Lecture 36- Conservation tools II Flashcards

1
Q

What are the 3 tools we will talk about?

A

Inferring risk of extinction - Solow’s equation - surrogates - PVA

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2
Q

What is risk?

A

Three Components of Risk: 1. the probability that an event will occur in particular time frame 2. a measure of the consequences of the event 3. a time frame over which risk is considered • e.g. “there is a 5% probability that the population will become extinct within the next 50 years”

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3
Q

What is a herbaria and a museum?

A

-collection of data about plant and animal species -information about species

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4
Q

What is the Solow’s equation?

A
  • equation to calculate probability of extinctions from obseravtions
  • probability that a species is extant (still around)
  • Tn is the date of the most recent sighting

Tn-1 is the date of the second most recent sighting

T is the date of the end of the observation period

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5
Q

What is the example of using Solow’s equation?

A
  • probability that species is extinct is 1-the probability that it is extant
  • if p extant= 0.1 so the p extinct= 0.9
  • what doesn’t the equation take into account is how hard it is to find the individuals etc.
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6
Q

What can you measure if don’t have the data needed for Solow’s equation?

A

• We don’t always have the data at hand to calculate the risk of extinction… • Measures to represent risk of extinction can include: – Range contraction – Population decline – Changes in ecological processes – Changes in ecosystem composition – Changes in physico-chemical processes (flows of energy and nutrients) …How much change is acceptable?

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7
Q

What are the IUCN red list categories?

A

-each 5 years the countries reasses the state of species on the red list -Extinct (EX) -Extinct in the wild (EW) -Threatened: Critically Endangered (CR) Endangered (EN) Vulnerable (VU) -Low Risk (LR) -Data Deficient (DD) -Not Evaluated (NE)

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8
Q

What does critically endangered mean?

A

• Critically endangered = 50% chance of extinction over 10 years

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9
Q

What does endangered mean?

A

• Endangered = 20% chance of extinction over 20 years

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10
Q

What does vulnerable mean?

A

• Vulnerable = 10% chance of extinction over 100 years

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11
Q

What rules does IUCN use to asses risk?

A

-(most) IUCN rules employ surrogates of extinction risk -A-D are surrogates of extinction risk -Rule A: Reduction in population size -Rule B: Restricted range and a combination of: - severely fragmented - continuing decline - extreme fluctuation -Rule C: Small population size with a continuing decline Rule D: Small population size -Rule E: Risk of Extinction (a direct measure using PVA)= can use mathematical data,skills to asses the risk -we have to be careful as they are not always tested

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12
Q

What is PVA (population viability analysis)?

A

-A PVA is a mathematical representation of what we believe to be true about the ecology and dynamics of a species or population. -It has three main uses: 1. Guiding data collection(examine uncertainty) 2. Ranking threatened species 3. Assisting management decisions (e.g.payoff curves) -the thing it is the harder the PVA get the harder it is to scrutinize

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13
Q

What is the basic population model?

A
  • Nt+1= population next year
  • Nt= population this year
  • B= births
  • D= deaths
  • I= immigration
  • E= emmigrants
  • also need to take into account other forces that affect the extinction and survival (next question)
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14
Q

What are the extinction processes?

A
  1. Deterministic forces 2. Stochastic factors • demographic stochasticity (sth. about randomness about death and birth rates) • environmental stochasticity (can have good and bad years) • genetic stochasticity (have sublethal alleles, if combine can have lethal) • Spatial variation • catastrophes (floods, fire etc.)
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15
Q

How can you model demographic stochasticty?

A
  • really important for small populations
  • N(t) = pop next year
  • N(t+1) = pop. this year
  • f = fecundity rate
  • s = survival rate
  • r = growth rate
  • if r is 1 then population is constant, if greater than 1 then exponentially increasing population, when less than one then in decline
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16
Q

What are the trade offs?

A

-advice from one group and another, scientific and social for example

17
Q

What is demographic stochasticity?

A
  • Demographic stochasticity: variation in population size that is due to the random processes of birth and death. Important for small populations
  • overall line is smooth
  • but zoom in and have ups and downs
  • this is crucial for small populations as the down can mean extinction
18
Q

What is environmental stochasticity?

A

-what environmental factors influence the rate of fecundity and survival -rainfall is a good example -

19
Q

What is the basic population model like?

A

-it is a deterministic model, if we didn’t take the stochasticity into account it would not be accurate -it would be naive as don’t include risk -use quasi extinction rates= use acceptable levels above or below the animal will not survive -if we include stochasticity in the model= get uncertain bounds, the population + 1 can be anywhere from the bottom to top, must account for uncertainty -the more stochasticity and risk your have the greater risk

20
Q

What would we do in a stochastic model?

A

-include as much environmental information into the model -the threats etc.

21
Q

What is a metapopulation?

A

• Metapopulations: a collection of discrete populations linked by dispersal -• Density dependence= the community is limited by resources, if highly dense population= then lower fecundity as • Harvesting, predation, competition, disease, catastrophes -trade off between model simplicity and realism

22
Q

What are the limitations of PVAs?

A

• PVAs suffer from a lack of data on – demographic rates – spatial distribution, habitat, dispersal – correlations – nature and magnitude of variation – validation/testing/assessment -hard to make, hard to understand, hard to scrutinize if they don’t do maths much -expensive and labor intensive

23
Q

Why use PVA?

A

• Internally consistent (left equals right) • Transparent • Explicit about assumptions • Repeatable • Free from linguistic ambiguity • Incorporates uncertainty