exam 2- conservation bio Flashcards
lecture 15: reproductive value
Idealized Survivorship Curves- humans, animals, and shells
humans have a steady max. life span until they are close to 100 years old where the chances of living begin to drop significantly
animals like squirrels have a steady life span expectancy no matter what age they are at
shells’ life span expectancy begins to drop as soon as they are born but when they get to about 20 years they have a higher chance of survival then it drops to zero once again when they are 40+
idealized survivorship curves
a graph showing the number or proportion of individuals surviving to each age for a given species or group (e.g. males or females).
Reproductive Cost
nonreproductive females have a zero chance of annual mortality rate until they reach age 13 where it skyrockets
reproductive females have a 0.15 chance of annual mortality rate from age 3, and at age 4-10 they have an AMR between 0.1 to 0.05, after age 10 the number skyrocket
thus shows that nonreproductive females have a higher chance of living on average than reproductive females
so the cost of reproduction is increased chance of death earlier in life
behavioral cost of reproduction
the behavior/role of clownfish changes in response to the need to be able to reproduce
the role change: the dad becomes the mom and mates with the young…
called mouthing
mouthing
the largest fish is female
second, largest is the reproductive male
then there even smaller ones are waiting (mouthing)
when the female dies the reproductive male becomes a female and the fish that were waiting become the male for the female to reproduce
they become the next thing when they get bigger
for the clown fish, do females or males survive more
females survive more often than male
because males do the mouthing and fanning and they use more energy
for females more eggs, less energy for surviving
what the graph says about brood (family of animals) sizes: for reduced, normal, enlarged
Important Terms for reproductive value
Fecundity
Reproductive Value (RV)- absolute and relative
residual reproductive value (RRV)
Fecundity
the reproductive rate; usually expressed as the number of daughters produced by each female per time
Reproductive Value (RV)
Absolute and relative
a measure of the average influence of an individual of some age on the future size of the population
- absolute reproductive value is the number of offspring an individual is expected to have in their remaining lifetime
- relative reproductive value is the expected remaining reproduction normalized against the expected lifetime reproduction of an individual who was just born
Reproductive Value (RV)
Absolute and relative
a measure of the average influence of an individual of some age on the future size of the population
- absolute reproductive value is the number of offspring an individual is expected to have in their remaining lifetime
- relative reproductive value is the expected remaining reproduction normalized against the expected lifetime reproduction of an individual who was just born
Residual Reproductive Value (RRV)
the number or relative number of offspring expected in the future after the present breeding season (as opposed to “present RV”)
Reproductive Value (RV) is a complex function of age
animals have the highest RV at their first reproduction because they are likely to have more offspring when they have their first one
you can’t also have offspring as soon as your born
chances of reproducing also plummet when they are close to death
Isofitness Curve for Stable Populations
has to do with relative RV
can allow us to look at delayed reproduction
the future probability of having offspring
Delayed Reproduction of isofitness curves
In this population, the most successful strategy is to
delay reproduction
If you calculate RV for every point on the line (residual which is the Y axis + current which is the X axis ), none has a greater value than at the point at which all reproduction is in the future
Optimum for individual or population: the point at which
all reproduction is in the future
Example: An organism just reached sexual maturity but
is not fully grown. Further growth would increase its
ability to survive reproduction and produce more
offspring.
Requires that the organism has a good chance of
survival until the time of reproduction
Semelparity (“the Big Bang”) of is-fitness curves
In this population, the most successful strategy is to
produce all offspring in one event or one short
season
If you calculate RV for every point on the line (residual +
current), none has a greater value than at the point at
which all reproduction is completed
Current reproduction is the largest
Example: An organism just reached sexual maturity but
that organism has a poor chance of survival until the
time of reproduction or poor chance of future
reproduction
Common in situations where the initial costs of
reproduction is high, but once these have been
met, the cost of additional eggs is very low
Iteroparity for isofitness curves
In this population, the most successful strategy is a
mixed strategy to produce some offspring now and
some in the future
If you calculate RV for every point on the line (residual +
current), none has a greater value than at the point at
which the peak is tangent to the largest isofitness
curve it touches
Which reproductive strategy would likely be employed by humans at the ages 12, 25, and 45?
age 12- delayed reproductive value; can have kids but will wait for more growth and maturity
age 25- iteroparity; based on this, human reproduction is iteroparity mixed (age 25)
age 45- semelparity; having all children at the end in a big bang fashion
Which reproductive strategy would likely be employed by sockeye salmon?
semelparity- all at once at the end of their life
helps us understand survivorship and when these organisms are reproducing now or in the future
Estimating Population Size- rarefaction curve
a plot of the number of species against the number of samples. This curve is created by randomly re-sampling the pool of N samples several times and then plotting the average number of species found on each sample.
Estimating Population Size- Mark & Recapture Techniques
are used to estimate the size of a population where it is impractical or impossible to count every individual
Capture a small number of individuals
Put a harmless mark on them
Release them back into the population
After a period of time, capture a new sample of the population and note how many are marked
The percentage of marked individuals should be the same in both the sample and the real population
Estimating Population Size– Mark & Recapture Technique–Lincoln-Petersen Technique
Assumptions:
1. Mark has no impact on survival
2. No effect on the chance of recapture
3. Full mixing of marked and unmarked individuals
4. No age-stage biases (samples are
representative of population demographics)
5. No migration
6. Population size remains approximately stable
during the sampling time
7. Marks on not lost
what can we use to track and count individuals over time
animal sightings and individual morphological features to track and count individuals over time
Need to be paired with sampling effort and sampling location to be effective measures Relies on the ability of the recorder to correctly identify individuals
how can we track and count animals that do not have unique features
For animals that do not have identifiable and unique features, we can also use genetic analysis from noninvasive sampling
Ex: feces contains cells shed from the intestinal lining
- Sampling hair or fur
Use polymerase chain reaction (PCR) technology to amplify small samples of DNA and then use “genetic fingerprinting” techniques to identify individuals
Environmental Stochasticity
Unpredictable events in the environment that primarily result in immediate death or increased survival and may ultimately affect b and i and e
Demographic Stochasticity:
Variation in b and d due to the fact that actual births and deaths have a probabilistic component
They are not constant averages as treated in typical population models.
Ultimately, there may be a cause but often it is hard to discern and overall the processes appear to have random elements.
Population Viability Analysis (PVA)
Quantitative assessment of the probability of the extinction of a population Criteria:
“Good data” — consistent, long-term, accurate, reasonable sampling
Future population growth must resemble its recent past
Population Viability Analysis (PVA)- stochasticity
Including stochasticity is essential for a more realistic analysis, but requires more data
- Highlights the importance of demographic data
- Predictions are more likely to be accurate over the short-term
-Stochasticity can cause a population to go extinct even if it is growing
Minimum Viable Population
-Early application of PVA
-Recent studies suggest that we might not be able to
calculate MVP from models
-The population size above which a species had a
good chance of surviving over some specific time scale
-Initially defined as the smallest isolated population having
a 99% chance of remaining extant for 1,000 years
despite environmental stochasticity
-Currently, often defined as the minimum number of
individuals having a 95% probability of persisting
over 50 or 100 years
-Very useful for targeted conservation efforts to
maintain population level
-Does not take address the fact that a larger number of
individuals may still be required for that species to
perform its functional role in a biological community
Disturbance
a temporary change in environmental conditions that act to disrupt stable ecosystems and alter the structure and/or function of a habitat
can be natural (natural disturbances) or people (anthropogenic disturbances)
D Disturbances
cause a shift in mortality rates (i.e. death)
D for death
example: drought
B Disturbances
cause a shift in reproductive rates (i.e. birth)
B for birth
example: shift in sex ratio
K Disturbances
cause a shift in carrying capacity (K)
K for carrying capacity
shift in food resources or reduce size of habitat
Intermediate Disturbance Hypothesis
states that the highest levels of diversity should theoretically occur at intermediate disturbance levels
Low disturbance
competitive exclusion increases
Intermediate disturbance
disturbance decreases competitive advantage and allows species that can survive at both early and late successional stages to coexist
High disturbance
less diversity due to movement and loss of species
Fires are destructive disturbances that can have diverse impacts:
(1) cause successional processes to occur in some environments
(2) act as a normal small-scale disturbance in some environments (ex: grasslands and fire cycles)
(3) can be used as a form of management in some species
Succession
refers to the change in species composition over time after a disturbance in a predictable manner.
succession pattern is determined by
the physical environment (rainfall, temperature, humidity)
* soil characteristics
* other species and the rates at which they enter the system
Two Types of Succession:
primary and secondary
primary succession
the successional process that occurs after the colonization of a previously uninhabited environment
Secondary succession
the successional process that occurs after a disturbance disrupts an already existing biotic community
stages of succession example
eroding rocks, nutrient deposition which then form bushes, flower
Succession timeline
The timeline for forest succession can be over 100 years. In the United States, monitoring for ecological restoration projects typically is funded for five or less years.
What makes succession possible – why do we move from one stage to the next?
positive feedback loop and complementarian
Why do climaxes exist?
carrying capacity or have more functions occuring
Why is succession important to conservation biologists?
-because we can look into what the management will look like, maybe you care about fire prevention
-what can con. bio. learn from this is learn from the resilience
Resilience
the ability of an ecosystem to maintain its normal patterns of nutrient cycling and biomass production after being subjected to damage caused by ecological disturbance
Individual resilience
ability of individuals or structures to tolerate or persist through disturbance, allowing the system to return to its pre- disturbance state relatively unchanged (persistence)
Population
re-establishment of the pre-disturbance population following the mortality of the original individuals, through recruitment or colonization (recovery)
Community
as the magnitude of disturbance and interacting chronic stressors increase, both persistence and recovery processes can fail, and the system reorganizes into an alternative state
Stability
local and global
- Local stability
stable against minor or short-term disturbances
Global stability
an ecosystem/community that is highly resistant to change in terms of its community structure
and energy/nutrient flows
Constancy
resistance
inertia
resilience
elasticity
amplitude
Resistance
a descriptor of the ability of a system to remain largely the same in the face of disturbance
- Inertia (persistence)
more inertial systems change less in response to perturbations
Resilience
ability to recover and/or rate of recovery from a disturbance
- Elasticity
the speed with which a system returns to a close approximation of the pre-disturbance state
- Amplitude is a measure of
the initial disturbance effect and
* degree of return of a disturbed system
Adaptive Capacity
refers to the latent potential of an ecological system (or other complex systems) to respond to disturbances in a manner that alters its resilience to change
high resilience image
the ball is at the lowest valley meaning that it will take a high amount of disturbance to disturbance the system
low resilience image
the ball is at the highest valley meaning that it will take a low amount of disturbance to disturbance the system
Population genetics
refers to the study of the genetic composition of populations
Distributions and changes in genotype and phenotype frequency
In response to processes of natural selection, genetic drift, mutation, and gene flow
Alpha diversity
refers to the mean diversity of species in different sites or habitats within local scales
Generally the size of one ecosystem Variation within the group
diversity within populations
Beta diversity
refers to the extent of change in community composition, or degree of community differentiation, in relation to a complex gradient of environment, or a pattern of environments
Variation between groups
The ratio between regional and local species diversity
diversity between populations
Gamma diversity
is studied at a very large scale (i.e. biome) where species diversity is compared between many ecosystems.
- The total species diversity within a landscape
- For example entire littoral zone
Factors Affecting Genetic Diversity
directed agents
chance agents
others
Directed Agents affecting genetic diversity
selection
migration including outbreeding
inbreeding
chance agents affecting genetic diversity
mutation
genetic drift
other things affecting genetic diversity
founder events- the population is descended from a small number of colonizing ancestors ( - )
bottleneck events- famine, earthquake, fire, other disasters ( - )
Wahlund effect: subdivision into genetically distinct subpopulations (- heterozygosity)
outbreeding
matings between individuals from different populations, subspecies, or species. Outbreeding can result in a decline in reproductive fitness known as outbreeding depression, but this is less common than inbreeding depression.
ex: being born to parents that are not related
inbreeding
occurs when mates are related to each other due to incest, assortative mating, small population size, or population sub-structuring. Inbreeding results in an excess of homozygotes and hence a deficiency of heterozygotes.
genetic drift
variation in the relative frequency of different genotypes in a small population, owing to the chance disappearance of particular genes as individuals die or do not reproduce.
Dangers of Small Populations- two options
Little new genetic diversity
Rapid loss of old diversity
Little new genetic diversity dangers of small populations
*Mutations are rare
*No gene flow
Rapid loss of old diversity dangers of small populations
*Selection
*Genetic drift/founder effects
*Inbreeding