagrams since that represents the most current population. Also emphasize they respect the vertical line on these diagrams that delineate male vs. female. Briefly explain why the predictions above each graph are likely to hold true. 10 8 6 4 2 2 4 6 8 10 8 6 4 2 2 4 6 8 8 6 4 2 2 4 6 8 Percent of population Percent of population Percent of population 12
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Community Ecology Populations are linked by interspecific interactions that impact the survival & reproduction of the species involved
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Community Structure Community−an assemblage of populations living close enough together for potential interaction Dominant Species−most abundant, highest biomass, powerful control over occurrence and distribution of other species… VA Sugar Maple Keystone Species−NOT necessarily most abundant, exert strong control due to their ecological roles or niches… Sea Otters!!! Richness number of species & abundance Species diversity older = greater diversity larger areas = greater diversity climate = solar input & H2O available Dominant species are exerting powerful control over occurrence and distribution of other species. They are the most abundant or have the highest biomass. Have students suggest WHY one species dominates an ecological community. Plausible hypotheses include: are competitive in exploiting resources OR are most successful at avoiding predation among others. Keystone species are not necessarily the most abundant, but exert strong control over communities due to their ecological roles or niche.
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Biodiversity Communities with higher diversity are
More productive and more stable regarding their productivity Better able to withstand and recover from environmental stresses More resistant to invasive species, organisms that become established outside their native range LO 4.21 The student is able to predict consequences of human actions on both local and global ecosystems. Ask students to first identify some “human actions” that affect ecosystems. Possible answers will most likely include pollution of all sorts or destruction of habitat such as deforestation or damage to coral reefs. Once students identify a “human action”, have them predict and explain the consequences of the human action.
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