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Population Dynamics Chapter 10 Honeybees pollinate one-third of the fruits, nuts and vegetables that end up in our homey kitchen baskets. Fall 2006- the nation’s beekeepers watched in horror as more than a quarter of their 2.4 million colonies collapsed, killing billions of nature’s little fertilizers. 1 1 Outline • Dispersal – In Response to Climate Change – In Response to Changing Food Supply – In Rivers and Streams • • • • • Metapopulations Estimating Patterns of Survival Survivorship Curves Age Distribution Rates of Population Change – Overlapping Generations 2 2 dispersal 3 3 4 4 Dispersal • Africanized Honeybees – Honeybees (Apis melifera) evolved in Africa and Europe and have since differentiated into many locally adapted subspecies. • Africanized honeybees disperse much faster than European honeybees. – Within 30 years they occupied most of South America, Mexico, and all of Central America. 5 5 6 6 Africanized Honeybees 7 7 Collared Doves Mourning Dove (left) with Eurasian Collared-Dove (right). Photo by Marie Weinstein, Alabaster, AL. • Collared Doves, Streptopelia decaocto, spread from Turkey into Europe after 1900. – Dispersal began suddenly. • Not influenced by humans. • Took place in small jumps. – 45 km/yr 8 8 Collared Doves 9 9 Rapid Changes in Response to Climate Change • Organisms began to spread northward about 16,000 years ago following retreat of glaciers and warming climate. – Evidence found in preserved pollen in lake sediments. – Movement rate 100 - 400 m/yr. 10 10 Rapid Changes in Response to Climate Change 11 11 12 12 13 13 Dispersal in Response to Changing Food Supply • Holling observed numerical responses to increased prey availability. – Increased prey density led to increased density of predators. • Individuals move into new areas in response to higher prey densities. 14 14 15 15 Dispersal in Rivers and Streams • Stream dwellers have mechanisms to allow them to maintain their stream position. – Streamlined bodies – Bottom-dwelling – Adhesion to surfaces • Tend to get washed downstream in spates. – Muller hypothesized populations maintained via dynamic interplay between downstream and upstream dispersal. • Colonization cycle 16 16 Dispersal in Rivers and Streams 17 17 18 18 19 19 Metapopulations • A metapopulation is made up of a group of subpopulations living on patches of habitat connected by an exchange of individuals. – Alpine Butterfly - Roland et.al. – Lesser Kestrels - Serrano and Tella. 20 20 21 21 22 22 Estimating Patterns of Survival • Three main methods of estimation: – Cohort life table • Identify individuals born at same time and keep records from birth. – Static life table • Record age at death of individuals. – Age distribution • Calculate difference in proportion of individuals in each age class. • Assumes differences from mortality. 23 23 High Survival Among the Young • Murie collected Dall Sheep skulls, Ovis dalli. – Major Assumption: Proportion of skulls in each age class represented typical proportion of individuals dying at that age. • Reasonable given sample size of 608. – Constructed survivorship curve. • Discovered bi-modal mortality. – <1 yr. – 9-13 yrs. 24 24 Fig. 10.13 25 25 Fig. 10.14 26 26 Survivorship Curves • Type I: Majority of mortality occurs among older individuals. – Dall Sheep • Type II: Constant rate of survival throughout lifetime. – American Robins • Type III: High mortality among young, followed by high survivorship. – Sea Turtles 27 27 Survivorship Curves 28 28 Age Distribution • Age distribution of a population reflects its history of survival, reproduction, and growth potential. • Miller published data on age distribution of white oak (Quercus alba). – Determined relationship between age and trunk diameter. – Age distribution biased towards young trees. • Sufficient reproduction for replacement. – Stable population 29 29 Age Distribution 30 30 Age Distribution • Rio Grande Cottonwood populations (Populus deltoides wislizenii) are declining. – Old trees not being replaced. – Reproduction depends on seasonal floods. • Prepare seed bed. • Keep nursery areas moist. – Because floods are absent, there are now fewer germination areas. 31 31 Fig. 10.20 32 32 Dynamic Population in a Variable Climate • Grant and Grant studied Galapagos Finches. – Drought in 1977 resulted in no recruitment. • Gap in age distribution. • Additional droughts in 1984 and 1985. • Reproductive output driven by exceptional year in 1983. – Responsiveness of population age structure to environmental variation. 33 33 34 34 Fig. 10.21a 35 35 Fig. 10.21b 36 36 Rates of Population Change • Birth Rate: Number of young born per female. • Fecundity Schedule: Tabulation of birth rates for females of different ages. 37 37 • Estimating Rates for an Annual Plant P. drummondii – Ro = Net reproductive rate; Average number of seeds produced by an individual in a population during its lifetime. – Ro= Σ lxmx • X= Age interval in days. • lx = % pop. surviving to each age (x). • mx= Average number seeds produced by each individual in each age category. 38 38 Estimating Rates for an Annual Plant • Because P. drummondii has nonoverlapping generations, can estimate growth rate. – Geometric Rate of Increase (λ): • λ=N t+1 / Nt • N t+1 = Size of population at future time. • Nt = Size of population at some earlier time. 39 39 Estimating Rates when Generations Overlap • Common Mud Turtle (K. subrubrum) – About half turtles nest each year. – Average generation time: T = Σ xlxmx / Ro – X= Age in years – Per Capita Rate of Increase: r = ln Ro / T – ln = Base natural logarithms 40 40 Review • Dispersal – In Response to Climate Change – In Response to Changing Food Supply – In Rivers and Streams • • • • • Metapopulations Estimating Patterns of Survival Survivorship Curves Age Distribution Rates of Population Change – Overlapping Generations 41 41 42 42