10/7/2010. I. Population Demography A. Inputs and Outflows B. Describing a population C. Summary II. Population Growth and Regulation



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/7/ Population Ecology I. Population Demography A. Inputs and Outflows B. Describing a population C. Summary II. Population Growth and Regulation A. Exponential Growth B. Logistic Growth C. What limits growth D. Population Cycles E. Intraspecific Competition F. Source and Sink populations I. Population Demography Population - a set of organisms belonging to the same species and occupying a particular place at the same time (capable of interbreeding). eed Area temporarily unoccupied Population Metapopulations Range of Total Population Definitions Density-- number of animals per unit of area (e.g. no./acre, no./mi ) Populations have traits that are unique birth rates death rates sex ratios age structure mi mi All characteristics have important consequences for populations to grow

/7/ A. Inputs and Outputs Population growth basic processes that increase population size immigration births Reproduction, natality Immigration Population Emigration Mortality basic processes that reduce population size death emigration

/7/ Demography - statistical study of the size and structure of populations and changes within them N t+ =N t +B D+I E Task of demographer to account and estimate these values B. Describing a population Biological phenomena vary with age Reproduction begins at puberty Probability of survival dependent on age Characteristics not fixed but subject to Natural selection Must take age specific approach How can we summarize mortality rates within population?. Life Tables Allow for characterization of populations in terms of age-specific mortality or fecundity Fecundity - potential ability of organism to produce eggs or young; rate of production Life Table Columns x = age nx = # alive at age x lx = proportion of organisms surviving from the start t of the life table to age x dx = number dying during the age interval x to x + qx = per capita rate of mortality during the age interval x to x + a. Two types of Life Tables i. Cohort approach consists of all individuals born during some particular time interval until no survivors remain 3

/7/ most reliable method for determining age specific mortality Could tabulate # surviving each age interval This would give you survivorship directly!! Very few data are available for human populations Why??? trace history of entire cohort Plants ideal for this type sessile, can be tagged or mapped Life table of the grass Poa annua (direct observations). Age (x)* Nu mb er Ali ve Surviv orship (l x) Mortal ity Rate (q x) Survi val Rate (s x) Expect ation of life (ex) 843..43.857.4 7.857.7.79.467 57.65.4.6. 3 36.375.544.456.685 4 44.7.66.374.53 5 54.64.7.78.344 6 5.8.8.. 7 3.4... 8. *Number of 3-month periods: in other words, 3 = 9 months ii. Segment (static) approach snap-shot of organisms alive during a certain segment of time Not possible to monitor dynamics of populations by constructing a cohort table rarely possible for animals Examine whole population at a particular point in time Get distribution of age classes during a single time period (cross section of the population) 4

/7/ Hunter harvest data Assumptions individuals must be random sample of population you are studying population must be stable age-specific mortality and fecundity must be constant Life Tables. allow to discover patterns of birth and mortality. uncover common properties p shared by populations understanding of population dynamics b. Calculations Given any one column you can calculate the rest Relationship n x+ = nx dx qx = dx/nx lx = nx/no c. Data used for ecological life tables. Survivorship directly observed (lx) generates cohort life table directly and does not involve assumption that population is stable. Age at death observed data may be used to estimate static life table 3. Age structure observed can be used to estimate static life table, must assume constant age distribution 5

/7/. Survivorship curves plot nx (lx) against x get survivorship curve can detect changes in survivorship by period of life a. 3 generalized types Type I characterized by low mortality up to physiological life span humans animals in captivity some invertebrates Spruce Sawfly Type II Constant mortality, environment important here birds after nest-leaving 6

/7/ Type III high juvenile mortality then low mortality to physiological life span insects plants fish b. Plotting data Most survivorship curves are plotted on a logarithmic scale Consider populations both reduced by ½ over unit of time 5 5 5 ---- slope = -5 5 ---- slope = -5 Both cases population reduced by ½ but when plotted slopes will be much different If you use the log scale slope will be identical in each case. c. Difficulty with generalizations As a cohort ages it may follow more than one survivorship curve. log lx x 7

/7/ Generalizations regarding age-specific birth rates more straightforward Iteroparous reproduction many times during life Basic distinction between species semelparous reproduction in life Typically Pre-reproductive period Reproductive period Post-reproductive period 3. Net Reproductive Value & Intrinsic Capacity for Increase How can we determine net population change? Alfred Lotka method to combine reproduction and mortality for population intrinsic capacity for increase aka biotic potential (slope of population growth curve) = = r max r = per capita rate of increase per unit time Darwin calculated elephants 9 mil in just 5 years 8

/7/ r depends on fertility of species longevity speed of development To determine rate of growth (or decline) need to know how birth and death rates vary with age - Natality or Fertility Life Table - # female offspring produced per unit time, per female age x x lx 9.989 4.988. 9.986.3 4.983.64 9.98.77 34.977.8 39.97.65 44.964.3 49.953.5 Not many live to realize full potential for reproduction Need to estimate # offspring produced that suffers average mortality Net Reproductive Rate R = 3 lx* US Women 989 Net reproductive rate (R ) avg # age class female offspring produced by an average female during lifetime R multiplication rate per generation, temper birth rate by fraction of expected survivors R =.97 x lx 9.989 4.988. 9.986.3 4.983.64 9.98.77 34.977.8 39.97.65 65 44.964.3 49.953.5 9

/7/ Sagebrush Lizards Tinkle 973. Copeia 973:84 What kind of survivorship curve would you expect? x 3 4 5 6 7 8 9. lx.3.43.76.34.3.7.3...9 3.9 4.4 4.4 4.4 4.4 4.4 4.4 GRR = 33. lx*.45.96.5.57.3.3.9.4 Ro =.975 If survival were %, R = 3 (Gross reproductive rate) R =.975 for every female in population there are.975 female offspring If R =. population stays the same and is replacing itself If R <. population declining If R >. population increasing I. Population Demography A. Inputs and Outflows B. Describing a population C. Summary II. Population Growth and Regulation A. Exponential Growth B. Logistic Growth C. What limits growth D. Population Cycles E. Intraspecific Competition F. Source and Sink populations Model Organism Parthenogenic Lives 3 yrs. then dies young at yr. young at yr. young at 3 yr. R =? x lx lx 3 4 R = 3

/7/ Generation Time Timing of reproduction varies - begin immediately after birth delayed until late in life Time of first reproduction = Α Time of last reproduction = Ω Generation time mean period elapsing between birth of parents and birth of offspring. Semelparous organisms generation time = Α Species with overlapping generations more difficult to define. parental population continues to contribute individuals while older offspring do as well Aphid 4.7 days Mathematically we can define generation time for a population with overlapping generations as - G = 3 lx**x R

/7/ Calculate generation time for this organism x 3 4 lx lx R = 3 lxx Average time between birth of parents and birth of offspring =.33 age categories G = 4/3 =.33 Intrinsic Rate of Natural Increase If R > then we know?? The population is growing but at what rate?? Intrinsic rate of natural increase measure of instantaneous rate of change of a population # per unit time per individual r difficult to calculate only determined through iteration using Euler s Implicit Equation 3e rx lx* = e =.78 r = intrinsic rate of natural increase lx, r can be estimated r = loge (R ) / G G = generation time loge = log base e, natural log

/7/ for model organism R = 3. G =.33 r = loge (3.) /.33 r =.86 individuals added per individual per unit time For overlapping generations G is approximation & r is approximation r > growing population r < declining population r = stable population r = loge (R ) / G r inversely proportional to G What does this mean??? higher the G ---- lower r r = loge (R ) / G r is positive when R is greater than (ln = ) r = loge (R ) / G When R is as high as possible the maximal rate of r is realized (r max ) Calculate r for this squirrel population. x lx..3.5 3 3 9.9 3 4.4 5. 3

/7/ R = 3 lx* x lx lx. r = loge (R ) / G.3.6.5 3.45 G = 3 lx**x 3.9 3.7 4.4.8 R 5. 3.4 R =.4 R = 3 lx* x 3 4 5 3 lx..3.5.9.4. R =.4 G =.63/.4 =.88 3 3 lx.6.45.7.8.4 xlx.6.9.8.3.63 G = 3 lx**x R x R =.4 G =.88 lx lx xlx..3.6.6.5 3.45.9 3.9 3.7.8 4.4.8.3 5. 3.4.63 r =.336 /.88 =.79 r = loge (R ) / G What can we conclude about this population? r =.79 thus the population is increasing by.79 individuals added/individual/unit time Demographers can also calculate the replacement rate for a population the rate of reproduction that will result in population growth. 4

/7/ 4.Stable Age Distribution Age distribution (age structure) determines (in part) population reproductive rates, death rates, and survival. Theoretically all continuously breeding populations tend toward a stable age distribution. Stable age distribution ratio of each group in a growing population remains the same. IF age-specific birth rate and age-specific death rate do not change. 5

/7/ Lotka proved that any pair of unchanging lx and schedules eventually give rise to a stable age distribution Each age class grows at a constant rate - λ the rate of population change λ, the finite multiplication rate λ = e r e =.78 λ =. Nt = N λ t used to project but not predict population size If this occurs then we get exponential population growth Nt = N λ t This equation can be rewritten as Nt = N e rt or dn/dt = rn A population will grow and grow exponentially as long as r is positive and constant! 6

/7/ C. Summary The rate of increase (Nt = N e rt ) is ultimately a function of age specific mortality and natality What value is knowing r? used to compare between different species used to compare actual against what species is capable of How does modifying life history characteristics affect r?. change # of offspring produced (change column affects R ). change longevity (change lx column affects R ) 3.change age at first reproduction (change, and G) GRR = 3 but difference in age at st reproduction x lx lx* lx lx*.5.5.5.5 Population, r = -.49 Population, r =. so, age at first reproduction can have big affect on r.... 3... R =.8 R =.7 7

/7/ Characteristics of species with high and low r values High values occupy temporary harsh environments, unpredictable selection has put premium on high r before environment turns bad high r species good colonizers Low values live in stable predictable environments, little need for rapid population growth environment is saturated selection puts premium on competitive ability rather than reproduction. I. Population Demography A. Inputs and Outflows B. Describing a population C. Summary II. Population Growth and Regulation A. Exponential Growth B. Logistic Growth C. What limits growth D. Population Cycles E. Intraspecific Competition F. Source and Sink populations II. Population Growth and Regulation Central process of ecology population growth No population grows forever, so must be some regulation. Demographic variables useful because permits prediction of future changes.. apply demographic parameters to description of growth and regulation. examine difficulties in analyzing and predicting growth A. Exponential Growth Continuous growth in unlimited environment modeled by dn/dt = rn Assumes r is constant 8

/7/ Does exponential ever really occur in nature? YES! Under certain circumstances short period of time unlimited resources. Exponential growth in trees Pleistocene N. Hemisphere pines followed retreating glaciers northward Case Studies Examine sediments in lakes and ID pollen Estimated population sizes by counting pollen #/cm What is assumption? Rate of pollen deposition is proportional to # of trees Trees found to grow at exponential rate. K. Bennett 983. Nature 33:64 Pollen accu umulation rate 5 5 9

/7/