Title: Lecture Outline: Population Harvesting
1Lecture Outline Population Harvesting
- Why harvest?
- Scope of harvesting
- Additive versus compensatory mortality
- Empirical evaluation mallards
- Empirical evaluation mule deer
- Maximum sustainable yield (MSY)
- Sustainable harvest strategies
- Age- and sex-structured harvesting
2Why harvest?
- Management toolmaintain wildlife populations at
levels acceptable to society
- Avoid overexploitation and underexploitation
3Harvesting as a management tool
- Example Whitetail deer at Allerton Park
- Intolerable densities
- Severe destruction to plant community
- High disease risk
- Initiated archery hunt to reduce herd
4Scope of Harvesting Waterfowl
- 1.5 million hunters in U.S.
- 13 million waterfowl harvested/yr
- 1.6 billion/yr spent locally
- 25 million/yr for habitat from duck stamps
5Scope of Harvesting Illinois Deer
- 2007-2008 Season 198,544 deer harvested
- Data from 2001
- 310,000 hunting licenses sold (238,000 for deer)
- 451,000,000 spent on hunting (232,000,000 for
deer) - 4.5 million hunting days (3.1 million for deer)
- 1.5 million Illinois residents (16) are
consumptive users
6Scope of Harvesting Illinois Furbearers
- 2006-2007 Illinois Fur Harvest Summary (IDNR)
- Total number of pelts sold 213,057
- Total value of pelts sold 1,757,789
- No. 1 species - raccoon (136,883 pelts)
- No. 2 species - muskrat (50,483 pelts)
- No. 3 species - coyote (8,218 pelts)
7Additive vs. Compensatory Mortality
Does harvesting increase the overall mortality
rate for a population?
Does harvesting simply remove a surplus of
individuals that would otherwise die from other
causes?
8Compensatory mortality requires density-dependent
survival
1
Additive
Natural survival rate
0.5
Compensatory
0
0
100
50
Population size
Hence, all of the issues that we have talked
about in regards to measuring and understanding
density dependence apply to the questions of
whether hunting mortality is compensatory.
9An example
- Assume that harvest mortality takes place first
and then natural mortality occurs rest of year in
density-dependent fashion.
Sn B0 B1N
where Sn is natural survival rate outside of
hunting season.
(Borrowed from Gary Whites Lecture Notes, CSU)
10An example
- Now, we remove hunting so that 90 individuals
undergo natural mortality.
Sn 0.8333 0.005556 (90) 0.333
11Types of compensatory mortality
1. Complete hunting mortality is completely
compensated for by increase in survival outside
of hunting season
2. Partial hunting mortality is partially
compensated for by increase in survival outside
of hunting season
12Types of compensatory mortality
3. Threshold hunting mortality is compensated
for by an increase in survival outside of
hunting season to a threshold harvest value (c).
Beyond threshold, population cannot compensate
for harvest and overall survival rate decreases.
Additive
Compensatory
Annual survival rate (S)
Annual survival rate (S)
c
Hunting mortality rate (K)
Hunting mortality rate (K)
13Empirical evaluations compensatory vs. additive
mortality
- Band recovery data from 410,000 adult mallards
- Multiple studies in N. America from 1950 to 1979
- Alternative hypotheses complete compensatory
and totally additive
- Rejected the hypothesis of total additivity and
concluded that it appears that hunting
mortalities are largely compensated for by other
forms of mortality.
(Burnham, KP and DR Anderson. 1984. Ecology
65105-112)
14Empirical evaluations compensatory vs. additive
mortality
- Band recovery data for mallards from 1979-1989.
- Strongly rejected the complete compensatory
hypothesis.
- Concluded that under certain conditions,
restrictive regulations can successfully increase
survival rate of mallards.
(Smith, GW, and RE Reynolds. 1992. J. Wildlife
Manage. 56306-316.)
15Empirical evaluations compensatory vs. additive
mortality
(Poysa H et al. 2004. Oikos 104612-615)
16Empirical evaluations compensatory vs. additive
mortality
- Used three experimental manipulations to test the
hypothesis of compensatory mortality in a
Colorado mule deer population.
- Focused on survival of fawns and used
radio-collared deer.
Bartmann, RM et al. 1992. Wildlife Monographs No.
121.
17Experiment I Density reduction in field
- Hunting mortality was simulated by live trapping
and removing 20 of the population on half of
the Ridge study area in November-December.
- Estimated mortality rates of fawns on treatment
and control areas until June.
18Experiment II Controlled density in pastures
- Stocked three pastures with different deer
densities in winter and estimated overwinter fawn
mortality rates
- Simulated situation in which all pastures stocked
as same high density (133 deer/km2) and then
different harvest levels imposed (67, 33, 0)
19Experiment II Controlled density in pastures
- Fawn survival was related negatively to density.
20Experiment III Predator removal
- Tested null hypothesis that decreased predation
rate on mule deer fawns does not affect overall
survival rate
- Predation rates decreased and starvation rates
increased, but no change in overall fawn survival
was detected. Concluded that results again
supported compensatory mortality.
21Maximum sustainable yield (MSY)
- The largest average harvest that can be
continuously taken from a population under
existing environmental conditions (without
driving population toward extinction)
- MSY equals the maximum rate of recruitment, and
it is obtained by depressing population to
density at which the recruitment curve peaks
(always below K)
- MSY was dominant concept in harvesting for many
years in fisheries, wildlife, forestry.
22MSY for logistic growth model
Peak recruitment
½ K
- Nu is a stable equilibrium (values Nu will
decrease to Nu values between NL and Nu will
increase to Nu)
- NL is an unstable equilibrium (population moves
away from it, up or down)
23Potential problems with simple MSY harvesting
strategy
- Assumes that managers know K and current
population size so they can thus harvest exactly
the number of individuals to maintain population
at MSY.
- Real populations are not deterministic.
Environmental variation is common.
- Age- or stage-structure can be important.
24Harvesting Strategies
- Used long-term data set to model fluctuations of
willow ptarmigan population in Sweden (using
stochastic version of theta-logistic model).
- One of most important game species in
Fennoscandia (100,000 hunters harvest
300,000-500,000 ptarmigan each year in Norway)
- Examined how different harvest strategies affect
mean annual yields, and how uncertainties in
population estimates affect choice of strategy.
Annes, S. et al. 2002. Ecological Applications
12281-290.
25Harvesting Strategies
1. Constant harvesting
- Provides stable yield
- Models suggest can drive population to extinction
(especially populations with low growth rates and
large stochastic fluctuations)
26Harvesting Strategies
4. Threshold harvesting
- Requires estimate of population size (N) and
threshold (c) - Harvest estimated number of birds greater than
threshold population - Harvest N c for N c. Otherwise, no harvest.
27Age-structured Harvest
- Hunters select certain ages
- Different ages contribute differently to
population growth - Example Elk in Yellowstone
- Hunters select middle-aged cows with highest
reproductive value - Wolves select young and old
- Population can support more predation from wolves
28Sex-structured Harvest
- Most models used to predict effects of harvesting
on wildlife populations disregard males.
- But killing of adult males can reduce population
growth if immigrant males that replace a removed
male kill young.
- Sexually selective infanticide hypothesis
predicts that survival of cubs will be lower
after resident bear is killed.
- Population consequences of harvesting one adult
male brown bear equals that of harvesting 0.5 -
1.0 adult females.
(Swenson et al. 1997. Nature 386450-451)
29Harvest as a selective force
- Example African elephants
- Exploited for illegal ivory market
- Increased proportion of tuskless females
- Sex-linked, heritable trait
30A few summary points
- More field experiments are required to understand
better the mechanisms underlying the responses of
wildlife populations to harvesting, especially
compensatory mortality.
- Harvesting should be conducted as adaptive
management within a flexible framework that
allows for changes in regulations as new data and
insights are obtained.